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fix: fix bond_cov_issue_cninfo
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@albertandking
albertandking committed Jun 19, 2024
1 parent 4e16508 commit bca5944
Showing 1 changed file with 72 additions and 29 deletions.
101 changes: 72 additions & 29 deletions akshare/bond/bond_issue_cninfo.py
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Original file line number Diff line number Diff line change
@@ -1,11 +1,10 @@
# -*- coding:utf-8 -*-
# !/usr/bin/env python
"""
Date: 2023/6/12 15:00
Date: 2024/6/19 22:00
Desc: 巨潮资讯-数据中心-专题统计-债券报表-债券发行
http://webapi.cninfo.com.cn/#/thematicStatistics
"""
import time

import pandas as pd
import requests
Expand All @@ -23,7 +22,7 @@ def _get_file_content_cninfo(file: str = "cninfo.js") -> str:
:rtype: str
"""
setting_file_path = get_ths_js(file)
with open(setting_file_path) as f:
with open(setting_file_path, encoding="utf-8") as f:
file_data = f.read()
return file_data

Expand Down Expand Up @@ -58,7 +57,8 @@ def bond_treasure_issue_cninfo(
"Pragma": "no-cache",
"Proxy-Connection": "keep-alive",
"Referer": "http://webapi.cninfo.com.cn/",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/93.0.4577.63 Safari/537.36",
"X-Requested-With": "XMLHttpRequest",
}
params = {
Expand Down Expand Up @@ -107,8 +107,12 @@ def bond_treasure_issue_cninfo(
"债券名称",
]
]
temp_df["发行起始日"] = pd.to_datetime(temp_df["发行起始日"], errors="coerce").dt.date
temp_df["发行终止日"] = pd.to_datetime(temp_df["发行终止日"], errors="coerce").dt.date
temp_df["发行起始日"] = pd.to_datetime(
temp_df["发行起始日"], errors="coerce"
).dt.date
temp_df["发行终止日"] = pd.to_datetime(
temp_df["发行终止日"], errors="coerce"
).dt.date
temp_df["缴款日"] = pd.to_datetime(temp_df["缴款日"], errors="coerce").dt.date
temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
temp_df["计划发行总量"] = pd.to_numeric(temp_df["计划发行总量"], errors="coerce")
Expand All @@ -133,7 +137,6 @@ def bond_local_government_issue_cninfo(
:rtype: pandas.DataFrame
"""
url = "http://webapi.cninfo.com.cn/api/sysapi/p_sysapi1121"
random_time_str = str(int(time.time()))
js_code = py_mini_racer.MiniRacer()
js_content = _get_file_content_cninfo("cninfo.js")
js_code.eval(js_content)
Expand All @@ -150,7 +153,8 @@ def bond_local_government_issue_cninfo(
"Pragma": "no-cache",
"Proxy-Connection": "keep-alive",
"Referer": "http://webapi.cninfo.com.cn/",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/93.0.4577.63 Safari/537.36",
"X-Requested-With": "XMLHttpRequest",
}
params = {
Expand Down Expand Up @@ -199,8 +203,12 @@ def bond_local_government_issue_cninfo(
"债券名称",
]
]
temp_df["发行起始日"] = pd.to_datetime(temp_df["发行起始日"], errors="coerce").dt.date
temp_df["发行终止日"] = pd.to_datetime(temp_df["发行终止日"], errors="coerce").dt.date
temp_df["发行起始日"] = pd.to_datetime(
temp_df["发行起始日"], errors="coerce"
).dt.date
temp_df["发行终止日"] = pd.to_datetime(
temp_df["发行终止日"], errors="coerce"
).dt.date
temp_df["缴款日"] = pd.to_datetime(temp_df["缴款日"], errors="coerce").dt.date
temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
temp_df["计划发行总量"] = pd.to_numeric(temp_df["计划发行总量"], errors="coerce")
Expand Down Expand Up @@ -241,7 +249,8 @@ def bond_corporate_issue_cninfo(
"Pragma": "no-cache",
"Proxy-Connection": "keep-alive",
"Referer": "http://webapi.cninfo.com.cn/",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/93.0.4577.63 Safari/537.36",
"X-Requested-With": "XMLHttpRequest",
}
params = {
Expand Down Expand Up @@ -295,8 +304,12 @@ def bond_corporate_issue_cninfo(
]
]
temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
temp_df["交易所网上发行起始日"] = pd.to_datetime(temp_df["交易所网上发行起始日"], errors="coerce").dt.date
temp_df["交易所网上发行终止日"] = pd.to_datetime(temp_df["交易所网上发行终止日"], errors="coerce").dt.date
temp_df["交易所网上发行起始日"] = pd.to_datetime(
temp_df["交易所网上发行起始日"], errors="coerce"
).dt.date
temp_df["交易所网上发行终止日"] = pd.to_datetime(
temp_df["交易所网上发行终止日"], errors="coerce"
).dt.date
temp_df["计划发行总量"] = pd.to_numeric(temp_df["计划发行总量"], errors="coerce")
temp_df["实际发行总量"] = pd.to_numeric(temp_df["实际发行总量"], errors="coerce")
temp_df["发行面值"] = pd.to_numeric(temp_df["发行面值"], errors="coerce")
Expand Down Expand Up @@ -336,7 +349,8 @@ def bond_cov_issue_cninfo(
"Pragma": "no-cache",
"Proxy-Connection": "keep-alive",
"Referer": "http://webapi.cninfo.com.cn/",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/93.0.4577.63 Safari/537.36",
"X-Requested-With": "XMLHttpRequest",
}
params = {
Expand Down Expand Up @@ -418,23 +432,47 @@ def bond_cov_issue_cninfo(
]
]
temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
temp_df["发行起始日"] = pd.to_datetime(temp_df["发行起始日"], errors="coerce").dt.date
temp_df["发行终止日"] = pd.to_datetime(temp_df["发行终止日"], errors="coerce").dt.date
temp_df["转股开始日期"] = pd.to_datetime(temp_df["转股开始日期"], errors="coerce").dt.date
temp_df["转股终止日期"] = pd.to_datetime(temp_df["转股终止日期"], errors="coerce").dt.date
temp_df["转股终止日期"] = pd.to_datetime(temp_df["转股终止日期"], errors="coerce").dt.date
temp_df["网上申购日期"] = pd.to_datetime(temp_df["网上申购日期"], errors="coerce").dt.date
temp_df["网上申购中签结果公告日及退款日"] = pd.to_datetime(temp_df["网上申购中签结果公告日及退款日"], errors="coerce").dt.date
temp_df["债权登记日"] = pd.to_datetime(temp_df["债权登记日"], errors="coerce").dt.date
temp_df["优先申购日"] = pd.to_datetime(temp_df["优先申购日"], errors="coerce").dt.date
temp_df["优先申购缴款日"] = pd.to_datetime(temp_df["优先申购缴款日"], errors="coerce").dt.date
temp_df["发行起始日"] = pd.to_datetime(
temp_df["发行起始日"], errors="coerce"
).dt.date
temp_df["发行终止日"] = pd.to_datetime(
temp_df["发行终止日"], errors="coerce"
).dt.date
temp_df["转股开始日期"] = pd.to_datetime(
temp_df["转股开始日期"], errors="coerce"
).dt.date
temp_df["转股终止日期"] = pd.to_datetime(
temp_df["转股终止日期"], errors="coerce"
).dt.date
temp_df["转股终止日期"] = pd.to_datetime(
temp_df["转股终止日期"], errors="coerce"
).dt.date
temp_df["网上申购日期"] = pd.to_datetime(
temp_df["网上申购日期"], errors="coerce"
).dt.date
temp_df["网上申购中签结果公告日及退款日"] = pd.to_datetime(
temp_df["网上申购中签结果公告日及退款日"], errors="coerce"
).dt.date
temp_df["债权登记日"] = pd.to_datetime(
temp_df["债权登记日"], errors="coerce"
).dt.date
temp_df["优先申购日"] = pd.to_datetime(
temp_df["优先申购日"], errors="coerce"
).dt.date
temp_df["优先申购缴款日"] = pd.to_datetime(
temp_df["优先申购缴款日"], errors="coerce"
).dt.date
temp_df["计划发行总量"] = pd.to_numeric(temp_df["计划发行总量"], errors="coerce")
temp_df["实际发行总量"] = pd.to_numeric(temp_df["实际发行总量"], errors="coerce")
temp_df["发行面值"] = pd.to_numeric(temp_df["发行面值"], errors="coerce")
temp_df["发行价格"] = pd.to_numeric(temp_df["发行价格"], errors="coerce")
temp_df["初始转股价格"] = pd.to_numeric(temp_df["初始转股价格"], errors="coerce")
temp_df["网上申购数量上限"] = pd.to_numeric(temp_df["网上申购数量上限"], errors="coerce")
temp_df["网上申购数量下限"] = pd.to_numeric(temp_df["网上申购数量下限"], errors="coerce")
temp_df["网上申购数量上限"] = pd.to_numeric(
temp_df["网上申购数量上限"], errors="coerce"
)
temp_df["网上申购数量下限"] = pd.to_numeric(
temp_df["网上申购数量下限"], errors="coerce"
)
temp_df["网上申购单位"] = pd.to_numeric(temp_df["网上申购单位"], errors="coerce")
temp_df["配售价格"] = pd.to_numeric(temp_df["配售价格"], errors="coerce")
return temp_df
Expand Down Expand Up @@ -464,7 +502,8 @@ def bond_cov_stock_issue_cninfo() -> pd.DataFrame:
"Pragma": "no-cache",
"Proxy-Connection": "keep-alive",
"Referer": "http://webapi.cninfo.com.cn/",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/93.0.4577.63 Safari/537.36",
"X-Requested-With": "XMLHttpRequest",
}
r = requests.post(url, headers=headers)
Expand Down Expand Up @@ -500,8 +539,12 @@ def bond_cov_stock_issue_cninfo() -> pd.DataFrame:
]
]
temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
temp_df["自愿转换期起始日"] = pd.to_datetime(temp_df["自愿转换期起始日"], errors="coerce").dt.date
temp_df["自愿转换期终止日"] = pd.to_datetime(temp_df["自愿转换期终止日"], errors="coerce").dt.date
temp_df["自愿转换期起始日"] = pd.to_datetime(
temp_df["自愿转换期起始日"], errors="coerce"
).dt.date
temp_df["自愿转换期终止日"] = pd.to_datetime(
temp_df["自愿转换期终止日"], errors="coerce"
).dt.date
temp_df["转股价格"] = pd.to_numeric(temp_df["转股价格"], errors="coerce")
return temp_df

Expand Down

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