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
61 lines
1.9 KiB
Python
61 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: 2024/4/29 17:00
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Desc: 人民币汇率中间价
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https://www.safe.gov.cn/safe/rmbhlzjj/index.html
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"""
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import re
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from datetime import datetime
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from io import StringIO
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import pandas as pd
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import requests
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from bs4 import BeautifulSoup
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def currency_boc_safe() -> pd.DataFrame:
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"""
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人民币汇率中间价
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https://www.safe.gov.cn/safe/rmbhlzjj/index.html
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:return: 人民币汇率中间价
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:rtype: pandas.DataFrame
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"""
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url = "https://www.safe.gov.cn/safe/2020/1218/17833.html"
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r = requests.get(url)
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r.encoding = "utf8"
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soup = BeautifulSoup(r.text, features="lxml")
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content = soup.find(name="a", string=re.compile("人民币汇率"))["href"]
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url = f"https://www.safe.gov.cn{content}"
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temp_df = pd.read_excel(url)
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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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start_date = (
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(pd.Timestamp(temp_df["日期"].tolist()[-1]) + pd.Timedelta(days=1))
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.isoformat()
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.split("T")[0]
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)
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end_date = datetime.now().isoformat().split("T")[0]
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url = "https://www.safe.gov.cn/AppStructured/hlw/RMBQuery.do"
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payload = {
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"startDate": start_date,
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"endDate": end_date,
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"queryYN": "true",
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}
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r = requests.post(url, data=payload)
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current_temp_df = pd.read_html(StringIO(r.text))[-1]
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current_temp_df.sort_values(by=["日期"], inplace=True)
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current_temp_df.reset_index(inplace=True, drop=True)
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big_df = pd.concat(objs=[temp_df, current_temp_df], ignore_index=True)
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column_name_list = big_df.columns[1:]
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for item in column_name_list:
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big_df[item] = pd.to_numeric(big_df[item], errors="coerce")
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big_df["日期"] = pd.to_datetime(big_df["日期"], errors="coerce").dt.date
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return big_df
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if __name__ == "__main__":
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currency_boc_safe_df = currency_boc_safe()
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print(currency_boc_safe_df)
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