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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.
#
from abc import ABC
from duckduckgo_search import DDGS
import pandas as pd
from agent.settings import DEBUG
from agent.component.base import ComponentBase, ComponentParamBase
class DuckDuckGoParam(ComponentParamBase):
"""
Define the DuckDuckGo component parameters.
"""
def __init__(self):
super().__init__()
self.top_n = 10
self.channel = "text"
def check(self):
self.check_positive_integer(self.top_n, "Top N")
self.check_valid_value(self.channel, "Web Search or News", ["text", "news"])
class DuckDuckGo(ComponentBase, ABC):
component_name = "DuckDuckGo"
def _run(self, history, **kwargs):
ans = self.get_input()
ans = " - ".join(ans["content"]) if "content" in ans else ""
if not ans:
return DuckDuckGo.be_output("")
try:
if self._param.channel == "text":
with DDGS() as ddgs:
# {'title': '', 'href': '', 'body': ''}
duck_res = [{"content": '<a href="' + i["href"] + '">' + i["title"] + '</a> ' + i["body"]} for i
in ddgs.text(ans, max_results=self._param.top_n)]
elif self._param.channel == "news":
with DDGS() as ddgs:
# {'date': '', 'title': '', 'body': '', 'url': '', 'image': '', 'source': ''}
duck_res = [{"content": '<a href="' + i["url"] + '">' + i["title"] + '</a> ' + i["body"]} for i
in ddgs.news(ans, max_results=self._param.top_n)]
except Exception as e:
return DuckDuckGo.be_output("**ERROR**: " + str(e))
if not duck_res:
return DuckDuckGo.be_output("")
df = pd.DataFrame(duck_res)
if DEBUG: print(df, ":::::::::::::::::::::::::::::::::")
return df
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