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https://github.com/magnum-opus-tender-hack/backend.git
synced 2024-11-10 19:46:35 +03:00
optimised search result
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parent
fc0049d816
commit
1817656adc
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@ -1,6 +1,8 @@
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from rest_framework import serializers
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from django.core.validators import MinLengthValidator, MinValueValidator
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from search.models import Product, UnitCharacteristic, Characteristic
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class QueryFilterSerializer(serializers.Serializer):
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value = serializers.CharField(max_length=100)
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@ -86,3 +88,38 @@ class AutoCompleteResponseSerializer(serializers.Serializer):
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def update(self, instance, validated_data):
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raise NotImplementedError
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class CharacteristicSerializer(serializers.ModelSerializer):
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class Meta:
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fields = ["name", "value"]
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model = Characteristic
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class UnitCharacteristicSerializer(serializers.ModelSerializer):
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value = serializers.SerializerMethodField("get_value_n")
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def get_value_n(self, obj):
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return obj.num_value
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class Meta:
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fields = ["name", "value", "unit"]
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model = UnitCharacteristic
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class ProductSerializer(serializers.ModelSerializer):
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characteristic = serializers.SerializerMethodField("get_characteristic_n")
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def get_characteristic_n(self, obj: Product):
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return (
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CharacteristicSerializer(
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Characteristic.objects.filter(products__product=obj), many=True
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).data
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+ UnitCharacteristicSerializer(
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UnitCharacteristic.objects.filter(products__product=obj), many=True
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).data
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)
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class Meta:
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fields = ["id", "name", "score", "characteristic"]
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model = Product
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@ -4,7 +4,7 @@ from rest_framework import status
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from rest_framework.generics import get_object_or_404
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from rest_framework.response import Response
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from rest_framework.views import APIView
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from search.api.serializers import HintRequestSerializer
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from search.api.serializers import HintRequestSerializer, ProductSerializer
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from search.api.serializers import (
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SearchSerializer,
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@ -33,14 +33,14 @@ class SearchApi(APIView):
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serializer = SearchSerializer(data=request.data)
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serializer.is_valid(raise_exception=True)
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return Response(
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group(
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ProductSerializer(
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process_search(
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serializer.data["body"],
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serializer.data["limit"],
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serializer.data["offset"],
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),
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serializer.data["body"],
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),
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many=True,
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).data,
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status=status.HTTP_200_OK,
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)
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@ -34,6 +34,14 @@ class UnitCharacteristic(models.Model):
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"unit": self.unit,
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}
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@property
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def num_value(self):
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return (
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self.numeric_value_min
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if self.numeric_value_min == self.numeric_value_max
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else f"{self.numeric_value_min}:{self.numeric_value_max}"
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)
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class Meta:
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db_table = "unit_characteristic"
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@ -10,9 +10,29 @@ from search.services.search.prepare import apply_union
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from search.models import Product
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def process_search(data: List[dict], limit=5, offset=0) -> List[dict]:
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prep_data = apply_union(data)
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# ----------------------------------- apply filters on QuerySet -------------------------------------------------- #
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def call(prep_data):
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if len(prep_data) == 1:
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typ = prep_data[0]["type"]
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val = prep_data[0]["value"]
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if typ == "Name":
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return apply_qs_search(val).order_by("-score")
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elif typ == "All":
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return apply_all_qs_search(val).order_by("-score")
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elif typ == "Category":
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return Product.objects.filter(category__name__icontains=val).order_by(
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"-score"
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)
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elif typ == "Characteristic":
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return appy_qs_characteristic(Product.objects.filter(), val).order_by(
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"-score"
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)
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elif typ == "Unknown":
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return []
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else:
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if typ.startswith("*"):
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return Product.objects.filter(unit_characteristics__in=val)
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else:
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return Product.objects.filter(characteristics__in=val)
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qs = Product.objects.filter()
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for x in prep_data:
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typ = x["type"]
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@ -35,4 +55,9 @@ def process_search(data: List[dict], limit=5, offset=0) -> List[dict]:
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qs = qs.filter(unit_characteristics__in=val)
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else:
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qs = qs.filter(characteristics__in=val)
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return [x.serialize_self() for x in qs.distinct()[offset : offset + limit]]
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return []
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def process_search(body: List[dict], limit=5, offset=0) -> List[dict]:
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prep_data = apply_union(body)
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return call(prep_data)[offset : offset + limit]
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@ -1,8 +1,5 @@
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from functools import cache
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from typing import List
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from django.utils.text import slugify
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from search.models import (
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Product,
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ProductCharacteristic,
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@ -12,15 +9,20 @@ from search.services.spell_check import pos, spell_check
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def _clean_text(text: str) -> List[str]:
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for st in [".", ",", "!", "?"]:
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text = text.replace(st, " ")
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text = text.split()
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functors_pos = {"INTJ", "PRCL", "CONJ", "PREP"} # function words
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text = [word for word in text if pos(word) not in functors_pos]
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return [spell_check(x) for x in text]
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text = [spell_check(x) for x in text]
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return text
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@cache
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def process_unit_operation(unit: ProductUnitCharacteristic.objects, operation: str):
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if operation.startswith("<=") or operation.startswith("=<"):
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return unit.filter(
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@ -46,7 +48,6 @@ def process_unit_operation(unit: ProductUnitCharacteristic.objects, operation: s
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return unit
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@cache
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def apply_qs_search(text: str):
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text = _clean_text(text)
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qs = Product.objects.filter()
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@ -58,7 +59,6 @@ def apply_qs_search(text: str):
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return products
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@cache
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def apply_all_qs_search(text: str):
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# words
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text = _clean_text(text)
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@ -103,16 +103,22 @@ def apply_all_qs_search(text: str):
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del text[i]
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break
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if u_qs:
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prod = Product.objects.filter(unit_characteristics__in=u_qs)
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else:
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prod = Product.objects.filter()
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for word in text:
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car = ProductCharacteristic.objects.filter(
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characteristic__value__icontains=word,
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) | ProductCharacteristic.objects.filter(
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characteristic__value__trigram_similar=word,
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)
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qs = (
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Product.objects.filter(name__icontains=word)
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| Product.objects.filter(name__trigram_similar=word)
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| Product.objects.filter(category__name__icontains=word)
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| Product.objects.filter(characteristics__in=car)
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| Product.objects.filter(category__name__icontains=word)
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| Product.objects.filter(name__trigram_similar=word)
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)
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if any(
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x in word
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@ -126,22 +132,16 @@ def apply_all_qs_search(text: str):
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)
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)
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)
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print(qs)
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prod = prod & qs
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if u_qs:
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prod = prod & Product.objects.filter(unit_characteristics__in=u_qs)
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return prod
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@cache
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def apply_qs_category(qs, name: str):
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qs = qs.filter(category__name__icontains=name)
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return qs
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@cache
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def appy_qs_characteristic(qs, name: str):
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char = ProductCharacteristic.objects.filter(product__in=qs)
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char = char.filter(characteristic__value__icontains=name) | char.filter(
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@ -27,9 +27,7 @@ def apply_union(data: List[Dict]) -> List[Dict]:
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prep_data.append(
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{
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"type": dat["type"],
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"value": spell_check(
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dat["value"],
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),
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"value": dat["value"],
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}
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)
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elif x["type"] == "Unknown":
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@ -5,7 +5,7 @@ speller_ru = SpellChecker(language="ru")
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speller_eng = SpellChecker(language="en")
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def spell_check_ru(word: str) -> str:
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def spell_check(word: str) -> str:
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res = speller_ru.correction(word)
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if not res or not len(res):
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return word
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