# # 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 random from abc import ABC from functools import partial import pandas as pd import requests import re from agent.settings import DEBUG from agent.component.base import ComponentBase, ComponentParamBase class BaiduParam(ComponentParamBase): """ Define the Baidu component parameters. """ def __init__(self): super().__init__() self.top_n = 10 def check(self): self.check_positive_integer(self.top_n, "Top N") class Baidu(ComponentBase, ABC): component_name = "Baidu" def _run(self, history, **kwargs): ans = self.get_input() ans = " - ".join(ans["content"]) if "content" in ans else "" if not ans: return Baidu.be_output("") try: url = 'https://www.baidu.com/s?wd=' + ans + '&rn=' + str(self._param.top_n) headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.104 Safari/537.36'} response = requests.get(url=url, headers=headers) url_res = re.findall(r"'url': \\\"(.*?)\\\"}", response.text) title_res = re.findall(r"'title': \\\"(.*?)\\\",\\n", response.text) body_res = re.findall(r"\"contentText\":\"(.*?)\"", response.text) baidu_res = [{"content": re.sub('|', '', '' + title + ' ' + body)} for url, title, body in zip(url_res, title_res, body_res)] del body_res, url_res, title_res except Exception as e: return Baidu.be_output("**ERROR**: " + str(e)) if not baidu_res: return Baidu.be_output("") df = pd.DataFrame(baidu_res) if DEBUG: print(df, ":::::::::::::::::::::::::::::::::") return df