|
|
|
|
|
# -*- coding: utf-8 -*-
|
|
|
|
|
|
"""
|
|
|
|
|
|
===================================
|
|
|
|
|
|
YfinanceFetcher - 兜底数据源 (Priority 4)
|
|
|
|
|
|
===================================
|
|
|
|
|
|
|
|
|
|
|
|
数据来源：Yahoo Finance（通过 yfinance 库）
|
|
|
|
|
|
特点：国际数据源、可能有延迟或缺失
|
|
|
|
|
|
定位：当所有国内数据源都失败时的最后保障
|
|
|
|
|
|
|
|
|
|
|
|
关键策略：
|
|
|
|
|
|
1. 自动将 A 股代码转换为 yfinance 格式（.SS / .SZ）
|
|
|
|
|
|
2. 处理 Yahoo Finance 的数据格式差异
|
|
|
|
|
|
3. 失败后指数退避重试
|
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
|
|
import logging
|
|
|
|
|
|
import re
|
|
|
|
|
|
from datetime import datetime
|
|
|
|
|
|
from typing import Optional, List, Dict, Any
|
|
|
|
|
|
|
|
|
|
|
|
import pandas as pd
|
|
|
|
|
|
from tenacity import (
|
|
|
|
|
|
retry,
|
|
|
|
|
|
stop_after_attempt,
|
|
|
|
|
|
wait_exponential,
|
|
|
|
|
|
retry_if_exception_type,
|
|
|
|
|
|
before_sleep_log,
|
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
from .base import BaseFetcher, DataFetchError, STANDARD_COLUMNS
|
|
|
|
|
|
from .realtime_types import UnifiedRealtimeQuote, RealtimeSource
|
|
|
|
|
|
import os
|
|
|
|
|
|
|
|
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class YfinanceFetcher(BaseFetcher):
|
|
|
|
|
|
"""
|
|
|
|
|
|
Yahoo Finance 数据源实现
|
|
|
|
|
|
|
|
|
|
|
|
优先级：4（最低，作为兜底）
|
|
|
|
|
|
数据来源：Yahoo Finance
|
|
|
|
|
|
|
|
|
|
|
|
关键策略：
|
|
|
|
|
|
- 自动转换股票代码格式
|
|
|
|
|
|
- 处理时区和数据格式差异
|
|
|
|
|
|
- 失败后指数退避重试
|
|
|
|
|
|
|
|
|
|
|
|
注意事项：
|
|
|
|
|
|
- A 股数据可能有延迟
|
|
|
|
|
|
- 某些股票可能无数据
|
|
|
|
|
|
- 数据精度可能与国内源略有差异
|
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
|
|
name = "YfinanceFetcher"
|
|
|
|
|
|
priority = int(os.getenv("YFINANCE_PRIORITY", "4"))
|
|
|
|
|
|
|
|
|
|
|
|
def __init__(self):
|
|
|
|
|
|
"""初始化 YfinanceFetcher"""
|
|
|
|
|
|
pass
|
|
|
|
|
|
|
|
|
|
|
|
def _convert_stock_code(self, stock_code: str) -> str:
|
|
|
|
|
|
"""
|
|
|
|
|
|
转换股票代码为 Yahoo Finance 格式
|
|
|
|
|
|
|
|
|
|
|
|
Yahoo Finance 代码格式：
|
|
|
|
|
|
- A股沪市：600519.SS (Shanghai Stock Exchange)
|
|
|
|
|
|
- A股深市：000001.SZ (Shenzhen Stock Exchange)
|
|
|
|
|
|
- 港股：0700.HK (Hong Kong Stock Exchange)
|
|
|
|
|
|
- 美股：AAPL, TSLA, GOOGL (无需后缀)
|
|
|
|
|
|
|
|
|
|
|
|
Args:
|
|
|
|
|
|
stock_code: 原始代码，如 '600519', 'hk00700', 'AAPL'
|
|
|
|
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
|
|
Yahoo Finance 格式代码
|
|
|
|
|
|
|
|
|
|
|
|
Examples:
|
|
|
|
|
|
>>> fetcher._convert_stock_code('600519')
|
|
|
|
|
|
'600519.SS'
|
|
|
|
|
|
>>> fetcher._convert_stock_code('hk00700')
|
|
|
|
|
|
'0700.HK'
|
|
|
|
|
|
>>> fetcher._convert_stock_code('AAPL')
|
|
|
|
|
|
'AAPL'
|
|
|
|
|
|
"""
|
|
|
|
|
|
import re
|
|
|
|
|
|
|
|
|
|
|
|
code = stock_code.strip().upper()
|
|
|
|
|
|
|
|
|
|
|
|
# 美股：1-5个大写字母（可能包含 .），直接返回
|
|
|
|
|
|
if re.match(r'^[A-Z]{1,5}(\.[A-Z])?$', code):
|
|
|
|
|
|
logger.debug(f"识别为美股代码: {code}")
|
|
|
|
|
|
return code
|
|
|
|
|
|
|
|
|
|
|
|
# 港股：hk前缀 -> .HK后缀
|
|
|
|
|
|
if code.startswith('HK'):
|
|
|
|
|
|
hk_code = code[2:].lstrip('0') or '0' # 去除前导0，但保留至少一个0
|
|
|
|
|
|
hk_code = hk_code.zfill(4) # 补齐到4位
|
|
|
|
|
|
logger.debug(f"转换港股代码: {stock_code} -> {hk_code}.HK")
|
|
|
|
|
|
return f"{hk_code}.HK"
|
|
|
|
|
|
|
|
|
|
|
|
# 已经包含后缀的情况
|
|
|
|
|
|
if '.SS' in code or '.SZ' in code or '.HK' in code:
|
|
|
|
|
|
return code
|
|
|
|
|
|
|
|
|
|
|
|
# 去除可能的 .SH 后缀
|
|
|
|
|
|
code = code.replace('.SH', '')
|
|
|
|
|
|
|
|
|
|
|
|
# ETF: Shanghai ETF (51xx, 52xx, 56xx, 58xx) -> .SS; Shenzhen ETF (15xx, 16xx, 18xx) -> .SZ
|
|
|
|
|
|
if len(code) == 6:
|
|
|
|
|
|
if code.startswith(('51', '52', '56', '58')):
|
|
|
|
|
|
return f"{code}.SS"
|
|
|
|
|
|
if code.startswith(('15', '16', '18')):
|
|
|
|
|
|
return f"{code}.SZ"
|
|
|
|
|
|
|
|
|
|
|
|
# A股：根据代码前缀判断市场
|
|
|
|
|
|
if code.startswith(('600', '601', '603', '688')):
|
|
|
|
|
|
return f"{code}.SS"
|
|
|
|
|
|
elif code.startswith(('000', '002', '300')):
|
|
|
|
|
|
return f"{code}.SZ"
|
|
|
|
|
|
else:
|
|
|
|
|
|
logger.warning(f"无法确定股票 {code} 的市场，默认使用深市")
|
|
|
|
|
|
return f"{code}.SZ"
|
|
|
|
|
|
|
|
|
|
|
|
@retry(
|
|
|
|
|
|
stop=stop_after_attempt(3),
|
|
|
|
|
|
wait=wait_exponential(multiplier=1, min=2, max=30),
|
|
|
|
|
|
retry=retry_if_exception_type((ConnectionError, TimeoutError)),
|
|
|
|
|
|
before_sleep=before_sleep_log(logger, logging.WARNING),
|
|
|
|
|
|
)
|
|
|
|
|
|
def _fetch_raw_data(self, stock_code: str, start_date: str, end_date: str) -> pd.DataFrame:
|
|
|
|
|
|
"""
|
|
|
|
|
|
从 Yahoo Finance 获取原始数据
|
|
|
|
|
|
|
|
|
|
|
|
使用 yfinance.download() 获取历史数据
|
|
|
|
|
|
|
|
|
|
|
|
流程：
|
|
|
|
|
|
1. 转换股票代码格式
|
|
|
|
|
|
2. 调用 yfinance API
|
|
|
|
|
|
3. 处理返回数据
|
|
|
|
|
|
"""
|
|
|
|
|
|
import yfinance as yf
|
|
|
|
|
|
|
|
|
|
|
|
# 转换代码格式
|
|
|
|
|
|
yf_code = self._convert_stock_code(stock_code)
|
|
|
|
|
|
|
|
|
|
|
|
logger.debug(f"调用 yfinance.download({yf_code}, {start_date}, {end_date})")
|
|
|
|
|
|
|
|
|
|
|
|
try:
|
|
|
|
|
|
# 使用 yfinance 下载数据
|
|
|
|
|
|
df = yf.download(
|
|
|
|
|
|
tickers=yf_code,
|
|
|
|
|
|
start=start_date,
|
|
|
|
|
|
end=end_date,
|
|
|
|
|
|
progress=False, # 禁止进度条
|
|
|
|
|
|
auto_adjust=True, # 自动调整价格（复权）
|
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
if df.empty:
|
|
|
|
|
|
raise DataFetchError(f"Yahoo Finance 未查询到 {stock_code} 的数据")
|
|
|
|
|
|
|
|
|
|
|
|
return df
|
|
|
|
|
|
|
|
|
|
|
|
except Exception as e:
|
|
|
|
|
|
if isinstance(e, DataFetchError):
|
|
|
|
|
|
raise
|
|
|
|
|
|
raise DataFetchError(f"Yahoo Finance 获取数据失败: {e}") from e
|
|
|
|
|
|
|
|
|
|
|
|
def _normalize_data(self, df: pd.DataFrame, stock_code: str) -> pd.DataFrame:
|
|
|
|
|
|
"""
|
|
|
|
|
|
标准化 Yahoo Finance 数据
|
|
|
|
|
|
|
|
|
|
|
|
yfinance 返回的列名：
|
|
|
|
|
|
Open, High, Low, Close, Volume（索引是日期）
|
|
|
|
|
|
|
|
|
|
|
|
注意：新版 yfinance 返回 MultiIndex 列名，如 ('Close', 'AMD')
|
|
|
|
|
|
需要先扁平化列名再进行处理
|
|
|
|
|
|
|
|
|
|
|
|
需要映射到标准列名：
|
|
|
|
|
|
date, open, high, low, close, volume, amount, pct_chg
|
|
|
|
|
|
"""
|
|
|
|
|
|
df = df.copy()
|
|
|
|
|
|
|
|
|
|
|
|
# 处理 MultiIndex 列名（新版 yfinance 返回格式）
|
|
|
|
|
|
# 例如: ('Close', 'AMD') -> 'Close'
|
|
|
|
|
|
if isinstance(df.columns, pd.MultiIndex):
|
|
|
|
|
|
logger.debug(f"检测到 MultiIndex 列名，进行扁平化处理")
|
|
|
|
|
|
# 取第一级列名（Price level: Close, High, Low, etc.）
|
|
|
|
|
|
df.columns = df.columns.get_level_values(0)
|
|
|
|
|
|
|
|
|
|
|
|
# 重置索引，将日期从索引变为列
|
|
|
|
|
|
df = df.reset_index()
|
|
|
|
|
|
|
|
|
|
|
|
# 列名映射（yfinance 使用首字母大写）
|
|
|
|
|
|
column_mapping = {
|
|
|
|
|
|
'Date': 'date',
|
|
|
|
|
|
'Open': 'open',
|
|
|
|
|
|
'High': 'high',
|
|
|
|
|
|
'Low': 'low',
|
|
|
|
|
|
'Close': 'close',
|
|
|
|
|
|
'Volume': 'volume',
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
df = df.rename(columns=column_mapping)
|
|
|
|
|
|
|
|
|
|
|
|
# 计算涨跌幅（因为 yfinance 不直接提供）
|
|
|
|
|
|
if 'close' in df.columns:
|
|
|
|
|
|
df['pct_chg'] = df['close'].pct_change() * 100
|
|
|
|
|
|
df['pct_chg'] = df['pct_chg'].fillna(0).round(2)
|
|
|
|
|
|
|
|
|
|
|
|
# 计算成交额（yfinance 不提供，使用估算值）
|
|
|
|
|
|
# 成交额 ≈ 成交量 * 平均价格
|
|
|
|
|
|
if 'volume' in df.columns and 'close' in df.columns:
|
|
|
|
|
|
df['amount'] = df['volume'] * df['close']
|
|
|
|
|
|
else:
|
|
|
|
|
|
df['amount'] = 0
|
|
|
|
|
|
|
|
|
|
|
|
# 添加股票代码列
|
|
|
|
|
|
df['code'] = stock_code
|
|
|
|
|
|
|
|
|
|
|
|
# 只保留需要的列
|
|
|
|
|
|
keep_cols = ['code'] + STANDARD_COLUMNS
|
|
|
|
|
|
existing_cols = [col for col in keep_cols if col in df.columns]
|
|
|
|
|
|
df = df[existing_cols]
|
|
|
|
|
|
|
|
|
|
|
|
return df
|
|
|
|
|
|
|
|
|
|
|
|
def get_main_indices(self) -> Optional[List[Dict[str, Any]]]:
|
|
|
|
|
|
"""
|
|
|
|
|
|
获取主要指数行情 (Yahoo Finance)
|
|
|
|
|
|
"""
|
|
|
|
|
|
import yfinance as yf
|
|
|
|
|
|
|
|
|
|
|
|
# 映射关系：akshare代码 -> (yfinance代码, 名称)
|
|
|
|
|
|
yf_mapping = {
|
|
|
|
|
|
'sh000001': ('000001.SS', '上证指数'),
|
|
|
|
|
|
'sz399001': ('399001.SZ', '深证成指'),
|
|
|
|
|
|
'sz399006': ('399006.SZ', '创业板指'),
|
|
|
|
|
|
'sh000688': ('000688.SS', '科创50'),
|
|
|
|
|
|
'sh000016': ('000016.SS', '上证50'),
|
|
|
|
|
|
'sh000300': ('000300.SS', '沪深300'),
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
results = []
|
|
|
|
|
|
try:
|
|
|
|
|
|
for ak_code, (yf_code, name) in yf_mapping.items():
|
|
|
|
|
|
try:
|
|
|
|
|
|
ticker = yf.Ticker(yf_code)
|
|
|
|
|
|
# 获取最近2天数据以计算涨跌
|
|
|
|
|
|
hist = ticker.history(period='2d')
|
|
|
|
|
|
if hist.empty:
|
|
|
|
|
|
continue
|
|
|
|
|
|
|
|
|
|
|
|
today = hist.iloc[-1]
|
|
|
|
|
|
prev = hist.iloc[-2] if len(hist) > 1 else today
|
|
|
|
|
|
|
|
|
|
|
|
price = float(today['Close'])
|
|
|
|
|
|
prev_close = float(prev['Close'])
|
|
|
|
|
|
change = price - prev_close
|
|
|
|
|
|
change_pct = (change / prev_close) * 100 if prev_close else 0
|
|
|
|
|
|
|
|
|
|
|
|
# 振幅
|
|
|
|
|
|
high = float(today['High'])
|
|
|
|
|
|
low = float(today['Low'])
|
|
|
|
|
|
amplitude = ((high - low) / prev_close * 100) if prev_close else 0
|
|
|
|
|
|
|
|
|
|
|
|
results.append({
|
|
|
|
|
|
'code': ak_code,
|
|
|
|
|
|
'name': name,
|
|
|
|
|
|
'current': price,
|
|
|
|
|
|
'change': change,
|
|
|
|
|
|
'change_pct': change_pct,
|
|
|
|
|
|
'open': float(today['Open']),
|
|
|
|
|
|
'high': high,
|
|
|
|
|
|
'low': low,
|
|
|
|
|
|
'prev_close': prev_close,
|
|
|
|
|
|
'volume': float(today['Volume']),
|
|
|
|
|
|
'amount': 0.0, # Yahoo Finance 可能不提供准确的成交额
|
|
|
|
|
|
'amplitude': amplitude
|
|
|
|
|
|
})
|
|
|
|
|
|
logger.debug(f"[Yfinance] 获取指数 {name} 成功")
|
|
|
|
|
|
|
|
|
|
|
|
except Exception as e:
|
|
|
|
|
|
logger.warning(f"[Yfinance] 获取指数 {name} 失败: {e}")
|
|
|
|
|
|
continue
|
|
|
|
|
|
|
|
|
|
|
|
if results:
|
|
|
|
|
|
logger.info(f"[Yfinance] 成功获取 {len(results)} 个指数行情")
|
|
|
|
|
|
return results
|
|
|
|
|
|
|
|
|
|
|
|
except Exception as e:
|
|
|
|
|
|
logger.error(f"[Yfinance] 获取指数行情失败: {e}")
|
|
|
|
|
|
|
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
|
|
def _is_us_stock(self, stock_code: str) -> bool:
|
|
|
|
|
|
"""
|
|
|
|
|
|
判断代码是否为美股
|
|
|
|
|
|
|
|
|
|
|
|
美股代码规则：
|
|
|
|
|
|
- 1-5个大写字母，如 'AAPL', 'TSLA'
|
|
|
|
|
|
- 可能包含 '.'，如 'BRK.B'
|
|
|
|
|
|
"""
|
|
|
|
|
|
code = stock_code.strip().upper()
|
|
|
|
|
|
return bool(re.match(r'^[A-Z]{1,5}(\.[A-Z])?$', code))
|
|
|
|
|
|
|
|
|
|
|
|
def get_realtime_quote(self, stock_code: str) -> Optional[UnifiedRealtimeQuote]:
|
|
|
|
|
|
"""
|
|
|
|
|
|
获取美股实时行情数据
|
|
|
|
|
|
|
|
|
|
|
|
数据来源：yfinance Ticker.info
|
|
|
|
|
|
|
|
|
|
|
|
Args:
|
|
|
|
|
|
stock_code: 美股代码，如 'AMD', 'AAPL', 'TSLA'
|
|
|
|
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
|
|
UnifiedRealtimeQuote 对象，获取失败返回 None
|
|
|
|
|
|
"""
|
|
|
|
|
|
import yfinance as yf
|
|
|
|
|
|
|
|
|
|
|
|
# 仅处理美股
|
|
|
|
|
|
if not self._is_us_stock(stock_code):
|
|
|
|
|
|
logger.debug(f"[Yfinance] {stock_code} 不是美股，跳过")
|
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
|
|
try:
|
|
|
|
|
|
symbol = stock_code.strip().upper()
|
|
|
|
|
|
logger.debug(f"[Yfinance] 获取美股 {symbol} 实时行情")
|
|
|
|
|
|
|
|
|
|
|
|
ticker = yf.Ticker(symbol)
|
|
|
|
|
|
|
|
|
|
|
|
# 尝试获取 fast_info（更快，但字段较少）
|
|
|
|
|
|
try:
|
|
|
|
|
|
info = ticker.fast_info
|
|
|
|
|
|
if info is None:
|
|
|
|
|
|
raise ValueError("fast_info is None")
|
|
|
|
|
|
|
|
|
|
|
|
price = getattr(info, 'lastPrice', None) or getattr(info, 'last_price', None)
|
|
|
|
|
|
prev_close = getattr(info, 'previousClose', None) or getattr(info, 'previous_close', None)
|
|
|
|
|
|
open_price = getattr(info, 'open', None)
|
|
|
|
|
|
high = getattr(info, 'dayHigh', None) or getattr(info, 'day_high', None)
|
|
|
|
|
|
low = getattr(info, 'dayLow', None) or getattr(info, 'day_low', None)
|
|
|
|
|
|
volume = getattr(info, 'lastVolume', None) or getattr(info, 'last_volume', None)
|
|
|
|
|
|
market_cap = getattr(info, 'marketCap', None) or getattr(info, 'market_cap', None)
|
|
|
|
|
|
|
|
|
|
|
|
except Exception:
|
|
|
|
|
|
# 回退到 history 方法获取最新数据
|
|
|
|
|
|
logger.debug(f"[Yfinance] fast_info 失败，尝试 history 方法")
|
|
|
|
|
|
hist = ticker.history(period='2d')
|
|
|
|
|
|
if hist.empty:
|
|
|
|
|
|
logger.warning(f"[Yfinance] 无法获取 {symbol} 的数据")
|
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
|
|
today = hist.iloc[-1]
|
|
|
|
|
|
prev = hist.iloc[-2] if len(hist) > 1 else today
|
|
|
|
|
|
|
|
|
|
|
|
price = float(today['Close'])
|
|
|
|
|
|
prev_close = float(prev['Close'])
|
|
|
|
|
|
open_price = float(today['Open'])
|
|
|
|
|
|
high = float(today['High'])
|
|
|
|
|
|
low = float(today['Low'])
|
|
|
|
|
|
volume = int(today['Volume'])
|
|
|
|
|
|
market_cap = None
|
|
|
|
|
|
|
|
|
|
|
|
# 计算涨跌幅
|
|
|
|
|
|
change_amount = None
|
|
|
|
|
|
change_pct = None
|
|
|
|
|
|
if price is not None and prev_close is not None and prev_close > 0:
|
|
|
|
|
|
change_amount = price - prev_close
|
|
|
|
|
|
change_pct = (change_amount / prev_close) * 100
|
|
|
|
|
|
|
|
|
|
|
|
# 计算振幅
|
|
|
|
|
|
amplitude = None
|
|
|
|
|
|
if high is not None and low is not None and prev_close is not None and prev_close > 0:
|
|
|
|
|
|
amplitude = ((high - low) / prev_close) * 100
|
|
|
|
|
|
|
|
|
|
|
|
# 获取股票名称
|
|
|
|
|
|
try:
|
|
|
|
|
|
name = ticker.info.get('shortName', '') or ticker.info.get('longName', '') or symbol
|
|
|
|
|
|
except Exception:
|
|
|
|
|
|
name = symbol
|
|
|
|
|
|
|
|
|
|
|
|
quote = UnifiedRealtimeQuote(
|
|
|
|
|
|
code=symbol,
|
|
|
|
|
|
name=name,
|
|
|
|
|
|
source=RealtimeSource.FALLBACK,
|
|
|
|
|
|
price=price,
|
|
|
|
|
|
change_pct=round(change_pct, 2) if change_pct is not None else None,
|
|
|
|
|
|
change_amount=round(change_amount, 4) if change_amount is not None else None,
|
|
|
|
|
|
volume=volume,
|
|
|
|
|
|
amount=None, # yfinance 不直接提供成交额
|
|
|
|
|
|
volume_ratio=None,
|
|
|
|
|
|
turnover_rate=None,
|
|
|
|
|
|
amplitude=round(amplitude, 2) if amplitude is not None else None,
|
|
|
|
|
|
open_price=open_price,
|
|
|
|
|
|
high=high,
|
|
|
|
|
|
low=low,
|
|
|
|
|
|
pre_close=prev_close,
|
|
|
|
|
|
pe_ratio=None,
|
|
|
|
|
|
pb_ratio=None,
|
|
|
|
|
|
total_mv=market_cap,
|
|
|
|
|
|
circ_mv=None,
|
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
logger.info(f"[Yfinance] 获取美股 {symbol} 实时行情成功: 价格={price}")
|
|
|
|
|
|
return quote
|
|
|
|
|
|
|
|
|
|
|
|
except Exception as e:
|
|
|
|
|
|
logger.warning(f"[Yfinance] 获取美股 {stock_code} 实时行情失败: {e}")
|
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
|
|
# 测试代码
|
|
|
|
|
|
logging.basicConfig(level=logging.DEBUG)
|
|
|
|
|
|
|
|
|
|
|
|
fetcher = YfinanceFetcher()
|
|
|
|
|
|
|
|
|
|
|
|
try:
|
|
|
|
|
|
df = fetcher.get_daily_data('600519') # 茅台
|
|
|
|
|
|
print(f"获取成功，共 {len(df)} 条数据")
|
|
|
|
|
|
print(df.tail())
|
|
|
|
|
|
except Exception as e:
|
|
|
|
|
|
print(f"获取失败: {e}")
|
