Model/tests
Khalim Conn-Kowlessar 0bd2db4f03 feat(modelling_e2e): price gap measures via overlay + broaden prediction to nearby postcodes
Two reconciliations to make the modelling_e2e Lambda handler production-ready.

1. Price through the off-catalogue overlay, drop the workarounds
   The handler priced through a plain ProductPostgresRepository and excluded
   secondary_heating_removal / system_tune_up / system_tune_up_zoned to dodge
   ProductNotFound (and a poisoning pgEnum DataError). Those measures are now
   priced by catalogue_with_off_catalogue_overrides (already used by the e2e
   runner and PostgresUnitOfWork), so the exclusions are removed and ALL measure
   types are considered. This also fixes gas-boiler / single-glazed properties,
   which Dan's handler never excluded and so still crashed (the standard
   system_tune_up option is built unconditionally — the considered-measures
   exclusion never actually gated it).

2. Broaden the EPC-Prediction cohort to nearby real postcodes (ADR-0031)
   A property with no lodged EPC and no same-type comparable in its own postcode
   (e.g. the only flat among houses) used to gate out and fail the subtask. The
   gov EPC API cannot search by radius/outcode, so we resolve the real unit
   postcodes physically nearest the target via postcodes.io (keyless; already a
   trusted in-repo dependency) and walk them nearest-first until enough same-type
   comparables surface. New PostcodesIoClient (transient-failure retry with
   exponential backoff, soft-failing to the seed so broadening never breaks
   prediction) and EpcComparablePropertiesRepository.candidates_near. Wired into
   the handler and e2e runner; broadening is lazy (only on gate-out) and memoised
   per (postcode, property_type).

Validated live: property 728476 (gas boiler) prices system_tune_up at GBP295;
property 718580 (lone flat in BR6 6BS) now predicts via nearby BR6 postcodes.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-23 16:25:18 +00:00
..
applications feat(modelling_e2e): price gap measures via overlay + broaden prediction to nearby postcodes 2026-06-23 16:25:18 +00:00
datatypes fix(mapper): map truncated Elmhurst glazing label "Double between 2002" (RdSAP 10 Table 24 code 3) 2026-06-21 06:15:25 +00:00
domain updated sap scaema to take in inputs 2026-06-23 10:22:40 +00:00
e2e Prove prediction resolves landlord overrides to a real cohort match end-to-end 🟩 2026-06-16 15:20:49 +00:00
fixtures/epc_prediction feat(epc-prediction): geo-proximity weighting, per-component (#1227) 2026-06-15 14:58:42 +00:00
harness feat(modelling): drive measure scoping from the Scenario's exclusions 2026-06-16 15:26:25 +00:00
infrastructure feat(modelling_e2e): price gap measures via overlay + broaden prediction to nearby postcodes 2026-06-23 16:25:18 +00:00
lambdas new application to trigger e2e for a single property and scenario 2026-06-22 12:54:53 +00:00
magic_plan Migrate all MagicPlan tests to single new-format fixture 🟪 2026-06-05 12:59:56 +00:00
orchestration Merge remote-tracking branch 'origin/main' into feature/e2e-runs 2026-06-23 07:49:22 +00:00
repositories feat(modelling_e2e): price gap measures via overlay + broaden prediction to nearby postcodes 2026-06-23 16:25:18 +00:00
scripts re run ddd tests 2026-06-22 08:52:45 +00:00
utilities added floats helper 2026-06-12 14:28:41 +00:00
__init__.py added postcode splitter rewrite to ddd 2026-05-19 16:35:09 +00:00
conftest.py Audit generator populates XLSX, uploads to S3, and records UploadedFile row 🟪 2026-06-09 12:05:55 +00:00
test_lambda_packaging.py better smoke tests to check what is failign 2026-06-17 11:53:33 +00:00