# # Copyright 2024 The InfiniFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import json from abc import ABC import pandas as pd import time import requests from agent.component.base import ComponentBase, ComponentParamBase class TuShareParam(ComponentParamBase): """ Define the TuShare component parameters. """ def __init__(self): super().__init__() self.token = "xxx" self.src = "eastmoney" self.start_date = "2024-01-01 09:00:00" self.end_date = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) self.keyword = "" def check(self): self.check_valid_value(self.src, "Quick News Source", ["sina", "wallstreetcn", "10jqka", "eastmoney", "yuncaijing", "fenghuang", "jinrongjie"]) class TuShare(ComponentBase, ABC): component_name = "TuShare" def _run(self, history, **kwargs): ans = self.get_input() ans = ",".join(ans["content"]) if "content" in ans else "" if not ans: return TuShare.be_output("") try: tus_res = [] params = { "api_name": "news", "token": self._param.token, "params": {"src": self._param.src, "start_date": self._param.start_date, "end_date": self._param.end_date} } response = requests.post(url="http://api.tushare.pro", data=json.dumps(params).encode('utf-8')) response = response.json() if response['code'] != 0: return TuShare.be_output(response['msg']) df = pd.DataFrame(response['data']['items']) df.columns = response['data']['fields'] tus_res.append({"content": (df[df['content'].str.contains(self._param.keyword, case=False)]).to_markdown()}) except Exception as e: return TuShare.be_output("**ERROR**: " + str(e)) if not tus_res: return TuShare.be_output("") return pd.DataFrame(tus_res)