66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
from contextlib import asynccontextmanager
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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.documents import router as documents_router
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from app.api.onboarding import router as onboarding_router
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from app.api.voice_onboarding import router as voice_router
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from app.database import models
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from app.database.database import Base, engine
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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Base.metadata.create_all(bind=engine)
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yield
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app = FastAPI(
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title="AI Patient Onboarding API",
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description="Multi-Model Voice-First Hospital Patient Onboarding Engine (Sarvam + OpenAI + Claude + Gemini)",
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version="1.0.0",
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lifespan=lifespan,
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)
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# Enable CORS for React Web & Mobile clients
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=False,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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@app.options("/{full_path:path}")
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async def options_preflight(full_path: str):
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from fastapi import Response, status
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return Response(
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status_code=status.HTTP_204_NO_CONTENT,
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headers={
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"Access-Control-Allow-Origin": "*",
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"Access-Control-Allow-Methods": "GET, POST, PUT, DELETE, OPTIONS",
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"Access-Control-Allow-Headers": "*",
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},
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)
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app.include_router(onboarding_router)
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app.include_router(voice_router)
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app.include_router(documents_router)
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@app.get("/health")
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async def health():
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return {
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"success": True,
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"service": "AI Patient Onboarding",
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"status": "healthy",
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"models": {
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"speech": "Sarvam AI (Indian Languages) / OpenAI Whisper",
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"conversation": "OpenAI GPT-4o-mini",
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"validation": "Claude 3.5 Sonnet",
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"vision_documents": "Gemini 1.5 Flash",
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},
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}
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