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DinQuant/backend_api_python/app/data_sources/futures.py
T
TIANHE f43312a858 creat
Signed-off-by: TIANHE <TIANHE@GMAIL.COM>
2025-12-29 03:06:49 +08:00

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"""
期货数据源
支持:
1. 加密货币期货(Binance Futures via CCXT
2. 传统期货(Yahoo Finance
"""
from typing import Dict, List, Any, Optional
from datetime import datetime, timedelta
import ccxt
import yfinance as yf
from app.data_sources.base import BaseDataSource, TIMEFRAME_SECONDS
from app.utils.logger import get_logger
from app.config import CCXTConfig, APIKeys
logger = get_logger(__name__)
class FuturesDataSource(BaseDataSource):
"""期货数据源"""
name = "Futures"
# Yahoo Finance时间周期映射
YF_TIMEFRAME_MAP = {
'1m': '1m',
'5m': '5m',
'15m': '15m',
'30m': '30m',
'1H': '1h',
'4H': '4h',
'1D': '1d',
'1W': '1wk'
}
# CCXT时间周期映射
CCXT_TIMEFRAME_MAP = CCXTConfig.TIMEFRAME_MAP
# 传统期货合约代码(Yahoo Finance
YF_SYMBOLS = {
'GC': 'GC=F', # 黄金期货
'SI': 'SI=F', # 白银期货
'CL': 'CL=F', # 原油期货
'NG': 'NG=F', # 天然气期货
'ZC': 'ZC=F', # 玉米期货
'ZW': 'ZW=F', # 小麦期货
}
def __init__(self):
# 初始化CCXT(用于加密货币期货)
config = {
'timeout': CCXTConfig.TIMEOUT,
'enableRateLimit': CCXTConfig.ENABLE_RATE_LIMIT,
'options': {
'defaultType': 'future'
}
}
if CCXTConfig.PROXY:
config['proxies'] = {
'http': CCXTConfig.PROXY,
'https': CCXTConfig.PROXY
}
self.exchange = ccxt.binance(config)
def get_ticker(self, symbol: str) -> Dict[str, Any]:
"""
Get latest ticker for futures symbol.
- For crypto futures, uses CCXT Binance futures client.
- For traditional futures (Yahoo Finance symbols), returns a minimal ticker shape with `last`.
"""
sym = (symbol or "").strip()
if sym in self.YF_SYMBOLS or sym.endswith("=F"):
try:
yf_symbol = self.YF_SYMBOLS.get(sym, sym)
if not yf_symbol.endswith("=F"):
yf_symbol = yf_symbol + "=F"
t = yf.Ticker(yf_symbol)
# Prefer fast_info if available, fall back to last close
last = None
try:
last = getattr(t, "fast_info", {}).get("last_price")
except Exception:
last = None
if last is None:
hist = t.history(period="2d", interval="1d")
if hist is not None and not hist.empty:
last = float(hist["Close"].iloc[-1])
return {"symbol": yf_symbol, "last": float(last or 0.0)}
except Exception:
return {"symbol": sym, "last": 0.0}
if ":" in sym:
sym = sym.split(":", 1)[0]
sym = sym.upper()
if "/" not in sym:
if sym.endswith("USDT") and len(sym) > 4:
sym = f"{sym[:-4]}/USDT"
elif sym.endswith("USD") and len(sym) > 3:
sym = f"{sym[:-3]}/USD"
return self.exchange.fetch_ticker(sym)
def _get_timeframe_seconds(self, timeframe: str) -> int:
"""获取时间周期对应的秒数"""
return TIMEFRAME_SECONDS.get(timeframe, 86400)
def get_kline(
self,
symbol: str,
timeframe: str,
limit: int,
before_time: Optional[int] = None
) -> List[Dict[str, Any]]:
"""
获取期货K线数据
Args:
symbol: 期货合约代码
timeframe: 时间周期
limit: 数据条数
before_time: 结束时间戳
"""
# 判断是传统期货还是加密货币期货
if symbol in self.YF_SYMBOLS or symbol.endswith('=F'):
return self._get_traditional_futures(symbol, timeframe, limit, before_time)
else:
return self._get_crypto_futures(symbol, timeframe, limit, before_time)
def _get_traditional_futures(
self,
symbol: str,
timeframe: str,
limit: int,
before_time: Optional[int] = None
) -> List[Dict[str, Any]]:
"""使用yfinance获取传统期货数据"""
try:
# 转换symbol格式
yf_symbol = self.YF_SYMBOLS.get(symbol, symbol)
if not yf_symbol.endswith('=F'):
yf_symbol = symbol + '=F'
# 转换时间周期
yf_interval = self.YF_TIMEFRAME_MAP.get(timeframe, '1d')
# logger.info(f"获取传统期货K线: {yf_symbol}, 周期: {yf_interval}, 条数: {limit}")
# 计算时间范围
if before_time:
end_time = datetime.fromtimestamp(before_time)
else:
end_time = datetime.now()
tf_seconds = self._get_timeframe_seconds(timeframe)
start_time = end_time - timedelta(seconds=tf_seconds * limit * 1.5)
# 获取数据
ticker = yf.Ticker(yf_symbol)
df = ticker.history(
start=start_time,
end=end_time,
interval=yf_interval
)
if df.empty:
logger.warning(f"No data: {yf_symbol}")
return []
# 转换格式
klines = []
for index, row in df.iterrows():
klines.append({
'time': int(index.timestamp()),
'open': float(row['Open']),
'high': float(row['High']),
'low': float(row['Low']),
'close': float(row['Close']),
'volume': float(row['Volume'])
})
klines.sort(key=lambda x: x['time'])
if len(klines) > limit:
klines = klines[-limit:]
# logger.info(f"获取到 {len(klines)} 条传统期货数据")
return klines
except Exception as e:
logger.error(f"Failed to fetch traditional futures data: {e}")
return []
def _get_crypto_futures(
self,
symbol: str,
timeframe: str,
limit: int,
before_time: Optional[int] = None
) -> List[Dict[str, Any]]:
"""使用CCXT获取加密货币期货数据"""
try:
# 确保symbol格式正确
ccxt_symbol = symbol if '/' in symbol else f"{symbol}/USDT"
ccxt_timeframe = self.CCXT_TIMEFRAME_MAP.get(timeframe, '1d')
# logger.info(f"获取加密货币期货K线: {ccxt_symbol}, 周期: {ccxt_timeframe}, 条数: {limit}")
# 获取数据
if before_time:
since_time = before_time - limit * self._get_timeframe_seconds(timeframe)
ohlcv = self.exchange.fetch_ohlcv(
ccxt_symbol,
ccxt_timeframe,
since=since_time * 1000,
limit=limit
)
else:
ohlcv = self.exchange.fetch_ohlcv(
ccxt_symbol,
ccxt_timeframe,
limit=limit
)
# 转换格式
klines = []
for candle in ohlcv:
klines.append({
'time': int(candle[0] / 1000),
'open': float(candle[1]),
'high': float(candle[2]),
'low': float(candle[3]),
'close': float(candle[4]),
'volume': float(candle[5])
})
# logger.info(f"获取到 {len(klines)} 条加密货币期货数据")
return klines
except Exception as e:
logger.error(f"Failed to fetch crypto futures data: {e}")
return []