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
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
# -*- coding:utf-8 -*-
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# !/usr/bin/env python
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"""
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Date: 2026/4/28 15:00
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Desc: 中证商品指数
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http://www.ccidx.com/
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"""
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import pandas as pd
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import requests
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def futures_index_ccidx(symbol: str = "中证商品期货指数") -> pd.DataFrame:
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"""
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中证商品指数-商品指数-日频率
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http://www.ccidx.com/index.html
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:param symbol: choice of {"中证商品期货指数", "中证商品期货价格指数"}
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:type symbol: str
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:return: 商品指数-日频率
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:rtype: pandas.DataFrame
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"""
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futures_index_map = {
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"中证商品期货指数": "100001.CCI",
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"中证商品期货价格指数": "000001.CCI",
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}
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url = "http://www.ccidx.com/CCI-ZZZS/index/getDateLine"
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params = {"indexId": futures_index_map[symbol]}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame(
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[item for item in data_json["data"]["dateLineJson"]]
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)
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temp_df.rename(
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columns={
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"tradeDate": "日期",
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"indexId": "指数代码",
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"closingPrice": "收盘点位",
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"settlePrice": "结算点位",
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"dailyIncreaseAndDecrease": "涨跌",
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"dailyIncreaseAndDecreasePercentage": "涨跌幅",
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},
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inplace=True,
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)
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temp_df["日期"] = pd.to_datetime(temp_df["日期"], errors="coerce").dt.date
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temp_df["收盘点位"] = pd.to_numeric(temp_df["收盘点位"], errors="coerce")
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temp_df["结算点位"] = pd.to_numeric(temp_df["结算点位"], errors="coerce")
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temp_df["涨跌"] = pd.to_numeric(temp_df["涨跌"], errors="coerce")
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temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
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temp_df.sort_values(by=["日期"], inplace=True)
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temp_df.reset_index(inplace=True, drop=True)
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return temp_df
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if __name__ == "__main__":
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futures_index_ccidx_df = futures_index_ccidx(symbol="中证商品期货指数")
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print(futures_index_ccidx_df)
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