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"""Support for subjects loaded from a SKOS/RDF file""" |
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import os.path |
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import shutil |
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import joblib |
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import rdflib |
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import rdflib.util |
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from rdflib.namespace import SKOS, RDF, OWL, RDFS |
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import annif.util |
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from .types import Subject, SubjectCorpus |
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View Code Duplication |
def serialize_subjects_to_skos(subjects, language, path): |
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"""Create a SKOS representation of the given subjects and serialize it |
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into a SKOS/Turtle file with the given path name.""" |
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graph = rdflib.Graph() |
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graph.namespace_manager.bind('skos', SKOS) |
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for subject in subjects: |
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graph.add((rdflib.URIRef(subject.uri), RDF.type, SKOS.Concept)) |
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graph.add((rdflib.URIRef(subject.uri), |
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SKOS.prefLabel, |
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rdflib.Literal(subject.label, language))) |
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graph.add((rdflib.URIRef(subject.uri), |
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SKOS.notation, |
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rdflib.Literal(subject.notation))) |
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graph.serialize(destination=path, format='turtle') |
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# also dump the graph in joblib format which is faster to load |
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annif.util.atomic_save(graph, |
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*os.path.split(path.replace('.ttl', '.dump.gz')), |
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method=joblib.dump) |
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View Code Duplication |
class SubjectFileSKOS(SubjectCorpus): |
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"""A subject corpus that uses SKOS files""" |
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PREF_LABEL_PROPERTIES = (SKOS.prefLabel, RDFS.label) |
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def __init__(self, path): |
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self.path = path |
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if path.endswith('.dump.gz'): |
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self.graph = joblib.load(path) |
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else: |
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self.graph = rdflib.Graph() |
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self.graph.parse(self.path, |
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format=rdflib.util.guess_format(self.path)) |
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@property |
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def languages(self): |
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langs = set() |
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for concept in self.concepts: |
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for label_type in self.PREF_LABEL_PROPERTIES: |
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for label in self.graph.objects(concept, label_type): |
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langs.add(label.language) |
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# return only real language tags, not None or '' |
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return list(filter(None, langs)) |
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def subjects(self, language): |
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for concept in self.concepts: |
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labels = self.get_concept_labels( |
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concept, self.PREF_LABEL_PROPERTIES, language) |
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# Use first label if available, else use qualified name (from URI) |
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label = (labels[0] if labels |
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else self.graph.namespace_manager.qname(concept)) |
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notation = self.graph.value(concept, SKOS.notation, None, any=True) |
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if notation is not None: |
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notation = str(notation) |
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yield Subject(uri=str(concept), label=label, notation=notation, |
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text=None) |
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@property |
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def concepts(self): |
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for concept in self.graph.subjects(RDF.type, SKOS.Concept): |
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if (concept, OWL.deprecated, rdflib.Literal(True)) in self.graph: |
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continue |
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yield concept |
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def get_concept_labels(self, concept, label_types, language): |
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all_labels = [label |
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for label_type in label_types |
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for label in self.graph.objects(concept, label_type)] |
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# 1. Labels with the correct language tag |
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same_lang_labels = [str(label) |
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for label in all_labels |
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if label.language == language] |
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# 2. Labels without a language tag |
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no_lang_labels = [str(label) |
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for label in all_labels |
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if label.language is None] |
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# Return both kinds, but better ones (with the right language) first |
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return same_lang_labels + no_lang_labels |
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@staticmethod |
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def is_rdf_file(path): |
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"""return True if the path looks like an RDF file that can be loaded |
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as SKOS""" |
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fmt = rdflib.util.guess_format(path) |
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return fmt is not None |
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def save_skos(self, path, language): |
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"""Save the contents of the subject vocabulary into a SKOS/Turtle |
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file with the given path name.""" |
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if self.path.endswith('.ttl'): |
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# input is already in Turtle syntax, no need to reserialize |
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if not os.path.exists(path) or \ |
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not os.path.samefile(self.path, path): |
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shutil.copyfile(self.path, path) |
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else: |
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# need to serialize into Turtle |
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self.graph.serialize(destination=path, format='turtle') |
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# also dump the graph in joblib format which is faster to load |
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annif.util.atomic_save(self.graph, |
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*os.path.split( |
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path.replace('.ttl', '.dump.gz')), |
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method=joblib.dump) |
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NatLibFi /
Annif
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