b392bc3570
Create libs/ai-services/ with FastAPI app providing: - POST /avm/predict — XGBoost-backed property price prediction (heuristic fallback) - POST /avm/extract-features — Vietnamese NLP feature extraction from listing text - POST /moderation/check — content moderation with rule-based flagging - GET /health — health check endpoint Includes Dockerfile (Python 3.12), docker-compose integration, Pydantic models, and 9 passing tests covering all endpoints. Co-Authored-By: Paperclip <noreply@paperclip.ing>
29 lines
584 B
Python
29 lines
584 B
Python
from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.config import settings
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from app.routers import avm, moderation
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app = FastAPI(
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title=settings.app_name,
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version="0.1.0",
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docs_url="/docs",
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redoc_url="/redoc",
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)
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app.add_middleware(
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CORSMiddleware,
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allow_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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app.include_router(avm.router)
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app.include_router(moderation.router)
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@app.get("/health")
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def health() -> dict:
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return {"status": "ok", "service": settings.app_name}
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