gault-millau/apps/search_indexes/serializers.py
2019-10-17 12:30:40 +03:00

117 lines
4.0 KiB
Python

"""Search indexes serializers."""
from rest_framework import serializers
from django_elasticsearch_dsl_drf.serializers import DocumentSerializer
from news.serializers import NewsTypeSerializer
from search_indexes.documents import EstablishmentDocument, NewsDocument
from search_indexes.utils import get_translated_value
class TagsDocumentSerializer(serializers.Serializer):
"""Tags serializer for ES Document."""
id = serializers.IntegerField()
label_translated = serializers.SerializerMethodField()
def get_label_translated(self, obj):
return get_translated_value(obj.label)
class AddressDocumentSerializer(serializers.Serializer):
"""Address serializer for ES Document."""
id = serializers.IntegerField()
street_name_1 = serializers.CharField()
street_name_2 = serializers.CharField()
number = serializers.IntegerField()
postal_code = serializers.CharField()
latitude = serializers.FloatField(allow_null=True, source='coordinates.lat')
longitude = serializers.FloatField(allow_null=True, source='coordinates.lon')
geo_lon = serializers.FloatField(allow_null=True, source='coordinates.lon')
geo_lat = serializers.FloatField(allow_null=True, source='coordinates.lat')
class NewsDocumentSerializer(DocumentSerializer):
"""News document serializer."""
title_translated = serializers.SerializerMethodField(allow_null=True)
subtitle_translated = serializers.SerializerMethodField(allow_null=True)
news_type = NewsTypeSerializer()
tags = TagsDocumentSerializer(many=True)
class Meta:
"""Meta class."""
document = NewsDocument
fields = (
'id',
'title_translated',
'subtitle_translated',
'is_highlighted',
'image_url',
'preview_image_url',
'news_type',
'tags',
'slug',
)
@staticmethod
def get_title_translated(obj):
return get_translated_value(obj.title)
@staticmethod
def get_subtitle_translated(obj):
return get_translated_value(obj.subtitle)
class EstablishmentDocumentSerializer(DocumentSerializer):
"""Establishment document serializer."""
address = AddressDocumentSerializer()
tags = TagsDocumentSerializer(many=True)
class Meta:
"""Meta class."""
document = EstablishmentDocument
fields = (
'id',
'name',
'name_translated',
'price_level',
'toque_number',
'public_mark',
'slug',
'preview_image',
'address',
'tags',
'works_noon',
'works_evening',
# 'collections',
# 'establishment_type',
# 'establishment_subtypes',
)
# def to_representation(self, instance):
# ret = super().to_representation(instance)
# dict_merge = lambda a, b: a.update(b) or a
#
# ret['tags'] = map(lambda tag: dict_merge(tag, {'label_translated': get_translated_value(tag.pop('label'))}),
# ret['tags'])
# ret['establishment_subtypes'] = map(
# lambda subtype: dict_merge(subtype, {'name_translated': get_translated_value(subtype.pop('name'))}),
# ret['establishment_subtypes'])
# if ret.get('establishment_type'):
# ret['establishment_type']['name_translated'] = get_translated_value(ret['establishment_type'].pop('name'))
# if ret.get('address'):
# ret['address']['city']['country']['name_translated'] = get_translated_value(
# ret['address']['city']['country'].pop('name'))
# location = ret['address'].pop('location')
# if location:
# ret['address']['geo_lon'] = location['lon']
# ret['address']['geo_lat'] = location['lat']
#
# ret['type'] = ret.pop('establishment_type')
# ret['subtypes'] = ret.pop('establishment_subtypes')
#
# return ret