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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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