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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
import pandas as pd
from agent.settings import DEBUG
from agent.component.base import ComponentBase, ComponentParamBase
from scholarly import scholarly
class GoogleScholarParam(ComponentParamBase):
"""
Define the GoogleScholar component parameters.
"""
def __init__(self):
super().__init__()
self.top_n = 6
self.sort_by = 'relevance'
self.year_low = None
self.year_high = None
self.patents = True
def check(self):
self.check_positive_integer(self.top_n, "Top N")
self.check_valid_value(self.sort_by, "GoogleScholar Sort_by", ['date', 'relevance'])
self.check_boolean(self.patents, "Whether or not to include patents, defaults to True")
class GoogleScholar(ComponentBase, ABC):
component_name = "GoogleScholar"
def _run(self, history, **kwargs):
ans = self.get_input()
ans = " - ".join(ans["content"]) if "content" in ans else ""
if not ans:
return GoogleScholar.be_output("")
scholar_client = scholarly.search_pubs(ans, patents=self._param.patents, year_low=self._param.year_low,
year_high=self._param.year_high, sort_by=self._param.sort_by)
scholar_res = []
for i in range(self._param.top_n):
try:
pub = next(scholar_client)
scholar_res.append({"content": 'Title: ' + pub['bib']['title'] + '\n_Url: <a href="' + pub[
'pub_url'] + '"></a> ' + "\n author: " + ",".join(pub['bib']['author']) + '\n Abstract: ' + pub[
'bib'].get('abstract', 'no abstract')})
except StopIteration or Exception as e:
print("**ERROR** " + str(e))
break
if not scholar_res:
return GoogleScholar.be_output("")
df = pd.DataFrame(scholar_res)
if DEBUG: print(df, ":::::::::::::::::::::::::::::::::")
return df
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