83 lines
2.2 KiB
Python
83 lines
2.2 KiB
Python
from django_elasticsearch_dsl import Document, Index, fields
|
|
from elasticsearch_dsl import analyzer, token_filter, tokenizer
|
|
|
|
from .models import AvisLieu, AvisStage, Stage
|
|
from .statics import PAYS_OPTIONS
|
|
|
|
PAYS_DICT = dict(PAYS_OPTIONS)
|
|
|
|
stage = Index("stages")
|
|
stage.settings(number_of_shards=1, number_of_replicas=0)
|
|
|
|
text_analyzer = analyzer(
|
|
"default",
|
|
tokenizer="standard",
|
|
filter=[
|
|
"lowercase",
|
|
"asciifolding",
|
|
token_filter("frstop", type="stop", stopwords="_french_"),
|
|
token_filter("frsnow", type="snowball", language="French"),
|
|
],
|
|
)
|
|
stage.analyzer(text_analyzer)
|
|
|
|
|
|
@stage.doc_type
|
|
class StageDocument(Document):
|
|
lieux = fields.ObjectField(
|
|
properties={
|
|
"nom": fields.TextField(),
|
|
"ville": fields.TextField(),
|
|
"pays": fields.TextField(),
|
|
}
|
|
)
|
|
auteur = fields.ObjectField(
|
|
properties={
|
|
"nom": fields.TextField(),
|
|
}
|
|
)
|
|
thematiques = fields.TextField()
|
|
matieres = fields.TextField()
|
|
|
|
class Django:
|
|
model = Stage
|
|
fields = [
|
|
"sujet",
|
|
"encadrants",
|
|
"type_stage",
|
|
"niveau_scol",
|
|
"structure",
|
|
"date_debut",
|
|
"date_fin",
|
|
]
|
|
|
|
def prepare_thematiques(self, instance):
|
|
return ", ".join(
|
|
instance.thematiques.all().values_list("name", flat=True)
|
|
).lower()
|
|
|
|
def prepare_matieres(self, instance):
|
|
return ", ".join(instance.matieres.all().values_list("nom", flat=True)).lower()
|
|
|
|
def prepare_niveau_scol(self, instance):
|
|
return instance.get_niveau_scol_display().lower()
|
|
|
|
def prepare_type_stage(self, instance):
|
|
return instance.type_stage_fancy.lower()
|
|
|
|
def prepare_date_fin(self, instance):
|
|
return instance.date_fin.year
|
|
|
|
def prepare_date_debut(self, instance):
|
|
return instance.date_debut.year
|
|
|
|
def prepare_sujet(self, instance):
|
|
return instance.sujet.lower()
|
|
|
|
# Hook pour l'affichage des noms de pays
|
|
def prepare(self, instance):
|
|
data = super(StageDocument, self).prepare(instance)
|
|
|
|
for lieu in data["lieux"]:
|
|
lieu["pays"] = PAYS_DICT[lieu["pays"]].lower()
|
|
return data
|