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d16a207a83
* ruff: apply rule F * ruff: apply rule E * ruff: apply rule SIM * ruff: apply rule TCH * ruff: apply rule ERA * ruff: apply rule PLW * ruff: apply rule FLY * ruff: apply rule PERF * ruff: apply rules FURB & RUF
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from typing import Annotated
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from ninja import ModelSchema, Schema
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from pydantic import Field, NonNegativeInt, PositiveInt, TypeAdapter
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from pydantic_extra_types.phone_numbers import PhoneNumber, PhoneNumberValidator
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from counter.models import BillingInfo
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class PurchaseItemSchema(Schema):
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product_id: NonNegativeInt = Field(alias="id")
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name: str
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unit_price: float
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quantity: PositiveInt
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# The eboutic deals with data that is dict mixed with JSON.
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# Hence it would be a hassle to manage it with a proper Schema class,
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# and we use a TypeAdapter instead
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PurchaseItemList = TypeAdapter(list[PurchaseItemSchema])
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class BillingInfoSchema(ModelSchema):
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class Meta:
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model = BillingInfo
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fields = [
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"customer",
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"first_name",
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"last_name",
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"address_1",
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"address_2",
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"zip_code",
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"city",
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"country",
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]
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fields_optional = ["customer"]
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# for reasons described in the model, BillingInfo.phone_number
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# in nullable, but null values shouldn't be actually allowed,
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# so we force the field to be required
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phone_number: Annotated[PhoneNumber, PhoneNumberValidator(default_region="FR")]
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