ef749e4878
- Set up FastAPI application structure - Implement SQLite database with SQLAlchemy - Create WhatsApp webhook endpoints - Implement message storage and analysis - Integrate Gemini 2.5 Pro for message analysis - Add email delivery of insights - Configure APScheduler for weekend analysis - Add linting with Ruff
55 lines
1.3 KiB
Python
55 lines
1.3 KiB
Python
"""
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WhatsApp Message Analytics Service main application module.
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"""
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import uvicorn
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.api.api_v1.api import api_router
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from app.core.config import settings
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from app.core.scheduler import start_scheduler
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app = FastAPI(
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title=settings.PROJECT_NAME,
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description=settings.PROJECT_DESCRIPTION,
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version=settings.PROJECT_VERSION,
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openapi_url=f"{settings.API_V1_STR}/openapi.json",
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docs_url="/docs",
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redoc_url="/redoc",
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)
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# Set all CORS enabled origins
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if settings.BACKEND_CORS_ORIGINS:
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app.add_middleware(
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CORSMiddleware,
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allow_origins=[str(origin) for origin in settings.BACKEND_CORS_ORIGINS],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Include API router
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app.include_router(api_router, prefix=settings.API_V1_STR)
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@app.get("/health", tags=["health"])
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async def health_check():
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"""
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Health check endpoint.
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"""
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return {"status": "healthy"}
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@app.on_event("startup")
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async def startup_event():
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"""
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Actions to run on application startup.
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"""
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# Start the scheduler for weekend message analysis
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if settings.ENABLE_SCHEDULER:
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start_scheduler()
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if __name__ == "__main__":
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uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)
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