799 lines
No EOL
28 KiB
Python
799 lines
No EOL
28 KiB
Python
from flask import Flask, request, send_file, jsonify, Response
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import subprocess
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import os
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import time
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import threading
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import logging
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from pathlib import Path
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import sys
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import uuid
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import pdf2image
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# Configure logging
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logging.basicConfig(level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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# Initialize Flask app with frontend folder structure
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app = Flask(__name__,
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static_folder='frontend/static',
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static_url_path='/static')
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# Dictionary to store background task results
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task_results = {}
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# Import batch processor if available
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try:
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from batch_processor import start_batch_processing, get_batch_processor, cleanup_old_batches
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batch_processing_available = True
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except ImportError:
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logger.warning("batch_processor.py not found. Batch processing features will be disabled.")
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batch_processing_available = False
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# Ensure results folder exists
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def ensure_results_folder():
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results_dir = Path("results")
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if not results_dir.exists():
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results_dir.mkdir()
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return results_dir
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# Ensure frontend folders exist
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def ensure_frontend_folders():
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frontend_dir = Path("frontend")
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if not frontend_dir.exists():
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frontend_dir.mkdir()
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logger.info(f"Created frontend directory: {frontend_dir}")
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static_dir = frontend_dir / "static"
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if not static_dir.exists():
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static_dir.mkdir()
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logger.info(f"Created static directory: {static_dir}")
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return frontend_dir, static_dir
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@app.route('/')
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def index():
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return send_file('frontend/index.html')
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@app.route('/batch')
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def batch_interface():
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"""Serve the batch processing interface"""
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return send_file('frontend/batch.html')
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@app.route('/static/<path:filename>')
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def serve_static(filename):
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return send_file(os.path.join('frontend/static', filename))
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@app.route('/pdf-files')
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def pdf_files():
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try:
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# Get list of PDF files in the current directory
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pdf_files = [f for f in os.listdir('.') if f.endswith('.pdf')]
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logger.info(f"Found {len(pdf_files)} PDF files")
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return jsonify(pdf_files)
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except Exception as e:
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logger.error(f"Error listing PDF files: {str(e)}")
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return jsonify({"error": str(e)}), 500
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@app.route('/pdf-info/<path:pdf_file>')
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def pdf_info(pdf_file):
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"""Get information about a PDF file (page count, etc.)"""
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try:
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if not os.path.exists(pdf_file):
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return jsonify({'error': f'PDF file not found: {pdf_file}'}), 404
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# Get page count using pdf2image
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try:
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from pdf2image.pdf2image import pdfinfo_from_path
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info = pdfinfo_from_path(pdf_file)
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page_count = info["Pages"]
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except Exception as e:
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# Fallback method
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logger.warning(f"pdfinfo failed, using fallback: {e}")
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images = pdf2image.convert_from_path(pdf_file, dpi=72, first_page=1, last_page=1)
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page_count = 1 # At least one page if we got here
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# Try to get actual count by checking last pages
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for i in range(2, 1000): # Reasonable upper limit
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try:
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images = pdf2image.convert_from_path(pdf_file, dpi=72, first_page=i, last_page=i)
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if not images:
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page_count = i - 1
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break
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page_count = i
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except:
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page_count = i - 1
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break
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return jsonify({
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'pageCount': page_count,
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'filename': os.path.basename(pdf_file),
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'size': os.path.getsize(pdf_file)
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})
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except Exception as e:
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logger.error(f"Error getting PDF info: {str(e)}")
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return jsonify({'error': str(e)}), 500
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def run_command(task_id, command):
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"""Run a command in a background thread and store result"""
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logger.info(f"Running command: {command}")
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try:
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# Log the current working directory to help with debugging
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current_dir = os.getcwd()
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logger.info(f"Current working directory: {current_dir}")
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# Check if the script exists
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script_name = command.split()[1]
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if not os.path.exists(script_name):
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logger.error(f"Script not found: {script_name} in {current_dir}")
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task_results[task_id] = {
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'success': False,
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'error': f"Script not found: {script_name}. Make sure all scripts are in the same directory as app.py.",
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'done': True
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}
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return
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# Run the command with more detailed error capture
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# Important: Use pipe input to automatically answer "n" to the prompt
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process = subprocess.Popen(
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command,
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shell=True,
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stdin=subprocess.PIPE,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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universal_newlines=True
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)
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# Send "n" to the process to bypass the "process all pages" prompt
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stdout, stderr = process.communicate(input="n\n")
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# Log the raw output for debugging
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logger.info(f"Command stdout: {stdout[:500]}...")
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if stderr:
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logger.error(f"Command stderr: {stderr}")
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# Update task result based on return code
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if process.returncode == 0:
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task_results[task_id] = {
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'success': True,
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'output': stdout,
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'done': True
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}
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logger.info(f"Command completed successfully: {task_id}")
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else:
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error_message = stderr or f"Command failed with return code {process.returncode}"
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task_results[task_id] = {
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'success': False,
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'error': error_message,
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'done': True
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}
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logger.error(f"Command failed: {task_id} - {error_message}")
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except Exception as e:
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import traceback
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logger.error(f"Unexpected error: {task_id} - {str(e)}")
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logger.error(traceback.format_exc())
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task_results[task_id] = {
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'success': False,
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'error': f"Exception: {str(e)}",
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'done': True
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}
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@app.route('/run-analyzer', methods=['POST'])
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def run_analyzer():
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try:
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pdf_file = request.form.get('pdf_file')
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page_num = request.form.get('page_num', 1)
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if not pdf_file:
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return jsonify({'success': False, 'error': 'PDF file not specified'}), 400
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# List files in current directory to help with debugging
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files = os.listdir('.')
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logger.info(f"Files in current directory: {files}")
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# Check if PDF exists
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if not os.path.exists(pdf_file):
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logger.error(f"PDF file not found: {pdf_file}")
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return jsonify({'success': False, 'error': f'PDF file not found: {pdf_file}'}), 400
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# Check if analyzer.py exists
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if not os.path.exists('analyzer.py'):
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logger.error("analyzer.py not found in current directory")
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return jsonify({'success': False, 'error': 'analyzer.py not found in current directory'}), 500
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# Add the --all-pages=false flag or explicitly specify the page to avoid the prompt
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command = f"python analyzer.py --image {pdf_file} --page {page_num} --start-page {page_num} --end-page {page_num}"
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# Generate a task ID
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task_id = f"analyzer_{int(time.time())}"
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# Initialize task result
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task_results[task_id] = {
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'success': None,
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'output': "Running analyzer...",
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'done': False
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}
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# Start background thread
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thread = threading.Thread(target=run_command, args=(task_id, command))
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thread.daemon = True
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thread.start()
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# Return the task ID immediately
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return jsonify({
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'success': True,
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'task_id': task_id,
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'message': f"Analyzer started. Processing {pdf_file} page {page_num}..."
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})
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except Exception as e:
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import traceback
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logger.error(f"Error starting analyzer: {str(e)}")
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logger.error(traceback.format_exc())
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return jsonify({'success': False, 'error': str(e)}), 500
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@app.route('/task-status/<task_id>')
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def task_status(task_id):
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if task_id not in task_results:
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return jsonify({'success': False, 'error': 'Task not found'}), 404
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result = task_results[task_id]
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# If task is completed, add file paths
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if result['done'] and result['success']:
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if task_id.startswith('analyzer_'):
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result['doctags_file'] = f"results/output.doctags.txt"
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elif task_id.startswith('visualizer_'):
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page_num = task_id.split('_')[-1] if len(task_id.split('_')) > 2 else "1"
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result['image_file'] = f"results/visualization_page_{page_num}.png"
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return jsonify(result)
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@app.route('/run-visualizer', methods=['POST'])
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def run_visualizer():
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try:
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pdf_file = request.form.get('pdf_file')
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page_num = request.form.get('page_num', 1)
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adjust = request.form.get('adjust') == 'true'
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if not pdf_file:
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return jsonify({'success': False, 'error': 'PDF file not specified'}), 400
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command = f"python visualizer.py --doctags results/output.doctags.txt --pdf {pdf_file} --page {page_num}"
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if adjust:
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command += " --adjust"
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# Generate a task ID
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task_id = f"visualizer_{int(time.time())}_{page_num}"
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# Initialize task result
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task_results[task_id] = {
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'success': None,
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'output': "Running visualizer...",
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'done': False
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}
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# Start background thread
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thread = threading.Thread(target=run_command, args=(task_id, command))
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thread.daemon = True
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thread.start()
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return jsonify({
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'success': True,
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'task_id': task_id,
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'message': f"Visualizer started. Processing {pdf_file} page {page_num}..."
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})
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except Exception as e:
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logger.error(f"Error starting visualizer: {str(e)}")
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return jsonify({'success': False, 'error': str(e)}), 500
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@app.route('/run-extractor', methods=['POST'])
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def run_extractor():
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try:
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pdf_file = request.form.get('pdf_file')
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page_num = request.form.get('page_num', 1)
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adjust = request.form.get('adjust') == 'true'
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if not pdf_file:
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return jsonify({'success': False, 'error': 'PDF file not specified'}), 400
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command = f"python picture_extractor.py --doctags results/output.doctags.txt --pdf {pdf_file} --page {page_num}"
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if adjust:
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command += " --adjust"
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# Generate a task ID
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task_id = f"extractor_{int(time.time())}_{page_num}"
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# Initialize task result
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task_results[task_id] = {
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'success': None,
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'output': "Running picture extractor...",
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'done': False
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}
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# Start background thread
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thread = threading.Thread(target=run_command, args=(task_id, command))
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thread.daemon = True
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thread.start()
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return jsonify({
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'success': True,
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'task_id': task_id,
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'message': f"Picture extractor started. Processing {pdf_file} page {page_num}..."
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})
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except Exception as e:
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logger.error(f"Error starting extractor: {str(e)}")
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return jsonify({'success': False, 'error': str(e)}), 500
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@app.route('/results/<path:filename>')
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def results(filename):
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try:
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file_path = os.path.join('results', filename)
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if os.path.exists(file_path):
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return send_file(file_path)
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else:
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logger.error(f"File not found: {file_path}")
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return jsonify({'error': f"File not found: {filename}"}), 404
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except Exception as e:
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logger.error(f"Error serving file {filename}: {str(e)}")
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return jsonify({'error': f"Error serving file: {filename}"}), 500
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@app.route('/pdf-preview/<pdf_file>/<int:page_num>')
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def pdf_preview(pdf_file, page_num):
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"""Generate and serve a preview image of a PDF page"""
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try:
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import pdf2image
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from PIL import Image
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import io
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# Check if PDF exists
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if not os.path.exists(pdf_file):
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return jsonify({'error': f'PDF file not found: {pdf_file}'}), 404
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# Convert PDF page to image
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logger.info(f"Generating preview for {pdf_file} page {page_num}")
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# Use moderate DPI for preview (lower than analyzer's 200)
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preview_dpi = 150
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try:
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pdf_images = pdf2image.convert_from_path(
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pdf_file,
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dpi=preview_dpi,
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first_page=page_num,
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last_page=page_num
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)
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if not pdf_images:
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return jsonify({'error': f'Could not extract page {page_num} from PDF'}), 400
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# Get the first (and only) page
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pil_image = pdf_images[0]
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# Resize if too large (max width 1200px for web preview)
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max_width = 1200
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if pil_image.width > max_width:
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ratio = max_width / pil_image.width
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new_height = int(pil_image.height * ratio)
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pil_image = pil_image.resize((max_width, new_height), Image.LANCZOS)
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# Convert to bytes
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img_io = io.BytesIO()
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pil_image.save(img_io, 'PNG', optimize=True)
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img_io.seek(0)
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return send_file(img_io, mimetype='image/png',
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as_attachment=False,
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download_name=f'{pdf_file}_page_{page_num}_preview.png')
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|
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except Exception as e:
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logger.error(f"Error converting PDF to image: {str(e)}")
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return jsonify({'error': f'Error converting PDF to image: {str(e)}'}), 500
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except Exception as e:
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logger.error(f"Error generating PDF preview: {str(e)}")
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return jsonify({'error': str(e)}), 500
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|
|
@app.route('/check-environment')
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def check_environment():
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"""Endpoint to check the environment and available scripts"""
|
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try:
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# Get current directory
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current_dir = os.getcwd()
|
|
|
|
# List all files in directory
|
|
files = os.listdir('.')
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|
|
|
# Check for required scripts
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|
required_scripts = ['analyzer.py', 'visualizer.py', 'picture_extractor.py']
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missing_scripts = [script for script in required_scripts if script not in files]
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|
|
|
# Check for PDFs
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|
pdf_files = [f for f in files if f.endswith('.pdf')]
|
|
|
|
# Check for results directory
|
|
results_dir = Path("results")
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|
results_dir_exists = results_dir.exists()
|
|
|
|
# Try to check Python version and installed packages
|
|
python_info = subprocess.run(['python', '--version'], capture_output=True, text=True)
|
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python_version = python_info.stdout.strip() if python_info.returncode == 0 else "Unknown"
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|
|
|
# Check if the 'results' directory exists and is writable
|
|
results_writable = False
|
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if results_dir_exists:
|
|
try:
|
|
test_file = results_dir / "test_write.txt"
|
|
with open(test_file, 'w') as f:
|
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f.write("test")
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os.remove(test_file)
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results_writable = True
|
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except:
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pass
|
|
|
|
return jsonify({
|
|
'cwd': current_dir,
|
|
'files': files,
|
|
'missing_scripts': missing_scripts,
|
|
'pdf_files': pdf_files,
|
|
'results_dir_exists': results_dir_exists,
|
|
'results_dir_writable': results_writable,
|
|
'python_version': python_version,
|
|
'batch_processing_available': batch_processing_available
|
|
})
|
|
except Exception as e:
|
|
import traceback
|
|
error_details = traceback.format_exc()
|
|
return jsonify({
|
|
'error': str(e),
|
|
'traceback': error_details
|
|
}), 500
|
|
|
|
@app.route('/run-manual-command', methods=['POST'])
|
|
def run_manual_command():
|
|
"""Endpoint to run a manual command for debugging purposes"""
|
|
try:
|
|
command = request.form.get('command')
|
|
if not command:
|
|
return jsonify({'success': False, 'error': 'No command specified'}), 400
|
|
|
|
logger.info(f"Running manual command: {command}")
|
|
|
|
try:
|
|
# Run the command synchronously for immediate feedback
|
|
process = subprocess.Popen(
|
|
command,
|
|
shell=True,
|
|
stdin=subprocess.PIPE,
|
|
stdout=subprocess.PIPE,
|
|
stderr=subprocess.PIPE,
|
|
text=True,
|
|
universal_newlines=True
|
|
)
|
|
|
|
stdout, stderr = process.communicate(input="n\n", timeout=60) # 60 second timeout
|
|
|
|
success = process.returncode == 0
|
|
return jsonify({
|
|
'success': success,
|
|
'output': stdout,
|
|
'error': stderr,
|
|
'returncode': process.returncode
|
|
})
|
|
except subprocess.TimeoutExpired:
|
|
return jsonify({
|
|
'success': False,
|
|
'error': "Command timed out after 60 seconds"
|
|
})
|
|
except Exception as e:
|
|
import traceback
|
|
return jsonify({
|
|
'success': False,
|
|
'error': str(e),
|
|
'traceback': traceback.format_exc()
|
|
})
|
|
except Exception as e:
|
|
logger.error(f"Error running manual command: {str(e)}")
|
|
return jsonify({'success': False, 'error': str(e)}), 500
|
|
|
|
# Batch processing endpoints
|
|
@app.route('/run-batch-processor', methods=['POST'])
|
|
def run_batch_processor():
|
|
"""Start a new batch processing job"""
|
|
if not batch_processing_available:
|
|
return jsonify({'success': False, 'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
pdf_file = request.form.get('pdf_file')
|
|
start_page = int(request.form.get('start_page', 1))
|
|
end_page = int(request.form.get('end_page', 1))
|
|
|
|
if not pdf_file:
|
|
return jsonify({'success': False, 'error': 'PDF file not specified'}), 400
|
|
|
|
if not os.path.exists(pdf_file):
|
|
return jsonify({'success': False, 'error': f'PDF file not found: {pdf_file}'}), 404
|
|
|
|
# Processing options
|
|
options = {
|
|
'adjust': request.form.get('adjust') == 'true',
|
|
'parallel': request.form.get('parallel') == 'true',
|
|
'generate_report': request.form.get('generate_report') == 'true'
|
|
}
|
|
|
|
# Generate batch ID
|
|
batch_id = str(uuid.uuid4())[:8]
|
|
|
|
# Start batch processing
|
|
if start_batch_processing(batch_id, pdf_file, start_page, end_page, options):
|
|
logger.info(f"Started batch processing with ID: {batch_id}")
|
|
return jsonify({
|
|
'success': True,
|
|
'batch_id': batch_id,
|
|
'message': f'Batch processing started for {end_page - start_page + 1} pages'
|
|
})
|
|
else:
|
|
return jsonify({'success': False, 'error': 'Failed to start batch processing'}), 500
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error starting batch processor: {str(e)}")
|
|
return jsonify({'success': False, 'error': str(e)}), 500
|
|
|
|
@app.route('/batch-status/<batch_id>')
|
|
def batch_status(batch_id):
|
|
"""Get the status of a batch processing job"""
|
|
if not batch_processing_available:
|
|
return jsonify({'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
processor = get_batch_processor(batch_id)
|
|
|
|
if not processor:
|
|
return jsonify({'error': 'Batch not found'}), 404
|
|
|
|
state = processor.get_state()
|
|
|
|
# Only return recent logs (last 20)
|
|
state['logs'] = state['logs'][-20:]
|
|
|
|
return jsonify(state)
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error getting batch status: {str(e)}")
|
|
return jsonify({'error': str(e)}), 500
|
|
|
|
@app.route('/pause-batch/<batch_id>', methods=['POST'])
|
|
def pause_batch(batch_id):
|
|
"""Pause a batch processing job"""
|
|
if not batch_processing_available:
|
|
return jsonify({'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
processor = get_batch_processor(batch_id)
|
|
|
|
if not processor:
|
|
return jsonify({'error': 'Batch not found'}), 404
|
|
|
|
processor.pause()
|
|
return jsonify({'success': True})
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error pausing batch: {str(e)}")
|
|
return jsonify({'error': str(e)}), 500
|
|
|
|
@app.route('/resume-batch/<batch_id>', methods=['POST'])
|
|
def resume_batch(batch_id):
|
|
"""Resume a paused batch processing job"""
|
|
if not batch_processing_available:
|
|
return jsonify({'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
processor = get_batch_processor(batch_id)
|
|
|
|
if not processor:
|
|
return jsonify({'error': 'Batch not found'}), 404
|
|
|
|
processor.resume()
|
|
return jsonify({'success': True})
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error resuming batch: {str(e)}")
|
|
return jsonify({'error': str(e)}), 500
|
|
|
|
@app.route('/cancel-batch/<batch_id>', methods=['POST'])
|
|
def cancel_batch(batch_id):
|
|
"""Cancel a batch processing job"""
|
|
if not batch_processing_available:
|
|
return jsonify({'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
processor = get_batch_processor(batch_id)
|
|
|
|
if not processor:
|
|
return jsonify({'error': 'Batch not found'}), 404
|
|
|
|
processor.cancel()
|
|
return jsonify({'success': True})
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error cancelling batch: {str(e)}")
|
|
return jsonify({'error': str(e)}), 500
|
|
|
|
@app.route('/retry-page', methods=['POST'])
|
|
def retry_page():
|
|
"""Retry processing a single failed page"""
|
|
if not batch_processing_available:
|
|
return jsonify({'success': False, 'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
pdf_file = request.form.get('pdf_file')
|
|
page_num = int(request.form.get('page_num'))
|
|
adjust = request.form.get('adjust') == 'true'
|
|
|
|
if not pdf_file or not page_num:
|
|
return jsonify({'success': False, 'error': 'Missing parameters'}), 400
|
|
|
|
# Create a single-page batch for retry
|
|
batch_id = f"retry_{uuid.uuid4().hex[:8]}"
|
|
options = {'adjust': adjust, 'parallel': False, 'generate_report': False}
|
|
|
|
if start_batch_processing(batch_id, pdf_file, page_num, page_num, options):
|
|
# Wait for completion (since it's just one page)
|
|
processor = get_batch_processor(batch_id)
|
|
timeout = 60 # 60 seconds timeout
|
|
start_time = time.time()
|
|
|
|
while not processor.state['completed'] and (time.time() - start_time) < timeout:
|
|
time.sleep(0.5)
|
|
|
|
if processor.state['results']['successful'] > 0:
|
|
return jsonify({'success': True})
|
|
else:
|
|
return jsonify({'success': False, 'error': 'Page processing failed'})
|
|
else:
|
|
return jsonify({'success': False, 'error': 'Failed to start retry'}), 500
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error retrying page: {str(e)}")
|
|
return jsonify({'success': False, 'error': str(e)}), 500
|
|
|
|
@app.route('/download-batch-results/<batch_id>')
|
|
def download_batch_results(batch_id):
|
|
"""Download all batch results as a ZIP file"""
|
|
if not batch_processing_available:
|
|
return jsonify({'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
processor = get_batch_processor(batch_id)
|
|
|
|
if not processor:
|
|
return jsonify({'error': 'Batch not found'}), 404
|
|
|
|
# Create ZIP archive
|
|
zip_path = processor.create_zip_archive()
|
|
|
|
if zip_path and os.path.exists(zip_path):
|
|
return send_file(
|
|
zip_path,
|
|
mimetype='application/zip',
|
|
as_attachment=True,
|
|
download_name=f'batch_results_{batch_id}.zip'
|
|
)
|
|
else:
|
|
return jsonify({'error': 'Failed to create archive'}), 500
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error downloading batch results: {str(e)}")
|
|
return jsonify({'error': str(e)}), 500
|
|
|
|
@app.route('/batch-report/<batch_id>')
|
|
def batch_report(batch_id):
|
|
"""View the batch processing report"""
|
|
if not batch_processing_available:
|
|
return jsonify({'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
processor = get_batch_processor(batch_id)
|
|
|
|
if not processor:
|
|
return jsonify({'error': 'Batch not found'}), 404
|
|
|
|
report_path = processor.results_dir / "report.html"
|
|
|
|
if report_path.exists():
|
|
# Read and modify the HTML to fix image paths
|
|
with open(report_path, 'r') as f:
|
|
html_content = f.read()
|
|
|
|
# Replace relative image paths with absolute Flask routes
|
|
html_content = html_content.replace(
|
|
'src="visualization_page_',
|
|
f'src="/batch-report-image/{batch_id}/visualization_page_'
|
|
)
|
|
html_content = html_content.replace(
|
|
'href="visualization_page_',
|
|
f'href="/batch-report-image/{batch_id}/visualization_page_'
|
|
)
|
|
|
|
return html_content
|
|
else:
|
|
return jsonify({'error': 'Report not found'}), 404
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error viewing batch report: {str(e)}")
|
|
return jsonify({'error': str(e)}), 500
|
|
|
|
@app.route('/batch-report-image/<batch_id>/<path:filename>')
|
|
def batch_report_image(batch_id, filename):
|
|
"""Serve images from batch report directory"""
|
|
if not batch_processing_available:
|
|
return jsonify({'error': 'Batch processing not available'}), 503
|
|
|
|
try:
|
|
processor = get_batch_processor(batch_id)
|
|
|
|
if not processor:
|
|
return jsonify({'error': 'Batch not found'}), 404
|
|
|
|
image_path = processor.results_dir / filename
|
|
|
|
if image_path.exists() and image_path.is_file():
|
|
return send_file(image_path)
|
|
else:
|
|
return jsonify({'error': f'Image not found: {filename}'}), 404
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error serving batch report image: {str(e)}")
|
|
return jsonify({'error': str(e)}), 500
|
|
|
|
@app.route('/open-results-folder', methods=['POST'])
|
|
def open_results_folder():
|
|
"""Open the results folder in the system file explorer"""
|
|
try:
|
|
results_path = os.path.abspath("results")
|
|
|
|
if sys.platform == 'darwin': # macOS
|
|
subprocess.run(['open', results_path])
|
|
elif sys.platform == 'win32': # Windows
|
|
os.startfile(results_path)
|
|
else: # Linux
|
|
subprocess.run(['xdg-open', results_path])
|
|
|
|
return jsonify({'success': True})
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error opening results folder: {str(e)}")
|
|
return jsonify({'success': False, 'error': str(e)}), 500
|
|
|
|
# Cleanup task for batch processors
|
|
def cleanup_task():
|
|
"""Periodic cleanup of old batch processors"""
|
|
if not batch_processing_available:
|
|
return
|
|
|
|
while True:
|
|
time.sleep(3600) # Run every hour
|
|
try:
|
|
cleanup_old_batches(24) # Clean up batches older than 24 hours
|
|
except Exception as e:
|
|
logger.error(f"Error in cleanup task: {str(e)}")
|
|
|
|
# Start cleanup thread when app starts (only if batch processing is available)
|
|
if batch_processing_available:
|
|
cleanup_thread = threading.Thread(target=cleanup_task)
|
|
cleanup_thread.daemon = True
|
|
cleanup_thread.start()
|
|
|
|
if __name__ == '__main__':
|
|
# Ensure folders exist
|
|
ensure_results_folder()
|
|
ensure_frontend_folders()
|
|
|
|
# Check environment
|
|
if not batch_processing_available:
|
|
logger.warning("batch_processor.py not found. Batch processing features will be disabled.")
|
|
else:
|
|
logger.info("Batch processing features enabled.")
|
|
|
|
app.run(debug=True, host='127.0.0.1', port=5000) |