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### What problem does this PR solve? Use consistent log file names, introduced initLogger ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [ ] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [x] Refactoring - [ ] Performance Improvement - [ ] Other (please describe):
71 lines
2.5 KiB
Python
71 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 logging
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from abc import ABC
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import pandas as pd
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from agent.component.base import ComponentBase, ComponentParamBase
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from scholarly import scholarly
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class GoogleScholarParam(ComponentParamBase):
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"""
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Define the GoogleScholar component parameters.
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"""
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def __init__(self):
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super().__init__()
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self.top_n = 6
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self.sort_by = 'relevance'
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self.year_low = None
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self.year_high = None
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self.patents = True
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def check(self):
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self.check_positive_integer(self.top_n, "Top N")
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self.check_valid_value(self.sort_by, "GoogleScholar Sort_by", ['date', 'relevance'])
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self.check_boolean(self.patents, "Whether or not to include patents, defaults to True")
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class GoogleScholar(ComponentBase, ABC):
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component_name = "GoogleScholar"
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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 GoogleScholar.be_output("")
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scholar_client = scholarly.search_pubs(ans, patents=self._param.patents, year_low=self._param.year_low,
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year_high=self._param.year_high, sort_by=self._param.sort_by)
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scholar_res = []
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for i in range(self._param.top_n):
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try:
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pub = next(scholar_client)
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scholar_res.append({"content": 'Title: ' + pub['bib']['title'] + '\n_Url: <a href="' + pub[
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'pub_url'] + '"></a> ' + "\n author: " + ",".join(pub['bib']['author']) + '\n Abstract: ' + pub[
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'bib'].get('abstract', 'no abstract')})
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except StopIteration or Exception:
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logging.exception("GoogleScholar")
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break
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if not scholar_res:
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return GoogleScholar.be_output("")
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df = pd.DataFrame(scholar_res)
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logging.debug(f"df: {df}")
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return df
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