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https://github.com/magnum-opus-tender-hack/backend.git
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76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
import re
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from ast import literal_eval
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import pandas as pd
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from search.models import (
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Product,
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Category,
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UnitCharacteristic,
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ProductUnitCharacteristic,
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ProductCharacteristic,
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Characteristic,
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)
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def load():
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with open("data.json", "r", encoding="utf-16") as f:
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data = literal_eval(f.read())
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for el in data:
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Product.objects.get_or_create(id=el)
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print(el["characteristic"])
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def load_excel():
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df = pd.read_excel("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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product.category = category
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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 "Unit" in cat:
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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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)
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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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name=cat["Name"], value=cat["Value"]
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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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def process_unit_character():
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for el in UnitCharacteristic.objects.all():
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nums = re.findall("[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?", el.value)
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if len(nums) != 1:
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el.delete()
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else:
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try:
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el.numeric_value = int(float(nums[0].replace(",", ".")))
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el.save()
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except ValueError:
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el.delete()
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