src/execute.py

import gradio as gr
import subprocess
import sys
import os
import threading
import time
import uuid
import glob
import shutil
from pathlib import Path
from apscheduler.schedulers.background import BackgroundScheduler

default_command = "bigcodebench.evaluate"
is_running = False
lock = threading.Lock()

def generate_command(
    jsonl_file, split, subset, parallel,
    min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
    check_gt_only, no_gt
):
    command = [default_command]
    
    if jsonl_file is not None:
        # Copy the uploaded file to the current directory
        local_filename = os.path.basename(jsonl_file.name)
        shutil.copy(jsonl_file.name, local_filename)
        command.extend(["--samples", local_filename])
    
    command.extend(["--split", split, "--subset", subset])
    
    if parallel is not None and parallel != 0:
        command.extend(["--parallel", str(int(parallel))])
    
    command.extend([
        "--min-time-limit", str(min_time_limit),
        "--max-as-limit", str(int(max_as_limit)),
        "--max-data-limit", str(int(max_data_limit)),
        "--max-stack-limit", str(int(max_stack_limit))
    ])
    
    if check_gt_only:
        command.append("--check-gt-only")
    
    if no_gt:
        command.append("--no-gt")
    
    return " ".join(command)


def cleanup_previous_files(jsonl_file):
    if jsonl_file is not None:
        file_list = ['Dockerfile', 'app.py', 'README.md', os.path.basename(jsonl_file.name), "__pycache__"]
    else:
        file_list = ['Dockerfile', 'app.py', 'README.md', "__pycache__"]
    for file in glob.glob("*"):
        try:
            if file not in file_list:
                os.remove(file)
        except Exception as e:
            print(f"Error during cleanup of {file}: {e}")

def find_result_file():
    json_files = glob.glob("*.json")
    if json_files:
        return max(json_files, key=os.path.getmtime)
    return None

def run_bigcodebench(command):
    global is_running
    with lock:
        if is_running:
            yield "A command is already running. Please wait for it to finish.\n"
            return
        is_running = True

    try:
        yield f"Executing command: {command}\n"
        
        process = subprocess.Popen(command.split(), stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
        
        for line in process.stdout:
            yield line
        
        # process.wait()
        
        if process.returncode != 0:
            yield f"Error: Command exited with status {process.returncode}\n"
        
        yield "Evaluation completed.\n"
        
        result_file = find_result_file()
        if result_file:
            yield f"Result file found: {result_file}\n"
        else:
            yield "No result file found.\n"
    finally:
        with lock:
            is_running = False

def stream_logs(command, jsonl_file=None):
    global is_running
        
    if is_running:
        yield "A command is already running. Please wait for it to finish.\n"
        return
    
    cleanup_previous_files(jsonl_file)
    yield "Cleaned up previous files.\n"

    log_content = []
    for log_line in run_bigcodebench(command):
        log_content.append(log_line)
        yield "".join(log_content)