a

api.py

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+import asyncio, json
+from typing import Literal
+from fastapi import FastAPI
+from models import get_session, get_engine, Candle
+import pandas as pd, pandas_ta as ta
+
+
+session = get_session()
+app = FastAPI()
+
+
+def get_ticker_all(
+        contract: str,
+        target_interval: Literal['1m', '5m', '15m', '30m', '1h', '4h', '1d', '1w']
+):
+    print(target_interval)
+    """
+    10초 간격 캔들 데이터를 지정된 봉으로 리샘플링
+
+    Args:
+        df: 원본 10초 데이터 (index=ts, columns=open, high, low, close, volume)
+        contract: 계약명 (필터링용)
+        target_interval: 목표 봉 (예: '1m', '1h', '1d')
+
+    Returns:
+        pd.DataFrame: 리샘플링된 OHLCV 데이터
+    """
+    results = session.query(Candle).filter(Candle.contract.like(f'%{contract}%')).all()
+
+    df = pd.DataFrame([row.__dict__ for row in results])
+
+    # 2. time 컬럼을 datetime으로 변환 (밀리초 -> 초 -> datetime)
+    df['ts'] = pd.to_datetime(df['time'], unit='s')  # or 's' if in seconds
+
+    # 3. index로 설정
+    df.set_index('ts', inplace=True)
+
+    # 4. resample 주기 설정
+    freq_map = {
+        '1m': '1Min',
+        '5m': '5Min',
+        '15m': '15Min',
+        '30m': '30Min',
+        '1h': '1H',
+        '4h': '4H',
+        '1d': '1D',
+        '1w': '1W'
+    }
+
+    if target_interval not in freq_map:
+        raise ValueError(f"Unsupported interval: {target_interval}")
+
+    freq = freq_map[target_interval]
+
+    # 4. 리샘플링 (OHLCV)
+    ohlc = df['close'].resample(freq).ohlc()  # open, high, low, close
+    volume = df['volume'].resample(freq).sum().rename('volume')
+
+    # 5. 병합
+    result = pd.concat([ohlc, volume], axis=1).dropna()
+
+    # 6. ✅ index(datetime)를 'time' 컬럼으로 유닉스 밀리초 추가
+    result['time'] = (result.index.astype('int64') // 1_000_000_000)  # 나노초 → 밀리초 (int64)
+    # 또는 밀리초 단위로 정확히:
+    result['time'] = result.index.view('int64') // 1_000_000_000  # pd.Timestamp → 유닉스 ms
+
+    # 7. (옵션) 'time'을 맨 앞으로 이동
+    cols = ['time', 'open', 'high', 'low', 'close', 'volume']
+    result = result[cols]
+    result.tail(1)
+
+    return result
+
+@app.get("/api/candle/{contract}/{time}")
+def get_candle(contract: str, time: str):
+    results = get_ticker_all(contract, time)
+
+    dict_row = pd.DataFrame(results).to_json(orient='table')
+    # payload = json.dumps({"msg": dict_row}, default=str, ensure_ascii=False)
+    return json.loads(dict_row)
+
+@app.get("/")
+async def test():
+    return {"msg":"hello"}