Automated Action 07f6a51f6f Add complete FastAPI backend for AI tutor application
- User authentication with JWT tokens (register/login)
- Tutor session management with CRUD operations
- Message tracking for tutor conversations
- SQLite database with Alembic migrations
- CORS configuration for frontend integration
- Health check and service info endpoints
- Proper project structure with models, schemas, and API routes
2025-06-23 17:55:19 +00:00

39 lines
939 B
Python

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.api import auth, tutor
from app.db.session import engine
from app.db.base import Base
Base.metadata.create_all(bind=engine)
app = FastAPI(
title="AI Tutor Backend Service",
description="Backend API for AI-powered tutoring application",
version="1.0.0",
openapi_url="/openapi.json"
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(auth.router, prefix="/auth", tags=["authentication"])
app.include_router(tutor.router, prefix="/tutor", tags=["tutor"])
@app.get("/")
def read_root():
return {
"title": "AI Tutor Backend Service",
"documentation": "/docs",
"health": "/health"
}
@app.get("/health")
def health_check():
return {"status": "healthy", "service": "AI Tutor Backend"}