etf/datasource/ccxt_source.py

"""
CCXT 加密货币数据源

通过 CCXT 库从 OKX 获取加密货币 K 线数据
特点：
- 支持 BTC/ETH 等主流加密货币
- 需要通过 socks2http 将 SOCKS5 转 HTTP 代理
- 支持多种 timeframe（1d, 1h, 15m 等）
"""

import os
import time
import threading
from typing import Optional, Dict
from datetime import datetime, timedelta
import pandas as pd

try:
    import ccxt
    CCXT_AVAILABLE = True
except ImportError:
    CCXT_AVAILABLE = False
    print("⚠️ ccxt 未安装，加密货币获取不可用")

from .socks2http import Socks2Http


class CCXTSource:
    """
    CCXT 加密货币数据源
    
    使用 OKX 交易所获取加密货币数据
    需要通过 socks2http 服务将 SSH SOCKS5 代理转为 HTTP 代理
    """
    
    # 支持的 timeframe 映射
    TIMEFRAME_MAP = {
        '1d': '1d',
        '1h': '1h',
        '4h': '4h',
        '15m': '15m',
        '1m': '1m',
        'daily': '1d',
        'hourly': '1h',
    }
    
    # 默认 HTTP 代理端口
    DEFAULT_HTTP_PORT = 8080
    
    # socks2http 服务实例
    _proxy_server: Optional[Socks2Http] = None
    _proxy_thread: Optional[threading.Thread] = None
    _proxy_started = False
    
    def __init__(
        self,
        socks_host: str = '127.0.0.1',
        socks_port: int = 1080,
        http_port: int = 8080,
        exchange: str = 'okx'
    ):
        """
        初始化
        
        Args:
            socks_host: SOCKS5 代理地址
            socks_port: SOCKS5 代理端口
            http_port: HTTP 代理端口（socks2http 转换后）
            exchange: 交易所名称（默认 okx）
        """
        self.socks_host = socks_host
        self.socks_port = socks_port
        self.http_port = http_port
        self.exchange_name = exchange
        self._exchange = None
        
    def start_proxy(self) -> bool:
        """启动 socks2http 代理服务"""
        if self._proxy_started:
            return True
            
        if not CCXT_AVAILABLE:
            print("⚠️ ccxt 未安装，无法启动加密货币数据源")
            return False
        
        try:
            # 启动 socks2http 服务
            self._proxy_server = Socks2Http(
                socks_host=self.socks_host,
                socks_port=self.socks_port,
                http_port=self.http_port
            )
            
            # 在后台线程启动
            self._proxy_thread = threading.Thread(
                target=self._proxy_server.start,
                daemon=True
            )
            self._proxy_thread.start()
            
            # 等待服务启动
            time.sleep(1)
            
            self._proxy_started = True
            print(f"✓ socks2http 代理已启动: http://127.0.0.1:{self.http_port}")
            return True
            
        except Exception as e:
            print(f"✗ 启动 socks2http 代理失败: {e}")
            return False
    
    def stop_proxy(self):
        """停止 socks2http 代理服务"""
        if self._proxy_server:
            self._proxy_server.stop()
            self._proxy_server = None
            self._proxy_started = False
            print("socks2http 代理已停止")
    
    def _create_exchange(self) -> Optional[ccxt.Exchange]:
        """创建交易所实例"""
        if not CCXT_AVAILABLE:
            return None
        
        # 确保 proxy 已启动
        if not self._proxy_started:
            if not self.start_proxy():
                return None
        
        # 配置 CCXT（使用 HTTP 代理）
        config = {
            'enableRateLimit': True,
            'proxies': {
                'http': f'http://127.0.0.1:{self.http_port}',
                'https': f'http://127.0.0.1:{self.http_port}'
            },
            'timeout': 30000,
        }
        
        # 创建交易所实例
        exchange_class = getattr(ccxt, self.exchange_name)
        return exchange_class(config)
    
    def fetch(
        self,
        code: str,
        start_date: str,
        end_date: str,
        timeframe: str = '1d'
    ) -> Optional[pd.DataFrame]:
        """
        获取加密货币 K 线数据
        
        Args:
            code: 加密货币代码（BTC, ETH 等）
            start_date: 开始日期 YYYY-MM-DD
            end_date: 结束日期 YYYY-MM-DD
            timeframe: K 线周期（1d, 1h, 4h, 15m, 1m）
        
        Returns:
            DataFrame with columns: date, open, high, low, close, volume
        """
        if not CCXT_AVAILABLE:
            print(f"⚠️ ccxt 未安装，无法获取 {code}")
            return None
        
        # 创建交易所实例
        if self._exchange is None:
            self._exchange = self._create_exchange()
        
        if self._exchange is None:
            return None
        
        # 转换代码格式：BTC -> BTC/USDT
        symbol = f"{code.upper()}/USDT"
        
        # 转换 timeframe
        tf = self.TIMEFRAME_MAP.get(timeframe.lower(), '1d')
        
        try:
            # 计算时间范围
            start_dt = pd.Timestamp(start_date).tz_localize('Asia/Shanghai')
            end_dt = pd.Timestamp(end_date).tz_localize('Asia/Shanghai')
            
            # 转换为毫秒时间戳
            since = int(start_dt.timestamp() * 1000)
            
            print(f"从 {self.exchange_name} 获取 {symbol} {tf} 数据...")
            print(f"时间范围: {start_date} ~ {end_date}")
            
            # 获取 K 线数据
            ohlcv = self._exchange.fetch_ohlcv(symbol, tf, since, limit=1000)
            
            if not ohlcv:
                print(f"未获取到 {symbol} 数据")
                return None
            
            # 转换为 DataFrame
            df = pd.DataFrame(ohlcv, columns=['timestamp', 'open', 'high', 'low', 'close', 'volume'])
            
            # 转换时间戳为日期索引（UTC -> 北京时间）
            df['date'] = pd.to_datetime(df['timestamp'], unit='ms', utc=True).dt.tz_convert('Asia/Shanghai')
            df = df.set_index('date')
            df = df[['open', 'high', 'low', 'close', 'volume']]
            
            # 过滤日期范围
            df = df.loc[start_dt:end_dt]
            
            print(f"✓ 获取成功: {len(df)} 条数据")
            
            return df
            
        except Exception as e:
            print(f"✗ 获取 {symbol} 失败: {e}")
            return None
    
    def fetch_latest(
        self,
        code: str,
        timeframe: str = '1d',
        limit: int = 100
    ) -> Optional[pd.DataFrame]:
        """
        获取最近 N 条数据
        
        Args:
            code: 加密货币代码
            timeframe: K 线周期
            limit: 数据条数
        
        Returns:
            DataFrame
        """
        if not CCXT_AVAILABLE:
            return None
        
        if self._exchange is None:
            self._exchange = self._create_exchange()
        
        if self._exchange is None:
            return None
        
        symbol = f"{code.upper()}/USDT"
        tf = self.TIMEFRAME_MAP.get(timeframe.lower(), '1d')
        
        try:
            ohlcv = self._exchange.fetch_ohlcv(symbol, tf, limit=limit)
            
            if not ohlcv:
                return None
            
            df = pd.DataFrame(ohlcv, columns=['timestamp', 'open', 'high', 'low', 'close', 'volume'])
            df['date'] = pd.to_datetime(df['timestamp'], unit='ms', utc=True).dt.tz_convert('Asia/Shanghai')
            df = df.set_index('date')
            df = df[['open', 'high', 'low', 'close', 'volume']]
            df.index = df.index.normalize()
            
            return df
            
        except Exception as e:
            print(f"✗ 获取 {symbol} 失败: {e}")
            return None


# 全局实例（延迟初始化）
_crypto_source: Optional[CCXTSource] = None


def get_crypto_source(
    socks_host: str = '127.0.0.1',
    socks_port: int = 1080,
    http_port: int = 8080
) -> CCXTSource:
    """获取加密货币数据源实例"""
    global _crypto_source
    
    if _crypto_source is None:
        _crypto_source = CCXTSource(
            socks_host=socks_host,
            socks_port=socks_port,
            http_port=http_port
        )
    
    return _crypto_source