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98f5ee4fca
Two fixes that unblock offline, no-database inspection over an arbitrary EPC dump: - Complete the harness sample catalogue with loft_insulation and solid_floor_insulation — the four fabric generators can emit five Measure Types, but the catalogue priced only three, so an offline run on a property with an uninsulated loft or solid floor raised mid-run. A new test pins the catalogue to cover every generator Measure Type. - Add `run_modelling(epc, ...)` — runs ONLY the Modelling stage (no Ingestion / Baseline), so it needs no lodged recorded-performance / RHI and inspects recommendations on any calculator-scorable EPC. `run_one` (full pipeline) stays for when you want Baseline too. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
"""The one-property console entrypoint for interactive sense-checking."""
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from __future__ import annotations
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import dataclasses
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import pytest
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from datatypes.epc.domain.epc import Epc
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from datatypes.epc.domain.epc_property_data import EpcPropertyData
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from harness.console import DEFAULT_CATALOGUE, run_modelling, run_one
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from repositories.product.product_json_repository import ProductJsonRepository
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from tests.domain.sap10_calculator.worksheet._elmhurst_worksheet_000490 import (
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build_epc as _build_uninsulated_cavity_and_floor_epc,
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)
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# Every Measure Type the four fabric generators can emit; the harness catalogue
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# must price all of them or an offline run raises mid-pipeline.
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_GENERATOR_MEASURE_TYPES = (
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"cavity_wall_insulation",
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"loft_insulation",
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"suspended_floor_insulation",
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"solid_floor_insulation",
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"mechanical_ventilation",
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)
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def _uninsulated_lodged_epc() -> EpcPropertyData:
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epc = _build_uninsulated_cavity_and_floor_epc()
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return dataclasses.replace(
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epc,
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energy_rating_current=57,
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current_energy_efficiency_band=Epc.D,
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co2_emissions_current=3.0,
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energy_consumption_current=300,
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)
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def test_run_one_returns_a_plan_and_prints_the_table(
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capsys: pytest.CaptureFixture[str],
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) -> None:
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# Arrange
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epc: EpcPropertyData = _uninsulated_lodged_epc()
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# Act — run one property end-to-end with no database, against the default
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# sample catalogue.
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plan = run_one(epc, goal_band="C")
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# Assert — a multi-measure Plan came back, and its sense-check table printed.
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assert len(plan.measures) >= 1
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printed: str = capsys.readouterr().out
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assert "Plan SAP" in printed
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assert "cavity_wall_insulation" in printed
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def test_run_modelling_inspects_a_plan_without_baseline_or_lodged_performance() -> None:
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# Arrange — the RAW 000490 fixture, with NO lodged recorded-performance, so
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# the Baseline stage could not run on it. Modelling re-scores the EPC itself.
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epc: EpcPropertyData = _build_uninsulated_cavity_and_floor_epc()
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# Act — Modelling only, no Ingestion / Baseline, no database.
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plan = run_modelling(epc, goal_band="C", print_table=False)
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# Assert — a multi-measure Plan came straight out of Modelling.
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assert len(plan.measures) >= 1
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def test_sample_catalogue_prices_every_generator_measure_type() -> None:
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# Arrange — the default offline catalogue.
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products: ProductJsonRepository = ProductJsonRepository(DEFAULT_CATALOGUE)
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# Act / Assert — get() raises if a Measure Type is unpriced, so an offline
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# run over arbitrary EPCs never dies on a missing catalogue entry.
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for measure_type in _GENERATOR_MEASURE_TYPES:
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products.get(measure_type)
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def test_run_one_threads_a_current_market_value_onto_the_plan() -> None:
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# Arrange
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epc: EpcPropertyData = _uninsulated_lodged_epc()
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# Act — supply a Property Valuation so the Plan can value the uplift.
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plan = run_one(
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epc, goal_band="C", current_market_value=250_000.0, print_table=False
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)
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# Assert — the value reached the Plan, which derives its Valuation Uplift
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# from it (the £ amount is 0 here as 000490 stays within band D).
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assert plan.current_market_value == 250_000.0
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assert plan.valuation.average_value is not None
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