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): print(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): """ 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_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 t['is_oa'] = is_oa t['is_longtail_oa'] = is_longtail_oa t['in_kbart'] = in_kbart 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): """ 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'] = in_doaj t['in_road'] = in_road t['in_doi'] = in_doi t['in_sherpa_romeo'] = in_sherpa_romeo t['is_oa'] = in_doaj or in_road or is_longtail_oa or is_oa t['is_longtail_oa'] = is_longtail_oa t['any_kbart'] = any_kbart t['any_jstor'] = any_jstor t['any_ia_sim'] = bool(any_ia_sim) return t 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