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>
60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
from fastapi.testclient import TestClient
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from app.main import app
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client = TestClient(app)
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def test_predict_heuristic():
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resp = client.post(
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"/avm/predict",
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json={
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"area": 80.0,
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"district": "Cầu Giấy",
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"city": "Hà Nội",
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"property_type": "apartment",
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"bedrooms": 2,
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"bathrooms": 2,
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"floors": 1,
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"frontage": 0,
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"road_width": 0,
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"has_legal_paper": True,
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},
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)
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assert resp.status_code == 200
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data = resp.json()
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assert data["estimated_price_vnd"] > 0
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assert 0 <= data["confidence"] <= 1
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assert data["price_per_m2"] > 0
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assert data["price_range_low"] < data["estimated_price_vnd"]
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assert data["price_range_high"] > data["estimated_price_vnd"]
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def test_predict_validation_error():
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resp = client.post(
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"/avm/predict",
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json={"area": -10, "district": "", "city": "HN", "property_type": "house"},
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)
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assert resp.status_code == 422
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def test_extract_features():
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text = "Bán căn hộ chung cư 80m2 3 phòng ngủ 2 WC tầng 10 giá 3.5 tỷ sổ đỏ chính chủ"
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resp = client.post("/avm/extract-features", json={"text": text})
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assert resp.status_code == 200
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data = resp.json()
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features = data["features"]
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assert features["area"] == 80.0
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assert features["bedrooms"] == 3
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assert features["bathrooms"] == 2
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assert features["property_type"] == "apartment"
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assert features["has_legal_paper"] is True
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assert features["price_mentioned"] == 3_500_000_000
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def test_extract_features_minimal():
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resp = client.post("/avm/extract-features", json={"text": "Bán nhà riêng"})
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assert resp.status_code == 200
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data = resp.json()
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assert data["features"]["property_type"] == "house"
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