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# TQSDK数据适配器
import os
import time
import pandas as pd
from typing import Dict, Optional, List
from qihuo_analyzer.data.api_adapters.base_adapter import BaseDataAdapter
# 尝试导入tqsdk
try:
from tqsdk import TqApi, TqAuth
TQSDK_AVAILABLE = True
except Exception as e:
print(f"tqsdk导入失败{e},将使用模拟数据")
TQSDK_AVAILABLE = False
class TqSdkAdapter(BaseDataAdapter):
"""TQSDK数据适配器
使用天勤TQSDK获取期货数据
"""
def __init__(self):
self.api = None
# 交易所映射
self.exchange_map = {
'AU': 'SHFE', # 黄金 - 上海期货交易所
'AG': 'SHFE', # 白银 - 上海期货交易所
'CU': 'SHFE', # 铜 - 上海期货交易所
'NI': 'SHFE', # 镍 - 上海期货交易所
'SN': 'SHFE', # 锡 - 上海期货交易所
}
def connect(self) -> bool:
"""连接API
Returns:
bool: 连接是否成功
"""
try:
if TQSDK_AVAILABLE:
# 使用天勤TQSDK连接
username = os.getenv('TQSDK_USERNAME', '')
password = os.getenv('TQSDK_PASSWORD', '')
if username and password:
self.api = TqApi(auth=TqAuth(username, password))
print("TQSDK API连接成功")
return True
else:
print("TQSDK账号密码未配置将使用模拟数据")
self.api = None
return False
else:
# 模拟API用于测试
print("TQSDK不可用使用模拟API")
self.api = None
return False
except Exception as e:
print(f"TQSDK API连接失败{e}")
# 模拟API用于测试
self.api = None
return False
def disconnect(self):
"""断开连接"""
if self.api:
try:
self.api.close()
print("TQSDK API连接已断开")
except:
pass
def _convert_duration(self, duration: str) -> int:
"""将时间周期字符串转换为分钟数
Args:
duration: 时间周期 '1m', '5m', '15m', '1h', '1d'
Returns:
分钟数
"""
duration_map = {
'1m': 1,
'5m': 5,
'15m': 15,
'30m': 30,
'1h': 60,
'2h': 120,
'4h': 240,
'6h': 360,
'12h': 720,
'1d': 1440,
'1w': 10080
}
return duration_map.get(duration, 60) # 默认60分钟
def _convert_symbol(self, symbol: str) -> str:
"""将合约代码转换为TQSDK格式
Args:
symbol: 合约代码 'CU2603'
Returns:
TQSDK格式的合约代码 'SHFE.cu2603'
"""
# 提取品种代码和合约月份
if len(symbol) >= 4:
# 3字符品种代码
if len(symbol) >= 5:
product_code = symbol[:3].upper()
if product_code in self.exchange_map:
contract_month = symbol[3:].lower()
exchange = self.exchange_map[product_code]
return f"{exchange}.{product_code.lower()}{contract_month}"
# 2字符品种代码
product_code = symbol[:2].upper()
if product_code in self.exchange_map:
contract_month = symbol[2:].lower()
exchange = self.exchange_map[product_code]
return f"{exchange}.{product_code.lower()}{contract_month}"
# 1字符品种代码
product_code = symbol[:1].upper()
if product_code in self.exchange_map:
contract_month = symbol[1:].lower()
exchange = self.exchange_map[product_code]
return f"{exchange}.{product_code.lower()}{contract_month}"
# 无法识别的合约代码,返回原始代码
return symbol
else:
return symbol
def get_kline_data(self, symbol: str, duration: str, count: int = 200) -> Optional[pd.DataFrame]:
"""获取K线数据
Args:
symbol: 合约代码
duration: 时间周期 '1m', '5m', '15m', '1h', '1d'
count: 数据数量
Returns:
K线数据DataFrame如果无法获取真实数据则返回None
"""
print(f"[TqSdkAdapter]获取K线数据: {symbol}, {duration}, {count}")
try:
if TQSDK_AVAILABLE and self.api:
# 转换合约代码为TQSDK格式
tq_symbol = self._convert_symbol(symbol)
print(f"使用TQSDK格式合约代码: {tq_symbol}")
# 转换时间周期为分钟数
duration_minutes = self._convert_duration(duration)
# 使用真实API获取数据
klines = self.api.get_kline_serial(tq_symbol, duration_minutes, data_length=count)
# 等待数据准备就绪
import time
start_time = time.time()
timeout = 5 # 5秒超时
while True:
if hasattr(klines, 'datetime') and len(klines.datetime) > 0:
break
if time.time() - start_time > timeout:
print("获取K线数据超时")
return None
time.sleep(0.1)
# 转换为DataFrame
data = {
'datetime': klines.datetime,
'open': klines.open,
'high': klines.high,
'low': klines.low,
'close': klines.close,
'volume': klines.volume,
'open_interest': klines.open_oi
}
df = pd.DataFrame(data)
df['datetime'] = pd.to_datetime(df['datetime'], unit='ns')
df.set_index('datetime', inplace=True)
print(f"成功获取K线数据数据长度: {len(df)}")
return df
else:
# 不再自动返回模拟数据返回None
print(f"无法获取真实数据:{'API未连接' if not self.api else 'TQSDK不可用'}")
return None
except Exception as e:
print(f"获取K线数据失败{e}")
# 不再自动返回模拟数据返回None
return None
def get_tick_data(self, symbol: str, count: int = 1000) -> Optional[pd.DataFrame]:
"""获取Tick数据"""
try:
if TQSDK_AVAILABLE and self.api:
# 使用真实API获取数据
ticks = self.api.get_tick_serial(symbol, data_length=count)
self.api.wait_update()
# 转换为DataFrame
data = {
'datetime': ticks.datetime,
'last_price': ticks.last_price,
'volume': ticks.volume,
'open_interest': ticks.open_interest,
'bid_price1': ticks.bid_price1,
'bid_volume1': ticks.bid_volume1,
'ask_price1': ticks.ask_price1,
'ask_volume1': ticks.ask_volume1
}
df = pd.DataFrame(data)
df['datetime'] = pd.to_datetime(df['datetime'], unit='ns')
df.set_index('datetime', inplace=True)
return df
else:
# 返回模拟数据
print(f"无法获取真实数据:{'API未连接' if not self.api else 'TQSDK不可用'}")
return None
except Exception as e:
print(f"获取Tick数据失败{e}")
return None
def get_contract_info(self, symbol: str) -> Optional[Dict]:
"""获取合约信息"""
try:
if TQSDK_AVAILABLE and self.api:
# 使用真实API获取数据
quote = self.api.get_quote(symbol)
self.api.wait_update()
return {
'symbol': symbol,
'name': quote.instrument_name,
'exchange': quote.exchange_id,
'product': quote.product_id,
'price_tick': quote.price_tick,
'volume_multiple': quote.volume_multiple,
'margin_rate': quote.margin_rate,
'expire_datetime': quote.expire_datetime,
'create_datetime': quote.create_datetime
}
else:
# 返回模拟数据
print(f"无法获取真实数据:{'API未连接' if not self.api else 'TQSDK不可用'}")
return None
except Exception as e:
print(f"获取合约信息失败:{e}")
return None
def get_market_data(self, symbols: List[str]) -> Dict[str, Dict]:
"""批量获取市场数据"""
market_data = {}
for symbol in symbols:
try:
if TQSDK_AVAILABLE and self.api:
quote = self.api.get_quote(symbol)
self.api.wait_update()
market_data[symbol] = {
'latest_price': quote.last_price,
'open': quote.open,
'high': quote.high,
'low': quote.low,
'pre_close': quote.pre_close,
'volume': quote.volume,
'open_interest': quote.open_interest,
'bid_price1': quote.bid_price1,
'ask_price1': quote.ask_price1
}
else:
# 模拟数据
market_data[symbol] = {
'latest_price': 0,
'open': 0,
'high': 0,
'low': 0,
'pre_close': 0,
'volume': 0,
'open_interest': 0,
'bid_price1': 0,
'ask_price1': 0
}
except Exception as e:
print(f"获取{symbol}市场数据失败:{e}")
market_data[symbol] = {
'latest_price': 0,
'open': 0,
'high': 0,
'low': 0,
'pre_close': 0,
'volume': 0,
'open_interest': 0,
'bid_price1': 0,
'ask_price1': 0
}
return market_data
def get_all_symbols(self) -> List[str]:
"""获取所有品种列表
Returns:
List[str]: 所有品种的合约代码列表
"""
try:
if TQSDK_AVAILABLE and self.api:
# TQSDK 没有直接获取所有品种列表的方法,使用模拟数据
print("TQSDK 不支持获取所有品种列表,使用模拟数据")
return self._get_mock_all_symbols()
else:
# 返回模拟数据
print("使用模拟品种列表")
return self._get_mock_all_symbols()
except Exception as e:
print(f"获取所有品种列表失败:{e}")
return self._get_mock_all_symbols()
def _get_mock_all_symbols(self) -> List[str]:
"""获取模拟品种列表"""
# 返回exchange_map中映射的所有品种
symbols = []
# 为每个品种生成一个合约代码使用2603月份
for product_code in self.exchange_map:
# 生成合约代码,格式:品种代码+2603
contract_code = f"{product_code}2603"
symbols.append(contract_code)
print(f"模拟品种列表: {symbols}")
return symbols