def _get_abstracts(data: dict) -> List[models.Abstract]:
"""Recupera todos os abstracts do artigo"""
abstracts = [
models.Abstract(
**{
"text": _nestget(data, "article_meta", 0, "abstract", 0),
"language": _get_original_language(data),
})
]
for trans_abstract in data.get("trans_abstract", []):
abstracts.append(
models.Abstract(
**{
"text": _nestget(trans_abstract, "text", 0),
"language": _nestget(trans_abstract, "lang", 0),
}))
for sub_article in _nestget(data, "sub_article"):
abstracts.append(
models.Abstract(
**{
"text":
_nestget(sub_article, "article_meta", 0, "abstract",
0),
"language":
_nestget(sub_article, "article", 0, "lang", 0),
}))
return abstracts
def _get_abstracts(data: dict) -> List[models.Abstract]:
"""Recupera todos os abstracts do artigo"""
abstracts = []
# Abstract do texto original
if len(_nestget(data, "article_meta", 0, "abstract", 0)) > 0:
abstracts.append(
models.Abstract(
**{
"text": _nestget(data, "article_meta", 0, "abstract",
0),
"language": _get_original_language(data),
}))
# Trans abstracts
abstracts += [
models.Abstract(
**{
"text": _nestget(trans_abstract, "text", 0),
"language": _nestget(trans_abstract, "lang", 0),
}) for trans_abstract in data.get("trans_abstract", [])
if trans_abstract and _nestget(trans_abstract, "text", 0)
]
# Abstracts de sub-article
abstracts += [
models.Abstract(
**{
"text": _nestget(sub_article, "article_meta", 0,
"abstract", 0),
"language": _nestget(sub_article, "article", 0, "lang", 0),
}) for sub_article in _nestget(data, "sub_article")
if len(_nestget(sub_article, "article_meta", 0, "abstract", 0)) > 0
]
return abstracts
def register_document(data, issue_id, document_id, i_documents):
"""
Esta função pode lançar a exceção `models.Issue.DoesNotExist`.
"""
def nestget(data, *path, default=""):
"""
Obtém valores de list ou dicionários.
"""
for key_or_index in path:
try:
data = data[key_or_index]
except (KeyError, IndexError):
return default
return data
article = nestget(data, "article", 0)
article_meta = nestget(data, "article_meta", 0)
pub_date = nestget(data, "pub_date", 0)
sub_articles = nestget(data, "sub_article")
contribs = nestget(data, "contrib")
document = models.Article()
document.title = nestget(article_meta, "article_title", 0)
document.section = nestget(article_meta, "pub_subject", 0)
authors = []
valid_contrib_types = [
"author",
"editor",
"organizer",
"translator",
"autor",
"compiler",
]
for contrib in contribs:
if nestget(contrib, "contrib_type", 0) in valid_contrib_types:
authors.append("%s, %s" % (
nestget(contrib, "contrib_surname", 0),
nestget(contrib, "contrib_given_names", 0),
))
document.authors = authors
document.abstract = nestget(article_meta, "abstract", 0)
publisher_id = nestget(article_meta, "article_publisher_id", 0)
document._id = publisher_id
document.aid = publisher_id
document.pid = nestget(article_meta, "article_publisher_id", 1)
document.doi = nestget(article_meta, "article_doi", 0)
original_lang = nestget(article, "lang", 0)
# article.languages contém todas as traduções do artigo e o idioma original
languages = [original_lang]
trans_titles = []
trans_sections = []
trans_abstracts = []
trans_sections.append(
models.TranslatedSection(
**{
"name": nestget(article_meta, "pub_subject", 0),
"language": original_lang,
}))
trans_abstracts.append(
models.Abstract(**{
"text": document.abstract,
"language": original_lang
}))
if data.get("trans_abstract"):
for trans_abs in data.get("trans_abstract"):
trans_abstracts.append(
models.Abstract(
**{
"text": nestget(trans_abs, "text", 0),
"language": nestget(trans_abs, "lang", 0),
}))
keywords = []
for sub in sub_articles:
lang = nestget(sub, "article", 0, "lang", 0)
languages.append(lang)
trans_titles.append(
models.TranslatedTitle(
**{
"name": nestget(sub, "article_meta", 0, "article_title",
0),
"language": lang,
}))
trans_sections.append(
models.TranslatedSection(
**{
"name": nestget(sub, "article_meta", 0, "pub_subject", 0),
"language": lang,
}))
trans_abstracts.append(
models.Abstract(
**{
"text": nestget(sub, "article_meta", 0, "abstract_p", 0),
"language": lang,
}))
if data.get("kwd_group"):
for kwd_group in nestget(data, "kwd_group"):
keywords.append(
models.ArticleKeyword(
**{
"keywords": nestget(kwd_group, "kwd", default=[]),
"language": nestget(kwd_group, "lang", 0),
}))
document.languages = languages
document.translated_titles = trans_titles
document.sections = trans_sections
document.abstracts = trans_abstracts
document.keywords = keywords
document.abstract_languages = [
trans_abs["language"] for trans_abs in trans_abstracts
]
document.original_language = original_lang
document.publication_date = nestget(pub_date, "text", 0)
document.type = nestget(article, "type", 0)
document.elocation = nestget(article_meta, "pub_elocation", 0)
document.fpage = nestget(article_meta, "pub_fpage", 0)
document.fpage_sequence = nestget(article_meta, "pub_fpage_seq", 0)
document.lpage = nestget(article_meta, "pub_lpage", 0)
issue = models.Issue.objects.get(_id=issue_id)
document.issue = issue
document.journal = issue.journal
document.order = i_documents.get(issue.id).index(document_id)
document.xml = "%s/documents/%s" % (api_hook.base_url, document._id)
document.save()
return document
