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#!/usr/bin/python from load import LoadState, LoadHandler from sys import argv, stdout from base64 import b64encode def arr_join(arr): return ", ".join(map(lambda x: "\"{}\"".format(x), arr)) class Handler(LoadHandler): def load_file(self, state, file, packs, type): super(Handler, self).load_file(state, file, packs, type) stdout.write("/* Including packs: {} */\n".format(", ".join(packs))) if type == LoadState.TYPE_PACK: deps = state.getDependencies(packs[0]) if "load" not in packs: # function(file, provided, required, size, type) stdout.write('load.addDependency("about:blank", [{}], [{}], 0, {});\n\n'.format( arr_join(packs), arr_join(deps), LoadState.TYPE_PACK )) with open(file) as f: for l in f.readlines(): stdout.write(l) stdout.write("\n") if type == LoadState.TYPE_RES: with open(file) as f: buff = f.read() for p in packs: stdout.write('load.provideResource("{}", atob("{}"));\n\n'.format(p, b64encode(buff))) if type == LoadState.TYPE_BINRES: with open(file, "rb") as f: buff = f.read() for p in packs: stdout.write('load.provideBinaryResource("{}", "{}");\n\n'.format(p, b64encode(buff))) if type == LoadState.TYPE_EXT: for p in packs: deps = state.getDependencies(p) # function(file, provided, required, size, type) stdout.write('load.addDependency("{}", [\"{}\"], [{}], 0, {});\n\n'.format( file, p, arr_join(deps), LoadState.TYPE_EXT )) """ Evaluate a single package """ def evaluate(self, state, pack, type): super(Handler, self).evaluate(state, pack, type) if len(argv) != 3: print("Usage: catter.py deps.json pack") exit(1) ls = LoadState(handler=Handler()) ls.loadDeps(argv[1]) ls.importAndEvaluate("load") ls.importAndEvaluate(argv[2]) stdout.write("load.importAndEvaluate(\"{}\");\n".format(argv[2]))
class OpplastException(Exception): """General exception class for opplast""" class VideoIDError(OpplastException): """Error for when Video ID is not found""" class ExceedsCharactersAllowed(OpplastException): """Exception for when given string is too long"""
# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class RRappdirs(RPackage): """An easy way to determine which directories on the users computer you should use to save data, caches and logs. A port of Python's 'Appdirs' to R.""" homepage = "https://cloud.r-project.org/package=rappdirs" url = "https://cloud.r-project.org/src/contrib/rappdirs_0.3.1.tar.gz" list_url = "https://cloud.r-project.org/src/contrib/Archive/rappdirs" version('0.3.1', sha256='2fd891ec16d28862f65bb57e4a78f77a597930abb59380e757afd8b6c6d3264a') depends_on('r@2.14:', type=('build', 'run'))
#!/usr/bin/env python from __future__ import unicode_literals import argparse import io import json import xml.etree.ElementTree SubElement = xml.etree.ElementTree.SubElement XFACTOR = 20 YFACTOR = 20 XMARGIN = 5 YMARGIN = 5 FONT_SIZE = 15 BITMARKER_HEIGHT = 10 def layout(fields, width): """ Adds virtual_x1 / virtual_x2 and virtual_y1 / virtual_y2 (in virtual coordinates) to all fields Returns height in virtual coordinates """ # Calculate virtual coordinates x = 0 y = 0 for field in fields: size = field['size'] assert size >= 1 assert (x + size <= width) or (x == 0 and size % width == 0) field['virtual_x1'] = x field['virtual_y1'] = y field['virtual_x2'] = x + ((size - 1) % width) + 1 field['virtual_y2'] = y + max(size // width, 1) y = y + ((x + size) // width) x = (x + size) % width return field['virtual_y2'] def plot_file(fn): with io.open(fn, 'r', encoding='utf-8') as f: proto = json.load(f) doc = xml.etree.ElementTree.Element('svg') doc.attrib['xmlns'] = 'http://www.w3.org/2000/svg' width = proto.get('width', 32) large_mark_every = proto.get('large_mark_every', 8) medium_mark_every = proto.get('medium_mark_every', 4) fields = proto['fields'] height = layout(fields, width) # Translate into physical coordinates document_width = XMARGIN + width * XFACTOR + XMARGIN document_height = YMARGIN + BITMARKER_HEIGHT + height * YFACTOR + YMARGIN xcoord = lambda v: XMARGIN + v * XFACTOR ycoord = lambda v: YMARGIN + BITMARKER_HEIGHT + YFACTOR * v doc.attrib['viewBox'] = '0 0 %d %d' % (document_width, document_height) bitmarkers = SubElement(doc, 'g') # Bit markers for i in range(0, width + 1): bm = SubElement(bitmarkers, 'line') factor = ( 1 if (i % large_mark_every) == 0 else (0.56 if (i % medium_mark_every) == 0 else 0.3) ) bmheight = factor * BITMARKER_HEIGHT bm.attrib.update({ 'x1': str(xcoord(i)), 'x2': str(xcoord(i)), 'y1': str(ycoord(0) - bmheight), 'y2': str(ycoord(0)), 'style': 'stroke:#000000;stroke-opacity:1;stroke-width:1', }) for field in fields: field['x1'] = xcoord(field['virtual_x1']) field['y1'] = ycoord(field['virtual_y1']) field['x2'] = xcoord(field['virtual_x2']) field['y2'] = ycoord(field['virtual_y2']) g = SubElement(doc, 'g') g.attrib['id'] = field['label'] # Draw hint lines vheight = field['virtual_y2'] - field['virtual_y1'] for i in range(1, vheight): line = SubElement(g, 'line') y = field['y1'] + i * YFACTOR line.attrib.update({ 'x1': str(field['x1']), 'x2': str(field['x2']), 'y1': str(y), 'y2': str(y), 'style': 'stroke:#000000;stroke-opacity:0.15;stroke-width:0.5', }) t = SubElement(g, 'text') t.attrib.update({ 'x': str((field['x1'] + field['x2']) / 2), 'y': str((field['y1'] + field['y2']) / 2), 'text-anchor': 'middle', 'dy': '%s' % (.3 * FONT_SIZE), 'font-size': '%s' % FONT_SIZE, }) t.text = field['label'] r = SubElement(g, 'rect') r.attrib.update({ 'x': str(field['x1']), 'y': str(field['y1']), 'width': str(abs(field['x2'] - field['x1'])), 'height': str(abs(field['y2'] - field['y1'])), 'style': 'fill:none;stroke:#000000;stroke-opacity:1', }) xml.etree.ElementTree.dump(doc) def main(): parser = argparse.ArgumentParser(description='Plot protocol formats') parser.add_argument( 'file', metavar='FILE', help='Protocol description file') opts = parser.parse_args() plot_file(opts.file) if __name__ == '__main__': main()
#!/usr/bin/env python import time import os import re import sys import nltk from nltk.tokenize import sent_tokenize import string from nltk.tokenize import RegexpTokenizer from nltk.corpus import stopwords import re from math import log10 file_input = None path = 'test_books' word_counts = {} number_of_terms_in_document = {} number_of_docs_with_term = {} words_tfidf = {} def tfidf(word_counts, total_number_of_documents): for word_and_doc in word_counts: n_terms_appear = int(word_counts[word_and_doc]) terms_in_doc = int(number_of_terms_in_document[word_and_doc.split('#')[1]]) words_tfidf[word_and_doc] = [float(n_terms_appear) / float(terms_in_doc)] word = word_and_doc.split('#')[0] words_tfidf[word_and_doc].append(log10(float(total_number_of_documents) / float(number_of_docs_with_term[word]))) words_tfidf[word_and_doc].append(words_tfidf[word_and_doc][0] * words_tfidf[word_and_doc][1]) def preprocess(sentence): #sentence = sentence.lower() tokenizer = RegexpTokenizer(r'\w+') tokens = tokenizer.tokenize(sentence) filtered_words = [w for w in tokens if not w in stopwords.words('english')] return filtered_words def read_input(file): for line in file: # split the line into words yield preprocess(line) def word_count(word, file): if word + "#" + file in word_counts: word_counts[word + "#" + file] += 1 else: word_counts[word + "#" + file] = 1 if word in number_of_docs_with_term: number_of_docs_with_term[word] += 1 else: number_of_docs_with_term[word] = 1 if file in number_of_terms_in_document: number_of_terms_in_document[file] += 1 else: number_of_terms_in_document[file] = 1 def main(separator='\t'): start_time = time.time() total_number_of_documents = 0 for file in os.listdir(path): total_number_of_documents += 1 current = os.path.join(path, file) if os.path.isfile(current): current_file = open(current) data = read_input(current_file) for words in data: for word in words: word_count(word, file) tfidf(word_counts, total_number_of_documents) with open('out.txt', 'w') as f: for word_and_doc in words_tfidf: f.write( word_and_doc + "\t" + str(words_tfidf[word_and_doc][0]) + "\t" + str(words_tfidf[word_and_doc][1]) + "\t" + str(words_tfidf[word_and_doc][2]) + "\n") f.write(str(time.time() - start_time)) print "%f seconds" % (time.time() - start_time) # print(word_counts) # print(number_of_terms_in_document) # print(total_number_of_documents) # print(number_of_docs_with_term) # print(words_tfidf) if __name__ == "__main__": main()
from lin.exception import Success from lin.redprint import Redprint from app.libs.jwt_api import member_login_required, get_current_member from app.models.comment import Comment from app.validators.v1.comment_forms import CommentContent comment_api = Redprint('comment') @comment_api.route('/product/<int:pid>', methods=['GET']) def get_comments_of_product(pid): models = Comment.get_comments_of_product(pid) return models @comment_api.route('', methods=['POST']) @member_login_required def create_comment(): form = CommentContent().validate_for_api() member = get_current_member() data = { 'member_id': member.id, **form.data } Comment.add(data, throw=True) return Success(msg='评论成功')
from tkinter import * import tkinter import first_face_dataset, registeruser, second_face_training, gallery import mysql.connector import tkinter.scrolledtext as scrolledtext from fpdf import FPDF from PIL import Image,ImageTk from tkinter import filedialog from tkinter import ttk from datetime import datetime #connector mydb = mysql.connector.connect( host="localhost", user="root", password="", db="mynotebook" ) #delete note def delete(*values): mycursor = mydb.cursor() sql="Delete from user"+str(values[0])+" where id='"+str(values[1])+"'" mycursor.execute(sql) mydb.commit() mycursor = mydb.cursor() sql="Delete from images where note_id='"+str(values[1])+"'" mycursor.execute(sql) mydb.commit() alert=Tk() alert.title('Successfull!') alert.minsize(200, 50) alert.maxsize(200, 50) alert.configure(background='#456') Label(alert, text = "Successfully Deleted!",font=('Impact', -20),bg='#456',fg="#42ba96").place(relx = 0.5, rely = 0.5, anchor = 'center') #update note def update(*values): if len(values[0])>0 and len(values[1])>0: mycursor = mydb.cursor() sql="Update user"+str(values[2])+" set subject='"+str(values[1])+"',note='"+str(values[0])+"' where id='"+str(values[3])+"'" mycursor.execute(sql) mydb.commit() alert=Tk() alert.title('Successfull!') alert.minsize(400, 50) alert.maxsize(400, 50) alert.configure(background='#456') Label(alert, text = "Successfully Updated!",font=('Impact', -20),bg='#456',fg="#42ba96").place(relx = 0.5, rely = 0.5, anchor = 'center') else: alert=Tk() alert.title('Alert') alert.minsize(800, 400) alert.maxsize(800, 400) alert.configure(background='#fff') Label(alert, text = "Nothing to update due to empty!",font=('Impact', -20),bg='#fff',fg="#df4759").place(relx = 0.5, rely = 0.5, anchor = 'center') #update note function call def update_text(*values): noteedit=Tk() noteedit.title('Edit Notes') mycursor = mydb.cursor() sql="SELECT * FROM user"+str(values[2])+" where id="+str(values[3]) mycursor.execute(sql) for student in mycursor: for j in range(len(student)): if j==0: e = Label(noteedit,width=15, text=student[j], borderwidth=2,relief='ridge', anchor="w",font=('Impact', -20), bg='#fff', fg='#000') e.pack(side=TOP, anchor=NW) e.config(anchor=CENTER) if j==2: date_time=datetime.strptime(str(student[j]), '%Y-%m-%d %H:%M:%S') d = date_time.strftime("%d %B, %Y") d+=", " d+= date_time.strftime("%I:%M:%S %p") e = Label(noteedit,width=30, text=str(d), borderwidth=2,relief='ridge', anchor="w",font=('Impact', -20), bg='#fff', fg='#000') e.pack(side=TOP, anchor=NE) e.config(anchor=CENTER) sub = Entry(noteedit,font = ('courier', 15, 'bold'), width=50,foreground = 'green',borderwidth=15, relief=tkinter.SUNKEN) mycursor.execute(sql) for student in mycursor: for j in range(len(student)): if j==1: sub.insert(tkinter.INSERT,student[j]) sub.pack(side=TOP, anchor=NW,expand=True, fill='both') txt = scrolledtext.ScrolledText(noteedit, undo=True) txt['font'] = ('consolas', '12') mycursor.execute(sql) for student in mycursor: for j in range(len(student)): if j==3: txt.insert(tkinter.INSERT,student[j]) txt.pack(expand=True, fill='both') txt.config(font=("consolas", 12), undo=True, wrap='word') txt.config(borderwidth=3, relief="sunken") btn = tkinter.Button(noteedit,width=15, text="Update",font=('Impact', -20),fg='#fff', command= lambda:[update(txt.get('1.0', 'end-1c'),str(sub.get()),values[2], values[3])]) btn.configure(background='#5bc0de') btn.pack() #get text for inserting note def get_text(*values): if len(values[0])>0 and len(values[1])>0: mycursor = mydb.cursor() sql="Insert into user"+str(values[2])+" (subject,note) values('"+str(values[1])+"','"+str(values[0])+"')" mycursor.execute(sql) mydb.commit() alert=Tk() alert.title('Successfull!') alert.minsize(400, 50) alert.maxsize(400, 50) alert.configure(background='#456') Label(alert, text = "Note Added!",font=('Impact', -20),bg='#456',fg="#42ba96").place(relx = 0.5, rely = 0.5, anchor = 'center') else: alert=Tk() alert.title('Alert') alert.minsize(400, 50) alert.maxsize(400, 50) alert.configure(background='#fff') Label(alert, text = "Nothing to add due to empty!",bg="#fff",font=('Impact', -20),fg="#df4759").place(relx = 0.5, rely = 0.5, anchor = 'center') #save as pdf def pdf(*values): # save FPDF() class into a # variable pdf pdf = FPDF() # Add a page pdf.add_page() # set style and size of font # that you want in the pdf pdf.set_font("Arial", style='B', size = 15) # create a cell pdf.cell(200, 10, txt = values[1], ln = 1, align = 'C') pdf.set_font("Helvetica", size = 15) #add images mycursor4 = mydb.cursor() sql4="SELECT * FROM images where note_id='"+str(values[3])+"' and user_id='"+str(values[2])+"'" mycursor4.execute(sql4) if mycursor4: for images in mycursor4: for j in range(len(images)): if j==2: im = Image.open(images[j]) width, height = im.size pdf.image(name=images[j], x = None, y = None, w = 190, h = 100, type = '', link = '') # add another cell pdf.cell(200, 10, txt = values[0], ln = 2, align = 'C') # save the pdf with name .pdf pdf.output(str(values[2])+"-"+str(values[3])+".pdf") alert=Tk() alert.title('Successfull!') alert.minsize(200, 50) alert.maxsize(200, 50) alert.configure(background='#456') Label(alert, text = "Successfully Saved!",font=('Impact', -20),bg='#456',fg="#42ba96").place(relx = 0.5, rely = 0.5, anchor = 'center') #view separate note images def view_image(*values): novi = Toplevel() canvas = Canvas(novi, width = 600, height = 600) canvas.pack(expand = YES, fill = BOTH) gif1 = ImageTk.PhotoImage(file = values[0]) #image not visual canvas.create_image(0, 0, image = gif1, anchor = NW) #assigned the gif1 to the canvas object canvas.gif1 = gif1 #view note def view(*values): noteview=Tk() noteview.title('Notes') mycursor = mydb.cursor() sql="SELECT * FROM user"+str(values[0])+" where id="+str(values[1]) mycursor.execute(sql) for student in mycursor: for j in range(len(student)): if j==0: e = Label(noteview,width=15, text=student[j], borderwidth=2,relief='ridge', anchor="w",font=('Impact', -20), bg='#fff', fg='#000') e.pack(side=TOP, anchor=NW) e.config(anchor=CENTER) if j==2: date_time=datetime.strptime(str(student[j]), '%Y-%m-%d %H:%M:%S') d = date_time.strftime("%d %B, %Y") d+=", " d+= date_time.strftime("%I:%M:%S %p") e = Label(noteview,width=30, text=str(d), borderwidth=2,relief='ridge', anchor="w",font=('Impact', -20), bg='#fff', fg='#000') e.pack(side=TOP, anchor=NE) e.config(anchor=CENTER) sub = Entry(noteview,font = ('courier', 15, 'bold'), width=50,foreground = 'green',borderwidth=15, relief=tkinter.SUNKEN) mycursor.execute(sql) for student in mycursor: for j in range(len(student)): if j==1: sub.insert(tkinter.INSERT,student[j]) sub.pack(side=TOP, anchor=NW,expand=True, fill='both') sub.config(state=DISABLED) mycursor4 = mydb.cursor() sql4="SELECT * FROM images where note_id='"+str(values[1])+"' and user_id='"+str(values[0])+"'" mycursor4.execute(sql4) txt = scrolledtext.ScrolledText(noteview, undo=True) txt['font'] = ('consolas', '12') txt.pack(expand=True, fill='both') txt1=noteview counter=0 if mycursor4: for images in mycursor4: for j in range(len(images)): if j==2: counter+=1 txt1.showoriginal = Button(txt1,width=10, text = "View Image "+str(counter),font=('Impact', -10),fg="#fff",command=lambda images=images: view_image(images[2])) txt1.showoriginal.configure(background='#f0ad4e') txt1.showoriginal.pack(side=tkinter.RIGHT) mycursor.execute(sql) for student in mycursor: for j in range(len(student)): if j==3: txt.insert(tkinter.INSERT,student[j]) txt.config(font=("consolas", 12), undo=True, wrap='word') txt.config(borderwidth=5, relief="sunken") txt.config(state=DISABLED) btn = tkinter.Button(noteview,width=15, text="Edit",font=('Impact', -20),fg='#fff', command= lambda:[update_text(txt.get('1.0', 'end-1c'),str(sub.get()),values[0], values[1])]) btn.configure(background='#5cb85c') btn.pack() btn1 = tkinter.Button(noteview,width=15, text="Save as PDF", font=('Impact', -20),fg='#fff', command= lambda:[pdf(txt.get('1.0', 'end-1c'),str(sub.get()),values[0], values[1])]) btn1.configure(background='#0275d8') btn1.pack() #inserting images def add_images(*values): mycursor1 = mydb.cursor() sql="SELECT * FROM user"+str(values[0])+" order by date desc limit 0,1" mycursor1.execute(sql) myresult = mycursor1.fetchone() if myresult: yourImage=filedialog.askopenfilenames(title = "Select your image",filetypes = [("Image Files","*.png"),("Image Files","*.jpg")]) for i in yourImage: mycursor2 = mydb.cursor() id=myresult[0]+1 sql=sql="Insert into images (note_id, path, user_id) values('"+str(id)+"','"+str(i)+"','"+str(values[0])+"')" mycursor2.execute(sql) mydb.commit() alert=Tk() alert.title('Successfull!') alert.minsize(200, 50) alert.maxsize(200, 50) alert.configure(background='#456') Label(alert, text = "Image Added!",font=('Impact', -20),bg='#456',fg="#42ba96").place(relx = 0.5, rely = 0.5, anchor = 'center') else: yourImage=filedialog.askopenfilenames(title = "Select your image",filetypes = [("Image Files","*.png"),("Image Files","*.jpg")]) for i in yourImage: mycursor2 = mydb.cursor() id=1 sql=sql="Insert into images (note_id, path) values('"+str(id)+"','"+str(i)+"')" mycursor2.execute(sql) mydb.commit() alert=Tk() alert.title('Successfull!') alert.minsize(200, 50) alert.maxsize(200, 50) alert.configure(background='#456') Label(alert, text = "Image Added!",font=('Impact', -20),bg='#456',fg="#42ba96").place(relx = 0.5, rely = 0.5, anchor = 'center') #add new note def addnew(*values): add=Tk() add.title('Add a new note') sub = Entry(add,font = ('courier', 15, 'bold'), width=50,foreground = 'green',borderwidth=15, relief=tkinter.SUNKEN) sub.insert(0, "Subject:") sub.pack(side=TOP, anchor=NW,expand=True, fill='both') txt = scrolledtext.ScrolledText(add, undo=True) txt['font'] = ('consolas', '12') txt.pack(expand=True, fill='both') txt.config(font=("consolas", 12), undo=True, wrap='word') txt.config(borderwidth=5, relief="sunken") add.showoriginal = tkinter.Button(add,width=15, text="Insert",font=('Impact', -20),fg='#fff', command= lambda:[get_text(txt.get('1.0', 'end-1c'),str(sub.get()),values[0])]) add.showoriginal.configure(background='#5cb85c') add.showoriginal.pack() add.showoriginal1 = tkinter.Button(add,width=15, text="Add Images",font=('Impact', -20),fg='#fff', command= lambda:[add_images(values[0])]) add.showoriginal1.configure(background='#0275d8') add.showoriginal1.pack() #Gallery def gallerygo(values): gallery.galleryview(values) #profile function def myprofile(id): profile=Tk() profile.title("Profile") main_frame=Frame(profile) main_frame.pack(fill=BOTH, expand=1) profile2=Canvas(main_frame,width = 920, height = 400) profile2.pack(side=LEFT, fill=BOTH, expand=1) sb = ttk.Scrollbar(main_frame, orient=VERTICAL, command=profile2.yview) sb.pack(side = RIGHT, fill = Y) profile2.configure(yscrollcommand = sb.set ) profile2.bind('<Configure>', lambda e: profile2.configure(scrollregion = profile2.bbox("all"))) profile1=Frame(profile2) profile2.create_window((0,0), window=profile1, anchor='nw') Label(profile1, text = "Name: "+str(id), font=('Impact', -15),borderwidth=1, relief="raised", fg='#000').grid(column= 0, row = 1) mycursor = mydb.cursor() sql="CREATE TABLE if not exists user"+str(id)+" (id INT(6) UNSIGNED AUTO_INCREMENT PRIMARY KEY, subject VARCHAR(255) NULL, date TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP NULL, note TEXT NULL)" mycursor.execute(sql) sql="SELECT * FROM user"+str(id)+" order by date desc" mycursor.execute(sql) profile1.showoriginal = Button(profile1, text = "Add a new note",font=('Impact', -15), fg='#fff', command=lambda:[addnew(id)]) profile1.showoriginal.configure(background='#5bc0de') profile1.showoriginal.grid(column= 1, row = 1) profile1.showoriginal = Button(profile1, text = "Refresh",font=('Impact', -15), fg='#fff', command=lambda:[myprofile(id)]) profile1.showoriginal.configure(background='#ffff00') profile1.showoriginal.grid(column= 3, row = 1) profile1.showoriginal = Button(profile1, text = "Gallery",font=('Impact', -15), fg='#fff', command=lambda:[gallerygo(id)]) profile1.showoriginal.configure(background='#16ca60') profile1.showoriginal.grid(column= 2, row = 1) e=Label(profile1,width=15,text='Id',borderwidth=3, relief='ridge',anchor='w',bg='yellow',font=('Impact', -15), fg='#000') e.config(anchor=CENTER) e.grid(row=4,column=0) e=Label(profile1,width=50,text='Subject',borderwidth=3, relief='ridge',anchor='w',bg='yellow',font=('Impact', -15), fg='#000') e.config(anchor=CENTER) e.grid(row=4,column=1) e=Label(profile1,width=30,text='Date',borderwidth=3, relief='ridge',anchor='w',bg='yellow',font=('Impact', -15), fg='#000') e.config(anchor=CENTER) e.grid(row=4,column=2) i=5 for student in mycursor: for j in range(len(student)): if j==0: e = Label(profile1,width=15, text=student[j],fg='#000',bg='#fff', borderwidth=3,relief='ridge', anchor="w",font=('Impact', -15)) e.config(anchor=CENTER) e.grid(row=i, column=j) if j==1: e = Label(profile1,width=50, text=student[j],fg='#000',bg='#fff', borderwidth=3,relief='ridge', anchor="w",font=('Impact', -15)) e.config(anchor=CENTER) e.grid(row=i, column=j) if j==2: date_time=datetime.strptime(str(student[j]), '%Y-%m-%d %H:%M:%S') d = date_time.strftime("%d %B, %Y") d+=", " d+= date_time.strftime("%I:%M:%S %p") e = Label(profile1,width=30, text=str(d),fg='#000',bg='#fff', borderwidth=3,relief='ridge', anchor="w",font=('Impact', -15)) e.config(anchor=CENTER) e.grid(row=i, column=j) if j==3: profile1.showoriginal = Button(profile1,width=15, text = "View",font=('Impact', -15),fg='#fff',command=lambda student=student: view(id,student[0]),cursor="mouse") profile1.showoriginal.configure(background='#5cb85c') profile1.showoriginal.grid(column= 3, row = i) profile1.showoriginal = Button(profile1,width=15, text = "Delete",font=('Impact', -15),fg='#fff',command=lambda student=student: delete(id,student[0]),cursor="pirate") profile1.showoriginal.configure(background='#d9534f') profile1.showoriginal.grid(column= 4, row = i) i=i+1 if __name__ == '__main__': # test1.py executed as script # do something myprofile(id)
import argparse def init_argparser(step): parser = argparse.ArgumentParser( description=f'CLI for the {step} starbucks') parser.add_argument( 'load_path', type=str, help=f'Loading files for {step}') parser.add_argument( 'save_path', type=str, help=f'Saving files from {step}') parser.add_argument( '--save', type=bool, default=False, help=f'Should the files be saved?') args = parser.parse_args() load_path = args.load_path save_path = args.save_path save = args.save return (load_path, save_path, save) if __name__ == '__main__': init_argparser('test')
#!/usr/bin/env python # # test_colourbutton.py - # # Author: Paul McCarthy <pauldmccarthy@gmail.com> # import wx import mock import pytest from . import run_with_wx, simclick import fsleyes_widgets.colourbutton as cb def test_Create(): run_with_wx(_test_Create) def _test_Create(): frame = wx.GetApp().GetTopWindow() btn = cb.ColourButton(frame) assert list(btn.GetValue()) == [0, 0, 0, 255] btn.SetValue((20, 30, 40)) assert list(btn.GetValue()) == [20, 30, 40, 255] btn.SetValue((20, 30, 40, 50)) assert list(btn.GetValue()) == [20, 30, 40, 50] with pytest.raises(ValueError): btn.SetValue([0]) with pytest.raises(ValueError): btn.SetValue([0, 1]) with pytest.raises(ValueError): btn.SetValue([0, 1, 2, 3, 4]) with pytest.raises(ValueError): btn.SetValue([-1, 0, 2]) with pytest.raises(ValueError): btn.SetValue([256, 20, 6]) class MockColourDialog(object): retval = wx.ID_OK colour = [0, 0, 0, 255] def __init__(self, parent, colourData): self.colourData = colourData def ShowModal(self): self.colourData.SetColour(MockColourDialog.colour) return MockColourDialog.retval def GetColourData(self): return self.colourData def test_Event(): run_with_wx(_test_Event) def _test_Event(): sim = wx.UIActionSimulator() frame = wx.GetApp().GetTopWindow() btn = cb.ColourButton(frame) colours = [(50, 60, 70), (90, 100, 150, 200)] result = [None] def handler(ev): result[0] = ev.colour btn.Bind(cb.EVT_COLOUR_BUTTON_EVENT, handler) for colour in colours: MockColourDialog.colour = colour with mock.patch('fsleyes_widgets.colourbutton.wx.ColourDialog', side_effect=MockColourDialog): simclick(sim, btn) if len(colour) == 3: colour = list(colour) + [255] assert list(result[0]) == list(colour) assert list(btn.GetValue()) == list(colour) # Test dialog cancel MockColourDialog.retval = wx.ID_CANCEL MockColourDialog.colour = (20, 20, 20, 10) colour = (150, 160, 170) result = [None] btn.SetValue(colour) with mock.patch('fsleyes_widgets.colourbutton.wx.ColourDialog', side_effect=MockColourDialog): simclick(sim, btn) assert result[0] is None assert list(btn.GetValue()) == list(colour) + [255]
from tests import TEST_ROLE, client def test_role_base(): response = client.get(f'/role/{TEST_ROLE}') assert response.status_code == 200 assert response.text.startswith("<html>\n <head>\n") assert response.text.count(TEST_ROLE) == 17
# Copyright 2017 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Update a rotation schedule.""" from googlecloudsdk.api_lib.cloudkms import base as cloudkms_base from googlecloudsdk.calliope import base from googlecloudsdk.calliope import exceptions from googlecloudsdk.command_lib.kms import flags class SetRotationSchedule(base.UpdateCommand): r"""Update the rotation schedule for a CryptoKey. Updates the rotation schedule for the the given CryptoKey. The schedule automatically creates a new primary CryptoKeyVersion for the CryptoKey according to the `--next-rotation-time` and `--rotation-period` flags. The flag `--next-rotation-time` must be in ISO or RFC3339 format, and `--rotation-period` must be in the form INTEGER[UNIT], where units can be one of seconds (s), minutes (m), hours (h) or days (d). Key rotations performed manually via `update-primary-version` and the CryptoKeyVersion `create` do not affect the stored `--next-rotation-time`. ## EXAMPLES The following command sets a 30 day rotation period for the CryptoKey named `frodo` within the KeyRing `fellowship` and location `global` starting at the specified time: $ {command} frodo \ --location global \ --keyring fellowship \ --rotation-period 30d \ --next-rotation-time 2017-10-12T12:34:56.1234Z """ @staticmethod def Args(parser): flags.AddCryptoKeyArgument(parser, 'to update the schedule of') flags.AddRotationPeriodFlag(parser) flags.AddNextRotationTimeFlag(parser) def Run(self, args): client = cloudkms_base.GetClientInstance() messages = cloudkms_base.GetMessagesModule() crypto_key_ref = flags.ParseCryptoKeyName(args) req = messages.CloudkmsProjectsLocationsKeyRingsCryptoKeysPatchRequest( projectsId=crypto_key_ref.projectsId, locationsId=crypto_key_ref.locationsId, keyRingsId=crypto_key_ref.keyRingsId, cryptoKeysId=crypto_key_ref.cryptoKeysId, cryptoKey=messages.CryptoKey()) flags.SetNextRotationTime(args, req.cryptoKey) flags.SetRotationPeriod(args, req.cryptoKey) fields_to_update = [] if args.rotation_period is not None: fields_to_update.append('rotationPeriod') if args.next_rotation_time is not None: fields_to_update.append('nextRotationTime') if not fields_to_update: raise exceptions.ToolException( 'At least one of --next-rotation-time or --rotation-period must be ' 'specified.') req.updateMask = ','.join(fields_to_update) return client.projects_locations_keyRings_cryptoKeys.Patch(req)
# Cryomagnetics_CS4, Cryomagnetics CS4 magnet power supply driver # Reinier Heeres <reinier@heeres.eu>, 2008 # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA from instrument import Instrument import visa import types import logging import re import math import time import re class Cryomagnetics_4G(Instrument): UNITS = ['A', 'G'] MARGIN = 0.001 # 1 Gauss RE_ANS = re.compile(r'(-?\d*\.?\d*)([a-zA-Z]+)') def __init__(self, name, address, reset=False, axes=('Z')): Instrument.__init__(self, name) self._axes = {} for i in range(len(axes)): self._axes[i+1] = axes[i] self._address = address #>>>>>>>>>>>>>> assert False, "pyvisa syntax has changed, tweak the line below according to the instructions in qtlab/instrument_plugins/README_PYVISA_API_CHANGES" #self._visa = visa.instrument(self._address) #<<<<<<<<<<<<<< self.add_parameter('identification', flags=Instrument.FLAG_GET) self.add_parameter('units', flags=Instrument.FLAG_GETSET, channels=axes, option_list=self.UNITS, type=types.StringType) self.add_parameter('rate0', flags=Instrument.FLAG_GETSET, type=types.FloatType, channels=axes, minval=0, units='A/s') self.add_parameter('rate1', flags=Instrument.FLAG_GETSET, type=types.FloatType, channels=axes, minval=0, units='A/s') self.add_parameter('heater', flags=Instrument.FLAG_GETSET, channels=axes, type=types.BooleanType, doc='''Persistent switch heater on?''') self.add_parameter('magnetout', flags=Instrument.FLAG_GET | Instrument.FLAG_SET, channels=axes, type=types.FloatType, units='kG', format='%.05f', doc='''Magnet current (or field in kG)''') self.add_parameter('supplyout', flags=Instrument.FLAG_GET, channels=axes, type=types.FloatType, units='kG', format='%.05f', doc='''Power supply current (or field in kG)''') self.add_parameter('sweep', flags=Instrument.FLAG_GETSET, channels=axes, option_list=['UP', 'UP FAST', 'DOWN', 'DOWN FAST', 'PAUSE', 'ZERO'], type=types.StringType) self.add_parameter('lowlim', flags=Instrument.FLAG_GETSET, channels=axes, type=types.FloatType, minval=-90.0, maxval=90.0, units='kG', format='%.05f') self.add_parameter('uplim', flags=Instrument.FLAG_GETSET, channels=axes, type=types.FloatType, minval=-90.0, maxval=90.0, units='kG', format='%.05f') self.add_parameter('field', flags=Instrument.FLAG_GETSET, channels=axes, type=types.FloatType, minval=-90, maxval=90.0, units='kG', format='%.02f', tags=['sweep'], doc='''Field in Gauss (or Amperes)''') self.add_function('local') self.add_function('remote') self.add_function('sweep_up') self.add_function('sweep_down') self.add_function('pause') self.add_function('zero') if reset: self.reset() else: self.get_all() def reset(self): self._visa.write('*RST') def get_all(self): self.get_identification() for ax in self._axes.values(): self.get('units%s' % ax) self.get('rate0%s' % ax) self.get('rate1%s' % ax) self.get('heater%s' % ax) self.get('magnetout%s' % ax) self.get('supplyout%s' % ax) self.get('lowlim%s' % ax) self.get('uplim%s' % ax) self.get('field%s' % ax) self.get('sweep%s' % ax) def do_get_identification(self): return self._visa.ask('*IDN?') def _update_units(self, unit, channel): if unit == 'G': unit = 'kG' self.set_parameter_options('magnetout%s' % channel, units=unit) self.set_parameter_options('supplyout%s' % channel, units=unit) self.set_parameter_options('lowlim%s' % channel, units=unit) self.set_parameter_options('uplim%s' % channel, units=unit) def do_get_nchannels(self): ans = self._visa.ask('CHAN?') if ans not in ('1', '2'): return 2 else: return 1 def _select_channel(self, channel): for i, v in self._axes.iteritems(): if v == channel: self._visa.write('CHAN %d' % i) return True raise ValueError('Unknown axis %s' % channel) def do_get_units(self, channel): self._select_channel(channel) ans = self._visa.ask('UNITS?') self._update_units(ans, channel) return ans def do_set_units(self, unit, channel): if unit not in self.UNITS: logging.error('Trying to set invalid unit: %s', unit) return False self._select_channel(channel) self._visa.write('UNITS %s' % unit) self._update_units(unit, channel) def _check_ans_unit(self, ans, channel): m = self.RE_ANS.match(ans) if not m: logging.warning('Unable to parse answer: %s', ans) return False val, unit = m.groups((0,1)) try: val = float(val) except: val = None set_unit = self.get('units%s' % channel, query=False) if set_unit == 'G': set_unit = 'kG' if unit != set_unit: logging.warning('Returned units (%s) differ from set units (%s)!', unit, set_unit) return None return val def do_get_rate0(self, channel): self._select_channel(channel) ans = self._visa.ask('RATE? 0') return float(ans) def do_get_rate1(self, channel): self._select_channel(channel) ans = self._visa.ask('RATE? 1') return float(ans) def do_set_rate0(self, rate, channel): self._select_channel(channel) self._visa.write('RATE 0 %.03f\n' % rate) def do_set_rate1(self, rate, channel): self._select_channel(channel) self._visa.write('RATE 1 %.03f\n' % rate) def do_get_heater(self, channel): self._select_channel(channel) ans = self._visa.ask('PSHTR?') if len(ans) > 0 and ans[0] == '1': return True else: return False def do_set_heater(self, on, channel): if on: text = 'ON' else: text = 'OFF' self._select_channel(channel) self._visa.write('PSHTR %s' % text) def local(self): self._visa.write('LOCAL') def remote(self): self._visa.write('REMOTE') def do_get_magnetout(self, channel): self._select_channel(channel) ans = self._visa.ask('IMAG?') return self._check_ans_unit(ans, channel) def do_set_magnetout(self, val, channel): self._select_channel(channel) ans = self._visa.write('IMAG %f\n' % val) return True def do_get_supplyout(self, channel): self._select_channel(channel) ans = self._visa.ask('IOUT?') return self._check_ans_unit(ans, channel) def do_get_sweep(self, channel): self._select_channel(channel) ans = self._visa.ask('SWEEP?') return ans def do_set_sweep(self, val, channel): self._select_channel(channel) val = val.upper() if val not in ['UP', 'UP FAST', 'DOWN', 'DOWN FAST', 'PAUSE', 'ZERO']: logging.warning('Invalid sweep mode selected') return False self._visa.write('SWEEP %s' % val) def sweep_up(self, channel, fast=False): cmd = 'UP' if fast: cmd += ' FAST' return self.set('sweep%s' % channel, cmd) def sweep_down(self, channel, fast=False): cmd = 'DOWN' if fast: cmd += ' FAST' return self.set('sweep%s' % channel, cmd) def do_get_lowlim(self, channel): self._select_channel(channel) ans = self._visa.ask('LLIM?') return self._check_ans_unit(ans, channel) def do_set_lowlim(self, val, channel): self._select_channel(channel) self._visa.write('LLIM %f\n' % val) def do_get_uplim(self, channel): self._select_channel(channel) ans = self._visa.ask('ULIM?') return self._check_ans_unit(ans, channel) def do_set_uplim(self, val, channel): self._select_channel(channel) self._visa.write('ULIM %f\n' % val) def do_set_field(self, val, channel, wait=False): self._select_channel(channel) units = self.get('units%s' % channel, query=False) if units != 'G': logging.warning('Unable to set field when units not in Gauss!') return False if not self.get('heater%s' % channel, query=False): logging.warning('Unable to sweep field when heater off') return False cur_magnet = self.get('magnetout%s' % channel) cur_supply = self.get('supplyout%s' % channel) if math.fabs(cur_magnet - cur_supply) > self.MARGIN: logging.warning('Unable to set field when magnet (%f) and supply (%f) not equal!', cur_magnet, cur_supply) return False if val > cur_magnet: self.set('uplim%s' % channel, val) self.sweep_up(channel) else: self.set('lowlim%s' % channel, val) self.sweep_down(channel) if wait: while math.fabs(val - self.get('magnetout%s' % channel)) > self.MARGIN: time.sleep(0.050) return True def do_get_field(self, channel): self._select_channel(channel) unit = self.get('units%s' % channel, query=False) if unit != 'G': logging.warning('Unable to determine field if units are not Gauss') return None magnet_field = self.get('magnetout%s' % channel) return magnet_field def pause(self): for ax in self._axes.values(): self.set('sweep%s' % ax, 'PAUSE') def zero(self): for ax in self._axes.values(): self.set('sweep%s' % ax, 'ZERO')
#Language Coverage languageDict = { 'Afrikaans':['Egrave','egrave','Eacute','eacute','Ecircumflex','ecircumflex','Edieresis','edieresis','Icircumflex','icircumflex','Idieresis','idieresis','napostrophe','Ocircumflex','ocircumflex','Ucircumflex','ucircumflex'], 'Albanian':['Ccedilla','ccedilla','Edieresis','edieresis'], 'Basque':['Ntilde','ntilde','Udieresis','udieresis'], 'Belarusian':['Cacute','cacute','Ccaron','ccaron','Lslash','lslash','Nacute','nacute','Sacute','sacute','Scaron','scaron','Ubreve','ubreve','Zacute','zacute','Zcaron','zcaron'], 'Bosnian':['Cacute','cacute','Ccaron','ccaron','Dcroat','dcroat','Scaron','scaron','Zcaron','zcaron'], 'Catalan':['Agrave','agrave','Ccedilla','ccedilla','Egrave','egrave','Eacute','eacute','Iacute','iacute','Idieresis','idieresis','Ldot','ldot','Ntilde','ntilde','Ograve','ograve','Oacute','oacute','Uacute','uacute','Udieresis','udieresis'], 'Croatian':['Cacute','cacute','Ccaron','ccaron','Dcroat','dcroat','Scaron','scaron','Zcaron','zcaron'], 'Czech':['Aacute','aacute','Ccaron','ccaron','Dcaron','dcaron','Eacute','eacute','Ecaron','ecaron','Iacute','iacute','Ncaron','ncaron','Oacute','oacute','Rcaron','rcaron','Scaron','scaron','Tcaron','tcaron','Uacute','uacute','Uring','uring','Yacute','yacute','Zcaron','zcaron'], 'Danish':['Aacute','aacute','Aring','aring','Aringacute','aringacute','AE','ae','AEacute','aeacute','Eacute','eacute','Iacute','iacute','Oacute','oacute','Oslash','oslash','Oslashacute','oslashacute','Uacute','uacute','Yacute','yacute'], 'Dutch':['Aacute','aacute','Acircumflex','acircumflex','Adieresis','adieresis','Egrave','egrave','Eacute','eacute','Ecircumflex','ecircumflex','Edieresis','edieresis','Iacute','iacute','Idieresis','idieresis','Oacute','oacute','Ocircumflex','ocircumflex','Odieresis','odieresis','Uacute','uacute','Ucircumflex','ucircumflex','Udieresis','udieresis','IJ','ij','IJacute','ijacute'], 'English':['AE','ae','Ccedilla','ccedilla','Idieresis','idieresis','Ocircumflex','ocircumflex','OE','oe','Aacute','aacute','Egrave','egrave','Eacute','eacute','Edieresis','edieresis','Ecircumflex','ecircumflex','Ntilde','ntilde','Odieresis','odieresis'], 'Esperanto':['Ccircumflex','ccircumflex','Gcircumflex','gcircumflex','Hcircumflex','hcircumflex','Jcircumflex','jcircumflex','Scircumflex','scircumflex','Ubreve','ubreve'], 'Estonian':['Adieresis','adieresis','Otilde','otilde','Odieresis','odieresis','Scaron','scaron','Udieresis','udieresis','Zcaron','zcaron'], 'Filipino':['Ntilde','ntilde'], 'Finnish':['Adieresis','adieresis','Aring','aring','AE','ae','Odieresis','odieresis','Otilde','otilde','Oslash','oslash','Scaron','scaron','Udieresis','udieresis','Zcaron','zcaron'], 'French':['Agrave','agrave','Acircumflex','acircumflex','Ccedilla','ccedilla','Egrave','egrave','Eacute','eacute','Ecircumflex','ecircumflex','Edieresis','edieresis','Icircumflex','icircumflex','Idieresis','idieresis','Ocircumflex','ocircumflex','OE','oe','Ugrave','ugrave','Ucircumflex','ucircumflex','Udieresis','udieresis','Ydieresis','ydieresis','AE','ae'], 'Galician':['Aacute','aacute','Eacute','eacute','Iacute','iacute','Ntilde','ntilde','Oacute','oacute','Uacute','uacute','Udieresis','udieresis'], 'German':['Adieresis','adieresis','Odieresis','odieresis','uni1E9E','germandbls','Udieresis','udieresis','Agrave','agrave','Eacute','eacute'], 'Hawaiian':['Amacron','amacron','Emacron','emacron','Imacron','imacron','Omacron','omacron','Umacron','umacron'], 'Hungarian':['Aacute','aacute','Eacute','eacute','Iacute','iacute','Oacute','oacute','Odieresis','odieresis','Ohungarumlaut','ohungarumlaut','Uacute','uacute','Udieresis','udieresis','Uhungarumlaut','uhungarumlaut'], 'Icelandic':['Aacute','aacute','AE','ae','Eth','eth','Eacute','eacute','Iacute','iacute','Oacute','oacute','Odieresis','odieresis','Thorn','thorn','Uacute','uacute','Yacute','yacute','AEacute','aeacute','Oslashacute','oslashacute'], 'Indonesian':['Eacute','eacute'], 'Irish':['Agrave','agrave','Aacute','aacute','Egrave','egrave','Eacute','eacute','Igrave','igrave','Iacute','iacute','Ograve','ograve','Oacute','oacute','Uacute','uacute','Ugrave','ugrave'], 'Italian':['Agrave','agrave','Egrave','egrave','Eacute','eacute','Igrave','igrave','Ograve','ograve','Oacute','oacute','Ugrave','ugrave','Aacute','aacute','Iacute','iacute','Icircumflex','icircumflex','Idieresis','idieresis','Uacute','uacute'], 'Kurdish':['Amacron','amacron','Abreve','abreve','Ccedilla','ccedilla','Eacute','eacute','Ecircumflex','ecircumflex','Emacron','emacron','Ebreve','ebreve','Iacute','iacute','Icircumflex','icircumflex','Imacron','imacron','Ibreve','ibreve','Omacron','omacron','Obreve','obreve','Scommaaccent','scommaaccent','Uacute','uacute','Ucircumflex','ucircumflex','Umacron','umacron','Ubreve','ubreve'], 'Latvian':['Amacron','amacron','Ccaron','ccaron','Emacron','emacron','Gcommaaccent','gcommaaccent','Imacron','imacron','Kcommaaccent','kcommaaccent','Lcommaaccent','lcommaaccent','Ncommaaccent','ncommaaccent','Scaron','scaron','Umacron','umacron','Zcaron','zcaron','Omacron','omacron','Rcommaaccent','rcommaaccent'], 'Lithuanian':['Aogonek','aogonek','Ccaron','ccaron','Eogonek','eogonek','Edotaccent','edotaccent','Iogonek','iogonek','Scaron','scaron','Uogonek','uogonek','Umacron','umacron','Zcaron','zcaron' ], 'Maltese':['Agrave','agrave','Aacute','aacute','Acircumflex','acircumflex','Cdotaccent','cdotaccent','Egrave','egrave','Eacute','eacute','Ecircumflex','ecircumflex','Gdotaccent','gdotaccent','Hbar','hbar','Igrave','igrave','Iacute','iacute','Icircumflex','icircumflex','Ograve','ograve','Oacute','oacute','Ocircumflex','ocircumflex','Ugrave','ugrave','Uacute','uacute','Ucircumflex','ucircumflex','Zdotaccent','zdotaccent'], 'Nahuatl':['Amacron','amacron','Emacron','emacron','Imacron','imacron','Omacron','omacron','Umacron','umacron','Udieresis','udieresis','Ymacron','ymacron'], 'Norwegian':['AE','ae','Oslash','oslash','Aring','aring','Agrave','agrave','Eacute','eacute','Ecircumflex','ecircumflex','Oacute','oacute','Ograve','ograve','Ocircumflex','ocircumflex','Adieresis','adieresis','Odieresis','odieresis','Udieresis','udieresis'], 'Polish': ['Aogonek','aogonek','Cacute','cacute','Eogonek','eogonek','Lslash','lslash','Nacute','nacute','Oacute','oacute','Sacute','sacute','Zacute','zacute','Zdotaccent','zdotaccent'], 'Portuguese':['Agrave','agrave','Aacute','aacute','Acircumflex','acircumflex','Atilde','atilde','Ccedilla','ccedilla','Eacute','eacute','Ecircumflex','ecircumflex','Iacute','iacute','Oacute','oacute','Ocircumflex','ocircumflex','Otilde','otilde','Uacute','uacute','Udieresis','udieresis','Egrave','egrave','Ograve','ograve'], 'Romanian':['Acircumflex','acircumflex','Abreve','abreve','Icircumflex','icircumflex','Scommaaccent','scommaaccent','uni021A','uni021B'], 'Serbian':['Cacute','cacute','Ccaron','ccaron','Dcroat','dcroat','Scaron','scaron','Zcaron','zcaron'], 'Slovak':['Aacute','aacute','Adieresis','adieresis','Ccaron','ccaron','Dcaron','dcaron','Eacute','eacute','Iacute','iacute','Lacute','lacute','Lcaron','lcaron','Ncaron','ncaron','Oacute','oacute','Ocircumflex','ocircumflex','Racute','racute','Scaron','scaron','Tcaron','tcaron','Uacute','uacute','Yacute','yacute','Zcaron','zcaron'], 'Slovenian':['Ccaron','ccaron','Scaron','scaron','Zcaron','zcaron','Cacute','cacute','Dcroat','dcroat','Adieresis','adieresis','Odieresis','odieresis','Udieresis','udieresis'], 'Spanish':['Aacute','aacute','Eacute','eacute','Iacute','iacute','Ntilde','ntilde','Oacute','oacute','Uacute','uacute','Udieresis','udieresis'], 'Swedish':['Adieresis','adieresis','Aring','aring','Eacute','eacute','Odieresis','odieresis','Aacute','aacute','Agrave','agrave','Edieresis','edieresis','Udieresis','udieresis'], 'Tahitian':['Amacron','amacron','Emacron','emacron','Imacron','imacron','Omacron','omacron','Umacron','umacron'], 'Turkish':['Acircumflex','acircumflex','Ccedilla','ccedilla','Gbreve','gbreve','Icircumflex','icircumflex','Idotaccent','dotlessi','Odieresis','odieresis','Scommaaccent','scommaaccent','Ucircumflex','ucircumflex','Udieresis','udieresis'], 'Welsh':['Aacute','aacute','Agrave','agrave','Acircumflex','acircumflex','Adieresis','adieresis','Eacute','eacute','Egrave','egrave','Ecircumflex','ecircumflex','Edieresis','edieresis','Iacute','iacute','Igrave','igrave','Icircumflex','icircumflex','Idieresis','idieresis','Oacute','oacute','Ograve','ograve','Ocircumflex','ocircumflex','Odieresis','odieresis','Uacute','uacute','Ugrave','ugrave','Ucircumflex','ucircumflex','Udieresis','udieresis','Yacute','yacute','Ygrave','ygrave','Ycircumflex','ycircumflex','Ydieresis','ydieresis','Wacute','wacute','Wgrave','wgrave','Wcircumflex','wcircumflex','Wdieresis','wdieresis'] }
from django_object_actions import BaseDjangoObjectActions as ObjectActions from django.contrib import admin from django.contrib.admin import ModelAdmin, RelatedOnlyFieldListFilter from core.admin.utils import ( get_change_view_link, get_changelist_view_link, get_html_preview, get_image_preview ) from ..models import ( SemaBaseVehicle, SemaBrand, SemaCategory, SemaDataset, SemaDescriptionPiesAttribute, SemaDigitalAssetsPiesAttribute, SemaEngine, SemaMake, SemaMakeYear, SemaModel, SemaProduct, SemaSubmodel, SemaVehicle, SemaYear ) from .actions import ( SemaBaseVehicleActions, SemaBrandActions, SemaCategoryActions, SemaDatasetActions, SemaDescriptionPiesAttributeActions, SemaDigitalAssetsPiesAttributeActions, SemaEngineActions, SemaMakeActions, SemaMakeYearActions, SemaModelActions, SemaProductActions, SemaSubmodelActions, SemaVehicleActions, SemaYearActions ) from .filters import ( SemaYearByDecade, ByCategoryLevel, HasCategory, HasCategoryPath, HasHtml, HasItem, HasPremierManufacturer, HasPremierProduct, HasPrimaryImage, HasShopifyCollection, HasShopifyProduct, HasShopifyVendor, HasVehicle, HasVendor, SemaBaseVehicleByDecade, SemaBaseVehicleMayBeRelevant, SemaCategoryMayBeRelevant, SemaBrandMayBeRelevant, SemaDescriptionPiesAttributeMayBeRelevant, SemaDigitalAssetsPiesAttributeMayBeRelevant, SemaEngineByDecade, SemaEngineMayBeRelevant, SemaMakeYearByDecade, SemaMakeYearMayBeRelevant, SemaModelMayBeRelevant, SemaProductMayBeRelevant, SemaSubmodelMayBeRelevant, SemaYearMayBeRelevant, SemaVehicleByDecade, SemaVehicleMayBeRelevant ) from .inlines import ( SemaBaseVehicleVehiclesTabularInline, SemaBrandDatasetsTabularInline, SemaCategoryDatasetsTabularInline, SemaCategoryChildCategoriesTabularInline, SemaCategoryParentCategoriesTabularInline, SemaCategoryProductsTabularInline, SemaDatasetCategoriesTabularInline, # SemaDatasetProductsTabularInline, SemaDatasetVehiclesTabularInline, SemaMakeMakeYearsTabularInline, SemaMakeYearBaseVehiclesTabularInline, SemaModelBaseVehiclesTabularInline, SemaProductCategoriesTabularInline, SemaProductDescriptionPiesAttributeTabularInline, SemaProductDigitalAssetsPiesAttributeTabularInline, SemaProductVehiclesTabularInline, SemaSubmodelVehiclesTabularInline, SemaVehicleDatasetsTabularInline, # SemaVehicleEnginesTabularInline, # SemaVehicleProductsTabularInline, SemaYearMakeYearsTabularInline ) @admin.register(SemaBrand) class SemaBrandModelAdmin(ObjectActions, ModelAdmin, SemaBrandActions): actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) search_fields = ( 'brand_id', 'name' ) list_display = ( 'detail_link', 'brand_id', 'name', 'dataset_count', 'primary_image_preview', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaBrandMayBeRelevant, HasVendor, HasPremierManufacturer, HasShopifyVendor, HasPrimaryImage ) fieldsets = ( ( None, { 'fields': ( 'vendor_link', 'premier_manufacturer_link', 'shopify_vendor_link', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Brand', { 'fields': ( 'brand_id', 'name' ) } ), ( 'Images', { 'fields': ( ('primary_image_url', 'primary_image_preview'), ) } ) ) inlines = ( SemaBrandDatasetsTabularInline, ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'primary_image_preview', 'vendor_link', 'premier_manufacturer_link', 'shopify_vendor_link', 'dataset_count' ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def vendor_link(self, obj): if not obj or not obj.pk or not hasattr(obj, 'vendor'): return None return get_change_view_link(obj.vendor, 'See Vendor') vendor_link.short_description = '' def premier_manufacturer_link(self, obj): if (not obj or not obj.pk or not hasattr(obj, 'vendor') or not obj.vendor.premier_manufacturer): return None return get_change_view_link( obj.vendor.premier_manufacturer, 'See Premier Manufacturer', ) premier_manufacturer_link.short_description = '' def shopify_vendor_link(self, obj): if (not obj or not obj.pk or not hasattr(obj, 'vendor') or not obj.vendor.shopify_vendor): return None return get_change_view_link( obj.vendor.shopify_vendor, 'See Shopify Vendor', ) shopify_vendor_link.short_description = '' def dataset_count(self, obj): if not obj or not obj.pk: return None return f'{obj._dataset_relevant_count}/{obj._dataset_count}' dataset_count.admin_order_field = '_dataset_relevant_count' dataset_count.short_description = 'dataset count' def primary_image_preview(self, obj): if not obj or not obj.pk or not obj.primary_image_url: return None return get_image_preview(obj.primary_image_url) primary_image_preview.short_description = '' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'brand_id', ) return readonly_fields def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'brand_id', 'name' ) } ), ) return super().get_fieldsets(request, obj) def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaDataset) class SemaDatasetModelAdmin(ObjectActions, ModelAdmin, SemaDatasetActions): list_select_related = ( 'brand', ) actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action', 'update_dataset_categories_queryset_action', # TO NOTE: too long 'update_dataset_vehicles_queryset_action' # TO NOTE: too long ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) change_actions = ( 'update_dataset_categories_object_action', 'update_dataset_vehicles_object_action' # TO NOTE: too long ) search_fields = ( 'dataset_id', 'name', 'brand__brand_id', 'brand__name' ) list_display = ( 'detail_link', 'dataset_id', 'name', 'brand', 'category_count', 'vehicle_count', 'product_count', 'is_authorized', 'is_relevant', 'relevancy_warnings', 'relevancy_errors' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', ) list_filter = ( 'is_authorized', 'is_relevant', 'brand' ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'is_relevant', 'relevancy_warnings', 'relevancy_errors' ) } ), ( 'Brand', { 'fields': ( 'brand_link', 'brand' ), 'classes': ( 'collapse', ) } ), ( 'Dataset', { 'fields': ( 'dataset_id', 'name' ) } ) ) autocomplete_fields = ( 'brand', ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'detail_link', 'brand_link', 'category_count', 'vehicle_count', 'product_count' ) inlines = ( SemaDatasetCategoriesTabularInline, SemaDatasetVehiclesTabularInline, # SemaDatasetProductsTabularInline # TO NOTE: too long ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def brand_link(self, obj): if not obj or not obj.pk or not obj.brand: return None return get_change_view_link( obj.brand, 'See Full Brand') brand_link.short_description = '' def category_count(self, obj): if not obj or not obj.pk: return None return f'{obj.category_relevant_count}/{obj.category_count}' # category_count.admin_order_field = '_category_relevant_count' category_count.short_description = 'category count' def vehicle_count(self, obj): if not obj or not obj.pk: return None return f'{obj.vehicle_relevant_count}/{obj.vehicle_count}' # vehicle_count.admin_order_field = '_vehicle_relevant_count' vehicle_count.short_description = 'vehicle count' def product_count(self, obj): if not obj or not obj.pk: return None return f'{obj.product_relevant_count}/{obj.product_count}' # product_count.admin_order_field = '_product_relevant_count' product_count.short_description = 'product count' # def get_queryset(self, request): # FIXME # return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'dataset_id', 'brand', 'name' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'dataset_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaYear) class SemaYearModelAdmin(ObjectActions, ModelAdmin, SemaYearActions): actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) search_fields = ( 'year', ) list_display = ( 'detail_link', 'year', 'make_year_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaYearMayBeRelevant, SemaYearByDecade ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Year', { 'fields': ( 'year', ) } ) ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'make_year_count' ) inlines = ( SemaYearMakeYearsTabularInline, ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def make_year_count(self, obj): if not obj or not obj.pk: return None return f'{obj._make_year_relevant_count}/{obj._make_year_count}' make_year_count.admin_order_field = '_make_year_relevant_count' make_year_count.short_description = 'make year count' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'year', ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'year', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaMake) class SemaMakeModelAdmin(ObjectActions, ModelAdmin, SemaMakeActions): actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) search_fields = ( 'make_id', 'name', ) list_display = ( 'detail_link', 'make_id', 'name', 'make_year_count', 'is_authorized', 'is_relevant', 'relevancy_warnings', 'relevancy_errors' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', ) list_filter = ( 'is_authorized', 'is_relevant' ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'is_relevant', 'relevancy_warnings', 'relevancy_errors' ) } ), ( 'Make', { 'fields': ( 'make_id', 'name' ) } ) ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'detail_link', 'make_year_count' ) inlines = ( SemaMakeMakeYearsTabularInline, ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def make_year_count(self, obj): if not obj or not obj.pk: return None return f'{obj._make_year_relevant_count}/{obj._make_year_count}' make_year_count.admin_order_field = '_make_year_relevant_count' make_year_count.short_description = 'make year count' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'make_id', 'name' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'make_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaModel) class SemaModelModelAdmin(ObjectActions, ModelAdmin, SemaModelActions): actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action', ) search_fields = ( 'model_id', 'name' ) list_display = ( 'detail_link', 'model_id', 'name', 'base_vehicle_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaModelMayBeRelevant ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Model', { 'fields': ( 'model_id', 'name' ) } ) ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'base_vehicle_count' ) inlines = ( SemaModelBaseVehiclesTabularInline, ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def base_vehicle_count(self, obj): if not obj or not obj.pk: return None return f'{obj._base_vehicle_relevant_count}/{obj._base_vehicle_count}' base_vehicle_count.admin_order_field = '_base_vehicle_relevant_count' base_vehicle_count.short_description = 'base vehicle count' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'model_id', 'name' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'model_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaSubmodel) class SemaSubmodelModelAdmin(ObjectActions, ModelAdmin, SemaSubmodelActions): actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) search_fields = ( 'submodel_id', 'name' ) list_display = ( 'detail_link', 'submodel_id', 'name', 'vehicle_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaSubmodelMayBeRelevant ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Submodel', { 'fields': ( 'submodel_id', 'name' ) } ) ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'vehicle_count' ) inlines = ( SemaSubmodelVehiclesTabularInline, ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def vehicle_count(self, obj): if not obj or not obj.pk: return None return f'{obj._vehicle_relevant_count}/{obj._vehicle_count}' vehicle_count.admin_order_field = '_vehicle_relevant_count' vehicle_count.short_description = 'vehicle count' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'submodel_id', 'name' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'submodel_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaMakeYear) class SemaMakeYearModelAdmin(ObjectActions, ModelAdmin, SemaMakeYearActions): list_select_related = ( 'year', 'make' ) actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) search_fields = ( 'id', 'year__year', 'make__make_id', 'make__name' ) list_display = ( 'detail_link', 'id', 'year', 'make', 'base_vehicle_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaMakeYearMayBeRelevant, SemaMakeYearByDecade, ('make', RelatedOnlyFieldListFilter) ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception', 'id' ) } ), ( 'Year', { 'fields': ( 'year_link', 'year' ), 'classes': ( 'collapse', ) } ), ( 'Make', { 'fields': ( 'make_link', 'make' ), 'classes': ( 'collapse', ) } ) ) readonly_fields = ( 'id', 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'year_link', 'make_link', 'base_vehicle_count' ) autocomplete_fields = ( 'year', 'make' ) inlines = ( SemaMakeYearBaseVehiclesTabularInline, ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def year_link(self, obj): if not obj or not obj.pk or not obj.year: return None return get_change_view_link(obj.year, 'See Full Year') year_link.short_description = '' def make_link(self, obj): if not obj or not obj.pk or not obj.make: return None return get_change_view_link(obj.make, 'See Full Make') make_link.short_description = '' def base_vehicle_count(self, obj): if not obj or not obj.pk: return None return f'{obj._base_vehicle_relevant_count}/{obj._base_vehicle_count}' base_vehicle_count.admin_order_field = '_base_vehicle_relevant_count' base_vehicle_count.short_description = 'base vehicle count' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'year', 'make' ) } ), ) return super().get_fieldsets(request, obj) def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaBaseVehicle) class SemaBaseVehicleModelAdmin(ObjectActions, ModelAdmin, SemaBaseVehicleActions): list_select_related = ( 'make_year', 'model' ) actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # TO NOTE: too long # 'import_class_action', # TO NOTE: too long # 'unauthorize_class_action', # TO NOTE: too long # 'sync_class_action' # TO NOTE: too long ) search_fields = ( 'base_vehicle_id', 'make_year__year__year', 'make_year__make__make_id', 'make_year__make__name', 'model__model_id', 'model__name' ) list_display = ( 'detail_link', 'base_vehicle_id', 'make_year', 'model', 'vehicle_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaBaseVehicleMayBeRelevant, SemaBaseVehicleByDecade, ('make_year__make', RelatedOnlyFieldListFilter), ('model', RelatedOnlyFieldListFilter) ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Base Vehicle', { 'fields': ( 'base_vehicle_id', ) } ), ( 'Make Year', { 'fields': ( 'make_year_link', 'make_year' ), 'classes': ( 'collapse', ) } ), ( 'Model', { 'fields': ( 'model_link', 'model' ), 'classes': ( 'collapse', ) } ) ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'make_year_link', 'model_link', 'vehicle_count' ) autocomplete_fields = ( 'make_year', 'model' ) inlines = ( SemaBaseVehicleVehiclesTabularInline, ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def make_year_link(self, obj): if not obj or not obj.pk or not obj.make_year: return None return get_change_view_link(obj.make_year, 'See Full Make Year') make_year_link.short_description = '' def model_link(self, obj): if not obj or not obj.pk or not obj.model: return None return get_change_view_link(obj.model, 'See Full Model') model_link.short_description = '' def vehicle_count(self, obj): if not obj or not obj.pk: return None return f'{obj._vehicle_relevant_count}/{obj._vehicle_count}' vehicle_count.admin_order_field = '_vehicle_relevant_count' vehicle_count.short_description = 'vehicle count' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'base_vehicle_id', 'make_year', 'model' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'base_vehicle_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaVehicle) class SemaVehicleModelAdmin(ObjectActions, ModelAdmin, SemaVehicleActions): list_select_related = ( 'base_vehicle', 'submodel' ) actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # TO NOTE: too long # 'import_class_action', # TO NOTE: too long # 'unauthorize_class_action', # TO NOTE: too long # 'sync_class_action' # TO NOTE: too long ) search_fields = ( 'vehicle_id', 'base_vehicle__base_vehicle_id', 'base_vehicle__make_year__year__year', 'base_vehicle__make_year__make__make_id', 'base_vehicle__make_year__make__name', 'base_vehicle__model__model_id', 'base_vehicle__model__name', 'submodel__submodel_id', 'submodel__name' ) list_display = ( 'detail_link', 'vehicle_id', 'base_vehicle', 'submodel', 'engine_count', 'dataset_count', 'product_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaVehicleMayBeRelevant, SemaVehicleByDecade, ('base_vehicle__make_year__make', RelatedOnlyFieldListFilter), ('base_vehicle__model', RelatedOnlyFieldListFilter), ('submodel', RelatedOnlyFieldListFilter) ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Vehicle', { 'fields': ( 'vehicle_id', ) } ), ( 'Base Vehicle', { 'fields': ( 'base_vehicle_link', 'base_vehicle' ), 'classes': ( 'collapse', ) } ), ( 'Submodel', { 'fields': ( 'submodel_link', 'submodel' ), 'classes': ( 'collapse', ) } ) ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'base_vehicle_link', 'submodel_link', 'engine_count', 'dataset_count', 'product_count' ) autocomplete_fields = ( 'base_vehicle', 'submodel' ) inlines = ( # SemaVehicleEnginesTabularInline, # TO NOTE: too long SemaVehicleDatasetsTabularInline, # SemaVehicleProductsTabularInline # TO NOTE: too long ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def base_vehicle_link(self, obj): if not obj or not obj.pk or not obj.base_vehicle: return None return get_change_view_link( obj.base_vehicle, 'See Full Base Vehicle' ) base_vehicle_link.short_description = '' def submodel_link(self, obj): if not obj or not obj.pk or not obj.submodel: return None return get_change_view_link(obj.submodel, 'See Full Submodel') submodel_link.short_description = '' def engine_count(self, obj): if not obj or not obj.pk: return None return f'{obj._engine_relevant_count}/{obj._engine_count}' engine_count.admin_order_field = '_engine_relevant_count' engine_count.short_description = 'engine count' def dataset_count(self, obj): if not obj or not obj.pk: return None return f'{obj._dataset_relevant_count}/{obj._dataset_count}' dataset_count.admin_order_field = '_dataset_relevant_count' dataset_count.short_description = 'dataset count' def product_count(self, obj): if not obj or not obj.pk: return None return f'{obj._product_relevant_count}/{obj._product_count}' product_count.admin_order_field = '_product_relevant_count' product_count.short_description = 'product count' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'vehicle_id', 'base_vehicle', 'submodel' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'vehicle_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaEngine) class SemaEngineModelAdmin(ObjectActions, ModelAdmin, SemaEngineActions): list_select_related = ( 'vehicle', ) actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) changelist_actions = ( 'import_new_class_action', # TO NOTE: too long # 'import_class_action', # TO NOTE: too long # 'unauthorize_class_action', # TO NOTE: too long # 'sync_class_action' # TO NOTE: too long ) search_fields = ( 'id', 'vehicle__vehicle_id', 'vehicle__base_vehicle__base_vehicle_id', 'vehicle__base_vehicle__make_year__year__year', 'vehicle__base_vehicle__make_year__make__make_id', 'vehicle__base_vehicle__make_year__make__name', 'vehicle__base_vehicle__model__model_id', 'vehicle__base_vehicle__model__name', 'vehicle__submodel__submodel_id', 'vehicle__submodel__name' ) list_display = ( 'detail_link', 'id', 'vehicle', 'litre', 'block_type', 'cylinders', 'cylinder_head_type', 'fuel_type', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaEngineMayBeRelevant, 'fuel_type', 'manufacturer', 'litre', 'block_type', 'cylinders', 'valves_per_engine', 'cylinder_head_type', 'ignition_system_type', SemaEngineByDecade, ('vehicle__base_vehicle__make_year__make', RelatedOnlyFieldListFilter), ('vehicle__base_vehicle__model', RelatedOnlyFieldListFilter), ('vehicle__submodel', RelatedOnlyFieldListFilter) ) fieldsets = ( ( None, { 'fields': ( 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception', 'id' ) } ), ( 'Vehicle', { 'fields': ( 'vehicle_link', 'vehicle' ), 'classes': ( 'collapse', ) } ), ( 'Engine', { 'fields': ( 'litre', 'cc', 'cid', 'cylinders', 'block_type', 'engine_bore_in', 'engine_bore_metric', 'engine_stroke_in', 'engine_stroke_metric', 'valves_per_engine', 'aspiration', 'cylinder_head_type', 'fuel_type', 'ignition_system_type', 'manufacturer', 'horse_power', 'kilowatt_power', 'engine_designation' ) } ) ) readonly_fields = ( 'id', 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'vehicle_link' ) autocomplete_fields = ( 'vehicle', ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def vehicle_link(self, obj): if not obj or not obj.pk or not obj.vehicle: return None return get_change_view_link( obj.vehicle, 'See Full Vehicle' ) vehicle_link.short_description = '' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'vehicle', 'litre', 'cc', 'cid', 'cylinders', 'block_type', 'engine_bore_in', 'engine_bore_metric', 'engine_stroke_in', 'engine_stroke_metric', 'valves_per_engine', 'aspiration', 'cylinder_head_type', 'fuel_type', 'ignition_system_type', 'manufacturer', 'horse_power', 'kilowatt_power', 'engine_designation' ) } ), ) return super().get_fieldsets(request, obj) def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaCategory) class SemaCategoryModelAdmin(ObjectActions, ModelAdmin, SemaCategoryActions): actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action', 'update_category_products_queryset_action' ) changelist_actions = ( # 'import_new_class_action', # TO NOTE: does not add m2m 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) change_actions = ( 'update_category_products_object_action', ) search_fields = ( 'category_id', 'name' ) list_display = ( 'detail_link', 'category_id', 'name', 'level', 'parent_category_count', 'child_category_count', 'dataset_count', 'product_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaCategoryMayBeRelevant, ByCategoryLevel, HasCategoryPath, HasShopifyCollection ) fieldsets = ( ( None, { 'fields': ( 'category_paths_link', 'shopify_collections_link', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Category', { 'fields': ( 'category_id', 'name', 'level' ) } ) ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'level', 'detail_link', 'category_paths_link', 'shopify_collections_link', 'parent_category_count', 'child_category_count', 'dataset_count', 'product_count' ) inlines = ( SemaCategoryParentCategoriesTabularInline, SemaCategoryChildCategoriesTabularInline, SemaCategoryDatasetsTabularInline, SemaCategoryProductsTabularInline ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def category_paths_link(self, obj): if not obj or not obj.pk: return None if obj.level == '1': category_path_model = obj.root_category_paths.first()._meta.model query = f'sema_root_category={obj.pk}' elif obj.level == '2': category_path_model = obj.branch_category_paths.first()._meta.model query = f'sema_branch_category={obj.pk}' else: category_path_model = obj.leaf_category_paths.first()._meta.model query = f'sema_leaf_category={obj.pk}' return get_changelist_view_link( category_path_model, 'See Category Paths', query=query ) category_paths_link.short_description = '' def shopify_collections_link(self, obj): if not obj or not obj.pk: return None if obj.level == '1': o = obj.root_category_paths.first().shopify_root_collection elif obj.level == '2': o = obj.branch_category_paths.first().shopify_branch_collection else: o = obj.leaf_category_paths.first().shopify_leaf_collection return get_change_view_link( o, 'See Shopify Collection' ) shopify_collections_link.short_description = '' def parent_category_count(self, obj): if not obj or not obj.pk: return None return ( f'{obj._parent_category_relevant_count}' f'/{obj._parent_category_count}' ) parent_category_count.admin_order_field = '_parent_category_relevant_count' parent_category_count.short_description = 'parent count' def child_category_count(self, obj): if not obj or not obj.pk: return None return ( f'{obj._child_category_relevant_count}' f'/{obj._child_category_count}' ) child_category_count.admin_order_field = '_child_category_relevant_count' child_category_count.short_description = 'child count' def dataset_count(self, obj): if not obj or not obj.pk: return None return f'{obj._dataset_relevant_count}/{obj._dataset_count}' dataset_count.admin_order_field = '_dataset_relevant_count' dataset_count.short_description = 'dataset count' def product_count(self, obj): if not obj or not obj.pk: return None return f'{obj._product_relevant_count}/{obj._product_count}' product_count.admin_order_field = '_product_relevant_count' product_count.short_description = 'product count' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_queryset(self, request): return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'category_id', 'name', 'parent_categories' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'category_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) @admin.register(SemaProduct) class SemaProductModelAdmin(ObjectActions, ModelAdmin, SemaProductActions): list_select_related = ( 'dataset', ) actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action', 'update_html_queryset_action', 'update_product_vehicles_queryset_action', 'update_description_pies_queryset_action', 'update_digital_assets_pies_queryset_action' ) changelist_actions = ( 'import_new_class_action', # 'import_class_action', # 'unauthorize_class_action', # 'sync_class_action' ) change_actions = ( 'update_html_object_action', 'update_product_vehicles_object_action', 'update_description_pies_object_action', 'update_digital_assets_pies_object_action' ) search_fields = ( 'product_id', 'part_number', 'dataset__dataset_id', 'dataset__name', 'dataset__brand__brand_id', 'dataset__brand__name' ) list_display = ( 'detail_link', 'product_id', 'part_number', 'dataset', 'description_pies_attribute_count', 'digital_assets_pies_attribute_count', 'category_count', 'vehicle_count', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant', SemaProductMayBeRelevant, ('dataset__brand', RelatedOnlyFieldListFilter), HasItem, HasPremierProduct, HasShopifyProduct, HasCategory, HasVehicle, HasHtml ) fieldsets = ( ( None, { 'fields': ( 'item_link', 'premier_product_link', 'shopify_product_link', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Dataset', { 'fields': ( 'dataset_link', 'dataset' ), 'classes': ( 'collapse', ) } ), ( 'Product', { 'fields': ( 'product_id', 'part_number' ) } ), ( 'HTML', { 'fields': ( 'html', ), 'classes': ( 'collapse', ) } ), ( None, { 'fields': ( 'html_preview', ) } ) ) autocomplete_fields = ( 'dataset', ) readonly_fields = ( 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'html_preview', 'detail_link', 'dataset_link', 'item_link', 'premier_product_link', 'shopify_product_link', 'description_pies_attribute_count', 'digital_assets_pies_attribute_count', 'category_count', 'vehicle_count' ) inlines = ( SemaProductDescriptionPiesAttributeTabularInline, SemaProductDigitalAssetsPiesAttributeTabularInline, SemaProductCategoriesTabularInline, SemaProductVehiclesTabularInline ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def item_link(self, obj): if not obj or not obj.pk or not hasattr(obj, 'item'): return None return get_change_view_link(obj.item, 'See Item') item_link.short_description = '' def premier_product_link(self, obj): if (not obj or not obj.pk or not hasattr(obj, 'item') or not obj.item.premier_product): return None return get_change_view_link( obj.item.premier_product, 'See Premier Product', ) premier_product_link.short_description = '' def shopify_product_link(self, obj): if (not obj or not obj.pk or not hasattr(obj, 'item') or not obj.item.shopify_product): return None return get_change_view_link( obj.item.shopify_product, 'See Shopify Product', ) shopify_product_link.short_description = '' def dataset_link(self, obj): if not obj or not obj.pk or not obj.dataset: return None return get_change_view_link(obj.dataset, 'See Full Dataset') dataset_link.short_description = '' def description_pies_attribute_count(self, obj): if not obj or not obj.pk: return None return obj.description_pies_attribute_count # description_pies_attribute_count.admin_order_field = ( # '_description_pies_attribute_count' # ) description_pies_attribute_count.short_description = 'description count' def digital_assets_pies_attribute_count(self, obj): if not obj or not obj.pk: return None return obj.digital_assets_pies_attribute_count # digital_assets_pies_attribute_count.admin_order_field = ( # '_digital_assets_pies_attribute_count' # ) digital_assets_pies_attribute_count.short_description = ( 'digital assets count' ) def category_count(self, obj): if not obj or not obj.pk: return None return f'{obj.category_relevant_count}/{obj.category_count}' # category_count.admin_order_field = '_category_relevant_count' category_count.short_description = 'category count' def vehicle_count(self, obj): if not obj or not obj.pk: return None return f'{obj.vehicle_relevant_count}/{obj.vehicle_count}' # vehicle_count.admin_order_field = '_vehicle_relevant_count' vehicle_count.short_description = 'vehicle count' def html_preview(self, obj): if not obj or not obj.pk: return None return get_html_preview(obj.clean_html) html_preview.short_description = '' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' # def get_queryset(self, request): # FIXME # return super().get_queryset(request).with_admin_data() def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'product_id', 'part_number', 'dataset', 'html', 'categories', 'vehicles' ) } ), ) return super().get_fieldsets(request, obj) def get_readonly_fields(self, request, obj=None): readonly_fields = super().get_readonly_fields(request, obj) if obj and not request.user.is_superuser: readonly_fields += ( 'product_id', ) return readonly_fields def get_inline_instances(self, request, obj=None): if not obj: return [] return super().get_inline_instances(request, obj) class SemaPiesAttributeBaseModelAdmin(ModelAdmin): list_select_related = ( 'product', ) actions = ( 'mark_as_relevant_queryset_action', 'mark_as_irrelevant_queryset_action' ) search_fields = ( 'id', 'segment', 'value', 'product__product_id', 'product__part_number', 'product__dataset__dataset_id', 'product__dataset__name', 'product__dataset__brand__brand_id', 'product__dataset__brand__name' ) list_display = ( 'detail_link', 'id', 'product', 'segment', 'value', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) list_display_links = ( 'detail_link', ) list_editable = ( 'is_relevant', 'relevancy_exception' ) list_filter = ( 'is_authorized', 'is_relevant' ) fieldsets = ( ( None, { 'fields': ( 'id', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Product', { 'fields': ( 'product_link', 'product' ), 'classes': ( 'collapse', ) } ), ( 'PIES Attribute', { 'fields': ( 'segment', 'value' ) } ) ) autocomplete_fields = ( 'product', ) readonly_fields = ( 'id', 'relevancy_warnings', 'relevancy_errors', 'may_be_relevant_flag', 'detail_link', 'product_link' ) def detail_link(self, obj): if not obj or not obj.pk: return None return get_change_view_link(obj, 'Details') detail_link.short_description = '' def product_link(self, obj): if not obj or not obj.pk or not obj.product: return None return get_change_view_link(obj.product, 'See Full Product') product_link.short_description = '' def may_be_relevant_flag(self, obj): if not obj or not obj.pk: return None if obj.is_relevant != obj.may_be_relevant: return '~' else: return '' may_be_relevant_flag.short_description = '' def get_fieldsets(self, request, obj=None): if not obj: return ( ( None, { 'fields': ( 'segment', 'value' ) } ), ) return super().get_fieldsets(request, obj) @admin.register(SemaDescriptionPiesAttribute) class SemaDescriptionPiesAttributeModelAdmin(ObjectActions, SemaPiesAttributeBaseModelAdmin, SemaDescriptionPiesAttributeActions): def get_list_filter(self, request): return super().get_list_filter(request) + ( SemaDescriptionPiesAttributeMayBeRelevant, ) @admin.register(SemaDigitalAssetsPiesAttribute) class SemaSemaDigitalAssetsPiesAttributeModelAdmin(ObjectActions, SemaPiesAttributeBaseModelAdmin, SemaDigitalAssetsPiesAttributeActions): fieldsets = ( ( None, { 'fields': ( 'id', 'is_authorized', 'may_be_relevant_flag', 'is_relevant', 'relevancy_warnings', 'relevancy_errors', 'relevancy_exception' ) } ), ( 'Product', { 'fields': ( 'product_link', 'product' ), 'classes': ( 'collapse', ) } ), ( 'PIES Attribute', { 'fields': ( 'segment', ('value', 'image_preview') ) } ) ) def image_preview(self, obj): if not obj or not obj.pk or not obj.value: return None try: return get_image_preview(obj.value) except Exception as err: return str(err) image_preview.short_description = '' def get_actions(self, request): self.actions = self.actions + ( 'update_relevancy_queryset_action', ) return super().get_actions(request) def get_list_display(self, request): return super().get_list_display(request) + ( 'image_preview', ) def get_list_filter(self, request): return super().get_list_filter(request) + ( SemaDigitalAssetsPiesAttributeMayBeRelevant, ) def get_change_actions(self, request, object_id, form_url): self.change_actions = self.change_actions + ( 'update_relevancy_object_action', ) return super().get_change_actions(request, object_id, form_url) def get_readonly_fields(self, request, obj=None): return super().get_readonly_fields(request, obj) + ( 'image_preview', )
"""Create the Flask app""" from flask import Flask, Request, abort, jsonify, make_response from denseedia.config import CONFIG from denseedia.routes import register_routes app = Flask(__name__) @app.errorhandler(404) def on_route_not_found(error): """Override the HTML 404 default.""" content = {"msg": "Page not found"} return jsonify(content), 404 @app.errorhandler(405) def on_method_not_allowed(error): """Override the HTML 405 default.""" content = {"msg": "Method not allowed"} return jsonify(content), 405 def on_json_loading_failed(req, error): """Abort with a custom JSON message.""" content = {"msg": "JSON not valid", "error": error.args[0]} abort(make_response(jsonify(content), 400)) Request.on_json_loading_failed = on_json_loading_failed @app.after_request def fix_cors(response): """Allow the React App to access the API.""" response.headers["Access-Control-Allow-Origin"] = "http://localhost:59131" return response register_routes(app) def run_server(): flask_config = CONFIG["flask"] app.run(debug=flask_config["debug"], port=flask_config["port"])
# -*- coding:utf-8 -*- # Author: hankcs # Date: 2020-12-22 13:16 from hanlp_common.constant import HANLP_URL OPEN_TOK_POS_NER_SRL_DEP_SDP_CON_ELECTRA_SMALL_ZH = HANLP_URL + 'mtl/open_tok_pos_ner_srl_dep_sdp_con_electra_small_20201223_035557.zip' "Electra (:cite:`clark2020electra`) small version of joint tok, pos, ner, srl, dep, sdp and con model trained on open-source Chinese corpus." OPEN_TOK_POS_NER_SRL_DEP_SDP_CON_ELECTRA_BASE_ZH = HANLP_URL + 'mtl/open_tok_pos_ner_srl_dep_sdp_con_electra_base_20201223_201906.zip' "Electra (:cite:`clark2020electra`) base version of joint tok, pos, ner, srl, dep, sdp and con model trained on open-source Chinese corpus." CLOSE_TOK_POS_NER_SRL_DEP_SDP_CON_ELECTRA_SMALL_ZH = HANLP_URL + 'mtl/close_tok_pos_ner_srl_dep_sdp_con_electra_small_20210111_124159.zip' "Electra (:cite:`clark2020electra`) small version of joint tok, pos, ner, srl, dep, sdp and con model trained on close-source Chinese corpus." CLOSE_TOK_POS_NER_SRL_DEP_SDP_CON_ELECTRA_BASE_ZH = HANLP_URL + 'mtl/close_tok_pos_ner_srl_dep_sdp_con_electra_base_20210111_124519.zip' "Electra (:cite:`clark2020electra`) base version of joint tok, pos, ner, srl, dep, sdp and con model trained on close-source Chinese corpus." CLOSE_TOK_POS_NER_SRL_DEP_SDP_CON_ERNIE_GRAM_ZH = HANLP_URL + 'mtl/close_tok_pos_ner_srl_dep_sdp_con_ernie_gram_base_aug_20210904_145403.zip' "ERNIE (:cite:`xiao-etal-2021-ernie`) base version of joint tok, pos, ner, srl, dep, sdp and con model trained on close-source Chinese corpus." UD_ONTONOTES_TOK_POS_LEM_FEA_NER_SRL_DEP_SDP_CON_MT5_SMALL = HANLP_URL + 'mtl/ud_ontonotes_tok_pos_lem_fea_ner_srl_dep_sdp_con_mt5_small_20210228_123458.zip' 'mT5 (:cite:`xue-etal-2021-mt5`) small version of joint tok, pos, lem, fea, ner, srl, dep, sdp and con model trained on UD and OntoNotes5 corpus.' UD_ONTONOTES_TOK_POS_LEM_FEA_NER_SRL_DEP_SDP_CON_XLMR_BASE = HANLP_URL + 'mtl/ud_ontonotes_tok_pos_lem_fea_ner_srl_dep_sdp_con_xlm_base_20220608_003435.zip' ''' XLM-R (:cite:`conneau-etal-2020-unsupervised`) base version of joint tok, pos, lem, fea, ner, srl, dep, sdp and con model trained on UD 2.10 and OntoNotes5 corpus. The following 130 languages are supported: ``Afrikaans, Akkadian, Akuntsu, Albanian, Amharic, AncientGreek (to 1453), Ancient Hebrew, Apurinã, Arabic, Armenian, AssyrianNeo-Aramaic, Bambara, Basque, Beja, Belarusian, Bengali, Bhojpuri, Breton, Bulgarian, Catalan, Cebuano, Central Siberian Yupik, Chinese, Chukot, ChurchSlavic, Coptic, Croatian, Czech, Danish, Dutch, Emerillon, English, Erzya, Estonian, Faroese, Finnish, French, Galician, German, Gothic, Guajajára, Guarani, Hebrew, Hindi, Hittite, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, K\'iche\', Kangri, Karelian, Karo(Brazil), Kazakh, Khunsari, Komi-Permyak, Komi-Zyrian, Korean, Latin, Latvian, Ligurian, LiteraryChinese, Lithuanian, Livvi, LowGerman, Madi, Makuráp, Maltese, Manx, Marathi, MbyáGuaraní, Modern Greek (1453-), Moksha, Mundurukú, Nayini, Neapolitan, Nigerian Pidgin, NorthernKurdish, Northern Sami, Norwegian, OldFrench (842-ca. 1400), OldRussian, Old Turkish, Persian, Polish, Portuguese, Romanian, Russia Buriat, Russian, Sanskrit, ScottishGaelic, Serbian, SkoltSami, Slovak, Slovenian, Soi, South Levantine Arabic, Spanish, Swedish, SwedishSign Language, SwissGerman, Tagalog, Tamil, Tatar, Telugu, Thai, Tupinambá, Turkish, Uighur, Ukrainian, Umbrian, UpperSorbian, Urdu, Urubú-Kaapor, Vietnamese, Warlpiri, Welsh, Western Armenian, WesternFrisian, Wolof, Xibe, Yakut, Yoruba, YueChinese``. Performance: ``{con UCM: 20.31% LCM: 16.82% UP: 77.50% UR: 76.63% UF: 77.06% LP: 71.25% LR: 70.46% LF: 70.85%}{ner P: 79.93% R: 80.76% F1: 80.34%}{sdp/dm UF: 93.71% LF: 93.00%}{sdp/pas UF: 97.63% LF: 96.37%}{sdp/psd UF: 93.08% LF: 80.95%}{srl [predicate P: 90.95% R: 84.25% F1: 87.47%][e2e P: 78.89% R: 67.32% F1: 72.65%]}{tok P: 98.50% R: 98.70% F1: 98.60%}{ud [lemmas Accuracy:85.95%][upos Accuracy:89.95%][deps UAS: 85.78% LAS: 78.51%][feats Accuracy:82.18%]}``. ''' NPCMJ_UD_KYOTO_TOK_POS_CON_BERT_BASE_CHAR_JA = HANLP_URL + 'mtl/npcmj_ud_kyoto_tok_pos_ner_dep_con_srl_bert_base_char_ja_20210914_133742.zip' 'BERT (:cite:`devlin-etal-2019-bert`) base char encoder trained on NPCMJ/UD/Kyoto corpora with decoders including tok, pos, ner, dep, con, srl.' # Will be filled up during runtime ALL = {}
"""Common code for the omics ingest.""" import base64 from contextlib import contextmanager import datetime import os import os.path import pathlib import subprocess # nosec import tempfile import typing import dateutil.parser from irods_capability_automated_ingest.sync_irods import irods_session from irods.meta import iRODSMeta from .settings import ( RODEOS_HASHDEEP_ALGO as HASHDEEP_ALGO, RODEOS_HASHDEEP_THREADS as HASHDEEP_THREADS, RODEOS_MANIFEST_LOCAL as MANIFEST_LOCAL, RODEOS_MANIFEST_IRODS as MANIFEST_IRODS, RODEOS_MOVE_AFTER_INGEST as _MOVE_AFTER_INGEST, ) #: AVU key to use for ``last_update`` attribute. KEY_LAST_UPDATE = "rodeos::ingest::last_update" #: AVU key to use destionation run folder ingestion status. KEY_STATUS = "rodeos::ingest::status" #: AVU key to use for ``first_seen`` attribute. KEY_FIRST_SEEN = "rodeos::ingest::first_seen" #: AVU key for manifest status KEY_MANIFEST_STATUS = "rodeos::ingest::manifest_status" #: AVU key with manifest detailed message KEY_MANIFEST_MESSAGE = "rodeos::ingest::manifest_message" MOVE_AFTER_INGEST = _MOVE_AFTER_INGEST @contextmanager def cleanuping(thing): try: yield thing finally: thing.cleanup() def to_ingested_path(orig_path: typing.Union[str, pathlib.Path]) -> pathlib.Path: """Convert a run folder path to an "ingested" path.""" orig_path = pathlib.Path(orig_path) ingested_base = orig_path.parent.parent / (orig_path.parent.name + "-INGESTED") return ingested_base / orig_path.name def _compare_manifests(path_local, path_irods, logger): """Compare manifests at paths ``path_local`` and ``path_irods``.""" # Load file sizes and checksums. info_local = {} with open(path_local, "rt") as inputf: for line in inputf: if line.startswith("#") or line.startswith("%"): continue line = line.strip() size, chksum, path = line.split(",", 2) info_local[path] = (size, chksum) info_irods = {} with open(path_irods, "rt") as inputf: for line in inputf: line = line.strip() size, chksum, path = line.split(",", 2) if chksum.startswith("sha2:"): chksum = base64.b64decode(chksum[5:]).hex() info_irods[path] = (size, chksum) # Compare file sizes and checksums. problem = None for path in sorted(info_local.keys() & info_irods.keys()): size_local, chksum_local = info_local[path] size_irods, chksum_irods = info_irods[path] if size_local != size_irods: problem = "file size mismatch %s vs %s for %s" % (size_local, size_irods, path) logger.error( "file size does not match %s vs %s for %s" % (size_local, size_irods, path) ) if chksum_local != chksum_irods: problem = "file checksum mismatch %s vs %s for %s" % (chksum_local, chksum_irods, path) logger.error( "file checksum does not match %s vs %s for %s" % (chksum_local, chksum_irods, path) ) # Find extra items on either side. extra_local = info_local.keys() - info_irods.keys() if sorted(extra_local): problem = "extra file in local: %s" % list(sorted(extra_local))[0] logger.error( "%d items locally that are not in irods, up to 10 shown:\n %s" % (len(extra_local), " \n".join(list(sorted(extra_local))[:10])) ) extra_irods = info_irods.keys() - info_local.keys() if sorted(extra_irods): problem = "extra file in irods : %s" % list(sorted(extra_irods))[0] logger.error( "%d items in irods that are not present locally, up to 10 shown:\n %s" % (len(extra_irods), " \n".join(list(sorted(extra_irods))[:10])) ) if problem: raise RuntimeError("Difference in manifests: %s" % problem) def _post_job_run_folder_done( logger, session, src_folder, dst_collection, is_folder_done: typing.Callable[[typing.Union[pathlib.Path, str]], bool], delay_until_at_rest, ): """Handle run folder being done: - Move into ingested folder on source. - Update status meta data in destination collection. """ src_folder = pathlib.Path(src_folder) # Get "last updated" time from meta data. last_update = None for meta in dst_collection.metadata.get_all(KEY_LAST_UPDATE): value = dateutil.parser.parse(meta.value) if last_update is None or value > last_update: last_update = value now = datetime.datetime.now() last_update_age = now - (last_update or now) # Do not proceed if not marked as done. if not is_folder_done(src_folder): # pragma: no cover logger.info("folder %s is not marked as done" % src_folder) return # Compute and check manifest and move if data is considered at rest. if last_update_age >= delay_until_at_rest: logger.info( "age of last update of %s is %s (<%s) -- will finalize (manifest+move)" % (dst_collection.path, last_update_age, delay_until_at_rest) ) run_ichksum(dst_collection.path, recurse=True) local_path = compute_local_manifest(logger, src_folder) irods_path = compute_irods_manifest(dst_collection, logger, src_folder) # Compare the manifest files. try: _compare_manifests(local_path, irods_path, logger) except RuntimeError as e: # pragma: no cover dst_collection.metadata[KEY_MANIFEST_STATUS] = iRODSMeta( KEY_MANIFEST_STATUS, "failed", "" ) dst_collection.metadata[KEY_MANIFEST_MESSAGE] = iRODSMeta( KEY_MANIFEST_MESSAGE, str(e), "" ) raise else: dst_collection.metadata[KEY_MANIFEST_STATUS] = iRODSMeta( KEY_MANIFEST_STATUS, "success", "" ) dst_collection.metadata[KEY_MANIFEST_MESSAGE] = iRODSMeta( KEY_MANIFEST_MESSAGE, "all good", "" ) # Put local hashdeep manifest. local_manifest_dest = os.path.join(dst_collection.path, MANIFEST_LOCAL) session.data_objects.put(local_path, local_manifest_dest) run_ichksum(local_manifest_dest) # Put manifest built from irods. irods_manifest_dest = os.path.join(dst_collection.path, MANIFEST_IRODS) session.data_objects.put(irods_path, irods_manifest_dest) run_ichksum(irods_manifest_dest) # Move folder. if MOVE_AFTER_INGEST: new_src_folder = to_ingested_path(src_folder) logger.info("attempting move %s => %s" % (src_folder, new_src_folder)) try: new_src_folder.parent.mkdir(exist_ok=True) src_folder.rename(new_src_folder) except OSError as e: # pragma: no cover logger.error("could not move to ingested: %s" % e) else: logger.info("configured to not move %s" % src_folder) # Update ``status`` meta data. dst_collection.metadata[KEY_STATUS] = iRODSMeta(KEY_STATUS, "complete", "") else: logger.info( "age of last update of %s is %s (<%s) -- not moving to ingested" % (dst_collection.path, last_update_age, delay_until_at_rest) ) def compute_irods_manifest(dst_collection, logger, src_folder): """Compute manifest from irods checksums.""" logger.info("pull irods checksums into manifest") irods_path = os.path.join(src_folder, MANIFEST_IRODS) try: with tempfile.TemporaryFile("w+t") as tmp_f: # Obtain information for files directly in destination collection. cmd = [ "iquest", "%d,%s,%s/%s", ( "SELECT DATA_SIZE, DATA_CHECKSUM, COLL_NAME, DATA_NAME " "WHERE COLL_NAME = '%s' AND DATA_NAME != '%s' AND DATA_NAME != '%s'" ) % (dst_collection.path, MANIFEST_LOCAL, MANIFEST_IRODS), ] subprocess.run(cmd, stdout=tmp_f, encoding="utf-8", check=True) # nosec # Obtain information for files destination subcollections. cmd_sub = [ "iquest", "%d,%s,%s/%s", ( "SELECT DATA_SIZE, DATA_CHECKSUM, COLL_NAME, DATA_NAME " "WHERE COLL_NAME like '%s/%%'" ) % dst_collection.path, ] subprocess.run(cmd_sub, stdout=tmp_f, encoding="utf-8", check=True) # nosec # Copy to final output file. tmp_f.flush() tmp_f.seek(0) with open(irods_path, "wt") as chk_f: for line in tmp_f: line = line.strip() if line.startswith("CAT_NO_ROWS_FOUND"): continue size, chksum, path = line.split(",", 2) path = ".%s" % path[len(dst_collection.path) :] print(",".join([size, chksum, path]), file=chk_f) except subprocess.CalledProcessError as e: # pragma: no cover logger.warn("Creation of iRODS manifest failed, aborting: %s" % e) os.remove(irods_path) raise return irods_path def compute_local_manifest(logger, src_folder): """Compute local hashdeep manifest.""" local_path = os.path.join(src_folder, MANIFEST_LOCAL) logger.info("compute checksums and store to %s" % local_path) try: with open(local_path, "wt") as chk_f: cmd_find = [ "find", ".", "-type", "f", "-and", "-not", "-path", "./%s" % MANIFEST_LOCAL, "-and", "-not", "-path", "./%s" % MANIFEST_IRODS, ] p_find = subprocess.Popen(cmd_find, cwd=src_folder, stdout=subprocess.PIPE,) # nosec subprocess.run( # nosec ["hashdeep", "-c", HASHDEEP_ALGO, "-f", "/dev/stdin", "-j", str(HASHDEEP_THREADS),], cwd=src_folder, stdin=p_find.stdout, stdout=chk_f, encoding="utf-8", check=True, ) if p_find.wait() != 0: # pragma: no cover raise subprocess.CalledProcessError( cmd_find, "Problem running find: %s" % p_find.returncode ) except subprocess.CalledProcessError as e: # pragma: no cover logger.warn("Computing checksums failed, aborting: %s" % e) os.remove(local_path) raise return local_path def pre_job(hdlr_mod, logger, meta): """Set the ``first_seen`` meta data value.""" src_root = pathlib.Path(meta["root"]) with cleanuping(irods_session(hdlr_mod=hdlr_mod, meta=meta, logger=logger)) as session: dst_root = session.collections.get(meta["target"]) dst_collections = {c.name: c for c in dst_root.subcollections} for src_folder in sorted([f.name for f in sorted(src_root.iterdir())]): if src_folder in dst_collections: coll = dst_collections[src_folder] if not coll.metadata.get_all(KEY_FIRST_SEEN): coll.metadata[KEY_FIRST_SEEN] = iRODSMeta( KEY_FIRST_SEEN, datetime.datetime.now().isoformat(), "" ) else: logger.info("Skipping %s as it corresponds to no destination collection") def post_job( hdlr_mod, logger, meta, is_folder_done: typing.Callable[[typing.Union[pathlib.Path, str]], bool], delay_until_at_rest, ): """Move completed run folders into the "ingested" area.""" src_root = pathlib.Path(meta["root"]) with cleanuping(irods_session(hdlr_mod=hdlr_mod, meta=meta, logger=logger)) as session: dst_root = session.collections.get(meta["target"]) dst_collections = {c.name: c for c in dst_root.subcollections} for src_folder in sorted([f.name for f in sorted(src_root.iterdir())]): if src_folder in dst_collections: _post_job_run_folder_done( logger, session, src_root / src_folder, dst_collections[src_folder], is_folder_done, delay_until_at_rest, ) else: logger.info("Skipping %s as it corresponds to no destination collection") def refresh_last_update_metadata(logger, session, meta): """Update the ``last_update`` and ``status`` meta data value.""" _ = logger # Get path in irods that corresponds to root and update the meta data there. path = pathlib.Path(meta["path"]) root = pathlib.Path(meta["root"]) target = pathlib.Path(meta["target"]) logger.info("meta = %s" % meta) print("meta = %s" % meta) rel_root_path = path.relative_to(root) # relative to root print("... %s" % rel_root_path) rel_folder_path = "/".join(str(rel_root_path).split("/")[1:]) # relative to run folder print("... %s" % rel_folder_path) root_target = str(target)[: -(len(str(rel_folder_path)) + 1)] print("... %s" % root_target) with cleanuping(session) as wrapped_session: coll = wrapped_session.collections.get(root_target) # Replace ``last_update`` and ``status`` meta data. coll.metadata[KEY_LAST_UPDATE] = iRODSMeta( KEY_LAST_UPDATE, datetime.datetime.now().isoformat(), "" ) coll.metadata[KEY_STATUS] = iRODSMeta(KEY_STATUS, "running", "") def run_ichksum(irods_path: str, recurse: bool = False) -> None: """Run ``ichksum $irods_path``.""" args = ["ichksum", irods_path] if recurse: args.insert(1, "-r") subprocess.run(args, check=True)
from src.feature_extractor.interface import IBoWFeatureExtractor, IW2VFeatureExtractor from src.feature_extractor.impl import ( TFIDFFeatureExtractor, CountFeatureExtractor, FastTextFeatureExtractor, BERTFeatureExtractor, RobertaFeatureExtractor, )
from flask import Flask, request, jsonify from flask_restful import Resource, Api app = Flask(__name__) api = Api(app) def bubbleSort(arr): n = len(arr) # Traverse through all array elements for i in range(n): # Last i elements are already in place for j in range(0, n-i-1): # traverse the array from 0 to n-i-1 # Swap if the element found is greater # than the next element if arr[j] > arr[j+1] : arr[j], arr[j+1] = arr[j+1], arr[j] return arr class BubbleSort(Resource): def post(self): args = [int(i) for i in str(request.data,'utf-8').split(",")] result = bubbleSort(args) return result api.add_resource(BubbleSort, '/') if __name__ == '__main__': app.run(host='0.0.0.0', port="8081")
# -*- coding: utf-8 -*- from numpy import pi def comp_torque(self, out_dict, N0): """Compute the electrical average torque Parameters ---------- self : Electrical an Electrical object out_dict : dict Dict containing all magnetic quantities that have been calculated in comp_parameters of EEC """ omega = 2 * pi * N0 / 60 P = out_dict["Pem_av_ref"] Tem_av_ref = (P - out_dict["Pj_losses"]) / omega out_dict["Tem_av_ref"] = Tem_av_ref return out_dict
# __author__ = "Mio" # __email__: "liurusi.101@gmail.com" # created: 5/20/21 4:55 PM from pathlib import Path from docx import Document Path('docx').mkdir(exist_ok=True) for file in Path('output_docx').glob('*.docx'): doc = Document(file) for i in doc.paragraphs: # print(i.text) cn_index = i.text.find('化学品中文名') en_index = i.text.find('化学品英文名') if cn_index >= 0: cn_name = i.text[cn_index:].split(' ')[0].split(': ')[1] # if en_index >= 0: # ene_name = i.text[en_index:].split(' ')[0].split(': ')[1] for t in doc.tables: if t.rows[0].cells[0].text == '组分': en_name = t.rows[1].cells[0].text cas_no = t.rows[1].cells[2].text print(cn_name, en_name, cas_no) name = f'{file.stem}__{en_name}__{cas_no}{file.suffix}' doc.save(Path('docx') / name) # for i in doc.paragraphs: # print(i.text) # if i.text.lower().find('xixisys') >= 0: # i.text = i.text.replace("XiXisys.com 免费提供,仅供参考。", " ") # i.text = i.text.replace(" 如有疑问,请联系 sds@xixisys.com 咨询。", " ") # for i in doc.paragraphs: # # print(i.text) # cn_index = i.text.find('化学品中文名') # en_index = i.text.find('化学品英文名') # if cn_index >= 0: # cn_name = i.text[cn_index:].split(' ')[0].split(': ')[1] # if en_index >= 0: # ene_name = i.text[en_index:].split(' ')[0].split(': ')[1] # break # doc.save(f"{Path('output_docx')/file.stem}.docx") # doc = Document('乙二胺四乙酸.docx') # for i in doc.paragraphs: # cn_index = i.text.find('化学品中文名') # en_index = i.text.find('化学品英文名') # if cn_index >= 0: # print(i.text[cn_index:].split(' ')[0].split(': ')[1]) # if en_index >= 0: # print(i.text[en_index:].split(' ')[0].split(': ')[1])
import builtins from unittest import TestCase import mock from engine.game import InputHandler from engine.game.BattleEngine import BattleEngine from engine.pkmn.types.ClassicTypesRuleSet import ClassicTypesRuleSet from models.game.battle.BattleGameState import BattleGameState from models.game.trainer.PokemonTrainer import PokemonTrainer from models.game.trainer.utils.ArenaBadge import ArenaBadge from models.pkmn.PokemonModel import PokemonModel from models.pkmn.moves.PokemonMove import PokemonMove, MoveCategory from models.pkmn.natures.PokemonNature import PokemonNature from models.pkmn.stats.StatsDict import StatsDict from models.pkmn.types.PokemonType import PokemonType class TestBattleEngine(TestCase): def setUp(self) -> None: self.Pikachu = PokemonModel( name="Pikachu", types=(PokemonType.Electric, None), level=100, nature=PokemonNature.Jolly, moves=[ PokemonMove( name="Volt Tackle", move_type=PokemonType.Electric, category=MoveCategory.Physical, pp=24, power=120 ), PokemonMove( name="Iron Tail", move_type=PokemonType.Steel, category=MoveCategory.Physical, pp=24, power=100, accuracy=75 ), PokemonMove( name="Thunderbolt", move_type=PokemonType.Electric, category=MoveCategory.Special, pp=24, power=90 ) ], base_stats=StatsDict(hp=35, atk=55, phys_def=40, spe_atk=50, spe_def=50, spd=90), evs=StatsDict(hp=0, atk=252, phys_def=0, spe_atk=4, spe_def=0, spd=252), ivs=StatsDict(hp=31, atk=31, phys_def=31, spe_atk=31, spe_def=31, spd=31) ) self.Pidgeot = PokemonModel( name="Pidgeot", types=(PokemonType.Flying, PokemonType.Normal), level=100, nature=PokemonNature.Jolly, moves=[ PokemonMove( name="Double Edge", move_type=PokemonType.Normal, category=MoveCategory.Physical, pp=24, power=120 ), PokemonMove( name="Brave Bird", move_type=PokemonType.Flying, category=MoveCategory.Physical, pp=24, power=120 ) ], base_stats=StatsDict(hp=83, atk=80, phys_def=75, spe_atk=70, spe_def=70, spd=101), evs=StatsDict(hp=0, atk=252, phys_def=0, spe_atk=0, spe_def=4, spd=252), ivs=StatsDict(hp=31, atk=31, phys_def=31, spe_atk=31, spe_def=31, spd=31) ) self.Blastoise = PokemonModel( name="Blastoise", types=(PokemonType.Water, None), level=100, nature=PokemonNature.Modest, moves=[ PokemonMove( name="Hydro Pump", move_type=PokemonType.Water, category=MoveCategory.Special, pp=8, power=110, accuracy=80 ), PokemonMove( name="Ice Beam", move_type=PokemonType.Ice, category=MoveCategory.Special, pp=16, power=90 ) ], base_stats=StatsDict(hp=79, atk=83, phys_def=100, spe_atk=85, spe_def=105, spd=78), evs=StatsDict(hp=252, atk=0, phys_def=0, spe_atk=252, spe_def=4, spd=0), ivs=StatsDict(hp=31, atk=31, phys_def=31, spe_atk=31, spe_def=31, spd=31) ) self.Red = PokemonTrainer( name="Red", team=[self.Pikachu], badges=[ArenaBadge.Boulder, ArenaBadge.Cascade, ArenaBadge.Thunder, ArenaBadge.Rainbow, ArenaBadge.Soul, ArenaBadge.Marsh, ArenaBadge.Marsh, ArenaBadge.Earth] ) self.Blue = PokemonTrainer( name="Blue", team=[self.Pidgeot, self.Blastoise], badges=[ArenaBadge.Boulder, ArenaBadge.Cascade, ArenaBadge.Thunder, ArenaBadge.Rainbow, ArenaBadge.Soul, ArenaBadge.Marsh, ArenaBadge.Marsh, ArenaBadge.Earth] ) self.BattleGameState = BattleGameState(player=self.Red, opponent=self.Blue) def test_red_blue_battle(self): with mock.patch.object(InputHandler, 'getCancelableNumberInput', return_value=0): with mock.patch.object(InputHandler, 'getNumberInput', return_value=0): with mock.patch.object(InputHandler, 'getDecisionType', return_value='m'): with mock.patch.object(builtins, 'input', return_value=''): engine = BattleEngine(battleGameState=self.BattleGameState, typesRuleSet=ClassicTypesRuleSet()) assert not engine.startGame()
from faker.generator import Generator class MGenerator(Generator): def add_provider(self, provider, *args, **kwargs): """ 使add_provider支持传参给provider对象 """ if isinstance(provider, type): provider = provider(self, *args, **kwargs) self.providers.insert(0, provider) for method_name in dir(provider): # skip 'private' method if method_name.startswith('_'): continue faker_function = getattr(provider, method_name) if callable(faker_function): # add all faker method to generator self.set_formatter(method_name, faker_function)
import logging import copy import yfinance as yf import pandas as pd import numpy as np import pandas as pd from pypfopt import black_litterman from pypfopt.expected_returns import mean_historical_return from pypfopt.black_litterman import BlackLittermanModel from pypfopt.risk_models import CovarianceShrinkage from sklearn.linear_model import LinearRegression from typing import Dict, List logging.basicConfig(filename='output.log', filemode='a', format='%(asctime)s - %(levelname)-4s [%(filename)s:%(lineno)d] %(message)s', level=logging.INFO) class MarketModels: def __init__(self, historical_prices: pd.DataFrame, model: str, views_dict: Dict[str, float] = {}, confidences: List[float] = [], mcaps: pd.DataFrame = pd.DataFrame(), ff_factors_df: pd.DataFrame = pd.DataFrame()) -> None: self.historical_prices_df = historical_prices # they have to be backfilled self.tickers = list(historical_prices.columns) # tickers lst self.model_summary = {} # dictionary containingy the summary # data validation for views and confidences assert len(views_dict) == len(confidences), "Views and confidences need to be of the same size" self.views_dict = views_dict self.confidences = confidences self.S = None # covar matrix historical self.mu = None # mean historical returns # get the market prices for the sp500 -> main index asset logging.info(f"Initiating download of the main index: 'sp500'") self.sp500 = yf.download("SPY", period="max")["Adj Close"] # bl params self.delta = None # market implied risk aversion self.market_prior = None # compute the market priors -> this needs to be done according to a parameter self.mcaps = mcaps #self.market_prior = self.market_priors(self.mkt_data_reader.mcaps, self.delta, self.S) # ff params self.ff_factors = ff_factors_df # ff factors df (can get them form the dr class) self.df_stocks_ff = None self.risk_factors = list(self.ff_factors.columns) self.er_fama_df = None # df of expected returns of the ff model self.ff_betas = None # ff-betas dict self.ff_scores = None # ff-R^2 of the stocks self.ret_ff = None # annualized expected (mean) normal (not log) returns of the ff-model pd.Series if model == "bl": self.prepare_black_litterman(include_ff = False) # call the prepare bl method elif model == "bl-ff": self.prepare_black_litterman(include_ff = True) # prepare bl method with fama-french as views elif model == "vanilla-ff": self.prepare_ff() def prepare_ff(self): logging.info(f"Computing the expected returns and covar matrix given the FF model") # compute log returns ln_rt = (np.log(self.historical_prices_df / self.historical_prices_df.shift(1)))[1:] # log returns ln_rt.index = pd.to_datetime(ln_rt.index, format= '%Y%m%d') # format date self.df_stocks_ff = ln_rt.merge(self.ff_factors, left_index = True, right_index = True) # join with the ff factors to expand the dataset ff_factors_cols = list(self.ff_factors.columns) # columns of the FF factors -> Here we could remove/add betas={} scores={} er_fama = pd.DataFrame() for ticker in self.tickers: ff_factors_ticker_cols = ff_factors_cols + [ticker] ff_factors_ticker_df = pd.DataFrame() ff_factors_ticker_df = copy.deepcopy(self.df_stocks_ff[ff_factors_ticker_cols]) ff_factors_ticker_df[ticker + "-RF"] = ff_factors_ticker_df[ticker] - ff_factors_ticker_df["RF"] # set up the linear regression problem x_columns = list(filter(lambda ff_factor: ff_factor != "RF", ff_factors_cols)) Y = ff_factors_ticker_df.iloc[:,-1] # dependent var ticker -rf X = (ff_factors_ticker_df)[x_columns] # indep vars (risk factors) reg = LinearRegression(fit_intercept = True).fit(X, Y) #regresion score = reg.score(X, Y) # R^2 of the lin reg coefs = reg.coef_ # betas betas[ticker] = coefs scores[ticker] = score er_fama[ticker] = np.sum(X * coefs, axis = 1) + ff_factors_ticker_df['RF'] # fama-french expected returns df # save the model output self.er_fama_df = er_fama self.ff_betas = betas self.ff_scores = scores # get the mean of the df, convert to normal returns and anualize with 252 trading days self.ret_ff = (np.exp(self.er_fama_df.mean()) - 1) * 252 def prepare_black_litterman(self, include_ff = False): logging.info(f"Computing the expected returns and covar matrices given the Black-Litterman model") #mu_prior = self.compute_estimated_returns(self.historical_prices_df) S_prior = self.covar_matrix(self.historical_prices_df) self.S = S_prior # delta compute the market implied risk aversion parameter self.delta = black_litterman.market_implied_risk_aversion(self.sp500) self.market_prior = self.market_priors(self.mcaps, self.delta, S_prior) bl, ret_bl, S_bl = self.black_litterman(S_prior, self.market_prior, self.delta, self.views_dict, self.confidences) self.model_summary = { "name": "Black-litterman", "model": bl } self.ret_bl = ret_bl # mean matrix for black litterman, pd.Series self.S_bl = S_bl # co-variance matrix for black litterman, pd.DataFrame @staticmethod def black_litterman(S, market_prior, delta, viewdict, confidences): # bl model bl = BlackLittermanModel( S, pi = market_prior, absolute_views = viewdict, risk_aversion = delta, omega = "idzorek", view_confidences = confidences ) ret_bl = bl.bl_returns() # mean matrix for black litterman S_bl = bl.bl_cov() # co-variance matrix for black litterman return bl, ret_bl, S_bl @staticmethod def compute_estimated_returns(mkt_data): logging.info(f"Computing estimated returns using: 'mean_historical_return'") return mean_historical_return(mkt_data) @staticmethod def covar_matrix(mkt_data): logging.info(f"Computing the sample covariance matrix using: Ledoit-Wolf shrinkage") return CovarianceShrinkage(mkt_data).ledoit_wolf() @staticmethod def market_priors(mcaps, delta, S): logging.info(f"Computing the market implied prior returns using: mcaps, (delta) market implied risk aversion, (S) sample covar matrix") return black_litterman.market_implied_prior_returns(mcaps, delta, S)
import os import importlib import numpy as np from .helpers import util from .helpers.data import WSGenerator, WSRandGenerator from sim.helpers.util import get_path as get_network_path from sim.helpers.data import DataInfo def compute(args): network = args.NETWORK epoch = args.epoch anon = not args.include_uid repo = args.datarepo dataset = args.DATASET randc = args.randcomp dinfo = DataInfo(repo) wpath = get_network_path(repo, network)+str(epoch)+'.h5' nmod = importlib.import_module('sim.networks.'+network) model = nmod.model(dinfo) model.load_weights(wpath) if randc: numSamples = 2000000 print("Creating WSRand-generator for "+str(dataset)) gen = WSRandGenerator(dinfo, dataset, numSamples) tss = [] sims = np.empty((0,2)) print("Generating random similarities for "+str(dataset)+" with "+str(numSamples)+" authors.") per = 0 for i, (ts, X) in enumerate(gen): if i >= per*len(gen): print(str(round(per*100))+"%") per += max(0.01, 1.0/len(gen)) if per > 1.0: break sims = np.vstack([sims, model.predict(X)]) tss += ts simOut = util.get_path(repo, dataset, network)+'data-random.csv' with open(simOut, 'w') as fsim: for (ts,sim) in zip(tss,sims): fsim.write(str(ts[0])+';'+str(ts[1])+';'+str(sim[1])+'\n') else: print("Creating WS-generator for "+str(dataset)) gen = WSGenerator(dinfo, dataset) res = [] print("Generating similarities for "+str(dataset)+" with "+str(len(gen))+" authors.") per = 0 for i, (uid, ts, ls, Xs) in enumerate(gen): if i >= per*len(gen): print(str(round(per*100))+"%") per += max(0.01, 1.0/len(gen)) sims = np.empty((0,2)) for x in Xs: sims = np.vstack([sims, model.predict(x)]) res.append((uid, ts, ls, sims)) simOut = util.get_path(repo, dataset, network)+'data-sim.csv' metaOut = util.get_path(repo, dataset, network)+'data-meta.csv' with open(simOut, 'w') as fsim, open(metaOut, 'w') as fmeta: for (uid,ts,ls,sims) in res: if anon: uid = 'author' fsim.write(str(uid)+';'+';'.join([str(sim[1]) for sim in sims])+'\n') fmeta.write(str(uid)+';'+';'.join([str(l)+','+str(t) for l,t in zip(ls,ts)])+'\n')
# -*- encoding: utf-8 -*- """ @File Name : verification.py @Create Time : 2021/7/14 21:00 @Description : @Version : @License : @Author : diklios @Contact Email : diklios5768@gmail.com @Github : https://github.com/diklios5768 @Blog : @Motto : All our science, measured against reality, is primitive and childlike - and yet it is the most precious thing we have. """ __auth__ = 'diklios' from sqlalchemy import Column, String, Integer, Boolean from app.models.base import Base class EmailVerification(Base): email = Column(String(255), nullable=False) # 验证码 verification_code = Column(String(10), nullable=False) # 有效期 expiration = Column(Integer, nullable=False) # 用途 use = Column(String(20), nullable=False) # 现在是否失效(可能被使用,也可能手动过期) valid = Column(Boolean, default=True) class PhoneVerification(Base): # phone_code=Column(String(4),nullable=False) phone = Column(String(12), nullable=False) verification_code = Column(String(10), nullable=False) expiration = Column(Integer, nullable=False) use = Column(String(20), nullable=False) valid = Column(Boolean, default=True)
import requests import datetime import fnmatch import re import logging import subprocess import os import sys from github import Github, Label REPO_NAME = 'AOSC-Dev/aosc-os-abbs' TARGET_LABEL = 'security' AFTER_DATE = datetime.datetime(2019, 11, 6, 0, 0, 0) TOKEN = os.getenv('TOKEN') CVE_PATTERN = r'(?:\*\*)?CVE IDs:(?:\*\*)?\s*((?:(?!\n\n).)*)' ARCH_PATTERN = r'(?:\*\*)?Architectural progress:(?:\*\*)?\s*((?:(?!\n\n).)*)' OTHER_PATTERN = r'(?:\*\*)?Other security advisory IDs:(?:\*\*)?\s*((?:(?!\n\n).)*)' AOSA_PATTERN = r'(AOSA-\d{4}-\d+)' SUPERSEDED_PATTERN = r'[Ss]uperseded by (#\d+)' REFERENCE_REPO = 'https://packages.aosc.io/repo/amd64/stable?page=all&type=json' HEAD_TEMPLATE = """Hi all, Here below is a comprehensive list of AOSC OS Security Advisories announced in the period between {date_start} and {date_end}. This is the 1st issue/batch of security advisories announced here for {date_month} on the security mailing list. Please update your system at your earliest convenience! """ def minimatch(names, pattern): actual_pattern = pattern.replace('{', '[').replace('}', ']') return fnmatch.filter(names, actual_pattern) def get_updated_version_simple(issue): title = issue.title if title.find('to') > 0: return title.split('to')[-1].strip(' ^') return None def get_updated_version_timeline(issue): # TODO: deduce patched version from Git commits pass def get_updated_version_guess(issue): names = get_expanded_names(issue, packages) def fetch_version(name): logging.warning('%s: Using heuristics to determine patched version' % name) # dangerous escaping... data = { 'q': "select epoch, version, release from package_versions where commit_time < strftime('%s', 'now', '-1 days') and package = '{}' and (branch = 'stable' or branch = 'stable-proposed') order by epoch, version, release desc;".format(name)} resp = requests.post("https://packages.aosc.io/query/", data=data, headers={'X-Requested-With': 'XMLHttpRequest'}) resp.raise_for_status() resp = resp.json()['rows'] if not resp: return '' resp = resp[0] version = '' if resp[0]: version = resp[0] + ':' version += resp[1] if resp[2]: version += '-' + resp[2] return version return ', '.join([fetch_version(name) for name in names]) def get_updated_version(issue): for method in [get_updated_version_simple, get_updated_version_timeline, get_updated_version_guess]: result = method(issue) if result: return result return None def get_bulletin_number(issue): body = issue.body numbers = [] result = re.search(CVE_PATTERN, body) if result: cve = result.group(1).strip().replace('N/A', '') if cve: numbers.append(cve) result = re.search(OTHER_PATTERN, body) if result: other = result.group(1).strip().replace('N/A', '') if other: numbers.append(other) return numbers def get_aosa_number(issue): aosa = None for page in range(issue.get_comments().totalCount): for comment in issue.get_comments().get_page(page): result = re.search(AOSA_PATTERN, comment.body) superseded = re.search(SUPERSEDED_PATTERN, comment.body) if result: aosa = result.group(1).strip() if superseded: aosa = 'skip' return aosa def get_issues_after(date: datetime.datetime, repo, label): issues = [] count = 0 for issue in repo.get_issues(state='closed', labels=[label], since=date): issues.append(issue) print('\rEnumerating issues... %s' % count, end='', flush=True, file=sys.stderr) count += 1 print('... done.', file=sys.stderr) return issues def get_expanded_names_bash(name): if re.search(pattern=r'[;\n#]', string=name): return None try: result = subprocess.check_output(['bash', '-rc', 'echo %s' % name]).decode('utf-8') return result.split() except Exception: return None def get_expanded_names(issue, packages): if ':' not in issue.title: return [issue.title] pattern = issue.title.split(': ')[0] return minimatch(packages, pattern) or get_expanded_names_bash(pattern) or [pattern] def generate_head(start, end): return HEAD_TEMPLATE.format(date_start=start.strftime('%B %-d'), date_end=end.strftime('%B %-d'), date_month=end.strftime('%B of %Y')) def main(): logging.info('Fetching issues from GitHub...') gh = Github(base_url="https://api.github.com", login_or_token=TOKEN) repo = gh.get_repo(REPO_NAME) label = repo.get_label(TARGET_LABEL) bulletins = get_issues_after(AFTER_DATE, repo, label) output = '' for bulletin in bulletins: aosa = get_aosa_number(bulletin) version = get_updated_version(bulletin) bulletin_number = ', '.join(get_bulletin_number(bulletin)) name = ', '.join(get_expanded_names(bulletin, packages)) if not aosa: aosa = 'AOSA-????-????' logging.warning('AOSA number not found for: %s' % bulletin.html_url) if aosa == 'skip': logging.warning('AOSA skipped for: %s due to obsoletion' % bulletin.html_url) continue output += ('- %s: Update %s to %s (%s).\n' % (aosa, name, version, bulletin_number)) print( '\n\n' + generate_head(bulletins[-1].created_at, bulletins[0].created_at) + output) if __name__ == "__main__": logging.getLogger().setLevel(logging.INFO) logging.info("Fetching information from package site...") resp = requests.get(REFERENCE_REPO) resp.raise_for_status() packages = resp.json()['packages'] packages = [i['name'] for i in packages] main()
# ***************************************************************************** # Copyright 2017 Karl Einar Nelson # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # ***************************************************************************** import sys import jpype import common from jpype.types import * from jpype import java def passThrough(item): al = JClass("java.util.ArrayList")() al.add(item) return al.get(0) class BoxedTestCase(common.JPypeTestCase): __name__ = "BoxedTestCase" def setUp(self): common.JPypeTestCase.setUp(self) self.TestBoxed = jpype.JClass('jpype.boxed.Boxed') self.Number = jpype.JClass('java.lang.Number') self.Comparable = jpype.JClass('java.lang.Comparable') def testShort(self): c1 = 12345 # Check passed from and passed to d1 = self.TestBoxed.newShort(c1) d2 = java.lang.Short(c1) self.assertEqual(d1, c1) self.assertEqual(d2, c1) self.assertEqual(c1, d1) self.assertEqual(c1, d2) self.assertEqual(d1, d2) self.assertEqual(self.TestBoxed.callShort(c1), self.TestBoxed.callShort(d2)) # Verify ops self.assertEqual(d1 + 2, d1 + 2) self.assertEqual(d1 * 2, d1 * 2) def testInteger(self): c1 = 12345 # Check passed from and passed to d1 = self.TestBoxed.newInteger(c1) d2 = java.lang.Integer(c1) self.assertEqual(d1, c1) self.assertEqual(d2, c1) self.assertEqual(c1, d1) self.assertEqual(c1, d2) self.assertEqual(d1, d2) self.assertEqual(self.TestBoxed.callInteger(c1), self.TestBoxed.callInteger(d2)) # Verify ops self.assertEqual(d1 + 2, d1 + 2) self.assertEqual(d1 * 2, d1 * 2) def testLong(self): c1 = 12345 # Check passed from and passed to d1 = self.TestBoxed.newLong(c1) d2 = java.lang.Long(c1) self.assertEqual(d1, c1) self.assertEqual(d2, c1) self.assertEqual(c1, d1) self.assertEqual(c1, d2) self.assertEqual(d1, d2) self.assertEqual(self.TestBoxed.callLong(c1), self.TestBoxed.callLong(d2)) # Verify ops self.assertEqual(d1 + 2, d1 + 2) self.assertEqual(d1 * 2, d1 * 2) def testDoubleFromFloat(self): java.lang.Double(1.0) def testFloatFromInt(self): java.lang.Float(1) def testDoubleFromInt(self): java.lang.Double(1) def testBoxed2(self): java.lang.Short(java.lang.Integer(1)) java.lang.Integer(java.lang.Integer(1)) java.lang.Long(java.lang.Integer(1)) java.lang.Float(java.lang.Integer(1)) java.lang.Float(java.lang.Long(1)) java.lang.Double(java.lang.Integer(1)) java.lang.Double(java.lang.Long(1)) java.lang.Double(java.lang.Float(1)) def testFloat(self): c1 = 123124 / 256.0 # Check passed from and passed to d1 = self.TestBoxed.newFloat(c1) d2 = java.lang.Float(c1) self.assertEqual(d1, c1) self.assertEqual(d2, c1) self.assertEqual(c1, d1) self.assertEqual(c1, d2) self.assertEqual(d1, d2) self.assertEqual(self.TestBoxed.callFloat(c1), self.TestBoxed.callFloat(d2)) # Verify ops self.assertEqual(d1 + 2, d1 + 2) self.assertEqual(d1 * 2, d1 * 2) self.assertTrue(d2 < c1 + 1) self.assertTrue(d2 > c1 - 1) def testDouble(self): c1 = 123124 / 256.0 # Check passed from and passed to d1 = self.TestBoxed.newDouble(c1) d2 = java.lang.Double(c1) self.assertEqual(d1, c1) self.assertEqual(d2, c1) self.assertEqual(c1, d1) self.assertEqual(c1, d2) self.assertEqual(d1, d2) self.assertEqual(self.TestBoxed.callDouble(c1), self.TestBoxed.callDouble(d2)) # Verify ops self.assertEqual(d1 + 2, d1 + 2) self.assertEqual(d1 * 2, d1 * 2) self.assertTrue(d2 < c1 + 1) self.assertTrue(d2 > c1 - 1) def testShortResolve(self): self.assertEqual(self.TestBoxed.whichShort(1), 1) self.assertEqual(self.TestBoxed.whichShort(java.lang.Short(1)), 2) def testIntegerResolve(self): self.assertEqual(self.TestBoxed.whichInteger(1), 1) self.assertEqual(self.TestBoxed.whichInteger(java.lang.Integer(1)), 2) def testLongResolve(self): self.assertEqual(self.TestBoxed.whichLong(1), 1) self.assertEqual(self.TestBoxed.whichLong(java.lang.Long(1)), 2) def testFloatResolve(self): self.assertEqual(self.TestBoxed.whichFloat(1.0), 1) self.assertEqual(self.TestBoxed.whichFloat(java.lang.Float(1.0)), 2) def testDoubleResolve(self): self.assertEqual(self.TestBoxed.whichDouble(1.0), 1) self.assertEqual(self.TestBoxed.whichDouble(java.lang.Double(1.0)), 2) def testPrivitiveToBoxed(self): java.lang.Boolean(JBoolean(0)) java.lang.Byte(JByte(0)) java.lang.Short(JShort(0)) java.lang.Integer(JInt(0)) java.lang.Long(JLong(0)) java.lang.Float(JFloat(0)) java.lang.Double(JDouble(0)) def testBooleanBad(self): # java.lang.Boolean(X) works like bool(X) # Explicit is a cast self.assertFalse(java.lang.Boolean(tuple())) self.assertFalse(java.lang.Boolean(list())) self.assertFalse(java.lang.Boolean(dict())) self.assertFalse(java.lang.Boolean(set())) self.assertTrue(java.lang.Boolean(tuple(['a']))) self.assertTrue(java.lang.Boolean(['a'])) self.assertTrue(java.lang.Boolean({'a': 1})) self.assertTrue(java.lang.Boolean(set(['a', 'b']))) # Implicit does not automatically cast fixture = JClass('jpype.common.Fixture')() with self.assertRaises(TypeError): fixture.callBoxedBoolean(tuple()) with self.assertRaises(TypeError): fixture.callBoxedBoolean(list()) with self.assertRaises(TypeError): fixture.callBoxedBoolean(dict()) with self.assertRaises(TypeError): fixture.callBoxedBoolean(set()) def testByteBad(self): with self.assertRaises(TypeError): java.lang.Byte(tuple()) def testCharacterBad(self): with self.assertRaises(TypeError): java.lang.Character(tuple()) def testShortBad(self): with self.assertRaises(TypeError): java.lang.Short(tuple()) def testIntegerBad(self): with self.assertRaises(TypeError): java.lang.Integer(tuple()) def testLongBad(self): with self.assertRaises(TypeError): java.lang.Long(tuple()) def testFloatBad(self): with self.assertRaises(TypeError): java.lang.Float(tuple()) def testDoubleBad(self): with self.assertRaises(TypeError): java.lang.Double(tuple()) def testBooleanBad2(self): with self.assertRaises(TypeError): java.lang.Boolean(tuple(), tuple()) def testByteBad2(self): with self.assertRaises(TypeError): java.lang.Byte(tuple(), tuple()) def testCharacterBad2(self): with self.assertRaises(TypeError): java.lang.Character(tuple(), tuple()) def testShortBad2(self): with self.assertRaises(TypeError): java.lang.Short(tuple(), tuple()) def testIntegerBad2(self): with self.assertRaises(TypeError): java.lang.Integer(tuple(), tuple()) def testLongBad2(self): with self.assertRaises(TypeError): java.lang.Long(tuple(), tuple()) def testFloatBad2(self): with self.assertRaises(TypeError): java.lang.Float(tuple(), tuple()) def testDoubleBad2(self): with self.assertRaises(TypeError): java.lang.Double(tuple(), tuple()) def compareTest(self, u, v): self.assertEqual(u, v) self.assertNotEqual(u, v - 1) self.assertTrue(u > v - 1) self.assertFalse(u > v + 1) self.assertTrue(u >= v) self.assertTrue(u <= v) self.assertFalse(u < v) self.assertFalse(u > v) self.assertTrue(u < v + 1) self.assertTrue(u > v - 1) def testByteBoxOps(self): u = JObject(81, JByte) self.assertIsInstance(u, jpype.java.lang.Byte) self.compareTest(u, 81) def testCharBoxOps(self): u = JObject('Q', JChar) self.assertIsInstance(u, jpype.java.lang.Character) self.compareTest(u, 81) def testShortBoxOps(self): u = JObject(81, JShort) self.assertIsInstance(u, jpype.java.lang.Short) self.compareTest(u, 81) def testIntBoxOps(self): u = JObject(81, JInt) self.assertIsInstance(u, jpype.java.lang.Integer) self.compareTest(u, 81) def testLongBoxOps(self): u = JObject(81, JLong) self.assertIsInstance(u, jpype.java.lang.Long) self.compareTest(u, 81) def testIntBoxOps(self): u = JObject(81, JFloat) self.assertIsInstance(u, jpype.java.lang.Float) self.compareTest(u, 81) def testLongBoxOps(self): u = JObject(81, JDouble) self.assertIsInstance(u, jpype.java.lang.Double) self.compareTest(u, 81) def testCharBox(self): u = passThrough(JChar('Q')) self.assertIsInstance(u, jpype.java.lang.Character) self.assertEqual(u, jpype.java.lang.Character('Q')) def testBooleanBox(self): u = passThrough(JBoolean(True)) self.assertIsInstance(u, jpype.java.lang.Boolean) self.assertEqual(u, jpype.java.lang.Boolean(True)) self.assertEqual(u, True) u = passThrough(JBoolean(False)) self.assertIsInstance(u, jpype.java.lang.Boolean) self.assertEqual(u, jpype.java.lang.Boolean(False)) self.assertEqual(u, False) def testByteBox(self): u = passThrough(JByte(5)) self.assertIsInstance(u, java.lang.Byte) self.assertEqual(u, java.lang.Byte(5)) def testShortBox(self): u = passThrough(JShort(5)) self.assertIsInstance(u, java.lang.Short) self.assertEqual(u, java.lang.Short(5)) def testIntBox(self): u = passThrough(JInt(5)) self.assertIsInstance(u, java.lang.Integer) self.assertEqual(u, java.lang.Integer(5)) def testLongBox(self): u = passThrough(JLong(5)) self.assertIsInstance(u, java.lang.Long) self.assertEqual(u, java.lang.Long(5)) def testFloatBox(self): u = passThrough(JFloat(5)) self.assertIsInstance(u, java.lang.Float) self.assertEqual(u, java.lang.Float(5)) def testDoubleBox(self): u = passThrough(JDouble(5)) self.assertIsInstance(u, java.lang.Double) self.assertEqual(u, java.lang.Double(5)) def testBooleanNull(self): n = JObject(None, JBoolean) self.assertIsInstance(n, java.lang.Boolean) self.assertEqual(n, None) self.assertNotEqual(n, True) self.assertNotEqual(n, False) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testCharNull(self): n = JObject(None, JChar) self.assertIsInstance(n, java.lang.Character) self.assertNotEqual(n, 0) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testByteNull(self): n = JObject(None, JByte) self.assertIsInstance(n, java.lang.Byte) self.assertNotEqual(n, 0) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testShortNull(self): n = JObject(None, JShort) self.assertIsInstance(n, java.lang.Short) self.assertNotEqual(n, 0) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testIntNull(self): n = JObject(None, JInt) self.assertIsInstance(n, java.lang.Integer) self.assertNotEqual(n, 0) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testLongNull(self): n = JObject(None, JLong) self.assertIsInstance(n, java.lang.Long) self.assertNotEqual(n, 0) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testFloatNull(self): n = JObject(None, JFloat) self.assertIsInstance(n, java.lang.Float) self.assertNotEqual(n, 0) self.assertNotEqual(n, 0.0) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testDoubleNull(self): n = JObject(None, JDouble) self.assertIsInstance(n, java.lang.Double) self.assertNotEqual(n, 0) self.assertNotEqual(n, 0.0) with self.assertRaises(TypeError): int(n) with self.assertRaises(TypeError): float(n) self.assertEqual(str(n), str(None)) self.assertEqual(repr(n), str(None)) self.assertEqual(hash(n), hash(None)) u = passThrough(n) self.assertEqual(u, None) def testAsNumber(self): self.assertIsInstance(java.lang.Byte(1), java.lang.Number) self.assertIsInstance(java.lang.Short(1), java.lang.Number) self.assertIsInstance(java.lang.Integer(1), java.lang.Number) self.assertIsInstance(java.lang.Long(1), java.lang.Number) self.assertIsInstance(java.lang.Float(1), java.lang.Number) self.assertIsInstance(java.lang.Double(1), java.lang.Number)
from __future__ import print_function import sys from AppKit import NSObject from PyObjCTools import AppHelper import vanilla class SimpleAppAppDelegate(NSObject): def applicationDidFinishLaunching_(self, notification): SimpleAppWindow() class SimpleAppWindow(object): def __init__(self): self.w = vanilla.Window((250, 120), "Simple App Window", closable=False) self.w.text = vanilla.TextBox((10, 10, -10, 70), "This is a simple window. It doesn't do much. You see that button? Press it and some text will be printed in Console.app.") self.w.button = vanilla.Button((10, 90, -10, 20), "Press me", callback=self.buttonCallback) self.w.open() def buttonCallback(self, sender): print("You pressed the button!") sys.stdout.flush() if __name__ == "__main__": AppHelper.runEventLoop()
import cv2 import numpy as np import os, re import face_recognition.api as face_recognition recognizer = cv2.face.LBPHFaceRecognizer_create() recognizer.read('trainer/trainer_lbp.yml') cascadePath = "cascade_data/lbpcascade_frontalface.xml" faceCascade = cv2.CascadeClassifier(cascadePath) unidentified_image_dir = "../unidentified_images" font = cv2.FONT_HERSHEY_SIMPLEX #iniciate id counter id = 0 def image_files_in_folder(folder): return [os.path.join(folder, f) for f in os.listdir(folder) if re.match(r'.*\.(jpg|jpeg|png)', f, flags=re.I)] print("Start LBPH image recognize Program.") for img_path in image_files_in_folder(unidentified_image_dir): #load image from the image file image = face_recognition.load_image_file(img_path) # convert the image to gray scale gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale( gray, scaleFactor = 1.2, minNeighbors = 5, ) for(x,y,w,h) in faces: id, confidence = recognizer.predict(gray[y:y+h,x:x+w]) # Check if confidence is less them 100 ==> "0" is perfect match if (confidence < 100): #id = names[id] confidence = " {0}%".format(round(100 - confidence)) print("Found person id : {} ".format(id)) print("Confidence Level - {}".format( confidence)) else: id = "unknown" confidence = " {0}%".format(round(100 - confidence)) print("Found person id : Unknown") print("Confidence Level - {}".format( confidence)) print("\n Exiting Program.")
import soundset # create random score for C3~C5note == 130.8~523.3hz #-> score object s1 = soundset.score.random(length=32,tempo=120,beat=16,chord=3,pitch=3,register=25,random_state=None) # create score piano roll #-> 2-dim binaly numpy array, size of (length, 128) roll = s1.to_roll(ignore_out_of_range=False) assert roll.dtype==int, 'it is binaly array but dtype is int' assert roll.shape==(32,128), 'shape is to (32,128)' assert roll.min()==0 and roll.max()==1, 'binaly array' assert all( roll.sum(axis=1)==3 ), 'each line has 3 notes' roll = s1.to_roll(ignore_out_of_range=True) assert roll.shape == (32,25), 'the roll shape is to (32,25) when ignore_out_of_range is True' # synthesize score #-> 1 or 2-dim float on [-1,1] numpy array, size of (length):mono or (length, 2):stereo wave = s1.to_wave(instrument=0,stereo=True,rate=44100) # inst0=piano assert wave.dtype==float assert wave.shape==(44100*32*4/16*60/120, 2) assert -1<=wave.min() and wave.max()<=1 # synthesize score with system soundfont wave = s1.to_wave(instrument=40) # synthesize violin with default font # refaences ## score ## you can generate specific score with pianoroll # s2 = soundset.score.generate(roll=roll) # the size must be (length, 128) ## (in future) you can generate score from midi file # s2 = soundset.score.load(filename='midi/file/name.midi') ## (in future) you can save score as midi file # s2.save(filename='midifilename.midi') ## synthesize ## (in future) wave is Periodic function which period is 2 pi, and range is [-1,1] # s2.to_wave(wave=np.sin) print('') print('all tests pass.') print('done.')
## -*- coding: UTF8 -*- ## view.py ## Copyright (c) 2020 libcommon ## ## Permission is hereby granted, free of charge, to any person obtaining a copy ## of this software and associated documentation files (the "Software"), to deal ## in the Software without restriction, including without limitation the rights ## to use, copy, modify, merge, publish, distribute, sublicense, and/or sell ## copies of the Software, and to permit persons to whom the Software is ## furnished to do so, subject to the following conditions: ## ## The above copyright notice and this permission notice shall be included in all ## copies or substantial portions of the Software. ## ## THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR ## IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, ## FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE ## AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER ## LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, ## OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE ## SOFTWARE. # pylint: disable=W0613 import os from sqlalchemy import Column from sqlalchemy.engine.interfaces import Compiled from sqlalchemy.event import listen from sqlalchemy.ext.compiler import compiles from sqlalchemy.schema import DDLElement, MetaData, Table from sqlalchemy.sql.expression import FromClause __author__ = "libcommon" class CreateViewExpression(DDLElement): """Custom DDL element to create SQL view. NOTE: Implementation taken from http://www.jeffwidman.com/blog/847/using-sqlalchemy-to-create-and-manage-postgresql-materialized-views/ """ def __init__(self, name: str, selectable: FromClause) -> None: self.name = name self.selectable = selectable @compiles(CreateViewExpression) def generate_view_create_expression(element: CreateViewExpression, compiler: Compiled, **kwargs) -> str: return "CREATE VIEW {} AS {}".format(element.name, compiler.sql_compiler.process(element.selectable, literal_binds=True)) class CreateMaterializedViewExpression(CreateViewExpression): """Custom DDL Element to create Postgres materialized view (see: CreateViewExpression).""" @compiles(CreateMaterializedViewExpression, "postgresql") def generate_mview_create_expression(element, compiler: Compiled, **kwargs) -> str: return "CREATE MATERIALIZED VIEW {} AS {}".format(element.name, compiler.sql_compiler.process(element.selectable, literal_binds=True)) class DropViewExpression(DDLElement): """Custom DDL element to drop SQL view.""" def __init__(self, name: str) -> None: self.name = name @compiles(DropViewExpression) def generate_view_drop_expression(element, compiler: Compiled, **kwargs) -> str: return "DROP VIEW IF EXISTS {}".format(element.name) class DropMaterializedViewExpression(DropViewExpression): """Cusotm DDL element to drop Postgres materialized view.""" @compiles(DropMaterializedViewExpression, "postgresql") def generate_mview_drop_expression(element, compiler: Compiled, **kwargs) -> str: return "DROP MATERIZLIZED VIEW IF EXISTS {}".format(element.name) def create_view(name: str, selectable: FromClause, metadata: MetaData, materialized: bool = False) -> Table: """ Args: name => name of materialized view to create selectable => query to create view as metadata => metadata to listen for events on materialized => whether to create standard or materialized view Returns: Table object bound to temporary MetaData object with columns returned from selectable (essentially creates table as view). NOTE: For non-postgresql backends, creating a materialized view will result in a standard view, which cannot be indexed. Preconditions: N/A Raises: N/A """ _tmp_mt = MetaData() tbl = Table(name, _tmp_mt) for column in selectable.c: tbl.append_column(Column(column.name, column.type, primary_key=column.primary_key)) listen(metadata, "after_create", (CreateMaterializedViewExpression(name, selectable) if materialized else CreateViewExpression(name, selectable))) listen(metadata, "before_drop", DropMaterializedViewExpression(name) if materialized else DropViewExpression(name)) return tbl if os.environ.get("ENVIRONMENT") == "TEST": from datetime import datetime import unittest from sqlalchemy.engine import create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.sql import select from tests.common import BaseTable, User, Post PostAuditTimeline = create_view("post_audit_timeline", select([User.id, User.first_name, Post.created_at], order_by=Post.created_at), BaseTable.metadata) class TestViewUtilities(unittest.TestCase): """Tests for view creation/drop utilities.""" def setUp(self): # Create SQLAlchemy engine for in-memory SQLite database # See: https://docs.sqlalchemy.org/en/13/core/engines.html#sqlite self.engine = create_engine("sqlite://") # Create all tables in database BaseTable.metadata.create_all(self.engine) # Bind sessionmaker instance to engine self.session_factory = sessionmaker(bind=self.engine) # Create session self.session = self.session_factory() def test_create_view_expression_single_table(self): """Test that view creation query compiles correctly where view selects from a single table. """ # Create view query view_query = select([User.id, User.first_name, User.last_name]) # Set expected output ddl_statement = ("CREATE VIEW user_names AS " "SELECT \"user\".id, \"user\".first_name, \"user\".last_name FROM \"user\"") # NOTE: have to remove newline because SQLAlchemy's select inserts them by default self.assertEqual(ddl_statement, str(CreateViewExpression("user_names", view_query)).replace("\n", "")) def test_create_view_expression_join(self): """Test that view creation query compiles correctly where view selects from two tables (with join). """ # Create view query view_query = select([ User.id, (User.first_name + User.last_name).label("full_name"), Post.content ]) ddl_statement = ("CREATE VIEW user_posts AS " "SELECT \"user\".id, \"user\".first_name || \"user\".last_name AS full_name, post.content " "FROM \"user\", post") self.assertEqual(ddl_statement, str(CreateViewExpression("user_posts", view_query)).replace("\n", "")) def test_drop_view_expression_single_table(self): """Test that drop view query compiles correctly.""" self.assertEqual("DROP VIEW IF EXISTS user_names", str(DropViewExpression("user_names"))) def test_select_from_created_view(self): """Test that PostAuditTimeline was created in database and has the right columns by: 1) Adding a User record 2) Adding a Post record tied to User 3) Selecting from view """ # Add User record to database user = User(first_name="Susan", last_name="Sarandon", email="susan.sarandon@gmail.com") # NOTE: Pylint doesn't see these methods on Session type self.session.add(user) # pylint: disable=E1101 self.session.commit() # pylint: disable=E1101 # Add Post record to database created_at_datetime = datetime.utcnow() post = Post(user_id=user.id, content="<h1>This is a post</h1>", created_at=created_at_datetime) self.session.add(post) # pylint: disable=E1101 self.session.commit() # pylint: disable=E1101 # Select records from post_audit_timeline and ensure match up with records in database self.assertEqual([(1, "Susan", created_at_datetime)], self.session.query(PostAuditTimeline).all()) # pylint: disable=E1101 def tearDown(self): self.session.close() # pylint: disable=E1101 self.engine.dispose()
"""Add binvox_rw to PYTHONPATH Usage: import _init_binvox import binvox """ import os.path as osp import sys def add_path(path): if path not in sys.path: sys.path.insert(0, path) this_dir = osp.dirname(osp.realpath(__file__)) binvox_dir = osp.abspath(osp.join(this_dir, '..', 'libs', 'binvox-rw-py')) # Add lib to PYTHONPATH add_path(binvox_dir)
# Recuerda que el radio es la mitad del diámetro. # Por otro lado, si nosotros quisieramos saber cuanto es 51 entre 17 lo podemos guardar en una variable # Resultado_Sorprendente = 51 / 17 # Y luego esa podemos usarla para otros calculos como: # Resultado_Sorprendete_2 = (Resultado_Sorprendente ** 2) * 11
from django.urls import path from . import views urlpatterns = [ path('', views.danmakuwall, name='danmakuwall'), ]
# -*- coding: utf-8 -*- import codecs import os, sys import copy import random import json import math import decimal import datetime import threading import exceptions import time import base64 import md5 from gevent import socket import urllib, urllib2, urlparse from socket import error import errno import subprocess from multiprocessing import Process, Queue, current_process, freeze_support import shutil import re #from PIL import Image import StringIO import cgi import uuid import copy from contextlib import contextmanager from gevent import pywsgi import gevent import gevent.fileobject from gevent.local import local from gevent.subprocess import check_output import pymongo import gridfs from bson.objectid import ObjectId try: from geventhttpclient import HTTPClient, URL except: print('geventhttpclient import error') try: import geventwebsocket from geventwebsocket.handler import WebSocketHandler except: print('geventwebsocket import error') # try: # from pysimplesoap.server import SoapDispatcher, WSGISOAPHandler # from pysimplesoap.client import SoapClient, SoapFault # except: # print('pysimplesoap import error') try: from PIL import Image except : print('PIL import error') try: from lxml import etree except: print('lxml import error') try: import czml except: print('czml import error') try: from py3o.template import Template except: print('import py3o.template error') import werkzeug from werkzeug.wrappers import Request, BaseResponse from werkzeug.local import LocalProxy from werkzeug.contrib.sessions import FilesystemSessionStore from werkzeug.utils import dump_cookie, parse_cookie from werkzeug.routing import Map, Rule, BaseConverter, ValidationError, HTTPException from sessions import MongoClient, MongodbSessionStore import configobj import db_util import bayes_util from module_locator import module_path, dec, dec1, enc, enc1 ENCODING = None ENCODING1 = None STATICRESOURCE_DIR = None STATICRESOURCE_CSS_DIR = None STATICRESOURCE_JS_DIR = None STATICRESOURCE_IMG_DIR = None UPLOAD_PHOTOS_DIR = None UPLOAD_VOICE_DIR = None gConfig = None gStaticCache = {} gTileCache = {} #deprecated gSatTileCache = {} gMapTileCache = {} gTerrainCache = {} gGreenlets = {} gClusterProcess = {} gLoginToken = {} gSecurityConfig = {} gWebSocketsMap = {} gTcpReconnectCounter = 0 gTcpSock = None gHttpClient = {} gFormTemplate = [] _SPECIAL = re.escape('()<>@,;:\\"/[]?={} \t') _RE_SPECIAL = re.compile('[%s]' % _SPECIAL) _QSTR = '"(?:\\\\.|[^"])*"' # Quoted string _VALUE = '(?:[^%s]+|%s)' % (_SPECIAL, _QSTR) # Save or quoted string _OPTION = '(?:;|^)\s*([^%s]+)\s*=\s*(%s)' % (_SPECIAL, _VALUE) _RE_OPTION = re.compile(_OPTION) # key=value part of an Content-Type like header gSessionStore = None gRequests = None gRequest = None gProxyRequest = None gJoinableQueue = None class BooleanConverter(BaseConverter): def __init__(self, url_map, randomify=False): super(BooleanConverter, self).__init__(url_map) self.regex = '(?:true|false)' def to_python(self, value): return value == 'true' def to_url(self, value): return value and 'true' or 'false' class Py3oItem(object): pass gUrlMap = Map([ Rule('/', endpoint='firstaccess'), Rule('/websocket', endpoint='handle_websocket'), #Rule('/auth_check/<username>/isnew/<bool:isnew>', endpoint='saveuser'), Rule('/get_salt', endpoint='get_salt'), Rule('/auth_check/<username>', endpoint='auth_check'), Rule('/auth_check', endpoint='auth_check'), Rule('/register/<username>/<password>', endpoint='user_add'), Rule('/register/<username>', endpoint='user_add'), Rule('/register', endpoint='user_add'), Rule('/unregister/<username>', endpoint='user_delete'), Rule('/unregister', endpoint='user_delete'), Rule('/login/<username>/<password>', endpoint='login'), Rule('/login/<username>', endpoint='login'), Rule('/login', endpoint='login'), Rule('/logout', endpoint='logout'), Rule('/reset_password/<username>/<password>', endpoint='reset_password'), Rule('/reset_password/<username>', endpoint='reset_password'), Rule('/reset_password', endpoint='reset_password'), Rule('/user_check', endpoint='user_check'), Rule('/user_query', endpoint='user_query'), Rule('/user_update', endpoint='user_update'), Rule('/function_add', endpoint='function_add'), Rule('/function_query', endpoint='function_query'), Rule('/function_update', endpoint='function_update'), Rule('/function_delete', endpoint='function_delete'), Rule('/role_add', endpoint='role_add'), Rule('/role_update', endpoint='role_update'), Rule('/role_query', endpoint='role_query'), Rule('/role_delete', endpoint='role_delete'), Rule('/role_template_save', endpoint='role_template_save'), Rule('/role_template_get', endpoint='role_template_get'), Rule('/workflow_add', endpoint='workflow_add'), Rule('/workflow_query', endpoint='workflow_query'), Rule('/workflow_query/<_id>', endpoint='workflow_query'), Rule('/workflow_update', endpoint='workflow_update'), Rule('/workflow_delete', endpoint='workflow_delete'), Rule('/workflow_delete/<_id>', endpoint='workflow_delete'), Rule('/workflow_template_add', endpoint='workflow_template_add'), Rule('/workflow_template_query', endpoint='workflow_template_query'), Rule('/workflow_template_query/<_id>', endpoint='workflow_template_query'), Rule('/workflow_template_update', endpoint='workflow_template_update'), Rule('/workflow_template_delete', endpoint='workflow_template_delete'), Rule('/workflow_template_delete/<_id>', endpoint='workflow_template_delete'), Rule('/workflow_form_fill', endpoint='workflow_form_fill'), Rule('/workflow_form_blank', endpoint='workflow_form_blank'), Rule('/user_add', endpoint='user_add'), Rule('/user_get', endpoint='user_get'), Rule('/all_user_get', endpoint='all_user_get'), Rule('/user_remove', endpoint='user_remove'), Rule('/group_add', endpoint='group_add'), Rule('/group_get', endpoint='group_get'), Rule('/group_update', endpoint='group_update'), Rule('/group_remove', endpoint='group_remove'), Rule('/user_group_get', endpoint='user_group_get'), Rule('/user_contact_get', endpoint='user_contact_get'), Rule('/chat_broadcast', endpoint='chat_broadcast'), Rule('/chat_log_query', endpoint='chat_log_query'), Rule('/chat_log_remove', endpoint='chat_log_remove'), Rule('/gridfs/upload', endpoint='gridfs_upload'), Rule('/gridfs/get', endpoint='gridfs_get'), Rule('/gridfs/get/<_id>', endpoint='gridfs_get'), Rule('/gridfs/get/<_id>/thumbnail/<width>/<height>', endpoint='gridfs_get'), Rule('/gridfs/query/<width>/<height>', endpoint='gridfs_query'), Rule('/gridfs/query/<width>/<height>/<limit>', endpoint='gridfs_query'), Rule('/gridfs/query/<width>/<height>/<limit>/<skip>', endpoint='gridfs_query'), Rule('/gridfs/delete', endpoint='gridfs_delete'), Rule('/gridfs/delete/<_id>', endpoint='gridfs_delete'), Rule('/antibird/get_equip_list', endpoint='get_equip_list'), Rule('/antibird/get_latest_records_by_imei', endpoint='get_latest_records_by_imei'), Rule('/antibird/equip_tower_mapping', endpoint='equip_tower_mapping'), Rule('/state_examination/save', endpoint='state_examination_save'), Rule('/state_examination/query', endpoint='state_examination_query'), Rule('/state_examination/query/line_names', endpoint='state_examination_query_line_names'), Rule('/state_examination/delete', endpoint='state_examination_delete'), Rule('/state_examination/delete/<_id>', endpoint='state_examination_delete'), Rule('/bayesian/query/graphiz', endpoint='bayesian_query_graphiz'), Rule('/bayesian/query/node', endpoint='bayesian_query_node'), Rule('/bayesian/query/predict', endpoint='bayesian_query_predict'), Rule('/bayesian/save/node', endpoint='bayesian_save_node'), Rule('/bayesian/delete/node', endpoint='bayesian_delete_node'), Rule('/bayesian/delete/node/<_id>', endpoint='bayesian_delete_node'), Rule('/bayesian/query/domains_range', endpoint='bayesian_query_domains_range'), Rule('/bayesian/save/domains_range', endpoint='bayesian_save_domains_range'), Rule('/bayesian/delete/domains_range', endpoint='bayesian_delete_domains_range'), Rule('/bayesian/delete/domains_range/<_id>', endpoint='bayesian_delete_domains_range'), Rule('/bayesian/reset/unit', endpoint='bayesian_reset_unit'), ], converters={'bool': BooleanConverter}) @contextmanager def session_manager(environ): global gRequests, gRequest if gRequests is None: gRequests = local() gRequest = LocalProxy(lambda: gRequests.request) gRequests.request = Request(environ) yield gRequests.request = None def init_global(): global ENCODING, ENCODING1, STATICRESOURCE_DIR, STATICRESOURCE_CSS_DIR, STATICRESOURCE_JS_DIR, STATICRESOURCE_IMG_DIR, UPLOAD_PHOTOS_DIR, UPLOAD_VOICE_DIR global gConfig, gStaticCache, gGreenlets, gClusterProcess, gSecurityConfig, gJoinableQueue ENCODING = 'utf-8' ENCODING1 = 'gb18030' STATICRESOURCE_DIR = os.path.join(module_path(), 'static') #CONFIGFILE = os.path.join(module_path(), 'ogc-config.ini') #gConfig = configobj.ConfigObj(db_util.CONFIGFILE, encoding='UTF8') gConfig = db_util.gConfig if gConfig['web'].has_key('webroot') and len(gConfig['web']['webroot'])>0: if os.path.exists(gConfig['web']['webroot']): STATICRESOURCE_DIR = gConfig['web']['webroot'] STATICRESOURCE_CSS_DIR = os.path.join(STATICRESOURCE_DIR, 'css') STATICRESOURCE_JS_DIR = os.path.join(STATICRESOURCE_DIR, 'js') STATICRESOURCE_IMG_DIR = os.path.join(STATICRESOURCE_DIR, 'img') UPLOAD_PHOTOS_DIR = os.path.join(STATICRESOURCE_DIR,'photos', 'upload') UPLOAD_VOICE_DIR = os.path.join(STATICRESOURCE_DIR,'voice') if gConfig['wsgi']['application'].lower() == 'authorize_platform': gSecurityConfig = db_util.mongo_find_one(gConfig['authorize_platform']['mongodb']['database'], gConfig['authorize_platform']['mongodb']['collection_security_config'], {}, 'authorize_platform' ) if gSecurityConfig is None: gSecurityConfig = {} if gConfig['wsgi']['application'].lower() in ['pay_platform', 'fake_gateway_alipay']: gJoinableQueue = gevent.queue.JoinableQueue(maxsize=int(gConfig['pay_platform']['queue']['max_queue_size'])) l = db_util.mongo_find(gConfig['pay_platform']['mongodb']['database'], gConfig['pay_platform']['mongodb']['collection_config'], {}, 0, 'pay_platform' ) for i in l: del i['_id'] key = i.keys()[0] gSecurityConfig[key] = i[key] if len(l) == 0: gSecurityConfig = {} if gConfig['wsgi']['application'].lower() == 'chat_platform': gJoinableQueue = gevent.queue.JoinableQueue(maxsize=int(gConfig['chat_platform']['queue']['max_queue_size'])) def handle_static(environ, aUrl): global ENCODING, gConfig global STATICRESOURCE_DIR, STATICRESOURCE_JS_DIR, STATICRESOURCE_CSS_DIR, STATICRESOURCE_IMG_DIR, UPLOAD_VOICE_DIR statuscode, contenttype, body = '404 Not Found', 'text/plain;charset=' + ENCODING, '404 Not Found' surl = dec(aUrl)#.replace('//', '').replace('/', os.path.sep) if surl[0:2] == '//': surl = surl[2:] if surl[0] == '/': surl = surl[1:] p = os.path.join(STATICRESOURCE_DIR , surl) isBin = False ext = os.path.splitext(p)[1] if '.' in surl: ext = surl[surl.rindex('.'):] else: ext = os.path.splitext(p)[1] print('handle_static p=%s' % p) if len(ext)>0: if gConfig['mime_type'].has_key(ext): if 'image/' in gConfig['mime_type'][ext]: isBin = True if '/octet-stream' in gConfig['mime_type'][ext]: isBin = True if '/pdf' in gConfig['mime_type'][ext]: isBin = True contenttype = gConfig['mime_type'][ext] if ext == '.js': if not os.path.exists(p): p = os.path.join(STATICRESOURCE_JS_DIR, aUrl[aUrl.rindex('/')+1:]) elif ext == '.css': if not os.path.exists(p): p = os.path.join(STATICRESOURCE_CSS_DIR, aUrl[aUrl.rindex('/')+1:]) elif 'image/' in gConfig['mime_type'][ext]: if not os.path.exists(p): p = os.path.abspath(os.path.join(STATICRESOURCE_IMG_DIR, aUrl[aUrl.rindex('/')+1:])) if not os.path.exists(p): p = os.path.join(STATICRESOURCE_DIR , aUrl) #p = os.path.abspath(p) p = dec(p) if os.path.exists(p): statuscode = '200 OK' mode = 'r' if isBin: mode = 'rb' with open(p, mode) as f: f1 = gevent.fileobject.FileObjectThread(f, mode) body = f1.read() else: statuscode = '404 Not Found' body = '404 Not Found' else: contenttype = 'application/octet-stream' if os.path.exists(p): statuscode = '200 OK' with open(p, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') body = f1.read() else: if ext == '.3gp': id = surl[surl.rindex('/') + 1:] id = id.replace('.3gp', '') fn = get_voice_file_latest(id) if fn: with open(os.path.join(UPLOAD_VOICE_DIR, fn), 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') body = f1.read() statuscode = '200 OK' else: contenttype = 'text/plain;charset=' + ENCODING statuscode = '500 Internal Server Error' body = '500 Internal Server Error' headers = {} headers['Content-Type'] = str(contenttype) return statuscode, headers, body def handle_wfs_GetCapabilities(params): headers = {} headers['Content-Type'] = 'text/xml;charset=' + ENCODING s = create_wfs_GetCapabilities() return '200 OK', headers, s def handle_wfs_GetFeature(params): headers = {} headers['Content-Type'] = 'text/xml;charset=' + ENCODING s = create_wfs_GetFeature() return '200 OK', headers, s def create_wfs_GetCapabilities(): namespace = {'ows':"http://www.opengis.net/ows", 'ogc':"http://www.opengis.net/ogc", 'wfs':"http://www.opengis.net/wfs", 'gml':"http://www.opengis.net/gml", 'xlink':"http://www.w3.org/1999/xlink", 'xsi':"http://www.w3.org/2001/XMLSchema-instance", 'schemaLocation':"http://www.opengis.net/wfs/1.1.0/WFS.xsd", 'my':"http://localhost:88/my" } wfs = '{%s}' % namespace['wfs'] ogc = '{%s}' % namespace['ogc'] ows = '{%s}' % namespace['ows'] xlink = '{%s}' % namespace['xlink'] root = etree.Element(wfs+"WFS_Capabilites", xmlns="http://www.opengis.net/wfs", nsmap=namespace, version="1.1.0", updateSequence="0") #ServiceIdentification ServiceIdentification = etree.SubElement(root, ows + "ServiceIdentification") Title = etree.SubElement(ServiceIdentification, ows + "Title").text = gConfig['wfs']['ServiceIdentification_Title'] ServiceType = etree.SubElement(ServiceIdentification, ows + "ServiceType").text = 'WFS' ServiceTypeVersion = etree.SubElement(ServiceIdentification, ows + "ServiceTypeVersion").text = '1.1.0' #OperationsMetadata OperationsMetadata = etree.SubElement(root, ows + "OperationsMetadata") Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="GetCapabilities") DCP= etree.SubElement(Operation, ows + "DCP") HTTP= etree.SubElement(DCP, ows + "HTTP") href = xlink + 'href' Get= etree.SubElement(HTTP, ows + "Get", {href:gConfig['wfs']['url']}) #Constraint= etree.SubElement(Get, ows + "Constraint", name="GetEncoding") #AllowedValues= etree.SubElement(Constraint, ows + "AllowedValues") #Value= etree.SubElement(AllowedValues, ows + "Value").text = 'KVP' #Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="GetTile") #DCP= etree.SubElement(Operation, ows + "DCP") #HTTP= etree.SubElement(DCP, ows + "HTTP") #Get= etree.SubElement(HTTP, ows + "Get", {href:gConfig['wmts']['url']}) Parameter = etree.SubElement(Operation, ows + "Parameter", name="AcceptVersions") Value = etree.SubElement(Parameter, ows + "Value").text = "1.1.0" Value = etree.SubElement(Parameter, ows + "Value").text = "1.0.0" Parameter = etree.SubElement(Operation, ows + "Parameter", name="AcceptFormats") Value = etree.SubElement(Parameter, ows + "Value").text = "text/xml" Parameter = etree.SubElement(Operation, ows + "Parameter", name="Sections") Value = etree.SubElement(Parameter, ows + "Value").text = "ServiceIdentification" Value = etree.SubElement(Parameter, ows + "Value").text = "OperationsMetadata" Value = etree.SubElement(Parameter, ows + "Value").text = "FeatureTypeList" Value = etree.SubElement(Parameter, ows + "Value").text = "ServesGMLObjectTypeList" Value = etree.SubElement(Parameter, ows + "Value").text = "SupportsGMLObjectTypeList" Value = etree.SubElement(Parameter, ows + "Value").text = "Filter_Capabilities" Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="DescribeFeatureType") DCP= etree.SubElement(Operation, ows + "DCP") HTTP= etree.SubElement(DCP, ows + "HTTP") Get= etree.SubElement(HTTP, ows + "Get", {href:gConfig['wfs']['url']})#+'/wfs.cgi?'}) Post= etree.SubElement(HTTP, ows + "Post", {href:gConfig['wfs']['url']})#+'/wfs.cgi'}) Parameter = etree.SubElement(Operation, ows + "Parameter", name="outputFormat") Value = etree.SubElement(Parameter, ows + "Value").text = "text/xml; subtype=gml/3.1.1" Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="GetFeature") DCP= etree.SubElement(Operation, ows + "DCP") HTTP= etree.SubElement(DCP, ows + "HTTP") Get= etree.SubElement(HTTP, ows + "Get", {href:gConfig['wfs']['url']})#+'/wfs.cgi?'}) Post= etree.SubElement(HTTP, ows + "Post", {href:gConfig['wfs']['url']})#+'/wfs.cgi'}) Parameter = etree.SubElement(Operation, ows + "Parameter", name="resultType") Value = etree.SubElement(Parameter, ows + "Value").text = "results" Value = etree.SubElement(Parameter, ows + "Value").text = "hits" Parameter = etree.SubElement(Operation, ows + "Parameter", name="outputFormat") Value = etree.SubElement(Parameter, ows + "Value").text = "text/xml; subtype=gml/3.1.1" Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="GetFeatureWithLock") DCP= etree.SubElement(Operation, ows + "DCP") HTTP= etree.SubElement(DCP, ows + "HTTP") Post= etree.SubElement(HTTP, ows + "Post", {href:gConfig['wfs']['url']}) Parameter = etree.SubElement(Operation, ows + "Parameter", name="resultType") Value = etree.SubElement(Parameter, ows + "Value").text = "results" Value = etree.SubElement(Parameter, ows + "Value").text = "hits" Parameter = etree.SubElement(Operation, ows + "Parameter", name="outputFormat") Value = etree.SubElement(Parameter, ows + "Value").text = "text/xml; subtype=gml/3.1.1" Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="GetGMLObject") DCP= etree.SubElement(Operation, ows + "DCP") HTTP= etree.SubElement(DCP, ows + "HTTP") Post= etree.SubElement(HTTP, ows + "Post", {href:gConfig['wfs']['url']}) Parameter = etree.SubElement(Operation, ows + "Parameter", name="outputFormat") Value = etree.SubElement(Parameter, ows + "Value").text = "text/xml; subtype=gml/3.1.1" Value = etree.SubElement(Parameter, ows + "Value").text = "text/xhtml" Parameter = etree.SubElement(Operation, ows + "Parameter", name="LocalTraverseXLinkScope") Value = etree.SubElement(Parameter, ows + "Value").text = "0" Value = etree.SubElement(Parameter, ows + "Value").text = "*" Parameter = etree.SubElement(Operation, ows + "Parameter", name="RemoteTraverseXLinkScope") Value = etree.SubElement(Parameter, ows + "Value").text = "0" Value = etree.SubElement(Parameter, ows + "Value").text = "*" Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="LockFeature") DCP= etree.SubElement(Operation, ows + "DCP") HTTP= etree.SubElement(DCP, ows + "HTTP") Post= etree.SubElement(HTTP, ows + "Post", {href:gConfig['wfs']['url']}) Parameter = etree.SubElement(Operation, ows + "Parameter", name="lockAction") Value = etree.SubElement(Parameter, ows + "Value").text = "ALL" Value = etree.SubElement(Parameter, ows + "Value").text = "SOME" Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="Transaction") DCP= etree.SubElement(Operation, ows + "DCP") HTTP= etree.SubElement(DCP, ows + "HTTP") Post= etree.SubElement(HTTP, ows + "Post", {href:gConfig['wfs']['url']}) Parameter = etree.SubElement(Operation, ows + "Parameter", name="inputFormat") Value = etree.SubElement(Parameter, ows + "Value").text = "text/xml; subtype=gml/3.1.1" Parameter = etree.SubElement(Operation, ows + "Parameter", name="idgen") Value = etree.SubElement(Parameter, ows + "Value").text = "GenerateNew" Value = etree.SubElement(Parameter, ows + "Value").text = "UseExisting" Value = etree.SubElement(Parameter, ows + "Value").text = "ReplaceDuplicate" Parameter = etree.SubElement(Operation, ows + "Parameter", name="releaseAction") Value = etree.SubElement(Parameter, ows + "Value").text = "ALL" Value = etree.SubElement(Parameter, ows + "Value").text = "SOME" Parameter = etree.SubElement(OperationsMetadata, ows + "Parameter", name="srsName") Value = etree.SubElement(Parameter, ows + "Value").text = "EPSG:4326" Constraint = etree.SubElement(OperationsMetadata, ows + "Constraint", name="DefaultMaxFeatures") Value = etree.SubElement(Constraint, ows + "Value").text = "10000" Constraint = etree.SubElement(OperationsMetadata, ows + "Constraint", name="LocalTraverseXLinkScope") Value = etree.SubElement(Constraint, ows + "Value").text = "0" Value = etree.SubElement(Constraint, ows + "Value").text = "*" Constraint = etree.SubElement(OperationsMetadata, ows + "Constraint", name="RemoteTraverseXLinkScope") Value = etree.SubElement(Constraint, ows + "Value").text = "0" Value = etree.SubElement(Constraint, ows + "Value").text = "*" Constraint = etree.SubElement(OperationsMetadata, ows + "Constraint", name="DefaultLockExpiry") Value = etree.SubElement(Constraint, ows + "Value").text = "5" FeatureTypeList = etree.SubElement(root, wfs + "FeatureTypeList") FeatureType = etree.SubElement(FeatureTypeList, wfs + "FeatureType") Name = etree.SubElement(FeatureType, wfs + "Name").text = "PointType" Title = etree.SubElement(FeatureType, wfs + "Title").text = "Point Type" DefaultSRS = etree.SubElement(FeatureType, wfs + "DefaultSRS").text = "EPSG:4326" OutputFormats = etree.SubElement(FeatureType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" WGS84BoundingBox = etree.SubElement(FeatureType, ows + "WGS84BoundingBox") LowerCorner = etree.SubElement(WGS84BoundingBox, ows + "LowerCorner").text = "-180 -90" UpperCorner = etree.SubElement(WGS84BoundingBox, ows + "UpperCorner").text = "180 90" ServesGMLObjectTypeList = etree.SubElement(root, wfs + "ServesGMLObjectTypeList") GMLObjectType = etree.SubElement(ServesGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "PointType" Title = etree.SubElement(GMLObjectType, wfs + "Title").text = "Point Type" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" SupportsGMLObjectTypeList = etree.SubElement(root, wfs + "SupportsGMLObjectTypeList") GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:AbstractGMLFeatureType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:PointType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:LineStringType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:PolygonType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:MultiPointType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:MultiCurveType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:MultiSurfaceType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:AbstractMetaDataType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" GMLObjectType = etree.SubElement(SupportsGMLObjectTypeList, wfs + "GMLObjectType") Name = etree.SubElement(GMLObjectType, wfs + "Name").text = "gml:AbstractTopologyType" OutputFormats = etree.SubElement(GMLObjectType, wfs + "OutputFormats") Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xml; subtype=gml/3.1.1" Format = etree.SubElement(OutputFormats, wfs + "Format").text = "text/xhmtl" Filter_Capabilities = etree.SubElement(root, ogc + "Filter_Capabilities") Spatial_Capabilities = etree.SubElement(Filter_Capabilities, ogc + "Spatial_Capabilities") GeometryOperands = etree.SubElement(Spatial_Capabilities, ogc + "GeometryOperands") GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Envelope" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Point" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:LineString" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Polygon" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:ArcByCenterPoint" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:CircleByCenterPoint" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Arc" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Circle" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:ArcByBulge" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Bezier" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Clothoid" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:CubicSpline" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Geodesic" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:OffsetCurve" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Triangle" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:PolyhedralSurface" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:TriangulatedSurface" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Tin" GeometryOperand = etree.SubElement(GeometryOperands, ogc + "GeometryOperand").text = "gml:Solid" SpatialOperators = etree.SubElement(Spatial_Capabilities, ogc + "SpatialOperators") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="BBOX") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Equals") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Disjoint") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Intersects") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Touches") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Crosses") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Within") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Contains") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Overlaps") SpatialOperator = etree.SubElement(GeometryOperands, ogc + "SpatialOperator", name="Beyond") Scalar_Capabilities = etree.SubElement(Filter_Capabilities, ogc + "Scalar_Capabilities") LogicalOperators = etree.SubElement(Scalar_Capabilities, ogc + "LogicalOperators") ComparisonOperators = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperators") ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "LessThan" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "GreaterThan" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "LessThanEqualTo" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "GreaterThanEqualTo" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "EqualTo" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "NotEqualTo" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "Like" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "Between" ComparisonOperator = etree.SubElement(Scalar_Capabilities, ogc + "ComparisonOperator").text = "NullCheck" ArithmeticOperators = etree.SubElement(Scalar_Capabilities, ogc + "ArithmeticOperators") SimpleArithmetic = etree.SubElement(ArithmeticOperators, ogc + "SimpleArithmetic") Functions = etree.SubElement(ArithmeticOperators, ogc + "Functions") FunctionNames = etree.SubElement(Functions, ogc + "FunctionNames") FunctionName = etree.SubElement(FunctionNames, ogc + "FunctionName", nArgs="1").text = "MIN" FunctionName = etree.SubElement(FunctionNames, ogc + "FunctionName", nArgs="1").text = "MAX" FunctionName = etree.SubElement(FunctionNames, ogc + "FunctionName", nArgs="1").text = "SIN" FunctionName = etree.SubElement(FunctionNames, ogc + "FunctionName", nArgs="1").text = "COS" FunctionName = etree.SubElement(FunctionNames, ogc + "FunctionName", nArgs="1").text = "TAN" Id_Capabilities = etree.SubElement(Filter_Capabilities, ogc + "Id_Capabilities") EID = etree.SubElement(Id_Capabilities, ogc + "EID") FID = etree.SubElement(Id_Capabilities, ogc + "FID") #WGS84BoundingBox = etree.SubElement(Layer, ows + "WGS84BoundingBox") #SupportedCRS = etree.SubElement(TileMatrixSet, ows + "SupportedCRS" ).text = gConfig['wmts']['SupportedCRS'] ret = etree.tostring(root, pretty_print=True, xml_declaration=True, encoding=ENCODING) print(ret) return ret def handle_wmts_GetCapabilities(params={}): headers = {} mimetype = 'text/xml;charset=' + ENCODING s = '' if params.has_key('TILETYPE') and params.has_key('SUBTYPE'): s = create_wmts_GetCapabilities(params['TILETYPE'], params['SUBTYPE']) return mimetype, s def create_wmts_GetCapabilities(tiletype, subtype): global gConfig #''' #namespace = {'ows':"http://www.opengis.net/ows/1.1", 'xlink':"http://www.w3.org/1999/xlink", 'xsi':"http://www.w3.org/2001/XMLSchema-instance", 'gml':"http://www.opengis.net/gml", 'schemaLocation':"http://schemas.opengis.net/wmts/1.0/wmtsGetCapabilities_response.xsd"} #ows = '{%s}' % namespace['ows'] #xlink = '{%s}' % namespace['xlink'] #root = etree.Element("Capabilities", xmlns="http://www.opengis.net/wmts/1.0", nsmap=namespace, version="1.0.0") ##ServiceIdentification #ServiceIdentification = etree.SubElement(root, ows + "ServiceIdentification") #Title = etree.SubElement(ServiceIdentification, ows + "Title").text = gConfig['webgis']['wmts']['ServiceIdentification_Title'] #ServiceType = etree.SubElement(ServiceIdentification, ows + "ServiceType").text = 'OGC WMTS' #ServiceTypeVersion = etree.SubElement(ServiceIdentification, ows + "ServiceTypeVersion").text = '1.0.0' ##OperationsMetadata #OperationsMetadata = etree.SubElement(root, ows + "OperationsMetadata") #Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="GetCapabilities") #DCP= etree.SubElement(Operation, ows + "DCP") #HTTP= etree.SubElement(DCP, ows + "HTTP") #href = xlink + 'href' #Get= etree.SubElement(HTTP, ows + "Get", {href:gConfig['webgis']['wmts']['url'] + '?'}) #Constraint= etree.SubElement(Get, ows + "Constraint", name="GetEncoding") #AllowedValues= etree.SubElement(Constraint, ows + "AllowedValues") #Value= etree.SubElement(AllowedValues, ows + "Value").text = 'KVP' #Operation= etree.SubElement(OperationsMetadata, ows + "Operation", name="GetTile") #DCP= etree.SubElement(Operation, ows + "DCP") #HTTP= etree.SubElement(DCP, ows + "HTTP") #Get= etree.SubElement(HTTP, ows + "Get", {href:gConfig['webgis']['wmts']['url'] + '?'}) ##Contents #Contents = etree.SubElement(root, "Contents") #Layer = etree.SubElement(Contents, "Layer") #Title = etree.SubElement(Layer, ows + "Title").text = gConfig['webgis']['wmts']['Layer_Title'] #WGS84BoundingBox = etree.SubElement(Layer, ows + "WGS84BoundingBox") #LowerCorner = etree.SubElement(WGS84BoundingBox, ows + "LowerCorner").text = gConfig['webgis']['wmts']['WGS84BoundingBox']['LowerCorner'] #UpperCorner = etree.SubElement(WGS84BoundingBox, ows + "UpperCorner").text = gConfig['webgis']['wmts']['WGS84BoundingBox']['UpperCorner'] #Identifier = etree.SubElement(Layer, ows + "Identifier").text = gConfig['webgis']['wmts']['Layer_Identifier'] #Style = etree.SubElement(Layer, "Style", isDefault="true") #Title = etree.SubElement(Style, ows + "Title" ).text = 'Default' #Identifier = etree.SubElement(Style, ows + "Identifier" ).text = 'default' #Format = etree.SubElement(Layer, "Format" ).text = gConfig['mime_type'][gConfig['wmts']['format']] #TileMatrixSetLink = etree.SubElement(Layer, "TileMatrixSetLink" ) #TileMatrixSet = etree.SubElement(TileMatrixSetLink, "TileMatrixSet" ).text = gConfig['webgis']['wmts']['TileMatrixSet'] #TileMatrixSet = etree.SubElement(Contents, "TileMatrixSet") #Identifier = etree.SubElement(TileMatrixSet, ows + "Identifier" ).text = gConfig['webgis']['wmts']['TileMatrixSet'] #SupportedCRS = etree.SubElement(TileMatrixSet, ows + "SupportedCRS" ).text = gConfig['webgis']['wmts']['SupportedCRS'] #WellKnownScaleSet = etree.SubElement(TileMatrixSet, "WellKnownScaleSet" ).text = gConfig['webgis']['wmts']['WellKnownScaleSet'] #max_zoom_level, min_zoom_level = int(gConfig['wmts']['max_zoom_level']), int(gConfig['webgis']['wmts']['min_zoom_level']) #if max_zoom_level < min_zoom_level: #max_zoom_level, min_zoom_level = min_zoom_level, max_zoom_level ##zoomlist = range(max_zoom_level,min_zoom_level, -1) #zoomlist = range(min_zoom_level, max_zoom_level+1, 1) #pixelSize = float(gConfig['webgis']['wmts']['pixelSize']) #tileWidth,tileHeight = int(gConfig['webgis']['wmts']['TileWidth']), int(gConfig['webgis']['wmts']['TileHeight']) #minLonLat,maxLonLat = (float(gConfig['webgis']['wmts']['minLonLat'][0]), float(gConfig['webgis']['wmts']['minLonLat'][1])), (float(gConfig['webgis']['wmts']['maxLonLat'][0]), float(gConfig['webgis']['wmts']['maxLonLat'][1])) ##tileMatrixMinX, tileMatrixMaxX = (26.0, 102.0), (26.0, 104.0) ##tileMatrixMinY, tileMatrixMaxY = (24.0, 102.0), (26.0, 102.0) #tileMatrixMinX, tileMatrixMaxX = (maxLonLat[1], minLonLat[0]), (maxLonLat[1], maxLonLat[0]) #tileMatrixMinY, tileMatrixMaxY = (minLonLat[1], minLonLat[0]), (maxLonLat[1], minLonLat[0]) #metersPerUnit = 0.0 #if gConfig['webgis']['wmts'].has_key('metersPerUnit'): #metersPerUnit = float(gConfig['webgis']['wmts']['metersPerUnit']) #else: #metersPerUnitX = mapUtils.countDistanceFromLatLon(tileMatrixMaxX , tileMatrixMinX)/2*1000 ##print('metersPerUnitX=%f' % metersPerUnitX) #metersPerUnitY = mapUtils.countDistanceFromLatLon(tileMatrixMaxY , tileMatrixMinY)/2*1000 ##print('metersPerUnitY=%f' % metersPerUnitY) #metersPerUnit = metersPerUnitY ##print('metersPerUnit=%f' % metersPerUnit) #for i in zoomlist: ##matrixHeight = matrixWidth = mapUtils.tiles_on_level(i) #matrixHeight = matrixWidth = mapUtils.tiles_on_level(max_zoom_level-(i-1)) ##print('%d=%d' % (i , matrixHeight)) ##scaleDenominatorX = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxX , tileMatrixMinX) * 1000./(tileWidth * matrixWidth) ##scaleDenominatorY = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxY , tileMatrixMinY) * 1000./(tileHeight * matrixHeight) ##print('scaleDenominatorX=%f, scaleDenominatorY=%f' % (scaleDenominatorX, scaleDenominatorY)) ##scaleDenominator = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxY , tileMatrixMinY) * 1000. /(tileHeight * matrixHeight) #scaleDenominator = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxY , tileMatrixMinY) /(tileHeight * matrixHeight) #TileMatrix = etree.SubElement(TileMatrixSet, "TileMatrix" ) ##Identifier = etree.SubElement(TileMatrix, ows + "Identifier" ).text = "ynsat_" + str(i) #Identifier = etree.SubElement(TileMatrix, ows + "Identifier" ).text = str(i) #ScaleDenominator = etree.SubElement(TileMatrix, "ScaleDenominator" ).text = '%.8f' % scaleDenominator #TopLeftCorner = etree.SubElement(TileMatrix, "TopLeftCorner" ).text = ['webgis']['wmts']['TopLeftCorner'] #TileWidth = etree.SubElement(TileMatrix, "TileWidth" ).text = str(tileWidth) #TileHeight = etree.SubElement(TileMatrix, "TileHeight" ).text = str(tileHeight) #MatrixWidth = etree.SubElement(TileMatrix, "MatrixWidth" ).text = str(matrixWidth) #MatrixHeight = etree.SubElement(TileMatrix, "MatrixHeight" ).text = str(matrixHeight) #ret = etree.tostring(root, pretty_print=True, xml_declaration=True, encoding=ENCODING) #print(ret) #return ret #''' ret = '''<?xml version="1.0" encoding="UTF-8"?> <Capabilities xmlns="http://www.opengis.net/wmts/1.0" xmlns:ows="http://www.opengis.net/ows/1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:gml="http://www.opengis.net/gml" xsi:schemaLocation="http://www.opengis.net/wmts/1.0 http://schemas.opengis.net/wmts/1.0/wmtsGetCapabilities_response.xsd" version="1.0.0"> <ows:ServiceIdentification> <ows:Title>%s</ows:Title> <ows:ServiceType>OGC WMTS</ows:ServiceType> <ows:ServiceTypeVersion>1.0.0</ows:ServiceTypeVersion> </ows:ServiceIdentification> <ows:OperationsMetadata> <ows:Operation name="GetCapabilities"> <ows:DCP> <ows:HTTP> <ows:Get xlink:href="http://%s:%s/wmts?REQUEST=getcapabilities"> <ows:Constraint name="GetEncoding"> <ows:AllowedValues> <ows:Value>KVP</ows:Value> </ows:AllowedValues> </ows:Constraint> </ows:Get> </ows:HTTP> </ows:DCP> </ows:Operation> <ows:Operation name="GetTile"> <ows:DCP> <ows:HTTP> <ows:Get xlink:href="http://%s:%s/wmts?REQUEST=gettile"> <ows:Constraint name="GetEncoding"> <ows:AllowedValues> <ows:Value>KVP</ows:Value> </ows:AllowedValues> </ows:Constraint> </ows:Get> </ows:HTTP> </ows:DCP> </ows:Operation> </ows:OperationsMetadata> <Contents> <Layer> <ows:Title>%s</ows:Title> <ows:WGS84BoundingBox> <ows:LowerCorner>-180.0 -90.0</ows:LowerCorner> <ows:UpperCorner>180.0 90.0</ows:UpperCorner> </ows:WGS84BoundingBox> <ows:Identifier>%s</ows:Identifier> <Style isDefault="true"> <ows:Identifier>_null</ows:Identifier> </Style> <Format>%s</Format> <TileMatrixSetLink> <TileMatrixSet>%s</TileMatrixSet> </TileMatrixSetLink> </Layer> <TileMatrixSet> <ows:Identifier>%s</ows:Identifier> <ows:SupportedCRS>urn:ogc:def:crs:EPSG::900913</ows:SupportedCRS> <TileMatrix> <ows:Identifier>0</ows:Identifier> <ScaleDenominator>5.590822639508929E8</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>1</MatrixWidth> <MatrixHeight>1</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>1</ows:Identifier> <ScaleDenominator>2.7954113197544646E8</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>2</MatrixWidth> <MatrixHeight>2</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>2</ows:Identifier> <ScaleDenominator>1.3977056598772323E8</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>4</MatrixWidth> <MatrixHeight>4</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>3</ows:Identifier> <ScaleDenominator>6.988528299386162E7</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>8</MatrixWidth> <MatrixHeight>8</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>4</ows:Identifier> <ScaleDenominator>3.494264149693081E7</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>16</MatrixWidth> <MatrixHeight>16</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>5</ows:Identifier> <ScaleDenominator>1.7471320748465404E7</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>32</MatrixWidth> <MatrixHeight>32</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>6</ows:Identifier> <ScaleDenominator>8735660.374232702</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>64</MatrixWidth> <MatrixHeight>64</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>7</ows:Identifier> <ScaleDenominator>4367830.187116351</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>128</MatrixWidth> <MatrixHeight>128</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>8</ows:Identifier> <ScaleDenominator>2183915.0935581755</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>256</MatrixWidth> <MatrixHeight>256</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>9</ows:Identifier> <ScaleDenominator>1091957.5467790877</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>512</MatrixWidth> <MatrixHeight>512</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>10</ows:Identifier> <ScaleDenominator>545978.7733895439</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>1024</MatrixWidth> <MatrixHeight>1024</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>11</ows:Identifier> <ScaleDenominator>272989.38669477194</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>2048</MatrixWidth> <MatrixHeight>2048</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>12</ows:Identifier> <ScaleDenominator>136494.69334738597</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>4096</MatrixWidth> <MatrixHeight>4096</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>13</ows:Identifier> <ScaleDenominator>68247.34667369298</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>8192</MatrixWidth> <MatrixHeight>8192</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>14</ows:Identifier> <ScaleDenominator>34123.67333684649</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>16384</MatrixWidth> <MatrixHeight>16384</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>15</ows:Identifier> <ScaleDenominator>17061.836668423246</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>32768</MatrixWidth> <MatrixHeight>32768</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>16</ows:Identifier> <ScaleDenominator>8530.918334211623</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>65536</MatrixWidth> <MatrixHeight>65536</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>17</ows:Identifier> <ScaleDenominator>4265.4591671058115</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>131072</MatrixWidth> <MatrixHeight>131072</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>18</ows:Identifier> <ScaleDenominator>2132.7295835529058</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>262144</MatrixWidth> <MatrixHeight>262144</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>19</ows:Identifier> <ScaleDenominator>1066.3647917764529</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>524288</MatrixWidth> <MatrixHeight>524288</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>20</ows:Identifier> <ScaleDenominator>533.1823958882264</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>1048576</MatrixWidth> <MatrixHeight>1048576</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>21</ows:Identifier> <ScaleDenominator>266.5911979441132</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>2097152</MatrixWidth> <MatrixHeight>2097152</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>22</ows:Identifier> <ScaleDenominator>133.2955989720566</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>4194304</MatrixWidth> <MatrixHeight>4194304</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>23</ows:Identifier> <ScaleDenominator>66.6477994860283</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>8388608</MatrixWidth> <MatrixHeight>8388608</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>24</ows:Identifier> <ScaleDenominator>33.32389974301415</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>16777216</MatrixWidth> <MatrixHeight>16777216</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>25</ows:Identifier> <ScaleDenominator>16.661949871507076</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>33554432</MatrixWidth> <MatrixHeight>33554432</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>26</ows:Identifier> <ScaleDenominator>8.330974935753538</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>67108864</MatrixWidth> <MatrixHeight>67108864</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>27</ows:Identifier> <ScaleDenominator>4.165487467876769</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>134217728</MatrixWidth> <MatrixHeight>134217728</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>28</ows:Identifier> <ScaleDenominator>2.0827437339383845</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>268435456</MatrixWidth> <MatrixHeight>268435456</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>29</ows:Identifier> <ScaleDenominator>1.0413718669691923</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>536870912</MatrixWidth> <MatrixHeight>536870912</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>30</ows:Identifier> <ScaleDenominator>0.5206859334845961</ScaleDenominator> <TopLeftCorner>-2.003750834E7 2.0037508E7</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>1073741824</MatrixWidth> <MatrixHeight>1073741824</MatrixHeight> </TileMatrix> </TileMatrixSet> </Contents> </Capabilities>''' % ( str(tiletype), str(gConfig['webgis']['wmts']['host']), str(gConfig['webgis']['wmts']['port']), str(gConfig['webgis']['wmts']['host']), str(gConfig['webgis']['wmts']['port']), str(subtype), str(subtype), str(gConfig['mime_type'][gConfig['webgis'][tiletype][subtype]['mimetype']]), str(subtype), str(subtype), ) #<ServiceMetadataURL xlink:href="http://%s:%s/wmts?REQUEST=getcapabilities"/> return ret def download_callback(*args, **kwargs): global gConfig, gMapTileCache, gSatTileCache, gTerrainCache global STATICRESOURCE_IMG_DIR zoom, col, row = args[1][2], args[1][0], args[1][1] root = os.path.abspath(gConfig['wmts']['tiles_map_root']) if args[2] == mapConst.LAYER_SAT: root = os.path.abspath(gConfig['wmts']['tiles_sat_root']) if args[2] == mapConst.LAYER_MAP: root = os.path.abspath(gConfig['wmts']['tiles_map_root']) p = os.path.join(root, str(zoom), str(col / 1024), str(col % 1024), str(row / 1024), str(row % 1024) + gConfig['wmts']['format'] ) if os.path.exists(p): key = '%d-%d-%d' % (zoom, col, row) with open(p, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') if args[2] == mapConst.LAYER_SAT: gSatTileCache[key] = f1.read() if args[2] == mapConst.LAYER_MAP: gMapTileCache[key] = f1.read() def handle_wmts_GetTile(params): global gConfig mimetype, ret = None, None tiletype = 'webgis/tiles' arr = tiletype.split('/') subtype = None if params.has_key('TILEMATRIXSET'): subtype = params['TILEMATRIXSET'] level, y, x = None, None, None if params.has_key('TILEMATRIX'): level = int(params['TILEMATRIX']) if params.has_key('TILEROW'): y = int(params['TILEROW']) if params.has_key('TILECOL'): x = int(params['TILECOL']) if subtype is not None and level is not None and y is not None and x is not None: tilepath = '%d/%d/%d%s' % (level, x, y, str(gConfig['webgis'][arr[1]][subtype])) d = {} d['x'] = str(x) d['y'] = str(y) d['level'] = str(level) mimetype, ret = db_util.gridfs_tile_find(tiletype, subtype, tilepath, d) return mimetype, ret def handle_tiles(environ): global gConfig, gTileCache global STATICRESOURCE_IMG_DIR def get_blank_tile(image_type): blank_tile = '' picpath = os.path.join(STATICRESOURCE_IMG_DIR, gConfig['webgis']['tiles'][image_type]['missing']) with open(picpath, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') blank_tile = f1.read() return blank_tile headers = {} #path_info = environ['PATH_INFO'] #d = cgi.parse(None, environ) querydict, buf = get_querydict_by_GET_POST(environ) ret = None mimetype = 'image/png' image_type = None #key = path_info.replace('/tiles/','') if querydict.has_key('image_type') and querydict.has_key('x') and querydict.has_key('y') and querydict.has_key('level'): image_type = querydict['image_type'] x, y, level = querydict['x'], querydict['y'], querydict['level'] tilepath = '%s/%s/%s%s' % (level, x, y, gConfig['webgis']['tiles'][image_type]['mimetype']) if not gTileCache.has_key(image_type): gTileCache[image_type] = {} if not gTileCache[image_type].has_key('missing'): gTileCache[image_type]['missing'] = get_blank_tile(image_type) if gTileCache[image_type].has_key(tilepath): ret = gTileCache[image_type][tilepath] else: try: mimetype, ret = db_util.gridfs_tile_find('webgis/tiles', image_type, tilepath, querydict) gTileCache[image_type][tilepath] = ret except: print(sys.exc_info()) ret = gTileCache[image_type]['missing'] else: if image_type: if not gTileCache.has_key(image_type): gTileCache[image_type] = {} if not gTileCache[image_type].has_key('missing'): gTileCache[image_type]['missing'] = get_blank_tile(image_type) ret = gTileCache[image_type]['missing'] else: ret = get_blank_tile('arcgis_sat') if ret is None: ret = gTileCache[image_type]['missing'] headers['Content-Type'] = mimetype return '200 OK', headers, ret def handle_terrain(environ): global gConfig, gTileCache path_info = environ['PATH_INFO'] #d = cgi.parse(None, environ) querydict, buf = get_querydict_by_GET_POST(environ) ret = None headers = {} mimetype = str('application/octet-stream') key = path_info.replace('/terrain/','') terrain_type = 'quantized_mesh' if querydict.has_key('terrain_type'): terrain_type = querydict['terrain_type'] if not gTileCache.has_key(terrain_type): gTileCache[terrain_type] = {} if gTileCache[terrain_type].has_key(key): ret = gTileCache[terrain_type][key] else: tilepath = key if tilepath == 'layer.json': mimetype, ret = db_util.gridfs_tile_find('webgis/terrain', terrain_type, tilepath, querydict) gTileCache[terrain_type][key] = ret headers['Content-Type'] = mimetype return '200 OK', headers, ret else: print('tilepath:%s' % tilepath) mimetype, ret = db_util.gridfs_tile_find('webgis/terrain', terrain_type, tilepath, querydict) if ret: gTileCache[terrain_type][key] = ret headers['Content-Type'] = mimetype return '200 OK', headers, ret else: if not gTileCache[terrain_type].has_key('missing'): print('reading mongo blank_terrain...') tilepath = gConfig['webgis']['terrain'][terrain_type]['missing'] #'0/0/0.terrain' mimetype, ret = db_util.gridfs_tile_find('webgis/terrain', terrain_type, tilepath, querydict) gTileCache[terrain_type]['missing'] = ret ret = gTileCache[terrain_type]['missing'] headers['Content-Type'] = mimetype return '200 OK', headers, ret def handle_terrain1(environ): global gConfig, gMapTileCache, gSatTileCache, gTerrainCache path_info = environ['PATH_INFO'] #d = cgi.parse(None, environ) ret = None headers = {} key = path_info.replace('/terrain/','') if gTerrainCache.has_key(key): ret = gTerrainCache[key] else: arr = key.split('/') tilepath = gConfig['webgis']['terrain']['tiles_dir'] for i in arr: tilepath = os.path.join(tilepath, i) tilepath = os.path.abspath(tilepath) ret = '' if os.path.exists(tilepath): #print('reading %s...' % tilepath) with open(tilepath, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') ret = f1.read() gTerrainCache[key] = ret else: if gTerrainCache.has_key('missing'): ret = gTerrainCache['missing'] else: print('reading blank_terrain...') with open(gConfig['webgis']['terrain']['blank_terrain'], 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') ret = f1.read() gTerrainCache['missing'] = ret headers['Content-Type'] = 'application/octet-stream' return '200 OK', headers, ret def handle_arcgistile(environ): global gConfig, gMapTileCache, gSatTileCache global STATICRESOURCE_IMG_DIR ret = None headers = {} dd = cgi.parse(None, environ) d = {} for k in dd.keys(): d[k] = dd[k][0] if d.has_key('zoom') and d.has_key('col') and d.has_key('row'): zoom = int(d['zoom']) col = int(d['col']) row = int(d['row']) key = '%d-%d-%d' % (zoom, col, row) if not gSatTileCache.has_key(key): try: #picpath = os.path.join(gConfig['wmts']['arcgis_tiles_root'], '_alllayers', 'L%02d' % zoom, 'R%08x' % row, 'C%08x%s' % (col, gConfig['wmts']['format'])) picpath = os.path.join(gConfig['webgis']['wmts']['arcgis_tiles_root'], '%d' % zoom, '%d' % col, '%d%s' % (row, gConfig['webgis']['wmts']['format'])) print('%s, %s' % (key, picpath)) with open(picpath, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') gSatTileCache[key] = f1.read() except: foundit = False if not foundit: key = 'missing' if not gSatTileCache.has_key(key): picpath = os.path.join(STATICRESOURCE_IMG_DIR, gConfig['webgis']['wmts']['missing']) with open(picpath, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') gSatTileCache[key] = f1.read() ret = gSatTileCache[key] elif d.has_key('is_esri') : key = environ['PATH_INFO'].replace('/arcgistile/','') if not gSatTileCache.has_key(key): try: #picpath = os.path.join(gConfig['webgis']['wmts']['arcgis_tiles_root'], '_alllayers', 'L%02d' % zoom, 'R%08x' % row, 'C%08x%s' % (col, gConfig['webgis']['wmts']['format'])) picpath = os.path.join(gConfig['webgis']['wmts']['arcgis_tiles_root'], key) print('%s, %s' % (key, picpath)) with open(picpath, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') gSatTileCache[key] = f1.read() except: foundit = False if not foundit: key = 'missing' if not gSatTileCache.has_key(key): picpath = os.path.join(STATICRESOURCE_IMG_DIR, gConfig['webgis']['wmts']['missing']) with open(picpath, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') gSatTileCache[key] = f1.read() ret = gSatTileCache[key] else: if not gSatTileCache.has_key('missing'): picpath = os.path.join(STATICRESOURCE_IMG_DIR, gConfig['webgis']['wmts']['missing']) with open(picpath, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') gSatTileCache['missing'] = f1.read() ret = gSatTileCache['missing'] headers['Content-Type'] = str(gConfig['mime_type'][gConfig['webgis']['wmts']['format']]) return '200 OK', headers, ret def handle_wmts(environ): dd = cgi.parse(None, environ) d = {} headers = {} mimetype, ret = None, None for k in dd.keys(): d[k.upper()] = dd[k][0] ret, mimetype = None, None if d.has_key('REQUEST') : d['REQUEST'] = d['REQUEST'].replace('/1.0.0/WMTSCapabilities.xml', '') if d.has_key('TILETYPE'): d['TILETYPE'] = d['TILETYPE'].replace('/1.0.0/WMTSCapabilities.xml', '') if d.has_key('SUBTYPE'): d['SUBTYPE'] = d['SUBTYPE'].replace('/1.0.0/WMTSCapabilities.xml', '') if d['REQUEST'].lower() in ['getcapabilities']: mimetype, ret = handle_wmts_GetCapabilities(d) elif d['REQUEST'].lower() in ['gettile']: mimetype, ret = handle_wmts_GetTile(d) headers['Content-Type'] = mimetype return '200 OK', headers, ret def handle_cluster(environ): global gConfig headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING if int(environ['SERVER_PORT'])==int(gConfig['cluster']['manager_port']) and gConfig['cluster']['enable_cluster'] in ['true','True']: op = '' if environ['PATH_INFO']=='/create_cluster': if len(get_pid_from_name('nginx'))==0: op = 'create ok' create_cluster() elif environ['PATH_INFO']=='/kill_cluster': op = 'kill ok' kill_cluster() #print(environ) return '200 OK', headers, json.dumps({'result':op}) else: return '200 OK', headers, json.dumps({'result':'cluster is disabled or not by manager'}) def handle_test(environ): s = '测试OK' headers = {} d = cgi.parse(None, environ) #print(d) headers['Content-Type'] = 'text/json;charset=' + ENCODING #print(s) return '200 OK', headers, s def get_condition_from_dict(dct): cond = '1=1' for k in dct.keys(): if k in ['voltage', 'line_id', 'id', 'tower_id', 'start_tower_id', 'end_tower_id', 'model_code', 'side', 'position']: if k == 'side': if dct[k]=='1': cond += " AND %s='%s'" % (k, u'正') elif dct[k]=='0': cond += " AND %s='%s'" % (k, u'反') else: cond += " AND %s='%s'" % (k, dct[k]) else: cond += " AND %s=%s" % (k, dct[k]) #print(cond) return cond def mongo_get_condition_from_dict(dct): ret = {} for k in dct.keys(): ret[k] = dct[k][0] print(ret) return ret def handle_get_method(environ): global ENCODING global STATICRESOURCE_DIR, UPLOAD_PHOTOS_DIR, UPLOAD_VOICE_DIR global gConfig ret = {} s = '' querydict, buf = get_querydict_by_GET_POST(environ) isgrid = False area = '' data = {} headers = {} clienttype = 'default' if querydict.has_key('clienttype'): clienttype = querydict['clienttype'] if querydict.has_key('grid'): isgrid = True if querydict.has_key('area'): area = querydict['area'] # if querydict.has_key('geojson'): # if querydict['geojson']=='line_towers': # data = db_util.gen_geojson_by_lines(area) # s = json.dumps(data, ensure_ascii=True, indent=4) # elif querydict['geojson']=='tracks': # data = db_util.gen_geojson_tracks(area) # s = json.dumps(data, ensure_ascii=True, indent=4) # else: # k = querydict['geojson'] # p = os.path.abspath(STATICRESOURCE_DIR) # if k == 'potential_risk': # k = 'geojson_%s_%s' % (k, area) # p = os.path.join(p, 'geojson', area, '%s.json' % k) # #print(p) # if os.path.exists(p): # with open(p) as f: # f1 = gevent.fileobject.FileObjectThread(f, 'r') # s = f1.read() # else: # p = os.path.abspath(STATICRESOURCE_DIR) # p = os.path.join(p, 'geojson', '%s.json' % k) # if os.path.exists(p): # with open(p) as f: # f1 = gevent.fileobject.FileObjectThread(f, 'r') # s = f1.read() # # # # if querydict.has_key('table'): # table = querydict['table'] # dbtype = 'odbc' # if querydict.has_key('dbtype'): # dbtype = querydict['dbtype'] # # if dbtype == 'pg': # data = db_util.pg_get_records(table, get_condition_from_dict(querydict)) # else: # data = db_util.odbc_get_records(table, get_condition_from_dict(querydict), area) # if table in ['TABLE_TOWER']: # if querydict.has_key('line_id'): # data = db_util.odbc_get_sorted_tower_by_line(querydict['line_id'], area) # # if isgrid: # data = {'Rows':data} # s = json.dumps(data, ensure_ascii=True, indent=4) # if querydict.has_key('check_file'): # fn = querydict['check_file'] # dir_name = querydict['dir_name'] # ret["result"] = {} # ret["result"]["filename"] = fn # if dir_name == 'voice': # if check_voice_file_by_fault(fn): # ret["result"]["exist"] = "true" # else: # ret["result"]["exist"] = "false" # else: # if os.path.exists(os.path.join(UPLOAD_PHOTOS_DIR, dir_name, fn)): # ret["result"]["exist"] = "true" # else: # ret["result"]["exist"] = "false" # s = json.dumps(ret, ensure_ascii=True, indent=4) # if querydict.has_key('delete_file'): # fn = querydict['delete_file'] # dir_name = querydict['dir_name'] # ret["result"] = {} # ret["result"]["filename"] = fn # if dir_name == 'voice': # pl = get_voice_file_by(fn) # if len(pl)>0: # for i in pl: # p = os.path.join(UPLOAD_VOICE_DIR, fn) # if os.path.exists(p): # os.remove(p) # ret["result"]["removed"] = "true" # else: # ret["result"]["removed"] = "false" # # else: # p = os.path.join(UPLOAD_PHOTOS_DIR, dir_name, fn) # if os.path.exists(p): # os.remove(p) # ret["result"]["removed"] = "true" # else: # ret["result"]["removed"] = "false" # s = json.dumps(ret, ensure_ascii=True, indent=4) # if querydict.has_key('list_file_dir_name'): # dir_name = querydict['list_file_dir_name'] # ret["result"] = {} # ret["result"]["dirs"] = [dir_name, ] # p = os.path.join(UPLOAD_PHOTOS_DIR, dir_name) # if os.path.exists(p): # l = os.listdir(p) # ret["result"]["files"] = l # else: # ret["result"]["files"] = [] # s = json.dumps(ret, ensure_ascii=True, indent=4) # if querydict.has_key('get_voice_files'): # get_voice_files = querydict['get_voice_files'] # ret["result"] = {} # ret["result"]["ids"] = get_voice_file_all() # s = json.dumps(ret, ensure_ascii=True, indent=4) if querydict.has_key('op'): op = querydict['op'] if op == "gridfs": ret = db_util.gridfs_find(querydict, str(gConfig['wsgi']['application'])) if isinstance(ret, tuple) and ret[0] and ret[1]: headers['Content-Type'] = str(ret[0]) if querydict.has_key('attachmentdownload'): headers['Content-Disposition'] = 'attachment;filename="' + enc(ret[2]) + '"' s = ret[1] return '200 OK', headers , s if isinstance(ret, list): s = json.dumps(ret, ensure_ascii=True, indent=4) elif op == "gridfs_delete": try: db_util.gridfs_delete(querydict, str(gConfig['wsgi']['application'])) ret = '' except: ret["result"] = sys.exc_info()[1].message s = json.dumps(ret, ensure_ascii=True, indent=4) headers['Content-Type'] = 'text/json;charset=' + ENCODING if isinstance(ret, dict) and len(ret.keys())==0: ret["result"] = "ok" if isinstance(s, list) and len(s)==0: s = json.dumps(ret, ensure_ascii=True, indent=4) return '200 OK', headers, s def create_upload_xls_dir(): global STATICRESOURCE_DIR p = os.path.join(STATICRESOURCE_DIR, 'upload') if not os.path.exists(p): os.mkdir(p) p = os.path.join(p, 'xls') if not os.path.exists(p): os.mkdir(p) return p def create_voice_dir(): global STATICRESOURCE_DIR, UPLOAD_VOICE_DIR if not os.path.exists(UPLOAD_VOICE_DIR): os.mkdir(UPLOAD_VOICE_DIR) def check_voice_file_by_fault(id): global STATICRESOURCE_DIR, UPLOAD_VOICE_DIR create_voice_dir() ret = False for fn in os.listdir(UPLOAD_VOICE_DIR): if id in fn: ret = True break return ret def get_voice_file_latest(id): global STATICRESOURCE_DIR, UPLOAD_VOICE_DIR create_voice_dir() l = [] for fn in os.listdir(UPLOAD_VOICE_DIR): if id in fn: l.append(fn) ret = None if len(l)>0: l.sort() ret = l[-1] return ret def get_voice_file_by(id): global STATICRESOURCE_DIR, UPLOAD_VOICE_DIR create_voice_dir() l = [] for fn in os.listdir(UPLOAD_VOICE_DIR): if id in fn: l.append(fn) return l def get_voice_file_all(): global STATICRESOURCE_DIR, UPLOAD_VOICE_DIR s = set() for fn in os.listdir(UPLOAD_VOICE_DIR): p = os.path.join(UPLOAD_VOICE_DIR, fn) if os.path.isfile(p): arr = fn.split('@') if len(arr)==3: id = arr[1] s.add(id) return list(s) def create_pic_dir(): global STATICRESOURCE_DIR, UPLOAD_PHOTOS_DIR if not os.path.exists(os.path.join(STATICRESOURCE_DIR,'photos')): os.mkdir(os.path.join(STATICRESOURCE_DIR,'photos')) if not os.path.exists(UPLOAD_PHOTOS_DIR): os.mkdir(UPLOAD_PHOTOS_DIR) def handle_upload_file(querydict, buf): global STATICRESOURCE_DIR, UPLOAD_PHOTOS_DIR, UPLOAD_VOICE_DIR ret = False # root = os.path.abspath(STATICRESOURCE_DIR) try: if querydict.has_key('db'): db_util.gridfs_save(querydict, querydict['filename'], buf) ret = True except Exception,e: raise return ret def import_xls(path, fileobj, area, line_name, voltage, category): with open(path, 'wb') as f: f.write(fileobj) return db_util.import_tower_xls_file(area, line_name, voltage, category, path) def save_file_to(category, dir_id, filename, fileobj): root = os.path.abspath(category) if not os.path.exists(root): os.mkdir(root) p = os.path.join(root, filename) if dir_id: p = os.path.join(root, dir_id) if not os.path.exists(p): os.mkdir(p) p = os.path.join(root, dir_id, filename) with open(p, 'wb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'wb') f1.write(fileobj) def geojson_to_czml(aList): cz = czml.CZML() for i in aList: if i.has_key('properties') and i['properties'].has_key('id'): packet = czml.CZMLPacket(id=i['properties']['id']) #tower if i['properties'].has_key('tower_code'): packet = czml.CZMLPacket(id=i['properties']['id'], name=i['properties']['tower_name']) packet.position = czml.Position(cartographicDegrees = [i['geometry']['coordinates'][0], i['geometry']['coordinates'][1], i['geometry']['coordinates'][2],]) packet.point = czml.Point(show=True, color={'rgba': [255, 255, 0, 255]}, pixelSize=10, outlineColor={'rgba': [0, 0, 0, 255]}, outlineWidth=1) #packet.label = czml.Label(text=i['properties']['tower_name'], show=True, scale=0.5) packet.description = i['properties']['tower_name'] #packet.billboard = czml.Billboard(image='http://localhost:88/img/tower.png') cz.append(packet) return cz def handle_post_method(environ): global ENCODING global gRequest querydict, buf = get_querydict_by_GET_POST(environ) ret = {} is_upload = False is_mongo = False use_czml = False get_extext = False headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING if buf is not None: try: is_upload = handle_upload_file(querydict, buf) except: pass if querydict.has_key('db') and querydict.has_key('collection'): is_mongo = True dbname = querydict['db'] collection = querydict['collection'] action = None data = None if querydict.has_key('action'): action = querydict['action'] del querydict['action'] if querydict.has_key('data'): data = querydict['data'] del querydict['data'] if querydict.has_key('use_czml') and querydict['use_czml']: use_czml = True del querydict['use_czml'] if querydict.has_key('get_extext') and querydict['get_extext']: get_extext = True del querydict['get_extext'] del querydict['db'] del querydict['collection'] if action: if 'markdown_' in action or u'markdown_' in action: l = db_util.mongo_action(dbname, collection, action, data, querydict, 'markdown') else: l = db_util.mongo_action(dbname, collection, action, data, querydict) else: l = db_util.mongo_find(dbname, collection, querydict) if get_extext: l = db_util.find_extent(l) if use_czml: l = geojson_to_czml(l) if isinstance(l, list) and len(l) >= 0: ret = l elif isinstance(l, dict) and len(l.keys()) > 0: ret = l elif isinstance(l, czml.CZML): headers['Content-Type'] = 'text/json;charset=' + ENCODING return '200 OK', headers, enc(l.dumps()) #else: #ret["result"] = "%s.%s return 0 record" % (dbname, collection) #else: #ret["result"] = "unknown query operation" if not is_mongo: if querydict.has_key('thunder_counter'): try: ret = handle_thunder_soap(querydict) except: e = sys.exc_info()[1] if hasattr(e, 'message'): ret['result'] = e.message else: ret['result'] = str(e) elif querydict.has_key('op'): if querydict.has_key('area') and querydict['area'] and len(querydict['area'])>0: if querydict['op'] in ['save','delete','update']: ret = db_util.odbc_save_data_to_table(querydict['table'], querydict['op'], querydict['data'], querydict['line_id'], querydict['start_tower_id'], querydict['end_tower_id'], querydict['area']) else: ret = handle_requset_sync(querydict) elif querydict['op'] in ['alt','height'] : if querydict.has_key('lng') and querydict.has_key('lat') and isinstance(querydict['lng'], float) and isinstance(querydict['lat'], float): ret = db_util.extract_one_altitude(querydict['lng'], querydict['lat']) if querydict.has_key('data') and isinstance(querydict['data'], list): ret = db_util.extract_many_altitudes(querydict['data']) else: ret["result"] = "unknown area" elif querydict.has_key('tracks') and querydict.has_key('area'): ret = db_util.save_tracks(querydict['tracks'], querydict['area']) elif querydict.has_key('mobile_action') and querydict.has_key('area') and querydict.has_key('data'): ret = db_util.mobile_action(querydict['mobile_action'], querydict['area'], querydict['data']) if isinstance(ret, list): pass elif isinstance(ret, str) or isinstance(ret, unicode) or isinstance(ret, int) or isinstance(ret, float): pass elif isinstance(ret, dict): if len(ret.keys())==0: pass elif ret.has_key('result'): if isinstance(ret['result'], exceptions.Exception): if hasattr(ret['result'], 'message'): ret['result'] = ret['result'].message else: ret['result'] = str(ret['result']) elif isinstance(ret['result'], str) or isinstance(ret['result'], unicode) or isinstance(ret['result'], int) or isinstance(ret['result'], float): pass elif isinstance(ret['result'], list) or isinstance(ret['result'], dict): pass else: ret["result"] = "unknown operation" else: ret["result"] = "unknown operation" #time.sleep(6) #print(ret) return '200 OK', headers, json.dumps(ret, ensure_ascii=True, indent=4) # def handle_login(environ): # global ENCODING # global gRequest # buf = environ['wsgi.input'].read() # ret = None # try: # ds_plus = urllib.unquote_plus(buf) # obj = json.loads(dec(ds_plus)) # if obj.has_key(u'db') and obj.has_key(u'collection'): # is_mongo = True # dbname = obj[u'db'] # collection = obj[u'collection'] # action = None # data = None # if obj.has_key(u'action'): # action = obj[u'action'] # del obj[u'action'] # if obj.has_key(u'data'): # data = obj[u'data'] # del obj[u'data'] # if obj.has_key(u'url'): # del obj[u'url'] # if obj.has_key(u'redirect'): # del obj[u'redirect'] # del obj[u'db'] # del obj[u'collection'] # if action: # ret = db_util.mongo_action(dbname, collection, action, data, obj) # except: # raise # return ret def handle_thunder_soap(obj): ret = {} if obj['thunder_counter'] == 'GetFlashofDate': ret = soap_GetFlashofDate(obj['start_time'], obj['end_time']) if obj['thunder_counter'] == 'GetFlashofEnvelope': ret = soap_GetFlashofEnvelope(obj['start_time'], obj['end_time'], obj['lng1'], obj['lng2'], obj['lat1'], obj['lat2']) return ret def dishen_ws_loop(aWebSocket, aHash): while 1: #now = time.strftime('%Y-%m-%d %H:%M:%S')[:10] #ws.send("%d,%f\n" % ((time.time() - time.timezone)*1000, random.random()*10)) #t = (time.time() - time.timezone) * 1000 t = time.time() * 1000 if aWebSocket: #message = aWebSocket.receive() #print("message=%s" % message) aWebSocket.send( '%s\n%d' % (str(aHash),int(t)) ) else: break gevent.sleep(1.0) def check_session(environ, request, session_store): global gConfig def set_cookie(key, value): secure = False if gConfig['listen_port']['enable_ssl'].lower() == 'true': secure = True max_age = int(gConfig['authorize_platform']['session']['session_age']) cookie = ('Set-Cookie', dump_cookie(key, value, domain=str(gConfig['authorize_platform']['session']['session_domain']), max_age=max_age, secure=secure)) return cookie sid = request.cookies.get('authorize_platform_session_id') cookie = None is_expire = False sess = None if sid is None or len(sid)==0: request.session = session_store.new({}) #session_store.save(request.session) is_expire = True cookie = set_cookie('authorize_platform_session_id', request.session.sid ) sess = request.session else: request.session = session_store.get(sid) if request.session: cookie = set_cookie('authorize_platform_session_id', request.session.sid) session_store.save_if_modified(request.session) else: cookie = set_cookie('authorize_platform_session_id', '') is_expire = True sess = request.session return sess, cookie, is_expire def get_token_from_env(environ): global gConfig, gLoginToken cookie = parse_cookie(environ) session_id = None ret = None if cookie.has_key('session_id'): session_id = cookie['session_id'] if gLoginToken.has_key(session_id): ret = gLoginToken[session_id] return session_id, ret def get_session_from_env(environ): global gSessionStore cookie = parse_cookie(environ) session_id = None ret = None if cookie.has_key('session_id'): session_id = cookie['session_id'] ret = gSessionStore.get(session_id) return ret def get_userinfo_from_env(environ): global gConfig, gLoginToken cookie = parse_cookie(environ) session_id = None ret = None if cookie.has_key('session_id'): session_id = cookie['session_id'] if gLoginToken.has_key(session_id): ret = gLoginToken[session_id] return session_id, ret def get_sign_alipay(sign_data): global gConfig ret = '' text = sign_data + gConfig['pay_platform']['alipay']['partner_key'] text = enc_by_code(gConfig['pay_platform']['alipay']['input_charset'], text) if (gConfig['pay_platform']['alipay']['sign_type']).lower() == 'md5': md5.digest_size = 32 ret = md5.new(text).hexdigest() return ret def check_sign_alipay(input_charset, signature, sign_type, original_data): global gConfig text = original_data + gConfig['pay_platform']['alipay']['partner_key'] text = enc_by_code(str(input_charset), text) ret = '' if str(sign_type).lower() == 'md5': md5.digest_size = 32 ret = md5.new(text).hexdigest() return ret == str(signature) def build_query_string(data={}): ret = '' keys = data.keys() keys.sort() for k in keys: ret += '%s=%s' % (k, data[k]) if keys.index(k) < len(keys) - 1: ret += '&' return ret def get_pay_record_by_id(querydict): ret = None if querydict['pay_channel'] == 'alipay': out_trade_no = querydict['out_trade_no'] db_util.mongo_init_client('pay_platform') client = db_util.gClientMongo['pay_platform'] db = client['pay'] if 'pay_log' in db.collection_names(False): collection = db['pay_log'] ret = collection.find_one({"out_trade_no":out_trade_no}) return ret def refund_alipay(querydict): global ENCODING global gConfig, gSecurityConfig, gJoinableQueue headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' href = str(gConfig['pay_platform']['alipay']['submit_gateway']) sign_data = {} sign_data['_input_charset'] = gConfig['pay_platform']['alipay']['input_charset'] sign_data['partner'] = gConfig['pay_platform']['alipay']['partner_id'] sign_data['service'] = 'refund_fastpay_by_platform_pwd' sign_data['refund_date'] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") sign_data['batch_no'] = datetime.datetime.now().strftime("%Y%m%d") + str(ObjectId()) sign_data['batch_num'] = '1' querydict['refund_date'] = sign_data['refund_date'] querydict['batch_no'] = sign_data['batch_no'] querydict['batch_num'] = int(sign_data['batch_num']) if len(gConfig['pay_platform']['alipay']['return_url'])>0: sign_data['return_url'] = gConfig['pay_platform']['alipay']['return_url'] if len(gConfig['pay_platform']['alipay']['error_notify_url'])>0: sign_data['error_notify_url'] = gConfig['pay_platform']['alipay']['error_notify_url'] if len(gConfig['pay_platform']['alipay']['notify_url'])>0: sign_data['notify_url'] = gConfig['pay_platform']['alipay']['notify_url'] rec = get_pay_record_by_id(querydict) if rec: if rec.has_key('error_code'): body = json.dumps({'result':'refund_fail_pay_has_fail' }, ensure_ascii=True, indent=4) else: if rec.has_key('seller_email') \ and rec.has_key('trade_no') : trade_no = rec['trade_no'] sign_data['seller_email'] = rec['seller_email'] querydict['seller_email'] = sign_data['seller_email'] querydict['trade_no'] = trade_no detail_data = '%s^%.2f^%s' % (trade_no, float(querydict['refund_fee']), querydict['refund_desc'] ) sign_data['detail_data'] = detail_data if not rec.has_key('seller_email'): body = json.dumps({'result':'refund_fail_seller_email_required' }, ensure_ascii=True, indent=4) if not rec.has_key('trade_no'): body = json.dumps({'result':'refund_fail_trade_no_required' }, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'refund_fail_pay_trade_not_found:%s' % querydict['out_trade_no']}, ensure_ascii=True, indent=4) if len(body) == 0: #querydict['refund_result'] = 'refund_sending_to_alipay' querydict['refund_result'] = 'refund_adding_to_queue' querydict['refund_fee'] = float(querydict['refund_fee']) g = gevent.spawn(update_refund_log, querydict['out_trade_no'], querydict) #g1 = sign_and_send_alipay('post', href, sign_data) #g1.join() #resp = g1.value #s = resp.read() #print('refund response: [%s]' % dec(s)) #body = json.dumps({'result':'refund_sending_to_alipay'}, ensure_ascii=True, indent=4) try: gJoinableQueue.put({'thirdpay':'alipay', 'method':'post', 'url':href, 'data':sign_data}) except gevent.queue.Full: body = json.dumps({'result':'refund_err_queue_full'}, ensure_ascii=True, indent=4) body = json.dumps({'result':'refund_adding_to_queue'}, ensure_ascii=True, indent=4) return statuscode, headers, body def pay_alipay(querydict): global ENCODING global gConfig, gSecurityConfig, gJoinableQueue headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' href = str(gConfig['pay_platform']['alipay']['submit_gateway']) if not href[-1:] == '?': href += '?' sign_data = {} sign_data['_input_charset'] = gConfig['pay_platform']['alipay']['input_charset'] sign_data['total_fee'] = querydict['total_fee'] sign_data['out_trade_no'] = querydict['out_trade_no'] sign_data['partner'] = gConfig['pay_platform']['alipay']['partner_id'] sign_data['payment_type'] = '1' sign_data['seller_email'] = querydict['seller_email'] sign_data['buyer_email'] = querydict['buyer_email'] sign_data['service'] = 'create_direct_pay_by_user' sign_data['subject'] = querydict['subject'] if len(gConfig['pay_platform']['alipay']['return_url'])>0: sign_data['return_url'] = gConfig['pay_platform']['alipay']['return_url'] if len(gConfig['pay_platform']['alipay']['error_notify_url'])>0: sign_data['error_notify_url'] = gConfig['pay_platform']['alipay']['error_notify_url'] if len(gConfig['pay_platform']['alipay']['notify_url'])>0: sign_data['notify_url'] = gConfig['pay_platform']['alipay']['notify_url'] #querydict['trade_status'] = 'pay_sending_to_alipay' querydict['trade_status'] = 'pay_adding_to_queue' querydict['total_fee'] = float(querydict['total_fee']) if querydict.has_key('defaultbank'): if gSecurityConfig['alipay']['bank_code'].has_key(querydict['defaultbank']): sign_data['defaultbank'] = querydict['defaultbank'] sign_data['paymethod'] = 'bankPay' else: body = json.dumps({'result':'pay_fail_wrong_bank_code'}, ensure_ascii=True, indent=4) return statuscode, headers, body if gConfig['pay_platform']['alipay']['need_ctu_check'].lower() == 'true': sign_data['need_ctu_check'] = 'Y' if gConfig['pay_platform']['alipay']['anti_fishing'].lower() == 'true': sign_data['anti_phishing_key'] = '' sign_data['exter_invoke_ip'] = '' g = gevent.spawn(update_pay_log, querydict['out_trade_no'], querydict) #g1 = sign_and_send_alipay('post', href, sign_data) #body = json.dumps({'result':'pay_sending_to_alipay'}, ensure_ascii=True, indent=4) try: gJoinableQueue.put({'thirdpay':'alipay','method':'post', 'url':href, 'data':sign_data}) except gevent.queue.Full: body = json.dumps({'result':'pay_err_queue_full'}, ensure_ascii=True, indent=4) body = json.dumps({'result':'pay_adding_to_queue'}, ensure_ascii=True, indent=4) return statuscode, headers, body def handle_refund(environ): global ENCODING global gConfig headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' querydict = {} if environ.has_key('QUERY_STRING') and len(environ['QUERY_STRING'])>0: querystring = environ['QUERY_STRING'] querystring = urllib.unquote_plus(querystring) querydict = urlparse.parse_qs(dec(querystring)) d = {} for k in querydict.keys(): d[k] = querydict[k][0] querydict = d try: buf = environ['wsgi.input'].read() ds_plus = urllib.unquote_plus(buf) d = json.loads(dec(ds_plus)) for k in d.keys(): querydict[k] = d[k] except: pass if len(querydict.keys()) > 0: if querydict.has_key('out_trade_no') and len(querydict['out_trade_no'])>0\ and querydict.has_key('pay_channel') and len(querydict['pay_channel'])>0\ and querydict.has_key('refund_fee') and len(querydict['refund_fee'])>0\ and querydict.has_key('refund_desc') and len(querydict['refund_desc'])>0: if querydict['pay_channel'] == 'alipay': refund_fee = 0 try: refund_fee = float(querydict['refund_fee']) except: body = json.dumps({'result':'refund_fail_refund_fee_wrong_format'}, ensure_ascii=True, indent=4) refund_fee = 0 if '^' in querydict['refund_desc'] \ or '#' in querydict['refund_desc'] \ or '|' in querydict['refund_desc'] \ or '$' in querydict['refund_desc'] \ or len(querydict['refund_desc'])>128 : refund_fee = 0 body = json.dumps({'result':'refund_fail_refund_desc_wrong_charactor'}, ensure_ascii=True, indent=4) if refund_fee>0: statuscode, headers, body = refund_alipay(querydict) #else: #body = json.dumps({'result':'refund_fail_refund_fee_wrong_format'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'refund_fail_unsupport_pay_channel'}, ensure_ascii=True, indent=4) if not querydict.has_key('out_trade_no') or len(querydict['out_trade_no'])==0: body = json.dumps({'result':'refund_fail_out_trade_no_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('refund_fee') \ or (isinstance(querydict['refund_fee'], unicode) and len(querydict['refund_fee'])==0) \ or (isinstance(querydict['refund_fee'], float) and querydict['refund_fee']==0.0): body = json.dumps({'result':'refund_fail_refund_fee_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('refund_desc') or len(querydict['refund_desc'])==0: body = json.dumps({'result':'refund_fail_refund_desc_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('pay_channel') or len(querydict['pay_channel'])==0: body = json.dumps({'result':'refund_fail_pay_channel_required'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'refund_fail_wrong_data_format'}, ensure_ascii=True, indent=4) return statuscode, headers, body def handle_pay_getinfo(environ): global ENCODING global gConfig, gSecurityConfig def get_collection(collection): ret = None db_util.mongo_init_client('pay_platform') db = db_util.gClientMongo['pay_platform'][gConfig['pay_platform']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret def query_pay_log(condition): ret = [] collection = get_collection(gConfig['pay_platform']['mongodb']['collection_pay_log']) ret = list(collection.find(condition)) #for i in cur: #ret.append(i) return ret headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' querydict = {} if environ.has_key('QUERY_STRING') and len(environ['QUERY_STRING'])>0: querystring = environ['QUERY_STRING'] querystring = urllib.unquote_plus(querystring) querydict = urlparse.parse_qs(dec(querystring)) d = {} for k in querydict.keys(): d[k] = querydict[k][0] querydict = d try: buf = environ['wsgi.input'].read() ds_plus = urllib.unquote_plus(buf) d = json.loads(dec(ds_plus)) for k in d.keys(): querydict[k] = d[k] except: pass if len(querydict.keys()) > 0: if querydict.has_key('q'): if querydict['q'] == 'bank_info': if querydict.has_key('bank_code'): if querydict['bank_code'] == 'all' or len(querydict['bank_code'])==0: body = json.dumps(gSecurityConfig['alipay']['bank_code'], ensure_ascii=True, indent=4) else: if gSecurityConfig['alipay']['bank_code'].has_key(querydict['bank_code']): body = json.dumps(gSecurityConfig['alipay']['bank_code'][querydict['bank_code']], ensure_ascii=True, indent=4) else: body = json.dumps({'result':'wrong_bank_code'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'unknown_query_type'}, ensure_ascii=True, indent=4) elif querydict['q'] == 'error_info': if querydict.has_key('error_code'): if querydict['error_code'] == 'all' or len(querydict['error_code'])==0: body = json.dumps(gSecurityConfig['alipay']['error_code'], ensure_ascii=True, indent=4) else: if gSecurityConfig['alipay']['error_code'].has_key(querydict['error_code']): body = json.dumps(gSecurityConfig['alipay']['error_code'][querydict['error_code']], ensure_ascii=True, indent=4) else: body = json.dumps({'result':'wrong_error_code'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'unknown_query_type'}, ensure_ascii=True, indent=4) elif querydict['q'] == 'trade_status': if querydict.has_key('out_trade_no'): if len(querydict['out_trade_no'])>0: l = [] if isinstance(querydict['out_trade_no'], unicode): l = query_pay_log({'out_trade_no': querydict['out_trade_no']}) elif isinstance(querydict['out_trade_no'], list): idlist = [ObjectId(i) for i in querydict['out_trade_no']] l = query_pay_log({'out_trade_no': {'$in': idlist}}) if len(l) > 0: ll = [] for i in l: o = {} o['out_trade_no'] = i['out_trade_no'] if i.has_key('trade_status'): o['trade_status'] = i['trade_status'] else: o['trade_status'] = None if i.has_key('error_code'): o['error_code'] = i['error_code'] else: o['error_code'] = None if i.has_key('refund_status'): o['refund_status'] = i['refund_status'] else: o['refund_status'] = None ll.append(o) body = json.dumps(db_util.remove_mongo_id(ll), ensure_ascii=True, indent=4) else: body = json.dumps({'result':'out_trade_no_not_exist'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'out_trade_cannot_be_null'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'out_trade_no_required'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'unknown_query_type'}, ensure_ascii=True, indent=4) return statuscode, headers, body def handle_pay(environ): global ENCODING global gConfig headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' querydict = {} if environ.has_key('QUERY_STRING') and len(environ['QUERY_STRING'])>0: querystring = environ['QUERY_STRING'] querystring = urllib.unquote_plus(querystring) querydict = urlparse.parse_qs(dec(querystring)) d = {} for k in querydict.keys(): d[k] = querydict[k][0] querydict = d try: buf = environ['wsgi.input'].read() ds_plus = urllib.unquote_plus(buf) d = json.loads(dec(ds_plus)) for k in d.keys(): querydict[k] = d[k] except: pass if len(querydict.keys()) > 0: if querydict.has_key('out_trade_no') and len(querydict['out_trade_no'])>0 \ and querydict.has_key('subject') and len(querydict['subject'])>0 \ and querydict.has_key('total_fee') and len(querydict['total_fee'])>0 \ and querydict.has_key('buyer_email') and len(querydict['buyer_email'])>0 \ and querydict.has_key('seller_email') and len(querydict['seller_email'])>0 \ and querydict.has_key('pay_channel') and len(querydict['pay_channel'])>0 : if querydict['pay_channel'] == 'alipay': #if querydict.has_key('service'): total_fee = 0 try: total_fee = float(querydict['total_fee']) except: body = json.dumps({'result':'pay_fail_total_fee_wrong_format'}, ensure_ascii=True, indent=4) total_fee = 0 if '^' in querydict['subject'] \ or '#' in querydict['subject'] \ or '|' in querydict['subject'] \ or '$' in querydict['subject'] \ or '%' in querydict['subject'] \ or '&' in querydict['subject'] \ or '+' in querydict['subject'] \ or len(querydict['subject'])>128 : total_fee = 0 body = json.dumps({'result':'pay_fail_subject_wrong_charactor'}, ensure_ascii=True, indent=4) if total_fee>0: statuscode, headers, body = pay_alipay(querydict) else: body = json.dumps({'result':'pay_fail_total_fee_wrong_format'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'pay_fail_unsupport_pay_channel'}, ensure_ascii=True, indent=4) if not querydict.has_key('out_trade_no') or len(querydict['out_trade_no'])==0: body = json.dumps({'result':'pay_fail_out_trade_no_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('subject') or len(querydict['subject'])==0: body = json.dumps({'result':'pay_fail_subject_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('total_fee') \ or (isinstance(querydict['total_fee'], unicode) and len(querydict['total_fee'])==0) \ or (isinstance(querydict['total_fee'], float) and querydict['total_fee']==0.0): body = json.dumps({'result':'pay_fail_total_fee_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('buyer_email') or len(querydict['buyer_email'])==0: body = json.dumps({'result':'pay_fail_buyer_email_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('seller_email') or len(querydict['seller_email'])==0: body = json.dumps({'result':'pay_fail_seller_email_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('pay_channel') or len(querydict['pay_channel'])==0: body = json.dumps({'result':'pay_fail_pay_channel_required'}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'pay_fail_wrong_data_format'}, ensure_ascii=True, indent=4) return statuscode, headers, body def update_refund_log(out_trade_no, data, is_insert=True): db_util.mongo_init_client('pay_platform') client = db_util.gClientMongo['pay_platform'] db = client['pay'] if not 'refund_log' in db.collection_names(False): collection = db.create_collection('refund_log') collection.ensure_index([("out_trade_no", pymongo.ASCENDING),]) else: collection = db['refund_log'] rec = collection.find_one({"out_trade_no":out_trade_no}) if data.has_key('refund_fee') and (isinstance(data['refund_fee'], unicode) or isinstance(data['refund_fee'], str)): data['refund_fee'] = float(data['refund_fee']) if rec: for k in data.keys(): rec[k] = data[k] wr = collection.update({'_id':rec['_id']}, db_util.add_mongo_id(rec), multi=False, upsert=False) if wr and wr['n'] == 0: print('update out_trade_no [%s] failed' % out_trade_no) else: if is_insert: try: _id = collection.insert( db_util.add_mongo_id(data)) #print('refund_log insert _id=%s' % str(_id)) except: print('refund_log insert out_trade_no [%s] failed' % out_trade_no) def update_pay_log(out_trade_no, data, is_insert=True): db_util.mongo_init_client('pay_platform') client = db_util.gClientMongo['pay_platform'] db = client['pay'] if not 'pay_log' in db.collection_names(False): collection = db.create_collection('pay_log') collection.ensure_index([("out_trade_no", pymongo.ASCENDING),]) else: collection = db['pay_log'] rec = collection.find_one({"out_trade_no":out_trade_no}) if data.has_key('total_fee') and (isinstance(data['total_fee'], unicode) or isinstance(data['total_fee'], str)): data['total_fee'] = float(data['total_fee']) if data.has_key('refund_fee') and (isinstance(data['refund_fee'], unicode) or isinstance(data['refund_fee'], str)): data['refund_fee'] = float(data['refund_fee']) if data.has_key('price') and (isinstance(data['price'], unicode) or isinstance(data['price'], str)): data['price'] = float(data['price']) if data.has_key('quantity') and (isinstance(data['quantity'], unicode) or isinstance(data['quantity'], str)): data['quantity'] = int(data['quantity']) if rec: for k in data.keys(): rec[k] = data[k] wr = collection.update({'_id':rec['_id']}, db_util.add_mongo_id(rec), multi=False, upsert=False) #print(wr) if wr and wr['n'] == 0: print('update out_trade_no [%s] failed' % out_trade_no) else: if is_insert: try: _id = collection.insert( db_util.add_mongo_id(data)) #print('pay_log insert _id=%s' % str(_id)) except: print('pay_log insert out_trade_no [%s] failed' % out_trade_no) def handle_alipay_return_url(environ): global ENCODING global gConfig, gSecurityConfig querydict = {} data = {} data['pay_channel'] = 'alipay' querystring = '' if environ.has_key('QUERY_STRING'): querystring = environ['QUERY_STRING'] querystring = urllib.unquote_plus(querystring) querystring = dec_by_code(gConfig['pay_platform']['alipay']['input_charset'], querystring) querydict = urlparse.parse_qs(querystring) d = {} for k in querydict.keys(): d[k] = querydict[k][0] querydict = d if querydict.has_key('notify_type') and 'trade_status_' in querydict['notify_type'] and querydict.has_key('out_trade_no'): if querydict.has_key('is_success'): if querydict['is_success'] == 'T': data['trade_status'] = 'send_to_alipay_success' if querydict.has_key('seller_email'): data['seller_email'] = querydict['seller_email'] if querydict.has_key('buyer_email'): data['buyer_email'] = querydict['buyer_email'] if querydict.has_key('seller_id'): data['seller_id'] = querydict['seller_id'] if querydict.has_key('buyer_id'): data['buyer_id'] = querydict['buyer_id'] if querydict.has_key('notify_time'): data['notify_time'] = querydict['notify_time'] if querydict.has_key('notify_type'): data['notify_type'] = querydict['notify_type'] if querydict.has_key('notify_id'): data['notify_id'] = querydict['notify_id'] if querydict.has_key('out_trade_no'): data['out_trade_no'] = querydict['out_trade_no'] if querydict.has_key('subject'): data['subject'] = querydict['subject'] if querydict.has_key('payment_type'): data['payment_type'] = querydict['payment_type'] if querydict.has_key('trade_no'): data['trade_no'] = querydict['trade_no'] if querydict.has_key('trade_status'): data['trade_status'] = querydict['trade_status'] if gSecurityConfig['alipay']['trade_status'].has_key(data['trade_status']): data['trade_status_desc'] = gSecurityConfig['alipay']['trade_status'][data['trade_status']] if querydict.has_key('gmt_create'): data['gmt_create'] = querydict['gmt_create'] if querydict.has_key('gmt_payment'): data['gmt_payment'] = querydict['gmt_payment'] if querydict.has_key('gmt_close'): data['gmt_close'] = querydict['gmt_close'] if querydict.has_key('gmt_refund'): data['gmt_refund'] = querydict['gmt_refund'] if querydict.has_key('body'): data['body'] = querydict['body'] if querydict.has_key('error_code'): data['error_code'] = querydict['error_code'] if querydict.has_key('bank_seq_no'): data['bank_seq_no'] = querydict['bank_seq_no'] if querydict.has_key('out_channel_type'): data['out_channel_type'] = querydict['out_channel_type'] if querydict.has_key('out_channel_amount'): data['out_channel_amount'] = querydict['out_channel_amount'] if querydict.has_key('out_channel_inst'): data['out_channel_inst'] = querydict['out_channel_inst'] if querydict.has_key('business_scene'): data['business_scene'] = querydict['business_scene'] if querydict.has_key('total_fee'): data['total_fee'] = querydict['total_fee'] if data.has_key('out_trade_no'): g = gevent.spawn(update_pay_log, data['out_trade_no'], data, False) def handle_alipay_notify_url(environ): global gConfig, gSecurityConfig buf = environ['wsgi.input'].read() ds_plus = urllib.unquote_plus(buf) ds_plus = dec_by_code(gConfig['pay_platform']['alipay']['input_charset'], ds_plus) querydict = {} data = {} data['pay_channel'] = 'alipay' try: querydict = urlparse.parse_qs(ds_plus) d = {} for k in querydict.keys(): d[k] = querydict[k][0] querydict = d except: querydict = {} if querydict.has_key('seller_email'): data['seller_email'] = querydict['seller_email'] if querydict.has_key('buyer_email'): data['buyer_email'] = querydict['buyer_email'] if querydict.has_key('seller_id'): data['seller_id'] = querydict['seller_id'] if querydict.has_key('buyer_id'): data['buyer_id'] = querydict['buyer_id'] if querydict.has_key('notify_time'): data['notify_time'] = querydict['notify_time'] if querydict.has_key('notify_id'): data['notify_id'] = querydict['notify_id'] if querydict.has_key('notify_type'): data['notify_type'] = querydict['notify_type'] if querydict.has_key('out_trade_no'): data['out_trade_no'] = querydict['out_trade_no'] if querydict.has_key('subject'): data['subject'] = querydict['subject'] if querydict.has_key('payment_type'): data['payment_type'] = querydict['payment_type'] if querydict.has_key('trade_no'): data['trade_no'] = querydict['trade_no'] if querydict.has_key('trade_status'): data['trade_status'] = querydict['trade_status'] if gSecurityConfig['alipay']['trade_status'].has_key(data['trade_status']): data['trade_status_desc'] = gSecurityConfig['alipay']['trade_status'][data['trade_status']] if querydict.has_key('gmt_create'): data['gmt_create'] = querydict['gmt_create'] if querydict.has_key('gmt_payment'): data['gmt_payment'] = querydict['gmt_payment'] if querydict.has_key('gmt_close'): data['gmt_close'] = querydict['gmt_close'] if querydict.has_key('gmt_refund'): data['gmt_refund'] = querydict['gmt_refund'] if querydict.has_key('body'): data['body'] = querydict['body'] if querydict.has_key('error_code'): data['error_code'] = querydict['error_code'] if querydict.has_key('bank_seq_no'): data['bank_seq_no'] = querydict['bank_seq_no'] if querydict.has_key('out_channel_type'): data['out_channel_type'] = querydict['out_channel_type'] if querydict.has_key('out_channel_amount'): data['out_channel_amount'] = querydict['out_channel_amount'] if querydict.has_key('out_channel_inst'): data['out_channel_inst'] = querydict['out_channel_inst'] if querydict.has_key('business_scene'): data['business_scene'] = querydict['business_scene'] if querydict.has_key('total_fee'): data['total_fee'] = querydict['total_fee'] if querydict.has_key('notify_type') and 'trade_status_' in querydict['notify_type'] and data.has_key('out_trade_no'): g = gevent.spawn(update_pay_log, data['out_trade_no'], data, False) if querydict.has_key('notify_type') and querydict['notify_type'] == 'batch_refund_notify': if querydict.has_key('batch_no'): data['batch_no'] = querydict['batch_no'] if querydict.has_key('success_num'): data['success_num'] = int(querydict['success_num']) if querydict.has_key('result_details'): arr = querydict['result_details'].split('^') trade_no = arr[0] refund_fee = float(arr[1]) refund_status = arr[2] data['trade_no'] = trade_no data['refund_fee'] = refund_fee data['refund_status'] = refund_status g = gevent.spawn(update_refund_log, data['trade_no'], data, False) def handle_alipay_error_notify_url(environ): global gConfig, gSecurityConfig buf = environ['wsgi.input'].read() ds_plus = urllib.unquote_plus(buf) ds_plus = dec_by_code(gConfig['pay_platform']['alipay']['input_charset'], ds_plus) querydict = {} data = {} data['pay_channel'] = 'alipay' try: querydict = urlparse.parse_qs(ds_plus) d = {} for k in querydict.keys(): d[k] = querydict[k][0] querydict = d except: querydict = {} if querydict.has_key('out_trade_no'): data['out_trade_no'] = querydict['out_trade_no'] if querydict.has_key('error_code'): data['error_code'] = querydict['error_code'] if gSecurityConfig['alipay']['error_code'].has_key(data['error_code']): data['error_desc'] = gSecurityConfig['alipay']['error_code'][data['error_code']] if data.has_key('out_trade_no'): g = gevent.spawn(update_pay_log, data['out_trade_no'], data, False) #g.join() def get_querydict_by_GET_POST(environ): querydict = {} buf = None if environ.has_key('QUERY_STRING'): querystring = environ['QUERY_STRING'] querystring = urllib.unquote_plus(querystring) querystring = dec(querystring) try: d = json.loads(querystring) if isinstance(d, dict): for k in d.keys(): querydict[k] = d[k] except: querydict = urlparse.parse_qs(querystring) d = {} for k in querydict.keys(): d[k] = querydict[k][0] querydict = d # try: # # buf = environ['wsgi.input'].read() # buf = stream.read() # print('buf=') # print(buf) # ds_plus = urllib.unquote_plus(buf) # obj = json.loads(dec(ds_plus)) # for k in obj.keys(): # querydict[k] = obj[k] # except: # pass stream, form, files = werkzeug.formparser.parse_form_data(environ, charset='utf-8') if len(form.keys()) > 0: for key in form.keys(): try: if isinstance(key, str): key = dec(key) obj = json.loads(key) if isinstance(obj, dict): for k in obj.keys(): querydict[k] = obj[k] if isinstance(obj, list): querydict = obj except Exception,e: print(e) querydict[key] = form[key] file_storage_list = [] if len(files.keys()) > 0: for key in files.keys(): file_storage_list.extend(files.getlist(key)) for file_storage in file_storage_list: if isinstance(file_storage, werkzeug.datastructures.FileStorage): querydict['filename'] = file_storage.filename querydict['content_type'] = file_storage.content_type querydict['mimetype'] = file_storage.mimetype # querydict['content_length'] = file_storage.content_length buf = file_storage.read() break return querydict, buf def handle_combiz_platform(environ): global ENCODING global gConfig, gRequest, gFormTemplate def get_collection(collection): ret = None db_util.mongo_init_client('combiz_platform') db = db_util.gClientMongo['combiz_platform'][gConfig['combiz_platform']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret #Rule('/workflow_add', endpoint='workflow_add'), #Rule('/workflow_query', endpoint='workflow_query'), #Rule('/workflow_query/<_id>', endpoint='workflow_query'), #Rule('/workflow_update', endpoint='workflow_update'), #Rule('/workflow_delete', endpoint='workflow_delete'), #Rule('/workflow_delete/<_id>', endpoint='workflow_delete'), #Rule('/workflow_template_add', endpoint='workflow_template_add'), #Rule('/workflow_template_query', endpoint='workflow_template_query'), #Rule('/workflow_template_query/<_id>', endpoint='workflow_template_query'), #Rule('/workflow_template_update', endpoint='workflow_template_update'), #Rule('/workflow_template_delete', endpoint='workflow_template_delete'), #Rule('/workflow_template_delete/<_id>', endpoint='workflow_template_delete'), def workflow_add(querydict): ret = '' if querydict.has_key('order_id'): try: collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow']) existone = collection.find_one({'order_id':querydict['order_id']}) if existone: ret = json.dumps({'result':u'workflow_add_order_id_already_exist' }, ensure_ascii=True, indent=4) else: _id = collection.save(querydict) o = collection.find_one({'_id':_id}) ret = json.dumps(db_util.remove_mongo_id(o), ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_add_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_add_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_add_order_id_required' }, ensure_ascii=True, indent=4) return ret def workflow_query(querydict): ret = '' o = None try: #print(querydict) collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow']) limit = 10 skip = 0 ssort = None cond = {} if querydict.has_key('limit'): limit = int(querydict['limit']) if querydict.has_key('offset'): skip = int(querydict['offset']) if querydict.has_key('order'): ssort = [] if querydict['order'] == 'asc': ssort = [('order_id', pymongo.ASCENDING),] if querydict['order'] == 'desc': ssort = [('order_id', pymongo.DESCENDING),] if querydict.has_key('_id'): o = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) elif querydict.has_key('order_id'): if '*' in querydict['order_id']: cond = {'order_id': {'$regex':'^.*' + querydict['order_id'].replace('*', '') + '.*$'}} #print(cond) o = list(collection.find(cond, skip=skip, limit=limit, sort=ssort)) #print(o) else: o = collection.find_one({'order_id':querydict['order_id']}) else: ssort = None cond = {} if querydict.has_key('search_field') and querydict.has_key('search'): cond = {str(querydict['search_field']): {'$regex':'^.*' + querydict['search'].replace('*', '') + '.*$'}} if querydict.has_key('order'): ssort = [] if querydict['order'] == 'asc': ssort = [(str(querydict['search_field']), pymongo.ASCENDING),] if querydict['order'] == 'desc': ssort = [(str(querydict['search_field']), pymongo.DESCENDING),] o = list(collection.find(cond, skip=skip, limit=limit, sort=ssort)) if o: ret = json.dumps(db_util.remove_mongo_id(o), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_query_workflow_not_exist' }, ensure_ascii=True, indent=4) #if not querydict.has_key('_id') and not querydict.has_key('order_id'): #ret = json.dumps({'result':u'workflow_query_id_or_order_id_required' }, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_query_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_query_fail' }, ensure_ascii=True, indent=4) return ret def workflow_update(querydict): ret = '' try: collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow']) if querydict.has_key('_id'): existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.update({'_id':existone['_id']}, {'$set': db_util.add_mongo_id(querydict)}, multi=False, upsert=False) one = collection.find_one(db_util.add_mongo_id({'_id':existone['_id']})) ret = json.dumps(db_util.remove_mongo_id(one), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_update_workflow_not_exist' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_update_id_required' }, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_update_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_update_fail' }, ensure_ascii=True, indent=4) return ret def workflow_delete(querydict): ret = '' try: collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow']) if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.remove({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_delete_workflow_not_exist' }, ensure_ascii=True, indent=4) if isinstance(querydict['_id'], list): ids = db_util.add_mongo_id(querydict['_id']) cond = {'_id':{'$in':ids}} collection.remove(cond) ret = json.dumps(db_util.remove_mongo_id(querydict['_id']), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_delete_id_required' }, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_delete_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_delete_fail' }, ensure_ascii=True, indent=4) return ret def workflow_template_add(querydict): ret = '' if querydict.has_key('name') \ and querydict.has_key('nodes') \ and querydict.has_key('edges'): try: collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow_template']) existone = collection.find_one({'name':querydict['name']}) if existone: ret = json.dumps({'result':u'workflow_template_add_name_already_exist' }, ensure_ascii=True, indent=4) else: _id = collection.save(db_util.add_mongo_id(querydict)) o = collection.find_one({'_id':_id}) ret = json.dumps(db_util.remove_mongo_id(o), ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_template_add_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_add_fail' }, ensure_ascii=True, indent=4) else: if not querydict.has_key('name'): ret = json.dumps({'result':u'workflow_template_add_name_required' }, ensure_ascii=True, indent=4) if not querydict.has_key('nodes'): ret = json.dumps({'result':u'workflow_template_add_nodes_required' }, ensure_ascii=True, indent=4) if not querydict.has_key('edges'): ret = json.dumps({'result':u'workflow_template_add_edges_required' }, ensure_ascii=True, indent=4) return ret def workflow_template_query(querydict): ret = '' o = None try: collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow_template']) o = None limit = 10 skip = 0 ssort = None cond = {} if querydict.has_key('limit'): limit = int(querydict['limit']) if querydict.has_key('offset'): skip = int(querydict['offset']) if querydict.has_key('order'): ssort = [] if querydict['order'] == 'asc': ssort = [('name', pymongo.ASCENDING),] if querydict['order'] == 'desc': ssort = [('name', pymongo.DESCENDING),] if querydict.has_key('name'): if '*' in querydict['name']: cond = {'name': {'$regex':'^.*' + querydict['name'].replace('*', '') + '.*$'}} o = list(collection.find(cond, skip=skip, limit=limit, sort=ssort)) else: o = collection.find_one({'name':querydict['name']}) elif querydict.has_key('_id'): o = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if o: ret = json.dumps(db_util.remove_mongo_id(o), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_query_workflow_not_exist' }, ensure_ascii=True, indent=4) else: ssort = None cond = {} if querydict.has_key('search_field') and querydict.has_key('search'): cond = {str(querydict['search_field']): {'$regex':'^.*' + querydict['search'].replace('*', '') + '.*$'}} if querydict.has_key('order'): ssort = [] if querydict['order'] == 'asc': ssort = [(str(querydict['search_field']), pymongo.ASCENDING),] if querydict['order'] == 'desc': ssort = [(str(querydict['search_field']), pymongo.DESCENDING),] o = list(collection.find(cond, skip=skip, limit=limit, sort=ssort)) ret = json.dumps(db_util.remove_mongo_id(o), ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_template_query_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_query_fail' }, ensure_ascii=True, indent=4) return ret def workflow_template_update(querydict): ret = '' try: collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow_template']) if querydict.has_key('_id'): existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.update({'_id':existone['_id']}, {'$set': db_util.add_mongo_id(querydict)}, multi=False, upsert=False) one = collection.find_one({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(one), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_update_workflow_not_exist' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_update_id_required' }, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_template_update_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_update_fail' }, ensure_ascii=True, indent=4) return ret def workflow_template_delete(querydict): ret = '' try: collection = get_collection(gConfig['combiz_platform']['mongodb']['collection_workflow']) if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.remove({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_delete_workflow_not_exist' }, ensure_ascii=True, indent=4) if isinstance(querydict['_id'], list): ids = db_util.add_mongo_id(querydict['_id']) cond = {'_id':{'$in':ids}} collection.remove(cond) ret = json.dumps(db_util.remove_mongo_id(querydict['_id']), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_delete_id_required' }, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'workflow_template_delete_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'workflow_template_delete_fail' }, ensure_ascii=True, indent=4) return ret def get_form(form_id): global gFormTemplate ret = None for i in gFormTemplate: if i['form_path'] == form_id: ret = i break return ret def get_out_tmp_dir(dirname): out_dir = os.path.join(dirname, 'export_tmp') if not os.path.exists(out_dir): os.mkdir(out_dir) now = time.strftime('%Y-%m-%d %H:%M:%S')[:19].replace('-','').replace(' ','').replace(':','') out_dir = os.path.join(out_dir, '%s-%s' % ( now , uuid.uuid4())) if not os.path.exists(out_dir): os.mkdir(out_dir) return out_dir def form_blank(querydict): global gFormTemplate ret = '' content_type = 'text/json' filename = None if len(gFormTemplate) == 0: p = os.path.join(STATICRESOURCE_DIR, 'form_templates', 'list.json') if os.path.exists(p): try: with open(p, 'r') as f: f1 = gevent.fileobject.FileObjectThread(f, 'r') gFormTemplate = json.loads(f1.read()) except: ret = json.dumps({'result':u'form_blank_list_json_parse_error'}, ensure_ascii=True, indent=4) return ret, content_type, filename else: ret = json.dumps({'result':u'form_blank_list_json_not_exist'}, ensure_ascii=True, indent=4) return ret, content_type, filename if querydict.has_key('form_id'): form = get_form(querydict['form_id']) if form and form.has_key('blank_document'): out_path = form['blank_document'] out_path = os.path.join(STATICRESOURCE_DIR, out_path) if os.path.exists(out_path): ext = 'pdf' if querydict.has_key('format'): ext = querydict['format'] ret,content_type = form_export(out_path, ext) if querydict.has_key('attachmentdownload') and querydict['attachmentdownload'] is True: filename = os.path.basename(form['blank_document']) filename = filename[:filename.rindex('.')] filename = '%s%s.%s' % (filename , u'(空白)', ext) else: ret = json.dumps({'result':u'form_blank_generated_document_not_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'form_blank_blank_document_need_specify_in_list_json'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'form_blank_form_id_required'}, ensure_ascii=True, indent=4) return ret, content_type, filename def form_fill(querydict): global gFormTemplate def check_is_bool(form, fld): ret = False if form.has_key('bool') and isinstance(form['bool'], list): for i in form['bool']: if i == fld: ret = True break return ret def chinese_date(value): ret = value if len(ret) == 19 : if ret[4] == u'-' and ret[7] == u'-' and ret[10] == u' ': ret1 = ret[:4] ret1 += u'年' ret1 += ret[5:7] ret1 += u'月' ret1 += ret[8:10] ret1 += u'日' ret = ret1 return ret def check_is_image(form, fld): ret = False if form.has_key('image') and isinstance(form['image'], list): for i in form['image']: if i == fld: ret = True break return ret def check_is_list(form, fld): ret = False if form.has_key('list') and isinstance(form['list'], list): for i in form['list']: if i == fld: ret = True break return ret def fill_tpl(form, form_data): template_document = os.path.join(STATICRESOURCE_DIR, form['template_document']) dirname = os.path.dirname(template_document) basename = os.path.basename(template_document) basename = basename.replace('_template', '') out_dir = get_out_tmp_dir(dirname) out_path = os.path.join(out_dir, basename) t = Template(template_document, out_path) data = {} document = Py3oItem() file_service_url = '%s://%s:%s/fileservice/rest/file/' % (gConfig['combiz_platform']['proxy_file']['protocol'], gConfig['combiz_platform']['proxy_file']['host'], gConfig['combiz_platform']['proxy_file']['port']) for k in form_data.keys(): #listobj = check_is_list(form, k) if check_is_bool(form, k): if form_data[k] is True: setattr(document, k, u'\u2611') if form_data[k] is False: setattr(document, k, u'\u2610') elif check_is_list(form, k): data[k] = [] for i in form_data[k]: item = Py3oItem() for kk in i.keys(): setattr(item, kk, chinese_date(i[kk])) data[k].append(item) elif check_is_image(form, k): out_path1 = os.path.join(out_dir, form_data[k]) url = URL(file_service_url + form_data[k]) client = HTTPClient.from_url(url) try: response = client.get(url.request_uri) if hasattr(response, 'status_code') and (response.status_code == 200 or response.status_code == 304): with open(out_path1, 'wb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'wb') f1.write(response.read()) if os.path.exists(out_path1): t.set_image_path(k, out_path1) except Exception,e: print(e) out_path1 = os.path.join(STATICRESOURCE_DIR, 'form_templates', 'document', 'no-photo.jpg') t.set_image_path(k, out_path1) else: setattr(document, k, chinese_date(form_data[k])) data['document'] = document #print(dir(data)) t.render(data) return out_path ret = '' content_type = 'text/json' filename = None if len(gFormTemplate) == 0: p = os.path.join(STATICRESOURCE_DIR, 'form_templates', 'list.json') if os.path.exists(p): try: with open(p, 'r') as f: f1 = gevent.fileobject.FileObjectThread(f, 'r') gFormTemplate = json.loads(f1.read()) except: ret = json.dumps({'result':u'form_fill_list_json_parse_error'}, ensure_ascii=True, indent=4) return ret, content_type, filename else: ret = json.dumps({'result':u'form_fill_list_json_not_exist'}, ensure_ascii=True, indent=4) return ret, content_type, filename o = json.loads(workflow_query(querydict)) if o.has_key('result'): ret = json.dumps(o, ensure_ascii=True, indent=4) else: if querydict.has_key('form_id'): if o.has_key('form_data') and isinstance(o['form_data'], dict): if querydict['form_id'] in o['form_data'].keys(): form_data = o['form_data'][querydict['form_id']] form = get_form(querydict['form_id']) if form and form.has_key('template_document'): out_path = fill_tpl(form, form_data) if os.path.exists(out_path): ext = 'pdf' if querydict.has_key('format'): ext = querydict['format'] ret, content_type = form_export(out_path, ext) if querydict.has_key('attachmentdownload') and querydict['attachmentdownload'] is True: filename = os.path.basename(form['template_document']).replace('_template', '') filename = filename[:filename.rindex('.')] filename = '%s%s.%s' % (filename , u'(已填)', ext) else: ret = json.dumps({'result':u'form_fill_generated_document_not_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'form_fill_template_document_need_specify_in_list_json'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'form_fill_form_id_not_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'form_fill_form_data_is_none'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'form_fill_form_id_required'}, ensure_ascii=True, indent=4) return ret, content_type, filename def form_export(src, ext): dirname = os.path.dirname(src) out_dir = get_out_tmp_dir(dirname) out_path = os.path.basename(src) idx = out_path.rindex('.') out_path = out_path[:idx+1] + ext out_path = os.path.join(out_dir, out_path) ret = json.dumps({'result':'unsupport export format.'}, ensure_ascii=True, indent=4) content_type = 'text/json' format = 'pdf' if ext == 'pdf': #format = 'pdf:writer pdf Export' format = 'pdf' content_type = 'application/pdf' elif ext == 'doc': format = 'doc:MS Word 97' content_type = 'application/msword' elif ext == 'docx': format = 'docx:MS Word 2007 XML' content_type = 'application/vnd.openxmlformats-officedocument.wordprocessingml.document' elif ext == 'html': format = 'html:XHTML Writer File' content_type = 'text/html' encfunc = enc if sys.platform == 'win32': encfunc = enc1 cmd = [ encfunc(gConfig['combiz_platform']['libreoffice']['executable_path']), '--headless', '--convert-to', format, '--outdir', encfunc(out_dir), encfunc(src) ] output = check_output(cmd) print(output) #if len(output.strip())>0: #ret = json.dumps({'result':output}, ensure_ascii=True, indent=4) #content_type = 'text/json' if not os.path.exists(out_path): ret = json.dumps({'result':'export failed:file not exist.'}, ensure_ascii=True, indent=4) content_type = 'text/json' if os.path.exists(out_path): with open(out_path, 'rb') as f: f1 = gevent.fileobject.FileObjectThread(f, 'rb') ret = f1.read() return ret, content_type def check_url_token(querydict): is_token_pass = False enable_url_md5_check = False md5prefix = '' if gConfig['combiz_platform'].has_key('security') \ and gConfig['combiz_platform']['security'].has_key('md5prefix'): md5prefix = str(gConfig['combiz_platform']['security']['md5prefix']) if gConfig['combiz_platform'].has_key('security') \ and gConfig['combiz_platform']['security'].has_key('enable_url_md5_check') \ and gConfig['combiz_platform']['security']['enable_url_md5_check'].lower() == 'true': enable_url_md5_check = True else: is_token_pass = True if enable_url_md5_check: print('checking token...') if querydict.has_key('_token'): plain = '%s_|_%s' % (md5prefix, time.strftime('%Y%m%d%H')) token = md5.new(plain).hexdigest() if token == str(querydict['_token']): is_token_pass = True return is_token_pass headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' isnew = False urls = gUrlMap.bind_to_environ(environ) querydict, buf = get_querydict_by_GET_POST(environ) try: endpoint, args = urls.match() if args.has_key('_id'): querydict['_id'] = args['_id'] if endpoint not in []: if not check_url_token(querydict): body = json.dumps({'result': u'invalid_token'}, ensure_ascii=True, indent=4) return statuscode, headers, body if querydict.has_key('_token'): del querydict['_token'] if endpoint == 'workflow_add': body = workflow_add(querydict) elif endpoint == 'workflow_query': body = workflow_query(querydict) elif endpoint == 'workflow_update': body = workflow_update(querydict) elif endpoint == 'workflow_delete': body = workflow_delete(querydict) elif endpoint == 'workflow_template_add': body = workflow_template_add(querydict) elif endpoint == 'workflow_template_query': body = workflow_template_query(querydict) elif endpoint == 'workflow_template_update': body = workflow_template_update(querydict) elif endpoint == 'workflow_template_delete': body = workflow_template_delete(querydict) elif endpoint == 'workflow_form_fill': body, content_type, filename = form_fill(querydict) headers['Content-Type'] = content_type if filename: headers['Content-Disposition'] = 'attachment;filename="' + enc(filename) + '"' elif endpoint == 'workflow_form_blank': body, content_type, filename = form_blank(querydict) headers['Content-Type'] = content_type if filename: headers['Content-Disposition'] = 'attachment;filename="' + enc(filename) + '"' else: body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) except HTTPException, e: body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) return statuscode, headers, body def handle_chat_platform(environ, session): global ENCODING global gConfig, gRequest, gSessionStore, gUrlMap, gSecurityConfig, gWebSocketsMap, gJoinableQueue def get_collection(collection): ret = None db_util.mongo_init_client('chat_platform') db = db_util.gClientMongo['chat_platform'][gConfig['chat_platform']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret def user_query(session, querydict): ret = [] collection = get_collection(gConfig['chat_platform']['mongodb']['collection_users']) q = {} limit = 0 skip = 0 user_detail = False if querydict.has_key('user_detail') and querydict['user_detail'] is True: user_detail = True del querydict['user_detail'] if querydict.has_key('limit'): limit = int(querydict['limit']) del querydict['limit'] if querydict.has_key('skip'): skip = int(querydict['skip']) del querydict['skip'] if querydict.has_key('username'): if isinstance(querydict['username'], str) or isinstance(querydict['username'], unicode): q['username'] = querydict['username'] if isinstance(querydict['username'], list): q['username'] = {'$in': querydict['username']} if isinstance(querydict['username'], dict): q['username'] = querydict['username'] if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): q['_id'] = db_util.add_mongo_id(querydict['_id']) if isinstance(querydict['_id'], list): q['_id'] = {'$in': [db_util.add_mongo_id(i) for i in querydict['_id']]} if isinstance(querydict['_id'], dict): q['_id'] = querydict['_id'] rec = list(collection.find(q).limit(limit).skip(skip)) keys = gWebSocketsMap.keys() for i in rec: if user_detail: if str(i['_id']) in keys: i['online_status'] = 'online' else: i['online_status'] = 'offline' ret.append(i) return ret def group_query(session, querydict={}): ret = [] collection = get_collection(gConfig['chat_platform']['mongodb']['collection_groups']) q = {} limit = 0 skip = 0 if querydict.has_key('limit'): limit = int(querydict['limit']) del querydict['limit'] if querydict.has_key('skip'): skip = int(querydict['skip']) del querydict['skip'] if querydict.has_key('group_name'): if isinstance(querydict['group_name'], str) or isinstance(querydict['group_name'], unicode): q['group_name'] = querydict['group_name'] if isinstance(querydict['group_name'], list): q['group_name'] = {'$in': querydict['group_name']} if isinstance(querydict['group_name'], dict): q['group_name'] = querydict['group_name'] if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): q['_id'] = querydict['_id'] if isinstance(querydict['_id'], list): q['_id'] = {'$in': querydict['_id']} ret = list(collection.find(db_util.add_mongo_id(q)).limit(limit).skip(skip)) if querydict.has_key('user_detail') and querydict['user_detail'] is True: keys = gWebSocketsMap.keys() for i in ret: idx = ret.index(i) detail = [] userlist = user_query(session, {'_id':i['members']}) for j in userlist: if j.has_key('contacts'): del j['contacts'] if j.has_key('password'): del j['password'] if str(j['_id']) in keys: j['online_status'] = 'online' else: j['online_status'] = 'offline' detail.append(j) ret[idx]['members'] = detail return ret def group_get(session, querydict): rec = group_query(session, querydict) if len(rec)>0: ret = json.dumps(db_util.remove_mongo_id(rec), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'query_no_record'}, ensure_ascii=True, indent=4) return ret def user_group_get(session, querydict): ret = [] collection = get_collection(gConfig['chat_platform']['mongodb']['collection_groups']) q = {} if querydict.has_key('username'): if isinstance(querydict['username'], str) or isinstance(querydict['username'], unicode) or isinstance(querydict['username'], dict): q['username'] = querydict['username'] if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): q['_id'] = db_util.add_mongo_id(querydict['_id']) if len(q.keys())>0: users = user_query(session, querydict) if len(users)>0: user0 = users[0] _id = user0['_id'] grps = group_query(session) for i in grps: if i.has_key('members') and _id in i['members']: ret.append(i) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_group_get_user_not_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_group_get_one_user_required'}, ensure_ascii=True, indent=4) return ret def all_user_get(session, querydict): limit = 0 skip = 0 filter_str = '' if querydict.has_key('user_detail') and querydict['user_detail'] is True: user_detail = True del querydict['user_detail'] if querydict.has_key('limit'): try: limit = int(querydict['limit']) except: pass del querydict['limit'] if querydict.has_key('skip'): try: skip = int(querydict['skip']) except: pass del querydict['skip'] if querydict.has_key('filter'): filter_str = querydict['filter'] del querydict['filter'] contactlist = user_query(session, {'username':{'$regex': '^.*' + filter_str + '.*$'}, 'limit':limit, 'skip':skip}) ret = [] keys = gWebSocketsMap.keys() for i in contactlist: for k in i.keys(): if not k in ['_id', 'username', 'display_name', 'avatar']: del i[k] if str(i['_id']) in keys: i['online_status'] = 'online' else: i['online_status'] = 'offline' ret.append(i) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) return ret def user_contact_get(session, querydict): ret = [] collection = get_collection(gConfig['chat_platform']['mongodb']['collection_users']) q = {} if querydict.has_key('username'): if isinstance(querydict['username'], str) or isinstance(querydict['username'], unicode): q['username'] = querydict['username'] del querydict['username'] if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): q['_id'] = db_util.add_mongo_id(querydict['_id']) del querydict['_id'] if len(q.keys())>0: contacts = [] selfid = None rec = collection.find_one(q) if rec and rec.has_key('contacts'): # contacts = rec['contacts'] contacts = [db_util.add_mongo_id(i) for i in rec['contacts']] ret = contacts selfid = rec['_id'] limit = 0 skip = 0 user_detail = False if querydict.has_key('user_detail') and querydict['user_detail'] is True: user_detail = True del querydict['user_detail'] if querydict.has_key('limit'): try: limit = int(querydict['limit']) except: pass del querydict['limit'] if querydict.has_key('skip'): try: skip = int(querydict['skip']) except: pass del querydict['skip'] if user_detail: if querydict.has_key('filter'): contactlist = user_query(session, {'username':{'$regex': '^.*' + querydict['filter'] + '.*$'}, '_id': {'$in':contacts, '$ne':selfid}, 'limit':limit, 'skip':skip}) del querydict['filter'] else: contactlist = user_query(session, {'_id':contacts, 'limit':limit, 'skip':skip}) ret = [] keys = gWebSocketsMap.keys() for i in contactlist: if i.has_key('contacts'): del i['contacts'] if i.has_key('password'): del i['password'] if str(i['_id']) in keys: i['online_status'] = 'online' else: i['online_status'] = 'offline' ret.append(i) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_contact_query_one_user_required'}, ensure_ascii=True, indent=4) return ret def user_get(session, querydict): ret = '' rec = user_query(session, querydict) for i in rec: idx = rec.index(i) if i.has_key('contacts'): del i['contacts'] if i.has_key('password'): del i['password'] rec[idx] = i if len(rec)>0: ret = json.dumps(db_util.remove_mongo_id(rec), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'query_no_record'}, ensure_ascii=True, indent=4) return ret def user_add(session, querydict): ret = '' if querydict.has_key('username') and querydict.has_key('password') and len(querydict['username'])>0 and len(querydict['password'])>0: try: collection = get_collection(gConfig['chat_platform']['mongodb']['collection_users']) existone = collection.find_one({'username':querydict['username']}) if existone: ret = json.dumps({'result':u'user_add_fail_username_already_exist'}, ensure_ascii=True, indent=4) else: obj = {} obj['username'] = querydict['username'] obj['display_name'] = querydict['username'] obj['password'] = querydict['password'] ts = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) obj['register_date'] = ts obj['update_date'] = ts obj['description'] = '' obj['person_info'] = {} obj['contacts'] = [] obj['avatar'] = None if querydict.has_key('person_info') : obj['person_info'] = querydict['person_info'] if querydict.has_key('contacts') and isinstance(querydict['contacts'], list): obj['contacts'] = querydict['contacts'] if querydict.has_key('avatar') and len(querydict['avatar']) > 0: obj['avatar'] = querydict['avatar'] _id = collection.save(db_util.add_mongo_id(obj)) rec = collection.find_one({'_id':_id}) ret = json.dumps(db_util.remove_mongo_id(rec), ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'user_add_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_add_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_add_fail_username_password_required'}, ensure_ascii=True, indent=4) return ret def user_update(session, querydict): ret = '' if querydict.has_key('_id') and len(querydict['_id'])>0: try: _id = db_util.add_mongo_id(querydict['_id']) collection = get_collection(gConfig['chat_platform']['mongodb']['collection_users']) existone = collection.find_one({'_id':_id}) if existone: del querydict['_id'] querydict['update_date'] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) collection.update({'_id':existone['_id']}, {'$set': db_util.add_mongo_id(querydict)}, multi=False, upsert=False) one = collection.find_one({'_id':_id}) ret = json.dumps(db_util.remove_mongo_id(one), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_update_user_not_exist'}, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'user_update_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_update_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_update_fail_user_id_required'}, ensure_ascii=True, indent=4) return ret def user_delete(session, querydict): ret = '' if querydict.has_key('_id') and len(querydict['_id'])>0: try: collection = get_collection(gConfig['chat_platform']['mongodb']['collection_users']) existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.remove({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_remove_user_not_exist'}, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'user_remove_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_remove_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_remove_fail_user_id_required'}, ensure_ascii=True, indent=4) return ret def group_add(session, querydict): ret = '' if querydict.has_key('owner_id')\ and len(querydict['owner_id']) > 0\ and querydict.has_key('group_name')\ and len(querydict['group_name']) > 0: try: collection = get_collection(gConfig['chat_platform']['mongodb']['collection_groups']) existone = collection.find_one({'group_name':querydict['group_name']}) if existone: ret = json.dumps({'result':u'group_add_fail_group_name_already_exist'}, ensure_ascii=True, indent=4) else: obj = {} obj['owner_id'] = querydict['owner_id'] obj['group_name'] = querydict['group_name'] ts = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) obj['found_date'] = ts obj['update_date'] = ts obj['members'] = [db_util.add_mongo_id(obj['owner_id']), ] if querydict.has_key('avatar') and len(querydict['avatar']) > 0: obj['avatar'] = querydict['avatar'] if querydict.has_key('description') and len(querydict['description']) > 0: obj['description'] = querydict['description'] _id = collection.save(db_util.add_mongo_id(obj)) rec = collection.find_one({'_id':_id}) ret = json.dumps(db_util.remove_mongo_id(rec), ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'group_add_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'group_add_fail' }, ensure_ascii=True, indent=4) else: if not querydict.has_key('owner_id') or len(querydict['owner_id']) == 0: ret = json.dumps({'result':u'group_add_fail_owner_id_required'}, ensure_ascii=True, indent=4) if not querydict.has_key('group_name') or len(querydict['group_name']) == 0: ret = json.dumps({'result':u'group_add_fail_group_name_required'}, ensure_ascii=True, indent=4) return ret def group_update(session, querydict): ret = '' if querydict.has_key('_id') and len(querydict['_id'])>0: try: _id = db_util.add_mongo_id(querydict['_id']) collection = get_collection(gConfig['chat_platform']['mongodb']['collection_groups']) existone = collection.find_one({'_id':_id}) if existone: del querydict['_id'] querydict['update_date'] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) collection.update({'_id':existone['_id']}, {'$set': db_util.add_mongo_id(querydict)}, multi=False, upsert=False) one = collection.find_one({'_id':_id}) ret = json.dumps(db_util.remove_mongo_id(one), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'group_update_group_not_exist'}, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'group_update_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'group_update_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'group_update_fail_group_id_required'}, ensure_ascii=True, indent=4) return ret def group_remove(session, querydict): ret = '' if querydict.has_key('_id') and len(querydict['_id']) > 0: try: collection = get_collection(gConfig['chat_platform']['mongodb']['collection_groups']) existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.remove({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'group_remove_fail_group_not_exist'}, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'group_remove_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'group_remove_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'group_remove_fail_found_group_id_required'}, ensure_ascii=True, indent=4) return ret def check_contact_exist(_id, alist): ret = None for i in alist: if i['_id'] == _id: ret = i break return ret def online(user_id, websocket): if user_id and websocket and not websocket.closed: if not gWebSocketsMap.has_key(user_id): gWebSocketsMap[user_id] = [] if not websocket in gWebSocketsMap[user_id]: gWebSocketsMap[user_id].append(websocket) def offline(user_id): if user_id and gWebSocketsMap.has_key(user_id): for i in gWebSocketsMap[user_id]: i.close() del gWebSocketsMap[user_id] chat_save_log({ 'op':'chat/offline', 'from':user_id, 'timestamp':time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) }) def get_destination(session, from_id, _id): ret = [] if isinstance(_id, str) or isinstance(_id, unicode): userlist = user_query(session, {'_id':from_id}) if len(userlist)==0: userlist = user_query(session, {'username':from_id}) if len(userlist)>0: user0 = userlist[0] if user0.has_key('contacts'): toid = _id try: toid = ObjectId(_id) except: ul = user_query(session, {'username':_id}) if len(ul)>0: toid = ul[0]['_id'] if db_util.add_mongo_id(str(toid)) in user0['contacts']: ret.append(str(toid)) elif isinstance(_id, list): userlist = user_query(session, {'_id':from_id}) if len(userlist)==0: userlist = user_query(session, {'username':from_id}) if len(userlist)>0: user0 = userlist[0] if user0.has_key('contacts'): for id in _id: if db_util.add_mongo_id(id) in user0['contacts']: ret.append(id) return ret def get_destination_group(session, from_id, _id): ret = [] userset = set() grps = group_query(session, {'_id':_id}) for grp in grps: if grp.has_key('members') and len(grp['members'])>0: if db_util.add_mongo_id(from_id) in grp['members']: userset = userset.union(set(grp['members'])) userlist = list(userset) for id in userlist: ret.append(id) return ret def resend_offline_msg(session, to_id, limit=10): offlinecol = 'chat_log_offline' if gConfig['chat_platform']['mongodb'].has_key('collection_chat_log_offline'): offlinecol = gConfig['chat_platform']['mongodb']['collection_chat_log_offline'] collection = get_collection(offlinecol) arr = list(collection.find({'to':db_util.add_mongo_id(to_id)}).limit(limit).sort('timestamp', pymongo.DESCENDING)) ids = [i['_id'] for i in arr] collection.remove({'_id':{'$in': ids}}) for i in arr: gJoinableQueue.put(db_util.remove_mongo_id(i)) def chat(session, websocket, obj={}): tolist = [] if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('msg') and len(obj['msg'])>0: if obj.has_key('to') and len(obj['to'])>0: tolist = get_destination(session, obj['from'], obj['to']) if obj.has_key('to_group') and len(obj['to_group']) > 0: tolist = get_destination_group(session, obj['from'], obj['to_group']) for k in tolist: try: d = {'op': 'chat/chat', 'from': obj['from'], 'to': k, 'timestamp': time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()), 'msg': obj['msg']} gJoinableQueue.put(d) except gevent.queue.Full: print('chat queue is full') def request_response(session, websocket, obj={}): #'chat/request/contact/add', #'chat/request/contact/remove', #'chat/response/contact/add/accept', #'chat/response/contact/add/reject' #'chat/request/group/join' #'chat/request/group/quit' #'chat/response/group/join/accept', #'chat/response/group/join/reject', tolist = [] try: if obj['op'] == 'chat/response/contact/add/accept': if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('to') and len(obj['to'])>0: collection = get_collection(gConfig['chat_platform']['mongodb']['collection_users']) userlist = user_query(session, {'_id':[obj['from'], obj['to']]}) for user in userlist: if str(user['_id']) == obj['from'] and not db_util.add_mongo_id(obj['to']) in user['contacts']: user['contacts'].append(db_util.add_mongo_id(obj['to'])) if str(user['_id']) == obj['to'] and not db_util.add_mongo_id(obj['from']) in user['contacts']: user['contacts'].append(db_util.add_mongo_id(obj['from'])) user['update_date'] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) collection.save(user) fromuser = {} fromuser['op'] = obj['op'] fromuser['_id'] = obj['from'] fromuser['from'] = obj['to'] fromuser['to'] = obj['from'] fromuser['contacts'] = json.loads(user_contact_get(session, {'_id':obj['from'],'user_detail':True})) gJoinableQueue.put(db_util.remove_mongo_id(fromuser)) touser = {} touser['op'] = obj['op'] touser['_id'] = obj['to'] touser['from'] = obj['from'] touser['to'] = obj['to'] touser['contacts'] = json.loads(user_contact_get(session, {'_id':obj['to'],'user_detail':True})) gJoinableQueue.put(db_util.remove_mongo_id(touser)) elif obj['op'] == 'chat/response/contact/add/reject': if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('to') and len(obj['to'])>0: userlist = user_query(session, {'_id':obj['from']}) if len(userlist)>0: user0 = userlist[0] user0['op'] = obj['op'] user0['from'] = obj['from'] user0['to'] = obj['to'] if user0.has_key('password'): del user0['password'] if user0.has_key('contacts'): del user0['contacts'] if obj.has_key('reject_reason') and len(obj['reject_reason'])>0: user0['reject_reason'] = obj['reject_reason'] gJoinableQueue.put(db_util.remove_mongo_id(user0)) elif obj['op'] == 'chat/request/contact/add': if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('to') and len(obj['to'])>0: userlist = user_query(session, {'_id':obj['from']}) if len(userlist)>0: user0 = userlist[0] user0['op'] = obj['op'] user0['from'] = obj['from'] user0['to'] = obj['to'] if user0.has_key('password'): del user0['password'] if user0.has_key('contacts'): del user0['contacts'] gJoinableQueue.put(db_util.remove_mongo_id(user0)) elif obj['op'] == 'chat/request/contact/remove': if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('to') and len(obj['to'])>0: collection = get_collection(gConfig['chat_platform']['mongodb']['collection_users']) userlist = user_query(session, {'_id':[obj['from'], obj['to']]}) remover, removee = None, None for user in userlist: if str(user['_id']) == obj['from'] and db_util.add_mongo_id(obj['to']) in user['contacts']: user['contacts'].remove(db_util.add_mongo_id(obj['to'])) remover = user['display_name'] if str(user['_id']) == obj['to'] and db_util.add_mongo_id(obj['from']) in user['contacts']: user['contacts'].remove(db_util.add_mongo_id(obj['from'])) removee = user['display_name'] user['update_date'] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) collection.save(user) fromuser = {} fromuser['op'] = obj['op'] fromuser['_id'] = obj['from'] fromuser['from'] = obj['to'] fromuser['to'] = obj['from'] fromuser['remover'] = remover fromuser['removee'] = removee fromuser['remove_type'] = 'remover' fromuser['contacts'] = json.loads(user_contact_get(session, {'_id':obj['from'], 'user_detail':True})) gJoinableQueue.put(db_util.remove_mongo_id(fromuser)) touser = {} touser['op'] = obj['op'] touser['_id'] = obj['to'] touser['from'] = obj['from'] touser['to'] = obj['to'] touser['remover'] = remover touser['removee'] = removee touser['remove_type'] = 'removee' touser['contacts'] = json.loads(user_contact_get(session, {'_id':obj['to'], 'user_detail':True})) gJoinableQueue.put(db_util.remove_mongo_id(touser)) elif obj['op'] == 'chat/request/group/join': if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('to_group') and len(obj['to_group'])>0: grps = group_query(session, {'_id':obj['to_group']}) if len(grps)>0: grp0 = grps[0] userlist = user_query(session, {'_id':obj['from']}) if len(userlist)>0: user0 = userlist[0] user0['op'] = obj['op'] user0['from'] = obj['from'] user0['request_src'] = obj['from'] user0['to_group'] = obj['to_group'] user0['to'] = grp0['owner_id'] if user0.has_key('password'): del user0['password'] if user0.has_key('contacts'): del user0['contacts'] gJoinableQueue.put(db_util.remove_mongo_id(user0)) elif obj['op'] == 'chat/request/group/quit': if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('to_group') and len(obj['to_group'])>0: grps = group_query(session, {'_id':obj['to_group']}) if len(grps)>0: grp0 = grps[0] members = [] if db_util.add_mongo_id(obj['from']) in grp0['members']: grp0['members'].remove(db_util.add_mongo_id(obj['from'])) members = [str(i) for i in grp0['members']] collection = get_collection(gConfig['chat_platform']['mongodb']['collection_groups']) collection.save(grp0) broadcast(session, websocket, members, {'op':obj['op'], 'from':obj['from'], 'to_group':obj['to_group']} ) elif obj['op'] == 'chat/response/group/join/accept': if obj.has_key('to_group') and len(obj['to_group'])>0 and obj.has_key('request_src') and len(obj['request_src'])>0: grps = group_query(session, {'_id': obj['to_group']}) if len(grps)>0: grp0 = grps[0] if not db_util.add_mongo_id(obj['request_src']) in grp0['members']: grp0['members'].append(db_util.add_mongo_id(obj['request_src'])) collection = get_collection(gConfig['chat_platform']['mongodb']['collection_groups']) collection.save(grp0) members = [str(i) for i in grp0['members']] broadcast(session, websocket, members, obj) elif obj['op'] == 'chat/response/group/join/reject': if obj.has_key('from') and len(obj['from'])>0 and obj.has_key('to') and len(obj['to'])>0 and obj.has_key('to_group') and len(obj['to_group'])>0: userlist = user_query(session, {'_id':obj['from']}) if len(userlist)>0: user0 = userlist[0] user0['op'] = obj['op'] user0['from'] = obj['from'] user0['to'] = obj['to'] user0['to_group'] = obj['to_group'] if user0.has_key('password'): del user0['password'] if user0.has_key('contacts'): del user0['contacts'] if obj.has_key('reject_reason') and len(obj['reject_reason'])>0: user0['reject_reason'] = obj['reject_reason'] gJoinableQueue.put(db_util.remove_mongo_id(user0)) #else: #d = {'op': obj['op'], 'from':obj['from'], 'to':k, 'timestamp':time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()),} #gJoinableQueue.put(d) except gevent.queue.Full: print('chat queue is full') def broadcast(session, websocket, alist, obj={}): for i in alist: d = {} #d['timestamp'] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) for k in obj.keys(): d[k] = obj[k] if isinstance(i, str) or isinstance(i, unicode): d['to'] = i elif isinstance(i, dict): if i.has_key('_id'): d['to'] = i['_id'] try: gJoinableQueue.put(d) except: pass def handle_websocket(environ): ws = get_websocket(environ) app = gConfig['wsgi']['application'] #session_id = None #channel = '' #if environ.has_key('HTTP_COOKIE'): #arr = environ['HTTP_COOKIE'].split('=') #if len(arr)>1: #session_id = arr[1] interval = 1.0 try: interval = float(gConfig[app]['websocket']['interval_poll']) except: interval = 1.0 while ws and not ws.closed: obj = ws_recv(environ) if obj and isinstance(obj, dict) and obj.has_key('op'): if obj['op'] == 'queue_size': qsize = 0 if gJoinableQueue: qsize = gJoinableQueue.qsize() ws.send(json.dumps({'queue_size':qsize}, ensure_ascii=True, indent=4)) elif obj['op'] == 'chat/online': rec = [] if obj.has_key('_id') and len(obj['_id'])>0: rec = user_query(session, {'_id':obj['_id']}) elif obj.has_key('username') and len(obj['username'])>0: rec = user_query(session, {'username':obj['username']}) if len(rec)>0: r0 = rec[0] _id = str(r0['_id']) online(_id, ws) r0['contacts'] = json.loads(user_contact_get(session, {'_id':_id,'user_detail':True})) r0['groups'] = json.loads(user_group_get(session, {'_id':_id,'user_detail':True})) d = db_util.remove_mongo_id(r0) d['op'] = obj['op'] d['from'] = _id d['to'] = _id d['timestamp'] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) gJoinableQueue.put(d) #ws.send(json.dumps(d, ensure_ascii=True, indent=4)) if obj.has_key('inform_contact') and obj['inform_contact'] is True: other_contacts = gWebSocketsMap.keys()[:] if _id in other_contacts: other_contacts.remove(_id) broadcast(session, ws, other_contacts, {'op':'chat/info/online','from':_id}) limit = 10 if gConfig['chat_platform'].has_key('resend') and gConfig['chat_platform']['resend'].has_key('max_resend_record_num'): try: limit = int(gConfig['chat_platform']['resend']['max_resend_record_num']) except: pass resend_offline_msg(session, _id, limit) else: ws.send(json.dumps({'result':'chat_online_user_not_exist'}, ensure_ascii=True, indent=4)) elif obj['op'] == 'chat/offline': if obj.has_key('_id'): _id = obj['_id'] if obj.has_key('inform_contact') and obj['inform_contact'] is True: other_contacts = gWebSocketsMap.keys()[:] if _id in other_contacts: other_contacts.remove(_id) broadcast(session, ws, other_contacts, {'op':'chat/info/offline','from':_id, 'timestamp': time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())}) offline(_id) elif obj.has_key('username'): rec = user_query(session, {'username':obj['username']}) if len(rec)>0: _id = str(rec[0]['_id']) if obj.has_key('inform_contact') and obj['inform_contact'] is True: other_contacts = gWebSocketsMap.keys()[:] if _id in other_contacts: other_contacts.remove(_id) broadcast(session, ws, other_contacts, {'op':'chat/info/offline','from':_id}) offline(_id) else: ws.send(json.dumps({'result':'chat_offline_user_not_exist'}, ensure_ascii=True, indent=4)) else: ws.send(json.dumps({'result':'chat_offline_username_or_id_required'}, ensure_ascii=True, indent=4)) elif obj['op'] == 'chat/chat': chat(session, ws, obj) elif 'chat/request' in obj['op'] or 'chat/response' in obj['op']: request_response(session, ws, obj) else: try: ws.send('') except: _id = None for k in gWebSocketsMap.keys(): if ws in gWebSocketsMap[k] : _id = k break if _id: print('websocket[%s] is closed2' % _id) offline(_id) broadcast(session, None, gWebSocketsMap.keys(), {'op':'chat/info/offline', 'from':_id}) gevent.sleep(interval) if ws and ws.closed: del ws def check_url_token(querydict): is_token_pass = False enable_url_md5_check = False md5prefix = '' if gConfig['chat_platform'].has_key('security') \ and gConfig['chat_platform']['security'].has_key('md5prefix'): md5prefix = str(gConfig['chat_platform']['security']['md5prefix']) if gConfig['chat_platform'].has_key('security') \ and gConfig['chat_platform']['security'].has_key('enable_url_md5_check') \ and gConfig['chat_platform']['security']['enable_url_md5_check'].lower() == 'true': enable_url_md5_check = True else: is_token_pass = True if enable_url_md5_check: print('checking token...') if querydict.has_key('_token'): plain = '%s_|_%s' % (md5prefix, time.strftime('%Y%m%d%H')) token = md5.new(plain).hexdigest() if token == str(querydict['_token']): is_token_pass = True return is_token_pass def chat_broadcast(session, querydict): ret = '{}' tolist = [] if querydict.has_key('from') and len(querydict['from'])>0: if querydict.has_key('to'): if isinstance(querydict['to'], str) or isinstance(querydict['to'], unicode): tolist.append(querydict['to']) if isinstance(querydict['to'], list): tolist.extend(querydict['to']) else: ret = json.dumps({'result':u'chat_broadcast_to_required'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'chat_broadcast_from_required'}, ensure_ascii=True, indent=4) if querydict.has_key('msg') and len(querydict['msg'])>0: for k in tolist: try: d = {'op': 'chat/chat', 'from': querydict['from'], 'to': k, 'timestamp': time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()), 'msg': querydict['msg']} gJoinableQueue.put(d) except gevent.queue.Full: print('chat queue is full') ret = json.dumps({'result':u'chat queue is full'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'chat_broadcast_msg_required'}, ensure_ascii=True, indent=4) return ret def chat_log_query(session, querydict): limit = 0 skip = 0 filter_str = '' from_id, to_id = None, None if querydict.has_key('from') and (isinstance(querydict['from'], str) or isinstance(querydict['from'], unicode)) and len(querydict['from'])>0: from_id = querydict['from'] if querydict.has_key('to') and (isinstance(querydict['to'], str) or isinstance(querydict['to'], unicode)) and len(querydict['to'])>0: to_id = querydict['to'] if from_id is None or to_id is None: return json.dumps({'result':u'chat_log_query_from_and_to_required'}, ensure_ascii=True, indent=4) if querydict.has_key('limit'): try: limit = int(querydict['limit']) except: pass del querydict['limit'] if querydict.has_key('skip'): try: skip = int(querydict['skip']) except: pass del querydict['skip'] if querydict.has_key('filter'): filter_str = querydict['filter'] del querydict['filter'] # offlinecol = 'chat_log_offline' # if gConfig['chat_platform']['mongodb'].has_key('collection_chat_log_offline'): # offlinecol = gConfig['chat_platform']['mongodb']['collection_chat_log_offline'] collection1 = get_collection(gConfig['chat_platform']['mongodb']['collection_chat_log']) # collection2 = get_collection(offlinecol) ret = list(collection1.find({'$or':[{'from':db_util.add_mongo_id(from_id), 'to':db_util.add_mongo_id(to_id)}, {'to':db_util.add_mongo_id(from_id), 'from':db_util.add_mongo_id(to_id)}]}).limit(limit).skip(skip).sort('timestamp', pymongo.DESCENDING)) # arr2 = list(collection2.find({'$or':[{'from':db_util.add_mongo_id(from_id), 'to':db_util.add_mongo_id(to_id)}, {'to':db_util.add_mongo_id(from_id), 'from':db_util.add_mongo_id(to_id)}]}).limit(limit).skip(skip).sort('timestamp', pymongo.DESCENDING)) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) return ret def chat_log_remove(session, querydict): return '' headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' isnew = False urls = gUrlMap.bind_to_environ(environ) querydict, buf = get_querydict_by_GET_POST(environ) endpoint = '' try: endpoint, args = urls.match() if endpoint not in ['handle_websocket', 'gridfs_upload', 'gridfs_get', 'gridfs_delete', 'gridfs_query']: if not check_url_token(querydict): body = json.dumps({'result':u'invalid_token'}, ensure_ascii=True, indent=4) return statuscode, headers, body if querydict.has_key('_token'): del querydict['_token'] if endpoint == 'user_add': body = user_add(session, querydict) elif endpoint == 'user_remove': body = user_delete(session, querydict) elif endpoint == 'user_get': body = user_get(session, querydict) elif endpoint == 'all_user_get': body = all_user_get(session, querydict) elif endpoint == 'user_update': body = user_update(session, querydict) elif endpoint == 'group_add': body = group_add(session, querydict) elif endpoint == 'group_get': body = group_get(session, querydict) elif endpoint == 'user_group_get': body = user_group_get(session, querydict) elif endpoint == 'user_contact_get': body = user_contact_get(session, querydict) elif endpoint == 'group_update': body = group_update(session, querydict) elif endpoint == 'group_remove': body = group_remove(session, querydict) elif endpoint == 'handle_websocket': handle_websocket(environ) elif endpoint == 'chat_broadcast': body = chat_broadcast(session, querydict) elif endpoint == 'chat_log_query': body = chat_log_query(session, querydict) elif endpoint == 'chat_log_remove': body = chat_log_remove(session, querydict) elif endpoint == 'gridfs_upload': body = gridfs_upload(environ, querydict, buf) elif endpoint == 'gridfs_get': if args.has_key('_id'): querydict['_id'] = args['_id'] if args.has_key('width'): try: querydict['width'] = int(args['width']) except: querydict['width'] = 64 if args.has_key('height'): try: querydict['height'] = int(args['height']) except: querydict['height'] = 64 statuscode, headers, body = gridfs_get(environ, querydict) elif endpoint == 'gridfs_delete': if args.has_key('_id'): querydict['_id'] = args['_id'] statuscode, headers, body = gridfs_delete(environ, querydict) elif endpoint == 'gridfs_query': if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): if ',' in querydict['_id']: querydict['_id'] = querydict['_id'].split(',') else: querydict['_id'] = [querydict['_id'],] if args.has_key('width'): try: querydict['width'] = int(args['width']) except: querydict['width'] = 64 if args.has_key('height'): try: querydict['height'] = int(args['height']) except: querydict['height'] = 64 if args.has_key('limit'): try: querydict['limit'] = int(args['limit']) except: querydict['limit'] = 10 if args.has_key('skip'): try: querydict['skip'] = int(args['skip']) except: querydict['skip'] = 0 statuscode, headers, body = gridfs_query(environ, querydict) else: body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) except HTTPException, e: body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) if session: gSessionStore.save(session) return statuscode, headers, body def gridfs_get(environ, querydict): global gConfig, ENCODING, STATICRESOURCE_DIR def thumbnail(fp, size, use_base64=False): ret = None if 'image/' in fp.mimetype: im = Image.open(fp) im.thumbnail(size) buf = StringIO.StringIO() #print(im.format) im.save(buf, im.format) ret = buf.getvalue() if use_base64: ret = base64.b64encode(ret) if 'application/' in fp.mimetype or 'text/' in fp.mimetype: thumpath = gConfig['web']['thumbnail']['application/octet-stream'] if gConfig['web']['thumbnail'].has_key(fp.mimetype): thumpath = gConfig['web']['thumbnail'][fp.mimetype] thumpath = os.path.join(STATICRESOURCE_DIR, 'img', 'thumbnail', thumpath) im = Image.open(thumpath) im.thumbnail(size) buf = StringIO.StringIO() im.save(buf, im.format) ret = buf.getvalue() if use_base64: ret = base64.b64encode(ret) return ret headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING body = '' statuscode = '200 OK' if querydict.has_key('_'): del querydict['_'] if querydict.has_key('_random'): del querydict['_random'] if not querydict.has_key('_id'): body = json.dumps({'result': u'gridfs_get_id_required'}, ensure_ascii=True, indent=4) return statuscode, headers, body app = gConfig['wsgi']['application'] if gConfig.has_key(app): collection = 'fs' if gConfig[app].has_key('mongodb') and gConfig[app]['mongodb'].has_key('gridfs_collection'): collection = str(gConfig[app]['mongodb']['gridfs_collection']) if len(collection) == 0: collection = 'fs' db_util.mongo_init_client(app) dbname = gConfig[app]['mongodb']['database'] db = db_util.gClientMongo[app][dbname] fs = gridfs.GridFS(db, collection=collection) _id = db_util.add_mongo_id(querydict['_id']) try: f = fs.get(_id) headers['Content-Type'] = str(f.content_type) if querydict.has_key('width') and querydict.has_key('height') \ and querydict['width']>0 and querydict['width']<8192 \ and querydict['height']>0 and querydict['height']<8192 : if 'image/' in f.content_type: body = thumbnail(f, (querydict['width'], querydict['height']), False) else: body = thumbnail(f, (128, 128), False) headers['Content-Type'] = 'image/png' if body is None: body = json.dumps({'result': u'gridfs_get_error_invalid_image_format'}, ensure_ascii=True, indent=4) else: body = f.read() if querydict.has_key('attachmentdownload'): headers['Content-Disposition'] = 'attachment;filename="' + enc(f.filename) + '"' except gridfs.errors.NoFile: body = json.dumps({'result': u'gridfs_get_file_not_exist'}, ensure_ascii=True, indent=4) except Exception,e: headers['Content-Type'] = 'text/json;charset=' + ENCODING body = json.dumps({'result': u'gridfs_get_error:%s' % e.message}, ensure_ascii=True, indent=4) else: body = json.dumps({'result': u'gridfs_get_cannot_find_wsgi_app [%s]' % app}, ensure_ascii=True, indent=4) return statuscode, headers, body def gridfs_delete(environ, querydict): global gConfig, ENCODING headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING body = '' statuscode = '200 OK' if querydict.has_key('_'): del querydict['_'] if querydict.has_key('_random'): del querydict['_random'] if not querydict.has_key('_id'): body = json.dumps({'result': u'gridfs_delete_id_required'}, ensure_ascii=True, indent=4) return statuscode, headers, body app = gConfig['wsgi']['application'] if gConfig.has_key(app): collection = 'fs' if gConfig[app].has_key('mongodb') and gConfig[app]['mongodb'].has_key('gridfs_collection'): collection = str(gConfig[app]['mongodb']['gridfs_collection']) if len(collection) == 0: collection = 'fs' db_util.mongo_init_client(app) dbname = gConfig[app]['mongodb']['database'] db = db_util.gClientMongo[app][dbname] fs = gridfs.GridFS(db, collection=collection) arr = querydict['_id'].split(',') ids = [] for i in arr: ids.append(db_util.add_mongo_id(i)) try: for i in ids: fs.delete(i) body = json.dumps(querydict, ensure_ascii=True, indent=4) except Exception,e: body = json.dumps({'result': u'gridfs_delete_error:%s' % e.message}, ensure_ascii=True, indent=4) else: body = json.dumps({'result': u'gridfs_delete_cannot_find_wsgi_app [%s]' % app}, ensure_ascii=True, indent=4) return statuscode, headers, body def gridfs_query(environ, querydict): global gConfig, ENCODING, STATICRESOURCE_DIR def thumbnail(fp, size, use_base64=False): ret = None if 'image/' in fp.mimetype: im = Image.open(fp) im.thumbnail(size) buf = StringIO.StringIO() #print(im.format) im.save(buf, im.format) ret = buf.getvalue() if use_base64: ret = base64.b64encode(ret) if 'application/' in fp.mimetype or 'text/' in fp.mimetype: thumpath = gConfig['web']['thumbnail']['application/octet-stream'] if gConfig['web']['thumbnail'].has_key(fp.mimetype): thumpath = gConfig['web']['thumbnail'][fp.mimetype] thumpath = os.path.join(STATICRESOURCE_DIR, 'img', 'thumbnail', thumpath) im = Image.open(thumpath) im.thumbnail(size) buf = StringIO.StringIO() im.save(buf, im.format) ret = buf.getvalue() if use_base64: ret = base64.b64encode(ret) return ret headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING body = '[]' statuscode = '200 OK' app = gConfig['wsgi']['application'] if querydict.has_key('_'): del querydict['_'] if querydict.has_key('_random'): del querydict['_random'] if gConfig.has_key(app): collection = 'fs' if gConfig[app].has_key('mongodb') and gConfig[app]['mongodb'].has_key('gridfs_collection'): collection = str(gConfig[app]['mongodb']['gridfs_collection']) if len(collection) == 0: collection = 'fs' db_util.mongo_init_client(app) dbname = gConfig[app]['mongodb']['database'] db = db_util.gClientMongo[app][dbname] fs = gridfs.GridFS(db, collection=collection) limit = 10 skip = 0 if querydict.has_key('limit'): limit = querydict['limit'] del querydict['limit'] if querydict.has_key('skip'): skip = querydict['skip'] del querydict['skip'] try: if querydict.has_key('width') and querydict.has_key('height') \ and querydict['width']>0 and querydict['width']<8192 \ and querydict['height']>0 and querydict['height']<8192 : w, h = querydict['width'], querydict['height'] del querydict['width'] del querydict['height'] cur = None if querydict.has_key('_id'): ids = db_util.add_mongo_id(querydict['_id']) cur = fs.find({'_id':{'$in':ids}}).limit(limit).skip(skip) else: cur = fs.find(db_util.add_mongo_id(querydict)).limit(limit).skip(skip) arr = [] for f in cur: b64str = thumbnail(f, (w, h), True) if 'application/' in f.content_type: f.mimetype = 'image/png' arr.append({'_id':db_util.remove_mongo_id(f._id), 'mimetype':f.mimetype,'filename':enc(f.filename), 'data': b64str}) body = json.dumps(arr, ensure_ascii=True, indent=4) else: body = json.dumps({'result': u'gridfs_query_size_required'}, ensure_ascii=True, indent=4) except gridfs.errors.NoFile: body = json.dumps({'result': u'gridfs_query_file_not_exist'}, ensure_ascii=True, indent=4) except Exception,e: body = json.dumps({'result': u'gridfs_query_error:%s' % e.message}, ensure_ascii=True, indent=4) else: body = json.dumps({'result': u'gridfs_query_cannot_find_wsgi_app [%s]' % app}, ensure_ascii=True, indent=4) return statuscode, headers, body def gridfs_upload(environ, querydict, buf): global gConfig app = gConfig['wsgi']['application'] body = '' if gConfig.has_key(app): collection = 'fs' if gConfig[app].has_key('mongodb') and gConfig[app]['mongodb'].has_key('gridfs_collection'): collection = str(gConfig[app]['mongodb']['gridfs_collection']) if len(collection) == 0: collection = 'fs' db_util.mongo_init_client(app) dbname = gConfig[app]['mongodb']['database'] db = db_util.gClientMongo[app][dbname] if querydict.has_key('file_id'): del querydict['file_id'] fs = gridfs.GridFS(db, collection=collection) _id = None try: querydict = db_util.add_mongo_id(querydict); if querydict.has_key('_uniqueIndex'): uniqueIndex = querydict['_uniqueIndex'] cond = {} if (isinstance(uniqueIndex, unicode) or isinstance(uniqueIndex, str)) and len(uniqueIndex)>0: arr = uniqueIndex.split(',') for indexName in arr: indexName = indexName.strip() if querydict.has_key(indexName): cond[indexName] = querydict[indexName] if len(cond.keys())>1: idlist = [] cur = fs.find(cond) for i in cur: idlist.append(i._id) for i in idlist: fs.delete(i) del querydict['_uniqueIndex'] _id = fs.put(buf, **querydict) except gridfs.errors.FileExists: if querydict.has_key('_id'): _id = db_util.add_mongo_id(querydict['_id']) fs.delete(_id) _id = fs.put(buf, **querydict) except: raise body = json.dumps({'_id':db_util.remove_mongo_id(_id)}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':u'cannot find wsgi app [%s]' % app}, ensure_ascii=True, indent=4) return body def handle_authorize_platform(environ, session): global ENCODING global gConfig, gRequest, gSessionStore, gUrlMap, gSecurityConfig, gWebSocketsMap, gJoinableQueue def get_collection(collection): ret = None db_util.mongo_init_client('authorize_platform') db = db_util.gClientMongo['authorize_platform'][gConfig['authorize_platform']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret def get_all_functions(): ret = [] collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_functions']) ret = list(collection.find({})) #for i in cur: #ret.append(i) return ret def get_all_roles(exclude_template=False): ret = [] collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_roles']) if exclude_template: ret = list(collection.find({'name':{'$not':re.compile("template")}})) else: ret = list(collection.find({})) #for i in cur: #ret.append(i) return ret def check_role_can_be_delete(_id): def get_id_list(node): reet = [] if node.has_key('roles'): for i in node['roles']: reet.append(i) return reet ret = True for i in get_user(): idlist = get_id_list(i) if _id in idlist: ret = False break return ret def check_function_can_be_delete(_id): def get_id_list(node): reet = [] if node.has_key('_id'): reet.append(node['_id']) if node.has_key('children'): for i in node['children']: reet.extend(get_id_list(i)) return reet ret = True for i in get_all_roles(): idlist = get_id_list(i) if _id in idlist: ret = False break return ret def check_valid_user(session, user=None): ret = False if session and session.has_key('username') and len(session['username'])>0: if user: ret = session['username'] == user else: ret = True return ret def function_add(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_functions']) if querydict.has_key('name'): existone = collection.find_one({'name':querydict['name']}) if existone: ret = json.dumps({'result':u'function_add_fail_name_exist'}, ensure_ascii=True, indent=4) else: _id = collection.save(db_util.add_mongo_id(querydict)) rec = collection.find_one({'_id':_id}) ret = db_util.remove_mongo_id(rec) ret = json.dumps(ret, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'function_add_fail_name_required'}, ensure_ascii=True, indent=4) return ret def function_query(session, querydict): #if not check_valid_user(session, 'admin'): #return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) l = get_all_functions() ret = json.dumps(db_util.remove_mongo_id(l), ensure_ascii=True, indent=4) return ret def function_update(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_functions']) if querydict.has_key('_id'): wr = collection.update({'_id':db_util.add_mongo_id(querydict['_id'])}, db_util.add_mongo_id(querydict), multi=False, upsert=False) rec = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) ret = db_util.remove_mongo_id(rec) ret = json.dumps(ret, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'function_update_fail_id_required'}, ensure_ascii=True, indent=4) return ret def function_delete(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_functions']) if querydict.has_key('_id'): existone = collection.find_one({'_id': db_util.add_mongo_id(querydict['_id'])}) if existone: if check_function_can_be_delete(existone['_id']): wr = collection.remove({'_id':db_util.add_mongo_id(existone['_id'])}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'function_delete_fail_need_deleted_in_role_first'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'function_delete_fail_not_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'function_delete_fail_id_required'}, ensure_ascii=True, indent=4) return ret def role_add(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_roles']) if querydict.has_key('name'): existone = collection.find_one({'name':querydict['name']}) if existone: ret = json.dumps({'result':u'role_add_fail_name_already_exist'}, ensure_ascii=True, indent=4) else: _id = collection.save(db_util.add_mongo_id(querydict)) rec = collection.find_one({'_id':_id}) ret = db_util.remove_mongo_id(rec) ret = json.dumps(ret, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'role_add_fail_name_required'}, ensure_ascii=True, indent=4) return ret def role_query(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) l = get_all_roles(True) ret = json.dumps(db_util.remove_mongo_id(l), ensure_ascii=True, indent=4) return ret def role_update(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_roles']) if querydict.has_key('_id'): wr = collection.update({'_id':db_util.add_mongo_id(querydict['_id'])}, db_util.add_mongo_id(querydict), multi=False, upsert=False) rec = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) ret = db_util.remove_mongo_id(rec) ret = json.dumps(ret, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'role_update_fail_id_required'}, ensure_ascii=True, indent=4) return ret def role_delete(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_roles']) if querydict.has_key('_id'): existone = collection.find_one({'_id': db_util.add_mongo_id(querydict['_id'])}) if existone: if check_role_can_be_delete(existone['_id']): wr = collection.remove({'_id':db_util.add_mongo_id(existone['_id'])}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'role_delete_fail_need_delete_in_user_first'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'role_delete_fail_not_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'role_delete_fail_id_required'}, ensure_ascii=True, indent=4) return ret def role_template_get(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' l = get_all_roles() for i in l: if i['name'] == 'template': ret = json.dumps(db_util.remove_mongo_id(i), ensure_ascii=True, indent=4) break if len(ret) == 0: ret = json.dumps({}, ensure_ascii=True, indent=4) return ret def role_template_save(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_roles']) if querydict.has_key('_id'): wr = collection.update({'_id':db_util.add_mongo_id(querydict['_id'])}, db_util.add_mongo_id(querydict), multi=False, upsert=False) rec = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) ret = db_util.remove_mongo_id(rec) ret = json.dumps(ret, ensure_ascii=True, indent=4) else: #ret = json.dumps({'result':u'role_template_save_fail_id_required'}, ensure_ascii=True, indent=4) _id = collection.save(db_util.add_mongo_id(querydict)) if _id: querydict['_id'] = _id ret = json.dumps(db_util.remove_mongo_id(querydict), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'role_template_save_fail'}, ensure_ascii=True, indent=4) return ret def get_user(user=None): ret = [] collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_user_account']) if user: ret = list(collection.find({'username':user})) else: ret = list(collection.find({})) #for i in cur: #ret.append(i) return ret def get_funclist_by_roles(roles): def get_func_list(node): ret = [] if node.has_key('_id'): if node.has_key('checked') and node['checked'] is True: ret.append(node['_id']) if node.has_key('children'): for i in node['children']: ret.extend(get_func_list(i)) return ret ret = [] rolelist = get_all_roles(True) for node in rolelist: if node.has_key('_id') and node['_id'] in roles: ret.extend(get_func_list(node)) return ret def check_user_has_function(session, querydict): ret = '' if not check_valid_user(session): return json.dumps({'result':u'username_required'}, ensure_ascii=True, indent=4) if querydict.has_key('username') : if querydict.has_key('functions') : if len(querydict['functions'])>0: userlist = get_user(querydict['username']) if len(userlist)>0: if userlist[0].has_key('roles') and isinstance(userlist[0]['roles'], list) and len(userlist[0]['roles'])>0: roles = userlist[0]['roles'] funclist = get_funclist_by_roles(roles) retlist = [] for f in querydict['functions']: o = {} o['_id'] = f if ObjectId(f) in funclist: o['enable'] = True else: o['enable'] = False retlist.append(o) ret = json.dumps(retlist, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'this_user_has_no_role'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'username_not_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'function_id_list_required'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'functions_required'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'username_required'}, ensure_ascii=True, indent=4) return ret def user_query(session, querydict): if not check_valid_user(session, 'admin'): return json.dumps({'result':u'admin_permission_required'}, ensure_ascii=True, indent=4) ret = '' if querydict.has_key('username') and len(querydict['username'])>0: l = get_user(querydict['username']) if len(l)>0: ret = json.dumps(db_util.remove_mongo_id(l[0]), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'username_not_found'}, ensure_ascii=True, indent=4) else: l = get_user() ret = json.dumps(db_util.remove_mongo_id(l), ensure_ascii=True, indent=4) return ret def user_add(session, querydict): ret = '' if querydict.has_key('username') and querydict.has_key('password') and len(querydict['username'])>0 and len(querydict['password'])>0: try: collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_user_account']) existone = collection.find_one({'username':querydict['username']}) if existone: ret = json.dumps({'result':u'register_fail_username_already_exist'}, ensure_ascii=True, indent=4) else: _id = collection.save(db_util.add_mongo_id(querydict)) rec = collection.find_one({'_id':_id}) ret = json.dumps(db_util.remove_mongo_id(rec), ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'register_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'register_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'register_fail_username_password_required'}, ensure_ascii=True, indent=4) return ret def user_delete(session, querydict): ret = '' if querydict.has_key('username') and len(querydict['username'])>0: try: collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_user_account']) existone = collection.find_one({'username':querydict['username']}) if existone: collection.remove({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'unregister_fail_not_exist' }, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'unregister_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'unregister_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'unregister_fail_username_required'}, ensure_ascii=True, indent=4) return ret def reset_password(session, querydict): ret = '' if querydict.has_key('username') and len(querydict['username'])>0 and querydict.has_key('password') and len(querydict['password'])>0: try: collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_user_account']) one = collection.find_one({'username':querydict['username']}) if one: collection.update({'username':querydict['username']}, {'$set':{'password':querydict['password']}}, multi=False, upsert=False) ret = json.dumps(db_util.remove_mongo_id(one), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'reset_password_fail_not_exist'}, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'reset_password_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'reset_password_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'reset_password_fail_username_password_required'}, ensure_ascii=True, indent=4) return ret def user_update(session, querydict): ret = '' if querydict.has_key('username') and len(querydict['username'])>0 : try: collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_user_account']) one = collection.find_one({'username':querydict['username']}) if one: collection.update({'username':querydict['username']}, db_util.add_mongo_id(querydict), multi=False, upsert=False) ret = json.dumps(db_util.remove_mongo_id(one), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_update_fail_not_exist'}, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'user_update_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_update_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'user_update_fail_username_required'}, ensure_ascii=True, indent=4) return ret def login(session, querydict): ok = False ret = '' if querydict.has_key('username') and querydict.has_key('password') and len(querydict['username'])>0 and len(querydict['password'])>0: try: check, ip = session_check_user_ip(environ, querydict['username']) if gSessionStore and not check: ret = json.dumps({'result':u'other_ip_already_login:%s' % ip }, ensure_ascii=True, indent=4) return ret, ok if gSessionStore and session: collection = get_collection(gConfig['authorize_platform']['mongodb']['collection_user_account']) one = collection.find_one({'username':querydict['username'], 'password':querydict['password']}) if one: ret = json.dumps(db_util.remove_mongo_id(one), ensure_ascii=True, indent=4) ok = True else: ret = json.dumps({'result':u'login_fail_wrong_username_or_password' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'login_fail_session_expired' }, ensure_ascii=True, indent=4) except: if hasattr(sys.exc_info()[1], 'message'): ret = json.dumps({'result':u'login_fail:%s' % sys.exc_info()[1].message}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'login_fail' }, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'login_fail_username_password_required'}, ensure_ascii=True, indent=4) return ret, ok def auth_check(session, querydict, isnew): ret = '' if session : if querydict.has_key('username') and len(querydict['username'])>0: if isnew is True: session['username'] = querydict['username'] gSessionStore.save(session) ret = json.dumps({'result':u'auth_check_ok_session_saved'}, ensure_ascii=True, indent=4) else: if session.sid: user = gSessionStore.get_data_by_username(session.sid, querydict['username']) if user: ret = json.dumps({'result':u'auth_check_ok_user_exist'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'auth_check_fail_session_expired'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'auth_check_fail_session_expired'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'auth_check_fail_username_require'}, ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'auth_check_fail_session_expired'}, ensure_ascii=True, indent=4) return ret def sub(uid, channel, websocket): if uid and websocket and not websocket.closed: if not gWebSocketsMap.has_key(uid + '|' + channel): gWebSocketsMap[uid + '|' + channel] = websocket def unsub(uid, channels): keys = channels while len(keys)>0: key = keys[0] if uid and gWebSocketsMap.has_key(uid + '|' + key): del gWebSocketsMap[uid + '|' + key] del keys[0] def handle_websocket(environ): ws = get_websocket(environ) app = gConfig['wsgi']['application'] session_id = None channel = '' if environ.has_key('HTTP_COOKIE'): arr = environ['HTTP_COOKIE'].split('=') if len(arr)>1: session_id = arr[1] interval = 1.0 try: interval = float(gConfig[app]['websocket']['interval_poll']) except: interval = 1.0 while ws and not ws.closed: obj = ws_recv(environ) if obj and isinstance(obj, dict) and obj.has_key('op'): #print(obj) if obj['op'] == 'session_list': ws.send(ws_session_query()) elif obj['op'] == 'subscribe/session_list': sub(session_id, 'session_list', ws) elif obj['op'] == 'unsubscribe/session_list': unsub(session_id, ['session_list',]) elif obj['op'] == 'session_remove': if obj.has_key('id') and len(obj['id'])>0: print('remove session from client:') print(obj['id']) gSessionStore.delete_by_id(obj['id']) elif obj['op'] == 'queue_size': qsize = 0 if gJoinableQueue: qsize = gJoinableQueue.qsize() ws.send(json.dumps({'queue_size':qsize}, ensure_ascii=True, indent=4)) else: try: ws.send('') except: for k in gWebSocketsMap.keys(): if gWebSocketsMap[k] is ws: gWebSocketsMap[k].close() del gWebSocketsMap[k] break gevent.sleep(interval) if ws and ws.closed: del ws headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' isnew = False urls = gUrlMap.bind_to_environ(environ) querydict, buf = get_querydict_by_GET_POST(environ) endpoint = '' try: endpoint, args = urls.match() if args.has_key('username'): querydict['username'] = args['username'] if args.has_key('password'): querydict['password'] = args['password'] if endpoint == 'auth_check': body = auth_check(session, querydict, False) elif endpoint == 'handle_websocket': handle_websocket(environ) elif endpoint == 'get_salt': if len(gSecurityConfig.keys())>0: body = json.dumps({'result':'get_salt_ok','salt':gSecurityConfig['password_salt']}, ensure_ascii=True, indent=4) else: body = json.dumps({'result':'get_salt_fail'}, ensure_ascii=True, indent=4) elif endpoint == 'user_add': body = user_add(session, querydict) elif endpoint == 'user_check': body = check_user_has_function(session, querydict) elif endpoint == 'user_delete': body = user_delete(session, querydict) elif endpoint == 'user_query': body = user_query(session, querydict) elif endpoint == 'user_update': body = user_update(session, querydict) elif endpoint == 'reset_password': body = reset_password(session, querydict) elif endpoint == 'login': body, loginok = login(session, querydict) if loginok: if querydict.has_key('username') and len(querydict['username'])>0: session['username'] = querydict['username'] elif endpoint == 'logout': if gSessionStore and session: gSessionStore.delete(session) session = None body = json.dumps({'result':u'logout_ok'}, ensure_ascii=True, indent=4) elif endpoint == 'function_add': body = function_add(session, querydict) elif endpoint == 'function_query': body = function_query(session, querydict) elif endpoint == 'function_update': body = function_update(session, querydict) elif endpoint == 'function_delete': body = function_delete(session, querydict) elif endpoint == 'role_add': body = role_add(session, querydict) elif endpoint == 'role_update': body = role_update(session, querydict) elif endpoint == 'role_query': body = role_query(session, querydict) elif endpoint == 'role_delete': body = role_delete(session, querydict) elif endpoint == 'role_template_save': body = role_template_save(session, querydict) elif endpoint == 'role_template_get': body = role_template_get(session, querydict) else: body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) except HTTPException, e: body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) if session: gSessionStore.save(session) return statuscode, headers, body def CORS_header(h={}): global gConfig def default_header(h={}): ret = {}; for k in h.keys(): ret[k] = h[k] ret['Access-Control-Allow-Origin'] = '*' ret['Access-Control-Allow-Credentials'] = 'true' ret['Access-Control-Expose-Headers'] = 'true' ret['Access-Control-Max-Age'] = '3600' ret['Access-Control-Allow-Methods'] = 'POST,GET,OPTIONS' return ret headers = {} for k in h.keys(): headers[k] = h[k] if gConfig['web']['cors']['enable_cors'].lower() == 'true': app = gConfig['wsgi']['application'] if gConfig.has_key(app) and gConfig[app].has_key('cors'): try: if gConfig[app]['cors'].has_key('Access-Control-Allow-Origin'): headers['Access-Control-Allow-Origin'] = str(gConfig[app]['cors']['Access-Control-Allow-Origin']) if gConfig[app]['cors'].has_key('Access-Control-Allow-Credentials'): headers['Access-Control-Allow-Credentials'] = str(gConfig[app]['cors']['Access-Control-Allow-Credentials']) if gConfig[app]['cors'].has_key('Access-Control-Expose-Headers'): headers['Access-Control-Expose-Headers'] = str(gConfig[app]['cors']['Access-Control-Expose-Headers']) if gConfig[app]['cors'].has_key('Access-Control-Max-Age'): headers['Access-Control-Max-Age'] = str(gConfig[app]['cors']['Access-Control-Max-Age']) if gConfig[app]['cors'].has_key('Access-Control-Allow-Methods'): s = gConfig[app]['cors']['Access-Control-Allow-Methods'] if isinstance(s, list): s = ','.join(s) headers['Access-Control-Allow-Methods'] = str(s) except: headers = default_header(h) else: try: if gConfig['web']['cors'].has_key('Access-Control-Allow-Origin'): headers['Access-Control-Allow-Origin'] = str(gConfig['web']['cors']['Access-Control-Allow-Origin']) if gConfig['web']['cors'].has_key('Access-Control-Allow-Credentials'): headers['Access-Control-Allow-Credentials'] = str(gConfig['web']['cors']['Access-Control-Allow-Credentials']) if gConfig['web']['cors'].has_key('Access-Control-Expose-Headers'): headers['Access-Control-Expose-Headers'] = str(gConfig['web']['cors']['Access-Control-Expose-Headers']) if gConfig['web']['cors'].has_key('Access-Control-Max-Age'): headers['Access-Control-Max-Age'] = str(gConfig['web']['cors']['Access-Control-Max-Age']) if gConfig['web']['cors'].has_key('Access-Control-Allow-Methods'): s = gConfig['web']['cors']['Access-Control-Allow-Methods'] if isinstance(s, list): s = ','.join(s) headers['Access-Control-Allow-Methods'] = str(s) except: headers = default_header(h) return headers def check_is_static(aUrl): global STATICRESOURCE_DIR global gConfig ret = False surl = dec(aUrl) if surl[0:2] == '//': surl = surl[2:] if surl[0] == '/': surl = surl[1:] p = os.path.join(STATICRESOURCE_DIR , surl) isBin = False ext = os.path.splitext(p)[1] if '.' in surl: ext = surl[surl.rindex('.'):] else: ext = os.path.splitext(p)[1] if len(ext)>0 and gConfig['mime_type'].has_key(ext): ret = True return ret def whitelist_check(environ, start_response): global gConfig ret = True if gConfig['listen_port'].has_key('whitelist') and len(gConfig['listen_port']['whitelist'])>0: if isinstance(gConfig['listen_port']['whitelist'], unicode): s = str(gConfig['listen_port']['whitelist']) rere = re.compile(s) if environ.has_key('REMOTE_ADDR') and len(rere.findall(environ['REMOTE_ADDR']))==0: ret = False elif isinstance(gConfig['listen_port']['whitelist'], list): cnt = 0 ret = False for i in gConfig['listen_port']['whitelist']: s = str(i) rere = re.compile(s) if environ.has_key('REMOTE_ADDR') and len(rere.findall(environ['REMOTE_ADDR']))>0: cnt += 1 if cnt>0: ret = True return ret def blacklist_check(environ, start_response): global gConfig ret = True if gConfig['listen_port'].has_key('blacklist') and len(gConfig['listen_port']['blacklist'])>0: if isinstance(gConfig['listen_port']['blacklist'], unicode): s = str(gConfig['listen_port']['blacklist']) rere = re.compile(s) if environ.has_key('REMOTE_ADDR') and len(rere.findall(environ['REMOTE_ADDR']))>0: ret = False elif isinstance(gConfig['listen_port']['blacklist'], list): cnt = 0 ret = True for i in gConfig['listen_port']['blacklist']: s = str(i) rere = re.compile(s) if environ.has_key('REMOTE_ADDR') and len(rere.findall(environ['REMOTE_ADDR']))>0: cnt += 1 if cnt>0: ret = False return ret def ip_check(environ, start_response): ret = False if whitelist_check(environ, start_response) and blacklist_check(environ, start_response): ret = True return ret def session_check_user_ip(environ, username): global gConfig, gSessionStore ret = True ip = environ['REMOTE_ADDR'] if gConfig['authorize_platform']['session']['session_check_ip'].lower() == 'true': l = gSessionStore.get_list_by_username(username) for i in l: if i.has_key('ip') and i['ip'] != environ['REMOTE_ADDR']: ret = False break return ret, ip def get_websocket(environ): ret = None if environ.has_key("wsgi.websocket") and environ['wsgi.websocket']: ret = environ['wsgi.websocket'] return ret def ws_send(channel=None, string=''): global gWebSocketsMap for k in gWebSocketsMap.keys(): ws = None if channel: if '|' + channel in k: ws = gWebSocketsMap[k] else: ws = gWebSocketsMap[k] if ws and not ws.closed: try: ws.send(string) except geventwebsocket.WebSocketError, e: print('ws_send exception:%s' % str(e)) elif ws and ws.closed: del gWebSocketsMap[k] def ws_session_query(): ret = json.dumps(db_util.remove_mongo_id(gSessionStore.list()), ensure_ascii=True, indent=4) return ret def ws_recv(environ): ret = None ws = get_websocket(environ) if ws and not ws.closed: msg = None try: msg = ws.receive() except geventwebsocket.WebSocketError, e: print('ws_recv exception:%s' % str(e)) if msg: try: ret = json.loads(msg) except: ret = msg return ret def application_combiz_platform(environ, start_response): global STATICRESOURCE_DIR global gConfig, gRequest, gSessionStore def proxy(environ): connection_timeout, network_timeout = 5.0, 10.0 proxy_type = '' if '/proxy_platform' in path_info: proxy_type = 'proxy_platform' if '/proxy_file' in path_info: proxy_type = 'proxy_file' if '/proxy_pay' in path_info: proxy_type = 'proxy_pay' try: connection_timeout = float(gConfig['combiz_platform'][proxy_type]['www_connection_timeout']) except: pass try: network_timeout = float(gConfig['combiz_platform'][proxy_type]['www_network_timeout']) except: pass return handle_http_proxy(environ, proxy_type, gConfig['combiz_platform'][proxy_type]['protocol'], gConfig['combiz_platform'][proxy_type]['host'], gConfig['combiz_platform'][proxy_type]['port'], '', connection_timeout, network_timeout) headers = {} headerslist = [] cookie_header = None body = '' statuscode = '200 OK' if not ip_check(environ, start_response): headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'your_ip_access_deny'}, ensure_ascii=True, indent=4) start_response(statuscode, headerslist) return [body] path_info = environ['PATH_INFO'] statuscode = '200 OK' if path_info[-1:] == '/': headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) elif check_is_static(path_info): statuscode, headers, body = handle_static(environ, path_info) elif len(path_info)>7 and path_info[:7] == '/proxy_': statuscode, headers, body = proxy(environ) else: statuscode, headers, body = handle_combiz_platform(environ) headers = CORS_header(headers) for k in headers: headerslist.append((k, headers[k])) #print(headerslist) start_response(statuscode, headerslist) return [body] def application_authorize_platform(environ, start_response): global STATICRESOURCE_DIR global gConfig, gRequest, gSessionStore headers = {} headerslist = [] cookie_header = None body = '' statuscode = '200 OK' if not ip_check(environ, start_response): headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'your_ip_access_deny'}, ensure_ascii=True, indent=4) start_response(statuscode, headerslist) return [body] path_info = environ['PATH_INFO'] if gSessionStore is None: gSessionStore = MongodbSessionStore(host=gConfig['authorize_platform']['mongodb']['host'], port=int(gConfig['authorize_platform']['mongodb']['port']), replicaset=gConfig['authorize_platform']['mongodb']['replicaset'], db = gConfig['authorize_platform']['mongodb']['database'], collection = gConfig['authorize_platform']['mongodb']['collection_session'], ) is_expire = False statuscode = '200 OK' if path_info[-1:] == '/': #path_info += gConfig['web']['indexpage'] #statuscode, headers, body = handle_static(environ, path_info) headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) elif check_is_static(path_info): statuscode, headers, body = handle_static(environ, path_info) else: with session_manager(environ): sess, cookie_header, is_expire = check_session(environ, gRequest, gSessionStore) if is_expire: headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) statuscode = '200 OK' body = json.dumps({'result':u'session_expired'}, ensure_ascii=True, indent=4) if sess: if not sess.has_key('ip'): sess['ip'] = environ['REMOTE_ADDR'] gSessionStore.save_if_modified(sess) else: statuscode, headers, body = handle_authorize_platform(environ, sess) headers = CORS_header(headers) if cookie_header: headerslist.append(cookie_header) for k in headers: headerslist.append((k, headers[k])) #print(headerslist) start_response(statuscode, headerslist) return [body] def application_chat_platform(environ, start_response): global STATICRESOURCE_DIR global gConfig, gRequest, gSessionStore headers = {} headerslist = [] cookie_header = None body = '' statuscode = '200 OK' if not ip_check(environ, start_response): headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'your_ip_access_deny'}, ensure_ascii=True, indent=4) start_response(statuscode, headerslist) return [body] path_info = environ['PATH_INFO'] #if gSessionStore is None: #gSessionStore = MongodbSessionStore(host=gConfig['chat_platform']['mongodb']['host'], #port=int(gConfig['chat_platform']['mongodb']['port']), #replicaset=gConfig['chat_platform']['mongodb']['replicaset'], #db = gConfig['chat_platform']['mongodb']['database'], #collection = gConfig['chat_platform']['mongodb']['collection_session'], #) #is_expire = False statuscode = '200 OK' if path_info[-1:] == '/': headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) elif check_is_static(path_info): statuscode, headers, body = handle_static(environ, path_info) else: #with session_manager(environ): #sess, cookie_header, is_expire = check_session(environ, gRequest, gSessionStore) #if is_expire: #headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) #statuscode = '200 OK' #body = json.dumps({'result':u'session_expired'}, ensure_ascii=True, indent=4) #if sess: #if not sess.has_key('ip'): #sess['ip'] = environ['REMOTE_ADDR'] #gSessionStore.save_if_modified(sess) #else: statuscode, headers, body = handle_chat_platform(environ, None) headers = CORS_header(headers) if cookie_header: headerslist.append(cookie_header) for k in headers: headerslist.append((k, headers[k])) #print(headerslist) start_response(statuscode, headerslist) return [body] def sign_and_send(thirdpay, method, href, data, need_sign=True): ret = None if thirdpay == 'alipay': ret = sign_and_send_alipay(method, href, data, need_sign) return ret def sign_and_send_alipay(method, href, data, need_sign=True): global gConfig qs = build_query_string(data) if need_sign: signed = get_sign_alipay(qs) qs += '&sign=%s' % signed qs += '&sign_type=%s' % gConfig['pay_platform']['alipay']['sign_type'] text = qs text = enc_by_code(gConfig['pay_platform']['alipay']['input_charset'], text) connection_timeout, network_timeout = float(gConfig['pay_platform']['alipay']['connection_timeout']), float(gConfig['pay_platform']['alipay']['network_timeout']) client = HTTPClient.from_url(href, concurrency=1, connection_timeout=connection_timeout, network_timeout=network_timeout, ) g = None if method == 'get': if not href[-1:] == '?': href += '?' href += urllib.quote(text) g = gevent.spawn(client.get, href) if method == 'post': postdata = urllib.quote(text) headers = {} headers['Content-Type'] = 'application/x-www-form-urlencoded; text/html; charset=%s' % str(gConfig['pay_platform']['alipay']['input_charset']) g = gevent.spawn(client.post, href, body=postdata, headers=headers) return g def fake_gateway_alipay_return(querydict): global gConfig sign_data = {} if querydict['service'] == 'refund_fastpay_by_platform_pwd': sign_data['is_success'] = 'T' #sign_data['refund_result'] = 'TRADE_PENDING' elif querydict['service'] == 'create_direct_pay_by_user': if querydict.has_key('out_trade_no'): sign_data['is_success'] = 'T' sign_data['notify_id'] = str(ObjectId()) sign_data['notify_time'] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") sign_data['notify_type'] = 'trade_status_sync' sign_data['out_trade_no'] = querydict['out_trade_no'] sign_data['partner'] = gConfig['fake_gateway_alipay']['alipay']['partner_id'] if querydict.has_key('seller_email'): sign_data['seller_email'] = querydict['seller_email'] if querydict.has_key('subject'): sign_data['subject'] = querydict['subject'] if querydict.has_key('buyer_email'): sign_data['buyer_email'] = querydict['buyer_email'] if querydict.has_key('total_fee'): sign_data['total_fee'] = querydict['total_fee'] #sign_data['trade_no'] = '' sign_data['trade_status'] = 'TRADE_PENDING' href = str(gConfig['pay_platform']['alipay']['return_url']) if querydict.has_key('return_url'): href = querydict['return_url'] sign_and_send_alipay('get', href, sign_data) else: print('fake_gateway_alipay_return out_trade_no required') def fake_gateway_alipay_notify(querydict): global gConfig def get_pay_log_rec_by_trade_no(trade_no): ret = None db_util.mongo_init_client('pay_platform') client = db_util.gClientMongo['pay_platform'] db = client['pay'] if 'pay_log' in db.collection_names(False): collection = db['pay_log'] ret = collection.find_one({"trade_no":trade_no}) return ret data = {} if querydict['service'] == 'refund_fastpay_by_platform_pwd': data['notify_time'] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") data['notify_type'] = 'batch_refund_notify' data['notify_id'] = str(ObjectId()) data['batch_no'] = querydict['batch_no'] data['success_num'] = '1' detail_data = querydict['detail_data'] arr = detail_data.split('^') trade_no = arr[0] refund_fee = float(arr[1]) result_details = '%s^%s^%s' % (arr[0], arr[1], 'SUCCESS') data['result_details'] = result_details href = str(gConfig['pay_platform']['alipay']['notify_url']) sign_and_send_alipay('post', href, data) rec = get_pay_log_rec_by_trade_no(trade_no) if rec: data = {} data['notify_type'] = 'trade_status_sync' data['out_trade_no'] = rec['out_trade_no'] data['refund_status'] = 'REFUND_SUCCESS' if refund_fee < rec['total_fee']: data['trade_status'] = 'TRADE_SUCCESS' else: data['trade_status'] = 'TRADE_CLOSED' sign_and_send_alipay('post', href, data) elif querydict['service'] == 'create_direct_pay_by_user': if querydict.has_key('out_trade_no'): data['out_trade_no'] = querydict['out_trade_no'] data['notify_id'] = str(ObjectId()) data['notify_time'] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") data['notify_type'] = 'trade_status_sync' data['partner'] = gConfig['fake_gateway_alipay']['alipay']['partner_id'] if querydict.has_key('buyer_email'): data['buyer_email' ] = querydict['buyer_email'] if querydict.has_key('seller_email'): data['seller_email'] = querydict['seller_email'] if querydict.has_key('subject'): data['subject'] = querydict['subject'] if querydict.has_key('total_fee'): data['total_fee'] = querydict['total_fee'] if querydict.has_key('paymethod') and querydict['paymethod'] == 'bankPay': data['bank_seq_no'] = datetime.datetime.now().strftime("%Y%m%d%H%M%S") data['trade_no'] = datetime.datetime.now().strftime("%Y%m%d%H%M%S") + str(ObjectId()) data['trade_status'] = 'TRADE_SUCCESS' href = str(gConfig['pay_platform']['alipay']['notify_url']) sign_and_send_alipay('post', href, data) else: print('fake_gateway_alipay_notify out_trade_no required') def fake_gateway_alipay_error_notify(querydict, error_code): global gConfig data = {} if querydict['service'] == 'refund_fastpay_by_platform_pwd': data['notify_time'] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") data['notify_type'] = 'batch_refund_notify' data['notify_id'] = str(ObjectId()) data['batch_no'] = querydict['batch_no'] data['success_num'] = '0' detail_data = querydict['detail_data'] arr = detail_data.split('^') result_details = '%s^%s^%s' % (arr[0], arr[1], error_code) data['result_details'] = result_details href = str(gConfig['pay_platform']['alipay']['notify_url']) if querydict.has_key('notify_url'): href = str(querydict['notify_url']) sign_and_send_alipay('post', href, data) elif querydict['service'] == 'create_direct_pay_by_user': data['partner'] = gConfig['fake_gateway_alipay']['alipay']['partner_id'] if querydict.has_key('out_trade_no'): data['out_trade_no'] = querydict['out_trade_no'] data['error_code'] = error_code if querydict.has_key('buyer_email'): data['buyer_email'] = querydict['buyer_email'] if querydict.has_key('seller_email'): data['seller_email'] = querydict['seller_email'] href = str(gConfig['pay_platform']['alipay']['error_notify_url']) sign_and_send_alipay('post', href, data, need_sign=False) else: print('fake_gateway_alipay_error_notify out_trade_no required') def dec_by_code(code, string): encode, decode, reader, writer = codecs.lookup(str(code)) text = string text, length = decode(text, 'replace') return text def enc_by_code(code, string): encode, decode, reader, writer = codecs.lookup(str(code)) text = string text, length = encode(text, 'replace') return text def handle_fake_gateway_alipay(environ, error_code_pay=None, error_code_refund=None): global ENCODING global gConfig headers = {} headers['Content-Type'] = 'text/json;charset=' + ENCODING statuscode = '200 OK' body = '' d = {} querydict = {} querystring = '' querystring1 = '' if environ.has_key('QUERY_STRING'): querystring = environ['QUERY_STRING'] querydict = urlparse.parse_qs(querystring) for key in querydict.keys(): d[key] = querydict[key][0] querydict = d if not environ.has_key('QUERY_STRING') or len(environ['QUERY_STRING'])==0: buf = environ['wsgi.input'].read() querystring = urllib.unquote_plus(buf) querystring = dec_by_code(gConfig['pay_platform']['alipay']['input_charset'], querystring) querydict = urlparse.parse_qs(querystring) d = {} for key in querydict.keys(): d[key] = querydict[key][0] querydict = d try: querystring1 = querystring[:querystring.index('&sign=')] except: pass try: querystring1 = querystring1[:querystring1.index('&sign_type=')] except: pass signed1 = None if querydict['service'] == 'create_direct_pay_by_user': fake_gateway_alipay_return(querydict) if querydict['service'] == 'refund_fastpay_by_platform_pwd': headers['Content-Type'] = 'text/xml;charset=' + ENCODING body = '<?xml version="1.0" encoding="UTF-8"?><IS_SUCCESS>T</IS_SUCCESS>' gevent.sleep(float(gConfig['fake_gateway_alipay']['alipay']['process_second'])) #print(querydict) if querydict.has_key('sign') and querydict.has_key('sign_type') and querydict.has_key('_input_charset'): ok = check_sign_alipay(querydict['_input_charset'], querydict['sign'], querydict['sign_type'], querystring1) if ok: error_code = error_code_pay if error_code is None: error_code = error_code_refund if error_code: fake_gateway_alipay_error_notify(querydict, error_code) else: fake_gateway_alipay_notify(querydict) else: print('signature check error') fake_gateway_alipay_error_notify(querydict, 'ILLEGAL_SIGN') else: print('need sign or sign_type or _input_charset') return statuscode, headers, body def application_fake_gateway_alipay(environ, start_response): global STATICRESOURCE_DIR global gConfig, gSecurityConfig headers = {} headerslist = [] body = '' statuscode = '200 OK' path_info = environ['PATH_INFO'] statuscode = '200 OK' if path_info[-1:] == '/': headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) elif check_is_static(path_info): statuscode, headers, body = handle_static(environ, path_info) elif path_info == '/gateway.do': error_code_pay = gConfig['fake_gateway_alipay']['alipay']['error_code_pay'] error_code_refund = gConfig['fake_gateway_alipay']['alipay']['error_code_refund'] if len(error_code_pay) == 0: error_code_pay = None if error_code_pay and not gSecurityConfig['alipay']['error_code'].has_key(error_code_pay): error_code_pay = None if len(error_code_refund) == 0: error_code_refund = None if error_code_refund and not gSecurityConfig['alipay']['error_code'].has_key(error_code_refund): error_code_refund = None statuscode, headers, body = handle_fake_gateway_alipay(environ, error_code_pay, error_code_refund) headers = CORS_header(headers) for k in headers: headerslist.append((k, headers[k])) start_response(statuscode, headerslist) return [body] def application_pay_platform(environ, start_response): global STATICRESOURCE_DIR global gConfig, gWebSocketsMap, gJoinableQueue def check_is_static(aUrl): ret = False surl = dec(aUrl) if surl[0:2] == '//': surl = surl[2:] if surl[0] == '/': surl = surl[1:] p = os.path.join(STATICRESOURCE_DIR , surl) isBin = False ext = os.path.splitext(p)[1] if '.' in surl: ext = surl[surl.rindex('.'):] else: ext = os.path.splitext(p)[1] if len(ext)>0 and gConfig['mime_type'].has_key(ext): ret = True return ret def handle_websocket(environ): ws = get_websocket(environ) app = gConfig['wsgi']['application'] interval = 1.0 try: interval = float(gConfig[app]['websocket']['interval_poll']) except: interval = 1.0 while ws and not ws.closed: obj = ws_recv(environ) if obj and isinstance(obj, dict) and obj.has_key('op'): if obj['op'] == 'queue_size': qsize = 0 if gJoinableQueue: qsize = gJoinableQueue.qsize() ws.send(json.dumps({'queue_size':qsize}, ensure_ascii=True, indent=4)) else: try: ws.send('') except: for k in gWebSocketsMap.keys(): if gWebSocketsMap[k] is ws: gWebSocketsMap[k].close() del gWebSocketsMap[k] break gevent.sleep(interval) if ws and ws.closed: del ws headers = {} headerslist = [] body = '' statuscode = '200 OK' if not ip_check(environ, start_response): headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'your_ip_access_deny'}, ensure_ascii=True, indent=4) start_response(statuscode, headerslist) return [body] path_info = environ['PATH_INFO'] headerslist = [] statuscode = '200 OK' #print('path_info=%s' % path_info) if path_info[-1:] == '/': headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) body = json.dumps({'result':u'access_deny'}, ensure_ascii=True, indent=4) elif check_is_static(path_info): statuscode, headers, body = handle_static(environ, path_info) elif path_info == '/pay': statuscode, headers, body = handle_pay(environ) elif path_info == '/refund': statuscode, headers, body = handle_refund(environ) elif path_info == '/query': statuscode, headers, body = handle_pay_getinfo(environ) elif path_info == '/alipay_return_url': headerslist.append(('Content-Type', 'text/plain;charset=' + ENCODING)) handle_alipay_return_url(environ) elif path_info == '/alipay_notify_url': headerslist.append(('Content-Type', 'text/plain;charset=' + ENCODING)) handle_alipay_notify_url(environ) body = 'success' elif path_info == '/alipay_error_notify_url': headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) handle_alipay_error_notify_url(environ) headers = CORS_header(headers) for k in headers: headerslist.append((k, headers[k])) #print(headerslist) start_response(statuscode, headerslist) if path_info == '/websocket': handle_websocket(environ) return [body] def handle_http_proxy(environ, proxy_placeholder='proxy', real_protocol='http', real_host='localhost', real_port='80', token='', connection_timeout=5.0, network_timeout=10.0, request_headers={}): global ENCODING, gHttpClient, gRequest, gProxyRequest path_info = environ['PATH_INFO'] if environ.has_key('QUERY_STRING') and len(environ['QUERY_STRING'])>0: path_info += '?' + environ['QUERY_STRING'] request = None if gProxyRequest is None: request = Request(environ) else: request = gProxyRequest method = request.method.lower() data = request.get_data() headers = {} for i in request.headers: headers[i[0]] = enc(i[1]) for k in request_headers.keys(): headers[k] = request_headers[k] headers['Host'] = real_host #for k in headers.keys(): #print('%s=%s' % (k, headers[k])) href = '%s://%s:%s%s' % (real_protocol, real_host, real_port, path_info.replace('/%s/' % proxy_placeholder, '/')) if '?' in href: href += '&' else: href += '?'; href += 'token=%s&random=%d' % ( token, random.randint(0,100000) ) print('proxy to %s' % href) header = {'Content-Type': 'application/json;charset=' + ENCODING, 'Cache-Control': 'no-cache'} ret = '' url = URL(href) if not gHttpClient.has_key('http_proxy'): gHttpClient['http_proxy'] = HTTPClient(url.host, port=url.port, connection_timeout=connection_timeout, network_timeout=network_timeout, concurrency=200) client = gHttpClient['http_proxy'] response = None try: if method == 'get': response = client.get(url.request_uri, headers) elif method == 'put': response = client.put(url.request_uri, data, headers) elif method == 'delete': response = client.delete(url.request_uri, data, headers) elif method == 'post': response = client.post(url.request_uri, data, headers) except Exception,e: idx = 0 e1 = e while (e1.errno == 10053 or e1.errno == 10054) and idx < 4: idx += 1 print('encounter 10053 error, trying %d reconnecting...' % idx) try: if method == 'get': response = client.get(url.request_uri, headers) elif method == 'put': response = client.put(url.request_uri, data, headers) elif method == 'delete': response = client.delete(url.request_uri, data, headers) elif method == 'post': response = client.post(url.request_uri, data, headers) break except Exception,e2: e1 = e2 if idx >= 4: raise e1 if response: if hasattr(response, 'status_code'): if response.status_code == 200 or response.status_code == 304: ret = response.read() # print(ret) header = {} for k in response._headers_index.keys(): if not k in ['transfer-encoding', ]: v = response._headers_index[k] if '-' in k: k = '-'.join([i.capitalize() for i in k.split('-')]) else: k = k.capitalize() header[k] = v else: msg = 'handle_http_proxy response error:%d' % response.status_code ret = json.dumps({'result':msg}, ensure_ascii=True, indent=4) #raise Exception(msg) else: raise Exception('handle_http_proxy error: response has no status_code') else: raise Exception('handle_http_proxy error') return '200 OK', header, ret def application_webgis(environ, start_response): global ENCODING global gConfig, gRequest, gSessionStore, gWebSocketsMap def handle_websocket(environ): key = str(gevent.getcurrent().__hash__()) ws = get_websocket(environ) if not gWebSocketsMap.has_key(key): gWebSocketsMap[key] = ws app = gConfig['wsgi']['application'] interval = 1.0 try: interval = float(gConfig[app]['websocket']['interval_poll']) except: interval = 1.0 while ws and not ws.closed: obj = ws_recv(environ) if obj and isinstance(obj, dict) and obj.has_key('op'): if obj['op'] == 'queue_size': qsize = 0 if gJoinableQueue: qsize = gJoinableQueue.qsize() ws.send(json.dumps({'queue_size':qsize}, ensure_ascii=True, indent=4)) if obj['op'] == 'turn_on_sound': ws.send('') else: try: ws.send('') except: for k in gWebSocketsMap.keys(): if gWebSocketsMap[k] is ws: gWebSocketsMap[k].close() del gWebSocketsMap[k] break gevent.sleep(interval) if ws and ws.closed: del ws return '200 OK', {}, '' def proxy(environ, request_headers={}): global gConfig connection_timeout, network_timeout = 5.0, 10.0 try: connection_timeout = float(gConfig['webgis']['anti_bird']['www_connection_timeout']) except: pass try: network_timeout = float(gConfig['webgis']['anti_bird']['www_network_timeout']) except: pass token = md5.new('bird%s' % time.strftime('%Y%m%d')).hexdigest() path_info = environ['PATH_INFO'] if '/hasBird' in path_info: request_headers['Content-Type'] = 'application/json' return handle_http_proxy(environ, 'proxy', 'http', gConfig['webgis']['anti_bird']['tcp_host'], gConfig['webgis']['anti_bird']['http_port'], token, connection_timeout, network_timeout, request_headers) # def get_anti_bird_list_from_cache(): # ret = '{"result":"get_anti_bird_list_from_cache_error:cannot connect to db"}' # arr = [] # if gConfig['webgis'].has_key('anti_bird') and gConfig['webgis']['anti_bird'].has_key('mongodb'): # db_util.mongo_init_client('anti_bird') # db = db_util.gClientMongo['anti_bird'][gConfig['webgis']['anti_bird']['mongodb']['database']] # collection = db[gConfig['webgis']['anti_bird']['mongodb']['detector_collection']] # arr = db_util.remove_mongo_id(list(collection.find({}))) # ret = json.dumps(arr, ensure_ascii=True, indent=4) # return ret # # def get_latest_records_from_cache(): # ret = '{"result":"get_latest_records_from_cache_error:cannot connect to db"}' # arr = [] # if gConfig['webgis'].has_key('anti_bird') and gConfig['webgis']['anti_bird'].has_key('mongodb'): # db_util.mongo_init_client('anti_bird') # db = db_util.gClientMongo['anti_bird'][gConfig['webgis']['anti_bird']['mongodb']['database']] # collection = db[gConfig['webgis']['anti_bird']['mongodb']['detector_collection']] # arr = db_util.remove_mongo_id(list(collection.find({}))) # ret = json.dumps(arr, ensure_ascii=True, indent=4) # return ret def set_cookie(key, value): secure = False if gConfig['listen_port']['enable_ssl'].lower() == 'true': secure = True max_age = 60 try: session_age = int(gConfig['webgis']['session']['session_age']) except: pass # cookie = ('Set-Cookie', dump_cookie(key, value, domain=str(gConfig['webgis']['session']['session_domain']), max_age=session_age, secure=secure)) cookie = ('Set-Cookie', dump_cookie(key, value, max_age=session_age, secure=secure)) return cookie def get_cookie_data(request, key=None): string = '{}' if request: string = request.cookies.get('session_data') ret = None if string and len(string)>0: try: ret = json.loads(string) if key and ret.has_key(key): ret = ret[key] else: ret = None except: pass return ret def set_cookie_data(request, data): string = '{}' ret = None if request: string = request.cookies.get('session_data') if string and len(string)>0: try: obj = json.loads(string) if isinstance(obj, dict) and isinstance(data, dict): for key in data.keys(): obj[key] = data[key] string = json.dumps(obj) ret = set_cookie('session_data', string) except: pass return ret def session_handle(environ, request, session_store): sid = get_cookie_data(request, 'session_id') sess = None cookie = None is_expire = False if sid is None or len(sid)==0: request.session = session_store.new() # session_store.save(request.session) sess = request.session cookie = set_cookie_data(None, {'session_id': request.session.sid}) is_expire = True else: request.session = session_store.get(sid) if request.session: o = {'session_id': request.session.sid} for k in request.session.keys(): if not k in [u'password',]: o[k] = request.session[k] cookie = set_cookie_data(request, o) session_store.save_if_modified(request.session) else: cookie = set_cookie('session_data', '{}') is_expire = True # if request.session.should_save: # session_store.save(request.session) sess = request.session return sess, cookie, is_expire def handle_login(environ): ret = None querydict, buf = get_querydict_by_GET_POST(environ) if querydict.has_key('db') and querydict.has_key('collection') and querydict.has_key('username') and querydict.has_key('password'): ret = db_util.mongo_find_one(querydict['db'], querydict['collection'], {'username':querydict['username'], 'password':querydict['password']}) return ret def handle_state_examination(environ): def get_collection(collection): ret = None db_util.mongo_init_client('webgis') db = db_util.gClientMongo['webgis'][gConfig['webgis']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret def state_examination_save(querydict): def modifier(adict = {}): for k in adict.keys(): if not k in ['_id', 'check_year']: adict[k] = adict[k].strip() if k == 'line_name': adict[k] = adict[k].replace('-', '')\ .replace('500kV', '').replace('220kV', '').replace('110kV', '').replace('35kV', '').replace('10kV', '')\ .replace(u'Ⅱ', 'II').replace(u'Ⅰ', 'I') if adict[k][-1] == u'回': adict[k] = adict[k].replace( u'回', u'回线') if not adict[k][-1] == u'线': adict[k] = adict[k] + u'线' if k == 'line_state' or 'unit_' in k: adict[k] = adict[k].replace(u'正常', 'I').replace(u'注意', 'II').replace(u'异常', 'III').replace(u'严重', 'IV') return adict ret = [] collection = get_collection('state_examination') if isinstance(querydict, dict) and querydict.has_key('line_name') and querydict.has_key('check_year'): querydict['line_name'] = querydict['line_name'].strip() existone = collection.find_one({'line_name':querydict['line_name'].strip(), 'check_year':querydict['check_year']}) if existone: querydict['_id'] = str(existone['_id']) querydict = modifier(querydict) _id = collection.save(db_util.add_mongo_id(querydict)) ret = collection.find_one({'_id':_id}) if ret: ret = db_util.remove_mongo_id(ret) if isinstance(querydict, list): for i in querydict: i = modifier(i) existone = collection.find_one({'line_name':i['line_name'], 'check_year':i['check_year']}) if existone: i['_id'] = str(existone['_id']) collection.save(db_util.add_mongo_id(i)) return json.dumps(ret, ensure_ascii=True, indent=4) def state_examination_query_line_names(querydict): ret = [] collection = get_collection('state_examination') pipeline = [ # {'$unwind':'$line_name'}, {"$group": {"_id": "$line_name", "count": {"$sum": 1}}}, ] ret = list(collection.aggregate(pipeline)) ret = map(lambda x:x['_id'], ret) return json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) def state_examination_query(querydict): ret = [] collection = get_collection('state_examination') if isinstance(querydict, dict): # print(querydict) ret = list(collection.find(db_util.add_mongo_id(querydict))) return json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) def state_examination_delete(querydict): ret = [] collection = get_collection('state_examination') if isinstance(querydict, dict): if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.remove({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'record_not_exist' }, ensure_ascii=True, indent=4) if isinstance(querydict['_id'], list): ids = db_util.add_mongo_id(querydict['_id']) cond = {'_id':{'$in':ids}} collection.remove(cond) ret = json.dumps(db_util.remove_mongo_id(querydict['_id']), ensure_ascii=True, indent=4) return json.dumps(ret, ensure_ascii=True, indent=4) statuscode, headers, body = '200 OK', {}, '' urls = gUrlMap.bind_to_environ(environ) querydict, buf = get_querydict_by_GET_POST(environ) endpoint, args = urls.match() if args.has_key('_id') and isinstance(querydict, dict): querydict['_id'] = args['_id'] if endpoint == 'state_examination_save': body = state_examination_save(querydict) elif endpoint == 'state_examination_query': body = state_examination_query(querydict) elif endpoint == 'state_examination_delete': body = state_examination_delete(querydict) elif endpoint == 'state_examination_query_line_names': body = state_examination_query_line_names(querydict) return statuscode, headers, body def handle_antibird(environ): global gConfig, gUrlMap, ENCODING def init_list(environ): ret = [] s = '{"result":"unknown how to get anti bird list"}' # if gConfig['webgis'].has_key('anti_bird') and gConfig['webgis']['anti_bird'].has_key('fetch_from_www') and gConfig['webgis']['anti_bird']['fetch_from_www'].lower() == 'true': if True: environ['PATH_INFO'] = '/proxy/api/detector' environ['QUERY_STRING'] = '' code, header, s = proxy(environ) # if gConfig['webgis'].has_key('anti_bird') and gConfig['webgis']['anti_bird'].has_key('fetch_from_www') and gConfig['webgis']['anti_bird']['fetch_from_www'].lower() == 'false': # if False: # s = get_anti_bird_list_from_cache() try: if len(s)>0: obj = json.loads(s) if isinstance(obj, dict) : if obj.has_key('result'): print('antibird/init_list error:%s' % obj['result']) else: if obj.has_key('_id'): if obj.has_key('imei'): obj['label'] = obj['imei'] obj['value'] = obj['imei'] ret = [obj, ] else: print('antibird/init_list error: unknown error') ret = [] elif isinstance(obj, list) : for i in obj: idx = obj.index(i) if i.has_key('imei'): i['label'] = i['imei'] i['value'] = i['imei'] obj[idx] = i ret = obj except Exception,e: raise return ret def get_latest_records(environ, querydict): ret = [] objstr = '' if querydict.has_key('imei') and len(querydict['imei'])>0: records_num = 1 if querydict.has_key('records_num') and len(querydict['records_num'])>0: records_num = int(querydict['records_num']) href = '/proxy/api/detector/%s/log/%d' % (querydict['imei'], records_num) environ['PATH_INFO'] = href environ['QUERY_STRING'] = '' status, header, objstr = proxy(environ) if len(objstr)>0: try: obj = json.loads(objstr) if isinstance(obj, dict) : if obj.has_key('result'): print('antibird/get_latest_records error:%s' % obj['result']) else: if obj.has_key('_id'): ret = [obj, ] else: print('antibird/get_latest_records error: unknown error') ret = [] elif isinstance(obj, list) : ret = obj except: e = sys.exc_info()[1] if hasattr(e, 'message'): print('antibird/get_latest_records error:%s' % e.message) else: print('antibird/get_latest_records error:%s' % str(e)) for item in ret: idx = ret.index(item) if item.has_key('picture') and isinstance(item['picture'], list): for i in item['picture']: idx1 = item['picture'].index(i) item['picture'][idx1] = '/proxy/api/image/%s' % i ret[idx] = item return ret def get_latest_records_by_imei(environ, querydict): ret = get_latest_records(environ, querydict) return json.dumps(ret, ensure_ascii=True, indent=4) def get_equip_list(environ, querydict): ret = '' is_filter_used=False if querydict.has_key('is_filter_used') and querydict['is_filter_used'] is True: is_filter_used = True equip_list = init_list(environ) if not is_filter_used: ret = json.dumps(equip_list, ensure_ascii=True, indent=4) else: exist = [] l = db_util.mongo_find( gConfig['webgis']['mongodb']['database'], 'features', { "properties.webgis_type":"point_tower", "properties.metals":{ "$elemMatch":{ "type":u"多功能驱鸟装置" } } }, 0, 'webgis' ) for i in l: for j in i['properties']['metals']: if isinstance(j, dict) and j.has_key('imei'): if not j['imei'] in exist: exist.append(j['imei']) while len(exist)>0: i0 = exist[0] for i in equip_list: if i['imei'] == i0: equip_list.remove(i) exist.remove(i0) break ret = json.dumps(equip_list, ensure_ascii=True, indent=4) return ret def equip_tower_mapping(querydict): ret = {} if querydict.has_key('imei'): l = db_util.mongo_find( gConfig['webgis']['mongodb']['database'], 'features', { "properties.webgis_type":"point_tower", "properties.metals":{ "$elemMatch":{ "type":u"多功能驱鸟装置", "imei":querydict['imei'] } } }, 0, 'webgis' ) if len(l)>0: obj = {} obj['tower_id'] = l[0]['_id'] obj['name'] = l[0]['properties']['name'] obj['lng'] = l[0]['geometry']['coordinates'][0] obj['lat'] = l[0]['geometry']['coordinates'][1] obj['alt'] = l[0]['geometry']['coordinates'][2] ret[querydict['imei']] = obj else: l = db_util.mongo_find( gConfig['webgis']['mongodb']['database'], 'features', { "properties.webgis_type":"point_tower", "properties.metals":{ "$elemMatch":{ "type":u"多功能驱鸟装置", } } }, 0, 'webgis' ) for i in l: for j in i['properties']['metals']: if j.has_key('type') and j['type'] == u'多功能驱鸟装置' and j.has_key('imei') and len(j['imei'])>0: obj = {} obj['tower_id'] = i['_id'] obj['name'] = i['properties']['name'] obj['lng'] = i['geometry']['coordinates'][0] obj['lat'] = i['geometry']['coordinates'][1] obj['alt'] = i['geometry']['coordinates'][2] ret[j['imei']] = obj ret = json.dumps(ret, ensure_ascii=True, indent=4) return ret statuscode, headers, body = '200 OK', {}, '' urls = gUrlMap.bind_to_environ(environ) querydict, buf = get_querydict_by_GET_POST(environ) endpoint, args = urls.match() if args.has_key('_id') and isinstance(querydict, dict): querydict['_id'] = args['_id'] if args.has_key('imei') and isinstance(querydict, dict): querydict['imei'] = args['imei'] if args.has_key('records_num') and isinstance(querydict, dict): querydict['records_num'] = args['records_num'] if endpoint == 'get_equip_list': body = get_equip_list(environ, querydict) elif endpoint == 'get_latest_records_by_imei': body = get_latest_records_by_imei(environ, querydict) elif endpoint == 'equip_tower_mapping': body = equip_tower_mapping(querydict) return statuscode, headers, body def handle_bayesian(environ): def get_collection(collection): ret = None db_util.mongo_init_client('webgis') db = db_util.gClientMongo['webgis'][gConfig['webgis']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret # def convert_strkey_to_bool(obj): # if isinstance(obj, list): # for i in range(0, len(obj)): # obj[i] = convert_strkey_to_bool(obj[i]) # if isinstance(obj, dict): # for k in obj.keys(): # if k in ['true', u'true']: # obj[True] = obj[k] # del obj['true'] # del obj[u'true'] # elif k in ['false', u'false']: # obj[False] = obj[k] # del obj['false'] # del obj[u'false'] # obj[k] = convert_strkey_to_bool(obj[k]) # # return obj def save_by_id(querydict, collection_name): ret = [] collection = get_collection(collection_name) if isinstance(querydict, list): ids = [] for i in querydict: if i['_id'] is None: del i['_id'] id = collection.save(db_util.add_mongo_id(i)) if id: ids.append(id) ret = list(collection.find({'_id':{'$in':ids}})) elif isinstance(querydict, dict): id = collection.save(db_util.add_mongo_id(querydict)) ret = collection.find_one({'_id':id}) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) return ret def delete_by_id(querydict, collection_name): ret = '' collection = get_collection(collection_name) if querydict.has_key('_id'): if isinstance(querydict['_id'], str) or isinstance(querydict['_id'], unicode): existone = collection.find_one({'_id':db_util.add_mongo_id(querydict['_id'])}) if existone: collection.remove({'_id':existone['_id']}) ret = json.dumps(db_util.remove_mongo_id(existone), ensure_ascii=True, indent=4) else: ret = json.dumps({'result':u'record_not_exist' }, ensure_ascii=True, indent=4) if isinstance(querydict['_id'], list): ids = db_util.add_mongo_id(querydict['_id']) cond = {'_id':{'$in':ids}} collection.remove(cond) ret = json.dumps(db_util.remove_mongo_id(querydict['_id']), ensure_ascii=True, indent=4) return ret def bayesian_query_domains_range(querydict): ret = [] collection = get_collection('bayesian_domains_range') ret = list(collection.find({})) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) return ret def bayesian_save_domains_range(querydict): return save_by_id(querydict, 'bayesian_domains_range') def bayesian_delete_domains_range(querydict): return delete_by_id(querydict, 'bayesian_domains_range') def bayesian_query_node(querydict): ret = [] if querydict.has_key('line_name') and len(querydict['line_name']): collection = get_collection('bayesian_nodes') ret = list(collection.find({'line_name':querydict['line_name']})) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) return ret def bayesian_query_graphiz(querydict): ret = '' if querydict.has_key('line_name') and len(querydict['line_name']): g = create_bbn_by_line_name(querydict['line_name']) dpi = 100 rankdir = 'LL' if querydict.has_key('dpi') and len(querydict['dpi']): dpi = int(querydict['dpi']) if querydict.has_key('rankdir') and len(querydict['rankdir']): rankdir = querydict['rankdir'] ret = g.get_graphviz_source(dpi, rankdir) return enc(ret) def bayesian_save_node(querydict): return save_by_id(querydict, 'bayesian_nodes') def bayesian_delete_node(querydict): ret = '[]' delete_by_id(querydict, 'bayesian_nodes') collection = get_collection('bayesian_nodes') if querydict.has_key('names'): if isinstance(querydict['names'], list): # names = [str(i) for i in querydict['names']] names = querydict['names'] l = list(collection.find({'conditions': {'$elemMatch': {'$elemMatch': {'$elemMatch': {'$elemMatch':{'$in': names}}}}}})) for i in l: existlist = [] conditions = [] for ii in i['conditions']: idx = i['conditions'].index(ii) tmp = [] for iii in ii[0]: # idx1 = ii[0].index(iii) if not iii[0] in names: tmp.append(iii) ii[0] = tmp i['conditions'][idx] = ii for ii in i['conditions']: key = '' for iii in ii[0]: key += iii[0] + ':' + iii[1] + '|' if not key in existlist: existlist.append(key) conditions.append(ii) i['conditions'] = conditions collection.save(i) if querydict.has_key('line_name') and len(querydict['line_name'])>0: ret = bayesian_query_node(querydict) return ret def bayesian_query_predict(querydict): ret = [] if querydict.has_key('line_name') and len(querydict['line_name']): g = create_bbn_by_line_name(querydict['line_name']) del querydict['line_name'] qd = {} querymulti = False for k in querydict.keys(): if isinstance(querydict[k], unicode): qd[str(k)] = str(querydict[k]) elif isinstance(querydict[k], list) and k == u'line_state': querymulti = True else: qd[str(k)] = querydict[k] if querymulti: for i in querydict['line_state']: qd['line_state'] = str(i) ret.append({'line_state':i, 'result':bayes_util.query_bbn_condition(g, **qd)}) else: ret = bayes_util.query_bbn_condition(g, **qd) ret = json.dumps(ret, ensure_ascii=True, indent=4) return ret def reset_unit_by_line_name(line_name): collection = get_collection('bayesian_nodes') units = list(collection.find({'line_name':line_name, 'name':{'$regex':'^unit_[0-9]$'}})) data = bayes_util.get_state_examination_data_by_line_name(line_name) o = bayes_util.calc_probability_unit(data) for unit in units: if o.has_key(unit['name']): unit['conditions'] = o[unit['name']] # print(unit['name']) # print(unit['conditions']) collection.save(unit) ret = list(collection.find({'line_name':line_name}).sort('name', pymongo.ASCENDING)) return ret def bayesian_reset_unit(querydict): ret = [] if querydict.has_key('line_name') and len(querydict['line_name']): ret = reset_unit_by_line_name(querydict['line_name']) ret = json.dumps(db_util.remove_mongo_id(ret), ensure_ascii=True, indent=4) return ret def build_additional_condition(line_name, cond): ret = cond collection = get_collection('bayesian_nodes') l = list(collection.find({'line_name':line_name})) for node in l: ret[node['name']] = node['conditions'] return ret def create_bbn_by_line_name(line_name): cond = bayes_util.build_state_examination_condition(line_name) cond = build_additional_condition(line_name, cond) g = None if bayes_util.USE_C_MODULE: print('using c-accelerate module...') g = bayes_util.build_bbn_from_conditionals(cond) else: print('using pure-python module...') g = bayes_util.build_bbn_from_conditionals_plus(cond) return g statuscode, headers, body = '200 OK', {}, '' urls = gUrlMap.bind_to_environ(environ) querydict, buf = get_querydict_by_GET_POST(environ) endpoint, args = urls.match() if args.has_key('_id') and isinstance(querydict, dict): querydict['_id'] = args['_id'] if endpoint == 'bayesian_query_node': body = bayesian_query_node(querydict) elif endpoint == 'bayesian_save_node': body = bayesian_save_node(querydict) elif endpoint == 'bayesian_query_predict': body = bayesian_query_predict(querydict) elif endpoint == 'bayesian_reset_unit': body = bayesian_reset_unit(querydict) elif endpoint == 'bayesian_query_graphiz': body = bayesian_query_graphiz(querydict) headers['Content-Type'] = 'text/plain' elif endpoint == 'bayesian_delete_node': body = bayesian_delete_node(querydict) elif endpoint == 'bayesian_save_domains_range': body = bayesian_save_domains_range(querydict) elif endpoint == 'bayesian_delete_domains_range': body = bayesian_delete_domains_range(querydict) elif endpoint == 'bayesian_query_domains_range': body = bayesian_query_domains_range(querydict) return statuscode, headers, body headers = {} headerslist = [] cookie_header = None statuscode = '200 OK' body = '' path_info = environ['PATH_INFO'] if 'proxy.cgi' in path_info: statuscode, headers, body = handle_proxy_cgi(environ) elif path_info == '/test': statuscode, headers, body = handle_test(environ) elif path_info == '/get': statuscode, headers, body = handle_get_method(environ) elif path_info == '/post': statuscode, headers, body = handle_post_method(environ) elif path_info == '/wmts': statuscode, headers, body = handle_wmts(environ) elif path_info == '/tiles': statuscode, headers, body = handle_tiles(environ) elif '/arcgistile' in path_info: statuscode, headers, body = handle_arcgistile(environ) elif path_info == '/terrain/layer.json' or path_info[-8:] == '.terrain': statuscode, headers, body = handle_terrain(environ) #elif path_info[-8:] == '.terrain': #return handle_terrain1(environ) # elif path_info == '/wfs': # statuscode, headers, body = handle_wfs(environ) elif path_info =='/create_cluster' or path_info =='/kill_cluster': statuscode, headers, body = handle_cluster(environ) elif path_info == '/websocket': statuscode, headers, body = handle_websocket(environ) elif len(path_info)>6 and path_info[:6] == '/proxy': statuscode, headers, body = proxy(environ) headers['Cache-Control'] = 'no-cache' # elif path_info == '/anti_bird_equip_list': # statuscode, headers, body = anti_bird_equip_list(environ) # elif path_info == '/anti_bird_equip_tower_mapping': # statuscode, headers, body = anti_bird_equip_tower_mapping(environ) # elif path_info == '/anti_bird_get_latest_records_by_imei': # statuscode, headers, body = anti_bird_get_latest_records_by_imei(environ) else: if path_info[-1:] == '/': path_info = gConfig['web']['indexpage'] if str(gConfig['webgis']['session']['enable_session'].lower()) == 'true' : # and path_info in ['/login', '/logout', gConfig['web']['loginpage'], gConfig['web']['indexpage'], gConfig['web']['mainpage']]: if gSessionStore is None: gSessionStore = FilesystemSessionStore() is_expire = False with session_manager(environ): sess, cookie_header, is_expire = session_handle(environ, gRequest, gSessionStore) if path_info == str(gConfig['web']['unauthorizedpage']): if not sess.has_key('ip'): sess['ip'] = environ['REMOTE_ADDR'] gSessionStore.save_if_modified(sess) headerslist.append(('Content-Type', str(gConfig['mime_type']['.html']))) headerslist.append(cookie_header) statuscode, headers, body = handle_static(environ, gConfig['web']['unauthorizedpage']) start_response('401 Unauthorized', headerslist) return [body] if path_info == '/logout': gSessionStore.delete(sess) sess, cookie_header, is_expire = session_handle(environ, gRequest, gSessionStore) headerslist.append(cookie_header) headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) start_response('200 OK', headerslist) return [json.dumps({'result':u'ok'}, ensure_ascii=True, indent=4)] if is_expire: if not sess.has_key('ip'): sess['ip'] = environ['REMOTE_ADDR'] gSessionStore.save_if_modified(sess) headerslist.append(('Content-Type', str(gConfig['mime_type']['.html']))) headerslist.append(cookie_header) statuscode, headers, body = handle_static(environ, gConfig['web']['unauthorizedpage']) start_response('401 Unauthorized', headerslist) return [body] # headerslist.append(('Location', str(gConfig['web']['expirepage']))) # start_response('302 Redirect', headerslist) # return [''] # headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) # statuscode = '200 OK' # body = json.dumps({'result':u'session_expired'}, ensure_ascii=True, indent=4) if path_info == '/login': user = handle_login(environ) if user: sess = gSessionStore.session_class(user, sess.sid, False) sess['username'] = user['username'] cookie_header = set_cookie_data(gRequest, {'_id':user['_id'], 'username': user['username'], 'displayname': user['displayname']}) gSessionStore.save_if_modified(sess) headerslist.append(cookie_header) headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) start_response('200 OK', headerslist) return [json.dumps(sess, ensure_ascii=True, indent=4)] else: headerslist.append(cookie_header) headerslist.append(('Content-Type', 'text/json;charset=' + ENCODING)) start_response('200 OK', headerslist) return [json.dumps({'result':u'用户名或密码错误'}, ensure_ascii=True, indent=4)] if path_info == str(gConfig['web']['mainpage']): #401 Unauthorized #if session_id is None or token is None: headerslist.append(('Content-Type', str(gConfig['mime_type']['.html']))) headerslist.append(cookie_header) if sess is None or len(sess.keys())==0 or len(sess.sid)==0 or not sess.has_key('username'): statuscode, headers, body = handle_static(environ, gConfig['web']['unauthorizedpage']) statuscode = '401 Unauthorized' start_response(statuscode, headerslist) return [body] if not is_expire and len(sess.sid)>0: if 'state_examination' in path_info: statuscode, headers, body = handle_state_examination(environ) elif 'bayesian/' in path_info: statuscode, headers, body = handle_bayesian(environ) elif 'antibird/' in path_info: statuscode, headers, body = handle_antibird(environ) else: statuscode, headers, body = handle_static(environ, path_info) else: if path_info == '/login' and str(gConfig['webgis']['session']['enable_session'].lower()) != 'true': path_info = gConfig['web']['mainpage'] if 'state_examination/' in path_info: statuscode, headers, body = handle_state_examination(environ) elif 'antibird/' in path_info: statuscode, headers, body = handle_antibird(environ) elif 'bayesian/' in path_info: statuscode, headers, body = handle_bayesian(environ) else: statuscode, headers, body = handle_static(environ, path_info) #headkeys = set([i[0] for i in headerslist]) headers = CORS_header(headers) if cookie_header: headerslist.append(cookie_header) for k in headers: headerslist.append((k, headers[k])) #print(headerslist) # headerslist = add_to_headerlist(headerslist, 'Cache-Control', 'no-cache') # print(headerslist) start_response(statuscode, headerslist) return [body] def add_to_headerlist(headerslist, key, value): ret = headerslist existidx = -1 for i in ret: if i[0] == key: existidx = ret.index(i) break if existidx < 0: ret.append((key, value)) else: ret[existidx] = (key, value) return ret def application_markdown(environ, start_response): global gConfig, gRequest, gSessionStore headers = {} headerslist = [] path_info = environ['PATH_INFO'] if path_info == '/get': statuscode, headers, body = handle_get_method(environ) elif path_info == '/post': statuscode, headers, body = handle_post_method(environ) else: if path_info[-1:] == '/': path_info += gConfig['web']['indexpage'] statuscode, headers, body = handle_static(environ, path_info) headers = CORS_header(headers) for k in headers: headerslist.append((k, headers[k])) start_response(statuscode, headerslist) return [body] def handle_proxy_cgi(environ): global gConfig, gHttpClient method = environ['REQUEST_METHOD'] post_data = '' if method == "POST": qs = environ['PATH_INFO'] buf = environ['wsgi.input'].read() post_data = urllib.unquote_plus(buf) d = cgi.parse(None, environ) if d.has_key("url"): url = d["url"][0] else: url = 'http://XIEJUN-DESKTOP:88' else: fs = cgi.FieldStorage() url = fs.getvalue('url', "http://XIEJUN-DESKTOP:88") s = '' headers = {'Content-Type': 'text/plain;charset=' + ENCODING} try: if url.startswith("http://") or url.startswith("https://"): request = None response = None http = None urlobj = URL(url) if not gHttpClient.has_key('proxy_cgi'): gHttpClient['proxy_cgi'] = HTTPClient(urlobj.host, port=urlobj.port, concurrency=100) client = gHttpClient['proxy_cgi'] if method == "POST": #length = int(environ["CONTENT_LENGTH"]) headers["Content-Type"] = environ["CONTENT_TYPE"] response = client.post(urlobj.request_uri, post_data, headers) else: response = client.get(urlobj.request_uri) if response: h = str(response.info()) #if i.has_key("Content-Type"): #print("Content-Type: %s" % (i["Content-Type"])) hh = eval(h) responseh = [] for i in hh: if i[0] in ['Content-Type', 'Date', 'Server', ]: responseh.append(i) s = response.read() client.close() headers['Content-Length'] = str(len(s)) else: s += "Illegal request." except Exception, E: s += "Status: 500 Unexpected Error" s += "Content-Type: text/plain" s += "Some unexpected error occurred. Error text was:%s" % E.message return '200 OK', headers, s def get_host_ip(): ret = [] if sys.platform == 'win32': ret.append('127.0.0.1') localIP = socket.gethostbyname(socket.gethostname()) #print ("local ip:%s " % localIP) ipList = socket.gethostbyname_ex(socket.gethostname()) for i in ipList: if i != localIP: #if isinstance(i, str): #print(re.findall('\d+\.\d+\.\d+\.\d+',i)) if isinstance(i, list): for ii in i: if len(re.findall('\d+\.\d+\.\d+\.\d+',ii))>0: ret.append(ii) #print("external IP:%s" % i ) elif 'linux' in sys.platform: import commands ips = commands.getoutput("/sbin/ifconfig | grep -i \"inet\" | grep -iv \"inet6\" | awk {'print $2'} | sed -ne 's/addr\:/ /p'") arr = ips.split('\n') for i in arr: ret.append(i.strip()) return ret def clear_tmp(): tmp_dir = r'C:\Users\Jeffrey\AppData\Local\ESRI\Local Caches\MapCacheV1' if os.path.exists(tmp_dir): shutil.rmtree(tmp_dir) tmp_dir = r'C:\Users\Jeffrey\AppData\Local\ESRI\Local Caches\GlobeCache' if os.path.exists(tmp_dir): shutil.rmtree(tmp_dir) def get_scaleDenominator(zoomlist): #tileMatrixMaxX = tileMatrixMinX + tileWidth * (scaleDenominator * pixelSize / metersPerUnit) * matrixWidth #tileMatrixMinY = tileMatrixMaxY - tileHeight * (scaleDenominator * pixelSize / metersPerUnit) * matrixHeight #tileWidth * (scaleDenominator * pixelSize / metersPerUnit) * matrixWidth = tileMatrixMaxX - tileMatrixMinX #tileHeight * (scaleDenominator * pixelSize / metersPerUnit) * matrixHeight = tileMatrixMaxY - tileMatrixMinY #scaleDenominator * pixelSize / metersPerUnit = (tileMatrixMaxX - tileMatrixMinX)/(tileWidth * matrixWidth) #scaleDenominator * pixelSize / metersPerUnit = (tileMatrixMaxY - tileMatrixMinY)/(tileHeight * matrixHeight) #scaleDenominator * pixelSize = metersPerUnit * (tileMatrixMaxX - tileMatrixMinX)/(tileWidth * matrixWidth) #scaleDenominator * pixelSize = metersPerUnit * (tileMatrixMaxY - tileMatrixMinY)/(tileHeight * matrixHeight) #scaleDenominator = metersPerUnit/pixelSize * (tileMatrixMaxX - tileMatrixMinX)/(tileWidth * matrixWidth) #scaleDenominator = metersPerUnit/pixelSize * (tileMatrixMaxY - tileMatrixMinY)/(tileHeight * matrixHeight) metersPerUnit = float(gConfig['wmts']['metersPerUnit']) pixelSize = float(gConfig['wmts']['pixelSize']) tileWidth,tileHeight = 256.0, 256.0 tileMatrixMinX, tileMatrixMaxX = (26.0, 102.0), (26.0, 104.0) tileMatrixMinY, tileMatrixMaxY = (24.0, 102.0), (26.0, 102.0) for i in zoomlist: #print('%d=%d' % (i , mapUtils.tiles_on_level(i))) #mapUtils.countDistanceFromLatLon() matrixHeight = matrixWidth = mapUtils.tiles_on_level(i) print('%d=%d' % (i , matrixHeight)) #scaleDenominatorX = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxX , tileMatrixMinX) * 1000./(tileWidth * matrixWidth) #scaleDenominatorY = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxY , tileMatrixMinY) * 1000./(tileHeight * matrixHeight) #print('scaleDenominatorX=%f, scaleDenominatorY=%f' % (scaleDenominatorX, scaleDenominatorY)) #scaleDenominator = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxY , tileMatrixMinY) * 1000. /(tileHeight * matrixHeight) scaleDenominator = metersPerUnit/pixelSize * mapUtils.countDistanceFromLatLon(tileMatrixMaxY , tileMatrixMinY) /(tileHeight * matrixHeight) print('scaleDenominator=%f' % scaleDenominator) def ToGeographic(mercatorX_lon, mercatorY_lat): if abs(mercatorX_lon) < 180 and abs(mercatorY_lat) < 90: return 0, 0 if abs(mercatorX_lon) > 20037508.3427892 or abs(mercatorY_lat) > 20037508.3427892 : return 0, 0 x = mercatorX_lon; y = mercatorY_lat; num3 = x / 6378137.0; num4 = num3 * 57.295779513082323; num5 = math.floor(float(num4 + 180.0) / 360.0) num6 = num4 - (num5 * 360.0) num7 = 1.5707963267948966 - (2.0 * math.atan(math.exp((-1.0 * y) / 6378137.0))) lon = num6 lat = num7 * 57.295779513082323 return lon, lat def ToWebMercator(lon, lat): if abs(lon) > 180 or abs(lat) > 90: return 0, 0 num = lon * 0.017453292519943295 x = 6378137.0 * num a = lat * 0.017453292519943295 mercatorX_lon = x mercatorY_lat = 3189068.5 * math.log((1.0 + math.sin(a)) / (1.0 - math.sin(a))) return mercatorX_lon, mercatorY_lat def handle_requset_sync(obj): ret = {'result':''} if obj.has_key('area') and obj['area'] and len(obj['area'])>0: kmgd, kmgdgeo, kmgdgeotmp = db_util.create_sde_conn(obj['area']) if obj.has_key('odbc'): if obj['odbc'] == 'TABLE_LINE': l = db_util.odbc_get_records('TABLE_LINE', '1=1', obj['area']) ret['result']= l elif obj['odbc'] == 'TABLE_TOWER': l = db_util.odbc_get_records('TABLE_TOWER', '1=1', obj['area']) ret['result']= l elif obj.has_key('op'): if obj['op']=='download_task': condition = '1=1' if obj.has_key('team_id'): condition += " AND team_id='%s'" % obj['team_id'] l = db_util.odbc_get_records('VIEW_TASK_ITEM', condition, obj['area']) ret['result']= l #elif obj['op']=='get_latest_stamp': #f = '%Y-%m-%d %H:%M:%S' #if obj.has_key('format'): #f = obj['format'] #ret['result']= db_util.get_latest_stamp(f, obj['area']) #elif obj['op']=='get_latest_3dd_stamp': #f = '%Y-%m-%d %H:%M:%S' #if obj.has_key('format'): #f = obj['format'] #ret['result']= db_util.get_latest_3dd_stamp(f, obj['area']) else: print('unknown area') ret['result'] = [] return ret def soap_login(): client = SoapClient(wsdl='%s?wsdl' % gConfig['webservice']['location'], namespace = gConfig['webservice']['namespace'], timeout=int(gConfig['webservice']['timeout'])) response = client.login(username='', password='') result = response['Result'] return result def parse_thunder_counter_xml(xml): ret = [] root = etree.fromstring(xml) if root: for Flash in root: obj = {} for child in Flash: obj[child.tag] = child.text ret.append(obj) return ret def soap_GetFlashofDate(start_time, end_time): ret = {} try: client = SoapClient(wsdl='%s?wsdl' % gConfig['webservice']['location'], namespace = gConfig['webservice']['namespace'], timeout=int(gConfig['webservice']['timeout'])) response = client.GetFlashofDate(in0=start_time, in1=end_time) result = response['Result'] ret = parse_thunder_counter_xml(result) except: if hasattr(sys.exc_info()[1], 'message'): ret['err'] = sys.exc_info()[1].message if hasattr(sys.exc_info()[1], 'reason'): ret['err'] = str(sys.exc_info()[1].reason) return ret def soap_GetFlashofEnvelope(start_time, end_time, lng1, lng2, lat1, lat2): ret = {} try: client = SoapClient(wsdl='%s?wsdl' % gConfig['webservice']['location'], namespace = gConfig['webservice']['namespace'], timeout=int(gConfig['webservice']['timeout'])) response = client.GetFlashofEnvelope(in0=start_time, in1=end_time, in2=lng1, in3=lng2, in4=lat1, in5=lat2) result = response['Result'] ret = parse_thunder_counter_xml(result) except: if hasattr(sys.exc_info()[1], 'message'): ret['err'] = sys.exc_info()[1].message if hasattr(sys.exc_info()[1], 'reason'): ret['err'] = str(sys.exc_info()[1].reason) return ret def delete_expired_session(interval): global gSessionStore while 1: gevent.sleep(interval) if gSessionStore: #print('session recycle checking') gSessionStore.delete_expired_list() ws_send('session_list', ws_session_query()) def joinedqueue_consumer_pay(): global gConfig, gJoinableQueue interval = float(gConfig['pay_platform']['queue']['queue_consume_interval']) while 1: gevent.sleep(interval) item = None try: item = gJoinableQueue.get() except: item = None if item: try: sign_and_send(item['thirdpay'], item['method'], item['url'], item['data']) finally: gJoinableQueue.task_done() def chat_offline_save_log(obj): global gConfig, gClientMongo def get_collection(collection): ret = None db_util.mongo_init_client('chat_platform') db = db_util.gClientMongo['chat_platform'][gConfig['chat_platform']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret id = None if obj['op'] not in ['chat/online', 'chat/offline', 'chat/info/online', 'chat/info/offline', 'chat/request/contact/remove', 'chat/request/group/quit'] and obj.has_key('to'): offlinecol = 'chat_log_offline' if gConfig['chat_platform']['mongodb'].has_key('collection_chat_log_offline'): offlinecol = gConfig['chat_platform']['mongodb']['collection_chat_log_offline'] collection = get_collection(offlinecol) id = collection.save(db_util.add_mongo_id(obj)) return id def chat_save_log(obj): global gConfig, gClientMongo def get_collection(collection): ret = None db_util.mongo_init_client('chat_platform') db = db_util.gClientMongo['chat_platform'][gConfig['chat_platform']['mongodb']['database']] if not collection in db.collection_names(False): ret = db.create_collection(collection) else: ret = db[collection] return ret id = None if obj.has_key('op') and obj['op'] in ['chat/chat', 'chat/online', 'chat/offline']: collection = get_collection(gConfig['chat_platform']['mongodb']['collection_chat_log']) # if obj.has_key('timestamp'): # obj['timestamp'] = datetime.datetime.fromtimestamp(obj['timestamp']/1000).strftime('%Y-%m-%d %H:%M:%S') if obj['op'] in ['chat/online', 'chat/offline']: obj1 = copy.deepcopy(obj) for k in obj1.keys(): if not k in ['from', 'timestamp', 'op', 'to']: del obj1[k] if obj1.has_key('_id'): del obj1['_id'] id = collection.save(db_util.add_mongo_id(obj1)) else: id = collection.save(db_util.add_mongo_id(obj)) return id def joinedqueue_consumer_chat(): global gConfig, gJoinableQueue, gWebSocketsMap interval = float(gConfig['chat_platform']['queue']['queue_consume_interval']) while 1: gevent.sleep(interval) item = None try: item = gJoinableQueue.get() except: item = None if item: try: g = gevent.spawn(chat_save_log, item) k = item['to'] if gWebSocketsMap.has_key(k): for ws in gWebSocketsMap[k]: if not ws.closed: ws.send(json.dumps(item, ensure_ascii=True, indent=4)) else: gevent.spawn(chat_offline_save_log, item) finally: gJoinableQueue.task_done() def tcp_reconnect_check(interval=1): global gConfig, gTcpReconnectCounter, gTcpSock tcp_reconnect_threshold = int(gConfig['webgis']['anti_bird']['tcp_reconnect_threshold']) gTcpReconnectCounter = tcp_reconnect_threshold while 1: gTcpReconnectCounter += interval #print(gTcpReconnectCounter) if gTcpReconnectCounter > tcp_reconnect_threshold: gTcpReconnectCounter = 0 print('[%s]Trying to reconnect to anti-bird tcpserver [%s:%s]...' % (time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()), gConfig['webgis']['anti_bird']['tcp_host'], gConfig['webgis']['anti_bird']['tcp_port'])) if gTcpSock: if not gTcpSock.closed: gTcpSock.close() del gTcpSock gTcpSock = None gevent.sleep(interval) def tcp_print_exception(): e = sys.exc_info()[1] message = '' if hasattr(e, 'strerror'): message = e.strerror if message is None and hasattr(e, 'message'): message = e.message elif hasattr(e, 'message'): message = e.message else: message = str(e) print('connecting anti-bird server fail:%s' % message) def tcp_connect(): global gConfig tcp_host = gConfig['webgis']['anti_bird']['tcp_host'] tcp_port = int(gConfig['webgis']['anti_bird']['tcp_port']) timeout = 5.0 try: timeout = float(gConfig['webgis']['anti_bird']['tcp_timeout']) except: timeout = 5.0 sock = socket.create_connection((tcp_host, tcp_port), timeout=timeout) sock.settimeout(None) #sock = socket.create_connection((tcp_host, tcp_port)) sock.send("bird") return sock def tcp_recv(sock=None): global gConfig, gWebSocketsMap, gTcpReconnectCounter, gTcpSock def get_packet(astr): ret = '' rest = astr if '###' in astr: idx0 = astr.index('###') + 3 astr = astr[idx0:] if '###' in astr: idx1 = astr.index('###') ret = astr[:idx1] rest = astr[idx1+3:] return ret, rest def get_packets(astr): ret = [] p, rest = get_packet(astr) while len(p)>0: ret.append(p) p, rest = get_packet(rest) return ret, rest def send_to_client(packets): for imei in packets: try: obj = {'imei':imei} for k in gWebSocketsMap.keys(): ws = gWebSocketsMap[k] if not ws.closed: ws.send(json.dumps(obj, ensure_ascii=True, indent=4)) except: e = sys.exc_info()[1] if hasattr(e, 'message'): print('send_to_client error:%s' % e.message) else: print('send_to_client error:%s' % str(e)) def save_to_cache(astr): pass MAX_MSGLEN = int(gConfig['webgis']['anti_bird']['max_msg_len']) tcp_reconnect_threshold = int(gConfig['webgis']['anti_bird']['tcp_reconnect_threshold']) recvstr = '' while 1: try: if gTcpSock is None: gTcpSock = tcp_connect() if gTcpSock and not gTcpSock.closed: buf = bytearray(b"\n" * MAX_MSGLEN) gTcpSock.recv_into(buf) recvstr += buf.strip().decode("utf-8") if len(recvstr)>0: gTcpReconnectCounter = 0; print('[%s]%s' % (time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()), recvstr)) packets, recvstr = get_packets(recvstr) if gConfig['webgis'].has_key('anti_bird') and gConfig['webgis']['anti_bird'].has_key('update_to_cache') and gConfig['webgis']['anti_bird']['update_to_cache'].lower() == 'true': save_to_cache(packets) send_to_client(packets) except: recvstr = '' tcp_print_exception() if gTcpSock: if not gTcpSock.closed: gTcpSock.close() del gTcpSock gTcpSock = None gevent.sleep(0.01) def cycles_task(): global gConfig, gJoinableQueue if gConfig['wsgi']['application'].lower() == 'authorize_platform': gevent.spawn(delete_expired_session, int(gConfig['authorize_platform']['session']['session_cycle_check_interval'])) elif gConfig['wsgi']['application'].lower() == 'pay_platform' and gJoinableQueue: gevent.spawn(joinedqueue_consumer_pay) elif gConfig['wsgi']['application'].lower() == 'chat_platform' and gJoinableQueue: gevent.spawn(joinedqueue_consumer_chat) elif gConfig['wsgi']['application'].lower() == 'webgis': if gConfig['webgis']['anti_bird'].has_key('enable_fetch') and gConfig['webgis']['anti_bird']['enable_fetch'].lower() == 'true': interval = 1 if gConfig['webgis']['anti_bird'].has_key('cycle_interval'): interval = int(gConfig['webgis']['anti_bird']['cycle_interval']) gevent.spawn(tcp_recv, None) gevent.spawn(tcp_reconnect_check, interval) def mainloop_single( port=None, enable_cluster=False, enable_ssl=False): global gConfig gen_model_app_cache() server = None app = None key = 'application_' + gConfig['wsgi']['application'] if globals().has_key(key): print('application ready to start:%s' % gConfig['wsgi']['application']) app = globals()[key] else: print('unknown application:%s' % gConfig['wsgi']['application']) return cycles_task() if port and not enable_cluster: if enable_ssl: print('listening at host 127.0.0.1, port %d with ssl crypted' % port) server = pywsgi.WSGIServer(('127.0.0.1', port), app, handler_class = WebSocketHandler, keyfile = gConfig['listen_port']['keyfile'], certfile = gConfig['listen_port']['certfile']) else: print('listening at host 127.0.0.1, port %d' % port) server = pywsgi.WSGIServer(('127.0.0.1', port), app, handler_class = WebSocketHandler) server.start() server.serve_forever() else: if enable_ssl: pport = port if not pport: pport = gConfig['listen_port']['ssl_port'] else: pport = port if not pport: pport = gConfig['listen_port']['port'] host_list = get_host_ip() admin = '' if enable_cluster: admin = 'cluster manager ' print('%slistening at host %s, port %s' % (admin, str(host_list), str(pport))) servers = [] #if gConfig['webservice']['enable'] in [u'true', u'TRUE']: #h, p = gConfig['webservice']['host'], int(gConfig['webservice']['port']) #print('listening webservice at http://%s:%d/webservice' % (h, p)) #server = pywsgi.WSGIServer((h, p), get_wsapplication()) #servers.append(server) #server.start() if len(host_list)>0: idx = 0 if isinstance(pport, int): for i in host_list: if enable_ssl: server = pywsgi.WSGIServer((i, pport), app, handler_class = WebSocketHandler, keyfile = gConfig['listen_port']['keyfile'], certfile = gConfig['listen_port']['certfile']) else: server = pywsgi.WSGIServer((i, pport), app, handler_class = WebSocketHandler) servers.append(server) if idx < len(host_list)-1: server.start() idx += 1 servers[-1].serve_forever() elif isinstance(pport, unicode): for i in host_list: if enable_ssl: server = pywsgi.WSGIServer((i, int(pport)), app, handler_class = WebSocketHandler, keyfile = gConfig['listen_port']['keyfile'], certfile = gConfig['listen_port']['certfile']) else: server = pywsgi.WSGIServer((i, int(pport)), app, handler_class = WebSocketHandler) servers.append(server) if idx < len(host_list)-1: server.start() idx += 1 servers[-1].serve_forever() elif isinstance(pport, list): for i in host_list: for j in pport: if enable_ssl: server = pywsgi.WSGIServer((i, int(j)), app, handler_class = WebSocketHandler, keyfile = gConfig['listen_port']['keyfile'], certfile = gConfig['listen_port']['certfile']) else: server = pywsgi.WSGIServer((i, int(j)), app, handler_class = WebSocketHandler) servers.append(server) if idx < len(host_list) * len(pport)-1: server.start() idx += 1 servers[-1].serve_forever() else: print('wrong host or port in %s' % db_util.CONFIGFILE) return server def mainloop_nginx(popen): while True: stdoutdata, stderrdata = popen.communicate() #if stdoutdata: #queue.put(stdoutdata) gevent.sleep(0.01) def mainloop_manager(queue): while True: qget = q.get() if qget: print(qget) gevent.sleep(0.01) def create_cluster(): #global gConfig, gClusterProcess conf = '' with open(gConfig['cluster']['nginx_conf_template']) as f: conf = f.read() rg = gConfig['cluster']['port_range'] node_list = '\n' for port in range(int(rg[0]), int(rg[1]), int(rg[2])): node_list += ' server 127.0.0.1:%d;\n' % port listen_port = gConfig['listen_port']['port'] access_log = gConfig['cluster']['nginx_log'] host = get_host_ip() host.append('localhost') server_name = ' '.join(host) conf = conf.replace('[node_list]', str(node_list)) conf = conf.replace('[listen_port]', str(listen_port)) conf = conf.replace('[access_log]', str(access_log)) conf = conf.replace('[server_name]', str(server_name)) p = os.path.abspath(gConfig['cluster']['nginx_conf_template']) p = os.path.join(os.path.dirname(p), 'nginx.conf') #print(conf) with open(p, 'w') as f: f.write(conf) idx = 0 for port in range(int(rg[0]), int(rg[1]), int(rg[2])): print('process%d is starting...' % idx) proc = Process(target=mainloop_single, args=(port, False, False)) proc.start() #gClusterProcess[str(proc.pid)] = proc idx += 1 print('nginx is starting...') popen = subprocess.Popen([os.path.abspath(gConfig['cluster']['nginx_exe']), '-c', p ]) def get_pid_from_name(name): out = subprocess.check_output(['tasklist','/SVC']) #print(out) l = out.split('\r\n') findlist = [] for i in l: arr = i.split(' ') for j in arr: if len(j)>0 and name in j: for k in arr: if arr.index(k)==0: continue if len(k)>0: try: pid = int(k) findlist.append(pid) break except: continue break #print(findlist) if current_process().pid in findlist: findlist.remove(current_process().pid) return findlist def kill_cluster(): #global gClusterProcess print('kill nginx...') for pid in get_pid_from_name('nginx'): try: out = subprocess.check_output(['taskkill', '/F', '/PID', str(pid), '/T']) print(out) except: pass for pid in get_pid_from_name('python'): print('kill python.exe[%s]...' % pid) out = subprocess.check_output(['taskkill', '/F', '/PID', str(pid), '/T']) print(out) #for pid in gClusterProcess.keys(): #print('kill python.exe[%s]...' % pid) #gClusterProcess[pid].terminate() print('kill done') def create_self_signed_cert(cert_dir, year=10): from OpenSSL import crypto, SSL CERT_FILE = "ssl_certificate.crt" KEY_FILE = "ssl_self_signed.key" if not os.path.exists(os.path.join(cert_dir, CERT_FILE)) or not os.path.exists(os.path.join(cert_dir, KEY_FILE)): k = crypto.PKey() k.generate_key(crypto.TYPE_RSA, 4096) cert = crypto.X509() cert.get_subject().C = "AQ" cert.get_subject().ST = "State" cert.get_subject().L = "City" cert.get_subject().O = "Company" cert.get_subject().OU = "Organization" cert.get_subject().CN = socket.gethostname() cert.set_serial_number(1000) cert.gmtime_adj_notBefore(0) cert.gmtime_adj_notAfter(year*365*24*60*60) cert.set_issuer(cert.get_subject()) cert.set_pubkey(k) cert.sign(k, 'sha1') with open(os.path.join(cert_dir, CERT_FILE), "wt") as f: f.write(crypto.dump_certificate(crypto.FILETYPE_PEM, cert)) with open(os.path.join(cert_dir, KEY_FILE), "wt") as f: f.write(crypto.dump_privatekey(crypto.FILETYPE_PEM, k)) #create_self_signed_cert('.') print('Create SSL key and cert done') else: print('SSL key and cert already exist') def gen_model_app_cache(): global gConfig if not gConfig.has_key('web_cache'): return s = 'CACHE MANIFEST\n' s += '#' + gConfig['web_cache']['version'] + '\n' if gConfig['web_cache']['gltf_cache_enable'].lower() == u'true': modelsdir = os.path.join(STATICRESOURCE_DIR, 'gltf') if not os.path.exists(modelsdir): return l = os.listdir(modelsdir) for i in l: s += '/gltf/' + i + '\n' file_or_dir_cache = gConfig['web_cache']['file_or_dir_cache'] if len(file_or_dir_cache) > 0 : for root, dirs, files in os.walk(STATICRESOURCE_DIR, topdown=False): for name in dirs: if name in file_or_dir_cache: p = os.path.join(root, name) for root1, dirs1, files1 in os.walk(p, topdown=False): for name1 in files1: p1 = os.path.join(root1, name1) p1 = p1.replace(STATICRESOURCE_DIR, '').replace('\\', '/') s += p1 + '\n' for name in files: if name in file_or_dir_cache: p = os.path.join(root, name) p = p.replace(STATICRESOURCE_DIR, '').replace('\\', '/') s += p + '\n' s += 'NETWORK:\n' s += '*\n' with open(os.path.join(STATICRESOURCE_DIR, 'kmgd.appcache'), 'w') as f: f.write(s) if __name__=="__main1__": freeze_support() options = db_util.init_global() #print(options) init_global() s = get_sign_alipay(u'dsadsadsadsadsadsa') print(s) print(len(s)) #print(gSecurityConfig) #key = 'application_' + gConfig['wsgi']['application'] #if globals().has_key(key): #app = globals()[key] #else: #print('unknown application:%s' % gConfig['wsgi']['application']) if __name__=="__main__": freeze_support() options = db_util.init_global() init_global() if options.signcert_enable: create_self_signed_cert( options.signcert_directory, options.signcert_year) elif options.batch_download_tile_enable: db_util.command_batch_tile_download(options) else: if options.cluster_enable: mainloop_single(int(gConfig['cluster']['manager_port']), True, False) else: if gConfig['listen_port']['enable_ssl'].lower() == u'true': port = 443 try: port = int(gConfig['listen_port']['ssl_port']) except: pass mainloop_single(port, False, True) else: mainloop_single() class Win32ServiceHandler(object): # no parameters are permitted; all configuration should be placed in the # configuration file and handled in the Initialize() method def __init__(self): pass # called when the service is starting def Initialize(self, configFileName): self.server = None self.stopEvent = threading.Event() self.stopRequestedEvent = threading.Event() # called when the service is starting immediately after Initialize() # use this to perform the work of the service; don't forget to set or check # for the stop event or the service GUI will not respond to requests to # stop the service def Run(self): #self.stopRequestedEvent.wait() self.stopEvent.set() init_global() self.server = mainloop_single() # called when the service is being stopped by the service manager GUI def Stop(self): self.stopRequestedEvent.set() self.stopEvent.wait() if self.server: self.server.stop()
"""Main urls.py file for project.""" from django.conf.urls import patterns, include, url from django.contrib import admin import accounts.urls import core.urls import logs.urls import djangonumerics.urls admin.autodiscover() urlpatterns = patterns( '', url(r'', include(core.urls)), url(r'^logs/', include(logs.urls)), url(r'^admin/', include(admin.site.urls)), url(r'^accounts/', include(accounts.urls)), url(r'^numerics/', include(djangonumerics.urls)), )
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \ import get_exponential_decay_and_init from spynnaker.pyNN.models.neural_properties.neural_parameter \ import NeuronParameter from spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type \ import AbstractSynapseType from spynnaker.pyNN.utilities import utility_calls from data_specification.enums.data_type import DataType class SynapseTypeDualExponential(AbstractSynapseType): def __init__(self, n_neurons, machine_time_step, tau_syn_E, tau_syn_E2, tau_syn_I): AbstractSynapseType.__init__(self) self._n_neurons = n_neurons self._machine_time_step = machine_time_step self._tau_syn_E = utility_calls.convert_param_to_numpy( tau_syn_E, n_neurons) self._tau_syn_E2 = utility_calls.convert_param_to_numpy( tau_syn_E2, n_neurons) self._tau_syn_I = utility_calls.convert_param_to_numpy( tau_syn_I, n_neurons) @property def tau_syn_E(self): return self._tau_syn_E @tau_syn_E.setter def tau_syn_E(self, tau_syn_E): self._tau_syn_E = utility_calls.convert_param_to_numpy( tau_syn_E, self._n_neurons) @property def tau_syn_E2(self): return self._tau_syn_E2 @tau_syn_E2.setter def tau_syn_E2(self, tau_syn_E2): self._tau_syn_E2 = utility_calls.convert_param_to_numpy( tau_syn_E2, self._n_neurons) @property def tau_syn_I(self): return self._tau_syn_I @tau_syn_I.setter def tau_syn_I(self, tau_syn_I): self._tau_syn_E = utility_calls.convert_param_to_numpy( tau_syn_I, self._n_neurons) def get_n_synapse_types(self): return 3 def get_synapse_id_by_target(self, target): if target == "excitatory": return 0 elif target == "excitatory2": return 1 elif target == "inhibitory": return 2 return None def get_synapse_targets(self): return "excitatory", "excitatory2", "inhibitory" def get_n_synapse_type_parameters(self): return 6 def get_synapse_type_parameters(self): e_decay, e_init = get_exponential_decay_and_init( self._tau_syn_E, self._machine_time_step) e_decay2, e_init2 = get_exponential_decay_and_init( self._tau_syn_E2, self._machine_time_step) i_decay, i_init = get_exponential_decay_and_init( self._tau_syn_I, self._machine_time_step) return [ NeuronParameter(e_decay, DataType.UINT32), NeuronParameter(e_init, DataType.UINT32), NeuronParameter(e_decay2, DataType.UINT32), NeuronParameter(e_init2, DataType.UINT32), NeuronParameter(i_decay, DataType.UINT32), NeuronParameter(i_init, DataType.UINT32) ] def get_n_cpu_cycles_per_neuron(self): # A guess return 100
import elasticsearch, elasticsearch.helpers import iconclass from django.conf import settings import redis import time import json def go(): es = elasticsearch.Elasticsearch() esi = elasticsearch.client.IndicesClient(es) esi.delete(index=settings.ES_INDEX_NAME + '_en') init_index('en') def init_index(language): ES_MAPPINGS = { "en" : { "notation" : { "_source": {"enabled": False }, "properties" : { "notation": {"type": "string", "store": True, "index": "not_analyzed" }, "txt": {"type": "string", "store": False, "analyzer": "english"}, "iskey": {"type": "boolean", "store": False, "index": "not_analyzed" } } } } } if language not in ES_MAPPINGS: raise Exception('Language %s not found in ES_MAPPINGS %s' % (language, ES_MAPPINGS.keys())) esi = elasticsearch.client.IndicesClient(elasticsearch.Elasticsearch()) esi.create(index=settings.ES_INDEX_NAME + '_' + language, body={"mappings":ES_MAPPINGS.get(language)}) def ixable(obj, language): path_texts = [p.get('txt', {}).get(language, u'') for p in iconclass.get_list(obj.get('p', [])) if p] o = {} o['_index'] = settings.ES_INDEX_NAME + '_' + language o['_type'] = 'notation' o['_id'] = hash(obj['n']) o['_source'] = { 'txt': '\n'.join(path_texts), 'notation': obj['n'] } if obj['n'].find('(+') > 0: o['_source']['iskey'] = True return o def ixable_iterator(notation, language, skip_keys=False): obj = iconclass.get(notation) if not obj: return yield ixable(obj, language) for k in obj.get('c', []): if skip_keys and k.find('(+') > 0: continue for kk in ixable_iterator(k, language): yield kk def fill_redis_q(notation, language): redis_c = redis.StrictRedis() count = 0 for x in ixable_iterator(notation, language): q_size = redis_c.lpush(settings.REDIS_PREFIX + '_ic_index_q', json.dumps(x)) count += 1 return q_size, count def index_iterator(): redis_c = redis.StrictRedis() while True: tmp = redis_c.lpop(settings.REDIS_PREFIX + '_ic_index_q') if not tmp: break yield json.loads(tmp) def index(): success_count, errors = elasticsearch.helpers.bulk(elasticsearch.Elasticsearch(), index_iterator(), chunk_size=9999) return success_count, errors def redis_q_velocity(): '''Check the Redis index q to see how the size changes over time. This velocity will indicate growth/shrinking ''' redis_c = redis.StrictRedis() last_size = 0 size_diffs = [] for i in range(10): size = redis_c.llen(settings.REDIS_PREFIX + '_ic_index_q') size_diffs.append(last_size-size) last_size = size time.sleep(0.2) size_diffs = size_diffs[1:] # discard the first one as we didn't start with the current size return sum(size_diffs)/float(len(size_diffs)), last_size, size_diffs # TODO: AT this point all functionality related to redis_q is ripe to be refactored into a class.
from floodsystem.stationdata import build_station_list, update_water_levels from floodsystem.station import MonitoringStation from floodsystem.utils import sorted_by_key stations = build_station_list() update_water_levels(stations) names = [ 'Bourton Dickler', 'Surfleet Sluice', 'Gaw Bridge', 'Hemingford', 'Swindon' ] def take_second(elem): return elem[1] Rank = [] for station in stations: if station.relative_water_level() != None: Rank.append((station.name, station.relative_water_level())) #print("Station name and relative water level: {}, {}".format( #station.name, station.relative_water_level())) Rank.sort(key = take_second, reverse=True) Ranking_N = [] count = 0 N = 10 for station in Rank: if count < N: Ranking_N.append(Rank[count]) count += 1 else: break print(Ranking_N)
''' This code is part of QuTIpy. (c) Copyright Sumeet Khatri, 2021 This code is licensed under the Apache License, Version 2.0. You may obtain a copy of this license in the LICENSE.txt file in the root directory of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. Any modifications or derivative works of this code must retain this copyright notice, and modified files need to carry a notice indicating that they have been altered from the originals. ''' import numpy as np from qutipy.Clifford import Clifford_group_generators from qutipy.general_functions import dag,unitary_distance,eye def generate_Clifford_group(n,display=False): ''' Generates the n-qubit Clifford group. The display variable is for testing purposes, and to see the progress through the code. Note that even for n=2, this code will take a long time to run! There are 11520 elements of the two-qubit Clifford group! ''' G=Clifford_group_generators(n) def in_list(L,elem): # Last modified: 27 June 2019 ''' Checks if the given unitary elem is in the list L. ''' x=0 for l in L: if np.around(unitary_distance(l,elem),10)==0: # Check of the distance is zero (up to 10 decimal places) x=1 break return x C=[eye(2**n)] generated=False while not generated: tmp=[] num_added=0 for c in C: for g in G: t1=c@g t2=c@dag(g) # t1 and t2 might be the same, in which case we add only one of the two to the list (if needed). # Also, t1 and t2 might already by in tmp (up to global phase), so we need to check for that as well. if np.around(unitary_distance(t1,t2),10)==0: if not in_list(C,t1) and not in_list(tmp,t1): tmp.append(t1) num_added+=1 else: # if t1 and t2 are different, add both to the list (if needed). if not in_list(C,t1) and not in_list(tmp,t1): tmp.append(t1) num_added+=1 if not in_list(C,t2) and not in_list(tmp,t2): tmp.append(t2) num_added+=1 if num_added>0: for t in tmp: C.append(t) else: generated=True if display: print(len(C)) return C
from os import path import re from setuptools import setup def get_version(): text = open(path.join(path.dirname(__file__), "sphinx_affiliates", "__init__.py")).read() match = re.compile(r"^__version__\s*\=\s*[\"\']([^\s\'\"]+)", re.M).search(text) return match.group(1) with open("README.md") as readme: long_description = readme.read() setup( name="sphinx-affiliates", version=get_version(), description="Tools for integrating affiliated Sphinx sites", long_description=open("README.md").read(), long_description_content_type="text/markdown", author="mattip", author_email="mattigit@picus.org.il", packages=["sphinx_affiliates"], include_package_data=True, url="https://github.com/mattip/sphinx-affiliates", license="MIT", python_requires=">=3.6,2.7", install_requires=["sphinx>=2,<4"], extras_require={ "testing": [ "coverage", "pytest", "pytest-cov", "sphinx_testing", ], "code_style": ["pre-commit==2.6"], }, classifiers=[ "Development Status :: 4 - Beta", "Environment :: Plugins", "Environment :: Web Environment", "Framework :: Sphinx :: Extension", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python", "Topic :: Documentation :: Sphinx", ], )
import json import math import os from math import * # noqa import bmesh import bpy import mathutils from bpy.props import StringProperty from bpy.types import Operator from shutil import copyfile, SameFileError # ExportHelper is a helper class, defines filename and # invoke() function which calls the file selector. from bpy_extras.io_utils import ExportHelper from mathutils import Matrix, Vector bl_info = { "name": "Raylar Export", "author": "sinan islekdemir", "version": (0, 0, 0, 2), "blender": (2, 80, 0), } global_matrix = mathutils.Matrix.Rotation(-math.pi / 2.0, 4, "X") MAT_CONVERT_CAMERA = Matrix.Rotation(math.pi / 2.0, 4, "Y") global_assets = [] def write_raylar_data(filepath): global global_assets print("running raylar export...") scene = construct_scene() context = json.dumps(scene) f = open(filepath, "w", encoding="utf-8") f.write(context) f.close() target_path = os.path.dirname(filepath) for f in global_assets: base_name = os.path.basename(f) try: copyfile(f, os.path.join(target_path, base_name)) except SameFileError: pass global_assets = [] return {"FINISHED"} def export_object(obj): if obj.type != "MESH": return material_cache = {} for i, matslot in enumerate(obj.material_slots): material = matslot.material material_cache[material.name] = {"_index": i} mkeys = material.node_tree.nodes.keys() if "Principled BSDF" in mkeys: inp = material.node_tree.nodes["Principled BSDF"].inputs if "Base Color" in inp: material_cache[material.name]["color"] = [ inp["Base Color"].default_value[0], inp["Base Color"].default_value[1], inp["Base Color"].default_value[2], inp["Base Color"].default_value[3], ] material_cache[material.name]["light"] = False else: material_cache[material.name]["color"] = [1, 1, 1, 1] if "Alpha" in inp: alpha = inp[ "Transmission" ].default_value if alpha > 1.0: alpha = alpha / 2.0 material_cache[material.name]["transmission"] = alpha if "IOR" in inp: material_cache[material.name]["index_of_refraction"] = inp[ "IOR" ].default_value if "Metallic" in inp: material_cache[material.name]["glossiness"] = inp[ "Metallic" ].default_value if "Roughness" in inp: material_cache[material.name]["roughness"] = inp[ "Roughness" ].default_value if "Emission" in mkeys: inp = material.node_tree.nodes["Emission"].inputs if "Color" in inp: material_cache[material.name]["color"] = [ inp["Color"].default_value[0], inp["Color"].default_value[1], inp["Color"].default_value[2], inp["Color"].default_value[3], ] material_cache[material.name]["light"] = True material_cache[material.name]["light_strength"] = inp[ "Strength" ].default_value if "Image Texture" in mkeys: image = material.node_tree.nodes["Image Texture"].image inp = image.filepath_from_user() global_assets.append(inp) base_name = os.path.basename(inp) material_cache[material.name]["texture"] = base_name odata = obj.data original_data = odata.copy() # Backup data bm = bmesh.new() bm.from_mesh(odata) bmesh.ops.triangulate( bm, faces=bm.faces[:], quad_method="BEAUTY", ngon_method="BEAUTY" ) bm.to_mesh(odata) # Triangulate the object vertices = [] normals = [] texcoords = [] index = 0 uvLayer = bm.loops.layers.uv.active for face in bm.faces: for loop in face.loops: # Get position (swizzled) vertices.append([loop.vert.co[0], loop.vert.co[1], loop.vert.co[2]]) # Get normal (swizzled) # TODO: Should this be face, loop, or vertex normal? norm = loop.vert.normal normals.append([norm[0], norm[1], norm[2]]) # Get first UV layer if uvLayer is not None: texcoords.append([loop[uvLayer].uv[0], loop[uvLayer].uv[1]]) for mat in material_cache: if material_cache[mat]["_index"] == face.material_index: if "indices" not in material_cache[mat]: material_cache[mat]["indices"] = [] material_cache[mat]["indices"].append([index, index + 1, index + 2, int(face.smooth)]) index += 3 obj_dict = { "vertices": vertices, "normals": normals, "texcoords": texcoords, "matrix": _conv_matrix(obj.matrix_local), "materials": material_cache, "children": {}, } # Revert back the original object obj.data = original_data return obj_dict def export_light(light): directional = False direction = [0, 0, 0, 0] if bpy.data.lights[light.name].type == 'SUN': directional = True lmw = light.matrix_world direction = lmw.to_quaternion() @ Vector((0.0, 0.0, -1.0)) return { "position": list(light.location), "color": list(bpy.data.lights[light.name].color), "active": True, "light_strength": bpy.data.lights[light.name].energy / 10, "directional_light": directional, "direction": list(direction) } def _conv_matrix(matrix): return [ [matrix[0][0], matrix[1][0], matrix[2][0], matrix[3][0]], [matrix[0][1], matrix[1][1], matrix[2][1], matrix[3][1]], [matrix[0][2], matrix[1][2], matrix[2][2], matrix[3][2]], [matrix[0][3], matrix[1][3], matrix[2][3], matrix[3][3]], ] def export_camera(camera): position = camera.location cmw = camera.matrix_world up = cmw.to_quaternion() @ Vector((0.0, 1.0, 0.0)) cam_direction = cmw.to_quaternion() @ Vector((0.0, 0.0, -1.0)) x = (cam_direction[0] * 10) + position[0] y = (cam_direction[1] * 10) + position[1] z = (cam_direction[2] * 10) + position[2] target = [x, y, z, 1] fov = bpy.data.cameras[camera.name].angle * 180 / math.pi aspect = ( bpy.context.scene.render.resolution_x / bpy.context.scene.render.resolution_y ) return { "position": list(position), "target": list(target), "up": list(up), "fov": fov, "aspect_ratio": aspect, "near": 0.01, "far": 10000, "perspective": True, } def construct_scene(): scene = {"objects": {}, "lights": [], "observers": []} bpy_scene = bpy.context.scene for obj in bpy_scene.objects: obj.select_set(True) bpy.context.view_layer.objects.active = obj bpy.ops.object.transform_apply(location=True, scale=True, rotation=True) bpy.ops.object.select_all(action="DESELECT") obj.select_set(False) if obj.type == "MESH": scene["objects"][obj.name] = export_object(obj) if obj.type == "LIGHT": scene["lights"].append(export_light(obj)) if obj.type == "CAMERA": scene["observers"].append(export_camera(obj)) return scene class ExportRaylarData(Operator, ExportHelper): """This appears in the tooltip of the operator and in the generated docs""" bl_idname = "export_payton.scene_data" bl_label = "Export Scene to Payton/Raylar JSON" # ExportHelper mixin class uses this filename_ext = ".json" filter_glob: StringProperty( default="*.json", options={"HIDDEN"}, maxlen=255, # Max internal buffer length, longer would be clamped. ) def execute(self, context): return write_raylar_data(self.filepath) # Only needed if you want to add into a dynamic menu def menu_func_export(self, context): self.layout.operator(ExportRaylarData.bl_idname, text="Raylar Export (scene.json)") def register(): bpy.utils.register_class(ExportRaylarData) bpy.types.TOPBAR_MT_file_export.append(menu_func_export) def unregister(): bpy.utils.unregister_class(ExportRaylarData) bpy.types.TOPBAR_MT_file_export.remove(menu_func_export) if __name__ == "__main__": register()
# -*- coding: utf-8 -*- """ Created on Fri Sep 30 15:49:39 2016 @author: TUD205099 """ #%% load modules import triple_dot import numpy as np import qtt from qtt.scans import makeDataset_sweep, makeDataset_sweep_2D import qcodes from qcodes import load_data #from qcodes.plots.pyqtgraph import QtPlot from qcodes.plots.qcmatplotlib import MatPlot from qtt.live_plotting import livePlot, fpgaCallback_2d #%% set directory for data saving datadir = r'K:\ns\qt\spin-qubits\data\b057_data\2017 3dot Automation\data' qcodes.DataSet.default_io = qcodes.DiskIO(datadir) qcodes.DataSet.default_formatter = qcodes.data.gnuplot_format.GNUPlotFormat() #%% initialize station remote = False if __name__=='__main__': server_name = None station = triple_dot.initialize(server_name=server_name) awg = station.awg fpga = station.fpga gates = station.gates RF = station.RF keithley1 = station.keithley1 keithley2 = station.keithley2 keithley3 = station.keithley3 # siggen = station.siggen # helium = station.helium #%% initialize sensing dot import qtt.structures if __name__=='__main__' and 1: ggv = ['SDL', 'SDP', 'SDR'] sdvalv = [gates.get(ggv[0]), gates.get(ggv[1]), gates.get(ggv[2])] sd = qtt.structures.sensingdot_t(ggv, sdvalv, station, index=1, fpga_ch=1) if 0: sdval, dataset = sd.autoTune(scanrange=100) gates.set(sd.gg[1],sdval) name = '_'.join(sai.array_id for sai in dataset.keithley1_amplitude.set_arrays) dataset.location = dataset.location_provider(dataset.default_io, record={'name': name}) dataset.write() #%% defining virtual gates %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% from collections import OrderedDict #L = {'P1': 1, 'P2': .454, 'P3': .19, 'D1': 1.535, 'D2': .460, 'LS': 1.020, 'RS': .167} #L_sweep = {'P1': 1, 'P2': .454, 'P3': .19} #M = {'P1': .537, 'P2': 1, 'P3': 0.386, 'D1': 1.206, 'D2': .855, 'LS': .318, 'RS': .251} #M_sweep = {'P1': .537, 'P2': 1, 'P3': 0.386} #R = {'P1': .21, 'P2': .654, 'P3': 1, 'D1': .526, 'D2': 1.493, 'LS': .164, 'RS': 1.136} #R_sweep = {'P1': .21, 'P2': .654, 'P3': 1} ## result of capacitance measurement # new tuning at 000-111 #L = OrderedDict([('P1', 1), ('P2', .481), ('P3', .194), ('D1', 1.224), ('D2', .380), ('LS', 0.843), ('RS', .110)]) #M = OrderedDict([('P1', .560), ('P2', 1), ('P3', .414), ('D1', 1.295), ('D2', .942), ('LS', .330), ('RS', .269)]) #R = OrderedDict([('P1', .208), ('P2', .503), ('P3', 1.25), ('D1', .394), ('D2', 1.189), ('LS', .073), ('RS', 0.914)]) L = OrderedDict([('P1', 1), ('P2', .481), ('P3', .194), ('D1', 1.224), ('D2', .380), ('LS', 0.843), ('RS', .110)]) M = OrderedDict([('P1', .540), ('P2', 1), ('P3', .414), ('D1', 1.295), ('D2', .942), ('LS', .330), ('RS', .269)]) R = OrderedDict([('P1', .208), ('P2', .503), ('P3', 1.25), ('D1', .394), ('D2', 1.189), ('LS', .073), ('RS', 0.914)]) #R = OrderedDict([('P1', 0), ('P2', 0), ('P3', 1), ('D1', 0), ('D2', 0), ('LS', 0), ('RS', 0)]) t1 = OrderedDict([('P1', 0), ('P2', 0), ('P3', 0), ('D1', 1), ('D2', 0), ('LS', 0), ('RS', 0)]) t2 = OrderedDict([('P1', 0), ('P2', 0), ('P3', 0), ('D1', 0), ('D2', 1), ('LS', 0), ('RS', 0)]) t_L = OrderedDict([('P1', 0), ('P2', 0), ('P3', 0), ('D1', 0), ('D2', 0), ('LS', 1), ('RS', 0)]) t_R = OrderedDict([('P1', 0), ('P2', 0), ('P3', 0), ('D1', 0), ('D2', 0), ('LS', 0), ('RS', 1)]) # extraction for sweepable gates L_sweep = OrderedDict([(list(L.keys())[0], list(L.values())[0]), (list(L.keys())[1], list(L.values())[1]), (list(L.keys())[2], list(L.values())[2])]) M_sweep = OrderedDict([(list(M.keys())[0], list(M.values())[0]), (list(M.keys())[1], list(M.values())[1]), (list(M.keys())[2], list(M.values())[2])]) R_sweep = OrderedDict([(list(R.keys())[0], list(R.values())[0]), (list(R.keys())[1], list(R.values())[1]), (list(R.keys())[2], list(R.values())[2])]) # make the cross-capacitance matrices and invert cc_sweep = np.array([list(L_sweep.values()), list(M_sweep.values()), list(R_sweep.values())]) cc_sweep_inv = np.linalg.inv(cc_sweep) cc = np.array([list(L.values()), list(M.values()), list(R.values()), list(t1.values()), list(t2.values()), list(t_L.values()), list(t_R.values())]) cc_inv = np.linalg.inv(cc) # make the inverted chemical potentials mu_L_inv = dict() mu_M_inv = dict() mu_R_inv = dict() for i in range(3): mu_L_inv[list(L_sweep.keys())[i]] = np.dot(cc_sweep_inv, np.array([1,0,0]))[i] mu_M_inv[list(M_sweep.keys())[i]] = np.dot(cc_sweep_inv, np.array([0,1,0]))[i] mu_R_inv[list(R_sweep.keys())[i]] = np.dot(cc_sweep_inv, np.array([0,0,1]))[i] # virtual P1+P2 gate Dot_LR = {'P1': mu_L_inv['P1'] + mu_M_inv['P1'], 'P2': mu_L_inv['P2'] + mu_M_inv['P2'], 'P3': mu_L_inv['P3'] + mu_M_inv['P3']} # dot gate dictionary for epsilon, delta, and mu Dot_epsilon = dict() Dot_delta = dict() Dot_mu = dict() for i in list(mu_L_inv): Dot_epsilon[i] = ( mu_L_inv.get(i) - mu_R_inv.get(i) ) / mu_L_inv.get('P1') Dot_delta[i] = (- mu_L_inv.get(i) + mu_M_inv.get(i) - mu_R_inv.get(i) ) / mu_M_inv.get('P2') Dot_mu[i] = ( mu_L_inv.get(i) + mu_M_inv.get(i) + mu_R_inv.get(i) ) / mu_L_inv.get('P1') # dot gate dictionary for the other parameters Dot_t1 = {list(t1.keys())[3]: cc_inv[3,3]} Dot_t2 = {list(t2.keys())[4]: cc_inv[4,4]} Dot_t_L = {list(t_L.keys())[5]: cc_inv[5,5]} Dot_t_R = {list(t_R.keys())[6]: cc_inv[6,6]} for i in range(3): Dot_t1[list(L_sweep.keys())[i]] = cc_inv[:,3][i] Dot_t2[list(L_sweep.keys())[i]] = cc_inv[:,4][i] Dot_t_L[list(L_sweep.keys())[i]] = cc_inv[:,5][i] Dot_t_R[list(L_sweep.keys())[i]] = cc_inv[:,6][i] #%% Do 1D scan for a polarization line fig = 1001 gg = ['P1','P3'] gatevals = gates.allvalues() activegates = ['P1','P2','P3','D1','D2','LS','RS','SDP','SDR','SDL','T'] gate = gg[0] sweeprange = 5 period = 1e-3 gates.set(gg[0], 17) gates.set(gg[1], -211) Naverage = 1000 waveform, sweep_info = station.awg.sweep_gate(gate, sweeprange, period) ReadDevice = ['FPGA_ch%d' % fpga_ch] _,DataRead_ch1,DataRead_ch2 = station.fpga.readFPGA(Naverage=Naverage, ReadDevice=ReadDevice, waittime=waittime) station.awg.stop() dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_process(dataread, waveform, Naverage) dataset, plot = makeDataset_sweep(data, gate, sweeprange, fig=fig, gates=gates) titletxt = plot.title.get_text() plot.title.set_text(titletxt + ', diff_dir: %s' % diff_dir) gates.resetgates(activegates,gatevals) #%% Do 1D scan for a charge addition line fig = 1002 gg = ['P2'] gate = gg[0] sweeprange = 5 period = 1e-3 Naverage = 1000 waittime = Naverage * period waveform, sweep_info = station.awg.sweep_gate(gate, sweeprange, period) ReadDevice = ['FPGA_ch%d' % fpga_ch] _,DataRead_ch1,DataRead_ch2 = station.fpga.readFPGA(Naverage=Naverage, ReadDevice=ReadDevice, waittime=waittime) station.awg.stop() dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_process(dataread, waveform, Naverage) dataset, plot = makeDataset_sweep(data, gate, sweeprange, fig=fig, gates=gates) titletxt = plot.title.get_text() plot.title.set_text(titletxt + ', diff_dir: %s' % diff_dir) #%% Retune single gate gates.set_P2(gates.get_P2()-0.1) #%% Record time trace with FPGA fig = 1005 import matplotlib.pyplot as plt plt.close(fig) gg = ['P2'] gate = gg[0] sweeprange = 0 period = 8e-3 Naverage = 1 waittime = 0 waveform, sweep_info = station.awg.sweep_gate(gate, sweeprange, period) ReadDevice = ['FPGA_ch%d' % fpga_ch] _,DataRead_ch1,DataRead_ch2 = station.fpga.readFPGA(Naverage=Naverage, ReadDevice=ReadDevice, waittime=waittime) station.awg.stop() dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_process(dataread, waveform, Naverage) plot = MatPlot(data, interval=0) #%% from qtt.algorithms.tunneling import fit_pol_all, polmod_all_2slopes par_fit = fit_pol_all(dataset.P1.ndarray, dataset.measured.ndarray) #TODO: add fit to dataplot MatPlot(dataset.P1.ndarray, polmod_all_2slopes(dataset.P1.ndarray, par_fit), interval=0) # convert t1 from mV to GHz t1_hz = par_fit[0]*80*(cc[0,0]-cc[1,0])/4.2 #%% focus at transition gates.P1.set(0) gates.P3.set(-190) # gates.P1.set(17) gates.P3.set(-211) #%% single fast 2D scan with virtual plungers # TODO(TF): think how to generalize the step axis for other instruments, also for 1D import qtt.scans from imp import reload reload(qtt.scans) from qtt.scans import scan2Dfast #scangates = ['P2','P3'] scangates = ['P1','P2','P3'] gatevals = gates.allvalues() gg = [gates.get(scangates[0]), gates.get(scangates[1])] activegates = ['P1','P2','P3','D1','D2','LS','RS','SDP','SDR','SDL','T'] #activegates = scangates if __name__ == '__main__' and 1: stepgate = getattr(gates,scangates[0]) stepgateval = stepgate.get() plot = MatPlot(interval=0) delay = 0.1 scanjob = dict({'sweepdata': dict({'gate': scangates[1], 'start': gg[1] - 40, 'end': gg[1] + 40, 'step': 2.}), 'delay': delay}) scanjob['stepdata'] = dict({'gate': scangates[0], 'start': gg[0] + 80, 'end': gg[0] - 80, 'step': -2}) scanjob['sd'] = sd scanjob['sweepdata']['period'] = .5e-3 # scanjob['gates_horz'] = {'P2':1, 'P3': 0} # scanjob['gates_vert'] = {'P2':0, 'P3': 1} scanjob['gates_horz'] = mu_R_inv scanjob['gates_horz'] = {'P1': 0.0066602222076373452*2, 'P2': -0.40117006534666505*2, 'P3': 0.96032257332014703*2} # mu_R_inv * const # scanjob['gates_vert'] = mu_M_inv # scanjob['gates_horz'] = Dot_epsilon # scanjob['gates_vert'] = Dot_mu # scanjob['gates_horz'] = {'P1':1, 'P2': -0.8, 'P3': -0.2} # scanjob['gates_vert'] = {'P1':0, 'P2': 1} # scanjob['gates_horz'] = {'P2':1, 'P3': 0} # scanjob['gates_vert'] = {'P2':0, 'P1': 1} # scanjob['gates_horz'] = {'P1':1, 'P3': -1.25} # scanjob['gates_vert'] = {'P1':1, 'P2':0.6, 'P3':1,'SDP': -.5} # scanjob['gates_vert'] = {'P1':1, 'P2':0.5, 'P3':1} # scanjob['gates_horz'] = {'P1': 1, 'P3': -1} # scanjob['gates_vert'] = {'P1': .5, 'P2': .5, 'P3': .5} scanjob['gates_vert'] = Dot_t_R scanjob['fpga_samp_freq'] = fpga.get_sampling_frequency() diff_dir = 'xy' RF.on() alldata = scan2Dfast(station, scanjob, liveplotwindow=plot, diff_dir=diff_dir, wait_time=None, background=False) plot.fig.axes[0].autoscale(tight=True) plot.fig.axes[1].autoscale(tight=True) gates.resetgates(activegates,gatevals) RF.off() if 0: diff_dir = 'x' imx = qtt.diffImageSmooth(alldata.measured.ndarray, dy=diff_dir) data_arr = qcodes.DataArray(name='diff', label='diff', array_id='diff', set_arrays=alldata.measured.set_arrays, preset_data=imx) alldata.add_array(data_arr) plot_2 = plot # reserving this plot for later analysis #%% ADDED(TF): multiple fast-2D scans with single virtual plunger sweep, mainly for capacitance measurements import qtt.scans from imp import reload reload(qtt.scans) from qtt.scans import scan2Dfast from qtt.tools import mouseClick ## set gate voltages to the center of the relevant charging line before running #dotgate = 'P3' # gate corresponding to the relevant dot (fast gate) #stepgates = ['P1','P2','D1','D2','LS','RS','SDP','SDL','SDR','T'] # all the gates for measuring cross-capacitances #cc_init = [0.198, 0.507, 0.395, 1.184, 0.084, 0.941, 0.074, 0.064, 0.066, 3.632] # initial guess of cross capacitances #dotgate = 'P2' # gate corresponding to the relevant dot (fast gate) #stepgates = ['P1','P3','D1','D2','LS','RS','SDP','SDL','SDR','T'] # all the gates for measuring cross-capacitances #cc_init = [0.537, 0.386, 1.206, 0.855, 0.318, 0.251, 0.084, 0.088, 0.066, 4.022] # initial guess of cross capacitances dotgate = 'P1' # gate corresponding to the relevant dot (fast gate) stepgates = ['P2','P3','D1','D2','LS','RS','SDP','SDL','SDR','T'] # all the gates for measuring cross-capacitances cc_init = [0.454, 0.190, 1.535, 0.460, 1.020, 0.167, 0.079, 0.065, 0.067, 3.186] # initial guess of cross capacitances try: len(stepgates) == len(cc_init) except ValueError: print("Oops! That was no valid VECTOR. Try again...") RF.on() for step_num, stepgate_name in enumerate(stepgates): scangates = [stepgate_name,dotgate] gatevals = gates.allvalues() gg = [gates.get(scangates[0]), gates.get(scangates[1])] activegates = scangates if __name__ == '__main__' and 1: stepgate = getattr(gates,scangates[0]) stepgateval = stepgate.get() plot = MatPlot(interval=0) delay = 0.1 step_width = 12 / 2 scanjob = dict({'sweepdata': dict({'gate': scangates[1], 'start': gg[1] - step_width*cc_init[step_num], 'end': gg[1] + step_width*cc_init[step_num], 'step': 1.}), 'delay': delay}) scanjob['stepdata'] = dict({'gate': scangates[0], 'start': gg[0] + step_width, 'end': gg[0] - step_width, 'step': -0.1}) scanjob['sd'] = sd scanjob['sweepdata']['period'] = .5e-3 if dotgate == 'P2': scanjob['gates_horz'] = {dotgate:1, 'P1': 0} # second one is a dummy gate else: scanjob['gates_horz'] = {dotgate:1, 'P2': 0} # second one is a dummy gate scanjob['gates_vert'] = {dotgate:0, stepgate_name: 1} scanjob['fpga_samp_freq'] = fpga.get_sampling_frequency() diff_dir = 'xy' alldata = scan2Dfast(station, scanjob, liveplotwindow=plot, wait_time=None, background=False) plot.fig.axes[0].autoscale(tight=True) plot.fig.axes[1].autoscale(tight=True) gates.resetgates(activegates,gatevals) exec('plot_' + str(step_num) + '=plot') # reserving plot for later analysis clicks = mouseClick(plot) # run mauseClick() class from the develp_automated_crosscapacitance.py RF.off() #%% for g in scanjob['gates_vert']: gates.get(g) #%% do a single qcodes loop of the sensing dot plunger if __name__=='__main__' and 1: SDP_val = gates.SDP.get() RF.on() station.set_measurement(station.keithley1.amplitude) loop_1d = qcodes.Loop(gates.SDP[-250:-300:1],delay=0.1) dataset = loop_1d.run(background=False, data_manager=False) qcodes.plots.qcmatplotlib.MatPlot(dataset.default_parameter_array(), interval=0) gates.SDP.set(SDP_val) #%% 2d scan if __name__=='__main__' and 1: # loop_2d = qcodes.Loop(gates.SDL[-300:0:5],delay=0.1).loop(gates.SDR[-10:0:5]) loop_2d = qcodes.Loop(gates.SDL[-300:0:5],delay=0.1).each(qcodes.Loop(gates.SDR[-300:0:5],delay=.1).each(station.keithley2.amplitude)) dataset_2d = loop_2d.run(background=False, data_manager=False) qcodes.plots.qcmatplotlib.MatPlot(dataset_2d.default_parameter_array(), interval=0) #%% single veryfast 2D scan if __name__=='__main__': fig = 111 sweepgates = ['P1','P3'] sweepranges = [80, 80] resolution = [90,90] Naverage = 1000 fpga_ch = 1 diff_dir = 'xy' # diff_dir = None waveform, sweep_info = station.awg.sweep_2D(station.fpga.get_sampling_frequency(), sweepgates, sweepranges, resolution) waittime = resolution[0]*resolution[1]*Naverage/fpga.get_sampling_frequency() ReadDevice = ['FPGA_ch%d' % fpga_ch] _,DataRead_ch1,DataRead_ch2 = station.fpga.readFPGA(Naverage=Naverage, ReadDevice=ReadDevice, waittime=waittime) station.awg.stop() dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_2D_process(dataread, waveform, diff_dir=diff_dir) dataset, plot = makeDataset_sweep_2D(data, gates, sweepgates, sweepranges, fig=111) titletxt = plot.title.get_text() plot.title.set_text(titletxt + ', diff_dir: %s' % diff_dir) name = '_'.join(sai.array_id for sai in dataset.measured.set_arrays) dataset.location = dataset.location_provider(dataset.default_io, record={'name': name}) dataset.write() #%% station.awg.sweep_run(sweep_info) station.awg.stop() dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_2D_process(dataread, waveform, diff_dir=diff_dir) dataset, plot = makeDataset_sweep_2D(data, gates, sweepgates, sweepranges, fig=111) titletxt = plot.title.get_text() plot.title.set_text(titletxt + ', diff_dir: %s' % diff_dir) name = '_'.join(sai.array_id for sai in dataset.measured.set_arrays) dataset.location = dataset.location_provider(dataset.default_io, record={'name': name}) dataset.write() #%% single veryfast 2D scan of virtual gates if __name__=='__main__': fig = 203 # gates_horz = {'P1': 1, 'P3': -.0} # gates_vert = {'P3': 1, 'P1': -.0} # gates_horz = {'P1': 1, 'P3': -1} # gates_vert = {'P1': -.5, 'P2': 1, 'P3': -.5} # gates_horz = {'P1': 1, 'P3': -1} # gates_vert = {'P1': .5, 'P2': .5, 'P3': .5} # gates_horz = mu_M_inv # gates_vert = mu_R_inv gates_horz = Dot_epsilon gates_vert = Dot_delta gates_vert = Dot_mu sweepranges = [90, 150] sweepgates = ['P1', 'P2'] resolution = [90,90] Naverage = 1000 fpga_ch = 1 diff_dir = 'xy' # diff_dir = None waveform, sweep_info = station.awg.sweep_2D_virt(station.fpga.get_sampling_frequency(), gates_horz, gates_vert, sweepranges, resolution) waittime = resolution[0]*resolution[1]*Naverage/fpga.get_sampling_frequency() ReadDevice = ['FPGA_ch%d' % fpga_ch] _,DataRead_ch1,DataRead_ch2 = station.fpga.readFPGA(Naverage=Naverage, ReadDevice=ReadDevice, waittime=waittime) station.awg.stop() dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_2D_process(dataread, waveform, diff_dir=None) dataset, plot = makeDataset_sweep_2D(data, gates, sweepgates, sweepranges, fig=fig) titletxt = plot.title.get_text() plot.title.set_text(titletxt + ', diff_dir: %s' % diff_dir) plot.fig.axes[0].autoscale(tight=True) plot.fig.axes[1].autoscale(tight=True) fig = 204 dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_2D_process(dataread, waveform, diff_dir=diff_dir) dataset, plot = makeDataset_sweep_2D(data, gates, sweepgates, sweepranges, fig=fig) titletxt = plot.title.get_text() plot.title.set_text(titletxt + ', diff_dir: %s' % diff_dir) plot.fig.axes[0].autoscale(tight=True) plot.fig.axes[1].autoscale(tight=True) name = '_'.join(sai.array_id for sai in dataset.measured.set_arrays) dataset.location = dataset.location_provider(dataset.default_io, record={'name': name}) dataset.write() #%% videomode tuning if __name__=='__main__': sweepgates = ['P1','P3'] sweepranges = [100,100] resolution = [90,90] Naverage = 25 fpga_ch = 1 diff_dir = 'xy' waveform, sweep_info = station.awg.sweep_2D(station.fpga.get_sampling_frequency(), sweepgates, sweepranges, resolution) lp = livePlot(gates, sweepgates, sweepranges) lp.datafunction = fpgaCallback_2d(station, waveform, Naverage, fpga_ch, resolution, diff_dir) lp.startreadout(rate=10) #%% videomode tuning with virtual gates if __name__=='__main__': sweepgates = ['P1','P3'] # gates_horz = {'P1':1, 'P3': -1.25} # gates_vert = {'P1':1, 'P2':.5, 'P3':0.8} ## gates_horz = {'P1': 1, 'P3': -.2} ## gates_vert = {'P3': 1, 'P1': -.2} # gates_horz = {'P1': 1, 'P3': -1.25} # gates_vert = {'P1': -.5, 'P2': 1, 'P3': -.4} # gates_horz = {'P1': 1, 'P2': 0} # gates_vert = {'P1': 0, 'P3': 1} ## gates_horz = mu_R_inv gates_horz = mu_R_inv gates_vert = Dot_LR # gates_horz = Dot_epsilon # gates_vert = Dot_mu sweepranges = [90, 140] sweepranges = [140, 90] resolution = [90,90] Naverage = 25 fpga_ch = 1 diff_dir = 'xy' RF.on() waveform, sweep_info = station.awg.sweep_2D_virt(station.fpga.get_sampling_frequency(), gates_horz, gates_vert, sweepranges, resolution) lp = livePlot(gates, sweepgates, sweepranges) lp.datafunction = fpgaCallback_2d(station, waveform, Naverage, fpga_ch, resolution, diff_dir) lp.startreadout(rate=10) #%% stop video mode lp.stopreadout() awg.stop() RF.off() #%% single 2D scan (2D scan in scans does not work) # crashes still! (does it matter which direction we step?) scangates = ['SDL','SDR'] gg = [0, 0] #gg = [136, 100] #gg = [gates.get(sweepgates[0]), gates.get(sweepgates[1])] if __name__ == '__main__' and 1: gate_horz = getattr(gates, scangates[0]) gate_vert = getattr(gates, scangates[1]) delay = .01 scanjob = dict({'sweepdata': dict({'gate': scangates[1], 'start': gg[1] - 500, 'end': gg[1] , 'step': 5.}), 'delay': delay}) scanjob['stepdata'] = dict({'gate': scangates[0], 'start': gg[0] - 500, 'end': gg[0], 'step': 5.}) # move/combine this code to scan2D in qtt.scans station.set_measurement(station.keithley2.amplitude) loop2D = qcodes.Loop(gate_horz[scanjob['sweepdata']['start']:scanjob['sweepdata']['end']:scanjob['sweepdata']['step']], delay=delay) loop2D_full = loop2D.loop(gate_vert[scanjob['stepdata']['start']:scanjob['stepdata']['end']:scanjob['stepdata']['step']], delay=delay) alldata = loop2D_full.run(background=False, data_manager=False) gates.set(scangates[0], gg[0]) gates.set(scangates[1], gg[1]) #%% scan all pairs of plungers for dots below plungers = ['P1','P2','P3'] fpga.set_sampling_frequency(200000) pairs = [] for i in plungers: for j in plungers: if i != j: pairs += [[i,j]] if __name__=='__main__': plungers = ['P1','P2','P3'] fignum = 500 for i in range(0,len(plungers)*2): fig = fignum + i sweepgates = pairs[i] sweepranges = [80, 80] resolution = [90,90] Naverage = 1000 fpga_ch = 1 diff_dir = 'xy' waveform, sweep_info = station.awg.sweep_2D(station.fpga.get_sampling_frequency(), sweepgates, sweepranges, resolution) waittime = resolution[0]*resolution[1]*Naverage/fpga.get_sampling_frequency() ReadDevice = ['FPGA_ch%d' % fpga_ch] _,DataRead_ch1,DataRead_ch2 = station.fpga.readFPGA(Naverage=Naverage, ReadDevice=ReadDevice, waittime=waittime) station.awg.stop() dataread = [DataRead_ch1,DataRead_ch2][fpga_ch-1] data = station.awg.sweep_2D_process(dataread, waveform, diff_dir=diff_dir) dataset, plot = makeDataset_sweep_2D(data, gates, sweepgates, sweepranges, fig=fig) titletxt = plot.title.get_text() plot.title.set_text(titletxt + ', diff_dir: %s' % diff_dir) name = '_'.join(sai.array_id for sai in dataset.measured.set_arrays) dataset.location = dataset.location_provider(dataset.default_io, record={'name': name}) dataset.write() qtt.pmatlab.tilefigs([500,501,502,503,504,505],[3,2]) #%% Fit lines and calculate slopes from qtt.deprecated.linetools import costFunctionLine from scipy.optimize import minimize import matplotlib.pyplot as plt pp = ['P3', 'P1'] verbose = 0 cb = None param0 = [-5,5,.5*np.pi] # x,y,theta, px = [dataset.measured.ndarray.shape[0]//2,dataset.measured.ndarray.shape[1]//2] imx = dataset.measured.ndarray istep = .5 cgate = pp[0] igate = pp[1] costfun = lambda x : costFunctionLine(x, -imx, verbose=0, istep=istep, px=px, dthr=1, dwidth=2) res = minimize(costfun, param0, method='powell', options={'maxiter': 3000, 'maxfev': 101400, 'xtol': 1e-8, 'disp': verbose>=2}, callback=cb) c = costFunctionLine(res.x, imx, istep, verbose=1, fig=fig, px=px); plt.figure(fig); plt.xlabel(cgate); plt.ylabel(igate); plt.close(fig+1) #%% parameterviewer from qtt.parameterviewer import createParameterWidgetRemote from qtt.parameterviewer import createParameterWidget if __name__=='__main__' and not remote: p = createParameterWidget([gates,]) if __name__=='__main__' and remote: p=createParameterWidgetRemote([gates,]) #%% load data and plot results if __name__=='__main__' and 1: olddatadir = r'K:\ns\qt\spin-qubits\data\b057_data\2016 3dot experiment\data\2016-11-11\18-20-44_P2_P3' dataset_old = load_data(location=olddatadir) # qcodes.plots.pyqtgraph.QtPlot(dataset_old.measured, interval=0) plotje = qcodes.plots.qcmatplotlib.MatPlot(dataset_old.measured, interval=0) #%% delta x = 2 gates.P1.set(gates.P1.get()+Dot_delta['P1']*x) gates.P2.set(gates.P2.get()+Dot_delta['P2']*x) gates.P3.set(gates.P3.get()+Dot_delta['P3']*x) #%% epsilon x = 2 gates.P1.set(gates.P1.get()+Dot_epsilon['P1']*x) gates.P2.set(gates.P2.get()+Dot_epsilon['P2']*x) gates.P3.set(gates.P3.get()+Dot_epsilon['P3']*x) #%% mu x = 4 gates.P1.set(gates.P1.get()+Dot_mu['P1']*x) gates.P2.set(gates.P2.get()+Dot_mu['P2']*x) gates.P3.set(gates.P3.get()+Dot_mu['P3']*x) gates.SDP.set(gates.SDP.get() - 0.15*x) #%% tuning t1 x = 40 gates.D1.set(gates.D1.get()+Dot_t1['D1']*x) gates.P1.set(gates.P1.get()+Dot_t1['P1']*x) gates.P2.set(gates.P2.get()+Dot_t1['P2']*x) gates.P3.set(gates.P3.get()+Dot_t1['P3']*x) gates.allvalues() #%% tuning t2 x = 10 gates.D2.set(gates.D2.get()+Dot_t2['D2']*x) gates.P1.set(gates.P1.get()+Dot_t2['P1']*x) gates.P2.set(gates.P2.get()+Dot_t2['P2']*x) gates.P3.set(gates.P3.get()+Dot_t2['P3']*x) gates.allvalues() #%% tuning t_L x = -20 gates.LS.set(gates.LS.get()+Dot_t_L['LS']*x) gates.P1.set(gates.P1.get()+Dot_t_L['P1']*x) gates.P2.set(gates.P2.get()+Dot_t_L['P2']*x) gates.P3.set(gates.P3.get()+Dot_t_L['P3']*x) gates.allvalues() #%% tuning t_R x = -5 gates.RS.set(gates.RS.get()+Dot_t_R['RS']*x) gates.P1.set(gates.P1.get()+Dot_t_R['P1']*x) gates.P2.set(gates.P2.get()+Dot_t_R['P2']*x) gates.P3.set(gates.P3.get()+Dot_t_R['P3']*x) gates.allvalues() #%% L x = -5 gates.P1.set(gates.P1.get()+mu_L_inv['P1']*x) gates.P2.set(gates.P2.get()+mu_L_inv['P2']*x) gates.P3.set(gates.P3.get()+mu_L_inv['P3']*x) #%% M x = -10 gates.P1.set(gates.P1.get()+mu_M_inv['P1']*x) gates.P2.set(gates.P2.get()+mu_M_inv['P2']*x) gates.P3.set(gates.P3.get()+mu_M_inv['P3']*x) #%% R x = -5 gates.P1.set(gates.P1.get()+mu_R_inv['P1']*x) gates.P2.set(gates.P2.get()+mu_R_inv['P2']*x) gates.P3.set(gates.P3.get()+mu_R_inv['P3']*x) #%% sensing dot x = 2 gates.SDP.set(gates.SDP.get() + x) #%% LS,RS? x = 5 gates.P1.set(gates.P1.get()-x) gates.P2.set(gates.P2.get()+.6*x) gates.P3.set(gates.P3.get()-x) gates.LS.set(gates.LS.get()+x) gates.RS.set(gates.RS.get()+x) #%% x = 5 gates.P1.set(gates.P1.get()+x*1) gates.P2.set(gates.P2.get()+x*.5) gates.P3.set(gates.P3.get()+x*.8) #%% x = 10 gates.T.set(gates.T.get()+x) gates.P1.set(gates.P1.get()-x) gates.P2.set(gates.P2.get()-x) gates.P3.set(gates.P3.get()-x) gates.D1.set(gates.D1.get()-x/2) gates.D2.set(gates.D2.get()-x/2) gates.LS.set(gates.LS.get()-x/2) gates.RS.set(gates.RS.get()-x/2) gates.SDR.set(gates.SDR.get()-x) gates.SDP.set(gates.SDP.get()-x) gates.SDL.set(gates.SDL.get()-x) #%% x = -10 gates.D2.set(gates.D2.get()+x) gates.P2.set(gates.P2.get()-x/2) gates.P3.set(gates.P3.get()-x/2) #%% # pid 5604: WARNING helpers.py:204 - negative delay -0.054258 sec #%% FPGA marker error? #Sending the waveform sweep_P1 #Sending the waveform sweep_P3 #scan2Dfast: 0/50: setting P3 to -189.059 #Traceback (most recent call last): # # File "<ipython-input-6-b0f69151b5a6>", line 40, in <module> # alldata = scan2Dfast(station, scanjob, liveplotwindow=plot, diff_dir=diff_dir, wait_time=None, background=False) # # File "D:\Users\diepencjv\qtt\qtt\scans.py", line 492, in scan2Dfast # alldata.measured.ndarray[ix] = readfunc(waveform, Naverage) # #ValueError: could not broadcast input array from shape (462) into shape (16) #%% voltages to reset to basevalues = {'D1': 0.030518043793335892, 'D2': 0.030518043793335892, 'LS': 0.030518043793335892, 'LS_fine': 0.030518043793335892, 'P1': 0.030518043793335892, 'P1_fine': 0.21362630655380599, 'P2': 0.030518043793335892, 'P2_fine': 1.0070954451819034, 'P3': 0.030518043793335892, 'P3_fine': 4.242008087281647, 'QPC': 0.030518043793335892, 'RS': 0.030518043793335892, 'RS_fine': 0.030518043793335892, 'SDL': -326.02426184481578, 'SDP': 0.030518043793335892, 'SDP_fine': 0.030518043793335892, 'SDR': -389.99008163576718, 'T': -95.796139467460307, 'bias_1': 0.030518043793335892, 'bias_2': -499.97711146715505, 'bias_3': 0.030518043793335892, 'bias_4': 0.030518043793335892} #%% reset gates to basevalues activegates = basevalues.keys() gates.resetgates(activegates, basevalues)
import requests import json import numpy as np import pandas as pd urla = "https://data.smartdublin.ie/cgi-bin/rtpi/realtimebusinformation" urlb = str(235) urlc = "&format=json" url = urla+urlb+urlc response = requests.get(urla) data = response.json() print(data) #create with json codedump from Dublin Bus API filename = 'realtime.json' f=open(filename,'w') json.dump(data, f, indent=4) #create a formatted pandas df and .csv file data from Dublin Bus API busArrivals = [] for nextBus in data["results"]: busArrivals.append(nextBus["route"]) busArrivals.append(nextBus["destination"]) busArrivals.append(nextBus["duetime"]) print('RealTime Arrival Info for Bus Stop:', data["stopid"]) print(busArrivals) if busArrivals == 0: print('No Bus Routes Found... you will have to walk') else: a = np.asarray([ busArrivals ]) a = pd.DataFrame(a).T b = pd.DataFrame(np.asarray(a.iloc[::3, :])) c = np.asarray(a.iloc[1::3, :]) d = np.asarray(a.iloc[2::3, :]) b['2'] = c b['3'] = d b.columns=['Route','Destination','Duetime'] # b.to_csv("realtime.csv") # b.to_csv("server/realtime.csv") live = b.to_dict('index') print(live)
# Copyright 2016-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import torch, glob, os from .sparseConvNetTensor import SparseConvNetTensor from .metadata import Metadata def toLongTensor(dimension, x): if hasattr(x, 'type') and x.type() == 'torch.LongTensor': return x elif isinstance(x, (list, tuple)): assert len(x) == dimension return torch.LongTensor(x) else: return torch.LongTensor(dimension).fill_(x) def optionalTensor(a, b): return getattr(a, b) if hasattr(a, b) else torch.Tensor() def optionalTensorReturn(a): return a if a.numel() else None def threadDatasetIterator(d): try: import queue except BaseException: import Queue as queue import threading def iterator(): def worker(i): for k in range(i, len(d), 8): q.put(d[k]) q = queue.Queue(16) for i in range(8): t = threading.Thread(target=worker, args=(i,)) t.start() for _ in range(len(d)): item = q.get() yield item q.task_done() q.join() return iterator def concatenate_feature_planes(input): output = SparseConvNetTensor() output.metadata = input[0].metadata output.spatial_size = input[0].spatial_size output.features = torch.cat([i.features for i in input], 1) return output def add_feature_planes(input): output = SparseConvNetTensor() output.metadata = input[0].metadata output.spatial_size = input[0].spatial_size output.features = sum([i.features for i in input]) return output def append_tensors(tensors): spatial_size=tensors[0].spatial_size dimension=len(spatial_size) x=SparseConvNetTensor( features=torch.cat([t.features for t in tensors],0), metadata=Metadata(dimension), spatial_size=spatial_size) for t in tensors: x.metadata.appendMetadata(t.metadata,spatial_size) return x class AddCoords(torch.nn.Module): def forward(self, input): output = SparseConvNetTensor() if input.features.numel(): with torch.no_grad(): coords = input.get_spatial_locations() d = (input.spatial_size.type_as(input.features)-1)/2 coords=coords[:,:-1].type_as(input.features)/ d[None,:] - 1 output.features = torch.cat([input.features,coords],1) else: output.features = input.features output.metadata = input.metadata output.spatial_size = input.spatial_size return output def compare_sparse(x, y): cL,cR,L,R = x.metadata.compareSparseHelper(y.metadata, x.spatial_size) if x.features.is_cuda: cL=cL.cuda() cR=cR.cuda() L=L.cuda() R=R.cuda() e = 0 if cL.numel(): e += (x.features[cL]-y.features[cR]).pow(2).sum() if L.numel(): e += x.features[L].pow(2).sum() if R.numel(): e += y.features[R].pow(2).sum() return e / (cL.numel() + L.numel() + R.numel()) def spectral_norm_svd(module): w=module.weight if w.ndimension()==3: w=w.view(-1,w.size(2)) _,s,_=torch.svd(w) return s[0] def pad_with_batch_idx(x,idx): #add a batch index to the list of coordinates return torch.cat([x,torch.LongTensor(x.size(0),1).fill_(idx)],1) def batch_location_tensors(location_tensors): a=[] for batch_idx, lt in enumerate(location_tensors): if lt.numel(): a.append(pad_with_batch_idx(lt,batch_idx)) return torch.cat(a,0) def checkpoint_restore(model,exp_name,name2,use_cuda=True,epoch=0): if use_cuda: model.cpu() if epoch>0: f=exp_name+'-%09d-'%epoch+name2+'.pth' assert os.path.isfile(f) print('Restore from ' + f) model.load_state_dict(torch.load(f)) else: f=sorted(glob.glob(exp_name+'-*-'+name2+'.pth')) if len(f)>0: f=f[-1] print('Restore from ' + f) model.load_state_dict(torch.load(f)) epoch=int(f[len(exp_name)+1:-len(name2)-5]) if use_cuda: model.cuda() return epoch+1 def is_power2(num): return num != 0 and ((num & (num - 1)) == 0) def checkpoint_save(model,exp_name,name2,epoch, use_cuda=True): f=exp_name+'-%09d-'%epoch+name2+'.pth' model.cpu() torch.save(model.state_dict(),f) if use_cuda: model.cuda() #remove previous checkpoints unless they are a power of 2 to save disk space epoch=epoch-1 f=exp_name+'-%09d-'%epoch+name2+'.pth' if os.path.isfile(f): if not is_power2(epoch): os.remove(f)
import numpy as np import copy import multiprocessing as mpc import pandas as pd import functools as fct import os from .inference_utils import init_search_directory, dset_list_logl from .inference_utils import save_search_initial_setup from .inference_utils import generate_variated_par from .inference_utils import mc_accept, mc_switch class parallel_tempering: ''' Class that implements the likelihood maximization inference procedure. It displays three main methods: the class initializer and two search method. The initializer methods creates an empty folder in the specified location, in which it saves the search parameters (search_setup.txt), the experimental datasets (dataset_list.pkl) and the initial value of the model parameters (par_i.pkl). The only difference between the two search methods is that the search_parallel method is parallelized with the use of the multiprocessing library. Both methods implement the parallel termpering technique to find the maximum-likelihood value of the model parameters. During the search results are progressively saved in a csv file, whose name ends with 'search_history.csv'. This file stores all the updates of all the parameters for every layer. Next to each parameter set also other values are saved, namely: - logl: the log-likelihood of the parameter set - layer: the layer to whom the parameter set belongs - temp: the temperature associated to the layer - switch: wether the parameter set was switched with another layer in this round - round: the round at which the parameter set was saved. - traj_id: the trajectory to whom the parameter set belongs. Trajectory ids are switched together with the parameter sets. ''' def __init__(self, dset_list, par_i, n_layers, T_max, pars_to_mutate, save_folder, beta_list=None, mut_strength_list=None, mut_single_list=None, save_every=100): ''' Class initializer for parallel_tempering class. This function initializes the search parameters, creates the folder in which to save data, and saves the initial state of the parameters, the experimental dataset and the initial value of the parameters. Args: - dset_list (list of dataset objects): list of dataset objects containing all the experimental measurements and schemes of which the likelihood must be maximized. - par_i (model parameters dictionary): initial value of the model parameters in the maximization algorithm. - n_layers (int): number of parallel tempering layers. - T_max (int): total number of iterations of the likelihood maximization procedure. - pars_to_mutate (list of str): list containing the parameters whose maximum-likelihood value must be found. - save_folder (str): name of the folder in which details and results of the search will be saved. As a precaution the folder must be either non-existent (in which case it will be created) or empty. - beta_list (optional, list of float): list of inverse temperatures per layer. If specified it must have the same dimensions of the number of layers. If not specified is initialized as log-spaced between 10^3 and 10^-3. Inverse temperatures should be in decreasing order. - mut_strength_list (optional, list of float): values of the parameters mutation strength, quantifying the variation magnitude of the parameters for each layer. It should be a small number (0.1~0.01). If specified it must have the same dimension of the number of layers, otherwise it is initialized as log-spaced between 0.1 and 0.01. Mutation strength should be in increasing order. - mut_single_list (otpional, list of bool): wether parameters variation concerns all search parameters, or one at a time chosen randomly. If specified it must have the same dimension as the number of layers. - save_every (optional, int): number of rounds between two successive update of the save-file. Default value is 100. ''' # if save folder does not exists create it print('Initializing directory') init_search_directory(save_folder) # initialize search parameters self.dsets = dset_list # list of datasets self.n_layers = n_layers # number of parallel tempering layers self.T_max = T_max #  maximum number of search steps self.pars_to_mutate = pars_to_mutate # list of parameters to vary self.save_folder = save_folder #  save directory self.save_every = save_every #  number of iteration between two saves # list of layer temperatures. if beta_list is None: self.betas = np.logspace(-3, 3, n_layers)[::-1] else: self.betas = np.array(beta_list) # mutation strength for each layer if mut_strength_list is None: self.mut_str = np.logspace(-2, -1, n_layers) else: self.mut_str = np.array(mut_strength_list) # in which layer parameter variation concerns a single parameter at a time if mut_single_list is None: self.mut_sing = np.zeros(n_layers, dtype=np.bool) self.mut_sing[:(n_layers // 2) + 1] = True else: self.mut_sing = np.array(mut_single_list) # initialize layers and save initial setup print('Initializing layers') self.init_layers_and_save(par_i) def search_parallel(self): ''' Search function. This function launches the likelihood-maximization algorithm. The algorithm is parallel and runs on a number of cores equal (or minor if not enough cores are avalilable) to the number of parallel tempering layers. Every 'save_every' number of rounds all the parameters variation for all the layers are saved in a csv file whose name ends in 'search_history.csv'. ''' # initialize empty search history archive self.hist_df = pd.DataFrame() self.temp_hist = [] # save initial state for all layers print('Saving initial state of all layers') self.history_append_state( t=0, is_accepted=np.ones(self.n_layers, dtype=np.bool), is_switched=np.zeros(self.n_layers, dtype=np.bool) ) # define function to evaluate posterior log-likelihood of parameters logl_funct = fct.partial(dset_list_logl, dset_list=self.dsets) # spawn pool of workers for parallel evaluation n_procs = np.min([self.n_layers, mpc.cpu_count()]) print(f'Generating a pool of {n_procs} workers') with mpc.Pool(processes=n_procs) as pool: # start maximization cycle: for t in range(1, self.T_max + 1): print(f'round {t} / {self.T_max}') # produce random parameters new_pars = self.vary_pars() # in parallel evaluate logl of parameter sets for all layers new_logls = pool.map(logl_funct, new_pars) new_logls = np.array(new_logls) # monte-carlo step to accept variated parameters is_accepted = mc_accept(self.logls, new_logls, self.betas) self.pars[is_accepted] = new_pars[is_accepted] self.logls[is_accepted] = new_logls[is_accepted] # parallel tempering step to switch layers is_switched, order = mc_switch(self.logls, betas=self.betas) # update the new order self.logls = self.logls[order] self.pars = self.pars[order] self.traj_id = self.traj_id[order] # save all parameter changes self.history_append_state(t, is_accepted, is_switched) # every one hundred iterations save search history if t % self.save_every == 0: print(f'Save search history at search round t = {t}') self.save_search_history(t=t) pool.close() # save final version of the search history self.save_search_history(t='final') def search(self): ''' Search function. This function launches the likelihood-maximization algorithm. Every 'save_every' number of rounds all the parameters variation for all the layers are saved in a csv file whose name ends in 'search_history.csv'. ''' # initialize empty search history archive self.hist_df = pd.DataFrame() self.temp_hist = [] # save initial state for all layers print('Saving initial state of all layers') self.history_append_state( t=0, is_accepted=np.ones(self.n_layers, dtype=np.bool), is_switched=np.zeros(self.n_layers, dtype=np.bool) ) # define function to evaluate posterior log-likelihood of parameters logl_funct = fct.partial(dset_list_logl, dset_list=self.dsets) # start maximization cycle: for t in range(1, self.T_max + 1): print(f'round {t} / {self.T_max}') # produce random parameters new_pars = self.vary_pars() # evaluate logl of parameter sets for all layers new_logls = [logl_funct(par_set) for par_set in new_pars] new_logls = np.array(new_logls) # monte-carlo step to accept variated parameters is_accepted = mc_accept(self.logls, new_logls, self.betas) self.pars[is_accepted] = new_pars[is_accepted] self.logls[is_accepted] = new_logls[is_accepted] # parallel tempering step to switch layers is_switched, order = mc_switch(self.logls, betas=self.betas) # update the new order self.logls = self.logls[order] self.pars = self.pars[order] self.traj_id = self.traj_id[order] # save all parameter changes self.history_append_state(t, is_accepted, is_switched) # every one hundred iterations save search history if t % self.save_every == 0: print(f'Save search history at search round t = {t}') self.save_search_history(t=t) # save final version of the search history self.save_search_history(t='final') def init_layers_and_save(self, par_i): ''' Utility function used to initialize the layers and save the initial state of the search. It takes as argument the initial value of the model parameters. ''' # create a list of parameter sets, all equal to the initial one self.pars = [copy.deepcopy(par_i) for _ in range(self.n_layers)] self.pars = np.array(self.pars) # evaluate log-likelihood of the initial parameters set logl_0 = dset_list_logl(par_i, self.dsets) # initialize array of log-likelihoods self.logls = np.ones(self.n_layers) * logl_0 # initialize id of parameter sets self.traj_id = np.arange(self.n_layers) # save search parameters, dataset and initial parameter choice save_search_initial_setup(self) def history_append_state(self, t, is_accepted, is_switched): ''' Utility function to save the current round of the search. It takes as argument the round number, and two boolean arrays. These array specify wether the parameter set corresponding to every layer have been changed or switched during the round. In any of these two cases the parameter set is saved, together with some extra information related to the search, in the temporary history list. This list will be regularly emptied when parameters are saved into the '.csv' file ''' # which parameters have changed since last round is_changed = np.logical_or(is_accepted, is_switched) # indices of parameters that have changed idx_ch = np.argwhere(is_changed).flatten() for idx in idx_ch: # create a copy of the parameter and add additional entries # related to the search state par = copy.deepcopy(self.pars[idx]) par['logl'] = self.logls[idx] par['layer'] = idx par['temp'] = 1. / self.betas[idx] par['switch'] = is_switched[idx] par['round'] = t par['traj_id'] = self.traj_id[idx] # add the changes to the temporary history self.temp_hist.append(par) def save_search_history(self, t): ''' Utility function to empty the temporary history list and save the search results into the '.csv' file. It takes as argument the iteration round t, which is used to add a signature to the save-file. If a prior version of the save-file is present then it is removed. ''' # append temporary history to full history database self.hist_df = self.hist_df.append(self.temp_hist, ignore_index=True) # empty temporary history self.temp_hist = [] # find the old save file if present in the folder files = os.listdir(self.save_folder) files = [f for f in files if f.endswith('search_history.csv')] old_filename = None if len(files) > 0: if len(files) == 1: old_filename = files[0] else: print('WARNING: multiple search_history files in folder.\n' + 'as a precaution not erasing previous history when' + ' saving the new.') # save current history current_filename = f't_{t}_search_history.csv' self.hist_df.to_csv(os.path.join(self.save_folder, current_filename)) # remove previous save file if present if old_filename is not None: print(f'Removing old save file: {old_filename}') os.remove(os.path.join(self.save_folder, old_filename)) def vary_pars(self): ''' Utility function that from the values of the parameter set in every layer generates and returns a mutatated version of the parameters. Mutations is introduced in the form of a small parameter variation, whose intensity depends on the mutation strength of the layers, and wether a single or multiple mutation is allowed. ''' # returns a list of parameters generated from the previous ones with # a small variation new_pars = [] for n, par in enumerate(self.pars): new_par = generate_variated_par(par, keys_to_mut=self.pars_to_mutate, mut_str=self.mut_str[n], mut_sing=self.mut_sing[n]) new_pars.append(new_par) return np.array(new_pars)
# -*- coding: utf-8 -*- # @Time : 2022 # @Author : Yong Zheng r""" NeuCMFw0 ################################################ References ----- Yong Zheng, Gonzalo Florez Arias. "A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations", ACM UMAP, 2022 Notes ----- 1). NeuCMFw0 has 4 towers: MLP tower without contexts, MF tower with UI, MF with UC, MF with IC 2). w => we consider context situation as a whole/single dimension and create embedding for it, when we fuse them into the MF towers """ import torch import torch.nn as nn from torch.nn.init import normal_ from deepcarskit.model.context_recommender import ContextRecommender from recbole.model.layers import MLPLayers from recbole.utils import InputType, EvaluatorType class NeuCMFw0(ContextRecommender): input_type = InputType.POINTWISE def __init__(self, config, dataset): super(NeuCMFw0, self).__init__(config, dataset) # load parameters info self.mf_embedding_size = config['mf_embedding_size'] self.mlp_embedding_size = config['mlp_embedding_size'] self.mlp_hidden_size = config['mlp_hidden_size'] self.dropout_prob = config['dropout_prob'] self.mf_train = config['mf_train'] self.mlp_train = config['mlp_train'] self.use_pretrain = config['use_pretrain'] self.mf_pretrain_path = config['mf_pretrain_path'] self.mlp_pretrain_path = config['mlp_pretrain_path'] # define layers and loss self.user_mf_embedding = nn.Embedding(self.n_users, self.mf_embedding_size) self.item_mf_embedding = nn.Embedding(self.n_items, self.mf_embedding_size) self.context_situation_mf_embedding = nn.Embedding(self.n_context_situation, self.mf_embedding_size) self.user_mlp_embedding = nn.Embedding(self.n_users, self.mlp_embedding_size) self.item_mlp_embedding = nn.Embedding(self.n_items, self.mlp_embedding_size) self.context_situation_mlp_embedding = nn.Embedding(self.n_context_situation, self.mlp_embedding_size) # mlp layers = user, item self.mlp_layers = MLPLayers([2 * self.mlp_embedding_size] + self.mlp_hidden_size, self.dropout_prob) self.mlp_layers.logger = None # remove logger to use torch.save() if self.mf_train and self.mlp_train: self.predict_layer = nn.Linear(3 * self.mf_embedding_size + self.mlp_hidden_size[-1], 1) elif self.mf_train: self.predict_layer = nn.Linear(3 * self.mf_embedding_size, 1) elif self.mlp_train: self.predict_layer = nn.Linear(self.mlp_hidden_size[-1], 1) # parameters initialization if self.use_pretrain: self.load_pretrain() else: self.apply(self._init_weights) def _init_weights(self, module): if isinstance(module, nn.Embedding): normal_(module.weight.data, mean=0.0, std=0.01) def forward(self, user, item, context_situation): user_mf_e = self.user_mf_embedding(user) item_mf_e = self.item_mf_embedding(item) context_situation_mf_e = self.context_situation_mf_embedding(context_situation) user_mlp_e = self.user_mlp_embedding(user) item_mlp_e = self.item_mlp_embedding(item) if self.mf_train: mf_ui_output = torch.mul(user_mf_e, item_mf_e) # [batch_size, embedding_size] mf_uc_output = torch.mul(user_mf_e, context_situation_mf_e) # [batch_size, embedding_size] mf_ic_output = torch.mul(item_mf_e, context_situation_mf_e) # [batch_size, embedding_size] if self.mlp_train: mlp_output = self.mlp_layers(torch.cat((user_mlp_e, item_mlp_e), -1)) # [batch_size, layers[-1]] if self.mf_train and self.mlp_train: output = self.actfun(self.predict_layer(torch.cat((mf_ui_output, mf_uc_output, mf_ic_output, mlp_output), -1))) elif self.mf_train: output = self.actfun(self.predict_layer(torch.cat((mf_ui_output, mf_uc_output, mf_ic_output), -1))) elif self.mlp_train: output = self.actfun(self.predict_layer(mlp_output)) else: raise RuntimeError('mf_train and mlp_train can not be False at the same time') return output.squeeze(-1) def calculate_loss(self, interaction): user = interaction[self.USER_ID] item = interaction[self.ITEM_ID] context_situation = interaction[self.CONTEXT_SITUATION_ID] label = interaction[self.LABEL] output = self.forward(user, item, context_situation) return self.loss(output, label) def predict(self, interaction): user = interaction[self.USER_ID] item = interaction[self.ITEM_ID] context_situation = interaction[self.CONTEXT_SITUATION_ID] return self.forward(user, item, context_situation) def dump_parameters(self): r"""A simple implementation of dumping model parameters for pretrain. """ if self.mf_train and not self.mlp_train: save_path = self.mf_pretrain_path torch.save(self, save_path) elif self.mlp_train and not self.mf_train: save_path = self.mlp_pretrain_path torch.save(self, save_path)
import json from datetime import datetime from datetime import timedelta #import fileinput import os import re import io class DataManipulation: def manipulate_timestamp(self, file_path, sourcetype, source): #print('Updating timestamps in attack_data before replaying') if sourcetype == 'aws:cloudtrail': self.manipulate_timestamp_cloudtrail(file_path) if source == 'WinEventLog:System' or source == 'WinEventLog:Security': self.manipulate_timestamp_windows_event_log_raw(file_path) if source == 'exchange': self.manipulate_timestamp_exchange_logs(file_path) def manipulate_timestamp_exchange_logs(self, file_path): path = os.path.join(os.path.dirname(__file__), '../' + file_path) path = path.replace('modules/../','') f = io.open(path, "r", encoding="utf-8") first_line = f.readline() d = json.loads(first_line) latest_event = datetime.strptime(d["CreationTime"],"%Y-%m-%dT%H:%M:%S") now = datetime.now() now = now.strftime("%Y-%m-%dT%H:%M:%S") now = datetime.strptime(now,"%Y-%m-%dT%H:%M:%S") difference = now - latest_event f.close() #Mimic the behavior of fileinput but in a threadsafe way #Rename the file, which fileinput does for inplace. #Note that path will now be the new file original_backup_file = f"{path}.bak" os.rename(path, original_backup_file) with open(original_backup_file, "r") as original_file: with open(path, "w") as new_file: for line in original_file: d = json.loads(line) original_time = datetime.strptime(d["CreationTime"],"%Y-%m-%dT%H:%M:%S") new_time = (difference + original_time) original_time = original_time.strftime("%Y-%m-%dT%H:%M:%S") new_time = new_time.strftime("%Y-%m-%dT%H:%M:%S") #There is no end character appended, no need for end='' new_file.write(line.replace(original_time, new_time)) os.remove(original_backup_file) def manipulate_timestamp_windows_event_log_raw(self, file_path): path = os.path.join(os.path.dirname(__file__), '../' + file_path) path = path.replace('modules/../','') f = io.open(path, "r", encoding="utf-8") self.now = datetime.now() self.now = self.now.strftime("%Y-%m-%dT%H:%M:%S.%fZ") self.now = datetime.strptime(self.now,"%Y-%m-%dT%H:%M:%S.%fZ") # read raw logs regex = r'\d{2}/\d{2}/\d{4} \d{2}:\d{2}:\d{2} [AP]M' data = f.read() lst_matches = re.findall(regex, data) if len(lst_matches) > 0: latest_event = datetime.strptime(lst_matches[-1],"%m/%d/%Y %I:%M:%S %p") self.difference = self.now - latest_event f.close() result = re.sub(regex, self.replacement_function, data) with io.open(path, "w+", encoding='utf8') as f: f.write(result) else: f.close() return def replacement_function(self, match): try: event_time = datetime.strptime(match.group(),"%m/%d/%Y %I:%M:%S %p") new_time = self.difference + event_time return new_time.strftime("%m/%d/%Y %I:%M:%S %p") except Exception as e: self.logger.error("Error in timestamp replacement occured: " + str(e)) return match.group() def manipulate_timestamp_cloudtrail(self, file_path): path = os.path.join(os.path.dirname(__file__), '../' + file_path) path = path.replace('modules/../','') f = io.open(path, "r", encoding="utf-8") try: first_line = f.readline() d = json.loads(first_line) latest_event = datetime.strptime(d["eventTime"],"%Y-%m-%dT%H:%M:%S.%fZ") now = datetime.now() now = now.strftime("%Y-%m-%dT%H:%M:%S.%fZ") now = datetime.strptime(now,"%Y-%m-%dT%H:%M:%S.%fZ") except ValueError: first_line = f.readline() d = json.loads(first_line) latest_event = datetime.strptime(d["eventTime"],"%Y-%m-%dT%H:%M:%SZ") now = datetime.now() now = now.strftime("%Y-%m-%dT%H:%M:%SZ") now = datetime.strptime(now,"%Y-%m-%dT%H:%M:%SZ") difference = now - latest_event f.close() #Mimic the behavior of fileinput but in a threadsafe way #Rename the file, which fileinput does for inplace. #Note that path will now be the new file original_backup_file = f"{path}.bak" os.rename(path, original_backup_file) with open(original_backup_file, "r") as original_file: with open(path, "w") as new_file: for line in original_file: try: d = json.loads(line) original_time = datetime.strptime(d["eventTime"],"%Y-%m-%dT%H:%M:%S.%fZ") new_time = (difference + original_time) original_time = original_time.strftime("%Y-%m-%dT%H:%M:%S.%fZ") new_time = new_time.strftime("%Y-%m-%dT%H:%M:%S.%fZ") new_file.write(line.replace(original_time, new_time)) except ValueError: d = json.loads(line) original_time = datetime.strptime(d["eventTime"],"%Y-%m-%dT%H:%M:%SZ") new_time = (difference + original_time) original_time = original_time.strftime("%Y-%m-%dT%H:%M:%SZ") new_time = new_time.strftime("%Y-%m-%dT%H:%M:%SZ") new_file.write(line.replace(original_time, new_time)) os.remove(original_backup_file)
import collections class StreamHelper: """ Staticly available class with a bunch of useful variables. streamer: The name of the streamer in full lowercase streamer_id: The Twitch user ID of the streamer (a string) stream_id: The ID of the current stream. False if the stream is not live """ streamer = "Unknown" streamer_id = "Unknown" stream_manager = None social_keys_unsorted = { "twitter": {"format": "https://twitter.com/{}", "title": "Twitter"}, "github": {"format": "https://github.com/{}", "title": "Github"}, "youtube": {"format": "{}", "title": "YouTube"}, "instagram": {"format": "https://www.instagram.com/{}/", "title": "Instagram"}, "reddit": {"format": "https://www.reddit.com/r/{}/", "title": "Reddit"}, "steam": {"format": "{}", "title": "Steam"}, "facebook": {"format": "{}", "title": "Facebook"}, "discord": {"format": "https://discord.gg/{}", "title": "Discord"}, "star": {"format": "{}", "title": "Website"}, "patreon": {"format": "https://www.patreon.com/{}", "title": "Patreon"}, "snapchat": {"format": "https://snapchat.com/add/{}", "title": "Snapchat"}, } social_keys = collections.OrderedDict(sorted(social_keys_unsorted.items(), key=lambda t: t[0])) valid_social_keys = set(social_keys.keys()) @staticmethod def init_stream_manager(stream_manager): StreamHelper.stream_manager = stream_manager @staticmethod def init_streamer(streamer, streamer_id): StreamHelper.streamer = streamer StreamHelper.streamer_id = streamer_id @staticmethod def get_streamer(): return StreamHelper.streamer @staticmethod def get_streamer_id(): return StreamHelper.streamer_id @staticmethod def get_current_stream_id(): """ Gets the stream ID of the current stream. Returns None if the stream manager has not been initialized. Returns False if there is no stream online. Returns the current streams ID (integer) otherwise. """ if StreamHelper.stream_manager is None: # Stream manager not initialized, web interface? return None if StreamHelper.stream_manager.current_stream is None: # Stream is offline return False return StreamHelper.stream_manager.current_stream.id @staticmethod def get_last_stream_id(): """ Gets the stream ID of the last stream. Returns None if the stream manager has not been initialized. Returns False if there is no stream online. Returns the current streams ID (integer) otherwise. """ if StreamHelper.stream_manager is None: # Stream manager not initialized, web interface? return None if StreamHelper.stream_manager.last_stream is None: # Stream is offline return False return StreamHelper.stream_manager.last_stream.id @staticmethod def get_viewers(): """ Returns how many viewers are currently watching the stream. Returns 0 if something fails """ if StreamHelper.stream_manager is None: # Stream manager not initialized, web interface? return 0 if StreamHelper.stream_manager.current_stream is None: # Stream is offline return 0 return StreamHelper.stream_manager.num_viewers
import datetime as DT import numpy as NP import matplotlib.pyplot as PLT import matplotlib.colors as PLTC import scipy.constants as FCNST from astropy.io import fits from astropy.io import ascii from astropy.table import Table import progressbar as PGB import antenna_array as AA import data_interface as DI import geometry as GEOM import sim_observe as SIM import my_DSP_modules as DSP from pycallgraph import PyCallGraph, Config, GlobbingFilter from pycallgraph.output import GraphvizOutput import ipdb as PDB infile = '/data3/t_nithyanandan/project_MOFF/data/samples/lwa_data.CDF.fits' du = DI.DataHandler(indata=infile) max_n_timestamps = 4 config = Config(max_depth=5, groups=True) graphviz = GraphvizOutput(output_file='/data3/t_nithyanandan/project_MOFF/data/samples/figures/profile_graph_{0:0d}_iterations.png'.format(max_n_timestamps)) config.trace_filter = GlobbingFilter(include=['antenna_array.*']) # exclude=['progressbar.*', 'numpy.*', 'warnings.*', 'matplotlib.*', 'scipy.*', 'weakref.*', 'threading.*', 'six.*', 'Queue.*', 'wx.*', 'abc.*', 'posixpath.*', '_weakref*', 'astropy.*', 'linecache.*', 'multiprocessing.*', 'my_*', 'geometry.*'], lat = du.latitude f0 = du.center_freq nts = du.nchan nchan = nts * 2 fs = du.sample_rate dt = 1/fs freqs = du.freq channel_width = du.freq_resolution f_center = f0 bchan = 100 echan = 925 max_antenna_radius = 75.0 # in meters # max_antenna_radius = 75.0 # in meters antid = du.antid antpos = du.antpos n_antennas = du.n_antennas timestamps = du.timestamps n_timestamps = du.n_timestamps npol = du.npol ant_data = du.data core_ind = NP.logical_and((NP.abs(antpos[:,0]) < max_antenna_radius), (NP.abs(antpos[:,1]) < max_antenna_radius)) # core_ind = NP.logical_and((NP.abs(antpos[:,0]) <= NP.max(NP.abs(antpos[:,0]))), (NP.abs(antpos[:,1]) < NP.max(NP.abs(antpos[:,1])))) antid = antid[core_ind] antpos = antpos[core_ind,:] ant_info = NP.hstack((antid.reshape(-1,1), antpos)) n_antennas = ant_info.shape[0] ant_data = ant_data[:,core_ind,:,:] with PyCallGraph(output=graphviz, config=config): ants = [] aar = AA.AntennaArray() for i in xrange(n_antennas): ant = AA.Antenna('{0:0d}'.format(int(ant_info[i,0])), lat, ant_info[i,1:], f0, nsamples=nts) ant.f = ant.f0 + DSP.spectax(2*nts, dt, shift=True) ants += [ant] aar = aar + ant aar.grid() antpos_info = aar.antenna_positions(sort=True) if max_n_timestamps is None: max_n_timestamps = len(timestamps) else: max_n_timestamps = min(max_n_timestamps, len(timestamps)) timestamps = timestamps[:max_n_timestamps] stand_cable_delays = NP.loadtxt('/data3/t_nithyanandan/project_MOFF/data/samples/cable_delays.txt', skiprows=1) antennas = stand_cable_delays[:,0].astype(NP.int).astype(str) cable_delays = stand_cable_delays[:,1] for it in xrange(max_n_timestamps): timestamp = timestamps[it] update_info = {} update_info['antennas'] = [] update_info['antenna_array'] = {} update_info['antenna_array']['timestamp'] = timestamp print 'Consolidating Antenna updates...' progress = PGB.ProgressBar(widgets=[PGB.Percentage(), PGB.Bar(marker='-', left=' |', right='| '), PGB.Counter(), '/{0:0d} Antennas '.format(n_antennas), PGB.ETA()], maxval=n_antennas).start() antnum = 0 for ia, label in enumerate(antid): adict = {} adict['label'] = label adict['action'] = 'modify' adict['timestamp'] = timestamp adict['t'] = NP.arange(nts) * dt adict['gridfunc_freq'] = 'scale' adict['gridmethod'] = 'NN' adict['distNN'] = 0.5 * FCNST.c / f0 adict['tol'] = 1.0e-6 adict['maxmatch'] = 1 adict['Et'] = {} adict['flags'] = {} adict['stack'] = True adict['wtsinfo'] = {} adict['delaydict'] = {} for ip in range(npol): adict['delaydict']['P{0}'.format(ip+1)] = {} adict['delaydict']['P{0}'.format(ip+1)]['frequencies'] = freqs adict['delaydict']['P{0}'.format(ip+1)]['delays'] = cable_delays[antennas == label] adict['delaydict']['P{0}'.format(ip+1)]['fftshifted'] = True adict['wtsinfo']['P{0}'.format(ip+1)] = [{'orientation':0.0, 'lookup':'/data3/t_nithyanandan/project_MOFF/simulated/LWA/data/lookup/E_illumination_isotropic_radiators_lookup_zenith.txt'}] adict['Et']['P{0}'.format(ip+1)] = ant_data[it,ia,:,ip] if NP.any(NP.isnan(adict['Et']['P{0}'.format(ip+1)])): adict['flags']['P{0}'.format(ip+1)] = True else: adict['flags']['P{0}'.format(ip+1)] = False update_info['antennas'] += [adict] progress.update(antnum+1) antnum += 1 progress.finish() aar.update(update_info, parallel=True, verbose=True) aar.grid_convolve(pol='P1', method='NN', distNN=0.5*FCNST.c/f0, tol=1.0e-6, maxmatch=1, identical_antennas=True, cal_loop=False, gridfunc_freq='scale', mapping='weighted', wts_change=False, parallel=True, pp_method='pool') # fp1 = [ad['flags']['P1'] for ad in update_info['antennas']] # p1f = [a.antpol.flag['P1'] for a in aar.antennas.itervalues()] imgobj = AA.NewImage(antenna_array=aar, pol='P1') imgobj.imagr(weighting='natural', pol='P1') img = imgobj.img['P1'] # for chan in xrange(imgobj.holograph_P1.shape[2]): # imval = NP.abs(imgobj.holograph_P1[imgobj.mf_P1.shape[0]/2,:,chan])**2 # a horizontal slice # imval = imval[NP.logical_not(NP.isnan(imval))] # immax2[it,chan,:] = NP.sort(imval)[-2:] if it == 0: avg_img = NP.copy(img) else: avg_img += NP.copy(img) if NP.any(NP.isnan(avg_img)): PDB.set_trace() avg_img /= max_n_timestamps beam = imgobj.beam['P1'] fig = PLT.figure() ax = fig.add_subplot(111) imgplot = ax.imshow(NP.mean(avg_img[:,:,bchan:echan+1], axis=2), aspect='equal', origin='lower', extent=(imgobj.gridl.min(), imgobj.gridl.max(), imgobj.gridm.min(), imgobj.gridm.max())) ax.set_xlim(imgobj.gridl.min(), imgobj.gridl.max()) ax.set_ylim(imgobj.gridm.min(), imgobj.gridm.max()) PLT.savefig('/data3/t_nithyanandan/project_MOFF/data/samples/figures/MOFF_image_{0:0d}_iterations.png'.format(max_n_timestamps), bbox_inches=0) fig = PLT.figure() ax = fig.add_subplot(111) imgplot = ax.imshow(NP.mean(beam[:,:,bchan:echan+1], axis=2), aspect='equal', origin='lower', extent=(imgobj.gridl.min(), imgobj.gridl.max(), imgobj.gridm.min(), imgobj.gridm.max())) ax.set_xlim(imgobj.gridl.min(), imgobj.gridl.max()) ax.set_ylim(imgobj.gridm.min(), imgobj.gridm.max()) PLT.savefig('/data3/t_nithyanandan/project_MOFF/data/samples/figures/MOFF_psf_square_illumination.png'.format(max_n_timestamps), bbox_inches=0)
""" Get the polyinterface objects we need. Currently Polyglot Cloud uses a different Python module which doesn't have the new LOG_HANDLER functionality """ from udi_interface import Custom,Node,LOG_HANDLER,LOGGER import logging # My Template Node from nodes import TemplateNode # IF you want a different log format than the current default LOG_HANDLER.set_log_format('%(asctime)s %(threadName)-10s %(name)-18s %(levelname)-8s %(module)s:%(funcName)s: %(message)s') class TemplateController(Node): """ The Node class represents a node on the ISY. The first node started and that is is used to for interaction with the node server is typically called a 'Controller' node. If this node has the address 'controller', Polyglot will automatically populate the 'ST' driver of this node with the node server's on-line/off-line status. This node will also typically handle discovery & creation of other nodes and deal with the user configurable options of the node server. Class Variables: self.name: String name of the node self.address: String Address of Node, must be less than 14 characters (ISY limitation) self.primary: String Address of Node's parent, must be less than 14 characters (ISY limitation) self.poly: Interface class object. Provides access to the interface API. Class Methods query(): Queries and reports ALL drivers for ALL nodes to the ISY. getDriver('ST'): gets the current value from Polyglot for driver 'ST' returns a STRING, cast as needed setDriver('ST', value, report, force, uom): Updates the driver with the value (and possibly a new UOM) reportDriver('ST', force): Send the driver value to the ISY, normally it will only send if the value has changed, force will always send reportDrivers(): Send all driver values to the ISY status() delNode(): Delete the node from the ISY and Polyglot database """ def __init__(self, polyglot, primary, address, name): """ Optional. Super runs all the parent class necessities. You do NOT have to override the __init__ method, but if you do, you MUST call super. """ super(TemplateController, self).__init__(polyglot, primary, address, name) self.poly = polyglot self.name = 'Template Controller' self.hb = 0 # Create data storage classes to hold specific data that we need # to interact with. self.Parameters = Custom(polyglot, 'customparams') self.Notices = Custom(polyglot, 'notices') self.TypedParameters = Custom(polyglot, 'customtypedparams') self.poly.onConfig(self.configHandler) # register to get config data sent by Polyglot self.poly.onCustomParams(self.parameterHandler) # register to get parameter info sent by Polyglot self.poly.onCustomTypedParams(self.typedParameterHandler) # register to get typed parameter info sent by Polyglot self.poly.onStart(address, self.start) # register a function to run when the node is added self.poly.onPoll(self.poll) # register to get short and long poll events # Tell the interface we exist. self.poly.addNode(self) def start(self): """ Optional. Polyglot v3 Interface startup done. Here is where you start your integration. This is called via the onStart callback configured above, once the node has been added to the interface. In this example we call various methods that deal with initializing the node server. This is where you should start. No need to Super this method, the parent version does nothing. """ self.check_params() # Send the profile files to the ISY if neccessary. The profile version # number will be checked and compared. If it has changed since the last # start, the new files will be sent. self.poly.updateProfile() # Send the default custom parameters documentation file to Polyglot # for display in the dashboard. self.poly.setCustomParamsDoc() self.heartbeat(0) self.discover() # Here you may want to send updated values to the ISY rather # than wait for a poll interval. The user will get more # immediate feedback that the node server is running """ Called via the onConfig event. When the interface receives a configuration structure from Polyglot, it will send that config to your node server via this callback. The config structure does contain the list of nodes & last driver values stored in the database. These can be accessed here to update your node server with the previous state. """ def configHandler(self, config): pass """ Called via the onCustomParams event. When the user enters or updates Custom Parameters via the dashboard. The full list of parameters will be sent to your node server via this callback. Here we're loading them into our local storage so that we may use them as needed. New or changed parameters are marked so that you may trigger other actions when the user changes or adds a parameter. """ def parameterHandler(self, params): self.Parameters.load(params) """ Called via the onCustomParams event. When the user enters or updates Custom Parameters via the dashboard. The full list of parameters will be sent to your node server via this callback. Here we're loading them into our local storage so that we may use them as needed. """ def typedParameterHandler(self, params): self.TypedParameters.load(params) """ Called via the onPoll event. The onPoll event is triggerd at the intervals specified in the node server configuration. There are two separate poll events, a long poll and a short poll. Which one is indicated by the flag. flag==True indicates a long poll event. Use this if you want your node server to do something at fixed intervals. """ def poll(self, flag): if flag: LOGGER.debug('longPoll (controller)') self.heartbeat() else: LOGGER.debug('shortPoll (controller)') def query(self,command=None): """ Optional. By default a query to the control node reports the FULL driver set for ALL nodes back to ISY. If you override this method you will need to Super or issue a reportDrivers() to each node manually. """ self.check_params() nodes = self.poly.getNodes() for node in nodes: nodes[node].reportDrivers() def discover(self, *args, **kwargs): """ Example Do discovery here. Does not have to be called discovery. Called from example controller start method and from DISCOVER command recieved from ISY as an exmaple. """ self.poly.addNode(TemplateNode(self.poly, self.address, 'templateaddr', 'Template Node Name')) def delete(self): """ Example This is sent by Polyglot upon deletion of the NodeServer. If the process is co-resident and controlled by Polyglot, it will be terminiated within 5 seconds of receiving this message. """ LOGGER.info('Oh God I\'m being deleted. Nooooooooooooooooooooooooooooooooooooooooo.') def stop(self): LOGGER.debug('NodeServer stopped.') def heartbeat(self,init=False): LOGGER.debug('heartbeat: init={}'.format(init)) if init is not False: self.hb = init LOGGER.debug('heartbeat: hb={}'.format(self.hb)) if self.hb == 0: self.reportCmd("DON",2) self.hb = 1 else: self.reportCmd("DOF",2) self.hb = 0 def set_module_logs(self,level): logging.getLogger('urllib3').setLevel(level) def check_params(self): """ This is an example if using custom Params for user and password and an example with a Dictionary """ self.Notices.clear() self.Notices['hello'] = 'Hey there, my IP is {}'.format(self.poly.network_interface['addr']) self.Notices['hello2'] = 'Hello Friends!' default_user = "YourUserName" default_password = "YourPassword" #self.user = self.getCustomParam('user') self.user = self.Parameters.user if self.user is None: self.user = default_user LOGGER.error('check_params: user not defined in customParams, please add it. Using {}'.format(self.user)) #self.addCustomParam({'user': self.user}) self.Parameters.user = self.user #self.password = self.getCustomParam('password') self.password = self.Parameters.password if self.password is None: self.password = default_password LOGGER.error('check_params: password not defined in customParams, please add it. Using {}'.format(self.password)) #self.addCustomParam({'password': self.password}) self.Parameters.password = self.password # Always overwrite this, it's just an example... self.Parameters.type = "TheType" self.Parameters.host = "host_or_IP" self.Parameters.port = "port_number" # Add a notice if they need to change the user/password from the default. if self.user == default_user or self.password == default_password: self.Notices['auth'] = 'Please set proper user and password in configuration page' self.Notices['test'] = 'This is only a test' # Typed Parameters allow for more complex parameter entries. #self.poly.save_typed_params( self.TypedParameters.load( [ { 'name': 'item', 'title': 'Item', 'desc': 'Description of Item', 'isList': False, 'params': [ { 'name': 'id', 'title': 'The Item ID', 'isRequired': True, }, { 'name': 'title', 'title': 'The Item Title', 'defaultValue': 'The Default Title', 'isRequired': True, }, { 'name': 'extra', 'title': 'The Item Extra Info', 'isRequired': False, } ] }, { 'name': 'itemlist', 'title': 'Item List', 'desc': 'Description of Item List', 'isList': True, 'params': [ { 'name': 'id', 'title': 'The Item ID', 'isRequired': True, }, { 'name': 'title', 'title': 'The Item Title', 'defaultValue': 'The Default Title', 'isRequired': True, }, { 'name': 'names', 'title': 'The Item Names', 'isRequired': False, 'isList': True, 'defaultValue': ['somename'] }, { 'name': 'extra', 'title': 'The Item Extra Info', 'isRequired': False, 'isList': True, } ] }, ], True) def remove_notice_test(self,command): LOGGER.info('remove_notice_test: notices={}'.format(self.Notices)) # Remove all existing notices self.Notices.delete('test') #self.removeNotice('test') def remove_notices_all(self,command): LOGGER.info('remove_notices_all: notices={}'.format(self.Notices)) # Remove all existing notices self.Notices.clear() """ Optional. Since the controller is a node in ISY, it will actual show up as a node. So it needs to know the drivers and what id it will use. The controller should report the node server status and have any commands that are needed to control operation of the node server. Typically, node servers will use the 'ST' driver to report the node server status and it a best pactice to do this unless you have a very good reason not to. The id must match the nodeDef id="controller" in the nodedefs.xml """ id = 'controller' commands = { 'QUERY': query, 'DISCOVER': discover, 'REMOVE_NOTICES_ALL': remove_notices_all, 'REMOVE_NOTICE_TEST': remove_notice_test, } drivers = [ {'driver': 'ST', 'value': 1, 'uom': 2}, ]
# Modified by Yulun Nie 11/25/2021 for version 0.1 #makes straight line import numpy as np import cv2 def get_points(img): # Set up points to return data = {} data['img'] = img.copy() data['lines'] = [] # Set the callback function for any mouse event # print(img) cv2.imshow("Image", img) cv2.setMouseCallback("Image", mouse_handler, data) cv2.waitKey(0) cv2.destroyAllWindows() # aggregate lines data ys = data['lines'] assert len(ys) == 2 _, width, _ = img.shape line1 = ((0, ys[0]), (width, ys[0])) line2 = ((0, ys[1]), (width, ys[1])) # line = (start_point, end_point), point = (x, y) return (line1, line2) def mouse_handler(event, x, y, flags, data): # if mouse left is pressed if event == cv2.EVENT_LBUTTONDOWN: img = data['img'].copy() # modify lines list data['lines'].append(y) if len(data['lines']) > 2: data['lines'].pop(0) # display current lines _, width, _ = img.shape for i in data['lines']: cv2.line(img, (0, i), (width, i), (0,0,255), 2) cv2.imshow("Image", img) # # Running the code # img = cv2.imread('test.png', 1) # # get lines y's # line1, line2 = get_points(img) # print(line1, line2) # # draw lines # final_img = cv2.line(img, line1[0], line1[1], (0,0,0), 1) # final_img = cv2.line(final_img, line2[0], line2[1], (0,0,0), 1) # cv2.imshow('Image', final_img) # cv2.waitKey(0)
from os import environ, path environ['PYART_QUIET'] = '' conf_path = path.join(path.dirname(path.realpath(__file__)), 'pyart_config.py') environ['PYART_CONFIG'] = conf_path #conf = config.load_config(conf_path)
import argparse as argp SAVE_LIST_FILENAME = 'Lottery649_History.bin' SAVE_LIST_FILENAME_2 = 'SuperLotto638_History.bin' LOTTERY_NUM = 7 LOTTERY_HEIGHT = 64 EMBEDDED_CH = 64 LOTTERY_1_MAX_NUM = 49 LOTTERY_2_MAX_NUM = 38 # 0 ~ 6 TRAIN_NUM_INDEX = 0 CHECKPOINT_FILENAME = 'checkpoint{0}.ckpt'.format(TRAIN_NUM_INDEX) CHECKPOINT_FILENAME2 = 'checkpoint_2_{0}.ckpt'.format(TRAIN_NUM_INDEX) def ARGS(): _parser_ = argp.ArgumentParser() _parser_.add_argument('--ReFetchLog', dest="ReFetchLog", default=False, type=bool, help='Refetch Log from website') return _parser_.parse_args()
def resolve(): ''' code here ''' N, K = [int(item) for item in input().split()] xs = [int(item) for item in input().split()] min_lr = 10**9 min_rl = 10**9 if N != K: for i in range(N-K+1): min_lr = min(min_lr, abs(xs[i]) + abs(xs[i+K-1] - xs[i])) min_rl = min(min_rl, abs(xs[i+K-1]) + abs(xs[i+K-1] - xs[i])) print(min(min_lr, min_rl)) elif N ==1: print(abs(xs[0])) else: print(min(abs(xs[0]) + abs(xs[N-1] - xs[0]), abs(xs[N-1]) + abs(xs[N-1] - xs[0]))) if __name__ == "__main__": resolve()
from app.models import yandex_translate, converter, opensubtitles, registration, learning_mode def register(email, username, hashed_password): return registration.register_user(email, username, hashed_password) class Controller(object): def __init__(self, yandex_translate_api_key): self._opensubtitles_mdl = opensubtitles.OpenSubtitlesModel() self._yandextranslate_mdl = yandex_translate.YandexTranslateModel(yandex_translate_api_key) def search_by_name_get_first_n(self, name, n=10): return self._opensubtitles_mdl.search_by_name_get_first_n(name, n) def get_learning_mode_data(self, idsubtitlefile, username): path_to_subtitle_file = self._opensubtitles_mdl.download_by_file_id(idsubtitlefile) converter_mdl = converter.Converter(path_to_subtitle_file) words = converter_mdl.to_list() translated_words = self._yandextranslate_mdl.translate_words_en_ru(words) return learning_mode.build_learning_mode_data(words, translated_words, username)
import json import os import boto3 from slack import WebClient from slack.errors import SlackApiError from data_access.dataRepos import MafiaSerializer, GameStateRepo from stateManagers.gameStateManager import Actions from models.player import Roles from models.gameState import States as GameStates from util.env import getEnvVar from util.constants import Header from util.game_message_builder import ( get_state_change_message, get_blocks_for_message) from util.messagetext import MessageText as txt def getToken(id): dynamodb = boto3.resource('dynamodb') tokenStore = dynamodb.Table(getEnvVar('TOKEN_SOURCE')) result = tokenStore.get_item(Key={'_id': id}) print(f'Getting token for {id}') if 'Item' in result: return result['Item']['token'] def processRecords(record_list): serializer = MafiaSerializer() for r in record_list: try: body = json.loads(r['body']) state = serializer.DeserializeGame(body['state']) token = getToken(state.id) client = WebClient(token=token) action = body['action'] sourcePlayer = body['source'] targetPlayer = body['target'] mainChannel = state.meta['channel_id'] message, header = get_state_change_message( state, True, action, sourcePlayer, targetPlayer) blocks = get_blocks_for_message(message, header) client.chat_postMessage(channel=mainChannel, blocks=blocks) if action == Actions.START_GAME: # create a private channel for the mafia mafiaMembers = ','.join( [p.id for p in state.players if p.role == Roles.MAFIA]) mafiaChannelName = 'mafia-secrets' response = client.conversations_list(types='private_channel') mafiaChannels = [c for c in response['channels'] if c['name'] == mafiaChannelName] if len(mafiaChannels) > 0: print('Unarchiving mafia channel') channelId = mafiaChannels[0]['id'] response = client.conversations_unarchive( channel=channelId) else: print('Creating mafia channel') response = client.conversations_create( name=mafiaChannelName, is_private=True) print(response) channelId = response['channel']['id'] print(f'Inviting {mafiaMembers} to mafia channel') client.conversations_invite( channel=channelId, users=mafiaMembers) message = txt.MAFIA_TEAM_INTRO header = Header.MAFIA_ONLY blocks = get_blocks_for_message(message, header) client.chat_postMessage(channel=channelId, blocks=blocks) # store the mafia channel state.meta['mafia_channel'] = channelId repo = GameStateRepo() repo.UpdateGame(state) elif state.state == GameStates.GAME_OVER: # clean up the mafia channel and archive it mafia_channel = state.meta['mafia_channel'] for player_id in [ p.id for p in state.players if p.role == Roles.MAFIA]: print(f'kicking {player_id} from mafia channel') client.conversations_kick( channel=mafia_channel, user=player_id) print(f'archiving channel {mafia_channel}') client.conversations_archive(channel=mafia_channel) except SlackApiError as e: print(e) def lambda_handler(event, context): print(f"Received event:\n{json.dumps(event)}\nWith context:\n{context}") processRecords(event['Records']) response = { 'statusCode': 200, 'headers': {}, 'body': {} } return response
class Flow: def __init__(self, flow): self.flow = flow def isNextInFlow(self, next, currentName): current = self._getCurrent(currentName) if (current is None): return False return next in current['next'] def getRestOfFlow(self, currentName): current = self._getCurrent(currentName) if (current is None): return [] flowcopy = self.flow[:] flowcopy.remove(current) return flowcopy def _getCurrent(self, currentName): for node in self.flow: if node['source'] == currentName: current = node return current return None
#-*- encoding:utf-8 -*- import sys import hashlib from hashlib import sha1 import hmac import base64 from socket import * import json, time, threading from websocket import create_connection import websocket from urllib import quote import logging reload(sys) sys.setdefaultencoding("utf8") logging.basicConfig() base_url = "ws://rtasr.xfyun.cn/v1/ws" app_id = "5be0fbcb" api_key = "9502d486f048d76978099f0646fe4f52" file_path = "./test_1.pcm" file_path = '/Users/higgs/tmpxxx/718895a9-31b3-4e0d-85fb-cad14bbad0d6.wav' file_path = 'all.wav' # file_path = '/Users/higgs/beast/data/audio/兔司机与候选人首次沟通录音/0f73049d-c131-4b83-b7f0-c73a34eea77c.wav' file_path = '1.wav' # file_path = 'aa826fc3-36c0-4c11-bd62-395f767ace61.wav' end_tag = "{\"end\": true}" def parse_rt_json(s_json): ''' :param s_json: string :return: ''' # res_dict = json.loads(s_json) res_dict = s_json action = res_dict["action"] if action == 'result': data = res_dict['data'] data_dict = json.loads(data) rt_list = data_dict['cn']['st']['rt'] if int(data_dict['cn']['st']['type']) == 0: for rt in rt_list: ws_list = rt['ws'] sent = '' for ws in ws_list: sent += ws['cw'][0]['w'] print(sent) class Client(): def __init__(self): # 生成鉴权参数 ts = str(int (time.time())) tmp = app_id + ts hl = hashlib.md5() hl.update(tmp.encode(encoding='utf-8')) my_sign = hmac.new(api_key, hl.hexdigest(), sha1).digest() signa = base64.b64encode(my_sign) self.ws = create_connection(base_url + "?appid=" + app_id + "&ts=" + ts + "&signa=" + quote(signa)) self.trecv = threading.Thread(target=self.recv) self.trecv.start() def send(self, file_path): file_object = open(file_path, 'rb') try: index = 1 while True: chunk = file_object.read(1280) if not chunk: break self.ws.send(chunk) index += 1 time.sleep(0.04) finally: # print str(index) + ", read len:" + str(len(chunk)) + ", file tell:" + str(file_object.tell()) file_object.close() self.ws.send(bytes(end_tag)) print "send end tag success" def recv(self): try: while self.ws.connected: result = str(self.ws.recv()) if len(result) == 0: print "receive result end" break result_dict = json.loads(result) # 解析结果 if result_dict["action"] == "started": print "handshake success, result: " + result if result_dict["action"] == "result": parse_rt_json(result_dict) print "rtasr result: " + result if result_dict["action"] == "error": print "rtasr error: " + result self.ws.close() return except websocket.WebSocketConnectionClosedException: print "receive result end" def close(self): self.ws.close() print "connection closed" if __name__ == '__main__': client = Client() client.send(file_path)
import unittest import sys from PyQt5.QtWidgets import QApplication from PyQt5.QtTest import QTest from PyQt5 import Qt from PyQt5.QtCore import QSize from unittest import TestCase import main app = QApplication(sys.argv) class MemoryTest(unittest.TestCase): """Tests the memory scanner""" def setUp(self): """Create The Gui""" self.form = main.MainWindow() self.form.log.setLevel("NOTSET") self.results = self.form.specs.memory.test() def test_total(self): """Tests that total memory is not None""" self.assertNotEqual(self.results.total, None, "total should not be None") def test_available(self): """Tests that available memory is not None""" self.assertNotEqual(self.results.available, None, "available should not be None") def test_used(self): """Tests that used memory is not None""" self.assertNotEqual(self.results.used, None, "used should not be None") def test_percentage(self): """Tests that percentage memory is not None""" self.assertNotEqual(self.results.percentage, None, "percentage should not be None") if __name__ == "__main__": unittest.main()
from project.user import User class Library: def __init__(self): self.user_records: 'user objects' = [] self.books_available: '{authors: [books]}' = {} self.rented_books: '{usernames: {book names: days left}}' = {} self.days_to_return_book: '{book_name: [days]}' = {} self.user_ids: '{user_id: user}' = {} def add_user(self, user): if user in self.user_records: return f'User with id = {user.user_id} already registered in the library!' self.user_records.append(user) self.user_ids[user.user_id] = user def remove_user(self, user: 'User'): if user not in self.user_records: return 'We could not find such user to remove!' self.user_ids.pop(user.user_id) self.user_records.remove(user) def change_username(self, user_id: int, new_username: str): try: user = self.user_ids.get(user_id) if user.username == new_username: return 'Please check again the provided username - it should be different than the username used so far!' user.username = new_username return f'Username successfully changed to: {user.username} for userid: {user_id}' except AttributeError: return f'There is no user with id = {user_id}!' user = User(12, 'Peter') library = Library() library.add_user(user) print(library.add_user(user)) library.remove_user(user) print(library.remove_user(user)) library.add_user(user) print(library.change_username(2, 'Igor')) print(library.change_username(12, 'Peter')) print(library.change_username(12, 'George')) [print(f'{user_record.user_id}, {user_record.username}, {user_record.books}') for user_record in library.user_records] library.books_available.update({'J.K.Rowling': ['The Chamber of Secrets', 'The Prisoner of Azkaban', 'The Goblet of Fire', 'The Order of the Phoenix', 'The Half-Blood Prince', 'The Deathly Hallows']}) user.get_book('J.K.Rowling', 'The Deathly Hallows', 17, library) print(library.books_available) print(library.rented_books) print(user.books) print(user.get_book('J.K.Rowling', 'The Deathly Hallows', 10, library)) print(user.return_book('J.K.Rowling', 'The Cursed Child', library)) user.return_book('J.K.Rowling', 'The Deathly Hallows', library) print(library.books_available) print(library.rented_books) print(user.books)
from ..api import narrow_buttons, wide_buttons from django import template register = template.Library() @register.simple_tag def wide_social_buttons(request, title, url): return wide_buttons(request, title, url) @register.simple_tag def narrow_social_buttons(request, title, url): return narrow_buttons(request, title, url)
cat_to_num_cluster = {"ladies palazzo": {"1 per set": 4, "1 / unit": 15, "1 per packet": 2}, "hmi touch panel": {"1 unit": 11}, "steam iron": {"1 / unit": 4, "1 pr set": 2}, "copper cables": {"1 unit": 9, "1 / meter": 6, "1 per bundle": 3, "1 / unit": 10}, "wooden crates": {"1 / meter ** 3": 5, "1 / kilogram": 2, "1 / meter": 2, "1 / meter ** 2": 5, "1 / unit": 5 }, "filling machine": { "1 / unit": 5, }, "button hole machine": { "1 / unit": 7, "1 per set": 5, }, "bottle filling machines": { "1 per set": 6, "1 / unit": 8, }, "busbar systems": { "1 / unit": 2, "1 / meter": 1, }, "coffee makers": { "1 / unit": 6, }, "toaster": {"1 / unit": 6}, "belt conveyors": {"1 / meter ** 2": 2, "1 per set": 6, "1 per running feet": 2, "1 / meter": 6, "1 / second / unit": 4, "1 / unit": 10}, "vertical form fill seal machines": { "1 / unit": 6 }, "food processor": { "1 / unit": 3 }, "biometric devices": { "1 / unit": 11, "1 per one": 1 }, "pneumatic impact wrenches": { "1 / unit": 8 }, "polyester thread": { "1 / meter": 2, "1 / kilogram": 6, "1 per roll": 3, "1 / unit": 8, "1 per packet": 4 }, "backhoe loader": { "1 per one": 2, "1 / unit": 8 }, "twisted yarn": { "1 / kilogram": 3 }, "powder filling machine": { "1 per set": 4, "1 / unit": 7 }, "colored contact lenses": { "1 / unit": 2 }, "fleece fabrics": { "1 / meter": 6, "1 / kilogram": 12, }, "pvc cables": { "1 / meter": 6, "1 per roll": 1, "1 / unit": 6, "1 / meter / second": 1 }, "solar fans": { "1 / unit": 9 }, "knitted yarn": { "1 / kilogram": 7 }, "spun yarn": { "1 / kilogram": 4 }, "camera lenses": { "1 / unit": 4 }, "air spray gun": { "1 / unit": 6 }, "hydraulic bending machine": { "1 / unit": 8 }, "granules packing machine": { "1 / unit": 10, "1 per set": 3 }, "solar pump controller": { "1 / unit": 10 }, "wheel loader": { "1 / unit": 10 } }
# Generated by Django 2.1.3 on 2018-11-21 08:16 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Partner', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('partner_code', models.CharField(help_text='Partner Short Code eg. UNDP', max_length=5, verbose_name='Partner Code')), ('partner_name', models.CharField(max_length=150, verbose_name='Partner Name')), ], ), migrations.CreateModel( name='Profile', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('image', models.ImageField(default='default.png', upload_to='profile_pics')), ('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), ]
# Generated by Django 3.0.6 on 2020-05-20 16:45 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('entities', '0001_initial'), ] operations = [ migrations.AddField( model_name='questionset', name='was_send', field=models.BooleanField(default=False), ), migrations.AlterField( model_name='channel', name='receiver', field=models.ManyToManyField(blank=True, to='entities.Receiver'), ), ]
import os import sys sys.path.append( './' ) os.environ["TOKENIZERS_PARALLELISM"] = "false" import numpy as np import argparse import torch import torch.nn as nn from models.Transformers import PairSupConBert from training import PairSupConTrainer from dataloader.dataloader import pair_loader from utils.utils import set_global_random_seed, setup_path from utils.optimizer import get_optimizer, MODEL_CLASS, get_bert_config_tokenizer import subprocess def run(args): args.resPath, args.tensorboard = setup_path(args) set_global_random_seed(args.seed) device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") device_id = torch.cuda.device_count() print("\t {} GPUs available to use!".format(device_id)) # dataloader train_loader = pair_loader(args) config, tokenizer = get_bert_config_tokenizer(args.bert) model = PairSupConBert.from_pretrained(MODEL_CLASS[args.bert]) optimizer = get_optimizer(model, args) model = nn.DataParallel(model) model.to(device) # set up the trainer trainer = PairSupConTrainer(model, tokenizer, optimizer, train_loader, args) trainer.train() return None def get_args(argv): parser = argparse.ArgumentParser() parser.add_argument('--training_instance', type=str, default='local') parser.add_argument('--gpuid', nargs="+", type=int, default=[0], help="The list of gpuid, ex:--gpuid 3 1. Negative value means cpu-only") parser.add_argument('--seed', type=int, default=0, help="") parser.add_argument('--resdir', type=str, default='./results') parser.add_argument('--logging_step', type=int, default=250, help="") parser.add_argument('--dev_set', default="None", help="use sts-b as dev set or not", choices=["None", "sts"]) parser.add_argument('--path_sts_data', type=str, default='', help="use sts-b as dev set") parser.add_argument('--s3_ckptdir', type=str, default='', help="s3path for ckpts") # Dataset parser.add_argument('--datapath', type=str, default='../datasets/NLI/') parser.add_argument('--dataname', type=str, default='nli_pairsupcon.csv', help="") parser.add_argument('--num_classes', type=int, default=2) parser.add_argument('--text', type=str, default='text') parser.add_argument('--pairsimi', type=str, default='pairsimi') # Training parameters parser.add_argument('--max_length', type=int, default=32) parser.add_argument('--batch_size', type=int, default=1024) parser.add_argument('--lr', type=float, default=5e-06, help="") parser.add_argument('--lr_scale', type=int, default=100, help="") parser.add_argument('--epochs', type=int, default=3) parser.add_argument('--max_iter', type=int, default=100000000) # Contrastive learning parser.add_argument('--mode', type=str, default='pairsupcon', help="") parser.add_argument('--bert', type=str, default='bertbase', choices=["bertbase", "bertlarge"], help="") parser.add_argument('--contrast_type', type=str, default="HardNeg") parser.add_argument('--feat_dim', type=int, default=128, help="dimension of the projected features for instance discrimination loss") parser.add_argument('--temperature', type=float, default=0.05, help="temperature required by contrastive loss") parser.add_argument('--beta', type=float, default=1, help=" ") args = parser.parse_args(argv) args.use_gpu = args.gpuid[0] >= 0 args.resPath = None args.tensorboard = None return args if __name__ == '__main__': args = get_args(sys.argv[1:]) if args.training_instance == "sagemaker": # set the input data path if use sts-b as dev set, as ec2 instance cannot read most the data formats included in SentEval # by default, we do not use the sts-b as the dev set for PairSupCon args.path_sts_data = os.environ["SM_CHANNEL_DATA"] print(f"\n path to sts data {args.path_sts_data} \n") run(args) # upload the saved checkpoints to s3 folder subprocess.run(["aws", "s3", "cp", "--recursive", args.resdir, args.s3_ckptdir]) else: run(args)
"""Unit test for parsing.""" import unittest from fractions import Fraction from decimal import Decimal from integral.expr import Var, Const, Op, Fun, trig_identity from integral.parser import parse_expr class ParserTest(unittest.TestCase): def testParseTerm(self): test_data = [ "x", "1", "11/10", "-1", "-11/10", "x + y", "x - y", "-x", "x * y", "x / y", "x ^ y", "x + y * z", "(x + y) * z", "x * y + z", "x * (y + z)", "x * y ^ 2", "(x * y) ^ 2", "sin(x)", "cos(x)", "log(x)", "exp(x)", "D x. 3 * x", "INT x:[1,2]. 3 * x", "[3 * x]_x=1,2", "INT x:[0,pi / 4]. sin(x)", "x ^ (1/2)" ] for s in test_data: e = parse_expr(s) self.assertEqual(str(e), s) def testParseTerm2(self): test_data = [ ("-x", -Var("x")), ("-2", Const(-2)), ("1/2", Const(Fraction(1) / 2)), ("-1/2", Const(Fraction(-1) / 2)), ("0.5", Const(Decimal("0.5"))), ("pi", Fun("pi")), ("-x^2", Op("-", Op("^", Var("x"), Const(2)))) ] for s, e, in test_data: self.assertEqual(parse_expr(s), e) def testParseTerm3(self): test_data = [ ("$sin(x)^2$*sin(x)", Op("*", Op("^",Fun("sin",Var("x")),Const(2)), Fun("sin",Var("x")))), ("x + $x + y$", Op("+", Var("x"), Op("+", Var("x"), Var("y")))), ] for s, e in test_data: self.assertEqual(parse_expr(s), e) self.assertTrue(Op("^",Fun("sin",Var("x")),Const(2)) in trig_identity) if __name__ == "__main__": unittest.main()
""" """ import hashlib import hmac from html.parser import HTMLParser import logging import os from typing import Any, cast, Dict import urllib import urllib.parse from fastapi import Request from sqlalchemy.orm import Session from . import admin from .data import BroodUser from .models import ( SlackOAuthEvent, SlackIndexConfiguration, SlackBugoutUser, ) from ..broodusers import Method, bugout_api, process_group_in_journal_holders logger = logging.getLogger(__name__) BUGOUT_SCOPES = [ "app_mentions:read", "channels:read", "chat:write", "emoji:read", "groups:read", "groups:write", "im:history", "im:read", "im:write", "links:read", "mpim:read", "mpim:write", "reactions:read", "users.profile:read", ] class InstallationNotFound(Exception): """ Raised when a handler requires @bugout to be installed in a Slack workspace but the installation is not found. """ class SlackParseError(Exception): """ Raised when there is an error parsing a Slack message. """ class SlackPostMessageError(Exception): """ Raised when there is an error posting a message to Slack. """ class HTMLToText(HTMLParser): """ Converts (even parentless) HTML into raw text. This is used when displaying results containing HTML enrichments to users in Slack. TODO(neeraj): Should this be handled by the index server? """ def __init__(self): self.tokens = [] super().__init__() def handle_starttag(self, tag, attrs): if tag == "br": self.tokens.append("\n") def handle_endtag(self, tag): if tag == "p": self.tokens.append("\n") def handle_data(self, data): self.tokens.append(data) def generate(self): return " ".join(self.tokens) def reset(self): self.tokens = [] super().reset() async def verify_slack_request_p(request: Request) -> bool: """ Verifies the request as per Slack's instructions: https://api.slack.com/authentication/verifying-requests-from-slack There is a reference implementation available as part of the slack-events-api package: https://github.com/slackapi/python-slack-events-api/blob/9e36236a7488f54cad0d76ec8d2366a43283e2cc/slackeventsapi/server.py#L50 The reason we didn't directly use that package is that we have to handle FastAPI (actually Starlette) requests, not Flask requests. """ BUGOUT_SLACK_SIGNING_SECRET = os.environ.get("BUGOUT_SLACK_SIGNING_SECRET") if BUGOUT_SLACK_SIGNING_SECRET is None: raise ValueError( "Could not verify request: BUGOUT_SLACK_SIGNING_SECRET environment variable not set" ) signing_secret = str.encode(BUGOUT_SLACK_SIGNING_SECRET) slack_signature = request.headers["X-Slack-Signature"] version = "v0" timestamp = request.headers["X-Slack-Request-Timestamp"] body_bytes = await request.body() req = str.encode(f"{version}:{timestamp}:") + body_bytes req_digest = hmac.new(signing_secret, req, hashlib.sha256).hexdigest() request_hash = f"v0={req_digest}" return hmac.compare_digest(request_hash, slack_signature) def authorize_url( redirect_uri: str = "http://spire.bugout.dev:7475/slack/oauth", ) -> str: """ Creates authorization URL as per Slack OAuth instructions: https://api.slack.com/authentication/oauth-v2 """ client_id = os.environ.get("BUGOUT_SLACK_CLIENT_ID") if client_id is None: raise ValueError( "Could not create Authorization URL: BUGOUT_SLACK_CLIENT_ID not set" ) quoted_client_id = urllib.parse.quote_plus(client_id) client_id_section = f"client_id={quoted_client_id}" quoted_redirect_uri = urllib.parse.quote_plus(redirect_uri) redirect_uri_section = f"redirect_uri={quoted_redirect_uri}" quoted_scopes = urllib.parse.quote_plus(",".join(BUGOUT_SCOPES)) scope_section = f"scope={quoted_scopes}" url = f"https://slack.com/oauth/v2/authorize?{client_id_section}&{scope_section}&{redirect_uri_section}" return url async def handle_app_uninstall( db_session: Session, team_id: str, spire_api_url: str ) -> None: """ Handles uninstall of app from workspace by marking SlackOAuthEvent as deleted, removing groups and it's ids from journal permissions pertaining to that workspace from internal database. BroodUser, SlackBugoutUser, index configuration with journal is saved. """ query = db_session.query(SlackOAuthEvent).filter(SlackOAuthEvent.team_id == team_id) oauth_event = query.one() oauth_event.deleted = True db_session.add(oauth_event) db_session.commit() # Receive user, his token and groups he belongs to installation_user_query = db_session.query(SlackBugoutUser).filter( SlackBugoutUser.slack_oauth_event_id == oauth_event.id ) installation_user = installation_user_query.first() # Extract journal_id from SlackIndexConfiguration and delete holders from this group installation_journal = ( db_session.query(SlackIndexConfiguration) .filter(SlackIndexConfiguration.slack_oauth_event_id == oauth_event.id) .filter(SlackIndexConfiguration.index_name == "journal") .first() ) journal_id = installation_journal.index_url.rstrip("/").split("/")[-2] journal_api_url = spire_api_url + "/journals/" process_group_in_journal_holders( method=Method.delete, journal_id=journal_id, journal_api_url=journal_api_url, access_token=installation_user.bugout_access_token, group_id=installation_user.bugout_group_id, bot_installation=oauth_event, ) bugout_api.delete_group( installation_user.bugout_access_token, installation_user.bugout_group_id ) installation_user_query.update({SlackBugoutUser.bugout_group_id: None}) db_session.commit() logger.info( f"Uninstallation process for bot_installation: {oauth_event.id} complete" ) def handle_url_verification(item: Dict[str, Any]) -> str: """ Handles a Slack url_verification request: https://api.slack.com/events/url_verification """ challenge = item.get("challenge") if challenge is None: raise ValueError("No challenge in Slack URL verification request") cast(str, challenge) return challenge
#coding=utf-8 """ Description: 多文档格式转换工具 Author:伏草惟存 Prompt: code in Python3 env """ import os,fnmatch from win32com import client as wc from win32com.client import Dispatch,gencache ''' 功能描述:抽取文件文本信息 参数描述:1 filePath:文件路径 2 savePath: 指定保存路径 ''' def Files2Txt(filePath,savePath=''): try: # 1 切分文件上级目录和文件名 dirs,filename = os.path.split(filePath) # print('目录:',dirs,'\n文件名:',filename) # 2 修改转化后的文件名 typename = os.path.splitext(filename)[-1].lower() # 获取后缀 new_name = TranType(filename,typename) # print('新的文件名:',new_name) # 3 文件转化后的保存路径 if savePath=="": savePath = dirs else: savePath = savePath new_save_path = os.path.join(savePath,new_name) print('保存路径:',new_save_path) # 4 加载处理应用 wordapp = wc.Dispatch('Word.Application') mytxt = wordapp.Documents.Open(filePath) mytxt.SaveAs(new_save_path,4) mytxt.Close() except Exception as e: pass ''' 功能描述:根据文件后缀修改文件名 参数描述:1 filePath:文件路径 2 typename 文件后缀 返回数据:new_name 返回修改后的文件名 ''' def TranType(filename,typename): # 新的文件名称 new_name = "" if typename == '.pdf' : # pdf->txt if fnmatch.fnmatch(filename,'*.pdf') : new_name = filename[:-4]+'.txt' # 截取".pdf"之前的文件名 else: return elif typename == '.doc' or typename == '.docx' : # word->txt if fnmatch.fnmatch(filename, '*.doc') : new_name = filename[:-4]+'.txt' elif fnmatch.fnmatch(filename, '*.docx'): new_name = filename[:-5]+'.txt' else: return else: print('警告:\n您输入[',typename,']不合法,本工具支持pdf/doc/docx格式,请输入正确格式。') return return new_name if __name__ == '__main__': filePath1 = os.path.abspath(r'../dataSet/Corpus/wordtotxt/一种改进的朴素贝叶斯文本分类方法研究.doc') filePath2 = os.path.abspath(r'../dataSet/Corpus/pdftotxt/改进朴素贝叶斯文本分类方法研究.pdf') filePath3 = os.path.abspath(r'../dataSet/Corpus/wordtotxt/科技项目数据挖掘决策架构.docx') Files2Txt(filePath3)
# Copyright 2021 Rafał Safin (rafsaf). All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== import json from django.core.serializers.json import DjangoJSONEncoder from django.db.models import Count from django.forms.models import model_to_dict from base import models from utils import basic class TargetWeightQueries: def __init__( self, outline, ruin=False, fake=False, every=False, only_with_weights=False, filtr=None, ): self.outline = outline targets = ( models.TargetVertex.objects.select_related("outline_time") .prefetch_related( "weightmodel_set", ) .filter(outline=outline) .order_by("id") ) if not every: self.targets = targets.filter(fake=fake, ruin=ruin) else: if only_with_weights: self.targets = targets.annotate( num_of_weights=Count("weightmodel") ).filter(num_of_weights__gt=0) else: self.targets = targets if filtr is not None: player = filtr[0] coord = filtr[1] self.targets = self.targets.filter( target__icontains=coord, player__icontains=player ) def targets_json_format(self): context = {} target: models.TargetVertex for target in self.targets: context[target.pk] = { "target": target.target, "player": target.player, "fake": target.fake, "ruin": target.ruin, } return json.dumps(context) def __create_target_dict(self, for_json=False): if for_json: result = {} for target in self.targets: result[target.target] = list() return result result = {} for target in self.targets: result[target] = list() return result def __weights(self): return ( models.WeightModel.objects.select_related("target") .filter(target__in=self.targets) .order_by("order") ) def target_dict_with_weights_read(self): """Create dict key-target, value-lst with weights, add dist""" context = self.__create_target_dict() for weight in self.__weights(): weight.distance = round(basic.dist(weight.start, weight.target.target), 1) weight.off = f"{round(weight.off / 1000,1)}k" # type: ignore context[weight.target].append(weight) return context def target_dict_with_weights_extended(self): context = self.__create_target_dict() for weight in self.__weights().iterator(chunk_size=3000): context[weight.target].append(weight) return context def target_dict_with_weights_json_format(self): context = self.__create_target_dict(for_json=True) for weight in self.__weights().iterator(chunk_size=3000): context[weight.target.target].append( model_to_dict( weight, fields=[ "start", "player", "off", "nobleman", "distance", "t1", "t2", ], ) ) return json.dumps(context, cls=DjangoJSONEncoder) def target_period_dictionary(self): result_dict = {} outline_time_dict = {} for target in self.targets: outline_time_dict[target.outline_time] = list() for period in self.__time_periods(): outline_time_dict[period.outline_time].append(period) for target in self.targets: result_dict[target] = outline_time_dict[target.outline_time] return result_dict def time_period_dictionary(self): id_time = {} time_periods = {} for time in self.__all_outline_times(): time_periods[time] = list() for period in self.__all_time_periods(): id_time[period.outline_time.order] = period.outline_time time_periods[period.outline_time].append(period) return (id_time, time_periods) def __all_time_periods(self): times = self.__all_outline_times() periods = ( models.PeriodModel.objects.select_related("outline_time").filter( outline_time__in=times ) ).order_by("from_time", "-unit") return periods def __all_outline_times(self): try: outline_times = self.outline_times except AttributeError: outline_times = list( (models.OutlineTime.objects.filter(outline=self.outline)).order_by( "order" ) ) self.outline_times = outline_times return outline_times def __time_periods(self): periods = ( models.PeriodModel.objects.select_related("outline_time") .filter(outline_time__in=[target.outline_time for target in self.targets]) .order_by("from_time", "-unit") ) return periods def __dict_with_village_ids(self, iterable_with_ids): result_id_dict = {} for village in ( models.VillageModel.objects.select_related() .filter(coord__in=iterable_with_ids, world=self.outline.world) .values("coord", "village_id", "player__player_id") ): result_id_dict[village["coord"]] = village["village_id"] return result_id_dict
import numpy as np import sys as sys try: from pycuda import cumath, driver, gpuarray, tools from pycuda.elementwise import ElementwiseKernel from scikits.cuda import cublas import pycuda.autoinit except Exception as e: sys.stderr.write("WARNING: Pycuda or cublas was not found on python path\n")
from rental.models import Car, Language, User from rest_framework import serializers class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = ('id', 'username', 'email', 'lang', 'password', ) write_only_fields = ('password', ) def create(self, validated_data): return User.objects.create_user(**validated_data) class CarSerializer(serializers.ModelSerializer): name = serializers.SerializerMethodField() class Meta: model = Car fields = ('id', 'name', 'creation_year', 'created_at', ) def get_name(self, obj): request = self.context.get('request') if request.user.lang == Language.RU: return obj.name_ru return obj.name_en
from django import template register = template.Library() @register.filter def get_answer(offer, user): """Returns an user answer for the given offer""" if not user.is_authenticated: return None return offer.answers.filter(user=user).first()
from datetime import datetime from .Base import Base from . import db class Rental(Base): _ignored_fields = Base._ignored_fields + ['user_id', 'movie_id'] user_id = db.Column(db.ForeignKey('users.id')) movie_id = db.Column(db.ForeignKey('movies.id')) date_rented = db.Column(db.DateTime, default=datetime.utcnow()) date_returned = db.Column(db.DateTime, default=None) user = db.relationship('User', back_populates='rentals', lazy=True) movie = db.relationship('Movie', back_populates='rentals', lazy=True) def was_returned(self): return self.date_returned is not None
"""Support function for parsing JPL ephemeris text files. This is for parsing a NASA ephemeris text header file, like: ftp://ssd.jpl.nasa.gov/pub/eph/planets/ascii/de421/header.421 You can use this routine like this:: from jplephem.ascii import parse_header d = parse_header(open('header.421')) from pprint import pprint pprint(d) pprint(dict(zip(d['names'], d['values']))) """ import numpy as np def parse_header(lines): lines = iter(lines) while next(lines).strip() != 'GROUP 1030': continue assert next(lines).strip() == '' jalpha, jomega, jdelta = (float(s) for s in e(next(lines)).split()) while next(lines).strip() != 'GROUP 1040': continue assert next(lines).strip() == '' nconstants = int(next(lines)) names = [] while len(names) < nconstants: names.extend(next(lines).split()) while next(lines).strip() != 'GROUP 1041': continue assert next(lines).strip() == '' assert int(next(lines)) == nconstants values = [] while len(values) < nconstants: values.extend(float(s) for s in e(next(lines)).split()) while next(lines).strip() != 'GROUP 1050': continue assert next(lines).strip() == '' planet_offsets = np.array(next(lines).split(), np.int_) num_coefficients = np.array(next(lines).split(), np.int_) coefficient_sets = np.array(next(lines).split(), np.int_) del lines return(locals()) def e(s): """Convert a string in 0.1D+01 FORTRAN notation into 0.1e+10.""" return s.replace('D', 'e')
import torch import torch.nn as nn from bootstrap.lib.logger import Logger class ReduceLROnPlateau(): def __init__(self, optimizer, engine=None, mode='min', factor=0.1, patience=10, verbose=False, threshold=0.0001, threshold_mode='rel', cooldown=0, min_lr=0, eps=1e-08): self.optimizer = optimizer self.lr_scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, mode=mode, factor=factor, patience=patience, verbose=verbose, threshold=threshold, threshold_mode=threshold_mode, cooldown=cooldown, min_lr=min_lr, eps=eps) if engine is not None: engine.register_hook('train_on_begin_epoch', self.step_lr_scheduler) #engine.register_hook('eval_on_end_epoch', self.step_lr_scheduler) def step_lr_scheduler(self): prev_lr = self.lr_scheduler.optimizer.param_groups[0]['lr'] Logger().log_value('train_epoch.lr', prev_lr) # first epoch if len(Logger().values['eval_epoch.loss']) == 0: return val_loss = Logger().values['eval_epoch.loss'][-1] self.lr_scheduler.step(val_loss) new_lr = self.lr_scheduler.optimizer.param_groups[0]['lr'] if new_lr != prev_lr: Logger()('ReduceLROnPlateau: lr has changed from {} to {}'.format(prev_lr, new_lr)) def __getattr__(self, key): try: return super(ReduceLROnPlateau, self).__getattr__(key) except AttributeError: return self.optimizer.__getattribute__(key) # Inspired from https://github.com/jnhwkim/ban-vqa/blob/master/train.py class BanOptimizer(): def __init__(self, engine, name='Adamax', lr=0.0007, gradual_warmup_steps=[0.5, 2.0, 4], lr_decay_epochs=[10, 20, 2], lr_decay_rate=.25): self.engine = engine self.optimizer = torch.optim.__dict__[name]( filter(lambda p: p.requires_grad, engine.model.network.parameters()), lr=lr ) self.lr_decay_rate = lr_decay_rate self.lr_decay_epochs = eval("range({},{},{})".format(*lr_decay_epochs)) self.gradual_warmup_steps = [ weight * lr for weight in eval("torch.linspace({},{},{})".format( gradual_warmup_steps[0], gradual_warmup_steps[1], int(gradual_warmup_steps[2]) )) ] self.grad_clip = .25 self.total_norm = 0 self.count_norm = 0 if engine: engine.register_hook('train_on_start_epoch', self.set_lr) engine.register_hook('train_on_print', self.display_norm) def set_lr(self): epoch_id = self.engine.epoch optim = self.optimizer old_lr = optim.param_groups[0]['lr'] if epoch_id < len(self.gradual_warmup_steps): new_lr = self.gradual_warmup_steps[epoch_id] optim.param_groups[0]['lr'] = new_lr Logger()('Gradual Warmup lr: {:.8f} -> {:.8f}'.format(old_lr, new_lr)) elif epoch_id in self.lr_decay_epochs: new_lr = optim.param_groups[0]['lr'] * self.lr_decay_rate optim.param_groups[0]['lr'] = new_lr Logger()('Decrease lr: {:.8f} -> {:.8f}'.format(old_lr, new_lr)) else: Logger()('No change to lr: {:.8f}'.format(old_lr)) Logger().log_value('train_epoch.lr', optim.param_groups[0]['lr'].item()) def display_norm(self): Logger()(' norm: {:.5f}'.format(self.total_norm / self.count_norm)) def step(self): self.total_norm += nn.utils.clip_grad_norm_( self.engine.model.network.parameters(), self.grad_clip ) self.count_norm += 1 self.optimizer.step() Logger().log_value('train_batch.norm', self.total_norm / self.count_norm) def zero_grad(self): self.optimizer.zero_grad() def state_dict(self): state = {} state['optimizer'] = self.optimizer.state_dict() return state def load_state_dict(self, state): self.optimizer.load_state_dict(state['optimizer']) def __getattr__(self, key): try: return super(ReduceLROnPlateau, self).__getattr__(key) except AttributeError: return self.optimizer.__getattribute__(key)
from . import config as c from .basetypes import Vector2 import math def clamp(x, a, b): """Clamps value x between a and b""" return max(a, min(b, x)) def accelerate(obj, accel_x, accel_y, limit_x = None): """Accelerate until limit is reached""" obj.vel += Vector2(accel_x, accel_y) * c.delta_time if limit_x != None: if obj.vel.x > 0: obj.vel.x = clamp(obj.vel.x, 0, limit_x) elif obj.vel.x < 0: obj.vel.x = clamp(obj.vel.x, -limit_x, 0) def get_flipped_sprite(sprite): """Returns coordinates of a flipped sprite""" #429 is the width of the atlas return (429 - sprite[0] - sprite[2], sprite[1], sprite[2], sprite[3])
import socket def get_host_ip(): """Return the local IP address""" try: ss = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) ss.connect(('8.8.8.8', 8070)) ip = ss.getsockname()[0] finally: ss.close() return ip
#!/usr/bin/env python from __future__ import print_function import logging import os, re import SimpleITK as sitk import radiomics from radiomics import featureextractor import json import csv import random from . import utils def tqdmProgressbar(): """ This function will setup the progress bar exposed by the 'tqdm' package. Progress reporting is only used in PyRadiomics for the calculation of GLCM and GLSZM in full python mode, therefore enable GLCM and full-python mode to show the progress bar functionality N.B. This function will only work if the 'click' package is installed (not included in the PyRadiomics requirements) """ global extractor extractor.kwargs['enableCExtensions'] = False # Enable the GLCM class to show the progress bar extractor.enableFeatureClassByName('glcm') radiomics.setVerbosity(logging.INFO) # Verbosity must be at least INFO to enable progress bar import tqdm radiomics.progressReporter = tqdm.tqdm def clickProgressbar(): """ This function will setup the progress bar exposed by the 'click' package. Progress reporting is only used in PyRadiomics for the calculation of GLCM and GLSZM in full python mode, therefore enable GLCM and full-python mode to show the progress bar functionality. Because the signature used to instantiate a click progress bar is different from what PyRadiomics expects, we need to write a simple wrapper class to enable use of a click progress bar. In this case we only need to change the 'desc' keyword argument to a 'label' keyword argument. N.B. This function will only work if the 'click' package is installed (not included in the PyRadiomics requirements) """ global extractor extractor.kwargs['enableCExtensions'] = False # Enable the GLCM class to show the progress bar extractor.enableFeatureClassByName('glcm') radiomics.setVerbosity(logging.INFO) # Verbosity must be at least INFO to enable progress bar import click class progressWrapper(): def __init__(self, iterable, desc=''): # For a click progressbar, the description must be provided in the 'label' keyword argument. self.bar = click.progressbar(iterable, label=desc) def __iter__(self): return self.bar.__iter__() # Redirect to the __iter__ function of the click progressbar def __enter__(self): return self.bar.__enter__() # Redirect to the __enter__ function of the click progressbar def __exit__(self, exc_type, exc_value, tb): return self.bar.__exit__(exc_type, exc_value, tb) # Redirect to the __exit__ function of the click progressbar radiomics.progressReporter = progressWrapper # Get some test data def myRadiomicsData(nrrdDir): # repositoryRoot points to the root of the repository. The following line gets that location if this script is run # from it's default location in \pyradiomics\bin. Otherwise, it will point to some (invalid) folder, causing the # getTestCase function to fail to find the test case in the repository. In that case, a test case will be downloaded to # temporary files and it's location is returned. # repositoryRoot = os.path.abspath(os.path.join(os.getcwd(), "..")) # data = ['brain1', 'brain2', 'breast1', 'lung1', 'lung2'] # print(random.choice(data)) # imageName, maskName = radiomics.getTestCase(random.choice(data), repositoryRoot) ctPattern = re.compile('^ct.nrrd$', re.IGNORECASE) nrrdFilePattern = re.compile('.*nrrd$', re.IGNORECASE) # imageName = os.path.join(r'/media/sf_LAMBDA/2223563/NRRD/ct.nrrd') # maskName = os.path.join(r'/media/sf_LAMBDA/2223563/NRRD/RS1/AP_PTV1.nrrd') for f in os.listdir(nrrdDir): abpff = os.path.join(nrrdDir, f) # If the sub-path is an ignorable file, ignore it. if ctPattern.match(f) and os.path.isfile(abpff): imageName = str(abpff) # If the sub-path is a directory if utils.RTSTRUCT_FOLDER_PATTERN.match(f) and os.path.isdir(abpff): rsFolder = str(abpff) if imageName is None or rsFolder is None: # Something went wrong, in this case PyRadiomics will also log an error print('Error getting testcase!') exit() tableHead = [] tableData = [] rowData = [] s = '' for rs in os.listdir(rsFolder): if nrrdFilePattern.match(rs): maskName = os.path.join(rsFolder, rs) if imageName is None or maskName is None: # Something went wrong, in this case PyRadiomics will also log an error print('Error getting testcase!') exit() # Regulate verbosity with radiomics.verbosity (default verbosity level = WARNING) # radiomics.setVerbosity(logging.INFO) # Get the PyRadiomics logger (default log-level = INFO) logger = radiomics.logger logger.setLevel(logging.DEBUG) # set level to DEBUG to include debug log messages in log file # Set up the handler to write out all log entries to a file handler = logging.FileHandler(filename='testLog.txt', mode='w') formatter = logging.Formatter("%(levelname)s:%(name)s: %(message)s") handler.setFormatter(formatter) logger.addHandler(handler) # Define settings for signature calculation # These are currently set equal to the respective default values settings = {} # settings['binWidth'] = 25 settings[ 'resampledPixelSpacing'] = None # [3,3,3] is an example for defining resampling (voxels with size 3x3x3mm) settings['interpolator'] = sitk.sitkBSpline settings['correctMask'] = True # Initialize feature extractor extractor = featureextractor.RadiomicsFeaturesExtractor(**settings) # By default, only original is enabled. Optionally enable some image types: # extractor.enableImageTypes(Original={}, LoG={}, Wavelet={}) # Disable all classes except firstorder extractor.enableAllFeatures() # Enable all features in firstorder # extractor.enableFeatureClassByName('firstorder') # Only enable mean and skewness in firstorder extractor.enableFeaturesByName(firstorder=['Mean', 'Skewness']) # Uncomment one of these functions to show how PyRadiomics can use the 'tqdm' or 'click' package to report progress when # running in full python mode. Assumes the respective package is installed (not included in the requirements) # tqdmProgressbar() # clickProgressbar() # print(str(rs).replace('.nrrd','')) rsName = str(rs).replace('.nrrd', '') try: featureVector = extractor.execute(imageName, maskName) except: print("Structure name: %s " % (rsName)) continue handler.close() if len(tableHead) == 0: tableHead.append('Structure_Name') rowData.append(rsName) for featureName in featureVector.keys(): tableHead.append(featureName) rowData.append(featureVector[featureName]) tableData.append(rowData) rowData = [] else: rowData.append(rsName) for featureName in featureVector.keys(): rowData.append(featureVector[featureName]) tableData.append(rowData) rowData = [] return tableHead, tableData def calculateRadiomics(imageNrrd, structureNrrdFolder): # imageName, maskName = radiomics.getTestCase(random.choice(data), repositoryRoot) CT_nrrd_pattern = re.compile(r'.*-CT-.*.nrrd', re.IGNORECASE) RTSTRUCT_folder_pattern = re.compile(r'.*-RTSTRUCT-.*', re.IGNORECASE) nrrdFilePattern = re.compile('.*nrrd$', re.IGNORECASE) if CT_nrrd_pattern.match(imageNrrd) and RTSTRUCT_folder_pattern.match(structureNrrdFolder): if os.path.exists(imageNrrd) and os.path.exists(structureNrrdFolder): tableHead = [] tableData = [] rowData = [] s = '' for rs in os.listdir(structureNrrdFolder): if nrrdFilePattern.match(rs): maskName = str(os.path.join(structureNrrdFolder, rs)) if imageNrrd is None or maskName is None: # Something went wrong, in this case PyRadiomics will also log an error print('Error getting testcase!') exit() # check roi size, if the roi size is too big, ignore this roi rsName = str(rs).replace('.nrrd', '') print(rsName) #check whether this file is a large file isLargeFile = utils.checkLargeRoiNrrd(maskName) isTarget = utils.checkRoiNameIsTarget(rsName) isOrgan = utils.checkRoiNameIsOrgans(rsName) if isLargeFile: # Yes, it is large if isTarget or isOrgan: #check whether this is a target or a organ pass # Yes, calculate else: print(rsName + ' is a large file and it is neither a target nor a organ.') continue # No, jump out else: # No, it is not a large file pass # Regulate verbosity with radiomics.verbosity (default verbosity level = WARNING) # radiomics.setVerbosity(logging.INFO) # Get the PyRadiomics logger (default log-level = INFO) #logger = radiomics.logger #logger.setLevel(logging.DEBUG) # set level to DEBUG to include debug log messages in log file # Set up the handler to write out all log entries to a file #handler = logging.FileHandler(filename='testLog.txt', mode='w') #formatter = logging.Formatter("%(levelname)s:%(name)s: %(message)s") #handler.setFormatter(formatter) #logger.addHandler(handler) # Define settings for signature calculation # These are currently set equal to the respective default values settings = {} # settings['binWidth'] = 25 settings[ 'resampledPixelSpacing'] = None # [3,3,3] is an example for defining resampling (voxels with size 3x3x3mm) settings['interpolator'] = sitk.sitkBSpline settings['correctMask'] = True # Initialize feature extractor extractor = featureextractor.RadiomicsFeaturesExtractor(**settings) # By default, only original is enabled. Optionally enable some image types: # extractor.enableImageTypes(Original={}, LoG={}, Wavelet={}) # Disable all classes except firstorder extractor.enableAllFeatures() # Enable all features in firstorder # extractor.enableFeatureClassByName('firstorder') # Only enable mean and skewness in firstorder extractor.enableFeaturesByName(firstorder=['Mean', 'Skewness']) # Uncomment one of these functions to show how PyRadiomics can use the 'tqdm' or 'click' package to report progress when # running in full python mode. Assumes the respective package is installed (not included in the requirements) # tqdmProgressbar() # clickProgressbar() try: featureVector = extractor.execute(imageNrrd, maskName) except: print("Structure name: %s " % (rsName)) continue #handler.close() if len(tableHead) == 0: tableHead.append('Structure_Name') rowData.append(rsName) for featureName in featureVector.keys(): tableHead.append(featureName) rowData.append(featureVector[featureName]) tableData.append(rowData) rowData = [] else: rowData.append(rsName) for featureName in featureVector.keys(): rowData.append(featureVector[featureName]) tableData.append(rowData) rowData = [] return tableHead, tableData # repositoryRoot = os.path.abspath("/media/sf_LAMBDA/2223563/NRRD") # myRadiomicsData(repositoryRoot)
#!/usr/bin/python3 import os import sys from pymongo import MongoClient, errors class Mongo: def __init__(self, connectionString, databaseName, collectionName): self.connectionString = connectionString self.databaseName = databaseName self.collectionName = collectionName #Function ensures that user defined database and collection names are valid def checkValidDbAndConnectionName(mongoDbName, mongoCollectionName): #Illegal characters in a Mongo database name invalidCharDbList = ['/',"\\",'.',' ','"','$'] #Database name has to be wrapped in two levels of quotes, single quotes, and inside them, double quotes #This is done in an attempt to sanitize the data, though this can still be overcome by using 4 levels of quotes if not ((mongoDbName[0] == '"') and (mongoDbName[-1] == '"')): sys.exit('Database name must be wrapped in 2 levels of quotes, \'"<DB NAME>"\', \ \nthe quotes will be removed automatically, program terminating') else: #Stripping away double quotes, single quotes are eaten by bash automatically mongoDbName = mongoDbName[1:-1] #Python 'exec' function will be used later, pass cannot be present in this function if (mongoDbName == 'pass') or (mongoCollectionName == 'pass'): sys.exit("Database name or collection name cannot be 'pass', program terminating") #Collection name has to be wrapped in two levels of quotes, single quotes, and inside them, double quotes #This is done in an attempt to sanitize the data, though this can still be overcome by using 4 levels of quotes if not ((mongoCollectionName[0] == '"') and (mongoCollectionName[-1] == '"')): sys.exit('Collection name must be wrapped in 2 levels of quotes, \'"<COLLECTION NAME>"\', \ \nthe quotes will be removed automatically, program terminating') else: #Stripping away double quotes, single quotes are eaten by bash automatically mongoCollectionName = mongoCollectionName[1:-1] #Mongo Database will not allow database names to be over 63 characters if len(mongoDbName) >= 64: sys.exit('Length of database name is over 63 characters, program terminating') #Making sure any character from list above ^, is not present for invalidChar in invalidCharDbList: if invalidChar in mongoDbName: sys.exit("Invalid char: '" + invalidChar + "' in database name, program terminating") #Only illegal character for collections is '$' if '$' in mongoCollectionName: sys.exit("Invalid char: '$' in collection name, program terminating") #Both collection and database names cannot be empty string if mongoCollectionName == '': sys.exit('Collection name cannot be empty string, program terminating') if mongoDbName == '': sys.exit('Database name cannot be empty string, program terminating') #Collection name cannot start with 'system.' if '.' in mongoCollectionName: if mongoCollectionName.split('.')[0] == 'system': sys.exit("Collection name cannot start with 'system.', program terminating") #Total length of collection namespace has to be below 120 bytes, so 119 characters (there is a mandatory dot) if len(mongoDbName) + len(mongoCollectionName) > 119: sys.exit("Max size of collection namespace '<db name>.<collection name>' is 120 bytes, program terminating") return mongoDbName, mongoCollectionName #Function checks to see if the user wants to use default connection string or supply their own in a file def askUserForConnectionString(): userAnswer = '' connectionString = '' print('Program by default connects to Mongo Database @ localhost, port 27017') #Will only take 'Y' or 'N' as a response while True: print('Would you like to change this? (Y/N)') userAnswer = input() if userAnswer == 'Y' or userAnswer == 'N': break if userAnswer == 'N': return None #If user does want to modify connection string: #User enters file name that contains connection string into stdin print('Please insert the connection string into a text file and provide the file name below: ') connectionStringFileName = input() #Seeing if file actually exists if not os.path.isfile(connectionStringFileName): sys.exit('Could not open file containing connection string, program terminating') #If it does, opening it, entire contents become connection string #If file is correct, it should only be one line long with open(connectionStringFileName) as openFile: connectionString = openFile.read() return connectionString #Function checks to see if a connection can be established to a Mongo Database instance def checkForValidConnection(userDefinedConnectionString): timeOutVal = 1 connectionString = '' #If the user opted to use the default string, with connects to localhost at port 27017 if userDefinedConnectionString != None: connectionString = 'mongodb://localhost:27017' #If they provided their own string else: connectionString = userDefinedConnectionString #Modifying timeout, default is 30 seconds, now it is 1 microsecond client = MongoClient(connectionString, serverSelectionTimeoutMS = timeOutVal) db= client.admin #Seeing if server responds, or if timeout error occurs try: client.server_info() print("Established connection to Mongo Database") except errors.ServerSelectionTimeoutError: sys.exit('Could not establish connection with Mongo Database, program terminating') #Function writes compressed string, and lookup information into Mongo Database def writeToDatabase(self, compressedStream, tag, mongoFieldNames): #mongoFieldNames are the field (column) names defined by the user to break up the CSV on #tag is the set of actual values for each field that make up this segment #Zipping them together to create dictionary (JSON), allows for lookup in Mongo Db dataTagDict = dict(zip(mongoFieldNames, tag)) #Adding a new field to dictionary for our compressed object dataTagDict['compressedObject'] = compressedStream #Reconnecting to Mongo Database client = MongoClient(self.connectionString) #Has to be done in exec, because code doesn't allow for dynamic database names dbString = 'db = client.' + self.databaseName exec(dbString) #Has to be done in exec, because code doesn't allow for dynamic collection names collectionString = 'result = db.' + self.collectionName + '.insert_one(dataTagDict)' exec(collectionString) print('Segment successfully written to Mongo Database:', list(tag)) #Function retrieves compressed string from Mongo Databased based on lookup information def retrieveSegmentsFromDatabase(self, columnsToReconstructOn): queryDict = {} queryResult = None #Reconnecting into Mongo Database client = MongoClient(self.connectionString) #Since argument is in format FIELD=VALUE, splitting on '=' for fieldValuePair in columnsToReconstructOn: brockenUp = fieldValuePair.split('=') #User forgot to include '=' if len(brockenUp) == 1: sys.exit('Field name for decompression must be in format FIELD=VALUE, no equal sign detected, program terminating') #'FIELD=VALUE' becomes {FIELD: VAlUE} entries in a dictionary else: queryDict[brockenUp[0]] = brockenUp[1] #Has to be done in exec, because code doesn't allow for dynamic database names dbString = 'db = client.' + self.databaseName exec(dbString) #Has to be done in exec, because code doesn't allow for dynamic collection names _locals = locals() queryString = 'queryResult = db.' + self.collectionName + '.find(' + str(queryDict) + ')' exec(queryString, globals(), _locals) queryResult = list(_locals['queryResult']) #Query returned nothing if len(queryResult) == 0: sys.exit('Successfully queried input, 0 results, program terminating') #Query returned something else: print('Successfully retrieved query results on:', self.collectionName + ', from Mongo Database:', self.databaseName) return queryResult
import os import vlc surahFiles = os.listdir("./") surahFiles.sort() j=0 while j<len(surahFiles): print "len: " + str(len(surahFiles)) + " j " + str(j) surahFile = surahFiles[j] print surahFile if not surahFile.endswith('.mp3'): j = j + 1 continue; #surahFile = "037-as-saffat.mp3" surahPath = surahFile print "vlc load" player = vlc.MediaPlayer(surahPath) player.play() timingFile = "./" + surahFile[:3] + ".txt" lines = [line.rstrip('\n') for line in open(timingFile)] i=0 #for line in lines: while i<len(lines): ayahTime = int(lines[i]) player.set_time(ayahTime) print str(lines[i]) input = raw_input('Press enter for next ayah. Press any other key for next surah. ' + str(i+1)) if input == "n": player.stop() print "exiting" break; elif input == "ps": player.stop() j = j - 3 break; elif input == "p": i = i - 1 continue; i = i + 1 continue; j = j + 1 print "incrementing" player.stop()
# -*- coding: utf-8 -*- import pytest from todolist import create_app from todolist.services import todo as todo_service @pytest.fixture def app(): app = create_app() return app @pytest.fixture(scope='function', autouse=True) def reset_todo_list(): """Reset `todo_service._TODOS` state.""" todo_service._TODOS = {}
import platform import click from awsflock.parsing import Duration DEFAULT_DYNAMO_TABLE = "awsflock" def lease_duration_opt(func): return click.option( "--lease-duration", type=Duration(), default="2 hours", show_default=True, help=( "The duration of the lease, after which it expires if not released. " "Given as an integer and a duration unit. Valid durations are " "seconds, minutes, hours, and days. " "Defaults to seconds if no unit is given" ), )(func) def help_opt(func): return click.help_option("-h", "--help")(func) def table_opt(func): return click.option( "--tablename", envvar="AWSFLOCK_TABLE", default=DEFAULT_DYNAMO_TABLE, show_default=True, help=( "A custom name for the lock table to use. " "Can be set with the AWSFLOCK_TABLE env var" ), )(func) def owner_opt(func): def callback(ctx, param, value): # if no owner is given, default to hostname of the current machine # failover to NULL in the worst case if not value: return platform.node() or "NULL" return value return click.option( "--owner", help=( "The name of the lock owner. Defaults to using the hostname from the " "calling environment. Informational only, no impact on lock logic" ), callback=callback, )(func)
import os import numpy as np import matplotlib # Force matplotlib to not use any Xwindows backend. matplotlib.use('Agg') import matplotlib.pyplot as plt from networkx.drawing.nx_pylab import draw_spring from meta_graph import convert_to_original_graph from events import detect_events_given_path from util import load_json_by_line CURDIR = os.path.dirname(os.path.abspath(__file__)) interactions = load_json_by_line(CURDIR + '/data/enron.json') people_info = load_json_by_line(CURDIR + '/data/people.json') peopleid2info = {r['id']: (r['name'], r['email']) for r in people_info} summary_kws = { 'temporal_traffic': False, 'topics': False, 'email_content': False, 'participants': { 'people_info': people_info, 'interactions': interactions } } def draw_kws_graphs(g): degrees_dict = g.degree(g.nodes()) degrees = [degrees_dict[n] for n in g.nodes()] return { 'node_size': np.log(np.asarray(degrees) + 1) * 100 } def draw_kws_events(g): data = draw_kws_graphs(g) nodes = g.nodes() degrees = g.degree(nodes) important_nodes = sorted(nodes, key=lambda k: degrees[k], reverse=True)[:3] data['labels'] = {n: peopleid2info[n] for n in important_nodes} data.update({'font_size': 16, 'font_weight': 'bold', 'font_color': '#2980B9'}) return data def plot_events(events, figure_dir): """for original graph """ gs = map(convert_to_original_graph, events) plot_graphs(gs, figure_dir, gen_kws_func=draw_kws_events) def plot_graphs(gs, figure_dir, gen_kws_func=draw_kws_graphs): """more meta graph """ if not os.path.exists(figure_dir): os.makedirs(figure_dir) for i, g in enumerate(gs): kws = gen_kws_func(g) draw_spring(g, **kws) plt.hold(False) plt.savefig(os.path.join(figure_dir, "{}.png".format(i+1))) def main(): import sys result_path = sys.argv[1] dirname = os.path.basename(result_path).replace('.pkl', '') events = detect_events_given_path(result_path, 5) # plot_graphs(events, 'figures/{}'.format(dirname)) plot_events(events, 'figures/original-graph-of-event/{}'.format(dirname)) if __name__ == '__main__': main()
import math def circleArea(r): return math.pi*r*r print(circleArea(55)) print(math.pi)
import torch from torch import Tensor import math from .benchmarks import BenchmarkBase from botorch.utils.sampling import draw_sobol_samples class SineBenchmark(BenchmarkBase): """ One-dimensional sine function with two global optimizers with different noise level. Noise in the measurements is zero-mean Gaussian with heteroscedastic (i.e., input-dependent) variance induced by sigmoid function. This results into small noise on [0, 1] and higher noise on (1, 2]. """ def __init__(self, config): super(SineBenchmark, self).__init__() self.sigma = config['sigma'] self.repeat_eval = config['repeat_eval'] self._optimizers = [0.25, 1.25] self._max_value = 1 self.seed_test = 42 def evaluate(self, x: Tensor, seed_eval=None) -> Tensor: y_true = self.f(x) sigmas = self.get_noise_var(x) if seed_eval is not None: shape = torch.cat([y_true] * self.repeat_eval, dim=1).shape y = y_true + sigmas * torch.randn(shape, generator=torch.Generator().manual_seed(seed_eval)) else: y_true = torch.cat([y_true] * self.repeat_eval, dim=1) y = y_true + sigmas.reshape((-1, 1)) * torch.randn_like(y_true) return y def evaluate_on_test(self, x: Tensor) -> Tensor: y_true = self.f(x) sigmas = self.get_noise_var(x) shape = y_true.shape noise = sigmas * torch.randn(shape, generator=torch.Generator().manual_seed(self.seed_test)) y = y_true + noise return y def get_domain(self): bounds = torch.zeros(2, 1, dtype=torch.float) bounds[1] = 2 return bounds def get_random_initial_points(self, num_points, seed) -> Tensor: x = draw_sobol_samples(self.get_domain(), num_points, q=1, seed=seed).reshape((-1, 1)) return x @staticmethod def f(x): y_true = torch.sin(x * (2 * math.pi)) return y_true.reshape((-1, 1)) def get_noise_var(self, x): sigmas = torch.sigmoid((x - 1) * 30) * self.sigma + 0.1 return sigmas def get_info_to_dump(self, x): dict_to_dump = { 'f': self.f(x).squeeze(), 'rho': self.get_noise_var(x).squeeze() } return dict_to_dump
# Time: O(|V| + |E|) # Space: O(|E|) # There are a total of n courses you have to take, labeled from 0 to n - 1. # # Some courses may have prerequisites, for example to take course 0 you have to first take course 1, # which is expressed as a pair: [0,1] # # Given the total number of courses and a list of prerequisite pairs, return the ordering of courses # you should take to finish all courses. # # There may be multiple correct orders, you just need to return one of them. If it is impossible # to finish all courses, return an empty array. # # For example: # # 2, [[1,0]] # There are a total of 2 courses to take. To take course 1 you should have finished course 0. # So the correct course order is [0,1] # # 4, [[1,0],[2,0],[3,1],[3,2]] # There are a total of 4 courses to take. To take course 3 you should have finished both courses 1 and 2. # Both courses 1 and 2 should be taken after you finished course 0. So one correct course order is [0,1,2,3]. # Another correct ordering is[0,2,1,3]. # # Note: # The input prerequisites is a graph represented by a list of edges, not adjacency matrices. # Read more about how a graph is represented. # # Hints: # This problem is equivalent to finding the topological order in a directed graph. # If a cycle exists, no topological ordering exists and therefore it will be impossible to take all courses. # Topological Sort via DFS - A great video tutorial (21 minutes) on Coursera explaining # the basic concepts of Topological Sort. # Topological sort could also be done via BFS. # from collections import defaultdict, deque import collections # bfs solution class Solution(object): def findOrder(self, numCourses, prerequisites): """ :type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int] """ in_degree, graph = defaultdict(int), defaultdict(set) for c, pre in prerequisites: in_degree[c] += 1 graph[pre].add(c) # 每次只能选 入度为 0 的课,因为它不依赖别的课 ans = [] zero_in_degree_queue = deque([i for i in range(numCourses) if i not in in_degree]) while zero_in_degree_queue: prerequisite = zero_in_degree_queue.popleft() ans.append(prerequisite) for course in graph[prerequisite]: in_degree[course] -= 1 # 减小相关课的入度 if not in_degree[course]: zero_in_degree_queue.append(course) return ans if len(ans) == numCourses else [] def findOrder_bfs2(self, numCourses, prerequisites): in_degree = collections.defaultdict(set) out_degree = collections.defaultdict(set) for i, j in prerequisites: in_degree[i].add(j) out_degree[j].add(i) q = collections.deque([i for i in xrange(numCourses) if i not in in_degree]) result = [] while q: node = q.popleft() result.append(node) for i in out_degree[node]: in_degree[i].remove(node) if not in_degree[i]: q.append(i) del in_degree[i] del out_degree[node] return result if not in_degree and not out_degree else [] # Time: O(|V| + |E|) # Space: O(|E|) # dfs solution class Solution2(object): def findOrder(self, numCourses, prerequisites): """ :type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int] """ in_degree = collections.defaultdict(set) out_degree = collections.defaultdict(set) for i, j in prerequisites: in_degree[i].add(j) out_degree[j].add(i) stk = [i for i in xrange(numCourses) if i not in in_degree] result = [] while stk: node = stk.pop() result.append(node) for i in out_degree[node]: in_degree[i].remove(node) if not in_degree[i]: stk.append(i) del in_degree[i] del out_degree[node] return result if not in_degree and not out_degree else []
import os import re import sys import subprocess from termcolor import colored def __find_file_in_dir(directory, filename): if re.search(r'^~', directory): directory = os.path.expanduser(directory) matches = [] if os.path.isdir(directory): for root, dirs, files in os.walk(directory): for file in files: path = os.path.join(root, file) if path.endswith('/' + filename): matches.append(path) else: print colored(directory + " is not a directory", 'red') sys.exit(1) return matches def run(dirs, filename): paths = [] for d in dirs: matches = __find_file_in_dir(d, filename) if len(matches) == 1: paths.append(matches[0]) elif len(matches) > 1: print colored("More than one file found for " + filename + " in " + d, 'red') print colored("Matches Found:", 'red') pre = "\n " print colored(pre + pre.join(matches), 'yellow') sys.exit(1) else: print colored("No file found for " + filename + " in " + d, 'red') try: cmd = "diffmerge.sh " + " ".join(paths) print colored(cmd, 'yellow') subprocess.call(cmd.split()) except KeyboardInterrupt: print print colored("Exit diffmerge", 'red') sys.exit(1)
# Copyright 2019 Graphcore Ltd. import numpy as np import popart import time from functools import partial class PerfIntervalTimer: # Define a simple timer object: def __init__(self): self.time = None def not_set(self): return self.time is None def last(self): return self.time def reset(self): self.time = time.perf_counter() def interval(self): now = time.perf_counter() interval = now - self.time return interval # Define a function to build and run the graph with # the specified data size: def build_and_run_graph(data_size): # Create a builder object: builder = popart.Builder() # Specifiy two input vectors: data_spec = popart.TensorInfo("FLOAT", [data_size]) id_a = builder.addInputTensor(data_spec) id_b = builder.addInputTensor(data_spec) # Describe the computation: o1 = builder.aiOnnx.add([id_a, id_b]) o2 = builder.aiOnnx.mul([id_a, id_b]) # Designate the two output vectors and how # often the result will be required: builder.addOutputTensor(o1) builder.addOutputTensor(o2) dataFlow = popart.DataFlow( 1, {o1: popart.AnchorReturnType("ALL"), o2: popart.AnchorReturnType("ALL")}) # Setup an inference graph: proto = builder.getModelProto() session = popart.InferenceSession( fnModel=proto, dataFeed=dataFlow, deviceInfo=popart.DeviceManager().createIpuModelDevice({})) # Compile graph: session.prepareDevice() # Create input data buffers: data_a = np.random.rand(data_size).astype(np.float32) data_b = np.random.rand(data_size).astype(np.float32) inputs = {id_a: data_a, id_b: data_b} # Create output data buffers: anchors = session.initAnchorArrays() # Create timer objects and dictionaries: timer = PerfIntervalTimer() rtts = {} # Input callback is called when the data is needed: def input_callback(id, is_prefetch: bool): if is_prefetch: return if timer.not_set(): timer.reset() return inputs[id] # Called after the input buffer has been consumed: def input_complete_callback(id): return # Output callback is called when a buffer is needed for the result: def output_callback(id): return anchors[id] # Complete callback is called when the output buffer has # been filled (result is ready to be consumed by the host): def output_complete_callback(id): rtt = timer.interval() rtts[id] = rtt # Create the callback IO system: stepio = popart.PyStepIOCallback(input_callback, input_complete_callback, output_callback, output_complete_callback) # Run the graph and return timings: session.run(stepio) return rtts if __name__ == '__main__': sizes = [1, 10, 100, 1000, 10000, 100000, 1000000, 10000000] results = [] for i in sizes: results.append(build_and_run_graph(i)) keys = results[0].keys() for k in keys: print(f"\nLatencies for {k}") for s, d in enumerate(results): print(f"{sizes[s]}, {d[k]}")
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.11.3 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab.research.google.com/github/always-newbie161/pyprobml/blob/hermissue_gcs/notebooks/GCS_demo_v2.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> # + [markdown] id="NR_ZjHc79eil" # ### Authenticate in order to access the GCS # + [markdown] id="shFPvZGDC4wX" # We don't need authentication to access public data in GCloud but # in order to access protected data or write to a protected bucket, you need to set up credentials (authenticate) # + id="xiNlHqTy87vv" from google.colab import auth auth.authenticate_user() # + [markdown] id="lT8OpNHGCvdW" # ### Setting a project # + [markdown] id="aKDAI0sbBjMj" # We need to choose a project inorder to work with buckets, if you dont have any, create a project in Gcloud [**Console**](https://console.cloud.google.com/storage/browser?_ga=2.260409357.104440840.1625245885-649740148.1623669299) # + [markdown] id="EWCPn3ZrAqKx" # First we need to set a default project using the project_id so that you are able to use commands which unless require specifying the project. # + [markdown] id="SOuPjpRSBOmZ" # `glcoud` can be used to set the default project. # + id="zHCWgTL8Cnlc" project_id = "your_project_id" # + colab={"base_uri": "https://localhost:8080/"} id="z_qBhNW0BNHI" outputId="ae51ee86-e960-4f97-d619-08999dc300a2" # !gcloud config set project {project_id} # + [markdown] id="lW1KylyKnyxd" # ## Using **gsutil**- CLI for GCloud # # [Docs](https://cloud.google.com/storage/docs/gsutil/commands/help) # # # + [markdown] id="0NXOriaMyShh" # ### Create # + [markdown] id="SS9LgEeUyPof" # command to create a bucket # # ``` # gsutil mb [-b (on|off)] [-c <class>] [-l <location>] [-p <proj_id>] # [--retention <time>] [--pap <setting>] gs://<bucket_name>... # ``` # # + id="ED3IhiSsn24X" import uuid bucket_name = 'colab-sample-bucket-' + str(uuid.uuid1()) # + [markdown] id="SsejI5v3oowM" # This will create a bucket with `bucket_name` with default configurations. # + colab={"base_uri": "https://localhost:8080/"} id="KX7T4pWYn-Ui" outputId="7763a69f-dc64-4c07-e13a-f41e8c29d1da" # !gsutil mb gs://{bucket_name} # + [markdown] id="RBiYaUkLpXVL" # Creating a local folder with a test file to upload to the bucket # + id="RJp9oEoql6GA" # !mkdir /tmp/test_folder # + id="X8gVcAhvmA7j" with open('/tmp/test_folder/test_file.txt', 'w') as f: f.write('this file get saved in the test_folder') # + [markdown] id="lHN5lYRIqFNY" # Uploading the folder to the bucket # # The object `gs://{bucket_name}/test_folder/test_file.txt` is created. # + colab={"base_uri": "https://localhost:8080/"} id="cKpAM65zqCRW" outputId="79dfd6ef-307a-4795-90fa-cdec14826fe3" # !gsutil cp -r /tmp/test_folder gs://{bucket_name} # + colab={"base_uri": "https://localhost:8080/"} id="qoectKiGOABf" cellView="form" outputId="1724e90a-5650-4cf7-89b1-45eb2ffe7c6c" #@markdown Once the upload has finished, the data will appear in the Cloud Console storage browser for your project: print('https://console.cloud.google.com/storage/browser?project=' + project_id) # + [markdown] id="W8euIG2-SJwL" # ![Screenshot 2021-07-04 at 12.13.28 PM.png](data:image/png;base64,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) # + [markdown] id="Qh-jT25JyYTj" # ### Read # + [markdown] id="d8DiZOQXqZVS" # The contents of the uploaded file in the bucket can be read in this way # + colab={"base_uri": "https://localhost:8080/"} id="OJYVdw8xqSLm" outputId="69cfc55e-216e-4c32-bc3c-0c6d8919d429" # !gsutil cat gs://{bucket_name}/test_folder/test_file.txt # + [markdown] id="w2gH3Dk6vWHJ" # The whole folder/file from the bucket can be downloaded in this way. # + colab={"base_uri": "https://localhost:8080/"} id="r3t976BBu6HG" outputId="d60bea6e-c52d-48c9-fb25-914d40e30970" # !gsutil cp -r gs://{bucket_name}/test_folder /content/ # !gsutil cp gs://{bucket_name}/test_folder/test_file.txt /content/ # + [markdown] id="1bMA_qqlyahq" # ### Update # + [markdown] id="MTezzZ7fudgn" # **Updating a file** # # Edit the local copy and overwrite the file in the bucket. # + colab={"base_uri": "https://localhost:8080/"} id="6luwErwjtcB_" outputId="123f7161-abad-4070-95fd-bf4e37030d41" with open('/tmp/test_folder/test_file.txt', 'a') as f: f.write(' this new string is added later') # !gsutil cp /tmp/test_folder/test_file.txt gs://{bucket_name}/test_folder # + colab={"base_uri": "https://localhost:8080/"} id="I_sg3FIiuRk3" outputId="0199d1c9-9084-4575-9b7c-ff48020eeec5" # !gsutil cat gs://{bucket_name}/test_folder/test_file.txt # + [markdown] id="Zy1HfnVawOwn" # If you want to **update a folder** in the bucket to be in sync with a local copy of the folder, use `rsync` # + [markdown] id="9tM3NTLITBig" # Making some changes to the `test_folder` # + id="fS1alXdiwM9Q" # !rm /tmp/test_folder/test_file.txt # + [markdown] id="QD3Zg4jeLi5b" # adding a new file `test_file2.txt` # + id="yv-cvrnLSnKn" with open('/tmp/test_folder/test_file2.txt', 'w') as f: f.write('this is a new file named test_file2') # + [markdown] id="58AkHxXDTVM1" # You can check the contents of your bucket at any level using the `ls` cmd. # + [markdown] id="DdbkzqXFLpQf" # bucket contents before updating. # + colab={"base_uri": "https://localhost:8080/"} id="FBYGiFBTwxNq" outputId="a129024b-06ab-40b2-ceb7-9f6d75caa1e0" # !gsutil ls gs://{bucket_name}/test_folder # + colab={"base_uri": "https://localhost:8080/"} id="5WPy8ewNwka7" outputId="12d4e006-2da9-4a0f-ddb3-4f80c524887a" # !gsutil rsync -d /tmp/test_folder gs://{bucket_name}/test_folder # + [markdown] id="Pes9aB56Ls6c" # bucket contents after updating. # + colab={"base_uri": "https://localhost:8080/"} id="fbv0b1KOx7qF" outputId="7d5eaa82-4caf-4c67-888b-041933385b7f" # !gsutil ls gs://{bucket_name}/test_folder # + [markdown] id="5venzhkhyjUI" # ### Delete # + [markdown] id="LldL5vrqyoVY" # **Contents of a bucket** can be deleted using `rm` command # + colab={"base_uri": "https://localhost:8080/"} id="_rPX75LUynVb" outputId="85465c29-afe6-4745-dde3-6d3c5871e8af" # !gsutil rm -r gs://{bucket_name}/test_folder # + id="seeBynfHzPiC" # !gsutil ls gs://{bucket_name} # + [markdown] id="LouQLE76zrO3" # **Deleting a bucket** # # The rb command deletes a bucket. Buckets must be empty before you can delete them. # + colab={"base_uri": "https://localhost:8080/"} id="S4KiQaoSztt9" outputId="31f8f3ff-20da-4b4b-926d-36dd51f729a2" # !gsutil rb gs://{bucket_name} # + [markdown] id="xWFE65hNT83Y" # ## Using GC **python API** # + [markdown] id="aIM1BbWGcw48" # ### Create # + [markdown] id="uC0jTo9FfCrl" # Creating a bucket # + id="5fxyVu7Zc1TQ" bucket_name = 'colab-sample-bucket-' + str(uuid.uuid1()) # + colab={"base_uri": "https://localhost:8080/"} id="er_q2sA_cWBH" outputId="a4f47186-d544-4a6a-f303-6e72a8977c38" # Imports the Google Cloud client library from google.cloud import storage # Instantiates a client storage_client = storage.Client(project=project_id) # Creates the new bucket bucket = storage_client.create_bucket(bucket_name) print("Bucket {} created.".format(bucket.name)) # + id="niaT7sHjea6O" # !mkdir /tmp/test_api_folder # + id="_GRnTfFvea6R" with open('/tmp/test_api_folder/test_api_file.txt', 'w') as f: f.write('this file get saved in the test_api_folder') # + [markdown] id="wdry4faxfG57" # Uploading a object (a file with its path) # + colab={"base_uri": "https://localhost:8080/"} id="S5_hlNWRdUIH" outputId="08d3e111-8536-46ae-de30-73ebff8603c0" destination_blob_name = 'test_api_folder/test_api_file.txt' source_file_name = '/tmp/test_api_folder/test_api_file.txt' blob = bucket.blob(destination_blob_name) blob.upload_from_filename(source_file_name) print("File {} uploaded to {}.".format(source_file_name, destination_blob_name)) # + colab={"base_uri": "https://localhost:8080/"} cellView="form" id="f2pSG_5desj0" outputId="2320a685-5064-4847-a451-4f6a63fd5c08" #@markdown Once the upload has finished, the data will appear in the Cloud Console storage browser for your project: print('https://console.cloud.google.com/storage/browser?project=' + project_id) # + [markdown] id="G3CbkJbofnhd" # ![Screenshot 2021-07-04 at 1.19.30 PM.png](data:image/png;base64,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) # + [markdown] id="l_09sm39e_cW" # ### Read # + colab={"base_uri": "https://localhost:8080/"} id="RxuND8cifAk0" outputId="3b00ae6d-dec2-4bcb-b96e-910b00bc9659" source_blob_name = 'test_api_folder/test_api_file.txt' destination_file_name = '/content/downloaded_test_api.txt' source_blob = bucket.blob(source_blob_name) source_blob.download_to_filename(destination_file_name) print("Blob {} downloaded to {}.".format(source_blob_name, destination_file_name)) # + colab={"base_uri": "https://localhost:8080/"} id="O5JV7Z1BglJx" outputId="88a991db-84b8-4905-c433-4114099da681" # !cat /content/downloaded_test_api.txt # + [markdown] id="Irh3VwbNh1Nt" # To easily download all objects in a bucket or subdirectory, use the `gsutil cp` command. # + [markdown] id="2omE4Q_6h-66" # ### Update # + [markdown] id="Lgrro0CSiCT-" # **Updating a file/object** # Its simply overwriting the existing copy of the object. # + id="jz5vR3VEh_2P" with open('/tmp/test_api_folder/test_api_file.txt', 'a') as f: f.write(' this is an appended string') # + colab={"base_uri": "https://localhost:8080/"} id="FlZDLluViTeR" outputId="eacea1c0-b6a5-4751-d31f-cad280077cc0" source_file_name = '/tmp/test_api_folder/test_api_file.txt' destination_blob_name = 'test_api_folder/test_api_file.txt' destination_file_name = '/content/downloaded_test_api.txt' blob = bucket.blob(destination_blob_name) blob.upload_from_filename(source_file_name) print("File {} uploaded to {}.".format(source_file_name, destination_blob_name)) blob.download_to_filename(destination_file_name) print("Blob {} downloaded to {}.".format(destination_blob_name, destination_file_name)) # + colab={"base_uri": "https://localhost:8080/"} id="hpv-JEM9jKnT" outputId="ba8988ab-0aee-49e3-9043-9db78aa2ca4c" # !cat /content/downloaded_test_api.txt # + [markdown] id="2AbCVPfRmAKk" # ### Delete # + [markdown] id="-XHFXFbzmX9M" # objects can be deleted easily by using `blob.delete()` # # When a folder is empty it will be vanished. # + colab={"base_uri": "https://localhost:8080/"} id="wrgfh17umBeC" outputId="271a7c0f-e3f8-48db-94ee-a62975cc92d1" blob_name = 'test_api_folder/test_api_file.txt' blob = bucket.blob(blob_name) blob.delete() print("Blob {} deleted.".format(blob_name)) # + id="EFrBUG5rnAkW" # !gsutil ls gs://{bucket_name} # + [markdown] id="hkbPZ07sngkt" # **Deleting a bucket** # + colab={"base_uri": "https://localhost:8080/"} id="3eSTtMKJni8-" outputId="44071eba-47f7-4238-b27d-fb15a6c70992" bucket.delete() print("Bucket {} deleted".format(bucket.name)) # + [markdown] id="HIuuu5gasoLz" # ## Using **gcsfuse**(mount) and bash # + [markdown] id="CX7frgOTtAcp" # Another way is to mount the GCS bucket to the current session of colab and you can make any regular(CRUD) operations using bash commands(just like on any other directory) # + [markdown] id="gUdhebc0tjYE" # In order to use this, you should first create a bucket you can do this using any of the methods described above) # # `gsutil mb` is used here # + [markdown] id="VYcyFs4Os5pq" # ### Create # + colab={"base_uri": "https://localhost:8080/"} id="DfpQ2rAKss_Z" outputId="6cfff41c-6842-4a89-a1b3-10474f712692" import uuid bucket_name = 'colab-sample-bucket-' + str(uuid.uuid1()) # !gsutil mb gs://{bucket_name} # + [markdown] id="j8SsQz8lvUXd" # Mounting the bucket to `/content/{bucket_name}` # + colab={"base_uri": "https://localhost:8080/"} id="Y8QR1wEut_bJ" outputId="f142b1a3-0310-4914-9256-6017446a9f4b" # !echo "deb http://packages.cloud.google.com/apt gcsfuse-bionic main" > /etc/apt/sources.list.d/gcsfuse.list # !curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add - # !apt -qq update # !apt -qq install gcsfuse # !mkdir $bucket_name # !gcsfuse $bucket_name /content/$bucket_name # + colab={"base_uri": "https://localhost:8080/"} id="Wcr20Zy6ls9h" outputId="5d3962b4-8694-459f-c7d0-6078880d5ea0" # cd /content/$bucket_name # + [markdown] id="8bcCpWcPvjtj" # Creating a folder # + id="--aHr0Ezvg17" # !mkdir test_mount_folder # + [markdown] id="8rQ6Ruvuvljo" # Creating a file/object in the folder just created. # + id="qKAuXZJDvg17" with open('./test_mount_folder/test_mount_file.txt', 'w') as f: f.write('this file get saved in the test_folder you just created') # + colab={"base_uri": "https://localhost:8080/"} cellView="form" id="6ok4bP_Jv0Q3" outputId="04b43a21-0c83-45a8-fa8a-e26d0a135c22" #@markdown Once the upload has finished, the data will appear in the Cloud Console storage browser for your project: print('https://console.cloud.google.com/storage/browser?project=' + project_id) # + [markdown] id="JBoocsoevrOr" # ![](https://drive.google.com/uc?export=view&id=18NBm0ulEE3TzZXnvXL1IKgrEKQQQQX6s) # # + [markdown] id="yzM8kmQ_x8s1" # ### Read # + [markdown] id="lN-R_zQCyFtZ" # As the bucket is already mounted you can just access files by opening them using `files` or just double clicking the file # + colab={"base_uri": "https://localhost:8080/", "height": 17} id="7NJjY7elyR_R" outputId="a98b30a9-d24e-4760-9a87-dd9a4e7e1239" from google.colab import files files.view(f'/content/{bucket_name}/test_mount_folder/test_mount_file.txt') # + colab={"base_uri": "https://localhost:8080/"} id="WC4Mefwm4HqQ" outputId="30e4f5a0-075c-4289-9faf-e61949480877" # !cat ./test_mount_folder/test_mount_file.txt # + [markdown] id="bF58Tss40mwM" # ### Update # + [markdown] id="UP53crun0qqA" # **Update to file** # # Update can be done normally either by editing or by using python. # + colab={"base_uri": "https://localhost:8080/", "height": 17} id="-76UMSyU0oHQ" outputId="20e30678-e3e5-44bc-e938-d7bc54e6e18b" with open('./test_mount_folder/test_mount_file.txt', 'a') as f: f.write(' this new string is added later') files.view(f'/content/{bucket_name}/test_mount_folder/test_mount_file.txt') # + [markdown] id="lZ22hqhw3MYN" # **Update to folder** # # New files can be added either by colab's UI or by using python or any other way that works for regular dirs. # + id="206vm7Zn3Ypc" # !echo "this is a second file to test_folder in the bucket" >> ./test_mount_folder/test_mount_file2.txt # + [markdown] id="8REcIGt26XJl" # ![](https://drive.google.com/uc?export=view&id=1-3V0sKY2nUfalhERPbyrlD74BKz_IlGy) # + colab={"base_uri": "https://localhost:8080/"} id="GVPkAEOU4qF0" outputId="f385fe6b-7ebf-4e6c-c052-badb1d66f236" # !cat ./test_mount_folder/test_mount_file2.txt # + [markdown] id="8NBwWlh56eU-" # ### Delete # + [markdown] id="ihlvf3An6f3_" # `rm` cmd can be used to delete the objects of the bucket using the mounted path. # + [markdown] id="YOa2T5Q26mmJ" # **Deleting the file** `{bucket_name}/test_mount_folder/test_mount_file.txt` # + id="DpOZmA2X6mOX" # !rm ./test_mount_folder/test_mount_file.txt # + [markdown] id="WrJLoQtO74zA" # ![](https://drive.google.com/uc?export=view&id=1fmOv3KIf0p0i2WnjYdfoHPrD8X_q8INd) # + [markdown] id="aTeSnjYk8j2S" # to delete the folder we can sue `rm -r` or `-rm -rf` to force remove # + id="ApMpAjO89ee6" # !rm -r ./test_mount_folder # + [markdown] id="2pGeyk_I-SOA" # ![](https://drive.google.com/uc?export=view&id=1oOzo9geZswQw8toOsI-_u8y6y2M_KCQF) # + [markdown] id="OlcvnBXW-ash" # **Deleting a bucket** # + [markdown] id="2A9c75-3_NTN" # you can't delete a bucekt using gcsfuse, but you can unmount the mounted path and then can delete using any of the above mentioned ways. # + [markdown] id="HlvPxsWi_gZm" # **Unmount the bucket** # # After unmounting, any changes in the local path will not be rendered in the cloud bucket. # + colab={"base_uri": "https://localhost:8080/"} id="L-Qcjzsf_o7P" outputId="81f14f30-6259-47a1-924a-634d820e230f" # cd .. # + id="WiWO6iZh-ZBi" # !fusermount -u /content/$bucket_name # + [markdown] id="BnF8R1qcAdDS" # deleting the bucket using gsutil. # + colab={"base_uri": "https://localhost:8080/"} id="H6iUe65CAarl" outputId="8cb9f933-e119-45fd-b578-44c020605608" # !gsutil rb gs://{bucket_name} # + [markdown] id="uDiTPyYgnujI" # ## Using GC **UI** # + [markdown] id="Bf7gyYKvnzQb" # Bucketa can be also be accessed directly through Gcloud Consoles's UI. # + colab={"height": 34} cellView="form" id="99BIoSOsW4Q_" outputId="97b483ac-c2b1-46f0-f4ac-61b3701a8c89" #@markdown Go to your project's browser: print('https://console.cloud.google.com/storage/browser?project=' + project_id) # + [markdown] id="BlIUgp0VqeJb" # ### Create # + [markdown] id="3aBDvOSWqihY" # Bucket can be created in the following way. # + colab={"base_uri": "https://localhost:8080/", "height": 35} id="BCTNyAEwqe5l" outputId="7754c801-c69a-41d1-8a44-f464fe4a873e" # Pick a bucket name, they should be unique, # for the demo purpose we can create a bucket name in this way import uuid bucket_name = 'colab-sample-bucket-' + str(uuid.uuid1()) bucket_name # + [markdown] id="pyanZVFysdw-" # * In the Storage browser, click `CREATE BUCKET` # # ![](https://drive.google.com/uc?export=view&id=1SfvPm3xxfBk6kytNqLr2uywps1Ij6oFi) # # * Fill in the name of the bucket,as it is a sample bucket, other configs can be left as default # ![](https://drive.google.com/uc?export=view&id=1yF6o0eeLt1V135IZmRgF5SRM9aISSYOd) # + [markdown] id="YOO_qas9Qeow" # * To create a folder, click `CREATE FOLDER` in the corresponding bucket's page. # ![](https://drive.google.com/uc?export=view&id=1xmGMmZ4F857S6DLYEE6EDn4XwEMI5f4W) # * To upload files files to this folder, you can use `UPLOAD FILES` # ![](https://drive.google.com/uc?export=view&id=1SfK8nulJi76b_hGUIAnIyZlPjDhGlM8J) # # ![](https://drive.google.com/uc?export=view&id=1ejYpEb-WCGiGUu2OXu52ehwZdEDYral0) # # # + [markdown] id="BsKQ0OupTF_r" # ### Read # + [markdown] id="WRfbR_A046yO" # * Files cannot be read directly using UI,but their metadata and permissions can be viewed # # # + [markdown] id="EEo93-YD54Lh" # ![](https://drive.google.com/uc?export=view&id=1Jrw-Oyr4c18OwnoV1HrA_Od6jpDQqyjv) # + [markdown] id="XBvCtz2VTHUz" # * Through UI we can download the files easily through `DOWNLOAD` button after choosing the needed object # ![](https://drive.google.com/uc?export=view&id=1gfwY3UyHw8sscaaDeulTBMH8p3PrzXvS) # # + [markdown] id="Q9FrPJlhUZTp" # ### Update # + [markdown] id="ie_FnQ5rUbzH" # To update the bucket, we can upload files through `UPLOAD FILES` button at a given path. # # ![](https://drive.google.com/uc?export=view&id=1f7lU_fS5CbA9Q_cBLdLHwLsNkuf2PyYm) # # + [markdown] id="1dowxoCTVK0d" # ### Delete # + [markdown] id="VCxkEOtaWHUY" # * To delete any object in the bucket, we can use `DELETE` option. # ![](https://drive.google.com/uc?export=view&id=1mVDIXBSuwb5r00WHNS4L3bChP1Ah3bgI) # # * To delete the bucket, go back to the your project's browser and select the checkbox of the bucket you want to delete and click `DELETE`. # # ![](https://drive.google.com/uc?export=view&id=1Zhiu8rJEpTNFX3cYeC_2swVlkw22l2sN)
import abc class BaseRepository: @abc.abstractmethod def init(self): pass @abc.abstractmethod def check(self): pass @abc.abstractmethod def eraise(self): pass @abc.abstractmethod def commit(self): pass @abc.abstractmethod def write_tags(self, tags: list): pass @abc.abstractmethod def write_types(self, types: list): pass @abc.abstractmethod def write_langs(self, langs: list): pass @abc.abstractmethod def write_networks(self, networks: list): pass @abc.abstractmethod def write_resources(self, resources: list): pass @abc.abstractmethod def write_descriptions(self, resources_id: int, descriptions: list): pass @abc.abstractmethod def write_description(self, resources_id: int, description: str): pass @abc.abstractmethod def write_resources_tags(self, resources_id: int, tags: list): pass @abc.abstractmethod def read_networks(self): pass @abc.abstractmethod def read_langs(self, network_id: int): pass @abc.abstractmethod def read_types(self, network_id: int, lang_id: int): pass @abc.abstractmethod def read_tags(self, network_id: int, lang_id: int, type_id: int): pass @abc.abstractmethod def read_resources(self, network_id=0, lang_id=0, type_id=0, tags_id=0): pass @abc.abstractmethod def read_resource(self, resource_id: int): pass @abc.abstractmethod def get_resources_id_by_name(self, name: str): pass @abc.abstractmethod def read_descriptions(self, resources_id: int): pass @abc.abstractmethod def get_network_id_by_name(self, name: str): pass @abc.abstractmethod def get_lang_id_by_name(self, name: str): pass @abc.abstractmethod def get_type_id_by_name(self, name: str): pass @abc.abstractmethod def get_resources(self): pass @abc.abstractmethod def get_resources_tags(self): pass @abc.abstractmethod def get_network_name_by_id(self, network_id: int): pass @abc.abstractmethod def get_lang_name_by_id(self, lang_id: int): pass @abc.abstractmethod def get_type_name_by_id(self, type_id: int): pass @abc.abstractmethod def get_tag_name_by_id(self, tags_id: int): pass @abc.abstractmethod def update_resources(self, resources_id: int, network_id: int, lang_id: int, type_id: int): pass @abc.abstractmethod def search_resources_by_url(self, url: str): pass @abc.abstractmethod def search_resources_by_description(self, description: str): pass
from django import forms # Form takes in input URLs from the user for the website whose articles they want to see. class URLForm(forms.Form): url1 = forms.URLField(initial="https://bbc.co.uk") url2 = forms.URLField(initial="https://apnews.com") url3 = forms.URLField(initial="https://reuters.com")
# Print the following pattern lastNumber = 6 for row in range(1, lastNumber): for column in range(1, row+1): # end=" " is for space, only comma will new line print(column, end=" ") print(" ") # print with black string means newline
import re from functools import partial from django.contrib.auth.models import BaseUserManager generate_random = partial(BaseUserManager.make_random_password.im_func, None) def string_to_css_class(string): 'Convert a string to a format useful for use as a css class.' if not string: return '' return string.lower().replace(' ', '_').replace('.', '_').replace('[', '_').replace(']', '_') def possessive(str): if not str: return '' if str[-1] == 's': return "%s'" % str else: return "%s's" % str def truncate(s, length=300, continuation="..."): if s: return (s[:length - len(continuation)] + continuation) if len(s) > length else s else: return "" # Stolen from https://github.com/mitsuhiko/jinja2/blob/7d268bef0e8f3f12c0acb90f30d67726a3e3f261/jinja2/filters.py # since there hasn't been a real release. When jinja2 goes to 2.7 we can delete this # https://github.com/mitsuhiko/jinja2/pull/59 def do_filesizeformat(value, binary=False): """Format the value like a 'human-readable' file size (i.e. 13 kB, 4.1 MB, 102 Bytes, etc). Per default decimal prefixes are used (Mega, Giga, etc.), if the second parameter is set to `True` the binary prefixes are used (Mebi, Gibi). """ bytes = float(value) base = binary and 1024 or 1000 prefixes = [ (binary and 'KiB' or 'kB'), (binary and 'MiB' or 'MB'), (binary and 'GiB' or 'GB'), (binary and 'TiB' or 'TB'), (binary and 'PiB' or 'PB'), (binary and 'EiB' or 'EB'), (binary and 'ZiB' or 'ZB'), (binary and 'YiB' or 'YB') ] if bytes == 1: return '1 Byte' elif bytes < base: return '%d Bytes' % bytes else: for i, prefix in enumerate(prefixes): unit = base ** (i + 2) if bytes < unit: return '%.1f %s' % ((base * bytes / unit), prefix) return '%.1f %s' % ((base * bytes / unit), prefix) def camelcase_to_underscore(s): # stolen from http://stackoverflow.com/a/1176023 s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', s) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()
from django.template.loader import render_to_string from django.utils.html import format_html from cms.app_base import CMSAppConfig, CMSAppExtension from djangocms_alias.models import AliasContent from djangocms_versioning.constants import DRAFT from djangocms_version_locking.helpers import version_is_locked def add_alias_version_lock(obj, field): version = obj.versions.all()[0] lock_icon = "" if version.state == DRAFT and version_is_locked(version): lock_icon = render_to_string("djangocms_version_locking/admin/locked_mixin_icon.html") return format_html( "{is_locked}{field_value}", is_locked=lock_icon, field_value=getattr(obj, field), ) class VersionLockingCMSExtension(CMSAppExtension): def __init__(self): # The monkey patch is here to be sure that at module load time the Version class # is registered and can be overriden without requiring a strict load order # in the INSTALLED_APPS setting in a projects settings.py. This is why this patch # Isn't loaded from: VersionLockingConfig.ready from .monkeypatch import admin as monkeypatch_admin # noqa: F401 def configure_app(self, cms_config): pass class VersionLockingCMSAppConfig(CMSAppConfig): djangocms_versioning_enabled = True versioning = [] extended_admin_field_modifiers = [{AliasContent: {"name": add_alias_version_lock}}, ]
# -*- coding: utf-8 -*- """ /*************************************************************************** LithicEdgeWear A QGIS plugin This plugin quantifies lithic edge wear ------------------- begin : 2017-10-30 git sha : $Format:%H$ copyright : (C) 2017 by Nick Waber email : nwaber@gmail.com ***************************************************************************/ /*************************************************************************** * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * ***************************************************************************/ """ from PyQt4.QtCore import QSettings, QTranslator, qVersion, QCoreApplication from PyQt4.QtGui import QAction, QIcon # Initialize Qt resources from file resources.py import resources # Import the code for the dialog from lithic_edge_wear_dialog import LithicEdgeWearDialog import os.path class LithicEdgeWear: """QGIS Plugin Implementation.""" def __init__(self, iface): """Constructor. :param iface: An interface instance that will be passed to this class which provides the hook by which you can manipulate the QGIS application at run time. :type iface: QgsInterface """ # Save reference to the QGIS interface self.iface = iface # initialize plugin directory self.plugin_dir = os.path.dirname(__file__) # initialize locale locale = QSettings().value('locale/userLocale')[0:2] locale_path = os.path.join( self.plugin_dir, 'i18n', 'LithicEdgeWear_{}.qm'.format(locale)) if os.path.exists(locale_path): self.translator = QTranslator() self.translator.load(locale_path) if qVersion() > '4.3.3': QCoreApplication.installTranslator(self.translator) # Declare instance attributes self.actions = [] self.menu = self.tr(u'&Lithic Edge Wear') # TODO: We are going to let the user set this up in a future iteration self.toolbar = self.iface.addToolBar(u'LithicEdgeWear') self.toolbar.setObjectName(u'LithicEdgeWear') # noinspection PyMethodMayBeStatic def tr(self, message): """Get the translation for a string using Qt translation API. We implement this ourselves since we do not inherit QObject. :param message: String for translation. :type message: str, QString :returns: Translated version of message. :rtype: QString """ # noinspection PyTypeChecker,PyArgumentList,PyCallByClass return QCoreApplication.translate('LithicEdgeWear', message) def add_action( self, icon_path, text, callback, enabled_flag=True, add_to_menu=True, add_to_toolbar=True, status_tip=None, whats_this=None, parent=None): """Add a toolbar icon to the toolbar. :param icon_path: Path to the icon for this action. Can be a resource path (e.g. ':/plugins/foo/bar.png') or a normal file system path. :type icon_path: str :param text: Text that should be shown in menu items for this action. :type text: str :param callback: Function to be called when the action is triggered. :type callback: function :param enabled_flag: A flag indicating if the action should be enabled by default. Defaults to True. :type enabled_flag: bool :param add_to_menu: Flag indicating whether the action should also be added to the menu. Defaults to True. :type add_to_menu: bool :param add_to_toolbar: Flag indicating whether the action should also be added to the toolbar. Defaults to True. :type add_to_toolbar: bool :param status_tip: Optional text to show in a popup when mouse pointer hovers over the action. :type status_tip: str :param parent: Parent widget for the new action. Defaults None. :type parent: QWidget :param whats_this: Optional text to show in the status bar when the mouse pointer hovers over the action. :returns: The action that was created. Note that the action is also added to self.actions list. :rtype: QAction """ # Create the dialog (after translation) and keep reference self.dlg = LithicEdgeWearDialog() icon = QIcon(icon_path) action = QAction(icon, text, parent) action.triggered.connect(callback) action.setEnabled(enabled_flag) if status_tip is not None: action.setStatusTip(status_tip) if whats_this is not None: action.setWhatsThis(whats_this) if add_to_toolbar: self.toolbar.addAction(action) if add_to_menu: self.iface.addPluginToMenu( self.menu, action) self.actions.append(action) return action def initGui(self): """Create the menu entries and toolbar icons inside the QGIS GUI.""" icon_path = ':/plugins/LithicEdgeWear/icon.png' self.add_action( icon_path, text=self.tr(u'Lithic Edge Wear'), callback=self.run, parent=self.iface.mainWindow()) def unload(self): """Removes the plugin menu item and icon from QGIS GUI.""" for action in self.actions: self.iface.removePluginMenu( self.tr(u'&Lithic Edge Wear'), action) self.iface.removeToolBarIcon(action) # remove the toolbar del self.toolbar def run(self): """Run method that performs all the real work""" # show the dialog self.dlg.show() # Run the dialog event loop import processing #need this so processing algs can be used #fresh MB surface self.dlg.comboBox.clear() #worn MB surface self.dlg.comboBox_2.clear() #fresh MB perimeter self.dlg.comboBox_3.clear() #worn MB perimeter self.dlg.comboBox_4.clear() #spin box for threshold layers = self.iface.legendInterface().layers() layer_list = [] for layer in layers: layer_list.append(layer.name()) self.dlg.comboBox.addItems(layer_list) self.dlg.comboBox_2.addItems(layer_list) self.dlg.comboBox_3.addItems(layer_list) self.dlg.comboBox_4.addItems(layer_list) self.dlg.doubleSpinBox.clear() #start with no value in spin box result = self.dlg.exec_() # See if OK was pressed if result: # Identify selected layer by its index selectedLayer1Index = self.dlg.comboBox.currentIndex() # use the layer currently in the comboBox selectedLayer1 = layers[selectedLayer1Index].name() selectedLayer2Index = self.dlg.comboBox_2.currentIndex() selectedLayer2 = layers[selectedLayer2Index].name() selectedLayer3Index = self.dlg.comboBox_3.currentIndex() selectedLayer3 = layers[selectedLayer3Index].name() selectedLayer4Index = self.dlg.comboBox_4.currentIndex() selectedLayer4 = layers[selectedLayer4Index].name() freshSurface = selectedLayer1 wornSurface = selectedLayer2 freshPerim = selectedLayer3 wornPerim = selectedLayer4 #coords in case needed for GRASS7 module extents (uncomment) #ext = layers[selectedLayer1Index].extent() #xmin = ext.xMinimum() #xmax = ext.xMaximum() #ymin = ext.yMinimum() #ymax = ext.yMaximum() #coords = "%f,%f,%f,%f" %(xmin, xmax, ymin, ymax) # this is a string that stores the coordinate #subtract the worn surface from the unworn surface processing.runalg("saga:rastercalculator",freshSurface,wornSurface,"a-b",0,False,7,"differenceRaster1") #basic worn surface processing.runalg('saga:convertlinestopolygons', freshPerim,"freshPoly") #create unworn polygon processing.runalg('saga:convertlinestopolygons', wornPerim,"wornPoly") #create worn polygon processing.runalg("saga:difference","freshPoly.shp","wornPoly.shp",True,"lostPoly") #create lost material polygon processing.runalg('saga:clipgridwithpolygon', "differenceRaster1","wornPoly.shp",0,"differenceRaster2") #clean up difference raster edges with worn surface polygon processing.runalg('saga:clipgridwithpolygon', freshSurface,"lostPoly.shp",0,"lostMaterial") #clip fresh surface with total wear polygon processing.runalg("gdalogr:merge","differenceRaster2;lostMaterial",False,False,-9999,5,'mergedWear') #merge wear surface with clipped lostMaterial surface processing.runalg("saga:rastercalculator",freshSurface,"mergedWear","b/a",0,False,7,"differenceIndex1") #raw wear index processing.runalg("saga:rastercalculator","differenceIndex1",None,"ifelse( a>1,1,a)",0,False,7,"differenceIndex2") #wear index max = 1 processing.runalg("saga:rastercalculator","differenceIndex2",None,"ifelse( a<0,0,a)",0,False,7,"differenceIndex3") #wear index min = 0 processing.runalg("saga:rastercalculator","mergedWear",None,"ifelse( a>0,a,0)",0,False,7,"wearVolume") #create wear volume raster self.iface.addRasterLayer("differenceIndex3", "Wear index") #load Wear Index layer self.iface.addRasterLayer("wearVolume", "Wear volume") #load Wear Volume layer #Create binary wear mapper based on lineEdit threshold #thresh = float( self.dlg.doubleSpinBox.value()) #processing.runalg("saga:rastercalculator","differenceIndex3",None,"ifelse( a>0.15,1,0)",0,False,7,"wearBinary") #wear index min = 0 #processing.runalg("gdalogr:polygonize","wearBinary","DN","wearBinaryPoly") #processing.runalg("qgis:selectbyattribute","wearBinaryPoly","DN",0,"1") #processing.runandload("qgis:saveselectedfeatures","wearBinaryPoly","wornArea") #print(thresh) #for debugging lineEdit.value()
from .paddings import ZeroPadding, Pkcs7Padding from .rijndael import Rijndael, RijndaelCbc __version__ = '0.3.3'
from net_models.fields import GENERIC_OBJECT_NAME, PRIVILEGE_LEVEL, AAA_METHOD_NAME from net_models.models.BaseModels import BaseNetModel, VendorIndependentBaseModel from pydantic import root_validator from pydantic.types import PositiveInt from pydantic.typing import Optional, List, Literal, Union def enable_action_prohibited(cls, values): return values class IosAaaBase(VendorIndependentBaseModel): pass class IosAaaAction(IosAaaBase): action: Literal["local", "local-case", "none", "group", "enable"] group: Optional[Union[Literal["radius", "tacacs+"], GENERIC_OBJECT_NAME]] @root_validator(allow_reuse=True) def verify_group_present(cls, values): if values.get("action") == "group": if values.get("group") is None: msg = f"When action == 'group', group is required." raise AssertionError(msg) else: if values.get("group") is not None: msg = f"Unless action == 'group', group must be None." raise AssertionError(msg) return values class IosAaaMethodBase(IosAaaBase): name: AAA_METHOD_NAME action_list: List[IosAaaAction] class IosAaaAuthenticationMethod(IosAaaMethodBase): pass class IosAaaAuthentication(IosAaaBase): login: Optional[List[IosAaaAuthenticationMethod]] enable: Optional[List[IosAaaAuthenticationMethod]] dot1x: Optional[List[IosAaaAuthenticationMethod]] class IosAaaAuthorizationMethod(IosAaaMethodBase): if_authenticated: Optional[bool] class IosAaaAuthorizationCommands(IosAaaAuthorizationMethod): level: PRIVILEGE_LEVEL class IosAaaAuthorization(IosAaaBase): exec: Optional[List[IosAaaAuthorizationMethod]] commands: Optional[List[IosAaaAuthorizationCommands]] network: Optional[List[IosAaaAuthorizationMethod]] authorize_console: Optional[bool] authorize_config_commands: Optional[bool] class IosAaaAccountingAction(IosAaaAction): action: Literal["none", "group"] broadcast: Optional[bool] @root_validator(allow_reuse=True) def validate_broadcast(cls, values): if values.get("action") == "none": if values.get("broadcast") not in [None, False]: msg = f"If action == 'none', broadcast can only be in [None, False]." raise AssertionError(msg) return values class IosAaaAccountingMethod(IosAaaMethodBase): action_list: Optional[List[IosAaaAccountingAction]] record: Literal["none", "start-stop", "stop-only"] @root_validator(allow_reuse=True) def validate_action_list(cls, values): record = values.get("record") if record == 'none': # action_list must be None if values.get("action_list") is not None: msg = f"If record == 'none', action_list must be None." raise AssertionError(msg) else: if values.get("action_list") is None: msg = f"Unless record == 'none', action_list cannot be None." raise AssertionError(msg) return values class IosAaaAccountingCommands(IosAaaAccountingMethod): level: PRIVILEGE_LEVEL class IosAaaAccounting(IosAaaBase): exec: Optional[List[IosAaaAccountingMethod]] commands: Optional[List[IosAaaAccountingCommands]] visible_keys: Optional[bool] class IosAaaConfig(IosAaaBase): authentication: Optional[IosAaaAuthentication] authorization: Optional[IosAaaAuthorization] accounting: Optional[IosAaaAccounting] class IosAaaLineCommands(BaseNetModel): name: GENERIC_OBJECT_NAME """Name of the AAA method""" level: PRIVILEGE_LEVEL """Privilege level""" class IosAaaLineAuthorization(BaseNetModel): exec: Optional[AAA_METHOD_NAME] """Name of the authorization exec method""" commands: Optional[List[IosAaaLineCommands]] """List of Line Commands Authorization Models""" class IosAaaLineAccounting(BaseNetModel): exec: Optional[AAA_METHOD_NAME] """Name of the accounting exec method""" commands: Optional[List[IosAaaLineCommands]] """List of Line Commands Accounting Models""" class IosLineAaaConfig(BaseNetModel): authentication: Optional[AAA_METHOD_NAME] """Name of the authentication login method""" authorization: Optional[IosAaaLineAuthorization] """Line Authorization Model""" accounting: Optional[IosAaaLineAuthorization] """Line Accounting Model""" class IosAaaConfig(BaseNetModel): authentication: Optional[IosAaaAuthentication] authorization: Optional[IosAaaAuthorization] accounting: Optional[IosAaaAccounting]
import datetime import numpy as np import pandas as pd import tkinter as tk from selenium import webdriver from typing import List, Dict, Any from .classWidget import Widget from .classLogger import Logger from .classSettings import Settings logger = Logger(__name__, Settings.LOGGER) class WidgetBins(Widget): def __init__(self, widgetName: str, cronSyntax: str, priority: int, pane: str, slotNumber: int, config: Dict[str, Any]) -> None: super().__init__(widgetName, cronSyntax, priority, pane, slotNumber, config) def update(self) -> None: # update output data chrome_options: webdriver.ChromeOptions = webdriver.ChromeOptions() chrome_options.headless = True self.driver: webdriver.Chrome = webdriver.Chrome(chrome_options=chrome_options) self.driver.get(self.config["baseUrl"]) self.driver.find_element_by_id("txtLookupPostCode").send_keys(self.config["postCode"]) self.driver.find_element_by_id("btnAddressLookup").click() # select a different address?? self.driver.find_element_by_name("waste_collection_getData").submit() table = self.driver.find_element_by_id("RetrieveAllDataGrid") rows = table.find_elements_by_tag_name("tr") data: List[List[str]] = [[x.text for x in y.find_elements_by_tag_name("td")] for y in rows] self.driver.quit() df: pd.DataFrame = pd.DataFrame(data) df.columns = df.iloc[0] df = df[1:] df["Due dates"] = df["Due dates"].str.split("\n") df_tall: pd.DataFrame = df.explode("Due dates", ignore_index=True) df_tall = df_tall.rename({"Container type": "bin"}, axis=1) df_tall = df_tall.loc[lambda df: df["bin"].isin(self.config["binsOfInterest"])] df_tall["dateNext"] = pd.to_datetime(df_tall["Due dates"], format="%d/%m/%y") df_tall["frequencyDays"] = np.select( condlist=[ df_tall["Frequency"] == "ONCE WEEKLY", df_tall["Frequency"] == "FORTNIGHTLY" ], choicelist=[ pd.DateOffset(days=7), pd.DateOffset(days=14) ]) df_tall["dateAfter"] = df_tall["dateNext"] + df_tall["frequencyDays"] df_tall["daysNext"] = (df_tall["dateNext"] - pd.to_datetime(datetime.date.today())).dt.days df_tall["daysNext"] = df_tall["daysNext"].astype(str) + " days" df_tall["daysNext"] = df_tall["daysNext"].replace({"0 days": "This morning", "1 days": "Tomorrow morning"}) df_tall["bin"] = df_tall["bin"].str.replace(" WHEELIE BIN", "") df_tall = df_tall.reset_index(drop=True) df_tall = df_tall[["bin", "dateNext", "daysNext", "dateAfter"]] df_summary: pd.DataFrame = df_tall.groupby("bin").first().reset_index() df_summary = df_summary.sort_values(["dateNext", "bin"]) df_summary = df_summary.drop(["dateNext"], axis=1) df_summary = df_summary.rename({ "daysNext": "Next Collection", "dateAfter": "Collection Afterwards" }, axis=1) bin_colour = df_summary.loc[lambda df: df["bin"] != "FOOD BOX"].iloc[0]["bin"].split(" ")[0] self.output = (df_summary, bin_colour) logger.info(f"updated widget {self.widgetName} at: {datetime.datetime.now()}") def generateHtml(self) -> None: # get dataframe html: str = self.output[0].to_html(index=False) html = html.replace("<th></th>", "") # # get colour box # if self.output[1].lower() == "blue": # html += """\n<div style="height:10 width:100 color:blue;"></div>""" # elif self.output[1].lower() == "black": # html += """<p>&#9633;</p>""" self.html: str = html