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https://github.com/magnum-opus-tender-hack/backend.git
synced 2024-11-24 02:03:47 +03:00
added queried search
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parent
bbcf4bd2a7
commit
beab74a4f4
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@ -60,6 +60,7 @@ DJANGO_APPS = [
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"django.contrib.humanize",
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"django.contrib.humanize",
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"django.contrib.admin",
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"django.contrib.admin",
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"django.forms",
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"django.forms",
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"django.contrib.postgres",
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]
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]
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THIRD_PARTY_APPS = ["rest_framework", "corsheaders", "drf_yasg"]
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THIRD_PARTY_APPS = ["rest_framework", "corsheaders", "drf_yasg"]
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@ -2,9 +2,19 @@ from rest_framework import serializers
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from django.core.validators import MinLengthValidator, MinValueValidator
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from django.core.validators import MinLengthValidator, MinValueValidator
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class QueryFilterSerializer(serializers.Serializer):
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value = serializers.CharField(max_length=100)
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type = serializers.CharField(max_length=100)
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def create(self, validated_data):
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raise NotImplementedError
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def update(self, instance, validated_data):
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raise NotImplementedError
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class SearchSerializer(serializers.Serializer):
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class SearchSerializer(serializers.Serializer):
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body = serializers.CharField(max_length=200)
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body = serializers.ListSerializer(child=QueryFilterSerializer())
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def create(self, validated_data):
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def create(self, validated_data):
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raise NotImplementedError
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raise NotImplementedError
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@ -5,47 +5,60 @@ from rest_framework.response import Response
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from rest_framework.views import APIView
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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
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from search.api.serializers import SearchSerializer, ResponseSerializer, HintResponseSerializer, AutoCompleteRequestSerializer, AutoCompleteResponseSerializer
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from search.api.serializers import (
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from search.services.search import process_string
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SearchSerializer,
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ResponseSerializer,
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HintResponseSerializer,
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AutoCompleteRequestSerializer,
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AutoCompleteResponseSerializer,
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)
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from search.services.search import process_search
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from search.services.autocomplete_schema import autocomplete_schema
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from search.services.autocomplete_schema import autocomplete_schema
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from search.services.hints import get_hints
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from search.services.hints import get_hints
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user_response = openapi.Response("search results", ResponseSerializer)
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user_response = openapi.Response("search results", ResponseSerializer)
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hint_response = openapi.Response("hints", HintResponseSerializer)
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hint_response = openapi.Response("hints", HintResponseSerializer)
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autocomplete_response = openapi.Response("autocomplete schema", AutoCompleteResponseSerializer)
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autocomplete_response = openapi.Response(
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"autocomplete schema", AutoCompleteResponseSerializer
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)
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class SearchApi(APIView):
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class SearchApi(APIView):
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@swagger_auto_schema(request_body=SearchSerializer, responses={200: user_response})
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@swagger_auto_schema(request_body=SearchSerializer, responses={200: user_response})
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def post(self, request, format=None):
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def post(self, request):
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serializer = SearchSerializer(data=request.data)
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serializer = SearchSerializer(data=request.data)
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serializer.is_valid(raise_exception=True)
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serializer.is_valid(raise_exception=True)
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return Response(
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return Response(
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process_string(serializer.data["body"]), status=status.HTTP_200_OK
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process_search(serializer.data["body"]), status=status.HTTP_200_OK
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)
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)
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class HintApi(APIView):
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class HintApi(APIView):
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@swagger_auto_schema(request_body=HintRequestSerializer, responses={200: hint_response})
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@swagger_auto_schema(
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def post(self, request, format=None):
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request_body=HintRequestSerializer, responses={200: hint_response}
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)
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def post(self, request):
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serializer = HintRequestSerializer(data=request.data)
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serializer = HintRequestSerializer(data=request.data)
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serializer.is_valid(raise_exception=True)
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serializer.is_valid(raise_exception=True)
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return Response(
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return Response(
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{
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{
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'type': get_hints(serializer.data['content']),
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"type": get_hints(serializer.data["content"]),
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'value': serializer.data['content']
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"value": serializer.data["content"],
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},
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},
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status=status.HTTP_200_OK
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status=status.HTTP_200_OK,
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)
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)
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class AutoCompleteApi(APIView):
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class AutoCompleteApi(APIView):
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@swagger_auto_schema(request_body=AutoCompleteRequestSerializer, responses={200: autocomplete_response})
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@swagger_auto_schema(
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def post(self, request, format=None):
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request_body=AutoCompleteRequestSerializer,
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responses={200: autocomplete_response},
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)
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def post(self, request):
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serializer = AutoCompleteRequestSerializer(data=request.data)
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serializer = AutoCompleteRequestSerializer(data=request.data)
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serializer.is_valid(raise_exception=True)
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serializer.is_valid(raise_exception=True)
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return Response(
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return Response(
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{
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{"nodes": autocomplete_schema(serializer.data["content"])},
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'nodes': autocomplete_schema(serializer.data['content'])
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status=status.HTTP_200_OK,
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}, status=status.HTTP_200_OK
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)
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)
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@ -49,6 +49,8 @@ class Product(models.Model):
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Category, related_name="products", on_delete=models.CASCADE
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Category, related_name="products", on_delete=models.CASCADE
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)
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)
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# score = models.IntegerField(default=0)
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def __str__(self):
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def __str__(self):
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return str(self.name)
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return str(self.name)
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@ -56,13 +58,17 @@ class Product(models.Model):
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return {
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return {
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"name": self.name,
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"name": self.name,
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"characteristic": [
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"characteristic": [
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x.serialize_self() for x in self.characteristics.objects.all()
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x.characteristic.serialize_self() for x in self.characteristics.all()
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]
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]
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+ [x.serialize_self() for x in self.unit_characteristics.objects.all()],
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+ [
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x.characteristic.serialize_self()
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for x in self.unit_characteristics.all()
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],
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}
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}
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class Meta:
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class Meta:
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db_table = "product"
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db_table = "product"
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# ordering = ["score"]
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class ProductCharacteristic(models.Model):
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class ProductCharacteristic(models.Model):
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@ -1,37 +1,38 @@
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from search.models import Product, Category, Characteristic
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from search.models import Product, Category, Characteristic
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def autocomplete_schema(val: str):
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def autocomplete_schema(val: str):
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schema = []
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schema = []
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schema.extend(
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schema.extend(
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[
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[
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{
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{
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'coordinate': product['name'].index(val),
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"coordinate": product["name"].index(val),
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'value': {
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"value": {
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'type': 'Name',
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"type": "Name",
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'value': product['name'],
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"value": product["name"],
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}
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},
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} for product in Product.objects.filter(name__contains=val).values('name')]
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}
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)
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for product in Product.objects.filter(name__contains=val).values("name")
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schema.extend(
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[
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{
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'coordinate': cat['name'].index(val),
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'value': {
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'type': 'Category',
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'value': cat['name']
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}
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} for cat in Category.objects.filter(name__contains=val).values('name')
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]
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]
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)
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)
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schema.extend(
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schema.extend(
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[
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[
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{
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{
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'coordinate': char.name.index(val),
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"coordinate": cat["name"].index(val),
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'value': {
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"value": {"type": "Category", "value": cat["name"]},
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'type': char.name,
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}
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'value': char.value
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for cat in Category.objects.filter(name__contains=val).values("name")
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}
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]
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} for char in Characteristic.objects.filter(name__contains=val).values('name', 'value')
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)
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schema.extend(
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[
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{
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"coordinate": char.name.index(val),
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"value": {"type": char.name, "value": char.value},
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}
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for char in Characteristic.objects.filter(name__contains=val).values(
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"name", "value"
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)
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]
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]
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)
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)
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return schema
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return schema
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@ -2,11 +2,11 @@ from search.models import Product, Category, Characteristic
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def get_hints(content: str) -> str:
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def get_hints(content: str) -> str:
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category = 'Unknown'
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category = "Unknown"
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if content in list(map(lambda product: product.name, Product.objects.all())):
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if content in list(map(lambda product: product.name, Product.objects.all())):
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category = 'Name'
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category = "Name"
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elif content in list(map(lambda category: category.name, Category.objects.all())):
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elif content in list(map(lambda category: category.name, Category.objects.all())):
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category = 'Category'
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category = "Category"
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elif content in list(map(lambda char: char.value, Characteristic.objects.all())):
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elif content in list(map(lambda char: char.value, Characteristic.objects.all())):
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category = Characteristic.objects.get(value=content).name
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category = Characteristic.objects.get(value=content).name
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return category
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return category
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@ -1,6 +1,44 @@
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from search.models import Product
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from search.models import Product, Characteristic, ProductCharacteristic
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from typing import List
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from typing import List
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def process_string(text: str) -> List[dict]:
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def process_search(data: List[dict]) -> List[dict]:
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return [x.serialize_self() for x in Product.objects.filter(name__contains=text)[5:]]
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prep_data = []
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prep_dict = {}
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prep_dict_char_type = {}
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for x in data:
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dat = dict(x)
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if x["type"] in ["Name", "Category", "Unknown"]:
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prep_data.append(dat)
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else:
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if x["type"] in list(prep_dict.keys()):
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prep_dict[x["type"]] = prep_dict[
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x["type"]
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] | ProductCharacteristic.objects.filter(
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characteristic__in=prep_dict_char_type[x["type"]],
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characteristic__value__unaccent__trigram_similar=x["value"],
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)
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else:
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prep_dict_char_type[x["type"]] = Characteristic.objects.filter(
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name__contains=x["type"]
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)
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prep_dict[x["type"]] = ProductCharacteristic.objects.filter(
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characteristic__in=prep_dict_char_type[x["type"]],
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characteristic__value__unaccent__trigram_similar=x["value"],
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)
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for el, val in prep_dict.items():
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prep_data.append({"type": el, "value": 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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val = x["value"]
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if typ == "Name":
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qs = qs.filter(name__unaccent__trigram_similar=val)
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elif typ == "Category":
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qs = qs.filter(category__name__unaccent__trigram_similar=val)
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elif typ == "Unknown":
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continue
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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[:5]]
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