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https://github.com/magnum-opus-tender-hack/backend.git
synced 2024-11-10 19:46:35 +03:00
added search fields highlight on search
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parent
da2b9e16d4
commit
0767c56197
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@ -14,6 +14,7 @@ from search.api.serializers import (
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AutoCompleteResponseSerializer,
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)
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from search.models import Product
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from search.services.colors import group
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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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@ -32,10 +33,13 @@ 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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process_search(
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group(
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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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serializer.data["limit"],
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serializer.data["offset"],
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),
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status=status.HTTP_200_OK,
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)
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@ -52,7 +52,7 @@ class Product(models.Model):
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id = models.IntegerField(
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"ID CTE", primary_key=True, unique=True, blank=False, null=False, db_index=True
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)
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name = models.TextField("Название CTE", unique=True, blank=False)
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name = models.TextField("Название CTE", blank=False)
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category = models.ForeignKey(
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Category, related_name="products", on_delete=models.CASCADE
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)
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49
app/search/services/colors.py
Normal file
49
app/search/services/colors.py
Normal file
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@ -0,0 +1,49 @@
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from typing import List, Dict
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def group(data: List[Dict], search_fields_d: List[Dict]) -> List[Dict]:
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search_fields = []
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search_fields_dict = []
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for x in search_fields_d:
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dat = dict(x)
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search_fields.append(dat["value"].lower())
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search_fields_dict.append(dat)
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re = {}
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n = 0
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for el in data:
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for field in search_fields:
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if field in el["name"].lower():
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if field in re:
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re[field].append((n, 0, el["name"].lower().index(field)))
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else:
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re[field] = []
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re[field].append(
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[x["type"] for x in search_fields_dict if x["value"] == field][
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0
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]
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)
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re[field].append((n, 0, el["name"].lower().index(field)))
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m = 1
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for char in el["characteristic"]:
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if field in str(char["value"]).lower():
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if field in re:
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re[field].append(
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(n, m, str(char["value"]).lower().index(field))
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)
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else:
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re[field] = []
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re[field].append(
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[
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x["type"]
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for x in search_fields_dict
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if x["value"].lower() == field
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][0]
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)
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re[field].append(
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(n, m, str(char["value"]).lower().index(field))
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)
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m += 1
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n += 1
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data += [re]
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return data
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@ -23,12 +23,10 @@ def load():
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def load_excel():
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df = pd.read_excel("data.xlsx", sheet_name="Запрос1")
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df = pd.read_excel("media/data.xlsx", sheet_name="Запрос1")
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for row in range(df.shape[0]):
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try:
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print(df.iat[row, 0], df.iat[row, 1], df.iat[row, 2])
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if Product.objects.filter(id=df.iat[row, 0]).exists():
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Product.objects.filter(id=df.iat[row, 0]).delete()
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product = Product(id=df.iat[row, 0])
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product.name = df.iat[row, 1]
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category = Category.objects.get_or_create(name=df.iat[row, 2])[0]
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@ -36,16 +34,35 @@ def load_excel():
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product.save()
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if df.iat[row, 4]:
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for cat in literal_eval(df.iat[row, 4]):
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try:
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if "Value" in cat:
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if "Unit" in cat:
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ProductUnitCharacteristic.objects.get_or_create(
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pr = ProductUnitCharacteristic.objects.get_or_create(
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characteristic=UnitCharacteristic.objects.get_or_create(
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name=cat["Name"],
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value=cat["Value"],
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unit=cat["Unit"],
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)[0],
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product=product,
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)[0]
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nums = re.findall(
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"[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?",
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cat["Value"],
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)
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if len(nums) == 1:
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pr.numeric_value_min = int(
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float(nums[0].replace(",", "."))
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)
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pr.numeric_value_max = int(
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float(nums[0].replace(",", "."))
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)
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pr.save()
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elif len(nums):
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nums = [int(float(x.replace(",", "."))) for x in nums]
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min_num = min(nums)
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max_num = max(nums)
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pr.numeric_value_min = min_num
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pr.numeric_value_max = max_num
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pr.save()
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else:
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ProductCharacteristic.objects.get_or_create(
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characteristic=Characteristic.objects.get_or_create(
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@ -53,13 +70,11 @@ def load_excel():
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)[0],
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product=product,
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)
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except KeyError:
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# Empty Value
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continue
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except BaseException:
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# malformed node or string: nan \ duplicate key
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print("СКОРОСШИВАТЕЛЬ")
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continue
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try:
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product.delete()
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except Exception:
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continue
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def process_unit_character():
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@ -57,7 +57,6 @@ def apply_qs_search(text: str):
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| Product.objects.filter(name__unaccent__icontains=word)
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)
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products = products.order_by("-score")
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print(products)
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return products
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