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
144 lines
4.2 KiB
Python
144 lines
4.2 KiB
Python
#!/usr/bin/env python
|
|
# -*- coding:utf-8 -*-
|
|
"""
|
|
Date: 2024/4/3 16:00
|
|
Desc: 东方财富-经济数据-日本
|
|
https://data.eastmoney.com/cjsj/foreign_3_0.html
|
|
"""
|
|
|
|
import pandas as pd
|
|
import requests
|
|
|
|
|
|
def macro_japan_core(symbol: str = "EMG00341602") -> pd.DataFrame:
|
|
"""
|
|
东方财富-数据中心-经济数据一览-宏观经济-日本-核心代码
|
|
https://data.eastmoney.com/cjsj/foreign_1_0.html
|
|
:param symbol: 代码
|
|
:type symbol: str
|
|
:return: 指定 symbol 的数据
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
|
|
params = {
|
|
"reportName": "RPT_ECONOMICVALUE_JPAN",
|
|
"columns": "ALL",
|
|
"filter": f'(INDICATOR_ID="{symbol}")',
|
|
"pageNumber": "1",
|
|
"pageSize": "5000",
|
|
"sortColumns": "REPORT_DATE",
|
|
"sortTypes": "-1",
|
|
"source": "WEB",
|
|
"client": "WEB",
|
|
"p": "1",
|
|
"pageNo": "1",
|
|
"pageNum": "1",
|
|
}
|
|
r = requests.get(url, params=params)
|
|
data_json = r.json()
|
|
temp_df = pd.DataFrame(data_json["result"]["data"])
|
|
temp_df.rename(
|
|
columns={
|
|
"COUNTRY": "-",
|
|
"INDICATOR_ID": "-",
|
|
"INDICATOR_NAME": "-",
|
|
"REPORT_DATE_CH": "时间",
|
|
"REPORT_DATE": "-",
|
|
"PUBLISH_DATE": "发布日期",
|
|
"VALUE": "现值",
|
|
"PRE_VALUE": "前值",
|
|
"INDICATOR_IDOLD": "-",
|
|
},
|
|
inplace=True,
|
|
)
|
|
temp_df = temp_df[
|
|
[
|
|
"时间",
|
|
"前值",
|
|
"现值",
|
|
"发布日期",
|
|
]
|
|
]
|
|
temp_df["前值"] = pd.to_numeric(temp_df["前值"], errors="coerce")
|
|
temp_df["现值"] = pd.to_numeric(temp_df["现值"], errors="coerce")
|
|
temp_df["发布日期"] = pd.to_datetime(temp_df["发布日期"], errors="coerce").dt.date
|
|
temp_df.sort_values(["发布日期"], inplace=True, ignore_index=True)
|
|
return temp_df
|
|
|
|
|
|
# 央行公布利率决议
|
|
def macro_japan_bank_rate() -> pd.DataFrame:
|
|
"""
|
|
东方财富-经济数据-日本-央行公布利率决议
|
|
https://data.eastmoney.com/cjsj/foreign_3_0.html
|
|
:return: 央行公布利率决议
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
temp_df = macro_japan_core(symbol="EMG00342252")
|
|
return temp_df
|
|
|
|
|
|
# 全国消费者物价指数年率
|
|
def macro_japan_cpi_yearly() -> pd.DataFrame:
|
|
"""
|
|
东方财富-经济数据-日本-全国消费者物价指数年率
|
|
https://data.eastmoney.com/cjsj/foreign_3_1.html
|
|
:return: 全国消费者物价指数年率
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
temp_df = macro_japan_core(symbol="EMG00005004")
|
|
return temp_df
|
|
|
|
|
|
# 全国核心消费者物价指数年率
|
|
def macro_japan_core_cpi_yearly() -> pd.DataFrame:
|
|
"""
|
|
东方财富-经济数据-日本-全国核心消费者物价指数年率
|
|
https://data.eastmoney.com/cjsj/foreign_2_2.html
|
|
:return: 全国核心消费者物价指数年率
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
temp_df = macro_japan_core(symbol="EMG00158099")
|
|
return temp_df
|
|
|
|
|
|
# 失业率
|
|
def macro_japan_unemployment_rate() -> pd.DataFrame:
|
|
"""
|
|
东方财富-经济数据-日本-失业率
|
|
https://data.eastmoney.com/cjsj/foreign_2_3.html
|
|
:return: 失业率
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
temp_df = macro_japan_core(symbol="EMG00005047")
|
|
return temp_df
|
|
|
|
|
|
# 领先指标终值
|
|
def macro_japan_head_indicator() -> pd.DataFrame:
|
|
"""
|
|
东方财富-经济数据-日本-领先指标终值
|
|
https://data.eastmoney.com/cjsj/foreign_3_4.html
|
|
:return: 领先指标终值
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
temp_df = macro_japan_core(symbol="EMG00005117")
|
|
return temp_df
|
|
|
|
|
|
if __name__ == "__main__":
|
|
macro_japan_bank_rate_df = macro_japan_bank_rate()
|
|
print(macro_japan_bank_rate_df)
|
|
|
|
macro_japan_cpi_yearly_df = macro_japan_cpi_yearly()
|
|
print(macro_japan_cpi_yearly_df)
|
|
|
|
macro_japan_core_cpi_yearly_df = macro_japan_core_cpi_yearly()
|
|
print(macro_japan_core_cpi_yearly_df)
|
|
|
|
macro_japan_unemployment_rate_df = macro_japan_unemployment_rate()
|
|
print(macro_japan_unemployment_rate_df)
|
|
|
|
macro_japan_head_indicator_df = macro_japan_head_indicator()
|
|
print(macro_japan_head_indicator_df)
|