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Slice S0380.129: heating-systems corpus residual-pin regression guard
The 001431 corpus at `sap worksheets/heating systems examples/` now
has a permanent test module pinning cascade-vs-worksheet residuals
across all 41 populated heating-system variants. The corpus is a
controlled-variable test set — same dwelling (semi-detached, TFA 90 m²,
age G, W6 9BF, Elmhurst P960 worksheet format) under different heating
configurations — so every cascade-vs-worksheet residual is fully
attributable to the heating subsystem.
`test_heating_systems_corpus_residual_matches_pin` is parametrised by
variant folder name. Per variant it:
1. Extracts Block 11a (individual) or Block 11b (community) pins
from the P960 PDF — continuous SAP (`SAP value` row), total fuel
cost (255)/(355), CO2 (272/372/382/383), PE (286/386/486/483).
2. Routes the Summary PDF through ElmhurstSiteNotesExtractor →
EpcPropertyDataMapper.from_elmhurst_site_notes → cert_to_inputs
→ calculate_sap_from_inputs.
3. Asserts each of the four cascade outputs sits within an absolute
tolerance of the pinned residual.
Tolerances are tight (SAP ±0.001, cost ±£0.01, CO2 ±0.1 kg/yr, PE
±0.1 kWh/yr) — the *expected residual* moves toward 0 as heating-
cascade gaps close; the *tolerance* never widens. Per
[[feedback-zero-error-strict]] + [[feedback-golden-residuals-near-zero]].
Pins captured at HEAD `729ee29c` (post-S0380.128). All 41 pass.
Smallest residual: `solid fuel 8` +0.87 SAP / −£20 cost (closest to
closure). First negative ΔSAP: `community heating 6` −6.87 SAP / +£158
cost (heat-pump heat network — only variant where cascade UNDERshoots
the worksheet).
Extended handover suite at HEAD post-slice: **873 pass, 0 fail**
(was 832 + 41 new parametrised cases).
Pyright net-zero on new file (0 → 0).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Khalim Conn-Kowlessar
parent
729ee29c84
commit
82b8a16b40
1 changed files with 281 additions and 0 deletions
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backend/documents_parser/tests/test_heating_systems_corpus.py
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backend/documents_parser/tests/test_heating_systems_corpus.py
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"""Heating-systems corpus residual pins — same property × heating variants.
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The fixtures at `sap worksheets/heating systems examples/` lodge the same
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dwelling (Reference 001431, semi-detached, TFA 90 m², age G 1983-1990,
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W6 9BF) under 41 distinct heating-system configurations. With the
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envelope held constant, every cascade-vs-worksheet residual between two
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variants is fully attributable to the heating subsystem — that's the
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controlled-variable signal this corpus was built to exercise.
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Per variant we extract Block 11a (individual heating) or Block 11b
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(community heating) pins from the P960 worksheet PDF, route the Summary
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PDF through `ElmhurstSiteNotesExtractor` → `from_elmhurst_site_notes` →
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`cert_to_inputs` → `calculate_sap_from_inputs`, and assert each of the
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four published outputs (continuous SAP, total fuel cost, CO2, PE)
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matches its pinned residual within a tight absolute tolerance.
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Residuals are non-zero today: the cascade overshoots most variants by
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+1..+30 SAP points (with `community heating 6` undershooting at −6.87,
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the lone HP-fed heat-network shape). As heating-cascade gaps close the
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expected residuals shrink toward 0; the per-pin absolute tolerance
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stays tight so any drift fires loudly. Per
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[[feedback-golden-residuals-near-zero]] + [[feedback-zero-error-strict]]:
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re-pin tighter when a slice closes a gap, never widen the tolerance.
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Each Summary PDF is parsed via the same `pdftotext -layout` →
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Textract-style preprocessing the rest of the chain tests use.
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"""
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from __future__ import annotations
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import re
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import subprocess
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from dataclasses import dataclass
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from pathlib import Path
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import pytest
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from backend.documents_parser.elmhurst_extractor import ElmhurstSiteNotesExtractor
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from datatypes.epc.domain.mapper import EpcPropertyDataMapper
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from domain.sap10_calculator.calculator import calculate_sap_from_inputs
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from domain.sap10_calculator.rdsap.cert_to_inputs import (
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SAP_10_2_SPEC_PRICES,
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cert_to_inputs,
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)
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_CORPUS_ROOT = (
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Path(__file__).parents[3]
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/ "sap worksheets/heating systems examples"
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)
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# Per-pin absolute tolerances. Worksheet `SAP value` lodges 4 d.p.,
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# (255) total fuel cost 4 d.p., (272) total CO2 4 d.p., (286) Total
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# Primary energy kWh/year 4 d.p. — pin at 1e-4 relative to lodged
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# precision so any drift outside cascade float noise fires.
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_SAP_RESID_ABS_TOLERANCE = 0.001
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_COST_RESID_ABS_TOLERANCE_GBP = 0.01
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_CO2_RESID_ABS_TOLERANCE_KG = 0.1
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_PE_RESID_ABS_TOLERANCE_KWH = 0.1
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@dataclass(frozen=True)
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class _CorpusExpectation:
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"""Pinned residuals (cascade − worksheet) per heating-system variant."""
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variant: str
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block: str # "11a" individual, "11b" community
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expected_sap_resid: float
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expected_cost_resid_gbp: float
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expected_co2_resid_kg: float
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expected_pe_resid_kwh: float
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# Captured at HEAD `729ee29c` (post-S0380.128). All 41 populated
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# fixtures cascade-execute; the residuals below are the current
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# cascade-vs-worksheet diff per variant. Closures land by re-pinning
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# the smaller expected residual.
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_EXPECTATIONS: tuple[_CorpusExpectation, ...] = (
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_CorpusExpectation(variant='ashp', block='11a', expected_sap_resid=+5.6680, expected_cost_resid_gbp=-130.5995, expected_co2_resid_kg=-1.4283, expected_pe_resid_kwh=+1467.8983),
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_CorpusExpectation(variant='community heating 1', block='11b', expected_sap_resid=+4.1830, expected_cost_resid_gbp=-96.3816, expected_co2_resid_kg=-786.6453, expected_pe_resid_kwh=-940.7364),
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_CorpusExpectation(variant='community heating 2', block='11b', expected_sap_resid=+1.1558, expected_cost_resid_gbp=-26.6309, expected_co2_resid_kg=-498.3058, expected_pe_resid_kwh=+636.7545),
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_CorpusExpectation(variant='community heating 3', block='11b', expected_sap_resid=+4.1830, expected_cost_resid_gbp=-96.3816, expected_co2_resid_kg=+2545.7991, expected_pe_resid_kwh=+11009.4778),
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_CorpusExpectation(variant='community heating 4', block='11b', expected_sap_resid=+1.1558, expected_cost_resid_gbp=-26.6309, expected_co2_resid_kg=-3465.0640, expected_pe_resid_kwh=-374.6720),
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_CorpusExpectation(variant='community heating 6', block='11b', expected_sap_resid=-6.8661, expected_cost_resid_gbp=+158.2067, expected_co2_resid_kg=-2002.8867, expected_pe_resid_kwh=+6995.3140),
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_CorpusExpectation(variant='electric 1', block='11a', expected_sap_resid=+9.6439, expected_cost_resid_gbp=-222.2109, expected_co2_resid_kg=+14.3441, expected_pe_resid_kwh=+2837.1414),
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_CorpusExpectation(variant='electric 11', block='11a', expected_sap_resid=+18.1002, expected_cost_resid_gbp=-417.0547, expected_co2_resid_kg=+579.6971, expected_pe_resid_kwh=-1067.1863),
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_CorpusExpectation(variant='electric 12', block='11a', expected_sap_resid=+15.4249, expected_cost_resid_gbp=-355.4117, expected_co2_resid_kg=+620.4563, expected_pe_resid_kwh=-467.5748),
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_CorpusExpectation(variant='electric 13', block='11a', expected_sap_resid=+18.3886, expected_cost_resid_gbp=-423.7001, expected_co2_resid_kg=+619.3628, expected_pe_resid_kwh=-1129.2285),
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_CorpusExpectation(variant='electric 14', block='11a', expected_sap_resid=+18.3886, expected_cost_resid_gbp=-423.7001, expected_co2_resid_kg=+619.3628, expected_pe_resid_kwh=-1129.2285),
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_CorpusExpectation(variant='electric 2', block='11a', expected_sap_resid=+5.8523, expected_cost_resid_gbp=-134.8455, expected_co2_resid_kg=+94.4364, expected_pe_resid_kwh=+2420.9013),
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_CorpusExpectation(variant='electric 3', block='11a', expected_sap_resid=+14.6973, expected_cost_resid_gbp=-338.6485, expected_co2_resid_kg=-379.1296, expected_pe_resid_kwh=-850.9293),
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_CorpusExpectation(variant='electric 5', block='11a', expected_sap_resid=+10.9720, expected_cost_resid_gbp=-252.8131, expected_co2_resid_kg=-218.5642, expected_pe_resid_kwh=+540.3309),
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_CorpusExpectation(variant='electric 6', block='11a', expected_sap_resid=+10.9720, expected_cost_resid_gbp=-252.8131, expected_co2_resid_kg=-209.8689, expected_pe_resid_kwh=+568.4500),
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_CorpusExpectation(variant='electric 7', block='11a', expected_sap_resid=+9.6834, expected_cost_resid_gbp=-223.1212, expected_co2_resid_kg=-137.9832, expected_pe_resid_kwh=+1061.3307),
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_CorpusExpectation(variant='electric 8', block='11a', expected_sap_resid=+6.8875, expected_cost_resid_gbp=-158.6999, expected_co2_resid_kg=-34.9564, expected_pe_resid_kwh=+2113.8303),
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_CorpusExpectation(variant='electric 9', block='11a', expected_sap_resid=+12.0340, expected_cost_resid_gbp=-277.2813, expected_co2_resid_kg=-255.6076, expected_pe_resid_kwh=+362.4518),
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_CorpusExpectation(variant='gshp', block='11a', expected_sap_resid=+5.1598, expected_cost_resid_gbp=-118.8901, expected_co2_resid_kg=-41.4461, expected_pe_resid_kwh=+639.1890),
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_CorpusExpectation(variant='no system', block='11a', expected_sap_resid=+21.9350, expected_cost_resid_gbp=-505.4134, expected_co2_resid_kg=+689.2188, expected_pe_resid_kwh=-2454.8193),
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_CorpusExpectation(variant='oil 1', block='11a', expected_sap_resid=+13.6701, expected_cost_resid_gbp=-314.9811, expected_co2_resid_kg=-1381.5125, expected_pe_resid_kwh=+612.3606),
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_CorpusExpectation(variant='oil 2', block='11a', expected_sap_resid=+26.0712, expected_cost_resid_gbp=-600.7179, expected_co2_resid_kg=+2230.1071, expected_pe_resid_kwh=+801.2920),
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_CorpusExpectation(variant='oil 3', block='11a', expected_sap_resid=+30.9500, expected_cost_resid_gbp=-712.1785, expected_co2_resid_kg=+2859.5796, expected_pe_resid_kwh=+738.4592),
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_CorpusExpectation(variant='oil 4', block='11a', expected_sap_resid=+28.5927, expected_cost_resid_gbp=-655.6129, expected_co2_resid_kg=+2636.9526, expected_pe_resid_kwh=+701.8340),
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_CorpusExpectation(variant='oil 5', block='11a', expected_sap_resid=+120.7457, expected_cost_resid_gbp=-6312.0020, expected_co2_resid_kg=+1345.3630, expected_pe_resid_kwh=-2780.6222),
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_CorpusExpectation(variant='oil 6', block='11a', expected_sap_resid=+24.4087, expected_cost_resid_gbp=-561.8886, expected_co2_resid_kg=-658.8928, expected_pe_resid_kwh=-478.5733),
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_CorpusExpectation(variant='oil pcdb 1', block='11a', expected_sap_resid=+11.1667, expected_cost_resid_gbp=-257.2961, expected_co2_resid_kg=-1147.3111, expected_pe_resid_kwh=+1455.2982),
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_CorpusExpectation(variant='oil pcdb 2', block='11a', expected_sap_resid=+11.1667, expected_cost_resid_gbp=-257.2961, expected_co2_resid_kg=-1147.3111, expected_pe_resid_kwh=+1455.2982),
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_CorpusExpectation(variant='oil pcdb 3', block='11a', expected_sap_resid=+11.8747, expected_cost_resid_gbp=-273.6108, expected_co2_resid_kg=-1161.6582, expected_pe_resid_kwh=+1267.6118),
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_CorpusExpectation(variant='pcdb 1', block='11a', expected_sap_resid=+21.8997, expected_cost_resid_gbp=-502.0190, expected_co2_resid_kg=-2392.1531, expected_pe_resid_kwh=-1050.3031),
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_CorpusExpectation(variant='pcdb 3', block='11a', expected_sap_resid=+27.7563, expected_cost_resid_gbp=-637.0435, expected_co2_resid_kg=-446.3815, expected_pe_resid_kwh=+2097.4553),
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_CorpusExpectation(variant='solid fuel 10', block='11a', expected_sap_resid=+14.7769, expected_cost_resid_gbp=-340.4814, expected_co2_resid_kg=+1906.2620, expected_pe_resid_kwh=-584.5284),
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_CorpusExpectation(variant='solid fuel 11', block='11a', expected_sap_resid=+8.4098, expected_cost_resid_gbp=-193.7739, expected_co2_resid_kg=+2262.3481, expected_pe_resid_kwh=+2583.7764),
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_CorpusExpectation(variant='solid fuel 2', block='11a', expected_sap_resid=+6.0050, expected_cost_resid_gbp=-138.3659, expected_co2_resid_kg=-3718.6886, expected_pe_resid_kwh=+1594.6199),
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_CorpusExpectation(variant='solid fuel 3', block='11a', expected_sap_resid=+6.1846, expected_cost_resid_gbp=-142.5032, expected_co2_resid_kg=-5877.9595, expected_pe_resid_kwh=+3118.4874),
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_CorpusExpectation(variant='solid fuel 4', block='11a', expected_sap_resid=+5.0671, expected_cost_resid_gbp=-116.7534, expected_co2_resid_kg=-3215.4585, expected_pe_resid_kwh=+2547.5896),
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_CorpusExpectation(variant='solid fuel 5', block='11a', expected_sap_resid=+3.7888, expected_cost_resid_gbp=-87.2980, expected_co2_resid_kg=-2725.9268, expected_pe_resid_kwh=+3224.8144),
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_CorpusExpectation(variant='solid fuel 6', block='11a', expected_sap_resid=+9.2944, expected_cost_resid_gbp=-214.1551, expected_co2_resid_kg=+2174.7565, expected_pe_resid_kwh=+4052.5690),
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_CorpusExpectation(variant='solid fuel 7', block='11a', expected_sap_resid=+15.1079, expected_cost_resid_gbp=-344.9565, expected_co2_resid_kg=-3711.3064, expected_pe_resid_kwh=+488.1476),
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_CorpusExpectation(variant='solid fuel 8', block='11a', expected_sap_resid=+0.8707, expected_cost_resid_gbp=-20.0627, expected_co2_resid_kg=+3524.9644, expected_pe_resid_kwh=+4103.0089),
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_CorpusExpectation(variant='solid fuel 9', block='11a', expected_sap_resid=+15.1593, expected_cost_resid_gbp=-349.2946, expected_co2_resid_kg=+1810.7952, expected_pe_resid_kwh=+168.2046),
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)
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def _summary_pdf_to_textract_style_pages(pdf_path: Path) -> list[str]:
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"""Convert a Summary PDF into per-page Textract-style label/value
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streams, mirroring the preprocessing in
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`test_summary_pdf_mapper_chain.py`."""
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info = subprocess.run(
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["pdfinfo", str(pdf_path)], capture_output=True, text=True, check=True,
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).stdout
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m = re.search(r"Pages:\s+(\d+)", info)
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if m is None:
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raise RuntimeError(f"Could not parse page count from {pdf_path}")
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page_count = int(m.group(1))
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pages: list[str] = []
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for i in range(1, page_count + 1):
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layout = subprocess.run(
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["pdftotext", "-layout", "-f", str(i), "-l", str(i),
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str(pdf_path), "-"],
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capture_output=True, text=True, check=True,
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).stdout
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tokens: list[str] = []
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for line in layout.splitlines():
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if not line.strip():
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tokens.append("")
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continue
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parts = [p for p in re.split(r"\s{2,}", line.strip()) if p]
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tokens.extend(parts)
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pages.append("\n".join(tokens))
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return pages
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def _extract_worksheet_pins(p960_pdf: Path, block: str) -> dict[str, float]:
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"""Extract Block 11a or 11b worksheet pins from the P960 PDF.
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Block 11a (individual heating) lodges (255) Total energy cost,
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(257) ECF, (258) SAP integer, plus a `SAP value` row carrying the
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continuous SAP. Block 11b (community heating) mirrors at (355)/
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(357)/(358). CO2 (272/372/382/383) and PE (286/386/486/483) appear
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once per worksheet under the relevant block's emissions table.
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"""
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txt = subprocess.run(
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["pdftotext", "-layout", str(p960_pdf), "-"],
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capture_output=True, text=True, check=True,
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).stdout
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if block == '11a':
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seg_match = re.search(
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r'11a\. SAP rating(.*?)(?:11b\.|12a\.|11c\.|11d\.)', txt, re.DOTALL,
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)
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cost_pin_code = '255'
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elif block == '11b':
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seg_match = re.search(
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r'11b\. SAP rating(.*?)(?:12b\.|11c\.|11d\.)', txt, re.DOTALL,
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)
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cost_pin_code = '355'
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else:
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raise ValueError(f"unknown block {block!r}")
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if seg_match is None:
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raise RuntimeError(
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f"could not locate Block {block} SAP rating section in {p960_pdf}",
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)
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seg = seg_match.group(1)
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pre = txt[:seg_match.start()]
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sap_c_match = re.search(r'SAP value\s+([-\d.]+)', seg)
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cost_match = re.search(
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rf'Total energy cost\s+(-?[\d.]+)\s+\({cost_pin_code}\)', pre,
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)
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if sap_c_match is None:
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raise RuntimeError(f"missing `SAP value` in Block {block}: {p960_pdf}")
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if cost_match is None:
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raise RuntimeError(
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f"missing `Total energy cost ({cost_pin_code})` in {p960_pdf}",
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)
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co2: float | None = None
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for code in ('272', '372', '382', '383'):
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m = re.search(rf'Total CO2, kg/year\s+(-?[\d.]+)\s+\({code}\)', txt)
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if m is not None:
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co2 = float(m.group(1))
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break
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pe: float | None = None
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for code in ('286', '386', '486', '483'):
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m = re.search(
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rf'Total Primary energy kWh/year\s+(-?[\d.]+)\s+\({code}\)', txt,
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)
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if m is not None:
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pe = float(m.group(1))
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break
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if co2 is None or pe is None:
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raise RuntimeError(f"missing CO2/PE pin in {p960_pdf}")
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return {
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'sap_c': float(sap_c_match.group(1)),
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'cost': float(cost_match.group(1)),
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'co2': co2,
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'pe': pe,
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}
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def _variant_paths(variant: str) -> tuple[Path, Path]:
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"""Resolve the Summary + P960 PDF pair for a given variant folder."""
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folder = _CORPUS_ROOT / variant
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summary_candidates = list(folder.glob('Summary_*.pdf'))
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p960_candidates = list(folder.glob('P960-*.pdf'))
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if not summary_candidates:
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raise RuntimeError(f"no Summary PDF in {folder}")
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if not p960_candidates:
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raise RuntimeError(f"no P960 PDF in {folder}")
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return summary_candidates[0], p960_candidates[0]
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@pytest.mark.parametrize(
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"expectation",
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_EXPECTATIONS,
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ids=lambda e: e.variant,
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)
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def test_heating_systems_corpus_residual_matches_pin(
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expectation: _CorpusExpectation,
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) -> None:
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# Arrange — extract worksheet pins + route Summary through the full
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# extractor → mapper → cascade chain. Same property (001431) under a
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# different heating system per variant; the cascade-vs-worksheet
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# residual is the heating-cascade signal we're pinning.
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summary_pdf, p960_pdf = _variant_paths(expectation.variant)
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worksheet = _extract_worksheet_pins(p960_pdf, expectation.block)
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pages = _summary_pdf_to_textract_style_pages(summary_pdf)
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site_notes = ElmhurstSiteNotesExtractor(pages).extract()
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epc = EpcPropertyDataMapper.from_elmhurst_site_notes(site_notes)
|
||||
|
||||
# Act
|
||||
result = calculate_sap_from_inputs(
|
||||
cert_to_inputs(epc, prices=SAP_10_2_SPEC_PRICES),
|
||||
)
|
||||
|
||||
sap_resid = result.sap_score_continuous - worksheet['sap_c']
|
||||
cost_resid = result.total_fuel_cost_gbp - worksheet['cost']
|
||||
co2_resid = result.co2_kg_per_yr - worksheet['co2']
|
||||
pe_resid = result.primary_energy_kwh_per_yr - worksheet['pe']
|
||||
|
||||
# Assert — each residual sits within its absolute tolerance of the
|
||||
# pinned value. Drift beyond tolerance fires loudly; closures land
|
||||
# by re-pinning the smaller expected residual (never widen the
|
||||
# tolerance — per [[feedback-zero-error-strict]]).
|
||||
assert abs(sap_resid - expectation.expected_sap_resid) <= _SAP_RESID_ABS_TOLERANCE, (
|
||||
f"{expectation.variant}: continuous SAP residual {sap_resid:+.4f} "
|
||||
f"drifted from pin {expectation.expected_sap_resid:+.4f} "
|
||||
f"(tolerance ±{_SAP_RESID_ABS_TOLERANCE})"
|
||||
)
|
||||
assert abs(cost_resid - expectation.expected_cost_resid_gbp) <= _COST_RESID_ABS_TOLERANCE_GBP, (
|
||||
f"{expectation.variant}: total fuel cost residual £{cost_resid:+.4f} "
|
||||
f"drifted from pin £{expectation.expected_cost_resid_gbp:+.4f} "
|
||||
f"(tolerance ±£{_COST_RESID_ABS_TOLERANCE_GBP})"
|
||||
)
|
||||
assert abs(co2_resid - expectation.expected_co2_resid_kg) <= _CO2_RESID_ABS_TOLERANCE_KG, (
|
||||
f"{expectation.variant}: CO2 residual {co2_resid:+.4f} kg/yr "
|
||||
f"drifted from pin {expectation.expected_co2_resid_kg:+.4f} kg/yr "
|
||||
f"(tolerance ±{_CO2_RESID_ABS_TOLERANCE_KG})"
|
||||
)
|
||||
assert abs(pe_resid - expectation.expected_pe_resid_kwh) <= _PE_RESID_ABS_TOLERANCE_KWH, (
|
||||
f"{expectation.variant}: PE residual {pe_resid:+.4f} kWh/yr "
|
||||
f"drifted from pin {expectation.expected_pe_resid_kwh:+.4f} kWh/yr "
|
||||
f"(tolerance ±{_PE_RESID_ABS_TOLERANCE_KWH})"
|
||||
)
|
||||
Loading…
Add table
Reference in a new issue