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
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2023/6/19 18:16
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Desc: 浙江省排污权交易指数
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https://zs.zjpwq.net/
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"""
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import pandas as pd
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import requests
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def index_eri(symbol: str = "月度") -> pd.DataFrame:
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"""
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浙江省排污权交易指数
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https://zs.zjpwq.net
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:param symbol: choice of {"月度", "季度"}
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:type symbol: str
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:return: 浙江省排污权交易指数
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:rtype: pandas.DataFrame
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"""
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symbol_map = {
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"月度": "MONTH",
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"季度": "QUARTER",
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}
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url = "https://zs.zjpwq.net/pwq-index-webapi/indexData"
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params = {
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"cycle": symbol_map[symbol],
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"regionId": "1",
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"structId": "1",
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"pageSize": "5000",
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"indexId": "1",
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"orderBy": "stage.publishTime",
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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) Chrome/114.0.0.0 Safari/537.36"
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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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temp_df = pd.DataFrame(data_json["data"])
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index_value = temp_df["indexValue"].tolist()
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index_time = [item["stage"]["publishTime"] for item in data_json["data"]]
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big_df = pd.DataFrame([index_time, index_value], index=["日期", "交易指数"]).T
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url = "https://zs.zjpwq.net/pwq-index-webapi/dataStatistics"
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r = requests.get(url, params=params, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"])
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big_df["成交量"] = temp_df["totalQuantity"].tolist()
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big_df["成交额"] = temp_df["totalCost"].tolist()
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big_df["日期"] = pd.to_datetime(big_df["日期"], errors="coerce").dt.date
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big_df["交易指数"] = pd.to_numeric(big_df["交易指数"], errors="coerce")
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big_df["成交量"] = pd.to_numeric(big_df["成交量"], errors="coerce")
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big_df["成交额"] = pd.to_numeric(big_df["成交额"], errors="coerce")
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return big_df
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if __name__ == "__main__":
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index_eri_df = index_eri(symbol="月度")
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print(index_eri_df)
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index_eri_df = index_eri(symbol="季度")
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print(index_eri_df)
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