Piotr Oleszczyk
c09acc7c81
Add ProductBase, ProductPublic, ProductWithInventory and SkinConditionSnapshotBase, SkinConditionSnapshotPublic. Table models now inherit from their Base counterpart and override JSON fields with sa_column. All field_serializer hacks removed; FastAPI response models use the non-table Public classes so Pydantic coerces raw DB dicts → typed models cleanly. ProductCreate and SnapshotCreate now simply inherit their respective Base classes. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
84 lines
3 KiB
Python
84 lines
3 KiB
Python
from __future__ import annotations
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from datetime import date, datetime
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from typing import ClassVar
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from uuid import UUID, uuid4
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from sqlalchemy import JSON, Column, UniqueConstraint
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from sqlmodel import Field, SQLModel
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from .base import utc_now
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from .domain import Domain
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from .enums import BarrierState, OverallSkinState, SkinConcern, SkinTrend, SkinType
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# ---------------------------------------------------------------------------
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# Base model (pure Python types, no sa_column, no id/created_at)
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# ---------------------------------------------------------------------------
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class SkinConditionSnapshotBase(SQLModel):
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snapshot_date: date
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overall_state: OverallSkinState | None = None
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trend: SkinTrend | None = None
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skin_type: SkinType | None = None
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# Metryki wizualne (1 = minimalne, 5 = maksymalne nasilenie)
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hydration_level: int | None = Field(default=None, ge=1, le=5)
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sebum_tzone: int | None = Field(default=None, ge=1, le=5)
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sebum_cheeks: int | None = Field(default=None, ge=1, le=5)
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sensitivity_level: int | None = Field(default=None, ge=1, le=5)
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barrier_state: BarrierState | None = None
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# Aktywne troski — podzbiór SkinConcern widoczny na zdjęciach lub wynikający z rutyny
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active_concerns: list[SkinConcern] = Field(default_factory=list)
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# Wolny tekst — LLM wypełnia na podstawie analizy
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risks: list[str] = Field(default_factory=list)
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priorities: list[str] = Field(default_factory=list)
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notes: str | None = None
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# ---------------------------------------------------------------------------
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# Table model
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# ---------------------------------------------------------------------------
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class SkinConditionSnapshot(SkinConditionSnapshotBase, table=True):
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"""
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Tygodniowy snapshot kondycji skóry wypełniany przez LLM na podstawie zdjęć
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i kontekstu rutyny. Wszystkie metryki numeryczne w skali 1–5.
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"""
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__tablename__ = "skin_condition_snapshots"
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__domains__: ClassVar[frozenset[Domain]] = frozenset({Domain.SKINCARE})
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__table_args__ = (UniqueConstraint("snapshot_date", name="uq_skin_snapshot_date"),)
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id: UUID = Field(default_factory=uuid4, primary_key=True)
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# Override: add index for table context
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snapshot_date: date = Field(index=True)
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# Override 3 JSON fields with sa_column (only in table model)
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active_concerns: list[SkinConcern] = Field(
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default_factory=list, sa_column=Column(JSON, nullable=False)
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)
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risks: list[str] = Field(
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default_factory=list, sa_column=Column(JSON, nullable=False)
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)
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priorities: list[str] = Field(
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default_factory=list, sa_column=Column(JSON, nullable=False)
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)
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created_at: datetime = Field(default_factory=utc_now, nullable=False)
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# ---------------------------------------------------------------------------
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# Public response model
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# ---------------------------------------------------------------------------
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class SkinConditionSnapshotPublic(SkinConditionSnapshotBase):
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id: UUID
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created_at: datetime
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