Kjell Tore Guttormsen
b57aa83a30
Completes Fase 0 (skeleton & decision-lock): - reference_domain.py + data/reference_projects.json: a synthetic "anleggskostnad" portfolio (3 fictional construction-cost projects with cost line items) as the framework's bundled reference input. Plain typed loader (frozen dataclasses); the JSON-Schema data-source *contract* (B5) is deliberately deferred to Fase 2. - backends.py: Profile (azure|local) + ChatBackend Protocol seam + AzureFoundryBackend/LocalBackend stubs + get_backend() selector (fail-fast on unknown profile). Empty skeleton per D2 — create_chat_client raises NotImplementedError until live wiring in Fase 1. Return type is the MAF BaseChatClient (the common base of FoundryChatClient/OpenAIChatClient). Quality gate green: ruff format + check, mypy (src) clean, 12 pytest passed. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H9FyyENxebxVThjrn9et8C
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""Tests for the synthetic reference domain (D4)."""
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import pytest
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from portfolio_optimiser.reference_domain import CostItem, Project, load_reference_projects
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@pytest.fixture(scope="module")
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def projects() -> tuple[Project, ...]:
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return load_reference_projects()
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def test_loads_non_empty(projects: tuple[Project, ...]) -> None:
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assert len(projects) >= 1
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def test_project_ids_unique(projects: tuple[Project, ...]) -> None:
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ids = [p.id for p in projects]
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assert len(ids) == len(set(ids))
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def test_every_project_well_formed(projects: tuple[Project, ...]) -> None:
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for p in projects:
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assert p.id and p.name and p.description
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assert p.currency == "NOK"
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assert len(p.cost_items) >= 1
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def test_cost_item_total_is_quantity_times_unit_cost() -> None:
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item = CostItem(code="X", description="d", quantity=4.0, unit="m2", unit_cost=215.0)
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assert item.total_cost == pytest.approx(860.0)
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def test_project_total_is_sum_of_items(projects: tuple[Project, ...]) -> None:
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for p in projects:
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expected = sum(item.total_cost for item in p.cost_items)
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assert p.total_cost == pytest.approx(expected)
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assert p.total_cost > 0
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