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31da90f5eb
Expand half of the recommendation_materials retirement (ADR-0017). A Plan Measure installs a single Product, so thread its catalogue id end to end — Product.id -> MeasureOption.material_id -> PlanMeasure.material_id -> recommendation.material_id — replacing the per-material BOM child table with one nullable column on the row. ProductPostgresRepository reads the id from MaterialRow; the four fabric generators set it on their Option; the orchestrator carries it onto the Plan Measure; the mirror declares + maps the column. Optional throughout (the JSON stopgap catalogue carries no ids -> NULL). The multi-measure integration test now pins each persisted measure's material_id to its seeded MaterialRow id. Migration spec (live column must be added before this deploys; contraction is the owner's next step) in docs/migrations/recommendation-material-id.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
from __future__ import annotations
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from sqlmodel import Session, col, select
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from domain.modelling.contingencies import contingency_rate
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from domain.modelling.product import Product
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from infrastructure.postgres.product_table import MaterialRow
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from repositories.product.product_repository import ProductRepository
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class ProductPostgresRepository(ProductRepository):
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"""Reads the ``material`` catalogue table and maps an active row to a
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Product: `total_cost` becomes the fully-loaded `unit_cost_per_m2`, and the
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per-Measure-Type contingency is joined from config."""
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def __init__(self, session: Session) -> None:
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self._session = session
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def get(self, measure_type: str) -> Product:
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row: MaterialRow | None = self._session.exec(
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select(MaterialRow).where(
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col(MaterialRow.type) == measure_type,
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col(MaterialRow.is_active).is_(True),
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)
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).first()
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if row is None:
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raise ValueError(f"no active product for measure type {measure_type!r}")
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if row.total_cost is None:
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raise ValueError(f"product {measure_type!r} has no total_cost")
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return Product(
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measure_type=measure_type,
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unit_cost_per_m2=row.total_cost,
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contingency_rate=contingency_rate(measure_type),
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id=row.id,
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)
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