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Product(measure_type, unit_cost_per_m2, contingency_rate). ProductRepository is the DDD port abstracting the catalogue source; ProductPostgresRepository reads the externally-owned material table (defensive SQLModel view MaterialRow) and maps an active row to a Product — total_cost becomes the fully-loaded unit_cost_per_m2 — joining the per-measure-type contingency (contingencies.py, mirrors Costs.CONTINGENCIES; cavity 0.10). Strict-raise on missing/inactive row. A JSON-backed impl will follow behind the same port for ETL-gap costs. Two DB tests against an ephemeral Postgres (map active row; raise on inactive-only). Toward #1155 cost (4b). Also generalises the CONTEXT Simulation Overlay wording: windows are targeted by index, building-part association carried via window_location (_window_bp_index). pyright clean. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
24 lines
895 B
Python
24 lines
895 B
Python
from __future__ import annotations
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from typing import ClassVar, Optional
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from sqlmodel import Field, SQLModel
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class MaterialRow(SQLModel, table=True):
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"""Defensive view of the externally-owned ``material`` catalogue table.
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Declares only the columns the modelling backend reads to price a Measure
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Option; other columns (r-values, labour breakdowns, etc.) are left off so
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schema churn elsewhere doesn't ripple in. `total_cost` is the fully-loaded
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cost per the row's `cost_unit` (GBP/m^2 for fabric measures).
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"""
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__tablename__: ClassVar[str] = "material" # pyright: ignore[reportIncompatibleVariableOverride]
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id: int = Field(primary_key=True)
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type: str
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total_cost: Optional[float] = Field(default=None)
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cost_unit: Optional[str] = Field(default=None)
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description: Optional[str] = Field(default=None)
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is_active: bool = Field(default=True)
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