Navaneethakrishnan
Add RAG system without large files
09281fe
Raw
History Blame Contribute Delete
25.7 kB
"""
Flask API Pipeline for RAG System
Dedicated API server for the Advanced RAG System
Separate from main.py (command-line pipeline)
"""
from flask import Flask, request, jsonify, send_file
import os
import time
import json
import logging
from datetime import datetime
from pathlib import Path
from typing import List, Dict, Any, Optional
import tempfile
import shutil
import requests
# Import RAG system components
from rag_system import AdvancedRAGSystem, QueryResult
from document_processer import AdvancedDocumentProcessor, DocumentChunk
from vector_database import VectorDatabase, SearchResult
from query_parser import AdvancedQueryParser, ParsedQuery
from llm_reasoning import AdvancedLLMReasoning, ReasoningResult
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('app2.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
app = Flask(__name__)
# Global RAG system instance
rag_system = None
system_initialized = False
# Request logging middleware
@app.before_request
def log_request_info():
"""Log all incoming requests"""
logger.info(f"Request: {request.method} {request.url}")
if request.method == 'POST':
logger.info(f"Request data: {request.get_data()[:200]}...")
@app.after_request
def log_response_info(response):
"""Log all outgoing responses"""
logger.info(f"Response: {response.status_code} for {request.method} {request.url}")
return response
@app.route('/', methods=['GET'])
def root():
"""Root endpoint with API documentation"""
logger.info("Root endpoint accessed")
return jsonify({
'message': 'RAG System API Pipeline',
'version': '2.0.0',
'status': 'running',
'endpoints': {
'health': 'GET /api/health',
'status': 'GET /api/status',
'upload': 'POST /api/upload',
'query': 'POST /api/query',
'batch_query': 'POST /api/batch_query',
'validate': 'GET /api/validate',
'audit': 'GET /api/audit',
'statistics': 'GET /api/statistics',
'export': 'POST /api/export',
'clear': 'POST /api/clear',
'keep_alive': 'GET /api/keep-alive',
'hackrx_run': 'POST /hackrx/run',
'hackrx_upload': 'POST /hackrx/upload'
},
'description': 'Advanced RAG System API Pipeline',
'features': [
'Document upload and processing',
'Natural language query processing',
'Policy coverage analysis',
'Claim requirement extraction',
'Audit trail and statistics',
'Hackathon-compatible endpoints'
],
'timestamp': datetime.now().isoformat()
})
def initialize_rag_system():
"""Initialize the RAG system"""
global rag_system, system_initialized
try:
logger.info("Initializing RAG system...")
rag_system = AdvancedRAGSystem(
model_path="./mistral-7b-instruct-v0.1.Q4_K_M.gguf",
use_gpu=False, # Use CPU for better compatibility
vector_db_path="./vector_db"
)
system_initialized = True
logger.info("RAG system initialized successfully!")
return True
except Exception as e:
logger.error(f"RAG system initialization failed: {e}")
return False
def ensure_system_ready():
"""Ensure RAG system is ready"""
if not system_initialized:
return initialize_rag_system()
return True
@app.route('/api/health', methods=['GET'])
def health_check():
"""Health check endpoint"""
logger.info("Health check requested")
try:
return jsonify({
'status': 'healthy',
'timestamp': datetime.now().isoformat(),
'system_initialized': system_initialized,
'rag_system_ready': system_initialized,
'message': 'RAG System API is running'
})
except Exception as e:
logger.error(f"Health check failed: {e}")
return jsonify({'error': f'Health check failed: {str(e)}'}), 500
@app.route('/api/keep-alive', methods=['GET'])
def keep_alive():
"""Keep-alive endpoint to prevent server termination"""
logger.info("Keep-alive ping received")
return jsonify({
'status': 'alive',
'timestamp': datetime.now().isoformat(),
'message': 'RAG System API is running'
})
@app.route('/hackrx/run', methods=['POST'])
def hackrx_run():
"""Hackathon run endpoint"""
logger.info("HackRX run endpoint accessed")
try:
# Check authorization
auth_header = request.headers.get('Authorization')
if not auth_header or not auth_header.startswith('Bearer '):
logger.warning("Missing or invalid Authorization header")
return jsonify({'error': 'Unauthorized'}), 401
api_key = auth_header.split(' ')[1]
# For now, accept any Bearer token
logger.info(f"API key provided: {api_key[:10]}...")
# Get request data
data = request.get_json()
if not data:
logger.warning("No JSON data provided")
return jsonify({'error': 'No JSON data provided'}), 400
documents_url = data.get('documents')
questions = data.get('questions', [])
if not questions:
logger.warning("No questions provided")
return jsonify({'error': 'No questions provided'}), 400
logger.info(f"Processing {len(questions)} questions")
if documents_url:
logger.info(f"Document URL provided: {documents_url}")
# Ensure system is ready
if not ensure_system_ready():
logger.error("RAG system not ready")
return jsonify({'error': 'RAG system not ready'}), 500
# Download and process document if URL provided
if documents_url:
try:
logger.info("Downloading document from URL...")
response = requests.get(documents_url, timeout=30)
response.raise_for_status()
# Save to temporary file
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.pdf')
temp_file.write(response.content)
temp_file.close()
logger.info(f"Document downloaded to: {temp_file.name}")
# Ingest document
chunks = rag_system.ingest_document(temp_file.name, use_ocr=False)
logger.info(f"Document ingested: {len(chunks)} chunks created")
# Clean up
os.unlink(temp_file.name)
except Exception as e:
logger.error(f"Document download/processing failed: {e}")
return jsonify({'error': f'Document processing failed: {str(e)}'}), 500
# Process questions
answers = []
for i, question in enumerate(questions):
try:
logger.info(f"Processing question {i+1}/{len(questions)}: {question[:50]}...")
result = rag_system.process_query(question)
if result and result.reasoning_result:
answer = result.reasoning_result.justification
answers.append(answer)
logger.info(f"Question {i+1} processed successfully")
else:
answers.append("Unable to process this question.")
logger.warning(f"Question {i+1} failed to process")
except Exception as e:
logger.error(f"Question {i+1} processing failed: {e}")
answers.append(f"Error processing question: {str(e)}")
response_data = {'answers': answers}
logger.info(f"HackRX run completed: {len(answers)} answers generated")
return jsonify(response_data)
except Exception as e:
logger.error(f"HackRX run failed: {e}")
return jsonify({'error': f'Processing failed: {str(e)}'}), 500
@app.route('/hackrx/upload', methods=['POST'])
def hackrx_upload():
"""Hackathon upload endpoint"""
logger.info("HackRX upload endpoint accessed")
try:
# Check if file is uploaded
if 'file' not in request.files:
logger.warning("No file provided in hackrx/upload request")
return jsonify({'error': 'No file provided'}), 400
file = request.files['file']
if file.filename == '':
logger.warning("Empty filename in hackrx/upload request")
return jsonify({'error': 'No file selected'}), 400
logger.info(f"Processing file: {file.filename}")
# Ensure system is ready
if not ensure_system_ready():
logger.error("RAG system not ready for upload")
return jsonify({'error': 'RAG system not ready'}), 500
# Check file type
supported_extensions = {'.pdf', '.txt', '.docx', '.html', '.htm', '.eml', '.msg', '.csv', '.json'}
file_extension = Path(file.filename).suffix.lower()
if file_extension not in supported_extensions:
logger.warning(f"Unsupported file type: {file_extension}")
return jsonify({'error': f'Unsupported file type: {file_extension}'}), 400
# Save uploaded file
upload_dir = Path('uploads')
upload_dir.mkdir(exist_ok=True)
file_path = upload_dir / file.filename
file.save(str(file_path))
logger.info(f"File saved to: {file_path}")
try:
# Process document
start_time = time.time()
logger.info("Starting document ingestion...")
chunks = rag_system.ingest_document(str(file_path), use_ocr=False)
processing_time = time.time() - start_time
logger.info(f"Document processed successfully: {len(chunks)} chunks created in {processing_time:.2f}s")
# Clean up uploaded file
os.remove(str(file_path))
logger.info("Temporary file cleaned up")
response = {
'success': True,
'message': 'Document processed successfully',
'filename': file.filename,
'chunks_processed': len(chunks),
'processing_time': processing_time,
'file_type': file_extension,
'timestamp': datetime.now().isoformat()
}
logger.info(f"HackRX upload response: {response}")
return jsonify(response)
except Exception as e:
# Clean up on error
if os.path.exists(str(file_path)):
os.remove(str(file_path))
logger.info("Cleaned up file after error")
logger.error(f"Document processing error: {e}")
raise e
except Exception as e:
logger.error(f"HackRX upload failed: {e}")
return jsonify({'error': f'Document processing failed: {str(e)}'}), 500
@app.route('/api/status', methods=['GET'])
def system_status():
"""Get detailed system status"""
try:
if not ensure_system_ready():
return jsonify({
'status': 'error',
'message': 'RAG system initialization failed'
}), 500
# Get system statistics
stats = rag_system.get_system_statistics()
return jsonify({
'status': 'ready',
'system_statistics': stats,
'timestamp': datetime.now().isoformat()
})
except Exception as e:
logger.error(f"Status check failed: {e}")
return jsonify({
'status': 'error',
'message': f'Status check failed: {str(e)}'
}), 500
@app.route('/api/upload', methods=['POST'])
def upload_document():
"""Upload document endpoint"""
logger.info("Upload endpoint accessed")
try:
# Check if file is uploaded
if 'file' not in request.files:
logger.warning("No file provided in upload request")
return jsonify({'error': 'No file provided'}), 400
file = request.files['file']
if file.filename == '':
logger.warning("Empty filename in upload request")
return jsonify({'error': 'No file selected'}), 400
logger.info(f"Processing file: {file.filename}")
# Ensure system is ready
if not ensure_system_ready():
logger.error("RAG system not ready for upload")
return jsonify({'error': 'RAG system not ready'}), 500
# Check file type
supported_extensions = {'.pdf', '.txt', '.docx', '.html', '.htm', '.eml', '.msg', '.csv', '.json'}
file_extension = Path(file.filename).suffix.lower()
if file_extension not in supported_extensions:
logger.warning(f"Unsupported file type: {file_extension}")
return jsonify({'error': f'Unsupported file type: {file_extension}'}), 400
# Save uploaded file
upload_dir = Path('uploads')
upload_dir.mkdir(exist_ok=True)
file_path = upload_dir / file.filename
file.save(str(file_path))
logger.info(f"File saved to: {file_path}")
try:
# Process document
start_time = time.time()
logger.info("Starting document ingestion...")
chunks = rag_system.ingest_document(str(file_path), use_ocr=False)
processing_time = time.time() - start_time
logger.info(f"Document processed successfully: {len(chunks)} chunks created in {processing_time:.2f}s")
# Clean up uploaded file
os.remove(str(file_path))
logger.info("Temporary file cleaned up")
response = {
'success': True,
'message': 'Document uploaded and processed successfully',
'filename': file.filename,
'chunks_processed': len(chunks),
'processing_time': processing_time,
'file_type': file_extension,
'timestamp': datetime.now().isoformat()
}
logger.info(f"Upload response: {response}")
return jsonify(response)
except Exception as e:
# Clean up on error
if os.path.exists(str(file_path)):
os.remove(str(file_path))
logger.info("Cleaned up file after error")
logger.error(f"Document processing error: {e}")
raise e
except Exception as e:
logger.error(f"Upload failed: {e}")
return jsonify({'error': f'Document processing failed: {str(e)}'}), 500
@app.route('/api/query', methods=['POST'])
def process_query():
"""Process single query endpoint"""
logger.info("Query endpoint accessed")
try:
data = request.get_json()
if not data:
logger.warning("No JSON data provided")
return jsonify({'error': 'No JSON data provided'}), 400
query = data.get('query')
if not query:
logger.warning("No query provided")
return jsonify({'error': 'No query provided'}), 400
logger.info(f"Processing query: {query[:50]}...")
# Ensure system is ready
if not ensure_system_ready():
logger.error("RAG system not ready")
return jsonify({'error': 'RAG system not ready'}), 500
# Process query
start_time = time.time()
result = rag_system.process_query(query)
processing_time = time.time() - start_time
if result:
response = {
'success': True,
'query': query,
'answer': result.reasoning_result.justification if result.reasoning_result else "No answer generated",
'confidence': result.reasoning_result.confidence if result.reasoning_result else 0.0,
'processing_time': processing_time,
'timestamp': datetime.now().isoformat()
}
logger.info(f"Query processed successfully in {processing_time:.2f}s")
return jsonify(response)
else:
logger.warning("Query processing returned no result")
return jsonify({'error': 'No result generated'}), 500
except Exception as e:
logger.error(f"Query processing failed: {e}")
return jsonify({'error': f'Query processing failed: {str(e)}'}), 500
@app.route('/api/batch_query', methods=['POST'])
def process_batch_queries():
"""Process multiple queries endpoint"""
logger.info("Batch query endpoint accessed")
try:
data = request.get_json()
if not data:
logger.warning("No JSON data provided")
return jsonify({'error': 'No JSON data provided'}), 400
queries = data.get('queries', [])
if not queries:
logger.warning("No queries provided")
return jsonify({'error': 'No queries provided'}), 400
logger.info(f"Processing {len(queries)} queries")
# Ensure system is ready
if not ensure_system_ready():
logger.error("RAG system not ready")
return jsonify({'error': 'RAG system not ready'}), 500
# Process queries
results = []
start_time = time.time()
for i, query in enumerate(queries):
try:
logger.info(f"Processing query {i+1}/{len(queries)}: {query[:50]}...")
result = rag_system.process_query(query)
if result and result.reasoning_result:
results.append({
'query': query,
'answer': result.reasoning_result.justification,
'confidence': result.reasoning_result.confidence,
'success': True
})
else:
results.append({
'query': query,
'answer': "No answer generated",
'confidence': 0.0,
'success': False
})
except Exception as e:
logger.error(f"Query {i+1} processing failed: {e}")
results.append({
'query': query,
'answer': f"Error: {str(e)}",
'confidence': 0.0,
'success': False
})
processing_time = time.time() - start_time
response = {
'success': True,
'queries_processed': len(queries),
'successful_queries': len([r for r in results if r['success']]),
'processing_time': processing_time,
'results': results,
'timestamp': datetime.now().isoformat()
}
logger.info(f"Batch query completed: {len(results)} results in {processing_time:.2f}s")
return jsonify(response)
except Exception as e:
logger.error(f"Batch query processing failed: {e}")
return jsonify({'error': f'Batch query processing failed: {str(e)}'}), 500
@app.route('/api/validate', methods=['GET'])
def validate_system():
"""Validate system endpoint"""
logger.info("Validate endpoint accessed")
try:
if not ensure_system_ready():
return jsonify({'error': 'RAG system not ready'}), 500
# Perform validation checks
validation_results = {
'rag_system_ready': system_initialized,
'vector_db_accessible': True, # Add actual check if needed
'model_loaded': True, # Add actual check if needed
'timestamp': datetime.now().isoformat()
}
return jsonify(validation_results)
except Exception as e:
logger.error(f"Validation failed: {e}")
return jsonify({'error': f'Validation failed: {str(e)}'}), 500
@app.route('/api/audit', methods=['GET'])
def get_audit_trail():
"""Get audit trail endpoint"""
logger.info("Audit endpoint accessed")
try:
if not ensure_system_ready():
return jsonify({'error': 'RAG system not ready'}), 500
# Get audit trail from RAG system
audit_trail = rag_system.get_audit_trail()
return jsonify({
'audit_trail': audit_trail,
'timestamp': datetime.now().isoformat()
})
except Exception as e:
logger.error(f"Audit trail retrieval failed: {e}")
return jsonify({'error': f'Audit trail retrieval failed: {str(e)}'}), 500
@app.route('/api/export', methods=['POST'])
def export_system_data():
"""Export system data endpoint"""
logger.info("Export endpoint accessed")
try:
if not ensure_system_ready():
return jsonify({'error': 'RAG system not ready'}), 500
data = request.get_json() or {}
export_format = data.get('format', 'json')
# Export system data
export_data = rag_system.export_system_data(export_format)
if export_data:
return jsonify({
'success': True,
'format': export_format,
'data': export_data,
'timestamp': datetime.now().isoformat()
})
else:
return jsonify({'error': 'Failed to export system data'}), 500
except Exception as e:
logger.error(f"System export failed: {e}")
return jsonify({'error': f'System export failed: {str(e)}'}), 500
@app.route('/api/clear', methods=['POST'])
def clear_system():
"""Clear system data endpoint"""
logger.info("Clear endpoint accessed")
try:
if not ensure_system_ready():
return jsonify({'error': 'RAG system not ready'}), 500
success = rag_system.clear_system()
return jsonify({
'success': success,
'message': 'System cleared successfully' if success else 'Failed to clear system',
'timestamp': datetime.now().isoformat()
})
except Exception as e:
logger.error(f"System clear failed: {e}")
return jsonify({'error': f'System clear failed: {str(e)}'}), 500
@app.route('/api/statistics', methods=['GET'])
def get_statistics():
"""Get system statistics endpoint"""
logger.info("Statistics endpoint accessed")
try:
if not ensure_system_ready():
return jsonify({'error': 'RAG system not ready'}), 500
stats = rag_system.get_system_statistics()
return jsonify(stats)
except Exception as e:
logger.error(f"Statistics retrieval failed: {e}")
return jsonify({'error': f'Statistics retrieval failed: {str(e)}'}), 500
# Error handlers
@app.errorhandler(404)
def not_found(error):
return jsonify({'error': 'Endpoint not found'}), 404
@app.errorhandler(500)
def internal_error(error):
return jsonify({'error': 'Internal server error'}), 500
@app.errorhandler(Exception)
def handle_exception(e):
logger.error(f"Unhandled exception: {e}")
return jsonify({'error': 'Internal server error'}), 500
if __name__ == '__main__':
print("๐Ÿš€ Starting RAG System API Pipeline (app2.py)")
print("=" * 60)
print("๐Ÿ“‹ Available endpoints:")
print(" GET /api/health - Health check")
print(" GET /api/status - System status")
print(" POST /api/upload - Upload document")
print(" POST /api/query - Process single query")
print(" POST /api/batch_query - Process multiple queries")
print(" GET /api/validate - Validate system")
print(" GET /api/audit - Get audit trail")
print(" POST /api/export - Export system data")
print(" POST /api/clear - Clear system")
print(" GET /api/statistics - Get statistics")
print(" POST /hackrx/run - Hackathon run endpoint")
print(" POST /hackrx/upload - Hackathon upload endpoint")
print("=" * 60)
# Initialize system on startup
logger.info("Starting RAG System API Pipeline")
if initialize_rag_system():
print("โœ… RAG system initialized successfully!")
logger.info("RAG system initialized successfully")
else:
print("โš ๏ธ RAG system initialization failed - will retry on first request")
logger.warning("RAG system initialization failed")
print(f"๐ŸŒ Server will run on http://127.0.0.1:5000")
print("=" * 60)
logger.info("Starting Flask server...")
try:
app.run(
debug=False,
host='0.0.0.0',
port=5000,
threaded=True,
use_reloader=False # Prevent auto-restart issues
)
except KeyboardInterrupt:
logger.info("Server stopped by user (Ctrl+C)")
print("\n๐Ÿ‘‹ Server stopped by user")
except Exception as e:
logger.error(f"Server crashed: {e}")
print(f"โŒ Server crashed: {e}")
raise