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- #
- # 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)
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