知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/3/25 16:30
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Desc: 新浪财经-交易日历
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https://finance.sina.com.cn/realstock/company/klc_td_sh.txt
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此处可以用来更新 calendar.json 文件，注意末尾没有 "," 号
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"""
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import datetime
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import pandas as pd
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import requests
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import py_mini_racer
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from akshare.stock.cons import hk_js_decode
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def tool_trade_date_hist_sina() -> pd.DataFrame:
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"""
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新浪财经-交易日历-历史数据
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https://finance.sina.com.cn/realstock/company/klc_td_sh.txt
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:return: 交易日历
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:rtype: pandas.DataFrame
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"""
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url = "https://finance.sina.com.cn/realstock/company/klc_td_sh.txt"
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r = requests.get(url)
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js_code = py_mini_racer.MiniRacer()
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js_code.eval(hk_js_decode)
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dict_list = js_code.call("d", r.text.split("=")[1].split(";")[0].replace('"', ""))
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temp_df = pd.DataFrame(dict_list)
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temp_df.columns = ["trade_date"]
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temp_df["trade_date"] = pd.to_datetime(temp_df["trade_date"]).dt.date
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temp_list = temp_df["trade_date"].to_list()
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# 该日期是交易日，但是在新浪返回的交易日历缺失该日期，这里补充上
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temp_list.append(datetime.date(year=1992, month=5, day=4))
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temp_list.sort()
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temp_df = pd.DataFrame(temp_list, columns=["trade_date"])
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return temp_df
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if __name__ == "__main__":
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tool_trade_date_hist_df = tool_trade_date_hist_sina()
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print(tool_trade_date_hist_df)
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