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def changelog(self, api_version, doc):
"""Add a changelog entry for this api."""
doc = textwrap.dedent(doc).strip()
self._changelog[api_version] = doc
self._changelog_locations[api_version] = get_callsite_location() | Add a changelog entry for this api. | entailment |
def title_prefix(soup):
"titlePrefix for article JSON is only articles with certain display_channel values"
prefix = None
display_channel_match_list = ['feature article', 'insight', 'editorial']
for d_channel in display_channel(soup):
if d_channel.lower() in display_channel_match_list:
if raw_parser.sub_display_channel(soup):
prefix = node_text(first(raw_parser.sub_display_channel(soup)))
return prefix | titlePrefix for article JSON is only articles with certain display_channel values | entailment |
def title_prefix_json(soup):
"titlePrefix with capitalisation changed"
prefix = title_prefix(soup)
prefix_rewritten = elifetools.json_rewrite.rewrite_json("title_prefix_json", soup, prefix)
return prefix_rewritten | titlePrefix with capitalisation changed | entailment |
def research_organism(soup):
"Find the research-organism from the set of kwd-group tags"
if not raw_parser.research_organism_keywords(soup):
return []
return list(map(node_text, raw_parser.research_organism_keywords(soup))) | Find the research-organism from the set of kwd-group tags | entailment |
def full_research_organism(soup):
"research-organism list including inline tags, such as italic"
if not raw_parser.research_organism_keywords(soup):
return []
return list(map(node_contents_str, raw_parser.research_organism_keywords(soup))) | research-organism list including inline tags, such as italic | entailment |
def keywords(soup):
"""
Find the keywords from the set of kwd-group tags
which are typically labelled as the author keywords
"""
if not raw_parser.author_keywords(soup):
return []
return list(map(node_text, raw_parser.author_keywords(soup))) | Find the keywords from the set of kwd-group tags
which are typically labelled as the author keywords | entailment |
def full_keywords(soup):
"author keywords list including inline tags, such as italic"
if not raw_parser.author_keywords(soup):
return []
return list(map(node_contents_str, raw_parser.author_keywords(soup))) | author keywords list including inline tags, such as italic | entailment |
def version_history(soup, html_flag=True):
"extract the article version history details"
convert = lambda xml_string: xml_to_html(html_flag, xml_string)
version_history = []
related_object_tags = raw_parser.related_object(raw_parser.article_meta(soup))
for tag in related_object_tags:
article_version = OrderedDict()
date_tag = first(raw_parser.date(tag))
if date_tag:
copy_attribute(date_tag.attrs, 'date-type', article_version, 'version')
(day, month, year) = ymd(date_tag)
article_version['day'] = day
article_version['month'] = month
article_version['year'] = year
article_version['date'] = date_struct_nn(year, month, day)
copy_attribute(tag.attrs, 'xlink:href', article_version, 'xlink_href')
set_if_value(article_version, "comment",
convert(node_contents_str(first(raw_parser.comment(tag)))))
version_history.append(article_version)
return version_history | extract the article version history details | entailment |
def article_id_list(soup):
"""return a list of article-id data"""
id_list = []
for article_id_tag in raw_parser.article_id(soup):
id_details = OrderedDict()
set_if_value(id_details, "type", article_id_tag.get("pub-id-type"))
set_if_value(id_details, "value", article_id_tag.text)
set_if_value(id_details, "assigning-authority", article_id_tag.get("assigning-authority"))
id_list.append(id_details)
return id_list | return a list of article-id data | entailment |
def copyright_holder_json(soup):
"for json output add a full stop if ends in et al"
holder = None
permissions_tag = raw_parser.article_permissions(soup)
if permissions_tag:
holder = node_text(raw_parser.copyright_holder(permissions_tag))
if holder is not None and holder.endswith('et al'):
holder = holder + '.'
return holder | for json output add a full stop if ends in et al | entailment |
def subject_area(soup):
"""
Find the subject areas from article-categories subject tags
"""
subject_area = []
tags = raw_parser.subject_area(soup)
for tag in tags:
subject_area.append(node_text(tag))
return subject_area | Find the subject areas from article-categories subject tags | entailment |
def display_channel(soup):
"""
Find the subject areas of type display-channel
"""
display_channel = []
tags = raw_parser.display_channel(soup)
for tag in tags:
display_channel.append(node_text(tag))
return display_channel | Find the subject areas of type display-channel | entailment |
def category(soup):
"""
Find the category from subject areas
"""
category = []
tags = raw_parser.category(soup)
for tag in tags:
category.append(node_text(tag))
return category | Find the category from subject areas | entailment |
def ymd(soup):
"""
Get the year, month and day from child tags
"""
day = node_text(raw_parser.day(soup))
month = node_text(raw_parser.month(soup))
year = node_text(raw_parser.year(soup))
return (day, month, year) | Get the year, month and day from child tags | entailment |
def pub_date(soup):
"""
Return the publishing date in struct format
pub_date_date, pub_date_day, pub_date_month, pub_date_year, pub_date_timestamp
Default date_type is pub
"""
pub_date = first(raw_parser.pub_date(soup, date_type="pub"))
if pub_date is None:
pub_date = first(raw_parser.pub_date(soup, date_type="publication"))
if pub_date is None:
return None
(day, month, year) = ymd(pub_date)
return date_struct(year, month, day) | Return the publishing date in struct format
pub_date_date, pub_date_day, pub_date_month, pub_date_year, pub_date_timestamp
Default date_type is pub | entailment |
def pub_dates(soup):
"""
return a list of all the pub dates
"""
pub_dates = []
tags = raw_parser.pub_date(soup)
for tag in tags:
pub_date = OrderedDict()
copy_attribute(tag.attrs, 'publication-format', pub_date)
copy_attribute(tag.attrs, 'date-type', pub_date)
copy_attribute(tag.attrs, 'pub-type', pub_date)
for tag_attr in ["date-type", "pub-type"]:
if tag_attr in tag.attrs:
(day, month, year) = ymd(tag)
pub_date['day'] = day
pub_date['month'] = month
pub_date['year'] = year
pub_date['date'] = date_struct_nn(year, month, day)
pub_dates.append(pub_date)
return pub_dates | return a list of all the pub dates | entailment |
def history_date(soup, date_type = None):
"""
Find a date in the history tag for the specific date_type
typical date_type values: received, accepted
"""
if(date_type == None):
return None
history_date = raw_parser.history_date(soup, date_type)
if history_date is None:
return None
(day, month, year) = ymd(history_date)
return date_struct(year, month, day) | Find a date in the history tag for the specific date_type
typical date_type values: received, accepted | entailment |
def collection_year(soup):
"""
Pub date of type collection will hold a year element for VOR articles
"""
pub_date = first(raw_parser.pub_date(soup, pub_type="collection"))
if not pub_date:
pub_date = first(raw_parser.pub_date(soup, date_type="collection"))
if not pub_date:
return None
year = None
year_tag = raw_parser.year(pub_date)
if year_tag:
year = int(node_text(year_tag))
return year | Pub date of type collection will hold a year element for VOR articles | entailment |
def abstracts(soup):
"""
Find the article abstract and format it
"""
abstracts = []
abstract_tags = raw_parser.abstract(soup)
for tag in abstract_tags:
abstract = {}
abstract["abstract_type"] = tag.get("abstract-type")
title_tag = raw_parser.title(tag)
if title_tag:
abstract["title"] = node_text(title_tag)
abstract["content"] = None
if raw_parser.paragraph(tag):
abstract["content"] = ""
abstract["full_content"] = ""
good_paragraphs = remove_doi_paragraph(raw_parser.paragraph(tag))
# Plain text content
glue = ""
for p_tag in good_paragraphs:
abstract["content"] += glue + node_text(p_tag)
glue = " "
# Content including markup tags
# When more than one paragraph, wrap each in a <p> tag
for p_tag in good_paragraphs:
abstract["full_content"] += '<p>' + node_contents_str(p_tag) + '</p>'
abstracts.append(abstract)
return abstracts | Find the article abstract and format it | entailment |
def component_doi(soup):
"""
Look for all object-id of pub-type-id = doi, these are the component DOI tags
"""
component_doi = []
object_id_tags = raw_parser.object_id(soup, pub_id_type = "doi")
# Get components too for later
component_list = components(soup)
position = 1
for tag in object_id_tags:
component_object = {}
component_object["doi"] = doi_uri_to_doi(tag.text)
component_object["position"] = position
# Try to find the type of component
for component in component_list:
if "doi" in component and component["doi"] == component_object["doi"]:
component_object["type"] = component["type"]
component_doi.append(component_object)
position = position + 1
return component_doi | Look for all object-id of pub-type-id = doi, these are the component DOI tags | entailment |
def tag_details(tag, nodenames):
"""
Used in media and graphics to extract data from their parent tags
"""
details = {}
details['type'] = tag.name
details['ordinal'] = tag_ordinal(tag)
# Ordinal value
if tag_details_sibling_ordinal(tag):
details['sibling_ordinal'] = tag_details_sibling_ordinal(tag)
# Asset name
if tag_details_asset(tag):
details['asset'] = tag_details_asset(tag)
object_id_tag = first(raw_parser.object_id(tag, pub_id_type= "doi"))
if object_id_tag:
details['component_doi'] = extract_component_doi(tag, nodenames)
return details | Used in media and graphics to extract data from their parent tags | entailment |
def media(soup):
"""
All media tags and some associated data about the related component doi
and the parent of that doi (not always present)
"""
media = []
media_tags = raw_parser.media(soup)
position = 1
for tag in media_tags:
media_item = {}
copy_attribute(tag.attrs, 'mime-subtype', media_item)
copy_attribute(tag.attrs, 'mimetype', media_item)
copy_attribute(tag.attrs, 'xlink:href', media_item, 'xlink_href')
copy_attribute(tag.attrs, 'content-type', media_item)
nodenames = ["sub-article", "media", "fig-group", "fig", "supplementary-material"]
details = tag_details(tag, nodenames)
copy_attribute(details, 'component_doi', media_item)
copy_attribute(details, 'type', media_item)
copy_attribute(details, 'sibling_ordinal', media_item)
# Try to get the component DOI of the parent tag
parent_tag = first_parent(tag, nodenames)
if parent_tag:
acting_parent_tag = component_acting_parent_tag(parent_tag, tag)
if acting_parent_tag:
details = tag_details(acting_parent_tag, nodenames)
copy_attribute(details, 'type', media_item, 'parent_type')
copy_attribute(details, 'ordinal', media_item, 'parent_ordinal')
copy_attribute(details, 'asset', media_item, 'parent_asset')
copy_attribute(details, 'sibling_ordinal', media_item, 'parent_sibling_ordinal')
copy_attribute(details, 'component_doi', media_item, 'parent_component_doi')
# Try to get the parent parent
p_parent_tag = first_parent(parent_tag, nodenames)
if p_parent_tag:
acting_p_parent_tag = component_acting_parent_tag(p_parent_tag, parent_tag)
if acting_p_parent_tag:
details = tag_details(acting_p_parent_tag, nodenames)
copy_attribute(details, 'type', media_item, 'p_parent_type')
copy_attribute(details, 'ordinal', media_item, 'p_parent_ordinal')
copy_attribute(details, 'asset', media_item, 'p_parent_asset')
copy_attribute(details, 'sibling_ordinal', media_item, 'p_parent_sibling_ordinal')
copy_attribute(details, 'component_doi', media_item, 'p_parent_component_doi')
# Try to get the parent parent parent
p_p_parent_tag = first_parent(p_parent_tag, nodenames)
if p_p_parent_tag:
acting_p_p_parent_tag = component_acting_parent_tag(p_p_parent_tag, p_parent_tag)
if acting_p_p_parent_tag:
details = tag_details(acting_p_p_parent_tag, nodenames)
copy_attribute(details, 'type', media_item, 'p_p_parent_type')
copy_attribute(details, 'ordinal', media_item, 'p_p_parent_ordinal')
copy_attribute(details, 'asset', media_item, 'p_p_parent_asset')
copy_attribute(details, 'sibling_ordinal', media_item, 'p_p_parent_sibling_ordinal')
copy_attribute(details, 'component_doi', media_item, 'p_p_parent_component_doi')
# Increment the position
media_item['position'] = position
# Ordinal should be the same as position in this case but set it anyway
media_item['ordinal'] = tag_ordinal(tag)
media.append(media_item)
position += 1
return media | All media tags and some associated data about the related component doi
and the parent of that doi (not always present) | entailment |
def graphics(soup):
"""
All graphic tags and some associated data about the related component doi
and the parent of that doi (not always present), and whether it is
part of a figure supplement
"""
graphics = []
graphic_tags = raw_parser.graphic(soup)
position = 1
for tag in graphic_tags:
graphic_item = {}
copy_attribute(tag.attrs, 'xlink:href', graphic_item, 'xlink_href')
# Get the tag type
nodenames = ["sub-article", "fig-group", "fig", "app"]
details = tag_details(tag, nodenames)
copy_attribute(details, 'type', graphic_item)
parent_tag = first_parent(tag, nodenames)
if parent_tag:
details = tag_details(parent_tag, nodenames)
copy_attribute(details, 'type', graphic_item, 'parent_type')
copy_attribute(details, 'ordinal', graphic_item, 'parent_ordinal')
copy_attribute(details, 'asset', graphic_item, 'parent_asset')
copy_attribute(details, 'sibling_ordinal', graphic_item, 'parent_sibling_ordinal')
copy_attribute(details, 'component_doi', graphic_item, 'parent_component_doi')
# Try to get the parent parent - special for looking at fig tags
# use component_acting_parent_tag
p_parent_tag = first_parent(parent_tag, nodenames)
if p_parent_tag:
acting_p_parent_tag = component_acting_parent_tag(p_parent_tag, parent_tag)
if acting_p_parent_tag:
details = tag_details(acting_p_parent_tag, nodenames)
copy_attribute(details, 'type', graphic_item, 'p_parent_type')
copy_attribute(details, 'ordinal', graphic_item, 'p_parent_ordinal')
copy_attribute(details, 'asset', graphic_item, 'p_parent_asset')
copy_attribute(details, 'sibling_ordinal', graphic_item, 'p_parent_sibling_ordinal')
copy_attribute(details, 'component_doi', graphic_item, 'p_parent_component_doi')
# Increment the position
graphic_item['position'] = position
# Ordinal should be the same as position in this case but set it anyway
graphic_item['ordinal'] = tag_ordinal(tag)
graphics.append(graphic_item)
position += 1
return graphics | All graphic tags and some associated data about the related component doi
and the parent of that doi (not always present), and whether it is
part of a figure supplement | entailment |
def inline_graphics(soup):
"""
inline-graphic tags
"""
inline_graphics = []
inline_graphic_tags = raw_parser.inline_graphic(soup)
position = 1
for tag in inline_graphic_tags:
item = {}
copy_attribute(tag.attrs, 'xlink:href', item, 'xlink_href')
# Get the tag type
nodenames = ["sub-article"]
details = tag_details(tag, nodenames)
copy_attribute(details, 'type', item)
# Increment the position
item['position'] = position
# Ordinal should be the same as position in this case but set it anyway
item['ordinal'] = tag_ordinal(tag)
inline_graphics.append(item)
return inline_graphics | inline-graphic tags | entailment |
def self_uri(soup):
"""
self-uri tags
"""
self_uri = []
self_uri_tags = raw_parser.self_uri(soup)
position = 1
for tag in self_uri_tags:
item = {}
copy_attribute(tag.attrs, 'xlink:href', item, 'xlink_href')
copy_attribute(tag.attrs, 'content-type', item)
# Get the tag type
nodenames = ["sub-article"]
details = tag_details(tag, nodenames)
copy_attribute(details, 'type', item)
# Increment the position
item['position'] = position
# Ordinal should be the same as position in this case but set it anyway
item['ordinal'] = tag_ordinal(tag)
self_uri.append(item)
return self_uri | self-uri tags | entailment |
def supplementary_material(soup):
"""
supplementary-material tags
"""
supplementary_material = []
supplementary_material_tags = raw_parser.supplementary_material(soup)
position = 1
for tag in supplementary_material_tags:
item = {}
copy_attribute(tag.attrs, 'id', item)
# Get the tag type
nodenames = ["supplementary-material"]
details = tag_details(tag, nodenames)
copy_attribute(details, 'type', item)
copy_attribute(details, 'asset', item)
copy_attribute(details, 'component_doi', item)
copy_attribute(details, 'sibling_ordinal', item)
if raw_parser.label(tag):
item['label'] = node_text(raw_parser.label(tag))
item['full_label'] = node_contents_str(raw_parser.label(tag))
# Increment the position
item['position'] = position
# Ordinal should be the same as position in this case but set it anyway
item['ordinal'] = tag_ordinal(tag)
supplementary_material.append(item)
return supplementary_material | supplementary-material tags | entailment |
def contrib_email(contrib_tag):
"""
Given a contrib tag, look for an email tag, and
only return the value if it is not inside an aff tag
"""
email = []
for email_tag in extract_nodes(contrib_tag, "email"):
if email_tag.parent.name != "aff":
email.append(email_tag.text)
return email if len(email) > 0 else None | Given a contrib tag, look for an email tag, and
only return the value if it is not inside an aff tag | entailment |
def contrib_phone(contrib_tag):
"""
Given a contrib tag, look for an phone tag
"""
phone = None
if raw_parser.phone(contrib_tag):
phone = first(raw_parser.phone(contrib_tag)).text
return phone | Given a contrib tag, look for an phone tag | entailment |
def contrib_inline_aff(contrib_tag):
"""
Given a contrib tag, look for an aff tag directly inside it
"""
aff_tags = []
for child_tag in contrib_tag:
if child_tag and child_tag.name and child_tag.name == "aff":
aff_tags.append(child_tag)
return aff_tags | Given a contrib tag, look for an aff tag directly inside it | entailment |
def contrib_xref(contrib_tag, ref_type):
"""
Given a contrib tag, look for an xref tag of type ref_type directly inside the contrib tag
"""
aff_tags = []
for child_tag in contrib_tag:
if (child_tag and child_tag.name and child_tag.name == "xref"
and child_tag.get('ref-type') and child_tag.get('ref-type') == ref_type):
aff_tags.append(child_tag)
return aff_tags | Given a contrib tag, look for an xref tag of type ref_type directly inside the contrib tag | entailment |
def all_contributors(soup, detail="brief"):
"find all contributors not contrained to only the ones in article meta"
contrib_tags = raw_parser.contributors(soup)
contributors = format_authors(soup, contrib_tags, detail)
return contributors | find all contributors not contrained to only the ones in article meta | entailment |
def authors_non_byline(soup, detail="full"):
"""Non-byline authors for group author members"""
# Get a filtered list of contributors, in order to get their group-author-id
contrib_type = "author non-byline"
contributors_ = contributors(soup, detail)
non_byline_authors = [author for author in contributors_ if author.get('type', None) == contrib_type]
# Then renumber their position attribute
position = 1
for author in non_byline_authors:
author["position"] = position
position = position + 1
return non_byline_authors | Non-byline authors for group author members | entailment |
def refs(soup):
"""Find and return all the references"""
tags = raw_parser.ref_list(soup)
refs = []
position = 1
article_doi = doi(soup)
for tag in tags:
ref = {}
ref['ref'] = ref_text(tag)
# ref_id
copy_attribute(tag.attrs, "id", ref)
# article_title
if raw_parser.article_title(tag):
ref['article_title'] = node_text(raw_parser.article_title(tag))
ref['full_article_title'] = node_contents_str(raw_parser.article_title(tag))
if raw_parser.pub_id(tag, "pmid"):
ref['pmid'] = node_contents_str(first(raw_parser.pub_id(tag, "pmid")))
if raw_parser.pub_id(tag, "isbn"):
ref['isbn'] = node_contents_str(first(raw_parser.pub_id(tag, "isbn")))
if raw_parser.pub_id(tag, "doi"):
ref['reference_id'] = node_contents_str(first(raw_parser.pub_id(tag, "doi")))
ref['doi'] = doi_uri_to_doi(node_contents_str(first(raw_parser.pub_id(tag, "doi"))))
uri_tag = None
if raw_parser.ext_link(tag, "uri"):
uri_tag = first(raw_parser.ext_link(tag, "uri"))
elif raw_parser.uri(tag):
uri_tag = first(raw_parser.uri(tag))
if uri_tag:
set_if_value(ref, "uri", uri_tag.get('xlink:href'))
set_if_value(ref, "uri_text", node_contents_str(uri_tag))
# look for a pub-id tag if no uri yet
if not ref.get('uri') and raw_parser.pub_id(tag, "archive"):
pub_id_tag = first(raw_parser.pub_id(tag, pub_id_type="archive"))
set_if_value(ref, "uri", pub_id_tag.get('xlink:href'))
# accession, could be in either of two tags
set_if_value(ref, "accession", node_contents_str(first(raw_parser.object_id(tag, "art-access-id"))))
if not ref.get('accession'):
set_if_value(ref, "accession", node_contents_str(first(raw_parser.pub_id(tag, pub_id_type="accession"))))
if not ref.get('accession'):
set_if_value(ref, "accession", node_contents_str(first(raw_parser.pub_id(tag, pub_id_type="archive"))))
if(raw_parser.year(tag)):
set_if_value(ref, "year", node_text(raw_parser.year(tag)))
set_if_value(ref, "year-iso-8601-date", raw_parser.year(tag).get('iso-8601-date'))
if(raw_parser.date_in_citation(tag)):
set_if_value(ref, "date-in-citation", node_text(first(raw_parser.date_in_citation(tag))))
set_if_value(ref, "iso-8601-date", first(raw_parser.date_in_citation(tag)).get('iso-8601-date'))
if(raw_parser.patent(tag)):
set_if_value(ref, "patent", node_text(first(raw_parser.patent(tag))))
set_if_value(ref, "country", first(raw_parser.patent(tag)).get('country'))
set_if_value(ref, "source", node_text(first(raw_parser.source(tag))))
set_if_value(ref, "elocation-id", node_text(first(raw_parser.elocation_id(tag))))
if raw_parser.element_citation(tag):
copy_attribute(first(raw_parser.element_citation(tag)).attrs, "publication-type", ref)
if "publication-type" not in ref and raw_parser.mixed_citations(tag):
copy_attribute(first(raw_parser.mixed_citations(tag)).attrs, "publication-type", ref)
# authors
person_group = raw_parser.person_group(tag)
authors = []
for group in person_group:
author_type = None
if "person-group-type" in group.attrs:
author_type = group["person-group-type"]
# Read name or collab tag in the order they are listed
for name_or_collab_tag in extract_nodes(group, ["name", "string-name", "collab"]):
author = {}
# Shared tag attribute
set_if_value(author, "group-type", author_type)
# name tag attributes
if name_or_collab_tag.name in ["name", "string-name"]:
set_if_value(author, "surname", node_text(first(raw_parser.surname(name_or_collab_tag))))
set_if_value(author, "given-names", node_text(first(raw_parser.given_names(name_or_collab_tag))))
set_if_value(author, "suffix", node_text(first(raw_parser.suffix(name_or_collab_tag))))
# collab tag attribute
if name_or_collab_tag.name == "collab":
set_if_value(author, "collab", node_contents_str(name_or_collab_tag))
if len(author) > 0:
authors.append(author)
# etal for the person group
if first(raw_parser.etal(group)):
author = {}
author['etal'] = True
set_if_value(author, "group-type", author_type)
authors.append(author)
# Check for collab tag not wrapped in a person-group for backwards compatibility
if len(person_group) == 0:
collab_tags = raw_parser.collab(tag)
for collab_tag in collab_tags:
author = {}
set_if_value(author, "group-type", "author")
set_if_value(author, "collab", node_contents_str(collab_tag))
if len(author) > 0:
authors.append(author)
if len(authors) > 0:
ref['authors'] = authors
set_if_value(ref, "volume", node_text(first(raw_parser.volume(tag))))
set_if_value(ref, "issue", node_text(first(raw_parser.issue(tag))))
set_if_value(ref, "fpage", node_text(first(raw_parser.fpage(tag))))
set_if_value(ref, "lpage", node_text(first(raw_parser.lpage(tag))))
set_if_value(ref, "collab", node_text(first(raw_parser.collab(tag))))
set_if_value(ref, "publisher_loc", node_text(first(raw_parser.publisher_loc(tag))))
set_if_value(ref, "publisher_name", node_text(first(raw_parser.publisher_name(tag))))
set_if_value(ref, "edition", node_contents_str(first(raw_parser.edition(tag))))
set_if_value(ref, "version", node_contents_str(first(raw_parser.version(tag))))
set_if_value(ref, "chapter-title", node_contents_str(first(raw_parser.chapter_title(tag))))
set_if_value(ref, "comment", node_text(first(raw_parser.comment(tag))))
set_if_value(ref, "data-title", node_contents_str(first(raw_parser.data_title(tag))))
set_if_value(ref, "conf-name", node_text(first(raw_parser.conf_name(tag))))
# If not empty, add position value, append, then increment the position counter
if(len(ref) > 0):
ref['article_doi'] = article_doi
ref['position'] = position
refs.append(ref)
position += 1
return refs | Find and return all the references | entailment |
def extract_component_doi(tag, nodenames):
"""
Used to get component DOI from a tag and confirm it is actually for that tag
and it is not for one of its children in the list of nodenames
"""
component_doi = None
if(tag.name == "sub-article"):
component_doi = doi_uri_to_doi(node_text(first(raw_parser.article_id(tag, pub_id_type= "doi"))))
else:
object_id_tag = first(raw_parser.object_id(tag, pub_id_type= "doi"))
# Tweak: if it is media and has no object_id_tag then it is not a "component"
if tag.name == "media" and not object_id_tag:
component_doi = None
else:
# Check the object id is for this tag and not one of its children
# This happens for example when boxed text has a child figure,
# the boxed text does not have a DOI, the figure does have one
if object_id_tag and first_parent(object_id_tag, nodenames).name == tag.name:
component_doi = doi_uri_to_doi(node_text(object_id_tag))
return component_doi | Used to get component DOI from a tag and confirm it is actually for that tag
and it is not for one of its children in the list of nodenames | entailment |
def components(soup):
"""
Find the components, i.e. those parts that would be assigned
a unique component DOI, such as figures, tables, etc.
- position is in what order the tag appears in the entire set of nodes
- ordinal is in what order it is for all the tags of its own type
"""
components = []
nodenames = ["abstract", "fig", "table-wrap", "media",
"chem-struct-wrap", "sub-article", "supplementary-material",
"boxed-text", "app"]
# Count node order overall
position = 1
position_by_type = {}
for nodename in nodenames:
position_by_type[nodename] = 1
article_doi = doi(soup)
# Find all tags for all component_types, allows the order
# in which they are found to be preserved
component_tags = extract_nodes(soup, nodenames)
for tag in component_tags:
component = OrderedDict()
# Component type is the tag's name
ctype = tag.name
# First find the doi if present
component_doi = extract_component_doi(tag, nodenames)
if component_doi is None:
continue
else:
component['doi'] = doi_uri_to_doi(component_doi)
component['doi_url'] = doi_to_doi_uri(component['doi'])
copy_attribute(tag.attrs, 'id', component)
if(ctype == "sub-article"):
title_tag = raw_parser.article_title(tag)
elif(ctype == "boxed-text"):
title_tag = title_tag_inspected(tag, tag.name, direct_sibling_only=True)
if not title_tag:
title_tag = title_tag_inspected(tag, "caption", "boxed-text")
# New kitchen sink has boxed-text inside app tags, tag the sec tag title if so
# but do not take it if there is a caption
if (not title_tag and tag.parent and tag.parent.name in ["sec", "app"]
and not caption_tag_inspected(tag, tag.name)):
title_tag = title_tag_inspected(tag.parent, tag.parent.name, direct_sibling_only=True)
else:
title_tag = raw_parser.title(tag)
if title_tag:
component['title'] = node_text(title_tag)
component['full_title'] = node_contents_str(title_tag)
if ctype == "boxed-text":
label_tag = label_tag_inspected(tag, "boxed-text")
else:
label_tag = raw_parser.label(tag)
if label_tag:
component['label'] = node_text(label_tag)
component['full_label'] = node_contents_str(label_tag)
if raw_parser.caption(tag):
first_paragraph = first(paragraphs(raw_parser.caption(tag)))
# fix a problem with the new kitchen sink of caption within caption tag
if first_paragraph:
nested_caption = raw_parser.caption(first_paragraph)
if nested_caption:
nested_paragraphs = paragraphs(nested_caption)
first_paragraph = first(nested_paragraphs) or first_paragraph
if first_paragraph and not starts_with_doi(first_paragraph):
# Remove the supplementary tag from the paragraph if present
if raw_parser.supplementary_material(first_paragraph):
first_paragraph = remove_tag_from_tag(first_paragraph, 'supplementary-material')
if node_text(first_paragraph).strip():
component['caption'] = node_text(first_paragraph)
component['full_caption'] = node_contents_str(first_paragraph)
if raw_parser.permissions(tag):
component['permissions'] = []
for permissions_tag in raw_parser.permissions(tag):
permissions_item = {}
if raw_parser.copyright_statement(permissions_tag):
permissions_item['copyright_statement'] = \
node_text(raw_parser.copyright_statement(permissions_tag))
if raw_parser.copyright_year(permissions_tag):
permissions_item['copyright_year'] = \
node_text(raw_parser.copyright_year(permissions_tag))
if raw_parser.copyright_holder(permissions_tag):
permissions_item['copyright_holder'] = \
node_text(raw_parser.copyright_holder(permissions_tag))
if raw_parser.licence_p(permissions_tag):
permissions_item['license'] = \
node_text(first(raw_parser.licence_p(permissions_tag)))
permissions_item['full_license'] = \
node_contents_str(first(raw_parser.licence_p(permissions_tag)))
component['permissions'].append(permissions_item)
if raw_parser.contributors(tag):
component['contributors'] = []
for contributor_tag in raw_parser.contributors(tag):
component['contributors'].append(format_contributor(contributor_tag, soup))
# There are only some parent tags we care about for components
# and only check two levels of parentage
parent_nodenames = ["sub-article", "fig-group", "fig", "boxed-text", "table-wrap", "app", "media"]
parent_tag = first_parent(tag, parent_nodenames)
if parent_tag:
# For fig-group we actually want the first fig of the fig-group as the parent
acting_parent_tag = component_acting_parent_tag(parent_tag, tag)
# Only counts if the acting parent tag has a DOI
if (acting_parent_tag and \
extract_component_doi(acting_parent_tag, parent_nodenames) is not None):
component['parent_type'] = acting_parent_tag.name
component['parent_ordinal'] = tag_ordinal(acting_parent_tag)
component['parent_sibling_ordinal'] = tag_details_sibling_ordinal(acting_parent_tag)
component['parent_asset'] = tag_details_asset(acting_parent_tag)
# Look for parent parent, if available
parent_parent_tag = first_parent(parent_tag, parent_nodenames)
if parent_parent_tag:
acting_parent_tag = component_acting_parent_tag(parent_parent_tag, parent_tag)
if (acting_parent_tag and \
extract_component_doi(acting_parent_tag, parent_nodenames) is not None):
component['parent_parent_type'] = acting_parent_tag.name
component['parent_parent_ordinal'] = tag_ordinal(acting_parent_tag)
component['parent_parent_sibling_ordinal'] = tag_details_sibling_ordinal(acting_parent_tag)
component['parent_parent_asset'] = tag_details_asset(acting_parent_tag)
content = ""
for p_tag in extract_nodes(tag, "p"):
if content != "":
# Add a space before each new paragraph for now
content = content + " "
content = content + node_text(p_tag)
if(content != ""):
component['content'] = content
# mime type
media_tag = None
if(ctype == "media"):
media_tag = tag
elif(ctype == "supplementary-material"):
media_tag = first(raw_parser.media(tag))
if media_tag:
component['mimetype'] = media_tag.get("mimetype")
component['mime-subtype'] = media_tag.get("mime-subtype")
if(len(component) > 0):
component['article_doi'] = article_doi
component['type'] = ctype
component['position'] = position
# Ordinal is based on all tags of the same type even if they have no DOI
component['ordinal'] = tag_ordinal(tag)
component['sibling_ordinal'] = tag_details_sibling_ordinal(tag)
component['asset'] = tag_details_asset(tag)
#component['ordinal'] = position_by_type[ctype]
components.append(component)
position += 1
position_by_type[ctype] += 1
return components | Find the components, i.e. those parts that would be assigned
a unique component DOI, such as figures, tables, etc.
- position is in what order the tag appears in the entire set of nodes
- ordinal is in what order it is for all the tags of its own type | entailment |
def correspondence(soup):
"""
Find the corresp tags included in author-notes
for primary correspondence
"""
correspondence = []
author_notes_nodes = raw_parser.author_notes(soup)
if author_notes_nodes:
corresp_nodes = raw_parser.corresp(author_notes_nodes)
for tag in corresp_nodes:
correspondence.append(tag.text)
return correspondence | Find the corresp tags included in author-notes
for primary correspondence | entailment |
def author_notes(soup):
"""
Find the fn tags included in author-notes
"""
author_notes = []
author_notes_section = raw_parser.author_notes(soup)
if author_notes_section:
fn_nodes = raw_parser.fn(author_notes_section)
for tag in fn_nodes:
if 'fn-type' in tag.attrs:
if(tag['fn-type'] != 'present-address'):
author_notes.append(node_text(tag))
return author_notes | Find the fn tags included in author-notes | entailment |
def full_author_notes(soup, fntype_filter=None):
"""
Find the fn tags included in author-notes
"""
notes = []
author_notes_section = raw_parser.author_notes(soup)
if author_notes_section:
fn_nodes = raw_parser.fn(author_notes_section)
notes = footnotes(fn_nodes, fntype_filter)
return notes | Find the fn tags included in author-notes | entailment |
def competing_interests(soup, fntype_filter):
"""
Find the fn tags included in the competing interest
"""
competing_interests_section = extract_nodes(soup, "fn-group", attr="content-type", value="competing-interest")
if not competing_interests_section:
return None
fn = extract_nodes(first(competing_interests_section), "fn")
interests = footnotes(fn, fntype_filter)
return interests | Find the fn tags included in the competing interest | entailment |
def author_contributions(soup, fntype_filter):
"""
Find the fn tags included in the competing interest
"""
author_contributions_section = extract_nodes(soup, "fn-group", attr="content-type", value="author-contribution")
if not author_contributions_section:
return None
fn = extract_nodes(first(author_contributions_section), "fn")
cons = footnotes(fn, fntype_filter)
return cons | Find the fn tags included in the competing interest | entailment |
def full_award_groups(soup):
"""
Find the award-group items and return a list of details
"""
award_groups = []
funding_group_section = extract_nodes(soup, "funding-group")
# counter for auto generated id values, if required
generated_id_counter = 1
for fg in funding_group_section:
award_group_tags = extract_nodes(fg, "award-group")
for ag in award_group_tags:
if 'id' in ag.attrs:
ref = ag['id']
else:
# hack: generate and increment an id value none is available
ref = "award-group-{id}".format(id=generated_id_counter)
generated_id_counter += 1
award_group = {}
award_group_id = award_group_award_id(ag)
if award_group_id is not None:
award_group['award-id'] = first(award_group_id)
funding_sources = full_award_group_funding_source(ag)
source = first(funding_sources)
if source is not None:
copy_attribute(source, 'institution', award_group)
copy_attribute(source, 'institution-id', award_group, 'id')
copy_attribute(source, 'institution-id-type', award_group, destination_key='id-type')
award_group_by_ref = {}
award_group_by_ref[ref] = award_group
award_groups.append(award_group_by_ref)
return award_groups | Find the award-group items and return a list of details | entailment |
def award_groups(soup):
"""
Find the award-group items and return a list of details
"""
award_groups = []
funding_group_section = extract_nodes(soup, "funding-group")
for fg in funding_group_section:
award_group_tags = extract_nodes(fg, "award-group")
for ag in award_group_tags:
award_group = {}
award_group['funding_source'] = award_group_funding_source(ag)
award_group['recipient'] = award_group_principal_award_recipient(ag)
award_group['award_id'] = award_group_award_id(ag)
award_groups.append(award_group)
return award_groups | Find the award-group items and return a list of details | entailment |
def award_group_funding_source(tag):
"""
Given a funding group element
Find the award group funding sources, one for each
item found in the get_funding_group section
"""
award_group_funding_source = []
funding_source_tags = extract_nodes(tag, "funding-source")
for t in funding_source_tags:
award_group_funding_source.append(t.text)
return award_group_funding_source | Given a funding group element
Find the award group funding sources, one for each
item found in the get_funding_group section | entailment |
def full_award_group_funding_source(tag):
"""
Given a funding group element
Find the award group funding sources, one for each
item found in the get_funding_group section
"""
award_group_funding_sources = []
funding_source_nodes = extract_nodes(tag, "funding-source")
for funding_source_node in funding_source_nodes:
award_group_funding_source = {}
institution_nodes = extract_nodes(funding_source_node, 'institution')
institution_node = first(institution_nodes)
if institution_node:
award_group_funding_source['institution'] = node_text(institution_node)
if 'content-type' in institution_node.attrs:
award_group_funding_source['institution-type'] = institution_node['content-type']
institution_id_nodes = extract_nodes(funding_source_node, 'institution-id')
institution_id_node = first(institution_id_nodes)
if institution_id_node:
award_group_funding_source['institution-id'] = node_text(institution_id_node)
if 'institution-id-type' in institution_id_node.attrs:
award_group_funding_source['institution-id-type'] = institution_id_node['institution-id-type']
award_group_funding_sources.append(award_group_funding_source)
return award_group_funding_sources | Given a funding group element
Find the award group funding sources, one for each
item found in the get_funding_group section | entailment |
def award_group_award_id(tag):
"""
Find the award group award id, one for each
item found in the get_funding_group section
"""
award_group_award_id = []
award_id_tags = extract_nodes(tag, "award-id")
for t in award_id_tags:
award_group_award_id.append(t.text)
return award_group_award_id | Find the award group award id, one for each
item found in the get_funding_group section | entailment |
def award_group_principal_award_recipient(tag):
"""
Find the award group principal award recipient, one for each
item found in the get_funding_group section
"""
award_group_principal_award_recipient = []
principal_award_recipients = extract_nodes(tag, "principal-award-recipient")
for t in principal_award_recipients:
principal_award_recipient_text = ""
institution = node_text(first(extract_nodes(t, "institution")))
surname = node_text(first(extract_nodes(t, "surname")))
given_names = node_text(first(extract_nodes(t, "given-names")))
string_name = node_text(first(raw_parser.string_name(t)))
# Concatenate name and institution values if found
# while filtering out excess whitespace
if(given_names):
principal_award_recipient_text += given_names
if(principal_award_recipient_text != ""):
principal_award_recipient_text += " "
if(surname):
principal_award_recipient_text += surname
if(institution):
principal_award_recipient_text += institution
if(string_name):
principal_award_recipient_text += string_name
award_group_principal_award_recipient.append(principal_award_recipient_text)
return award_group_principal_award_recipient | Find the award group principal award recipient, one for each
item found in the get_funding_group section | entailment |
def object_id_doi(tag, parent_tag_name=None):
"""DOI in an object-id tag found inside the tag"""
doi = None
object_id = None
object_ids = raw_parser.object_id(tag, "doi")
if object_ids:
object_id = first([id_ for id_ in object_ids])
if parent_tag_name and object_id and object_id.parent.name != parent_tag_name:
object_id = None
if object_id:
doi = node_contents_str(object_id)
return doi | DOI in an object-id tag found inside the tag | entailment |
def title_tag_inspected(tag, parent_tag_name=None, p_parent_tag_name=None, direct_sibling_only=False):
"""Extract the title tag and sometimes inspect its parents"""
title_tag = None
if direct_sibling_only is True:
for sibling_tag in tag:
if sibling_tag.name and sibling_tag.name == "title":
title_tag = sibling_tag
else:
title_tag = raw_parser.title(tag)
if parent_tag_name and p_parent_tag_name:
if (title_tag and title_tag.parent.name and title_tag.parent.parent.name
and title_tag.parent.name == parent_tag_name
and title_tag.parent.parent.name == p_parent_tag_name):
pass
else:
title_tag = None
return title_tag | Extract the title tag and sometimes inspect its parents | entailment |
def title_text(tag, parent_tag_name=None, p_parent_tag_name=None, direct_sibling_only=False):
"""Extract the text of a title tag and sometimes inspect its parents"""
title = None
title_tag = title_tag_inspected(tag, parent_tag_name, p_parent_tag_name, direct_sibling_only)
if title_tag:
title = node_contents_str(title_tag)
return title | Extract the text of a title tag and sometimes inspect its parents | entailment |
def boxed_text_to_image_block(tag):
"covert boxed-text to an image block containing an inline-graphic"
tag_block = OrderedDict()
image_content = body_block_image_content(first(raw_parser.inline_graphic(tag)))
tag_block["type"] = "image"
set_if_value(tag_block, "doi", doi_uri_to_doi(object_id_doi(tag, tag.name)))
set_if_value(tag_block, "id", tag.get("id"))
set_if_value(tag_block, "image", image_content)
# render paragraphs into a caption
p_tags = raw_parser.paragraph(tag)
caption_content = []
for p_tag in p_tags:
if not raw_parser.inline_graphic(p_tag):
caption_content.append(body_block_content(p_tag))
set_if_value(tag_block, "caption", caption_content)
return tag_block | covert boxed-text to an image block containing an inline-graphic | entailment |
def body_json(soup, base_url=None):
""" Get body json and then alter it with section wrapping and removing boxed-text """
body_content = body(soup, remove_key_info_box=True, base_url=base_url)
# Wrap in a section if the first block is not a section
if (body_content and len(body_content) > 0 and "type" in body_content[0]
and body_content[0]["type"] != "section"):
# Wrap this one
new_body_section = OrderedDict()
new_body_section["type"] = "section"
new_body_section["id"] = "s0"
new_body_section["title"] = "Main text"
new_body_section["content"] = []
for body_block in body_content:
new_body_section["content"].append(body_block)
new_body = []
new_body.append(new_body_section)
body_content = new_body
body_content_rewritten = elifetools.json_rewrite.rewrite_json("body_json", soup, body_content)
return body_content_rewritten | Get body json and then alter it with section wrapping and removing boxed-text | entailment |
def body_block_content_render(tag, recursive=False, base_url=None):
"""
Render the tag as body content and call recursively if
the tag has child tags
"""
block_content_list = []
tag_content = OrderedDict()
if tag.name == "p":
for block_content in body_block_paragraph_render(tag, base_url=base_url):
if block_content != {}:
block_content_list.append(block_content)
else:
tag_content = body_block_content(tag, base_url=base_url)
nodenames = body_block_nodenames()
tag_content_content = []
# Collect the content of the tag but only for some tags
if tag.name not in ["p", "fig", "table-wrap", "list", "media", "disp-quote", "code"]:
for child_tag in tag:
if not(hasattr(child_tag, 'name')):
continue
if child_tag.name == "p":
# Ignore paragraphs that start with DOI:
if node_text(child_tag) and len(remove_doi_paragraph([child_tag])) <= 0:
continue
for block_content in body_block_paragraph_render(child_tag, base_url=base_url):
if block_content != {}:
tag_content_content.append(block_content)
elif child_tag.name == "fig" and tag.name == "fig-group":
# Do not fig inside fig-group a second time
pass
elif child_tag.name == "media" and tag.name == "fig-group":
# Do not include a media video inside fig-group a second time
if child_tag.get("mimetype") == "video":
pass
else:
for block_content in body_block_content_render(child_tag, recursive=True, base_url=base_url):
if block_content != {}:
tag_content_content.append(block_content)
if len(tag_content_content) > 0:
if tag.name in nodenames or recursive is False:
tag_content["content"] = []
for block_content in tag_content_content:
tag_content["content"].append(block_content)
block_content_list.append(tag_content)
else:
# Not a block tag, e.g. a caption tag, let the content pass through
block_content_list = tag_content_content
else:
block_content_list.append(tag_content)
return block_content_list | Render the tag as body content and call recursively if
the tag has child tags | entailment |
def body_block_paragraph_render(p_tag, html_flag=True, base_url=None):
"""
paragraphs may wrap some other body block content
this is separated out so it can be called from more than one place
"""
# Configure the XML to HTML conversion preference for shorthand use below
convert = lambda xml_string: xml_to_html(html_flag, xml_string, base_url)
block_content_list = []
tag_content_content = []
nodenames = body_block_nodenames()
paragraph_content = u''
for child_tag in p_tag:
if child_tag.name is None or body_block_content(child_tag) == {}:
paragraph_content = paragraph_content + unicode_value(child_tag)
else:
# Add previous paragraph content first
if paragraph_content.strip() != '':
tag_content_content.append(body_block_paragraph_content(convert(paragraph_content)))
paragraph_content = u''
if child_tag.name is not None and body_block_content(child_tag) != {}:
for block_content in body_block_content_render(child_tag, base_url=base_url):
if block_content != {}:
tag_content_content.append(block_content)
# finish up
if paragraph_content.strip() != '':
tag_content_content.append(body_block_paragraph_content(convert(paragraph_content)))
if len(tag_content_content) > 0:
for block_content in tag_content_content:
block_content_list.append(block_content)
return block_content_list | paragraphs may wrap some other body block content
this is separated out so it can be called from more than one place | entailment |
def body_block_caption_render(caption_tags, base_url=None):
"""fig and media tag captions are similar so use this common function"""
caption_content = []
supplementary_material_tags = []
for block_tag in remove_doi_paragraph(caption_tags):
# Note then skip p tags with supplementary-material inside
if raw_parser.supplementary_material(block_tag):
for supp_tag in raw_parser.supplementary_material(block_tag):
supplementary_material_tags.append(supp_tag)
continue
for block_content in body_block_content_render(block_tag, base_url=base_url):
if block_content != {}:
caption_content.append(block_content)
return caption_content, supplementary_material_tags | fig and media tag captions are similar so use this common function | entailment |
def body_block_supplementary_material_render(supp_tags, base_url=None):
"""fig and media tag caption may have supplementary material"""
source_data = []
for supp_tag in supp_tags:
for block_content in body_block_content_render(supp_tag, base_url=base_url):
if block_content != {}:
if "content" in block_content:
del block_content["content"]
source_data.append(block_content)
return source_data | fig and media tag caption may have supplementary material | entailment |
def body_block_paragraph_content(text):
"for formatting of simple paragraphs of text only, and check if it is all whitespace"
tag_content = OrderedDict()
if text and text != '':
tag_content["type"] = "paragraph"
tag_content["text"] = clean_whitespace(text)
return tag_content | for formatting of simple paragraphs of text only, and check if it is all whitespace | entailment |
def body_block_image_content(tag):
"format a graphic or inline-graphic into a body block json format"
image_content = OrderedDict()
if tag:
copy_attribute(tag.attrs, 'xlink:href', image_content, 'uri')
if "uri" in image_content:
# todo!! alt
set_if_value(image_content, "alt", "")
return image_content | format a graphic or inline-graphic into a body block json format | entailment |
def body_block_title_label_caption(tag_content, title_value, label_value,
caption_content, set_caption=True, prefer_title=False, prefer_label=False):
"""set the title, label and caption values in a consistent way
set_caption: insert a "caption" field
prefer_title: when only one value is available, set title rather than label. If False, set label rather than title"""
set_if_value(tag_content, "label", rstrip_punctuation(label_value))
set_if_value(tag_content, "title", title_value)
if set_caption is True and caption_content and len(caption_content) > 0:
tag_content["caption"] = caption_content
if prefer_title:
if "title" not in tag_content and label_value:
set_if_value(tag_content, "title", label_value)
del(tag_content["label"])
if prefer_label:
if "label" not in tag_content and title_value:
set_if_value(tag_content, "label", rstrip_punctuation(title_value))
del(tag_content["title"]) | set the title, label and caption values in a consistent way
set_caption: insert a "caption" field
prefer_title: when only one value is available, set title rather than label. If False, set label rather than title | entailment |
def body_block_attribution(tag):
"extract the attribution content for figures, tables, videos"
attributions = []
if raw_parser.attrib(tag):
for attrib_tag in raw_parser.attrib(tag):
attributions.append(node_contents_str(attrib_tag))
if raw_parser.permissions(tag):
# concatenate content from from the permissions tag
for permissions_tag in raw_parser.permissions(tag):
attrib_string = ''
# add the copyright statement if found
attrib_string = join_sentences(attrib_string,
node_contents_str(raw_parser.copyright_statement(permissions_tag)), '.')
# add the license paragraphs
if raw_parser.licence_p(permissions_tag):
for licence_p_tag in raw_parser.licence_p(permissions_tag):
attrib_string = join_sentences(attrib_string,
node_contents_str(licence_p_tag), '.')
if attrib_string != '':
attributions.append(attrib_string)
return attributions | extract the attribution content for figures, tables, videos | entailment |
def body_blocks(soup):
"""
Note: for some reason this works and few other attempted methods work
Search for certain node types, find the first nodes siblings of the same type
Add the first sibling and the other siblings to a list and return them
"""
nodenames = body_block_nodenames()
body_block_tags = []
if not soup:
return body_block_tags
first_sibling_node = firstnn(soup.find_all())
if first_sibling_node is None:
return body_block_tags
sibling_tags = first_sibling_node.find_next_siblings(nodenames)
# Add the first component tag and the ResultSet tags together
body_block_tags.append(first_sibling_node)
for tag in sibling_tags:
body_block_tags.append(tag)
return body_block_tags | Note: for some reason this works and few other attempted methods work
Search for certain node types, find the first nodes siblings of the same type
Add the first sibling and the other siblings to a list and return them | entailment |
def abstract_json(soup):
"""abstract in article json format"""
abstract_tags = raw_parser.abstract(soup)
abstract_json = None
for tag in abstract_tags:
if tag.get("abstract-type") is None:
abstract_json = render_abstract_json(tag)
return abstract_json | abstract in article json format | entailment |
def digest_json(soup):
"""digest in article json format"""
abstract_tags = raw_parser.abstract(soup, abstract_type="executive-summary")
abstract_json = None
for tag in abstract_tags:
abstract_json = render_abstract_json(tag)
return abstract_json | digest in article json format | entailment |
def author_affiliations(author, html_flag=True):
"""compile author affiliations for json output"""
# Configure the XML to HTML conversion preference for shorthand use below
convert = lambda xml_string: xml_to_html(html_flag, xml_string)
affilations = []
if author.get("affiliations"):
for affiliation in author.get("affiliations"):
affiliation_json = OrderedDict()
affiliation_json["name"] = []
if affiliation.get("dept"):
affiliation_json["name"].append(convert(affiliation.get("dept")))
if affiliation.get("institution") and affiliation.get("institution").strip() != '':
affiliation_json["name"].append(convert(affiliation.get("institution")))
# Remove if empty
if affiliation_json["name"] == []:
del affiliation_json["name"]
if ((affiliation.get("city") and affiliation.get("city").strip() != '')
or affiliation.get("country") and affiliation.get("country").strip() != ''):
affiliation_address = OrderedDict()
affiliation_address["formatted"] = []
affiliation_address["components"] = OrderedDict()
if affiliation.get("city") and affiliation.get("city").strip() != '':
affiliation_address["formatted"].append(affiliation.get("city"))
affiliation_address["components"]["locality"] = []
affiliation_address["components"]["locality"].append(affiliation.get("city"))
if affiliation.get("country") and affiliation.get("country").strip() != '':
affiliation_address["formatted"].append(affiliation.get("country"))
affiliation_address["components"]["country"] = affiliation.get("country")
# Add if not empty
if affiliation_address != {}:
affiliation_json["address"] = affiliation_address
# Add if not empty
if affiliation_json != {}:
affilations.append(affiliation_json)
if affilations != []:
return affilations
else:
return None | compile author affiliations for json output | entailment |
def author_json_details(author, author_json, contributions, correspondence,
competing_interests, equal_contributions_map, present_address_data,
foot_notes_data, html_flag=True):
# Configure the XML to HTML conversion preference for shorthand use below
convert = lambda xml_string: xml_to_html(html_flag, xml_string)
"""add more author json"""
if author_affiliations(author):
author_json["affiliations"] = author_affiliations(author)
# foot notes or additionalInformation
if author_foot_notes(author, foot_notes_data):
author_json["additionalInformation"] = author_foot_notes(author, foot_notes_data)
# email
if author_email_addresses(author, correspondence):
author_json["emailAddresses"] = author_email_addresses(author, correspondence)
# phone
if author_phone_numbers(author, correspondence):
author_json["phoneNumbers"] = author_phone_numbers_json(author, correspondence)
# contributions
if author_contribution(author, contributions):
author_json["contribution"] = convert(author_contribution(author, contributions))
# competing interests
if author_competing_interests(author, competing_interests):
author_json["competingInterests"] = convert(
author_competing_interests(author, competing_interests))
# equal-contributions
if author_equal_contribution(author, equal_contributions_map):
author_json["equalContributionGroups"] = author_equal_contribution(author, equal_contributions_map)
# postalAddress
if author_present_address(author, present_address_data):
author_json["postalAddresses"] = author_present_address(author, present_address_data)
return author_json | add more author json | entailment |
def collab_to_group_author_key_map(authors):
"""compile a map of author collab to group-author-key"""
collab_map = {}
for author in authors:
if author.get("collab"):
collab_map[author.get("collab")] = author.get("group-author-key")
return collab_map | compile a map of author collab to group-author-key | entailment |
def map_equal_contributions(contributors):
"""assign numeric values to each unique equal-contrib id"""
equal_contribution_map = {}
equal_contribution_keys = []
for contributor in contributors:
if contributor.get("references") and "equal-contrib" in contributor.get("references"):
for key in contributor["references"]["equal-contrib"]:
if key not in equal_contribution_keys:
equal_contribution_keys.append(key)
# Do a basic sort
equal_contribution_keys = sorted(equal_contribution_keys)
# Assign keys based on sorted values
for i, equal_contribution_key in enumerate(equal_contribution_keys):
equal_contribution_map[equal_contribution_key] = i+1
return equal_contribution_map | assign numeric values to each unique equal-contrib id | entailment |
def authors_json(soup):
"""authors list in article json format"""
authors_json_data = []
contributors_data = contributors(soup, "full")
author_contributions_data = author_contributions(soup, None)
author_competing_interests_data = competing_interests(soup, None)
author_correspondence_data = full_correspondence(soup)
authors_non_byline_data = authors_non_byline(soup)
equal_contributions_map = map_equal_contributions(contributors_data)
present_address_data = present_addresses(soup)
foot_notes_data = other_foot_notes(soup)
# First line authors builds basic structure
for contributor in contributors_data:
author_json = None
if contributor["type"] == "author" and contributor.get("collab"):
author_json = author_group(contributor, author_contributions_data,
author_correspondence_data, author_competing_interests_data,
equal_contributions_map, present_address_data,
foot_notes_data)
elif contributor.get("on-behalf-of"):
author_json = author_on_behalf_of(contributor)
elif contributor["type"] == "author" and not contributor.get("group-author-key"):
author_json = author_person(contributor, author_contributions_data,
author_correspondence_data, author_competing_interests_data,
equal_contributions_map, present_address_data, foot_notes_data)
if author_json:
authors_json_data.append(author_json)
# Second, add byline author data
collab_map = collab_to_group_author_key_map(contributors_data)
for contributor in [elem for elem in contributors_data if elem.get("group-author-key") and not elem.get("collab")]:
for group_author in [elem for elem in authors_json_data if elem.get('type') == 'group']:
group_author_key = None
if group_author["name"] in collab_map:
group_author_key = collab_map[group_author["name"]]
if contributor.get("group-author-key") == group_author_key:
author_json = author_person(contributor, author_contributions_data,
author_correspondence_data, author_competing_interests_data,
equal_contributions_map, present_address_data, foot_notes_data)
if contributor.get("sub-group"):
if "groups" not in group_author:
group_author["groups"] = OrderedDict()
if contributor.get("sub-group") not in group_author["groups"]:
group_author["groups"][contributor.get("sub-group")] = []
group_author["groups"][contributor.get("sub-group")].append(author_json)
else:
if "people" not in group_author:
group_author["people"] = []
group_author["people"].append(author_json)
authors_json_data_rewritten = elifetools.json_rewrite.rewrite_json("authors_json", soup, authors_json_data)
return authors_json_data_rewritten | authors list in article json format | entailment |
def author_line(soup):
"""take preferred names from authors json and format them into an author line"""
author_line = None
authors_json_data = authors_json(soup)
author_names = extract_author_line_names(authors_json_data)
if len(author_names) > 0:
author_line = format_author_line(author_names)
return author_line | take preferred names from authors json and format them into an author line | entailment |
def format_author_line(author_names):
"""authorLine format depends on if there is 1, 2 or more than 2 authors"""
author_line = None
if not author_names:
return author_line
if len(author_names) <= 2:
author_line = ", ".join(author_names)
elif len(author_names) > 2:
author_line = author_names[0] + " et al."
return author_line | authorLine format depends on if there is 1, 2 or more than 2 authors | entailment |
def references_date(year=None):
"Handle year value parsing for some edge cases"
date = None
discriminator = None
in_press = None
if year and "in press" in year.lower().strip():
in_press = True
elif year and re.match("^[0-9]+$", year):
date = year
elif year:
discriminator_match = re.match("^([0-9]+?)([a-z]+?)$", year)
if discriminator_match:
date = discriminator_match.group(1)
discriminator = discriminator_match.group(2)
else:
date = year
return (date, discriminator, in_press) | Handle year value parsing for some edge cases | entailment |
def references_json_authors(ref_authors, ref_content):
"build the authors for references json here for testability"
all_authors = references_authors(ref_authors)
if all_authors != {}:
if ref_content.get("type") in ["conference-proceeding", "journal", "other",
"periodical", "preprint", "report", "web"]:
for author_type in ["authors", "authorsEtAl"]:
set_if_value(ref_content, author_type, all_authors.get(author_type))
elif ref_content.get("type") in ["book", "book-chapter"]:
for author_type in ["authors", "authorsEtAl", "editors", "editorsEtAl"]:
set_if_value(ref_content, author_type, all_authors.get(author_type))
elif ref_content.get("type") in ["clinical-trial"]:
# Always set as authors, once, then add the authorsType
for author_type in ["authors", "collaborators", "sponsors"]:
if "authorsType" not in ref_content and all_authors.get(author_type):
set_if_value(ref_content, "authors", all_authors.get(author_type))
set_if_value(ref_content, "authorsEtAl", all_authors.get(author_type + "EtAl"))
ref_content["authorsType"] = author_type
elif ref_content.get("type") in ["data", "software"]:
for author_type in ["authors", "authorsEtAl",
"compilers", "compilersEtAl", "curators", "curatorsEtAl"]:
set_if_value(ref_content, author_type, all_authors.get(author_type))
elif ref_content.get("type") in ["patent"]:
for author_type in ["inventors", "inventorsEtAl", "assignees", "assigneesEtAl"]:
set_if_value(ref_content, author_type, all_authors.get(author_type))
elif ref_content.get("type") in ["thesis"]:
# Convert list to a non-list
if all_authors.get("authors") and len(all_authors.get("authors")) > 0:
ref_content["author"] = all_authors.get("authors")[0]
return ref_content | build the authors for references json here for testability | entailment |
def convert_references_json(ref_content, soup=None):
"Check for references that will not pass schema validation, fix or convert them to unknown"
# Convert reference to unkonwn if still missing important values
if (
(ref_content.get("type") == "other")
or
(ref_content.get("type") == "book-chapter" and "editors" not in ref_content)
or
(ref_content.get("type") == "journal" and "articleTitle" not in ref_content)
or
(ref_content.get("type") in ["journal", "book-chapter"]
and not "pages" in ref_content)
or
(ref_content.get("type") == "journal" and "journal" not in ref_content)
or
(ref_content.get("type") in ["book", "book-chapter", "report", "thesis", "software"]
and "publisher" not in ref_content)
or
(ref_content.get("type") == "book" and "bookTitle" not in ref_content)
or
(ref_content.get("type") == "data" and "source" not in ref_content)
or
(ref_content.get("type") == "conference-proceeding" and "conference" not in ref_content)
):
ref_content = references_json_to_unknown(ref_content, soup)
return ref_content | Check for references that will not pass schema validation, fix or convert them to unknown | entailment |
def references_json_unknown_details(ref_content, soup=None):
"Extract detail value for references of type unknown"
details = ""
# Try adding pages values first
if "pages" in ref_content:
if "range" in ref_content["pages"]:
details += ref_content["pages"]["range"]
else:
details += ref_content["pages"]
if soup:
# Attempt to find the XML element by id, and convert it to details
if "id" in ref_content:
ref_tag = first(soup.select("ref#" + ref_content["id"]))
if ref_tag:
# Now remove tags that would be already part of the unknown reference by now
for remove_tag in ["person-group", "year", "article-title",
"elocation-id", "fpage", "lpage"]:
ref_tag = remove_tag_from_tag(ref_tag, remove_tag)
# Add the remaining tag content comma separated
for tag in first(raw_parser.element_citation(ref_tag)):
if node_text(tag) is not None:
if details != "":
details += ", "
details += node_text(tag)
if details == "":
return None
else:
return details | Extract detail value for references of type unknown | entailment |
def unwrap_appendix_box(json_content):
"""for use in removing unwanted boxed-content from appendices json"""
if json_content.get("content") and len(json_content["content"]) > 0:
first_block = json_content["content"][0]
if (first_block.get("type")
and first_block.get("type") == "box"
and first_block.get("content")):
if first_block.get("doi") and not json_content.get("doi"):
json_content["doi"] = first_block.get("doi")
json_content["content"] = first_block["content"]
return json_content | for use in removing unwanted boxed-content from appendices json | entailment |
def extract_schemas_from_file(source_path):
"""Extract schemas from 'source_path'.
:returns: a list of ViewSchema objects on success, None if no schemas
could be extracted.
"""
logging.info("Extracting schemas from %s", source_path)
try:
with open(source_path, 'r') as source_file:
source = source_file.read()
except (FileNotFoundError, PermissionError) as e:
logging.error("Cannot extract schemas: %s", e.strerror)
else:
try:
schemas = extract_schemas_from_source(source, source_path)
except SyntaxError as e:
logging.error("Cannot extract schemas: %s", str(e))
else:
logging.info(
"Extracted %d %s",
len(schemas),
"schema" if len(schemas) == 1 else "schemas")
return schemas | Extract schemas from 'source_path'.
:returns: a list of ViewSchema objects on success, None if no schemas
could be extracted. | entailment |
def _get_simple_assignments(tree):
"""Get simple assignments from node tree."""
result = {}
for node in ast.walk(tree):
if isinstance(node, ast.Assign):
for target in node.targets:
if isinstance(target, ast.Name):
result[target.id] = node.value
return result | Get simple assignments from node tree. | entailment |
def extract_schemas_from_source(source, filename='<unknown>'):
"""Extract schemas from 'source'.
The 'source' parameter must be a string, and should be valid python
source.
If 'source' is not valid python source, a SyntaxError will be raised.
:returns: a list of ViewSchema objects.
"""
# Track which acceptable services have been configured.
acceptable_services = set()
# Track which acceptable views have been configured:
acceptable_views = {}
schemas_found = []
ast_tree = ast.parse(source, filename)
simple_names = _get_simple_assignments(ast_tree)
assigns = [n for n in ast_tree.body if isinstance(n, ast.Assign)]
call_assigns = [n for n in assigns if isinstance(n.value, ast.Call)]
# We need to extract the AcceptableService-related views. We parse the
# assignations twice: The first time to extract the AcceptableService
# instances, the second to extract the views created on those services.
for assign in call_assigns:
if isinstance(assign.value.func, ast.Attribute):
continue
if assign.value.func.id == 'AcceptableService':
for target in assign.targets:
acceptable_services.add(target.id)
for assign in call_assigns:
# only consider calls which are attribute accesses, AND
# calls where the object being accessed is in acceptable_services, AND
# calls where the attribute being accessed is the 'api' method.
if isinstance(assign.value.func, ast.Attribute) and \
assign.value.func.value.id in acceptable_services and \
assign.value.func.attr == 'api':
# this is a view. We need to extract the url and methods specified.
# they may be specified positionally or via a keyword.
url = None
name = None
# methods has a default value:
methods = ['GET']
# This is a view - the URL is the first positional argument:
args = assign.value.args
if len(args) >= 1:
url = ast.literal_eval(args[0])
if len(args) >= 2:
name = ast.literal_eval(args[1])
kwargs = assign.value.keywords
for kwarg in kwargs:
if kwarg.arg == 'url':
url = ast.literal_eval(kwarg.value)
if kwarg.arg == 'methods':
methods = ast.literal_eval(kwarg.value)
if kwarg.arg == 'view_name':
name = ast.literal_eval(kwarg.value)
if url and name:
for target in assign.targets:
acceptable_views[target.id] = {
'url': url,
'name': name,
'methods': methods,
}
# iterate over all functions, attempting to find the views.
functions = [n for n in ast_tree.body if isinstance(n, ast.FunctionDef)]
for function in functions:
input_schema = None
output_schema = None
doc = ast.get_docstring(function)
api_options_list = []
for decorator in function.decorator_list:
if not isinstance(decorator, ast.Call):
continue
if isinstance(decorator.func, ast.Attribute):
decorator_name = decorator.func.value.id
# extract version this view was introduced at, which can be
# specified as an arg or a kwarg:
version = None
for kwarg in decorator.keywords:
if kwarg.arg == 'introduced_at':
version = ast.literal_eval(kwarg.value)
break
if len(decorator.args) == 1:
version = ast.literal_eval(decorator.args[0])
if decorator_name in acceptable_views:
api_options = acceptable_views[decorator_name]
api_options['version'] = version
api_options_list.append(api_options)
else:
decorator_name = decorator.func.id
if decorator_name == 'validate_body':
_SimpleNamesResolver(simple_names).visit(decorator.args[0])
input_schema = ast.literal_eval(decorator.args[0])
if decorator_name == 'validate_output':
_SimpleNamesResolver(simple_names).visit(decorator.args[0])
output_schema = ast.literal_eval(decorator.args[0])
for api_options in api_options_list:
schema = ViewSchema(
view_name=api_options['name'],
version=api_options['version'],
input_schema=input_schema,
output_schema=output_schema,
methods=api_options['methods'],
url=api_options['url'],
doc=doc,
)
schemas_found.append(schema)
return schemas_found | Extract schemas from 'source'.
The 'source' parameter must be a string, and should be valid python
source.
If 'source' is not valid python source, a SyntaxError will be raised.
:returns: a list of ViewSchema objects. | entailment |
def render_value(value):
"""Render a value, ensuring that any nested dicts are sorted by key."""
if isinstance(value, list):
return '[' + ', '.join(render_value(v) for v in value) + ']'
elif isinstance(value, dict):
return (
'{' +
', '.join('{k!r}: {v}'.format(
k=k, v=render_value(v)) for k, v in sorted(value.items())) +
'}')
else:
return repr(value) | Render a value, ensuring that any nested dicts are sorted by key. | entailment |
def write_service_double_file(target_root, service_name, rendered):
"""Render syntactically valid python service double code."""
target_path = os.path.join(
target_root,
'snapstore_schemas', 'service_doubles', '%s.py' % service_name
)
with open(target_path, 'w') as target_file:
target_file.write(rendered) | Render syntactically valid python service double code. | entailment |
def clean_docstring(docstring):
"""Dedent docstring, special casing the first line."""
docstring = docstring.strip()
if '\n' in docstring:
# multiline docstring
if docstring[0].isspace():
# whole docstring is indented
return textwrap.dedent(docstring)
else:
# first line not indented, rest maybe
first, _, rest = docstring.partition('\n')
return first + '\n' + textwrap.dedent(rest)
return docstring | Dedent docstring, special casing the first line. | entailment |
def _sort_schema(schema):
"""Recursively sorts a JSON schema by dict key."""
if isinstance(schema, dict):
for k, v in sorted(schema.items()):
if isinstance(v, dict):
yield k, OrderedDict(_sort_schema(v))
elif isinstance(v, list):
yield k, list(_sort_schema(v))
else:
yield k, v
elif isinstance(schema, list):
for v in schema:
if isinstance(v, dict):
yield OrderedDict(_sort_schema(v))
elif isinstance(v, list):
yield list(_sort_schema(v))
else:
yield v
else:
yield d | Recursively sorts a JSON schema by dict key. | entailment |
def urlmap(patterns):
"""Recursively build a map of (group, name) => url patterns.
Group is either the resolver namespace or app name for the url config.
The urls are joined with any prefixes, and cleaned up of extraneous regex
specific syntax."""
for pattern in patterns:
group = getattr(pattern, 'namespace', None)
if group is None:
group = getattr(pattern, 'app_name', None)
path = '/' + get_pattern(pattern).lstrip('^').rstrip('$')
if isinstance(pattern, PATTERNS):
yield (group, pattern.name), path
elif isinstance(pattern, RESOLVERS):
subpatterns = pattern.url_patterns
for (_, name), subpath in urlmap(subpatterns):
yield (group, name), path.rstrip('/') + subpath | Recursively build a map of (group, name) => url patterns.
Group is either the resolver namespace or app name for the url config.
The urls are joined with any prefixes, and cleaned up of extraneous regex
specific syntax. | entailment |
def get_field_schema(name, field):
"""Returns a JSON Schema representation of a form field."""
field_schema = {
'type': 'string',
}
if field.label:
field_schema['title'] = str(field.label) # force translation
if field.help_text:
field_schema['description'] = str(field.help_text) # force translation
if isinstance(field, (fields.URLField, fields.FileField)):
field_schema['format'] = 'uri'
elif isinstance(field, fields.EmailField):
field_schema['format'] = 'email'
elif isinstance(field, fields.DateTimeField):
field_schema['format'] = 'date-time'
elif isinstance(field, fields.DateField):
field_schema['format'] = 'date'
elif isinstance(field, (fields.DecimalField, fields.FloatField)):
field_schema['type'] = 'number'
elif isinstance(field, fields.IntegerField):
field_schema['type'] = 'integer'
elif isinstance(field, fields.NullBooleanField):
field_schema['type'] = 'boolean'
elif isinstance(field.widget, widgets.CheckboxInput):
field_schema['type'] = 'boolean'
if getattr(field, 'choices', []):
field_schema['enum'] = sorted([choice[0] for choice in field.choices])
# check for multiple values
if isinstance(field.widget, (widgets.Select, widgets.ChoiceWidget)):
if field.widget.allow_multiple_selected:
# promote to array of <type>, move details into the items field
field_schema['items'] = {
'type': field_schema['type'],
}
if 'enum' in field_schema:
field_schema['items']['enum'] = field_schema.pop('enum')
field_schema['type'] = 'array'
return field_schema | Returns a JSON Schema representation of a form field. | entailment |
def get_form_schema(form):
"""Return a JSON Schema object for a Django Form."""
schema = {
'type': 'object',
'properties': {},
}
for name, field in form.base_fields.items():
schema['properties'][name] = get_field_schema(name, field)
if field.required:
schema.setdefault('required', []).append(name)
return schema | Return a JSON Schema object for a Django Form. | entailment |
def handler(self, handler_class):
"""Link to an API handler class (e.g. piston or DRF)."""
self.handler_class = handler_class
# we take the docstring from the handler class, not the methods
if self.docs is None and handler_class.__doc__:
self.docs = clean_docstring(handler_class.__doc__)
return handler_class | Link to an API handler class (e.g. piston or DRF). | entailment |
def xml_to_html(html_flag, xml_string, base_url=None):
"For formatting json output into HTML friendly format"
if not xml_string or not html_flag is True:
return xml_string
html_string = xml_string
html_string = remove_comment_tags(html_string)
# Escape unmatched angle brackets
if '<' in html_string or '>' in html_string:
html_string = escape_html(html_string)
# Replace more tags
html_string = replace_xref_tags(html_string)
html_string = replace_ext_link_tags(html_string)
html_string = replace_email_tags(html_string)
html_string = replace_inline_graphic_tags(html_string, base_url)
html_string = replace_named_content_tags(html_string)
html_string = replace_mathml_tags(html_string)
html_string = replace_table_style_author_callout(html_string)
html_string = replace_simple_tags(html_string, 'italic', 'i')
html_string = replace_simple_tags(html_string, 'bold', 'b')
html_string = replace_simple_tags(html_string, 'underline', 'span', '<span class="underline">')
html_string = replace_simple_tags(html_string, 'sc', 'span', '<span class="small-caps">')
html_string = replace_simple_tags(html_string, 'monospace', 'span', '<span class="monospace">')
html_string = replace_simple_tags(html_string, 'inline-formula', None)
html_string = replace_simple_tags(html_string, 'break', 'br')
return html_string | For formatting json output into HTML friendly format | entailment |
def replace_simple_tags(s, from_tag='italic', to_tag='i', to_open_tag=None):
"""
Replace tags such as <italic> to <i>
This does not validate markup
"""
if to_open_tag:
s = s.replace('<' + from_tag + '>', to_open_tag)
elif to_tag:
s = s.replace('<' + from_tag + '>', '<' + to_tag + '>')
s = s.replace('<' + from_tag + '/>', '<' + to_tag + '/>')
else:
s = s.replace('<' + from_tag + '>', '')
s = s.replace('<' + from_tag + '/>', '')
if to_tag:
s = s.replace('</' + from_tag + '>', '</' + to_tag + '>')
else:
s = s.replace('</' + from_tag + '>', '')
return s | Replace tags such as <italic> to <i>
This does not validate markup | entailment |
def validate_body(schema):
"""Validate the body of incoming requests for a flask view.
An example usage might look like this::
from snapstore_schemas import validate_body
@validate_body({
'type': 'array',
'items': {
'type': 'object',
'properties': {
'snap_id': {'type': 'string'},
'series': {'type': 'string'},
'name': {'type': 'string'},
'title': {'type': 'string'},
'keywords': {
'type': 'array',
'items': {'type': 'string'}
},
'summary': {'type': 'string'},
'description': {'type': 'string'},
'created_at': {'type': 'string'},
},
'required': ['snap_id', 'series'],
'additionalProperties': False
}
})
def my_flask_view():
# view code here
return "Hello World", 200
All incoming request that have been routed to this view will be matched
against the specified schema. If the request body does not match the schema
an instance of `DataValidationError` will be raised.
By default this will cause the flask application to return a 500 response,
but this can be customised by telling flask how to handle these exceptions.
The exception instance has an 'error_list' attribute that contains a list
of all the errors encountered while processing the request body.
"""
location = get_callsite_location()
def decorator(fn):
validate_schema(schema)
wrapper = wrap_request(fn, schema)
record_schemas(
fn, wrapper, location, request_schema=sort_schema(schema))
return wrapper
return decorator | Validate the body of incoming requests for a flask view.
An example usage might look like this::
from snapstore_schemas import validate_body
@validate_body({
'type': 'array',
'items': {
'type': 'object',
'properties': {
'snap_id': {'type': 'string'},
'series': {'type': 'string'},
'name': {'type': 'string'},
'title': {'type': 'string'},
'keywords': {
'type': 'array',
'items': {'type': 'string'}
},
'summary': {'type': 'string'},
'description': {'type': 'string'},
'created_at': {'type': 'string'},
},
'required': ['snap_id', 'series'],
'additionalProperties': False
}
})
def my_flask_view():
# view code here
return "Hello World", 200
All incoming request that have been routed to this view will be matched
against the specified schema. If the request body does not match the schema
an instance of `DataValidationError` will be raised.
By default this will cause the flask application to return a 500 response,
but this can be customised by telling flask how to handle these exceptions.
The exception instance has an 'error_list' attribute that contains a list
of all the errors encountered while processing the request body. | entailment |
def record_schemas(
fn, wrapper, location, request_schema=None, response_schema=None):
"""Support extracting the schema from the decorated function."""
# have we already been decorated by an acceptable api call?
has_acceptable = hasattr(fn, '_acceptable_metadata')
if request_schema is not None:
# preserve schema for later use
wrapper._request_schema = wrapper._request_schema = request_schema
wrapper._request_schema_location = location
if has_acceptable:
fn._acceptable_metadata._request_schema = request_schema
fn._acceptable_metadata._request_schema_location = location
if response_schema is not None:
# preserve schema for later use
wrapper._response_schema = wrapper._response_schema = response_schema
wrapper._response_schema_location = location
if has_acceptable:
fn._acceptable_metadata._response_schema = response_schema
fn._acceptable_metadata._response_schema_location = location | Support extracting the schema from the decorated function. | entailment |
def validate_output(schema):
"""Validate the body of a response from a flask view.
Like `validate_body`, this function compares a json document to a
jsonschema specification. However, this function applies the schema to the
view response.
Instead of the view returning a flask response object, it should instead
return a Python list or dictionary. For example::
from snapstore_schemas import validate_output
@validate_output({
'type': 'object',
'properties': {
'ok': {'type': 'boolean'},
},
'required': ['ok'],
'additionalProperties': False
}
def my_flask_view():
# view code here
return {'ok': True}
Every view response will be evaluated against the schema. Any that do not
comply with the schema will cause DataValidationError to be raised.
"""
location = get_callsite_location()
def decorator(fn):
validate_schema(schema)
wrapper = wrap_response(fn, schema)
record_schemas(
fn, wrapper, location, response_schema=sort_schema(schema))
return wrapper
return decorator | Validate the body of a response from a flask view.
Like `validate_body`, this function compares a json document to a
jsonschema specification. However, this function applies the schema to the
view response.
Instead of the view returning a flask response object, it should instead
return a Python list or dictionary. For example::
from snapstore_schemas import validate_output
@validate_output({
'type': 'object',
'properties': {
'ok': {'type': 'boolean'},
},
'required': ['ok'],
'additionalProperties': False
}
def my_flask_view():
# view code here
return {'ok': True}
Every view response will be evaluated against the schema. Any that do not
comply with the schema will cause DataValidationError to be raised. | entailment |
def validate(payload, schema):
"""Validate `payload` against `schema`, returning an error list.
jsonschema provides lots of information in it's errors, but it can be a bit
of work to extract all the information.
"""
v = jsonschema.Draft4Validator(
schema, format_checker=jsonschema.FormatChecker())
error_list = []
for error in v.iter_errors(payload):
message = error.message
location = '/' + '/'.join([str(c) for c in error.absolute_path])
error_list.append(message + ' at ' + location)
return error_list | Validate `payload` against `schema`, returning an error list.
jsonschema provides lots of information in it's errors, but it can be a bit
of work to extract all the information. | entailment |
def connect(url, max_retries=None, **kwargs):
"""Connects to a Phoenix query server.
:param url:
URL to the Phoenix query server, e.g. ``http://localhost:8765/``
:param autocommit:
Switch the connection to autocommit mode.
:param readonly:
Switch the connection to readonly mode.
:param max_retries:
The maximum number of retries in case there is a connection error.
:param cursor_factory:
If specified, the connection's :attr:`~phoenixdb.connection.Connection.cursor_factory` is set to it.
:returns:
:class:`~phoenixdb.connection.Connection` object.
"""
client = AvaticaClient(url, max_retries=max_retries)
client.connect()
return Connection(client, **kwargs) | Connects to a Phoenix query server.
:param url:
URL to the Phoenix query server, e.g. ``http://localhost:8765/``
:param autocommit:
Switch the connection to autocommit mode.
:param readonly:
Switch the connection to readonly mode.
:param max_retries:
The maximum number of retries in case there is a connection error.
:param cursor_factory:
If specified, the connection's :attr:`~phoenixdb.connection.Connection.cursor_factory` is set to it.
:returns:
:class:`~phoenixdb.connection.Connection` object. | entailment |
def connect(self):
"""Opens a HTTP connection to the RPC server."""
logger.debug("Opening connection to %s:%s", self.url.hostname, self.url.port)
try:
self.connection = httplib.HTTPConnection(self.url.hostname, self.url.port)
self.connection.connect()
except (httplib.HTTPException, socket.error) as e:
raise errors.InterfaceError('Unable to connect to the specified service', e) | Opens a HTTP connection to the RPC server. | entailment |
def close(self):
"""Closes the HTTP connection to the RPC server."""
if self.connection is not None:
logger.debug("Closing connection to %s:%s", self.url.hostname, self.url.port)
try:
self.connection.close()
except httplib.HTTPException:
logger.warning("Error while closing connection", exc_info=True)
self.connection = None | Closes the HTTP connection to the RPC server. | entailment |
def connection_sync(self, connection_id, connProps=None):
"""Synchronizes connection properties with the server.
:param connection_id:
ID of the current connection.
:param connProps:
Dictionary with the properties that should be changed.
:returns:
A ``common_pb2.ConnectionProperties`` object.
"""
if connProps is None:
connProps = {}
request = requests_pb2.ConnectionSyncRequest()
request.connection_id = connection_id
request.conn_props.auto_commit = connProps.get('autoCommit', False)
request.conn_props.has_auto_commit = True
request.conn_props.read_only = connProps.get('readOnly', False)
request.conn_props.has_read_only = True
request.conn_props.transaction_isolation = connProps.get('transactionIsolation', 0)
request.conn_props.catalog = connProps.get('catalog', '')
request.conn_props.schema = connProps.get('schema', '')
response_data = self._apply(request)
response = responses_pb2.ConnectionSyncResponse()
response.ParseFromString(response_data)
return response.conn_props | Synchronizes connection properties with the server.
:param connection_id:
ID of the current connection.
:param connProps:
Dictionary with the properties that should be changed.
:returns:
A ``common_pb2.ConnectionProperties`` object. | entailment |
def open_connection(self, connection_id, info=None):
"""Opens a new connection.
:param connection_id:
ID of the connection to open.
"""
request = requests_pb2.OpenConnectionRequest()
request.connection_id = connection_id
if info is not None:
# Info is a list of repeated pairs, setting a dict directly fails
for k, v in info.items():
request.info[k] = v
response_data = self._apply(request)
response = responses_pb2.OpenConnectionResponse()
response.ParseFromString(response_data) | Opens a new connection.
:param connection_id:
ID of the connection to open. | entailment |
def close_connection(self, connection_id):
"""Closes a connection.
:param connection_id:
ID of the connection to close.
"""
request = requests_pb2.CloseConnectionRequest()
request.connection_id = connection_id
self._apply(request) | Closes a connection.
:param connection_id:
ID of the connection to close. | entailment |
def create_statement(self, connection_id):
"""Creates a new statement.
:param connection_id:
ID of the current connection.
:returns:
New statement ID.
"""
request = requests_pb2.CreateStatementRequest()
request.connection_id = connection_id
response_data = self._apply(request)
response = responses_pb2.CreateStatementResponse()
response.ParseFromString(response_data)
return response.statement_id | Creates a new statement.
:param connection_id:
ID of the current connection.
:returns:
New statement ID. | entailment |
def close_statement(self, connection_id, statement_id):
"""Closes a statement.
:param connection_id:
ID of the current connection.
:param statement_id:
ID of the statement to close.
"""
request = requests_pb2.CloseStatementRequest()
request.connection_id = connection_id
request.statement_id = statement_id
self._apply(request) | Closes a statement.
:param connection_id:
ID of the current connection.
:param statement_id:
ID of the statement to close. | entailment |
def prepare_and_execute(self, connection_id, statement_id, sql, max_rows_total=None, first_frame_max_size=None):
"""Prepares and immediately executes a statement.
:param connection_id:
ID of the current connection.
:param statement_id:
ID of the statement to prepare.
:param sql:
SQL query.
:param max_rows_total:
The maximum number of rows that will be allowed for this query.
:param first_frame_max_size:
The maximum number of rows that will be returned in the first Frame returned for this query.
:returns:
Result set with the signature of the prepared statement and the first frame data.
"""
request = requests_pb2.PrepareAndExecuteRequest()
request.connection_id = connection_id
request.statement_id = statement_id
request.sql = sql
if max_rows_total is not None:
request.max_rows_total = max_rows_total
if first_frame_max_size is not None:
request.first_frame_max_size = first_frame_max_size
response_data = self._apply(request, 'ExecuteResponse')
response = responses_pb2.ExecuteResponse()
response.ParseFromString(response_data)
return response.results | Prepares and immediately executes a statement.
:param connection_id:
ID of the current connection.
:param statement_id:
ID of the statement to prepare.
:param sql:
SQL query.
:param max_rows_total:
The maximum number of rows that will be allowed for this query.
:param first_frame_max_size:
The maximum number of rows that will be returned in the first Frame returned for this query.
:returns:
Result set with the signature of the prepared statement and the first frame data. | entailment |
Subsets and Splits