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
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/4/24 18:10
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Desc: 上海期货交易所指定交割仓库库存周报
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https://datacenter.jin10.com/reportType/dc_shfe_weekly_stock
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https://tsite.shfe.com.cn/statements/dataview.html?paramid=kx
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"""
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import pandas as pd
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import requests
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def futures_stock_shfe_js(date: str = "20240419") -> pd.DataFrame:
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"""
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金十财经-上海期货交易所指定交割仓库库存周报
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https://datacenter.jin10.com/reportType/dc_shfe_weekly_stock
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:param date: 交易日; 库存周报只在每周的最后一个交易日公布数据
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:type date: str
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:return: 库存周报
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:rtype: pandas.Series
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"""
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headers = {
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/107.0.0.0 Safari/537.36",
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"x-app-id": "rU6QIu7JHe2gOUeR",
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"x-csrf-token": "x-csrf-token",
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"x-version": "1.0.0",
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}
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url = "https://datacenter-api.jin10.com/reports/list"
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params = {
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"category": "stock",
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"date": "-".join([date[:4], date[4:6], date[6:]]),
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"attr_id": "1",
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}
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r = requests.get(url, params=params, headers=headers)
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data_json = r.json()
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columns_list = [item["name"] for item in data_json["data"]["keys"]]
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temp_df = pd.DataFrame(data_json["data"]["values"], columns=columns_list)
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for item in columns_list[1:]:
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temp_df[item] = pd.to_numeric(temp_df[item], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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futures_stock_shfe_js_df = futures_stock_shfe_js(date="20240419")
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print(futures_stock_shfe_js_df)
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