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

616 lines
23 KiB
Python

"""
CN/HK stock data source.
Supports A-Share and H-Share with multiple public sources.
Priority (AShare): Eastmoney (intraday/daily) > yfinance (daily) > akshare (daily, optional).
Priority (HShare): Tencent (intraday) > Eastmoney/Tencent (daily) > yfinance (daily) > akshare (daily, optional).
"""
import json
from typing import Dict, List, Any, Optional
from datetime import datetime, timedelta
import requests
import yfinance as yf
from app.data_sources.base import BaseDataSource
from app.data_sources.us_stock import USStockDataSource
from app.utils.logger import get_logger
from app.utils.http import get_retry_session
logger = get_logger(__name__)
# Optional dependency: akshare
try:
import akshare as ak # type: ignore
HAS_AKSHARE = True
logger.debug("akshare is available")
except ImportError:
HAS_AKSHARE = False
# Keep it quiet to avoid noisy startup logs on Windows.
logger.debug("akshare is not installed; akshare-based features are disabled")
class TencentDataMixin:
"""Tencent quote API mixin (mostly for H-Share and legacy fallback)."""
# 腾讯 K 线周期映射(注意:腾讯分钟级接口不支持240分钟,4H需要特殊处理)
TENCENT_PERIOD_MAP = {
'1m': 1,
'5m': 5,
'15m': 15,
'30m': 30,
'1H': 60,
'1D': 'day',
'1W': 'week'
}
def _fetch_tencent_kline(
self,
symbol_code: str,
timeframe: str,
limit: int
) -> List[Dict[str, Any]]:
"""
使用腾讯财经接口获取K线数据
Args:
symbol_code: 腾讯格式的代码 (sh600000, sz000001, hk00700)
timeframe: 时间周期
limit: 数据条数
"""
klines = []
# 4H 需要特殊处理:获取1H数据然后聚合
if timeframe == '4H':
return self._fetch_and_aggregate_4h(symbol_code, limit)
try:
period = self.TENCENT_PERIOD_MAP.get(timeframe)
if period is None:
logger.warning(f"Unsupported timeframe: {timeframe}")
return []
# 构建请求URL
if isinstance(period, int):
# 分钟级数据
url = f"http://ifzq.gtimg.cn/appstock/app/kline/mkline?param={symbol_code},m{period},,{limit}"
else:
# 日线/周线数据
url = f"http://web.ifzq.gtimg.cn/appstock/app/fqkline/get?param={symbol_code},{period},,,{limit},qfq"
# logger.info(f"腾讯财经请求: {symbol_code}, 周期: {timeframe}, URL: {url[:80]}...")
session = get_retry_session()
response = session.get(url, timeout=10)
if response.status_code != 200:
logger.warning(f"Tencent quote returned status: {response.status_code}")
return []
data = response.json()
# 解析响应数据
if data.get('code') == 0 and 'data' in data:
stock_data = data['data'].get(symbol_code)
if stock_data:
# 分钟级数据格式
if isinstance(period, int):
candles = stock_data.get(f'm{period}', [])
else:
# 日线/周线数据格式
candles = stock_data.get('qfqday', stock_data.get('day', []))
for candle in candles:
if len(candle) >= 5:
# 解析时间
time_str = str(candle[0])
try:
if len(time_str) == 12: # 分钟级: 202411301430
dt = datetime.strptime(time_str, '%Y%m%d%H%M')
elif len(time_str) == 10: # 日线: 2024-11-30
dt = datetime.strptime(time_str, '%Y-%m-%d')
else:
continue
klines.append(self.format_kline(
timestamp=int(dt.timestamp()),
open_price=float(candle[1]),
high=float(candle[3]),
low=float(candle[4]),
close=float(candle[2]),
volume=float(candle[5]) if len(candle) > 5 else 0
))
except (ValueError, IndexError) as e:
logger.debug(f"Failed to parse kline candle: {candle}, error: {e}")
continue
# logger.info(f"腾讯财经返回 {len(klines)} 条数据")
else:
logger.warning(f"Tencent quote returned unexpected data: code={data.get('code')}")
except Exception as e:
logger.error(f"Tencent quote fetch failed: {e}")
import traceback
logger.error(traceback.format_exc())
return klines
def _fetch_and_aggregate_4h(self, symbol_code: str, limit: int) -> List[Dict[str, Any]]:
"""获取1H数据并聚合为4H"""
# 获取足够多的1H数据
hour_klines = self._fetch_tencent_kline(symbol_code, '1H', limit * 4 + 10)
if not hour_klines:
return []
# 按4小时聚合
aggregated = []
i = 0
while i < len(hour_klines):
# 取4根K线
batch = hour_klines[i:i+4]
if len(batch) < 4:
break
aggregated.append(self.format_kline(
timestamp=batch[0]['time'],
open_price=batch[0]['open'],
high=max(k['high'] for k in batch),
low=min(k['low'] for k in batch),
close=batch[-1]['close'],
volume=sum(k['volume'] for k in batch)
))
i += 4
# logger.info(f"聚合生成 {len(aggregated)} 条 4H 数据")
return aggregated[-limit:] if len(aggregated) > limit else aggregated
class AShareDataSource(BaseDataSource, TencentDataMixin):
"""A-Share data source."""
name = "AShare"
# akshare 时间周期映射
AKSHARE_PERIOD_MAP = {
'1D': 'daily',
'1W': 'weekly'
}
# 东方财富 K 线周期映射
EM_PERIOD_MAP = {
'1m': '1',
'5m': '5',
'15m': '15',
'30m': '30',
'1H': '60',
'4H': '240',
'1D': '101',
'1W': '102',
}
def __init__(self):
self.us_stock_source = USStockDataSource()
def get_kline(
self,
symbol: str,
timeframe: str,
limit: int,
before_time: Optional[int] = None
) -> List[Dict[str, Any]]:
"""Fetch A-Share Kline data."""
klines = []
# Prefer Eastmoney (supports most intraday timeframes)
klines = self._fetch_eastmoney_ashare(symbol, timeframe, limit)
if klines:
klines = self.filter_and_limit(klines, limit, before_time)
self.log_result(symbol, klines, timeframe)
return klines
# Fallback: yfinance (daily/weekly)
if timeframe in ('1D', '1W'):
yahoo_symbol = self._to_yahoo_symbol(symbol)
if yahoo_symbol:
# logger.info(f"尝试使用 yfinance 获取A股: {yahoo_symbol}")
klines = self.us_stock_source.get_kline(yahoo_symbol, timeframe, limit, before_time)
if klines:
# logger.info(f"yfinance 成功获取 {len(klines)} 条A股数据")
return klines
# Fallback: akshare (daily/weekly)
if HAS_AKSHARE and timeframe in self.AKSHARE_PERIOD_MAP:
klines = self._fetch_akshare(symbol, timeframe, limit, before_time)
if klines:
return klines
logger.warning(f"AShare {symbol} data fetch failed")
return klines
def _to_tencent_symbol(self, symbol: str) -> Optional[str]:
"""转换为腾讯财经格式"""
if symbol.startswith('6'):
return f"sh{symbol}"
elif symbol.startswith('0') or symbol.startswith('3'):
return f"sz{symbol}"
elif symbol.startswith('4') or symbol.startswith('8'):
return f"bj{symbol}" # 北交所
return None
def _to_yahoo_symbol(self, symbol: str) -> Optional[str]:
"""转换为 Yahoo Finance 格式"""
if symbol.startswith('6'):
return f"{symbol}.SS"
elif symbol.startswith('0') or symbol.startswith('3'):
return f"{symbol}.SZ"
elif symbol.startswith('4') or symbol.startswith('8'):
return f"{symbol}.BJ"
return None
def _fetch_eastmoney_ashare(
self,
symbol: str,
timeframe: str,
limit: int
) -> List[Dict[str, Any]]:
"""使用东方财富获取A股数据"""
klines = []
period = self.EM_PERIOD_MAP.get(timeframe)
if not period:
logger.warning(f"Eastmoney unsupported timeframe: {timeframe}")
return []
try:
# 确定市场代码: 上海=1, 深圳=0, 北交所=0
if symbol.startswith('6'):
secid = f"1.{symbol}"
else:
secid = f"0.{symbol}"
# 东方财富K线接口
url = f"https://push2his.eastmoney.com/api/qt/stock/kline/get"
params = {
'secid': secid,
'fields1': 'f1,f2,f3,f4,f5,f6',
'fields2': 'f51,f52,f53,f54,f55,f56,f57',
'klt': period,
'fqt': '1', # 前复权
'end': '20500101',
'lmt': limit,
}
# logger.info(f"东方财富A股请求: {symbol}, 周期: {timeframe}")
# 添加浏览器请求头
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
'Referer': 'https://quote.eastmoney.com/',
'Accept': 'application/json, text/plain, */*',
'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
}
session = get_retry_session()
response = session.get(url, params=params, headers=headers, timeout=15)
if response.status_code != 200:
logger.warning(f"Eastmoney HTTP status: {response.status_code}")
return []
data = response.json()
# 解析响应
if data.get('data') and data['data'].get('klines'):
for line in data['data']['klines']:
try:
parts = line.split(',')
if len(parts) >= 6:
time_str = parts[0]
if ' ' in time_str:
dt = datetime.strptime(time_str, '%Y-%m-%d %H:%M')
else:
dt = datetime.strptime(time_str, '%Y-%m-%d')
klines.append(self.format_kline(
timestamp=int(dt.timestamp()),
open_price=float(parts[1]),
high=float(parts[3]),
low=float(parts[4]),
close=float(parts[2]),
volume=float(parts[5])
))
except (ValueError, IndexError) as e:
logger.debug(f"Failed to parse Eastmoney data line: {line}, error: {e}")
continue
# logger.info(f"东方财富返回 {len(klines)} 条A股数据")
else:
logger.warning("Eastmoney returned no data")
except Exception as e:
logger.error(f"Eastmoney A-share fetch failed: {e}")
import traceback
logger.error(traceback.format_exc())
return klines
def _fetch_akshare(
self,
symbol: str,
timeframe: str,
limit: int,
before_time: Optional[int]
) -> List[Dict[str, Any]]:
"""使用 akshare 获取数据"""
klines = []
try:
period = self.AKSHARE_PERIOD_MAP.get(timeframe, 'daily')
# 计算日期范围
if before_time:
end_date = datetime.fromtimestamp(before_time).strftime('%Y%m%d')
else:
end_date = datetime.now().strftime('%Y%m%d')
days = limit * 2 if timeframe == '1D' else limit * 10
start_date = (datetime.now() - timedelta(days=days)).strftime('%Y%m%d')
# logger.info(f"使用 akshare 获取A股: {symbol}, 周期: {period}")
df = ak.stock_zh_a_hist(
symbol=symbol,
period=period,
start_date=start_date,
end_date=end_date,
adjust="qfq" # 前复权
)
if df is not None and not df.empty:
df = df.tail(limit)
for _, row in df.iterrows():
ts = int(datetime.strptime(str(row['日期']), '%Y-%m-%d').timestamp())
klines.append(self.format_kline(
timestamp=ts,
open_price=row['开盘'],
high=row['最高'],
low=row['最低'],
close=row['收盘'],
volume=row['成交量']
))
# logger.info(f"akshare 返回 {len(klines)} 条A股数据")
except Exception as e:
logger.error(f"Akshare A-share fetch failed: {e}")
import traceback
logger.error(traceback.format_exc())
return klines
class HShareDataSource(BaseDataSource, TencentDataMixin):
"""港股数据源"""
name = "HShare"
def __init__(self):
self.us_stock_source = USStockDataSource()
def get_kline(
self,
symbol: str,
timeframe: str,
limit: int,
before_time: Optional[int] = None
) -> List[Dict[str, Any]]:
"""获取港股K线数据"""
klines = []
# 方案1: 腾讯财经 (港股日线/周线首选,稳定可靠)
if timeframe in ('1D', '1W'):
tencent_symbol = self._to_tencent_symbol(symbol)
if tencent_symbol:
# logger.info(f"尝试使用腾讯财经获取港股: {tencent_symbol}")
klines = self._fetch_tencent_kline(tencent_symbol, timeframe, limit)
if klines:
klines = self.filter_and_limit(klines, limit, before_time)
self.log_result(symbol, klines, timeframe)
return klines
# 方案2: 东方财富 (支持所有周期,但可能有地域限制)
klines = self._fetch_eastmoney_kline(symbol, timeframe, limit)
if klines:
klines = self.filter_and_limit(klines, limit, before_time)
self.log_result(symbol, klines, timeframe)
return klines
# 方案3: 尝试 yfinance (日线级别备选)
if timeframe in ('1D', '1W'):
yahoo_symbol = self._to_yahoo_symbol(symbol)
if yahoo_symbol:
# logger.info(f"尝试使用 yfinance 获取港股: {yahoo_symbol}")
klines = self.us_stock_source.get_kline(yahoo_symbol, timeframe, limit, before_time)
if klines:
# logger.info(f"yfinance 成功获取 {len(klines)} 条港股数据")
return klines
# 方案4: 尝试 akshare (日线级别)
if HAS_AKSHARE and timeframe in ('1D', '1W'):
klines = self._fetch_akshare(symbol, timeframe, limit, before_time)
if klines:
return klines
# 分钟级数据获取失败提示
if timeframe not in ('1D', '1W'):
logger.warning(f"HK stock {symbol}: minute-level data is not supported (data source limitations)")
else:
logger.warning(f"HK stock {symbol}: data fetch failed (timeframe: {timeframe})")
return klines
def _to_tencent_symbol(self, symbol: str) -> str:
"""转换为腾讯财经格式"""
# 港股代码补齐到5位
padded = symbol.zfill(5)
return f"hk{padded}"
def _to_yahoo_symbol(self, symbol: str) -> str:
"""转换为 Yahoo Finance 格式"""
# 港股代码补齐到4位
padded = symbol.zfill(4)
return f"{padded}.HK"
def _fetch_eastmoney_kline(
self,
symbol: str,
timeframe: str,
limit: int
) -> List[Dict[str, Any]]:
"""使用东方财富获取港股分钟级数据"""
klines = []
# 东方财富 K 线周期映射
em_period_map = {
'1m': '1',
'5m': '5',
'15m': '15',
'30m': '30',
'1H': '60',
'4H': '240',
'1D': '101',
'1W': '102',
}
period = em_period_map.get(timeframe)
if not period:
logger.warning(f"Eastmoney unsupported timeframe: {timeframe}")
return []
try:
# 港股代码补齐到5位
hk_symbol = symbol.zfill(5)
# 东方财富港股代码格式: 116.00700 (116是港股市场代码)
secid = f"116.{hk_symbol}"
# 东方财富K线接口
url = f"https://push2his.eastmoney.com/api/qt/stock/kline/get"
params = {
'secid': secid,
'fields1': 'f1,f2,f3,f4,f5,f6',
'fields2': 'f51,f52,f53,f54,f55,f56,f57',
'klt': period, # K线类型
'fqt': '1', # 前复权
'end': '20500101',
'lmt': limit,
}
# logger.info(f"东方财富港股请求: {hk_symbol}, 周期: {timeframe}")
# 添加浏览器请求头,避免被拒绝
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
'Referer': 'https://quote.eastmoney.com/',
'Accept': 'application/json, text/plain, */*',
'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
}
session = get_retry_session()
response = session.get(url, params=params, headers=headers, timeout=15)
if response.status_code != 200:
logger.warning(f"Eastmoney HTTP status: {response.status_code}")
return []
data = response.json()
# 解析响应
if data.get('data') and data['data'].get('klines'):
for line in data['data']['klines']:
try:
# 格式: "2025-11-28 15:00,400.0,401.0,399.0,400.5,1000,100000"
# 日期,开盘,收盘,最高,最低,成交量,成交额
parts = line.split(',')
if len(parts) >= 6:
time_str = parts[0]
# 解析时间
if ' ' in time_str:
dt = datetime.strptime(time_str, '%Y-%m-%d %H:%M')
else:
dt = datetime.strptime(time_str, '%Y-%m-%d')
klines.append(self.format_kline(
timestamp=int(dt.timestamp()),
open_price=float(parts[1]),
high=float(parts[3]),
low=float(parts[4]),
close=float(parts[2]),
volume=float(parts[5])
))
except (ValueError, IndexError) as e:
logger.debug(f"Failed to parse Eastmoney data line: {line}, error: {e}")
continue
# logger.info(f"东方财富返回 {len(klines)} 条港股数据")
else:
logger.warning("Eastmoney returned no data")
except Exception as e:
logger.error(f"Eastmoney HK stock fetch failed: {e}")
import traceback
logger.error(traceback.format_exc())
return klines
def _fetch_akshare(
self,
symbol: str,
timeframe: str,
limit: int,
before_time: Optional[int]
) -> List[Dict[str, Any]]:
"""使用 akshare 获取港股数据"""
klines = []
try:
# 计算日期范围
if before_time:
end_date = datetime.fromtimestamp(before_time).strftime('%Y%m%d')
else:
end_date = datetime.now().strftime('%Y%m%d')
days = limit * 2 if timeframe == '1D' else limit * 10
start_date = (datetime.now() - timedelta(days=days)).strftime('%Y%m%d')
# 港股代码补齐到5位
hk_symbol = symbol.zfill(5)
# logger.info(f"使用 akshare 获取港股: {hk_symbol}")
df = ak.stock_hk_hist(
symbol=hk_symbol,
period="daily",
start_date=start_date,
end_date=end_date,
adjust="qfq"
)
if df is not None and not df.empty:
df = df.tail(limit)
for _, row in df.iterrows():
ts = int(datetime.strptime(str(row['日期']), '%Y-%m-%d').timestamp())
klines.append(self.format_kline(
timestamp=ts,
open_price=row['开盘'],
high=row['最高'],
low=row['最低'],
close=row['收盘'],
volume=row['成交量']
))
# logger.info(f"akshare 返回 {len(klines)} 条港股数据")
except Exception as e:
logger.error(f"Akshare HK stock fetch failed: {e}")
import traceback
logger.error(traceback.format_exc())
return klines