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
97 lines
4.0 KiB
Python
97 lines
4.0 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/5/3
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Desc: 义乌小商品指数
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目前可以通过这些接口直接请求到 JSON 数据
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周价格指数：https://apiserver.chinagoods.com/yiwuindex/v1/active/industry/class/history/piweek?gcCode=
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月价格指数：https://apiserver.chinagoods.com/yiwuindex/v1/active/industry/class/history/month?gcCode=
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月景气指数：https://apiserver.chinagoods.com/yiwuindex/v1/active/industry/class/history/bi?gcCode=
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上涨：https://apiserver.chinagoods.com/yiwuindex/v1/active/industry/class/get/rise
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下跌：https://apiserver.chinagoods.com/yiwuindex/v1/active/industry/class/get/drop
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"""
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import pandas as pd
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import requests
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def index_yw(symbol: str = "月景气指数") -> pd.DataFrame:
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"""
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义乌小商品指数
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https://www.ywindex.com/Home/Product/index/
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:param symbol: choice of {"周价格指数", "月价格指数", "月景气指数"}
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:type symbol: str
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:return: 指数结果
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:rtype: pandas.DataFrame
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"""
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import urllib3
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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if symbol == "月景气指数":
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url = "https://apiserver.chinagoods.com/yiwuindex/v1/active/industry/class/history/bi?gcCode="
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r = requests.get(url, verify=False)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"])
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temp_df = temp_df[
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[
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"indextimeno",
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"totalindex",
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"scopeindex",
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"benifitindex",
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"confidentindex",
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]
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]
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temp_df.columns = ["期数", "景气指数", "规模指数", "效益指数", "市场信心指数"]
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temp_df["期数"] = pd.to_datetime(temp_df["期数"], errors="coerce").dt.date
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temp_df["景气指数"] = pd.to_numeric(temp_df["景气指数"], errors="coerce")
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temp_df["规模指数"] = pd.to_numeric(temp_df["规模指数"], errors="coerce")
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temp_df["效益指数"] = pd.to_numeric(temp_df["效益指数"], errors="coerce")
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temp_df["市场信心指数"] = pd.to_numeric(
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temp_df["市场信心指数"], errors="coerce"
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)
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temp_df.sort_values(["期数"], inplace=True, ignore_index=True)
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return temp_df
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else:
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symbol_map = {"周价格指数": "piweek", "月价格指数": "month"}
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url = f"https://apiserver.chinagoods.com/yiwuindex/v1/active/industry/class/history/{symbol_map[symbol]}?gcCode="
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r = requests.get(url, verify=False)
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data_json = r.json()
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columns_name = {
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"indextimeno": "期数",
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"totalpriceindex": "价格指数",
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"stockdealpriceindex": "场内价格指数",
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"netdealpriceindex": "网上价格指数",
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"orderdealpriceindex": "订单价格指数",
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"outdealpriceindex": "出口价格指数",
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}
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temp_df = pd.DataFrame(data_json["data"])
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temp_df.columns = [columns_name[name] for name in temp_df.columns]
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temp_df["期数"] = pd.to_datetime(temp_df["期数"], errors="coerce").dt.date
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temp_df["价格指数"] = pd.to_numeric(temp_df["价格指数"], errors="coerce")
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temp_df["场内价格指数"] = pd.to_numeric(
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temp_df["场内价格指数"], errors="coerce"
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)
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temp_df["网上价格指数"] = pd.to_numeric(
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temp_df["网上价格指数"], errors="coerce"
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)
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temp_df["订单价格指数"] = pd.to_numeric(
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temp_df["订单价格指数"], errors="coerce"
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)
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temp_df["出口价格指数"] = pd.to_numeric(
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temp_df["出口价格指数"], errors="coerce"
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)
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temp_df.sort_values(by=["期数"], inplace=True, ignore_index=True)
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return temp_df
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if __name__ == "__main__":
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index_yw_df = index_yw(symbol="周价格指数")
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print(index_yw_df)
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index_yw_df = index_yw(symbol="月价格指数")
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print(index_yw_df)
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index_yw_df = index_yw(symbol="月景气指数")
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print(index_yw_df)
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