47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
from django_elasticsearch_dsl import DocType, Index, fields
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from elasticsearch_dsl import analyzer, token_filter, tokenizer
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from .models import Stage, AvisStage, AvisLieu
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stage = Index('stages')
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stage.settings(
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number_of_shards=1,
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number_of_replicas=0
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)
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text_analyzer = analyzer(
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'texte',
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tokenizer="standard",
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filters=['lowercase', 'standard', 'asciifolding',
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token_filter("frsnow", type="snowball", language="French")])
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stage.analyzer(text_analyzer)
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@stage.doc_type
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class StageDocument(DocType):
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lieux = fields.ObjectField(properties={
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'nom': fields.StringField(),
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'pays': fields.StringField(),
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})
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thematiques = fields.StringField()
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matieres = fields.StringField()
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class Meta:
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model = Stage
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fields = [
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'sujet',
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'encadrants',
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'type_stage',
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'niveau_scol',
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'structure'
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]
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def prepare_thematiques(self, instance):
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return ", ".join(instance.thematiques.all().values_list("name", flat=True))
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def prepare_matieres(self, instance):
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return ", ".join(instance.matieres.all().values_list("nom", flat=True))
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def prepare_niveau_scol(self, instance):
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return instance.get_niveau_scol_display()
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def prepare_type_stage(self, instance):
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return instance.type_stage_fancy
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