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fd0bf3adf0
### What problem does this PR solve? Format the code ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import json
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from abc import ABC
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import pandas as pd
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import time
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import requests
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from agent.component.base import ComponentBase, ComponentParamBase
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class TuShareParam(ComponentParamBase):
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"""
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Define the TuShare component parameters.
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"""
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def __init__(self):
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super().__init__()
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self.token = "xxx"
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self.src = "eastmoney"
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self.start_date = "2024-01-01 09:00:00"
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self.end_date = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
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self.keyword = ""
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def check(self):
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self.check_valid_value(self.src, "Quick News Source",
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["sina", "wallstreetcn", "10jqka", "eastmoney", "yuncaijing", "fenghuang", "jinrongjie"])
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class TuShare(ComponentBase, ABC):
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component_name = "TuShare"
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def _run(self, history, **kwargs):
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ans = self.get_input()
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ans = ",".join(ans["content"]) if "content" in ans else ""
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if not ans:
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return TuShare.be_output("")
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try:
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tus_res = []
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params = {
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"api_name": "news",
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"token": self._param.token,
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"params": {"src": self._param.src, "start_date": self._param.start_date,
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"end_date": self._param.end_date}
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}
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response = requests.post(url="http://api.tushare.pro", data=json.dumps(params).encode('utf-8'))
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response = response.json()
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if response['code'] != 0:
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return TuShare.be_output(response['msg'])
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df = pd.DataFrame(response['data']['items'])
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df.columns = response['data']['fields']
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tus_res.append({"content": (df[df['content'].str.contains(self._param.keyword, case=False)]).to_markdown()})
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except Exception as e:
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return TuShare.be_output("**ERROR**: " + str(e))
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if not tus_res:
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return TuShare.be_output("")
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return pd.DataFrame(tus_res)
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