129 lines
4.3 KiB
Python
129 lines
4.3 KiB
Python
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from __future__ import annotations
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from datetime import date, datetime
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from typing import Literal
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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QuantityType = Literal["bags", "kg"]
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class ThroughputProductBase(BaseModel):
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model_config = ConfigDict(extra="forbid")
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item_id: str | None = Field(default=None, max_length=64)
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name: str = Field(min_length=1, max_length=255)
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default_bag_size: float | None = Field(default=None, ge=0)
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is_bulka_default: bool = False
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active: bool = True
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is_stock_item: bool = True
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notes: str | None = Field(default=None, max_length=2000)
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class ThroughputProductCreate(ThroughputProductBase):
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pass
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class ThroughputProductUpdate(BaseModel):
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model_config = ConfigDict(extra="forbid")
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item_id: str | None = Field(default=None, max_length=64)
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name: str | None = Field(default=None, min_length=1, max_length=255)
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default_bag_size: float | None = Field(default=None, ge=0)
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is_bulka_default: bool | None = None
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active: bool | None = None
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is_stock_item: bool | None = None
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notes: str | None = Field(default=None, max_length=2000)
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class ThroughputProductRead(ThroughputProductBase):
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id: int
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tenant_id: str
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created_at: datetime
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updated_at: datetime
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model_config = ConfigDict(from_attributes=True)
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class ThroughputEntryBase(BaseModel):
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model_config = ConfigDict(extra="forbid")
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production_date: date
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product_id: int | None = None
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product_name_snapshot: str | None = Field(default=None, max_length=255)
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bag_size: float | None = Field(default=None, ge=0)
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scales_checked: bool = True
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label_correct: bool = True
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bag_sealed: bool = True
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pallet_good_condition: bool = True
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sample_box_no: str | None = Field(default=None, max_length=64)
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test_weight_1: float | None = Field(default=None, ge=0)
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test_weight_2: float | None = Field(default=None, ge=0)
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test_weight_3: float | None = Field(default=None, ge=0)
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test_weight_4: float | None = Field(default=None, ge=0)
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test_weight_5: float | None = Field(default=None, ge=0)
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quantity: float = Field(ge=0)
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quantity_type: QuantityType = "bags"
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staff_name: str | None = Field(default=None, max_length=255)
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notes: str | None = Field(default=None, max_length=2000)
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@field_validator("staff_name")
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@classmethod
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def _normalize_staff(cls, value: str | None) -> str | None:
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if value is None:
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return None
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stripped = value.strip()
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return stripped or None
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class ThroughputEntryCreate(ThroughputEntryBase):
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pass
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class ThroughputEntryUpdate(BaseModel):
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model_config = ConfigDict(extra="forbid")
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production_date: date | None = None
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product_id: int | None = None
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product_name_snapshot: str | None = Field(default=None, max_length=255)
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bag_size: float | None = Field(default=None, ge=0)
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scales_checked: bool | None = None
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label_correct: bool | None = None
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bag_sealed: bool | None = None
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pallet_good_condition: bool | None = None
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sample_box_no: str | None = Field(default=None, max_length=64)
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test_weight_1: float | None = Field(default=None, ge=0)
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test_weight_2: float | None = Field(default=None, ge=0)
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test_weight_3: float | None = Field(default=None, ge=0)
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test_weight_4: float | None = Field(default=None, ge=0)
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test_weight_5: float | None = Field(default=None, ge=0)
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quantity: float | None = Field(default=None, ge=0)
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quantity_type: QuantityType | None = None
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staff_name: str | None = Field(default=None, max_length=255)
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notes: str | None = Field(default=None, max_length=2000)
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class ThroughputEntryRead(BaseModel):
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id: int
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tenant_id: str
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production_date: date
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product_id: int | None
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product_name_snapshot: str
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bag_size: float | None
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scales_checked: bool
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label_correct: bool
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bag_sealed: bool
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pallet_good_condition: bool
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sample_box_no: str | None
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test_weight_1: float | None
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test_weight_2: float | None
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test_weight_3: float | None
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test_weight_4: float | None
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test_weight_5: float | None
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quantity: float
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quantity_type: QuantityType
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calculated_kg: float
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staff_name: str | None
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notes: str | None
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qa_passed: bool
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created_by: str | None
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created_at: datetime
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updated_at: datetime
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model_config = ConfigDict(from_attributes=True)
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