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# standard imports
import typing
# bsie imports
from bsie.matcher import nodes
from bsie.utils import bsfs, ns
# inner-module imports
from .. import base
# exports
__all__: typing.Sequence[str] = (
'Iptc',
)
## code ##
class Iptc(base.Extractor):
"""Turn IPTC keywords into tags."""
CONTENT_READER = 'bsie.reader.exif.Iptc'
def __init__(self):
super().__init__(bsfs.schema.from_string(base.SCHEMA_PREAMBLE + '''
bsn:Tag rdfs:subClassOf bsfs:Node .
bse:tag rdfs:subClassOf bsfs:Predicate ;
rdfs:domain bsn:Entity ;
rdfs:range bsn:Tag .
<https://schema.bsfs.io/ie/Node/Tag#label> rdfs:subClassOf bsfs:Predicate ;
rdfs:domain bsn:Tag ;
rdfs:range xsd:string ;
bsfs:unique "true"^^xsd:boolean .
'''))
self._callmap = {
self.schema.predicate(ns.bse.tag): self._keywords,
}
def extract(
self,
subject: nodes.Entity,
content: dict,
principals: typing.Iterable[bsfs.schema.Predicate],
) -> typing.Iterator[typing.Tuple[nodes.Node, bsfs.schema.Predicate, typing.Any]]:
for pred in principals:
# find callback
clbk = self._callmap.get(pred)
if clbk is None:
continue
# produce triples
yield from clbk(subject, content)
def _keywords(
self,
subject: nodes.Entity,
content: dict,
) -> typing.Iterator[typing.Tuple[nodes.Node, bsfs.schema.Predicate, typing.Any]]:
if 'Iptc.Application2.Keywords' not in content:
return
for keyword in content['Iptc.Application2.Keywords']:
tag = nodes.Tag(label=keyword)
yield subject, self.schema.predicate(ns.bse.tag), tag
yield tag, self.schema.predicate(ns.bst.label), keyword
## EOF ##
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