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import sys
import json
import sqlite3
import datetime
import warnings
from bs4 import BeautifulSoup
from bs4.element import NavigableString
import fatcat_client
from .common import EntityImporter, clean, LANG_MAP_MARC
# from: https://www.ncbi.nlm.nih.gov/books/NBK3827/table/pubmedhelp.T.publication_types/?report=objectonly
PUBMED_RELEASE_TYPE_MAP = {
#Adaptive Clinical Trial
"Address": "speech",
"Autobiography": "book",
#Bibliography
"Biography": "book",
#Case Reports
"Classical Article": "article-journal",
#Clinical Conference
#Clinical Study
#Clinical Trial
#Clinical Trial, Phase I
#Clinical Trial, Phase II
#Clinical Trial, Phase III
#Clinical Trial, Phase IV
#Clinical Trial Protocol
#Clinical Trial, Veterinary
#Collected Works
#Comparative Study
#Congress
#Consensus Development Conference
#Consensus Development Conference, NIH
#Controlled Clinical Trial
"Dataset": "dataset",
#Dictionary
#Directory
#Duplicate Publication
"Editorial": "editorial",
#English Abstract # doesn't indicate that this is abstract-only
#Equivalence Trial
#Evaluation Studies
#Expression of Concern
#Festschrift
#Government Document
#Guideline
"Historical Article": "article-journal",
#Interactive Tutorial
"Interview": "interview",
"Introductory Journal Article": "article-journal",
"Journal Article": "article-journal",
"Lecture": "speech",
"Legal Case": "legal_case",
"Legislation": "legislation",
"Letter": "letter",
#Meta-Analysis
#Multicenter Study
#News
"Newspaper Article": "article-newspaper",
#Observational Study
#Observational Study, Veterinary
#Overall
#Patient Education Handout
#Periodical Index
#Personal Narrative
#Portrait
#Practice Guideline
#Pragmatic Clinical Trial
#Publication Components
#Publication Formats
#Publication Type Category
#Randomized Controlled Trial
#Research Support, American Recovery and Reinvestment Act
#Research Support, N.I.H., Extramural
#Research Support, N.I.H., Intramural
#Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.
#Research Support, U.S. Gov't, P.H.S.
#Review # in the "literature review" sense, not "product review"
#Scientific Integrity Review
#Study Characteristics
#Support of Research
#Systematic Review
"Technical Report": "report",
#Twin Study
#Validation Studies
#Video-Audio Media
#Webcasts
}
MONTH_ABBR_MAP = {
"Jan": 1, "01": 1,
"Feb": 2, "02": 2,
"Mar": 3, "03": 3,
"Apr": 4, "04": 4,
"May": 5, "05": 5,
"Jun": 6, "06": 6,
"Jul": 7, "07": 7,
"Aug": 8, "08": 8,
"Sep": 9, "09": 9,
"Oct": 10, "10": 10,
"Nov": 11, "11": 11,
"Dec": 12, "12": 12,
}
class PubmedImporter(EntityImporter):
"""
Importer for PubMed/MEDLINE XML metadata.
If lookup_refs is true, will do identifer-based lookups for all references.
TODO: MEDLINE doesn't include PMC/OA license; could include in importer?
"""
def __init__(self, api, issn_map_file, lookup_refs=False, **kwargs):
eg_desc = kwargs.get('editgroup_description',
"Automated import of PubMed/MEDLINE XML metadata")
eg_extra = kwargs.get('editgroup_extra', dict())
eg_extra['agent'] = eg_extra.get('agent', 'fatcat_tools.PubmedImporter')
super().__init__(api,
issn_map_file=issn_map_file,
editgroup_description=eg_desc,
editgroup_extra=eg_extra,
**kwargs)
self.lookup_refs = lookup_refs
extid_map_file = kwargs.get('extid_map_file')
self.extid_map_db = None
if extid_map_file:
db_uri = "file:{}?mode=ro".format(extid_map_file)
print("Using external ID map: {}".format(db_uri))
self.extid_map_db = sqlite3.connect(db_uri, uri=True)
else:
print("Not using external ID map")
self.create_containers = kwargs.get('create_containers')
self.read_issn_map_file(issn_map_file)
def lookup_ext_ids(self, pmid):
if self.extid_map_db is None:
return dict(doi=None, core_id=None, pmid=None, pmcid=None,
wikidata_qid=None, arxiv_id=None, jstor_id=None)
row = self.extid_map_db.execute("SELECT core, doi, pmcid, wikidata FROM ids WHERE pmid=? LIMIT 1",
[pmid]).fetchone()
if row is None:
return dict(doi=None, core_id=None, pmid=None, pmcid=None,
wikidata_qid=None, arxiv_id=None, jstor_id=None)
row = [str(cell or '') or None for cell in row]
return dict(
core_id=row[0],
doi=row[1],
pmcid=row[2],
wikidata_qid=row[3],
# TODO:
arxiv_id=None,
jstor_id=None,
)
def want(self, obj):
return True
def parse_record(self, a):
medline = a.MedlineCitation
# PubmedData isn't required by DTD, but seems to always be present
pubmed = a.PubmedData
extra = dict()
extra_pubmed = dict()
identifiers = pubmed.ArticleIdList
pmid = medline.PMID.string.strip()
doi = identifiers.find("ArticleId", IdType="doi")
if doi:
doi = doi.string.lower()
pmcid = identifiers.find("ArticleId", IdType="pmc")
if pmcid:
pmcid = pmcid.string
release_type = None
pub_types = []
for pub_type in medline.Article.PublicationTypeList.find_all("PublicationType"):
pub_types.append(pub_type.string)
if pub_type.string in PUBMED_RELEASE_TYPE_MAP:
release_type = PUBMED_RELEASE_TYPE_MAP[pub_type.string]
break
if pub_types:
extra_pubmed['pub_types'] = pub_types
if medline.Article.PublicationTypeList.find(string="Retraction of Publication"):
release_type = "retraction"
retraction_of = medline.find("CommentsCorrections", RefType="RetractionOf")
if retraction_of:
extra_pubmed['retraction_of_raw'] = retraction_of.RefSource.string
extra_pubmed['retraction_of_pmid'] = retraction_of.PMID.string
# everything in medline is published
release_stage = "published"
if medline.Article.PublicationTypeList.find(string="Corrected and Republished Article"):
release_stage = "updated"
if medline.Article.PublicationTypeList.find(string="Retraction of Publication"):
release_stage = "retraction"
withdrawn_status = None
if medline.Article.PublicationTypeList.find(string="Retracted Publication"):
withdrawn_status = "retracted"
elif medline.find("CommentsCorrections", RefType="ExpressionOfConcernIn"):
withdrawn_status = "concern"
pages = medline.find('MedlinePgn')
if pages:
pages = pages.string
title = medline.Article.ArticleTitle.string # always present
if title:
if title.endswith('.'):
title = title[:-1]
# this hides some "special" titles, but the vast majority are
# translations; translations don't always include the original_title
if title.startswith('[') and title.endswith(']'):
title = title[1:-1]
else:
# will filter out later
title = None
original_title = medline.Article.find("VernacularTitle", recurse=False)
if original_title:
original_title = original_title.string or None
if original_title and original_title.endswith('.'):
original_title = original_title[:-1]
# TODO: happening in alpha order, not handling multi-language well.
language = medline.Article.Language
if language:
language = language.string
if language in ("und", "un"):
# "undetermined"
language = None
else:
language = LANG_MAP_MARC.get(language)
if not language:
warnings.warn("MISSING MARC LANG: {}".format(medline.Article.Language.string))
### Journal/Issue Metadata
# MedlineJournalInfo is always present
issnl = None
container_id = None
container_name = None
container_extra = dict()
mji = medline.MedlineJournalInfo
if mji.find("Country"):
container_extra['country_name'] = mji.Country.string
if mji.find("ISSNLinking"):
issnl = mji.ISSNLinking.string
journal = medline.Article.Journal
issnp = journal.find("ISSN", IssnType="Print")
if issnp:
container_extra['issnp'] = issnp.string
if not issnl:
issnll = self.issn2issnl(issnp)
if issnl:
container_id = self.lookup_issnl(issnl)
pub_date = medline.Article.find('ArticleDate')
if not pub_date:
pub_date = journal.PubDate
release_date = None
release_year = None
if pub_date.Year:
release_year = int(pub_date.Year.string)
if pub_date.find("Day") and pub_date.find("Month"):
release_date = datetime.date(
release_year,
MONTH_ABBR_MAP[pub_date.Month.string],
int(pub_date.Day.string))
release_date = release_date.isoformat()
if journal.find("Title"):
container_name = journal.Title.string
if (container_id is None and self.create_containers and (issnl is not None)
and container_name):
# name, type, publisher, issnl
# extra: issnp, issne, original_name, languages, country
ce = fatcat_client.ContainerEntity(
name=container_name,
container_type='journal',
#NOTE: publisher not included
issnl=issnl,
extra=(container_extra or None))
ce_edit = self.create_container(ce)
container_id = ce_edit.ident
ji = journal.JournalIssue
volume = None
if ji.find("Volume"):
volume = ji.Volume.string
issue = None
if ji.find("Issue"):
issue = ji.Issue.string
### Abstracts
# "All abstracts are in English"
abstracts = []
primary_abstract = medline.find("Abstract")
if primary_abstract and primary_abstract.AbstractText.get('NlmCategory'):
joined = "\n".join([m.get_text() for m in primary_abstract.find_all("AbstractText")])
abstracts.append(fatcat_client.ReleaseAbstract(
content=joined,
mimetype="text/plain",
lang="en",
))
elif primary_abstract:
for abstract in primary_abstract.find_all("AbstractText"):
abstracts.append(fatcat_client.ReleaseAbstract(
content=abstract.get_text().strip(),
mimetype="text/plain",
lang="en",
))
if abstract.find('math'):
abstracts.append(fatcat_client.ReleaseAbstract(
# strip the <AbstractText> tags
content=str(abstract)[14:-15],
mimetype="application/mathml+xml",
lang="en",
))
other_abstracts = medline.find_all("OtherAbstract")
for other in other_abstracts:
lang = "en"
if other.get('Language'):
lang = LANG_MAP_MARC.get(other['Language'])
abstracts.append(fatcat_client.ReleaseAbstract(
content=other.AbstractText.get_text().strip(),
mimetype="text/plain",
lang=lang,
))
if not abstracts:
abstracts = None
### Contribs
contribs = []
if medline.AuthorList:
for author in medline.AuthorList.find_all("Author"):
creator_id = None
given_name = None
surname = None
raw_name = None
if author.ForeName:
given_name = author.ForeName.string
if author.LastName:
surname = author.LastName.string
if given_name and surname:
raw_name = "{} {}".format(given_name, surname)
elif surname:
raw_name = surname
contrib_extra = dict()
orcid = author.find("Identifier", Source="ORCID")
if orcid:
# needs re-formatting from, eg, "0000000179841889"
orcid = orcid.string
if orcid.startswith("http://orcid.org/"):
orcid = orcid.replace("http://orcid.org/", "")
elif orcid.startswith("https://orcid.org/"):
orcid = orcid.replace("https://orcid.org/", "")
elif not '-' in orcid:
orcid = "{}-{}-{}-{}".format(
orcid[0:4],
orcid[4:8],
orcid[8:12],
orcid[12:16],
)
creator_id = self.lookup_orcid(orcid)
contrib_extra['orcid'] = orcid
affiliations = author.find_all("Affiliation")
raw_affiliation = None
if affiliations:
raw_affiliation = affiliations[0].string
if len(affiliations) > 1:
contrib_extra['more_affiliations'] = [ra.string for ra in affiliations[1:]]
if author.find("EqualContrib"):
# TODO: schema for this?
contrib_extra['equal'] = True
contribs.append(fatcat_client.ReleaseContrib(
raw_name=raw_name,
given_name=given_name,
surname=surname,
role="author",
raw_affiliation=raw_affiliation,
creator_id=creator_id,
extra=contrib_extra,
))
if medline.AuthorList['CompleteYN'] == 'N':
contribs.append(fatcat_client.ReleaseContrib(raw_name="et al."))
if not contribs:
contribs = None
### References
refs = []
if pubmed.ReferenceList:
for ref in pubmed.ReferenceList.find_all('Reference'):
ref_extra = dict()
ref_pmid = ref.find("ArticleId", IdType="pubmed")
ref_doi = ref.find("ArticleId", IdType="doi")
ref_release_id = None
if ref_pmid:
ref_pmid = ref_pmid.string.strip()
ref_extra['pmid'] = ref_pmid
if self.lookup_refs:
ref_release_id = self.lookup_pmid(ref_pmid)
if ref_doi:
ref_doi = ref_doi.string.lower().strip()
ref_extra['doi'] = ref_doi
if self.lookup_refs:
ref_release_id = self.lookup_doi(ref_doi)
ref_raw = ref.Citation
if ref_raw:
ref_extra['unstructured'] = ref_raw.string
if not ref_extra:
ref_extra = None
refs.append(fatcat_client.ReleaseRef(
target_release_id=ref_release_id,
extra=ref_extra,
))
if not refs:
refs = None
# extra:
# translation_of
# subtitle
# aliases
# container_name
# group-title
# pubmed: retraction refs
if extra_pubmed:
extra['pubmed'] = extra_pubmed
if not extra:
extra = None
title = clean(title)
if not title:
return None
re = fatcat_client.ReleaseEntity(
work_id=None,
title=title,
original_title=clean(original_title),
release_type=release_type,
release_stage=release_stage,
release_date=release_date,
release_year=release_year,
withdrawn_status=withdrawn_status,
ext_ids=fatcat_client.ReleaseExtIds(
doi=doi,
pmid=pmid,
pmcid=pmcid,
#isbn13 # never in Article
),
volume=volume,
issue=issue,
pages=pages,
#publisher # not included?
language=language,
#license_slug # not in MEDLINE
abstracts=abstracts,
contribs=contribs,
refs=refs,
container_id=container_id,
extra=extra,
)
return re
def try_update(self, re):
# first, lookup existing by PMID (which must be defined)
existing = None
try:
existing = self.api.lookup_release(pmid=re.ext_ids.pmid)
except fatcat_client.rest.ApiException as err:
if err.status != 404:
raise err
# then try DOI lookup if there is one
if not existing and re.ext_ids.doi:
try:
existing = self.api.lookup_release(doi=re.ext_ids.doi)
except fatcat_client.rest.ApiException as err:
if err.status != 404:
raise err
if existing and existing.ext_ids.pmid and existing.ext_ids.pmid != re.ext_ids.pmid:
warnings.warn("PMID/DOI mismatch: release {}, pmid {} != {}".format(
existing.ident, existing.ext_ids.pmid, re.ext_ids.pmid))
self.counts['exists-pmid-doi-mismatch'] += 1
return False
if existing and existing.ext_ids.pmid and (existing.refs or not re.refs):
# TODO: any other reasons to do an update?
# don't update if it already has PMID
self.counts['exists'] += 1
return False
elif existing:
# but do update if only DOI was set
existing.ext_ids.doi = existing.ext_ids.doi or re.ext_ids.doi
existing.ext_ids.pmid = existing.ext_ids.pmid or re.ext_ids.pmid
existing.ext_ids.pmcid = existing.ext_ids.pmcid or re.ext_ids.pmcid
existing.refs = existing.refs or re.refs
existing.extra['pubmed'] = re.extra['pubmed']
self.api.update_release(self.get_editgroup_id(), existing.ident, existing)
self.counts['update'] += 1
return False
return True
def insert_batch(self, batch):
self.api.create_release_auto_batch(fatcat_client.ReleaseAutoBatch(
editgroup=fatcat_client.Editgroup(
description=self.editgroup_description,
extra=self.editgroup_extra),
entity_list=batch))
def parse_file(self, handle):
# 1. open with beautiful soup
soup = BeautifulSoup(handle, "xml")
# 2. iterate over articles, call parse_article on each
for article in soup.find_all("PubmedArticle"):
resp = self.parse_record(article)
print(json.dumps(resp))
#sys.exit(-1)
if __name__=='__main__':
parser = PubmedImporter(None, None)
parser.parse_file(open(sys.argv[1]))
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