amo-server/app.py
Maxim Snesarev 33d6bb7ebd Refactor AMO CRM Data Collection Service to use PostgreSQL
- Updated database configuration to switch from SQLite to PostgreSQL, including changes to alembic.ini, Docker Compose, and environment settings.
- Refactored application code to utilize PostgreSQL database adapters, ensuring compatibility with the new database structure.
- Enhanced API routes and data handling to support the new database, including adjustments in data models and query logic.
- Introduced new job processing mechanisms for full synchronization of AMO CRM entities, leveraging FastStream for background tasks.
- Improved logging and error handling across the application to facilitate better monitoring and debugging.
- Removed obsolete SQLite adapter files and migrations, streamlining the project structure for PostgreSQL integration.
2025-11-05 00:38:37 +03:00

85 lines
2.3 KiB
Python

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from typing import AsyncGenerator
import uvicorn
import logging
from adapters.postgres.database import init_db
from routers import entities, export, data, amocrm
from utils.config import settings
# FastStream integration
from workers.broker import broker
from workers.middleware import setup_middleware
# Configure logging
logging.basicConfig(level=settings.LOG_LEVEL)
logger = logging.getLogger(__name__)
# Setup FastStream middleware
setup_middleware(broker)
@asynccontextmanager
async def app_lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
# Startup
logger.info("Starting AMO CRM Data Collection Service")
await init_db()
logger.info("Database initialized successfully")
# Start broker
await broker.start()
logger.info("Redis broker connected successfully")
yield
# Shutdown
logger.info("Shutting down AMO CRM Data Collection Service")
await broker.close()
logger.info("Redis broker closed")
app = FastAPI(
title="AMO CRM Data Collection Service",
description="Service for collecting and exporting AMO CRM data to Google Sheets with FastStream workers",
version="0.1.0",
lifespan=app_lifespan,
)
# CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Configure appropriately for production
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include API routers
app.include_router(entities.router, prefix=f"{settings.API_V1_STR}/entities", tags=["entities"])
app.include_router(export.router, prefix=f"{settings.API_V1_STR}/export", tags=["export"])
app.include_router(data.router, prefix=f"{settings.API_V1_STR}/data", tags=["data"])
app.include_router(amocrm.router, prefix=f"{settings.API_V1_STR}/amocrm", tags=["amocrm"])
@app.get("/")
async def root() -> dict[str, str]:
return {"message": "AMO CRM Data Collection Service", "version": "0.1.0"}
@app.get("/health")
async def health_check() -> dict[str, str]:
return {"status": "healthy"}
if __name__ == "__main__":
uvicorn.run(
"app:app",
host="0.0.0.0",
port=8000,
reload=True,
log_level=settings.LOG_LEVEL.lower(),
)