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[mod] PubMed engine: revision of the engine (Paper result)
Revision of the engine / use of the result type Paper as well as other typifications. Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
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docs/dev/engines/online/pubmed.rst
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docs/dev/engines/online/pubmed.rst
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.. _pubmed engine:
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======
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PubMed
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======
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.. automodule:: searx.engines.pubmed
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:members:
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# SPDX-License-Identifier: AGPL-3.0-or-later
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"""PubMed (Scholar publications)
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"""PubMed_ comprises more than 39 million citations for biomedical literature
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from MEDLINE, life science journals, and online books. Citations may include
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links to full text content from PubMed Central and publisher web sites.
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.. _PubMed: https://pubmed.ncbi.nlm.nih.gov/
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Configuration
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=============
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.. code:: yaml
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- name: pubmed
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engine: pubmed
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shortcut: pub
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Implementations
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===============
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"""
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import typing as t
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from datetime import datetime
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from urllib.parse import urlencode
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from lxml import etree
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from searx.result_types import EngineResults
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from searx.network import get
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from searx.utils import (
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eval_xpath_getindex,
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eval_xpath_list,
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extract_text,
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ElementType,
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)
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# about
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if t.TYPE_CHECKING:
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from searx.extended_types import SXNG_Response
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from searx.search.processors import OnlineParams
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about = {
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"website": 'https://www.ncbi.nlm.nih.gov/pubmed/',
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"wikidata_id": 'Q1540899',
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"website": "https://www.ncbi.nlm.nih.gov/pubmed/",
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"wikidata_id": "Q1540899",
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"official_api_documentation": {
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'url': 'https://www.ncbi.nlm.nih.gov/home/develop/api/',
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'comment': 'More info on api: https://www.ncbi.nlm.nih.gov/books/NBK25501/',
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"url": "https://www.ncbi.nlm.nih.gov/home/develop/api/",
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"comment": "More info on api: https://www.ncbi.nlm.nih.gov/books/NBK25501/",
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},
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"use_official_api": True,
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"require_api_key": False,
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"results": 'XML',
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"results": "XML",
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}
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categories = ['science', 'scientific publications']
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categories = ["science", "scientific publications"]
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base_url = (
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'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi' + '?db=pubmed&{query}&retstart={offset}&retmax={hits}'
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)
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eutils_api = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils"
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# engine dependent config
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number_of_results = 10
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pubmed_url = 'https://www.ncbi.nlm.nih.gov/pubmed/'
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pubmed_url = "https://www.ncbi.nlm.nih.gov/pubmed/"
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def request(query, params):
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# basic search
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offset = (params['pageno'] - 1) * number_of_results
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def request(query: str, params: "OnlineParams") -> None:
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string_args = {
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'query': urlencode({'term': query}),
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'offset': offset,
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'hits': number_of_results,
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}
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params['url'] = base_url.format(**string_args)
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return params
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def response(resp): # pylint: disable=too-many-locals
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results = []
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# First retrieve notice of each result
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pubmed_retrieve_api_url = (
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'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?' + 'db=pubmed&retmode=xml&id={pmids_string}'
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)
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pmids_results = etree.XML(resp.content)
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pmids = pmids_results.xpath('//eSearchResult/IdList/Id')
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pmids_string = ''
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for item in pmids:
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pmids_string += item.text + ','
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retrieve_notice_args = {'pmids_string': pmids_string}
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retrieve_url_encoded = pubmed_retrieve_api_url.format(**retrieve_notice_args)
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search_results_response = get(retrieve_url_encoded).content
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search_results = etree.XML(search_results_response)
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for entry in eval_xpath_list(search_results, '//PubmedArticle'):
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medline = eval_xpath_getindex(entry, './MedlineCitation', 0)
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title = eval_xpath_getindex(medline, './/Article/ArticleTitle', 0).text
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pmid = eval_xpath_getindex(medline, './/PMID', 0).text
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url = pubmed_url + pmid
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content = extract_text(
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eval_xpath_getindex(medline, './/Abstract/AbstractText//text()', 0, default=None), allow_none=True
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)
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doi = extract_text(
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eval_xpath_getindex(medline, './/ELocationID[@EIdType="doi"]/text()', 0, default=None), allow_none=True
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)
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journal = extract_text(
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eval_xpath_getindex(medline, './Article/Journal/Title/text()', 0, default=None), allow_none=True
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)
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issn = extract_text(
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eval_xpath_getindex(medline, './Article/Journal/ISSN/text()', 0, default=None), allow_none=True
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)
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authors = []
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for author in eval_xpath_list(medline, './Article/AuthorList/Author'):
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f = eval_xpath_getindex(author, './ForeName', 0, default=None)
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l = eval_xpath_getindex(author, './LastName', 0, default=None)
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f = '' if f is None else f.text
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l = '' if l is None else l.text
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authors.append((f + ' ' + l).strip())
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res_dict = {
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'template': 'paper.html',
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'url': url,
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'title': title,
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'content': content or "",
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'journal': journal,
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'issn': [issn],
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'authors': authors,
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'doi': doi,
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args = urlencode(
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{
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"db": "pubmed",
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"term": query,
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"retstart": (params["pageno"] - 1) * number_of_results,
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"hits": number_of_results,
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}
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)
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esearch_url = f"{eutils_api}/esearch.fcgi?{args}"
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# DTD: https://eutils.ncbi.nlm.nih.gov/eutils/dtd/20060628/esearch.dtd
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esearch_resp: "SXNG_Response" = get(esearch_url)
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pmids_results = etree.XML(esearch_resp.content)
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pmids: list[str] = [i.text for i in pmids_results.xpath("//eSearchResult/IdList/Id")]
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# send efetch request with the IDs from esearch response
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args = urlencode(
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{
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"db": "pubmed",
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"retmode": "xml",
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"id": ",".join(pmids),
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}
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)
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efetch_url = f"{eutils_api}/efetch.fcgi?{args}"
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params["url"] = efetch_url
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def response(resp: "SXNG_Response") -> EngineResults: # pylint: disable=too-many-locals
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# DTD: https://dtd.nlm.nih.gov/ncbi/pubmed/out/pubmed_250101.dtd
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# parse efetch response
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efetch_xml = etree.XML(resp.content)
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res = EngineResults()
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def _field_txt(xml: ElementType, xpath_str: str) -> str:
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elem = eval_xpath_getindex(xml, xpath_str, 0, default="")
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return extract_text(elem, allow_none=True) or ""
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for pubmed_article in eval_xpath_list(efetch_xml, "//PubmedArticle"):
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medline_citation: ElementType = eval_xpath_getindex(pubmed_article, "./MedlineCitation", 0)
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pubmed_data: ElementType = eval_xpath_getindex(pubmed_article, "./PubmedData", 0)
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title: str = eval_xpath_getindex(medline_citation, ".//Article/ArticleTitle", 0).text
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pmid: str = eval_xpath_getindex(medline_citation, ".//PMID", 0).text
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url: str = pubmed_url + pmid
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content = _field_txt(medline_citation, ".//Abstract/AbstractText//text()")
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doi = _field_txt(medline_citation, ".//ELocationID[@EIdType='doi']/text()")
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journal = _field_txt(medline_citation, "./Article/Journal/Title/text()")
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issn = _field_txt(medline_citation, "./Article/Journal/ISSN/text()")
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authors: list[str] = []
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for author in eval_xpath_list(medline_citation, "./Article/AuthorList/Author"):
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f = eval_xpath_getindex(author, "./ForeName", 0, default=None)
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l = eval_xpath_getindex(author, "./LastName", 0, default=None)
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author_name = f"{f.text if f is not None else ''} {l.text if l is not None else ''}".strip()
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if author_name:
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authors.append(author_name)
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accepted_date = eval_xpath_getindex(
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entry, './PubmedData/History//PubMedPubDate[@PubStatus="accepted"]', 0, default=None
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pubmed_data, "./History//PubMedPubDate[@PubStatus='accepted']", 0, default=None
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)
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pub_date = None
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if accepted_date is not None:
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year = eval_xpath_getindex(accepted_date, './Year', 0)
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month = eval_xpath_getindex(accepted_date, './Month', 0)
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day = eval_xpath_getindex(accepted_date, './Day', 0)
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year = eval_xpath_getindex(accepted_date, "./Year", 0)
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month = eval_xpath_getindex(accepted_date, "./Month", 0)
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day = eval_xpath_getindex(accepted_date, "./Day", 0)
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try:
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publishedDate = datetime.strptime(
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year.text + '-' + month.text + '-' + day.text,
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'%Y-%m-%d',
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)
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res_dict['publishedDate'] = publishedDate
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except Exception as e: # pylint: disable=broad-exception-caught
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print(e)
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pub_date = datetime(year=int(year.text), month=int(month.text), day=int(day.text))
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except ValueError:
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pass
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results.append(res_dict)
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return results
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res.add(
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res.types.Paper(
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url=url,
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title=title,
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content=content,
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journal=journal,
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issn=[issn],
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authors=authors,
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doi=doi,
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publishedDate=pub_date,
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)
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)
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return res
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@ -1735,7 +1735,6 @@ engines:
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- name: pubmed
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engine: pubmed
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shortcut: pub
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timeout: 3.0
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- name: pypi
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shortcut: pypi
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