48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
"""
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TensorFlow 예측 API 엔드포인트
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- GET /predict/{stock_code}: 단일 종목 주가 방향 예측 (LSTM)
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- GET /predict/batch: 복수 종목 일괄 예측
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- GET /status: TF 모델 로드 상태 확인
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"""
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from fastapi import APIRouter, HTTPException, Query
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from typing import List
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import logging
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logger = logging.getLogger(__name__)
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router = APIRouter()
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def _get_predictor():
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try:
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from app.services.tensorflow_predictor import TensorFlowPredictor, TensorFlowNotAvailable
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try:
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return TensorFlowPredictor()
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except TensorFlowNotAvailable as e:
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raise HTTPException(status_code=503, detail=f"TensorFlow predictor unavailable: {e}")
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except Exception as e:
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raise HTTPException(status_code=503, detail=f"TensorFlow unavailable: {e}")
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@router.get("/tf-predictions")
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async def get_tensorflow_predictions(
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codes: str = Query("005930,000660,035420", description="Comma-separated stock codes"),
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top: int = Query(10, ge=1, le=50, description="Top N by expected return")
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):
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predictor = _get_predictor()
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stock_codes: List[str] = [c.strip() for c in codes.split(",") if c.strip()]
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results = []
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for code in stock_codes:
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pred = await predictor.predict_stock(code)
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results.append(pred)
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# Filter out errors, sort by expected_return
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valid = [r for r in results if isinstance(r, dict) and "expected_return" in r]
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valid.sort(key=lambda x: x.get("expected_return", 0.0), reverse=True)
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return {
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"total": len(valid),
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"requested": stock_codes,
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"predictions": valid[:top],
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"errors": [r for r in results if "error" in r]
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}
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