Вы не можете выбрать более 25 тем Темы должны начинаться с буквы или цифры, могут содержать дефисы(-) и должны содержать не более 35 символов.

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  1. #
  2. # Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
  3. #
  4. # Licensed under the Apache License, Version 2.0 (the "License");
  5. # you may not use this file except in compliance with the License.
  6. # You may obtain a copy of the License at
  7. #
  8. # http://www.apache.org/licenses/LICENSE-2.0
  9. #
  10. # Unless required by applicable law or agreed to in writing, software
  11. # distributed under the License is distributed on an "AS IS" BASIS,
  12. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. # See the License for the specific language governing permissions and
  14. # limitations under the License.
  15. #
  16. from abc import ABC
  17. from Bio import Entrez
  18. import re
  19. import pandas as pd
  20. import xml.etree.ElementTree as ET
  21. from agent.component.base import ComponentBase, ComponentParamBase
  22. from api.utils.log_utils import logger
  23. class PubMedParam(ComponentParamBase):
  24. """
  25. Define the PubMed component parameters.
  26. """
  27. def __init__(self):
  28. super().__init__()
  29. self.top_n = 5
  30. self.email = "A.N.Other@example.com"
  31. def check(self):
  32. self.check_positive_integer(self.top_n, "Top N")
  33. class PubMed(ComponentBase, ABC):
  34. component_name = "PubMed"
  35. def _run(self, history, **kwargs):
  36. ans = self.get_input()
  37. ans = " - ".join(ans["content"]) if "content" in ans else ""
  38. if not ans:
  39. return PubMed.be_output("")
  40. try:
  41. Entrez.email = self._param.email
  42. pubmedids = Entrez.read(Entrez.esearch(db='pubmed', retmax=self._param.top_n, term=ans))['IdList']
  43. pubmedcnt = ET.fromstring(re.sub(r'<(/?)b>|<(/?)i>', '', Entrez.efetch(db='pubmed', id=",".join(pubmedids),
  44. retmode="xml").read().decode(
  45. "utf-8")))
  46. pubmed_res = [{"content": 'Title:' + child.find("MedlineCitation").find("Article").find(
  47. "ArticleTitle").text + '\nUrl:<a href=" https://pubmed.ncbi.nlm.nih.gov/' + child.find(
  48. "MedlineCitation").find("PMID").text + '">' + '</a>\n' + 'Abstract:' + (
  49. child.find("MedlineCitation").find("Article").find("Abstract").find(
  50. "AbstractText").text if child.find("MedlineCitation").find(
  51. "Article").find("Abstract") else "No abstract available")} for child in
  52. pubmedcnt.findall("PubmedArticle")]
  53. except Exception as e:
  54. return PubMed.be_output("**ERROR**: " + str(e))
  55. if not pubmed_res:
  56. return PubMed.be_output("")
  57. df = pd.DataFrame(pubmed_res)
  58. logger.debug(f"df: {df}")
  59. return df