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
80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2023/8/31 23:00
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Desc: 金十数据-比特币持仓报告
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https://datacenter.jin10.com/dc_report?name=bitcoint
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"""
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import pandas as pd
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import requests
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def crypto_bitcoin_hold_report():
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"""
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金十数据-比特币持仓报告
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https://datacenter.jin10.com/dc_report?name=bitcoint
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:return: 比特币持仓报告
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:rtype: pandas.DataFrame
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"""
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url = "https://datacenter-api.jin10.com/bitcoin_treasuries/list"
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headers = {
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"X-App-Id": "lnFP5lxse24wPgtY",
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"X-Version": "1.0.0",
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}
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r = requests.get(url, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"]["values"])
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temp_df.columns = [
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"代码",
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"公司名称-英文",
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"国家/地区",
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"市值",
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"比特币占市值比重",
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"持仓成本",
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"持仓占比",
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"持仓量",
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"当日持仓市值",
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"查询日期",
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"公告链接",
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"_",
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"分类",
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"倍数",
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"_",
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"公司名称-中文",
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]
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temp_df = temp_df[
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[
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"代码",
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"公司名称-英文",
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"公司名称-中文",
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"国家/地区",
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"市值",
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"比特币占市值比重",
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"持仓成本",
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"持仓占比",
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"持仓量",
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"当日持仓市值",
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"查询日期",
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"公告链接",
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"分类",
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"倍数",
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]
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]
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temp_df["市值"] = pd.to_numeric(temp_df["市值"], errors="coerce")
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temp_df["比特币占市值比重"] = pd.to_numeric(
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temp_df["比特币占市值比重"], errors="coerce"
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)
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temp_df["持仓成本"] = pd.to_numeric(temp_df["持仓成本"], errors="coerce")
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temp_df["持仓占比"] = pd.to_numeric(temp_df["持仓占比"], errors="coerce")
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temp_df["持仓量"] = pd.to_numeric(temp_df["持仓量"], errors="coerce")
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temp_df["当日持仓市值"] = pd.to_numeric(temp_df["当日持仓市值"], errors="coerce")
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temp_df["倍数"] = pd.to_numeric(temp_df["倍数"], errors="coerce")
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temp_df["查询日期"] = pd.to_datetime(temp_df["查询日期"], errors="coerce").dt.date
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return temp_df
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if __name__ == "__main__":
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crypto_bitcoin_hold_report_df = crypto_bitcoin_hold_report()
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print(crypto_bitcoin_hold_report_df)
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