# # 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 from Bio import Entrez import pandas as pd import xml.etree.ElementTree as ET from graph.settings import DEBUG from graph.component.base import ComponentBase, ComponentParamBase class PubMedParam(ComponentParamBase): """ Define the PubMed component parameters. """ def __init__(self): super().__init__() self.top_n = 5 self.email = "A.N.Other@example.com" def check(self): self.check_positive_integer(self.top_n, "Top N") class PubMed(ComponentBase, ABC): component_name = "PubMed" def _run(self, history, **kwargs): ans = self.get_input() ans = " - ".join(ans["content"]) if "content" in ans else "" if not ans: return PubMed.be_output("") try: Entrez.email = self._param.email pubmedids = Entrez.read(Entrez.esearch(db='pubmed', retmax=self._param.top_n, term=ans))['IdList'] pubmedcnt = ET.fromstring( Entrez.efetch(db='pubmed', id=",".join(pubmedids), retmode="xml").read().decode("utf-8")) pubmed_res = [{"content": 'Title:' + child.find("MedlineCitation").find("Article").find( "ArticleTitle").text + '\nUrl:' + '\n' + 'Abstract:' + child.find( "MedlineCitation").find("Article").find("Abstract").find("AbstractText").text} for child in pubmedcnt.findall("PubmedArticle")] except Exception as e: return PubMed.be_output("**ERROR**: " + str(e)) if not pubmed_res: return PubMed.be_output("") df = pd.DataFrame(pubmed_res) if DEBUG: print(df, ":::::::::::::::::::::::::::::::::") return df