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import collections
from fatcat_client import ApiClient
def entity_to_dict(entity, api_client=None):
"""
Hack to take advantage of the code-generated serialization code.
Initializing/destroying ApiClient objects is surprisingly expensive
(because it involves a threadpool), so we allow passing an existing
instance. If you already have a full-on API connection `api`, you can
access the ApiClient object as `api.api_client`. This is such a speed-up
that this argument may become mandatory.
"""
if not api_client:
api_client = ApiClient()
return api_client.sanitize_for_serialization(entity)
def entity_from_json(json_str, entity_type, api_client=None):
"""
Hack to take advantage of the code-generated deserialization code
See not on `entity_to_dict()` about api_client argument.
"""
if not api_client:
api_client = ApiClient()
thing = collections.namedtuple('Thing', ['data'])
thing.data = json_str
return api_client.deserialize(thing, entity_type)
def check_kbart(year, archive):
if not archive or not archive.get('year_spans'):
return None
for span in archive['year_spans']:
if year >= span[0] and year <= span[1]:
return True
return False
def test_check_kbart():
assert check_kbart(1990, dict(year_spans=[[2000, 2000]])) == False
assert check_kbart(2000, dict(year_spans=[[2000, 2000]])) == True
assert check_kbart(1950, dict(year_spans=[[1900, 1920], [1990, 2000]])) == False
assert check_kbart(1950, dict(year_spans=[[1900, 1920], [1930, 2000]])) == True
def release_to_elasticsearch(entity, force_bool=True):
"""
Converts from an entity model/schema to elasticsearch oriented schema.
Returns: dict
Raises exception on error (never returns None)
"""
if entity.state in ('redirect', 'deleted'):
return dict(
ident = entity.ident,
state = entity.state,
)
elif entity.state != 'active':
raise ValueError("Unhandled entity state: {}".format(entity.state))
# First, the easy ones (direct copy)
release = entity
t = dict(
ident = release.ident,
state = release.state,
revision = release.revision,
title = release.title,
original_title = release.original_title,
release_type = release.release_type,
release_status = release.release_status,
language = release.language,
license = release.license_slug,
doi = release.doi,
pmid = release.pmid,
pmcid = release.pmcid,
isbn13 = release.isbn13,
wikidata_qid = release.wikidata_qid,
core_id = release.core_id,
arxiv_id = release.core_id,
jstor_id = release.jstor_id,
)
is_oa = None
is_preserved = None
is_longtail_oa = None
in_kbart = None
in_jstor = False
in_web = False
in_dweb = False
in_ia = False
in_ia_sim = False
in_shadow = False
release_year = release.release_year
if release.release_date:
# .isoformat() results in, eg, '2010-10-22' (YYYY-MM-DD)
t['release_date'] = release.release_date.isoformat()
if not release_year:
release_year = release.release_date.year
if release_year:
t['release_year'] = release_year
t['any_abstract'] = len(release.abstracts) > 0
t['ref_count'] = len(release.refs or [])
t['contrib_count'] = len(release.contribs or [])
contrib_names = []
for c in (release.contribs or []):
if c.raw_name:
contrib_names.append(c.raw_name)
t['contrib_names'] = contrib_names
container = release.container
if container:
t['publisher'] = container.publisher
t['container_name'] = container.name
t['container_id'] = container.ident
t['container_issnl'] = container.issnl
t['container_type'] = container.container_type
if container.extra:
c_extra = container.extra
if c_extra.get('kbart') and release_year:
in_jstor = check_kbart(release_year, c_extra['kbart'].get('jstor'))
in_kbart = in_jstor
for archive in ('portico', 'lockss', 'clockss'):
in_kbart = in_kbart or check_kbart(release_year, c_extra['kbart'].get(archive))
if c_extra.get('ia'):
if c_extra['ia'].get('sim') and release_year:
in_ia_sim = check_kbart(release_year, c_extra['ia']['sim'])
if c_extra['ia'].get('longtail_oa'):
is_longtail_oa = True
if c_extra.get('sherpa_romeo'):
if c_extra['sherpa_romeo'].get('color') == 'white':
is_oa = False
if c_extra.get('default_license') and c_extra.get('default_license').startswith('CC-'):
is_oa = True
if c_extra.get('doaj'):
if c_extra['doaj'].get('as_of'):
is_oa = True
if c_extra.get('road'):
if c_extra['road'].get('as_of'):
is_oa = True
else:
t['publisher'] = release.publisher
if release.jstor_id or (release.doi and release.doi.startswith('10.2307/')):
in_jstor = True
files = release.files or []
t['file_count'] = len(files)
t['fileset_count'] = len(release.filesets or [])
t['webcapture_count'] = len(release.webcaptures or [])
any_pdf_url = None
good_pdf_url = None
best_pdf_url = None
ia_pdf_url = None
for f in files:
if f.extra and f.extra.get('shadows'):
# TODO: shadow check goes here
in_shadows = True
is_pdf = 'pdf' in (f.mimetype or '')
for url in (f.urls or []):
if url.url.lower().startswith('http'):
in_web = True
if url.rel in ('dweb', 'p2p', 'ipfs', 'dat', 'torrent'):
# not sure what rel will be for this stuff
in_dweb = True
if is_pdf:
any_pdf_url = url.url
if is_pdf and url.rel in ('webarchive', 'repository') and is_pdf:
is_preserved = True
good_pdf_url = url.url
if '//www.jstor.org/' in url.url:
in_jstor = True
if '//web.archive.org/' in url.url or '//archive.org/' in url.url:
in_ia = True
if is_pdf:
best_pdf_url = url.url
ia_pdf_url = url.url
# here is where we bake-in priority; IA-specific
t['best_pdf_url'] = best_pdf_url or good_pdf_url or any_pdf_url
t['ia_pdf_url'] = ia_pdf_url
if release.license_slug:
# TODO: more/better checks here, particularly strict *not* OA licenses
if release.license_slug.startswith("CC-"):
is_oa = True
extra = release.extra or dict()
if extra:
if extra.get('is_oa'):
# NOTE: not actually setting this anywhere... but could
is_oa = True
if extra.get('longtail_oa'):
# sometimes set by GROBID/matcher
is_oa = True
is_longtail_oa = True
if not t.get('container_name'):
t['container_name'] = extra.get('container_name')
if extra.get('crossref'):
if extra['crossref'].get('archive'):
# all crossref archives are KBART, I believe
in_kbart = True
if is_longtail_oa:
is_oa = True
if force_bool:
t['is_oa'] = bool(is_oa)
t['is_longtail_oa'] = bool(is_longtail_oa)
t['in_kbart'] = bool(in_kbart)
t['in_ia_sim'] = bool(in_ia_sim)
t['in_jstor'] = bool(in_jstor)
t['in_web'] = bool(in_web)
t['in_dweb'] = bool(in_dweb)
else:
t['is_oa'] = is_oa
t['is_longtail_oa'] = is_longtail_oa
t['in_kbart'] = in_kbart
t['in_ia_sim'] = in_ia_sim
t['in_jstor'] = in_jstor
t['in_web'] = in_web
t['in_dweb'] = in_dweb
t['in_ia'] = bool(in_ia)
t['is_preserved'] = bool(is_preserved or in_ia or in_kbart or in_jstor)
return t
def container_to_elasticsearch(entity, force_bool=True):
"""
Converts from an entity model/schema to elasticsearch oriented schema.
Returns: dict
Raises exception on error (never returns None)
"""
if entity.state in ('redirect', 'deleted'):
return dict(
ident = entity.ident,
state = entity.state,
)
elif entity.state != 'active':
raise ValueError("Unhandled entity state: {}".format(entity.state))
# First, the easy ones (direct copy)
t = dict(
ident = entity.ident,
state = entity.state,
revision = entity.revision,
name = entity.name,
publisher = entity.publisher,
container_type = entity.container_type,
issnl = entity.issnl,
wikidata_qid = entity.wikidata_qid,
)
# TODO: region, discipline
# TODO: single primary language?
if not entity.extra:
entity.extra = dict()
for key in ('country', 'languages', 'mimetypes', 'first_year', 'last_year'):
if entity.extra.get(key):
t[key] = entity.extra[key]
in_doaj = None
in_road = None
# TODO: not currently implemented
in_doi = None
# TODO: would be nice to have 'in_doaj_works', or maybe just "any_pid"
#in_doaj_works = None
in_sherpa_romeo = None
is_oa = None
# TODO: not actually set/stored anywhere?
is_longtail_oa = None
any_kbart = None
any_jstor = None
any_ia_sim = None
extra = entity.extra
if extra.get('doaj'):
if extra['doaj'].get('as_of'):
in_doaj = True
if extra.get('road'):
if extra['road'].get('as_of'):
in_road = True
if extra.get('default_license'):
if extra['default_license'].startswith('CC-'):
is_oa = True
if extra.get('sherpa_romeo'):
in_sherpa_romeo = True
if extra['sherpa_romeo'].get('color') == 'white':
is_oa = False
if extra.get('kbart'):
any_kbart = True
if extra['kbart'].get('jstor'):
any_jstor = True
if extra.get('ia'):
if extra['ia'].get('sim'):
any_ia_sim = True
t['in_doaj'] = bool(in_doaj)
t['in_road'] = bool(in_road)
t['in_sherpa_romeo'] = bool(in_sherpa_romeo)
t['any_kbart'] = bool(any_kbart)
t['is_longtail_oa'] = bool(is_longtail_oa)
if force_bool:
t['in_doi'] = bool(in_doi)
t['is_oa'] = bool(in_doaj or in_road or is_longtail_oa or is_oa)
t['any_jstor'] = bool(any_jstor)
t['any_ia_sim'] = bool(any_ia_sim)
else:
t['in_doi'] = in_doi
t['is_oa'] = in_doaj or in_road or is_longtail_oa or is_oa
t['any_jstor'] = any_jstor
t['any_ia_sim'] = any_ia_sim
return t
def contribs_by_role(contribs, role):
ret = [c.copy() for c in contribs if c['role'] == role]
[c.pop('role') for c in ret]
# XXX:
[c.pop('literal') for c in ret]
if not ret:
return None
else:
return ret
def release_to_csl(entity):
"""
Returns a python dict which can be json.dumps() to get a CSL-JSON (aka,
citeproc-JSON, aka Citation Style Language JSON)
This function will likely become an API method/endpoint
Follows, but not enforced by: https://github.com/citation-style-language/schema/blob/master/csl-data.json
"""
contribs = []
for contrib in (entity.contribs or []):
if contrib.creator:
# TODO: should we actually be pulling creator metadata? or just
# using release-local raw metadata?
c = dict(
family=contrib.creator.surname,
given=contrib.creator.given_name,
#dropping-particle
#non-dropping-particle
#suffix
#comma-suffix
#static-ordering
literal=contrib.raw_name, # or display_name?
#parse-names,
role=contrib.role,
)
else:
c = dict(
# XXX: possible inclusion of full name metadata in release_contrib
family=contrib.raw_name.split()[-1],
literal=contrib.raw_name,
role=contrib.role,
)
for k in list(c.keys()):
if not c[k]:
c.pop(k)
contribs.append(c)
abstract = None
if entity.abstracts:
abstract = entity.abstracts[0].content
issued_date = None
if entity.release_date:
issued_date = {"date-parts": [[
entity.release_date.year,
entity.release_date.month,
entity.release_date.day,
]]}
elif entity.release_year:
issued_date = {"date-parts": [[entity.release_year]]}
csl = dict(
#id,
#categories
type=entity.release_type or "article", # XXX: can't be blank
language=entity.language,
#journalAbbreviation
#shortTitle
## see below for all contrib roles
#accessed
#container
#event-date
issued=issued_date,
#original-date
#submitted
abstract=abstract,
#annote
#archive
#archive_location
#archive-place
#authority
#call-number
#chapter-number
#citation-number
#citation-label
#collection-number
#collection-title
container_title=entity.container and entity.container.name,
#container-title-short
#dimensions
DOI=entity.doi,
#edition
#event
#event-place
#first-reference-note-number
#genre
ISBN=entity.isbn13,
ISSN=entity.container and entity.container.issnl,
issue=entity.issue,
#jurisdiction
#keyword
#locator
#medium
#note
#number
#number-of-pages
#number-of-volumes
#original-publisher
#original-publisher-place
#original-title
# XXX: page=entity.pages,
page_first=entity.pages.split('-')[0],
PMCID=entity.pmcid,
PMID=entity.pmid,
publisher=(entity.container and entity.container.publisher) or entity.publisher,
#publisher-place
#references
#reviewed-title
#scale
#section
#source
#status
title=entity.title,
#title-short
#URL
#version
volume=entity.volume,
#year-suffix
)
for role in ['author', 'collection-editor', 'composer', 'container-author',
'director', 'editor', 'editorial-director', 'interviewer',
'illustrator', 'original-author', 'recipient', 'reviewed-author',
'translator']:
cbr = contribs_by_role(contribs, role)
if cbr:
csl[role] = cbr
# underline-to-dash
csl['container-title'] = csl.pop('container_title')
csl['page-first'] = csl.pop('page_first')
empty_keys = [k for k,v in csl.items() if not v]
for k in empty_keys:
csl.pop(k)
return csl
def refs_to_csl(entity):
ret = []
for ref in entity.refs:
if ref.release_id and False:
# TODO: fetch full entity from API and convert with release_to_csl
raise NotImplementedError
else:
issued_date = None
if ref.year:
issued_date = [[ref.year]]
csl = dict(
title=ref.title,
issued=issued_date,
)
csl['id'] = ref.key or ref.index, # zero- or one-indexed?
ret.append(csl)
return ret
def changelog_to_elasticsearch(entity):
editgroup = entity.editgroup
t = dict(
index=entity.index,
editgroup_id=entity.editgroup_id,
timestamp=entity.timestamp,
editor_id=editgroup.editor_id,
)
extra = editgroup.extra or dict()
if extra.get('agent'):
t['agent'] = extra['agent']
t['containers'] = len(editgroup.edits.containers)
t['creators'] = len(editgroup.edits.containers)
t['files'] = len(editgroup.edits.containers)
t['filesets'] = len(editgroup.edits.containers)
t['webcaptures'] = len(editgroup.edits.containers)
t['releases'] = len(editgroup.edits.containers)
t['works'] = len(editgroup.edits.containers)
# TODO: parse and pull out counts
#created = 0
#updated = 0
#deleted = 0
#t['created'] = created
#t['updated'] = updated
#t['deleted'] = deleted
#t['total'] = created + updated + deleted
return t
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