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26 lines
652 B
Python
26 lines
652 B
Python
from ast import literal_eval
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import pandas as pd
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from search.models import Product, Category
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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("data1.xlsx", sheet_name="Sheet1")
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for row in range(df.shape[0]):
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product = Product.objects.get_or_create(id=df.iat[row, 0])
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product.name = df.iat[row, 1]
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product.name = Category.objects.get_or_create(name=df.iat[row, 2])
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for cat in df.iat[row, 4]:
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pass
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