TIANHE
200 lines
7.1 KiB
Python
200 lines
7.1 KiB
Python
"""
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加密货币数据源
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使用 CCXT (Binance) 获取数据
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"""
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from typing import Dict, List, Any, Optional
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from datetime import datetime, timedelta
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import ccxt
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from app.data_sources.base import BaseDataSource, TIMEFRAME_SECONDS
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from app.utils.logger import get_logger
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from app.config import CCXTConfig, APIKeys
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logger = get_logger(__name__)
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class CryptoDataSource(BaseDataSource):
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"""加密货币数据源"""
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name = "Crypto/CCXT"
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# 时间周期映射
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TIMEFRAME_MAP = CCXTConfig.TIMEFRAME_MAP
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def __init__(self):
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config = {
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'timeout': CCXTConfig.TIMEOUT,
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'enableRateLimit': CCXTConfig.ENABLE_RATE_LIMIT
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}
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# 如果配置了代理
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if CCXTConfig.PROXY:
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config['proxies'] = {
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'http': CCXTConfig.PROXY,
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'https': CCXTConfig.PROXY
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}
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self.exchange = ccxt.binance(config)
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def get_ticker(self, symbol: str) -> Dict[str, Any]:
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"""
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Get latest ticker for a crypto symbol via CCXT (Binance).
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Accepts common formats:
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- BTC/USDT
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- BTCUSDT
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- BTC/USDT:USDT (swap-style suffix, will be normalized)
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"""
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sym = (symbol or "").strip()
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if ":" in sym:
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sym = sym.split(":", 1)[0]
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sym = sym.upper()
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if "/" not in sym:
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if sym.endswith("USDT") and len(sym) > 4:
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sym = f"{sym[:-4]}/USDT"
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elif sym.endswith("USD") and len(sym) > 3:
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sym = f"{sym[:-3]}/USD"
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return self.exchange.fetch_ticker(sym)
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def get_kline(
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self,
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symbol: str,
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timeframe: str,
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limit: int,
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before_time: Optional[int] = None
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) -> List[Dict[str, Any]]:
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"""获取加密货币K线数据"""
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klines = []
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try:
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ccxt_timeframe = self.TIMEFRAME_MAP.get(timeframe, '1d')
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# 构建交易对符号
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if not symbol.endswith('USDT') and not symbol.endswith('USD'):
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symbol_pair = f'{symbol}/USDT'
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else:
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symbol_pair = symbol
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# logger.info(f"获取加密货币K线: {symbol_pair}, 周期: {ccxt_timeframe}, 条数: {limit}")
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ohlcv = self._fetch_ohlcv(symbol_pair, ccxt_timeframe, limit, before_time, timeframe)
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if not ohlcv:
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logger.warning(f"CCXT returned no K-lines: {symbol_pair}")
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return []
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# 转换数据格式
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for candle in ohlcv:
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if len(candle) < 6:
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continue
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klines.append(self.format_kline(
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timestamp=int(candle[0] / 1000), # 毫秒转秒
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open_price=candle[1],
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high=candle[2],
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low=candle[3],
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close=candle[4],
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volume=candle[5]
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))
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# 过滤和限制
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klines = self.filter_and_limit(klines, limit, before_time)
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# 记录结果
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self.log_result(symbol, klines, timeframe)
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except Exception as e:
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logger.error(f"Failed to fetch crypto K-lines {symbol}: {str(e)}")
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import traceback
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logger.error(traceback.format_exc())
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return klines
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def _fetch_ohlcv(
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self,
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symbol_pair: str,
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ccxt_timeframe: str,
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limit: int,
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before_time: Optional[int],
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timeframe: str
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) -> List:
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"""获取OHLCV数据（支持分页获取完整数据）"""
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try:
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if before_time:
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# 计算时间范围
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total_seconds = self.calculate_time_range(timeframe, limit)
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end_time = datetime.fromtimestamp(before_time)
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start_time = end_time - timedelta(seconds=total_seconds)
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since = int(start_time.timestamp() * 1000)
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end_ms = before_time * 1000
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# logger.info(f"历史数据请求: since={since//1000}, end={before_time}, 时间跨度={total_seconds/86400:.1f}天")
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# 分页获取数据，直到覆盖完整时间范围
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all_ohlcv = []
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batch_limit = 1000 # Binance 单次最大返回量
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current_since = since
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while current_since < end_ms:
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batch = self.exchange.fetch_ohlcv(
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symbol_pair,
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ccxt_timeframe,
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since=current_since,
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limit=batch_limit
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)
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if not batch:
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break
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all_ohlcv.extend(batch)
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# 获取最后一条数据的时间，作为下次请求的起始时间
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last_timestamp = batch[-1][0]
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# 如果最后一条数据时间超过了结束时间，或者返回数据少于请求量，说明已经获取完毕
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if last_timestamp >= end_ms or len(batch) < batch_limit:
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break
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# 下次从最后一条的下一个时间点开始
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timeframe_ms = TIMEFRAME_SECONDS.get(timeframe, 86400) * 1000
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current_since = last_timestamp + timeframe_ms
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# logger.info(f"分页获取中: 已获取 {len(all_ohlcv)} 条, 继续从 {datetime.fromtimestamp(current_since/1000)}")
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ohlcv = all_ohlcv
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else:
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ohlcv = self.exchange.fetch_ohlcv(symbol_pair, ccxt_timeframe, limit=limit)
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# logger.info(f"CCXT 返回 {len(ohlcv) if ohlcv else 0} 条数据")
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return ohlcv
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except Exception as e:
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logger.warning(f"CCXT fetch_ohlcv failed: {str(e)}; trying fallback")
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return self._fetch_ohlcv_fallback(symbol_pair, ccxt_timeframe, limit, before_time, timeframe)
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def _fetch_ohlcv_fallback(
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self,
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symbol_pair: str,
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ccxt_timeframe: str,
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limit: int,
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before_time: Optional[int],
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timeframe: str
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) -> List:
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"""备用获取方法"""
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try:
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total_seconds = self.calculate_time_range(timeframe, limit)
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if before_time:
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end_time = datetime.fromtimestamp(before_time)
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start_time = end_time - timedelta(seconds=total_seconds)
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since = int(start_time.timestamp() * 1000)
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else:
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since = int((datetime.now() - timedelta(seconds=total_seconds)).timestamp() * 1000)
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ohlcv = self.exchange.fetch_ohlcv(symbol_pair, ccxt_timeframe, since=since, limit=limit)
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# logger.info(f"CCXT 备用方法返回 {len(ohlcv) if ohlcv else 0} 条数据")
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return ohlcv
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except Exception as e:
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logger.error(f"CCXT fallback method also failed: {str(e)}")
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return []
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