- Cache extracted triples to disk (neo4j_triples.pickle) so Neo4j can be repopulated without expensive LLM re-extraction on cold starts - Split initialization into two phases: fast vector-only (~1-2 min) and background GraphRAG, so the server serves requests while GraphRAG loads - Add GraphRAG status flags to shared_state for monitoring readiness - Update /status endpoint to expose graphrag_ready/initializing/error - Restructure main.py to use single event loop for background task support Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
172 lines
No EOL
6.5 KiB
Python
172 lines
No EOL
6.5 KiB
Python
# hp_chatbot/main.py
|
|
|
|
import asyncio
|
|
import os
|
|
import sys
|
|
from flask import Flask
|
|
from flask_cors import CORS
|
|
|
|
# Ensure the project directory is in the Python path
|
|
current_dir = os.path.dirname(os.path.abspath(__file__))
|
|
if current_dir not in sys.path:
|
|
sys.path.insert(0, current_dir)
|
|
|
|
# Import necessary components from our modules
|
|
from config import (
|
|
APPLICATION_ROOT, MAX_CONTENT_LENGTH,
|
|
CORS_ALLOWED_ORIGINS, CORS_SUPPORTS_CREDENTIALS,
|
|
SERVER_HOST, SERVER_PORT, USE_RELOADER, LOG_LEVEL,
|
|
KEEP_ALIVE_TIMEOUT, READ_TIMEOUT, WRITE_TIMEOUT
|
|
)
|
|
from utils import logger, log_structured
|
|
from json_utils import CustomJSONProvider
|
|
from ai_core import initialize_global_index, initialize_vector_index, initialize_graphrag_components
|
|
from shared_state import global_workflow_agent, is_agent_available, get_graphrag_status
|
|
from routes import register_routes
|
|
from init_mongodb import init_mongodb # Your MongoDB initialization script
|
|
|
|
# --- Flask App Initialization ---
|
|
app = Flask(__name__)
|
|
|
|
# Apply custom JSON provider for handling special types (LlamaIndex objects, etc.)
|
|
app.json_provider_class = CustomJSONProvider
|
|
app.json = CustomJSONProvider(app)
|
|
|
|
# Configuration
|
|
app.config['MAX_CONTENT_LENGTH'] = MAX_CONTENT_LENGTH
|
|
if APPLICATION_ROOT:
|
|
app.config['APPLICATION_ROOT'] = APPLICATION_ROOT
|
|
# If using APPLICATION_ROOT, you might need to adjust route prefixes
|
|
# or use a Blueprint with url_prefix=APPLICATION_ROOT
|
|
log_structured('info', f"Flask Application Root set to: {APPLICATION_ROOT}")
|
|
|
|
# CORS Configuration
|
|
CORS(app,
|
|
resources={r"/*": {"origins": CORS_ALLOWED_ORIGINS}},
|
|
supports_credentials=CORS_SUPPORTS_CREDENTIALS,
|
|
# Expose custom headers if needed by the frontend
|
|
# expose_headers=["Content-Disposition"] # Example for downloads
|
|
)
|
|
log_structured('info', f"CORS configured for origins: {CORS_ALLOWED_ORIGINS}")
|
|
|
|
|
|
# --- Register Routes ---
|
|
# Pass the app object to the function in routes.py
|
|
register_routes(app)
|
|
log_structured('info', "Flask routes registered.")
|
|
|
|
|
|
# --- Startup Function ---
|
|
async def startup_event() -> bool:
|
|
"""Phase 1 (blocking): MongoDB + vector index. Phase 2 (background): GraphRAG.
|
|
|
|
Returns:
|
|
bool: True if Phase 1 completed successfully, False otherwise
|
|
"""
|
|
log_structured('info', "Application startup sequence initiated.")
|
|
all_success = True
|
|
|
|
# 1. Initialize MongoDB Connection & Schema
|
|
log_structured('info', "Initializing MongoDB connection...")
|
|
try:
|
|
if init_mongodb():
|
|
log_structured('info', "MongoDB initialized successfully.")
|
|
else:
|
|
log_structured('warning', "MongoDB initialization script finished, but reported issues.")
|
|
all_success = False
|
|
except Exception as db_err:
|
|
log_structured('critical', "FATAL: MongoDB initialization failed.", {'error': str(db_err)})
|
|
all_success = False
|
|
|
|
# 2. Phase 1: Vector index + agent (fast, ~1-2 min)
|
|
log_structured('info', "Phase 1: Initializing vector index and agent...")
|
|
vector_success = await initialize_vector_index()
|
|
|
|
if not is_agent_available() or not vector_success:
|
|
log_structured('critical', "Vector initialization failed")
|
|
all_success = False
|
|
else:
|
|
log_structured('info', "Phase 1 complete: server is ready for vector queries")
|
|
|
|
# 3. Phase 2: GraphRAG in background (non-blocking)
|
|
if vector_success:
|
|
log_structured('info', "Phase 2: Launching GraphRAG initialization in background...")
|
|
|
|
async def _background_graphrag_init():
|
|
try:
|
|
success = await initialize_graphrag_components()
|
|
if success:
|
|
log_structured('info', "GraphRAG background init completed successfully")
|
|
else:
|
|
log_structured('warning', "GraphRAG background init failed — vector search still works")
|
|
except Exception as e:
|
|
log_structured('error', f"GraphRAG background init error: {e}")
|
|
|
|
# Schedule as background task — does NOT block server startup
|
|
asyncio.ensure_future(_background_graphrag_init())
|
|
|
|
log_structured('info', f"Startup complete. Server ready: {all_success}")
|
|
return all_success
|
|
|
|
|
|
# --- Shutdown Function (Optional) ---
|
|
async def shutdown_event():
|
|
"""Tasks to run when the application stops."""
|
|
log_structured('info', "Application shutdown sequence initiated.")
|
|
# Add any cleanup tasks here (e.g., closing connections if not handled elsewhere)
|
|
# Note: Hypercorn might not always guarantee graceful shutdown execution.
|
|
log_structured('info', "Application shutdown sequence complete.")
|
|
|
|
|
|
# --- Main Execution Block ---
|
|
if __name__ == '__main__':
|
|
from hypercorn.config import Config as HypercornConfig
|
|
from hypercorn.asyncio import serve as hypercorn_serve
|
|
|
|
# Create Hypercorn config object
|
|
config = HypercornConfig()
|
|
|
|
# Basic settings
|
|
config.bind = [f"{SERVER_HOST}:{SERVER_PORT}"]
|
|
config.use_reloader = USE_RELOADER
|
|
config.accesslog = '-'
|
|
config.errorlog = '-'
|
|
config.loglevel = LOG_LEVEL.upper()
|
|
config.worker_class = 'asyncio'
|
|
|
|
# Timeouts
|
|
config.keep_alive_timeout = float(KEEP_ALIVE_TIMEOUT)
|
|
config.read_timeout = float(READ_TIMEOUT)
|
|
config.write_timeout = float(WRITE_TIMEOUT)
|
|
|
|
# Shutdown hooks (startup is handled manually inside run_server_with_startup)
|
|
config.shutdown_hooks = [shutdown_event]
|
|
|
|
log_structured('info', f"Starting Hypercorn server on {SERVER_HOST}:{SERVER_PORT}")
|
|
log_structured('info', f"Reload mode: {'Enabled' if USE_RELOADER else 'Disabled'}")
|
|
|
|
async def run_server_with_startup():
|
|
"""Run startup (with background GraphRAG init) then serve.
|
|
|
|
Uses a single event loop so background tasks from asyncio.ensure_future()
|
|
in startup_event() run concurrently with the server.
|
|
"""
|
|
await startup_event()
|
|
|
|
# Double-check agent
|
|
if not is_agent_available():
|
|
log_structured('critical', "Agent unavailable after startup. Forcing vector re-init...")
|
|
await initialize_vector_index()
|
|
if is_agent_available():
|
|
asyncio.ensure_future(initialize_graphrag_components())
|
|
|
|
# Start serving — background GraphRAG init continues in same event loop
|
|
await hypercorn_serve(app, config)
|
|
|
|
try:
|
|
asyncio.run(run_server_with_startup())
|
|
except KeyboardInterrupt:
|
|
log_structured('info', "Server stopped manually (KeyboardInterrupt).")
|
|
except Exception as run_err:
|
|
log_structured('critical', "Hypercorn server failed to run.", {'error': str(run_err)})
|
|
sys.exit(1) |