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#!/usr/bin/env python3
"""
Enhanced CLI Interface Module for DeepCode
ๅขๅผบ็CLI็้ขๆจกๅ - ไธไธบDeepCode่ฎพ่ฎก
"""
import os
import time
import platform
from typing import Optional
class Colors:
"""ANSI color codes for terminal styling"""
HEADER = "\033[95m"
OKBLUE = "\033[94m"
OKCYAN = "\033[96m"
OKGREEN = "\033[92m"
WARNING = "\033[93m"
FAIL = "\033[91m"
ENDC = "\033[0m"
BOLD = "\033[1m"
UNDERLINE = "\033[4m"
# Gradient colors
PURPLE = "\033[35m"
MAGENTA = "\033[95m"
BLUE = "\033[34m"
CYAN = "\033[36m"
GREEN = "\033[32m"
YELLOW = "\033[33m"
class CLIInterface:
"""Enhanced CLI interface with modern styling for DeepCode"""
def __init__(self):
self.uploaded_file = None
self.is_running = True
self.processing_history = []
self.enable_indexing = True # Default configuration
self.segmentation_enabled = True # Default to smart segmentation
self.segmentation_threshold = 50000 # Default threshold
# Check tkinter availability for file dialogs
self.tkinter_available = True
try:
import tkinter as tk
# Test if tkinter can create a window
test_root = tk.Tk()
test_root.withdraw()
test_root.destroy()
except Exception:
self.tkinter_available = False
def clear_screen(self):
"""Clear terminal screen"""
os.system("cls" if os.name == "nt" else "clear")
def print_logo(self):
"""Print enhanced ASCII logo for DeepCode CLI"""
logo = f"""
{Colors.CYAN}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ โ
โ {Colors.BOLD}{Colors.MAGENTA}โโโโโโโ โโโโโโโโโโโโโโโโโโโโโโโ โโโโโโโ โโโโโโโ โโโโโโโ โโโโโโโโ{Colors.CYAN} โ
โ {Colors.BOLD}{Colors.PURPLE}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.CYAN} โ
โ {Colors.BOLD}{Colors.BLUE}โโโ โโโโโโโโโ โโโโโโ โโโโโโโโโโโ โโโ โโโโโโ โโโโโโโโโ {Colors.CYAN} โ
โ {Colors.BOLD}{Colors.OKBLUE}โโโ โโโโโโโโโ โโโโโโ โโโโโโโ โโโ โโโ โโโโโโ โโโโโโโโโ {Colors.CYAN} โ
โ {Colors.BOLD}{Colors.OKCYAN}โโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.CYAN} โ
โ {Colors.BOLD}{Colors.GREEN}โโโโโโโ โโโโโโโโโโโโโโโโโโโ โโโโโโโ โโโโโโโ โโโโโโโ โโโโโโโโ{Colors.CYAN} โ
โ โ
โ {Colors.BOLD}{Colors.GREEN}๐งฌ OPEN-SOURCE CODE AGENT โข DATA INTELLIGENCE LAB @ HKU ๐ {Colors.CYAN}โ
โ {Colors.BOLD}{Colors.GREEN}โก REVOLUTIONIZING RESEARCH REPRODUCIBILITY โก {Colors.CYAN}โ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.ENDC}
"""
print(logo)
def print_welcome_banner(self):
"""Print enhanced welcome banner"""
banner = f"""
{Colors.BOLD}{Colors.CYAN}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ WELCOME TO DEEPCODE CLI โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ
โ {Colors.YELLOW}Open-Source Code Agent | Data Intelligence Lab @ HKU | MIT License {Colors.CYAN}โ
โ {Colors.GREEN}Status: Ready | Engine: Multi-Agent Architecture Initialized {Colors.CYAN}โ
โ {Colors.PURPLE}Mission: Revolutionizing Research Reproducibility {Colors.CYAN}โ
โ โ
โ {Colors.BOLD}{Colors.OKCYAN}๐ CORE CAPABILITIES:{Colors.ENDC} {Colors.CYAN}โ
โ {Colors.BOLD}{Colors.OKCYAN}โถ Automated Paper-to-Code Reproduction {Colors.CYAN}โ
โ {Colors.BOLD}{Colors.OKCYAN}โถ Collaborative Multi-Agent Architecture {Colors.CYAN}โ
โ {Colors.BOLD}{Colors.OKCYAN}โถ Intelligent Code Implementation & Validation {Colors.CYAN}โ
โ {Colors.BOLD}{Colors.OKCYAN}โถ Future Vision: One Sentence โ Complete Codebase {Colors.CYAN}โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.ENDC}
"""
print(banner)
def print_separator(self, char="โ", length=79, color=Colors.CYAN):
"""Print a styled separator line"""
print(f"{color}{char * length}{Colors.ENDC}")
def print_status(self, message: str, status_type: str = "info"):
"""Print status message with appropriate styling"""
status_styles = {
"success": f"{Colors.OKGREEN}โ
",
"error": f"{Colors.FAIL}โ",
"warning": f"{Colors.WARNING}โ ๏ธ ",
"info": f"{Colors.OKBLUE}โน๏ธ ",
"processing": f"{Colors.YELLOW}โณ",
"upload": f"{Colors.PURPLE}๐",
"download": f"{Colors.CYAN}๐ฅ",
"analysis": f"{Colors.MAGENTA}๐",
"implementation": f"{Colors.GREEN}โ๏ธ ",
"complete": f"{Colors.OKGREEN}๐",
}
icon = status_styles.get(status_type, status_styles["info"])
timestamp = time.strftime("%H:%M:%S")
print(
f"[{Colors.BOLD}{timestamp}{Colors.ENDC}] {icon} {Colors.BOLD}{message}{Colors.ENDC}"
)
def create_menu(self):
"""Create enhanced interactive menu"""
# Display current configuration
pipeline_mode = "๐ง COMPREHENSIVE" if self.enable_indexing else "โก OPTIMIZED"
index_status = "โ
Enabled" if self.enable_indexing else "๐ถ Disabled"
segmentation_mode = (
"๐ SMART" if self.segmentation_enabled else "๐ TRADITIONAL"
)
menu = f"""
{Colors.BOLD}{Colors.CYAN}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ MAIN MENU โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ
โ {Colors.OKGREEN}๐ [U] Process URL {Colors.CYAN}โ {Colors.PURPLE}๐ [F] Upload File {Colors.CYAN}โ {Colors.MAGENTA}๐ฌ [T] Chat Input{Colors.CYAN} โ
โ {Colors.OKCYAN}โ๏ธ [C] Configure {Colors.CYAN}โ {Colors.YELLOW}๐ [H] History {Colors.CYAN}โ {Colors.FAIL}โ [Q] Quit{Colors.CYAN} โ
โ โ
โ {Colors.BOLD}๐ค Current Pipeline Mode: {pipeline_mode}{Colors.CYAN} โ
โ {Colors.BOLD}๐๏ธ Codebase Indexing: {index_status}{Colors.CYAN} โ
โ {Colors.BOLD}๐ Document Processing: {segmentation_mode}{Colors.CYAN} โ
โ โ
โ {Colors.YELLOW}๐ URL Processing:{Colors.CYAN} โ
โ {Colors.YELLOW} โถ Enter research paper URL (arXiv, IEEE, ACM, etc.) {Colors.CYAN}โ
โ {Colors.YELLOW} โถ Supports direct PDF links and academic paper pages {Colors.CYAN}โ
โ โ
โ {Colors.PURPLE}๐ File Processing:{Colors.CYAN} โ
โ {Colors.PURPLE} โถ Upload PDF, DOCX, PPTX, HTML, or TXT files {Colors.CYAN}โ
โ {Colors.PURPLE} โถ Intelligent file format detection and processing {Colors.CYAN}โ
โ โ
โ {Colors.MAGENTA}๐ฌ Chat Input:{Colors.CYAN} โ
โ {Colors.MAGENTA} โถ Describe your coding requirements in natural language {Colors.CYAN}โ
โ {Colors.MAGENTA} โถ AI generates implementation plan and code automatically {Colors.CYAN}โ
โ โ
โ {Colors.OKCYAN}๐ Processing Pipeline:{Colors.CYAN} โ
โ {Colors.OKCYAN} โถ Intelligent agent orchestration โ Code synthesis {Colors.CYAN}โ
โ {Colors.OKCYAN} โถ Multi-agent coordination with progress tracking {Colors.CYAN}โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.ENDC}
"""
print(menu)
def get_user_input(self):
"""Get user input with styled prompt"""
print(f"\n{Colors.BOLD}{Colors.OKCYAN}โค Your choice: {Colors.ENDC}", end="")
return input().strip().lower()
def upload_file_gui(self) -> Optional[str]:
"""Enhanced file upload interface with better error handling"""
if not self.tkinter_available:
self.print_status(
"GUI file dialog not available - using manual input", "warning"
)
return self._get_manual_file_path()
def select_file():
try:
import tkinter as tk
from tkinter import filedialog
root = tk.Tk()
root.withdraw()
root.attributes("-topmost", True)
file_types = [
("Research Papers", "*.pdf;*.docx;*.doc"),
("PDF Files", "*.pdf"),
("Word Documents", "*.docx;*.doc"),
("PowerPoint Files", "*.pptx;*.ppt"),
("HTML Files", "*.html;*.htm"),
("Text Files", "*.txt;*.md"),
("All Files", "*.*"),
]
if platform.system() == "Darwin":
file_types = [
("Research Papers", ".pdf .docx .doc"),
("PDF Files", ".pdf"),
("Word Documents", ".docx .doc"),
("PowerPoint Files", ".pptx .ppt"),
("HTML Files", ".html .htm"),
("Text Files", ".txt .md"),
("All Files", ".*"),
]
file_path = filedialog.askopenfilename(
title="Select Research File - DeepCode CLI",
filetypes=file_types,
initialdir=os.getcwd(),
)
root.destroy()
return file_path
except Exception as e:
self.print_status(f"File dialog error: {str(e)}", "error")
return self._get_manual_file_path()
self.print_status("Opening file browser dialog...", "upload")
file_path = select_file()
if file_path:
self.print_status(
f"File selected: {os.path.basename(file_path)}", "success"
)
return file_path
else:
self.print_status("No file selected", "warning")
return None
def _get_manual_file_path(self) -> Optional[str]:
"""Get file path through manual input with validation"""
self.print_separator("โ", 79, Colors.YELLOW)
print(f"{Colors.BOLD}{Colors.YELLOW}๐ Manual File Path Input{Colors.ENDC}")
print(
f"{Colors.CYAN}Please enter the full path to your research paper file:{Colors.ENDC}"
)
print(
f"{Colors.CYAN}Supported formats: PDF, DOCX, PPTX, HTML, TXT, MD{Colors.ENDC}"
)
self.print_separator("โ", 79, Colors.YELLOW)
while True:
print(f"\n{Colors.BOLD}{Colors.OKCYAN}๐ File path: {Colors.ENDC}", end="")
file_path = input().strip()
if not file_path:
self.print_status(
"Empty path entered. Please try again or press Ctrl+C to cancel.",
"warning",
)
continue
file_path = os.path.expanduser(file_path)
file_path = os.path.abspath(file_path)
if not os.path.exists(file_path):
self.print_status(f"File not found: {file_path}", "error")
retry = (
input(f"{Colors.YELLOW}Try again? (y/n): {Colors.ENDC}")
.strip()
.lower()
)
if retry != "y":
return None
continue
if not os.path.isfile(file_path):
self.print_status(f"Path is not a file: {file_path}", "error")
continue
supported_extensions = {
".pdf",
".docx",
".doc",
".pptx",
".ppt",
".html",
".htm",
".txt",
".md",
}
file_ext = os.path.splitext(file_path)[1].lower()
if file_ext not in supported_extensions:
self.print_status(f"Unsupported file format: {file_ext}", "warning")
proceed = (
input(f"{Colors.YELLOW}Process anyway? (y/n): {Colors.ENDC}")
.strip()
.lower()
)
if proceed != "y":
continue
self.print_status(
f"File validated: {os.path.basename(file_path)}", "success"
)
return file_path
def get_url_input(self) -> str:
"""Enhanced URL input with validation"""
self.print_separator("โ", 79, Colors.GREEN)
print(f"{Colors.BOLD}{Colors.GREEN}๐ URL Input Interface{Colors.ENDC}")
print(
f"{Colors.CYAN}Enter a research paper URL from supported platforms:{Colors.ENDC}"
)
print(
f"{Colors.CYAN}โข arXiv (arxiv.org) โข IEEE Xplore (ieeexplore.ieee.org){Colors.ENDC}"
)
print(
f"{Colors.CYAN}โข ACM Digital Library โข SpringerLink โข Nature โข Science{Colors.ENDC}"
)
print(
f"{Colors.CYAN}โข Direct PDF links โข Academic publisher websites{Colors.ENDC}"
)
self.print_separator("โ", 79, Colors.GREEN)
while True:
print(f"\n{Colors.BOLD}{Colors.OKCYAN}๐ URL: {Colors.ENDC}", end="")
url = input().strip()
if not url:
self.print_status(
"Empty URL entered. Please try again or press Ctrl+C to cancel.",
"warning",
)
continue
if not url.startswith(("http://", "https://")):
self.print_status("URL must start with http:// or https://", "error")
retry = (
input(f"{Colors.YELLOW}Try again? (y/n): {Colors.ENDC}")
.strip()
.lower()
)
if retry != "y":
return ""
continue
academic_domains = [
"arxiv.org",
"ieeexplore.ieee.org",
"dl.acm.org",
"link.springer.com",
"nature.com",
"science.org",
"scholar.google.com",
"researchgate.net",
"semanticscholar.org",
]
is_academic = any(domain in url.lower() for domain in academic_domains)
if not is_academic and not url.lower().endswith(".pdf"):
self.print_status(
"URL doesn't appear to be from a known academic platform", "warning"
)
proceed = (
input(f"{Colors.YELLOW}Process anyway? (y/n): {Colors.ENDC}")
.strip()
.lower()
)
if proceed != "y":
continue
self.print_status(f"URL validated: {url}", "success")
return url
def get_chat_input(self) -> str:
"""Enhanced chat input interface for coding requirements"""
self.print_separator("โ", 79, Colors.PURPLE)
print(f"{Colors.BOLD}{Colors.PURPLE}๐ฌ Chat Input Interface{Colors.ENDC}")
print(
f"{Colors.CYAN}Describe your coding requirements in natural language.{Colors.ENDC}"
)
print(
f"{Colors.CYAN}Our AI will analyze your needs and generate a comprehensive implementation plan.{Colors.ENDC}"
)
self.print_separator("โ", 79, Colors.PURPLE)
# Display examples to help users
print(f"\n{Colors.BOLD}{Colors.YELLOW}๐ก Examples:{Colors.ENDC}")
print(f"{Colors.CYAN}Academic Research:{Colors.ENDC}")
print(
" โข 'I need to implement a reinforcement learning algorithm for robotic control'"
)
print(
" โข 'Create a neural network for image classification with attention mechanisms'"
)
print(f"{Colors.CYAN}Engineering Projects:{Colors.ENDC}")
print(
" โข 'Develop a web application for project management with user authentication'"
)
print(" โข 'Create a data visualization dashboard for sales analytics'")
print(f"{Colors.CYAN}Mixed Projects:{Colors.ENDC}")
print(
" โข 'Implement a machine learning model with a web interface for real-time predictions'"
)
self.print_separator("โ", 79, Colors.PURPLE)
print(
f"\n{Colors.BOLD}{Colors.OKCYAN}โ๏ธ Enter your coding requirements below:{Colors.ENDC}"
)
print(
f"{Colors.YELLOW}(Type your description, press Enter twice when finished, or Ctrl+C to cancel){Colors.ENDC}"
)
lines = []
empty_line_count = 0
while True:
try:
if len(lines) == 0:
print(f"{Colors.BOLD}> {Colors.ENDC}", end="")
else:
print(f"{Colors.BOLD} {Colors.ENDC}", end="")
line = input()
if line.strip() == "":
empty_line_count += 1
if empty_line_count >= 2:
# Two consecutive empty lines means user finished input
break
lines.append("") # Keep empty line for formatting
else:
empty_line_count = 0
lines.append(line)
except KeyboardInterrupt:
print(f"\n{Colors.WARNING}Input cancelled by user{Colors.ENDC}")
return ""
# Join all lines and clean up
user_input = "\n".join(lines).strip()
if not user_input:
self.print_status("No input provided", "warning")
return ""
if len(user_input) < 20:
self.print_status(
"Input too short. Please provide more detailed requirements (at least 20 characters)",
"warning",
)
retry = (
input(f"{Colors.YELLOW}Try again? (y/n): {Colors.ENDC}").strip().lower()
)
if retry == "y":
return self.get_chat_input() # Recursive call for retry
return ""
# Display input summary
word_count = len(user_input.split())
char_count = len(user_input)
print(f"\n{Colors.BOLD}{Colors.GREEN}๐ Input Summary:{Colors.ENDC}")
print(f" โข {Colors.CYAN}Word count: {word_count}{Colors.ENDC}")
print(f" โข {Colors.CYAN}Character count: {char_count}{Colors.ENDC}")
# Show preview
preview = user_input[:200] + "..." if len(user_input) > 200 else user_input
print(f"\n{Colors.BOLD}{Colors.CYAN}๐ Preview:{Colors.ENDC}")
print(f"{Colors.YELLOW}{preview}{Colors.ENDC}")
# Confirm with user
confirm = (
input(
f"\n{Colors.BOLD}{Colors.OKCYAN}Proceed with this input? (y/n): {Colors.ENDC}"
)
.strip()
.lower()
)
if confirm != "y":
retry = (
input(f"{Colors.YELLOW}Edit input? (y/n): {Colors.ENDC}")
.strip()
.lower()
)
if retry == "y":
return self.get_chat_input() # Recursive call for retry
return ""
self.print_status(
f"Chat input captured: {word_count} words, {char_count} characters",
"success",
)
return user_input
def show_progress_bar(self, message: str, duration: float = 2.0):
"""Show animated progress bar"""
print(f"\n{Colors.BOLD}{Colors.CYAN}{message}{Colors.ENDC}")
bar_length = 50
for i in range(bar_length + 1):
percent = (i / bar_length) * 100
filled = "โ" * i
empty = "โ" * (bar_length - i)
print(
f"\r{Colors.OKGREEN}[{filled}{empty}] {percent:3.0f}%{Colors.ENDC}",
end="",
flush=True,
)
time.sleep(duration / bar_length)
print(f"\n{Colors.OKGREEN}โ {message} completed{Colors.ENDC}")
def show_spinner(self, message: str, duration: float = 1.0):
"""Show spinner animation"""
spinner_chars = "โ โ โ นโ ธโ ผโ ดโ ฆโ งโ โ "
end_time = time.time() + duration
print(
f"{Colors.BOLD}{Colors.CYAN}{message}... {Colors.ENDC}", end="", flush=True
)
i = 0
while time.time() < end_time:
print(
f"\r{Colors.BOLD}{Colors.CYAN}{message}... {Colors.YELLOW}{spinner_chars[i % len(spinner_chars)]}{Colors.ENDC}",
end="",
flush=True,
)
time.sleep(0.1)
i += 1
print(
f"\r{Colors.BOLD}{Colors.CYAN}{message}... {Colors.OKGREEN}โ{Colors.ENDC}"
)
def display_processing_stages(
self,
current_stage: int = 0,
enable_indexing: bool = True,
chat_mode: bool = False,
):
"""Display processing pipeline stages with current progress"""
if chat_mode:
# Chat mode - simplified workflow for user requirements
stages = [
("๐", "Initialize", "Setting up chat engine"),
("๐ฌ", "Planning", "Analyzing requirements"),
("๐๏ธ", "Setup", "Creating workspace"),
("๐", "Save Plan", "Saving implementation plan"),
("โ๏ธ", "Implement", "Generating code"),
]
pipeline_mode = "CHAT PLANNING"
elif enable_indexing:
# Full pipeline with all stages
stages = [
("๐", "Initialize", "Setting up AI engine"),
("๐", "Analyze", "Analyzing research content"),
("๐ฅ", "Download", "Processing document"),
("๐", "Plan", "Generating code architecture"),
("๐", "References", "Analyzing references"),
("๐ฆ", "Repos", "Downloading repositories"),
("๐๏ธ", "Index", "Building code index"),
("โ๏ธ", "Implement", "Implementing code"),
]
pipeline_mode = "COMPREHENSIVE"
else:
# Fast mode - skip indexing related stages
stages = [
("๐", "Initialize", "Setting up AI engine"),
("๐", "Analyze", "Analyzing research content"),
("๐ฅ", "Download", "Processing document"),
("๐", "Plan", "Generating code architecture"),
("โ๏ธ", "Implement", "Implementing code"),
]
pipeline_mode = "OPTIMIZED"
print(
f"\n{Colors.BOLD}{Colors.CYAN}๐ {pipeline_mode} PIPELINE STATUS{Colors.ENDC}"
)
self.print_separator("โ", 79, Colors.CYAN)
for i, (icon, name, desc) in enumerate(stages):
if i < current_stage:
status = f"{Colors.OKGREEN}โ COMPLETED{Colors.ENDC}"
elif i == current_stage:
status = f"{Colors.YELLOW}โณ IN PROGRESS{Colors.ENDC}"
else:
status = f"{Colors.CYAN}โธ๏ธ PENDING{Colors.ENDC}"
print(
f"{icon} {Colors.BOLD}{name:<12}{Colors.ENDC} โ {desc:<25} โ {status}"
)
self.print_separator("โ", 79, Colors.CYAN)
def print_results_header(self):
"""Print results section header"""
header = f"""
{Colors.BOLD}{Colors.OKGREEN}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ PROCESSING RESULTS โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.ENDC}
"""
print(header)
def print_error_box(self, title: str, error_msg: str):
"""Print formatted error box"""
print(
f"\n{Colors.FAIL}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ"
)
print(f"โ {Colors.BOLD}ERROR: {title:<50}{Colors.FAIL} โ")
print("โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ")
words = error_msg.split()
lines = []
current_line = ""
for word in words:
if len(current_line + word) <= 54:
current_line += word + " "
else:
lines.append(current_line.strip())
current_line = word + " "
if current_line:
lines.append(current_line.strip())
for line in lines:
print(f"โ {line:<56} โ")
print(
f"โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.ENDC}"
)
def cleanup_cache(self):
"""ๆธ
็Python็ผๅญๆไปถ / Clean up Python cache files"""
try:
self.print_status("Cleaning up cache files...", "info")
# ๆธ
็__pycache__็ฎๅฝ
os.system('find . -type d -name "__pycache__" -exec rm -r {} + 2>/dev/null')
# ๆธ
็.pycๆไปถ
os.system('find . -name "*.pyc" -delete 2>/dev/null')
self.print_status("Cache cleanup completed", "success")
except Exception as e:
self.print_status(f"Cache cleanup failed: {e}", "warning")
def print_goodbye(self):
"""Print goodbye message"""
# ๆธ
็็ผๅญๆไปถ
self.cleanup_cache()
goodbye = f"""
{Colors.BOLD}{Colors.CYAN}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ GOODBYE โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ
โ {Colors.OKGREEN}๐ Thank you for using DeepCode CLI! {Colors.CYAN}โ
โ โ
โ {Colors.YELLOW}๐งฌ Join our community in revolutionizing research reproducibility {Colors.CYAN}โ
โ {Colors.PURPLE}โก Together, we're building the future of automated code generation {Colors.CYAN}โ
โ โ
โ {Colors.OKCYAN}๐ก Questions? Contribute to our open-source mission at GitHub {Colors.CYAN}โ
โ {Colors.GREEN}๐งน Cache files cleaned up for optimal performance {Colors.CYAN}โ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.ENDC}
"""
print(goodbye)
def ask_continue(self) -> bool:
"""Ask if user wants to continue with another paper"""
self.print_separator("โ", 79, Colors.YELLOW)
print(f"\n{Colors.BOLD}{Colors.YELLOW}๐ Process another paper?{Colors.ENDC}")
choice = input(f"{Colors.OKCYAN}Continue? (y/n): {Colors.ENDC}").strip().lower()
return choice in ["y", "yes", "1", "true"]
def add_to_history(self, input_source: str, result: dict):
"""Add processing result to history"""
entry = {
"timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
"input_source": input_source,
"status": result.get("status", "unknown"),
"result": result,
}
self.processing_history.append(entry)
def show_history(self):
"""Display processing history"""
if not self.processing_history:
self.print_status("No processing history available", "info")
return
print(f"\n{Colors.BOLD}{Colors.CYAN}๐ PROCESSING HISTORY{Colors.ENDC}")
self.print_separator("โ", 79, Colors.CYAN)
for i, entry in enumerate(self.processing_history, 1):
status_icon = "โ
" if entry["status"] == "success" else "โ"
source = entry["input_source"]
if len(source) > 50:
source = source[:47] + "..."
print(f"{i}. {status_icon} {entry['timestamp']} | {source}")
self.print_separator("โ", 79, Colors.CYAN)
def show_configuration_menu(self):
"""Show configuration options menu"""
self.clear_screen()
# Get segmentation config status
segmentation_enabled = getattr(self, "segmentation_enabled", True)
segmentation_threshold = getattr(self, "segmentation_threshold", 50000)
print(f"""
{Colors.BOLD}{Colors.CYAN}โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ CONFIGURATION MENU โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ
โ โ
โ {Colors.BOLD}๐ค Agent Orchestration Engine Configuration{Colors.CYAN} โ
โ โ
โ {Colors.OKCYAN}[1] Pipeline Mode:{Colors.CYAN} โ
โ {Colors.BOLD}๐ง Comprehensive Mode{Colors.CYAN} - Full intelligence analysis (Default) โ
โ โ Research Analysis + Resource Processing โ
โ โ Reference Intelligence Discovery โ
โ โ Automated Repository Acquisition โ
โ โ Codebase Intelligence Orchestration โ
โ โ Intelligent Code Implementation Synthesis โ
โ โ
โ {Colors.BOLD}โก Optimized Mode{Colors.CYAN} - Fast processing (Skip indexing) โ
โ โ Research Analysis + Resource Processing โ
โ โ Code Architecture Synthesis โ
โ โ Intelligent Code Implementation Synthesis โ
โ โ Reference Intelligence Discovery (Skipped) โ
โ โ Repository Acquisition (Skipped) โ
โ โ Codebase Intelligence Orchestration (Skipped) โ
โ โ
โ {Colors.OKCYAN}[2] Document Processing:{Colors.CYAN} โ
โ {Colors.BOLD}๐ Smart Segmentation{Colors.CYAN} - Intelligent document analysis (Default) โ
โ โ Semantic boundary detection โ
โ โ Algorithm integrity preservation โ
โ โ Formula chain recognition โ
โ โ Adaptive character limits โ
โ โ
โ {Colors.BOLD}๐ Traditional Processing{Colors.CYAN} - Full document reading โ
โ โ Complete document analysis โ
โ โ Smart segmentation (Disabled) โ
โ โ
โ {Colors.YELLOW}Current Settings:{Colors.CYAN} โ
โ Pipeline: {'๐ง Comprehensive Mode' if self.enable_indexing else 'โก Optimized Mode'} โ
โ Document: {'๐ Smart Segmentation' if segmentation_enabled else '๐ Traditional Processing'} โ
โ Threshold: {segmentation_threshold} characters โ
โ โ
โ {Colors.OKGREEN}[T] Toggle Pipeline {Colors.BLUE}[S] Toggle Segmentation {Colors.FAIL}[B] Back{Colors.CYAN} โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ{Colors.ENDC}
""")
while True:
print(
f"\n{Colors.BOLD}{Colors.OKCYAN}โค Configuration choice: {Colors.ENDC}",
end="",
)
choice = input().strip().lower()
if choice in ["t", "toggle"]:
self.enable_indexing = not self.enable_indexing
mode = "๐ง Comprehensive" if self.enable_indexing else "โก Optimized"
self.print_status(f"Pipeline mode switched to: {mode}", "success")
time.sleep(1)
self.show_configuration_menu()
return
elif choice in ["s", "segmentation"]:
current_state = getattr(self, "segmentation_enabled", True)
self.segmentation_enabled = not current_state
seg_mode = (
"๐ Smart Segmentation"
if self.segmentation_enabled
else "๐ Traditional Processing"
)
self.print_status(
f"Document processing switched to: {seg_mode}", "success"
)
time.sleep(1)
self.show_configuration_menu()
return
elif choice in ["b", "back"]:
return
else:
self.print_status(
"Invalid choice. Please enter 'T', 'S', or 'B'.", "warning"
)
|