From d5b70ad890ba15347d4e6c80280fcd246f9080af Mon Sep 17 00:00:00 2001 From: GuoQing Zhang Date: Mon, 11 Aug 2025 16:02:20 +0800 Subject: [PATCH] =?UTF-8?q?fix:=20=E4=BF=AE=E5=A4=8D=E4=B8=8B=E7=A4=BE?= =?UTF-8?q?=E4=BC=9A=E8=9E=8D=E8=B5=84=E8=A7=84=E6=A8=A1=E5=B7=A5=E5=85=B7?= =?UTF-8?q?=E7=9A=84bug?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../bisheng_langchain/gpts/tools/api_tools/macro_data.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/src/backend/bisheng_langchain/gpts/tools/api_tools/macro_data.py b/src/backend/bisheng_langchain/gpts/tools/api_tools/macro_data.py index 9bce863d8..e88acd84b 100644 --- a/src/backend/bisheng_langchain/gpts/tools/api_tools/macro_data.py +++ b/src/backend/bisheng_langchain/gpts/tools/api_tools/macro_data.py @@ -2,6 +2,7 @@ import json import time from typing import Any +import httpx import pandas as pd import requests from langchain_core.tools import BaseTool @@ -25,7 +26,7 @@ class MacroData(BaseModel): 信托贷款，未贴现银行承兑汇票，企业债券，非金融企业境内股票融资 """ url = 'https://data.mofcom.gov.cn/datamofcom/front/gnmy/shrzgmQuery' - r = requests.post(url) + r = httpx.post(url) data_json = r.json() temp_df = pd.DataFrame(data_json) temp_df.columns = [ @@ -564,10 +565,10 @@ if __name__ == '__main__': # start_date = '' # end_date = '' # print(MacroData.china_ppi(start_date=start_date, end_date=end_date)) - # print(MacroData.china_shrzgm(start_date=start_date, end_date=end_date)) + print(MacroData.china_shrzgm(start_date=tmp_start_date, end_date=tmp_end_date)) # print(MacroData.china_consumer_goods_retail(start_date=start_date, end_date=end_date)) # print(MacroData.china_cpi(start_date=start_date, end_date=end_date)) # print(MacroData.china_pmi(start_date=start_date, end_date=end_date)) # print(MacroData.china_money_supply(start_date=start_date, end_date=end_date)) # print(MacroData.china_gdp_yearly(start_date=start_date, end_date=end_date)) - print(MacroData.bond_zh_us_rate(start_date=tmp_start_date, end_date=tmp_end_date)) + # print(MacroData.bond_zh_us_rate(start_date=tmp_start_date, end_date=tmp_end_date))