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Khalim Conn-Kowlessar 9f0d23adc6 Slice S0380.170: Community heating mapper unblock (Table 12 dispatch)
Closes the 5 community-heating variants in the heating-systems corpus
(community heating 1/2/3/4/6 on property 001431). Pre-slice the
mapper returned `MainHeatingDetail.main_fuel_type=''` for every
community-heating cert because §14.0 lodges no Fuel Type — only EES
'COM' + a Table 4a heat-network SAP code (301/302/304). The cascade
strict-raised `MissingMainFuelType` per S0380.132. The actual fuel
that bills the cascade lives in the §14.1 Community Heating/Heat
Network block, which the extractor was skipping entirely.

SAP 10.2 Table 12 (PDF p.189) defines the heat-network fuel codes:

  Boilers + Mains Gas        → 51 (heat from boilers — mains gas)
  Boilers + Mineral oil      → 53 (heat from boilers — oil)
  Boilers + Coal             → 54 (heat from boilers — coal)
  Boilers + Biomass          → 43 (heat from boilers — biomass)
  Combined Heat and Power    → 48 (heat from CHP; fuel-agnostic)
  Heat pump + Electricity    → 41 (heat from electric heat pump)

Per spec text the upstream fuel determines the boiler-side code; CHP
is fuel-agnostic at the Table 12 cost / CO2 / PE level.

Three layers wired:

1. Survey schema — new `CommunityHeating` dataclass alongside
   `MainHeating2` carrying the §14.1 fields (heating_type,
   community_heat_source, community_fuel_type, heating_controls_ees,
   heating_controls_sap, chp_fuel_factor). Mutually exclusive with
   `main_heating_2` at the §14.1 level. Attached as
   `MainHeating.community_heating: Optional[CommunityHeating] = None`.

2. Extractor — new `_extract_community_heating()` method bracketed by
   "14.1 Community Heating/Heat Network" / "14.2 Meters". Returns
   None on individually-heated dwellings (no Community Heat Source
   lodged). Wired into `_extract_main_heating()`.

3. Mapper — new `_resolve_community_heating_fuel_code(heat_source,
   fuel)` dispatch helper + `_ELMHURST_COMMUNITY_BOILER_FUEL_TO_TABLE_12`
   constant for the boiler upstream-fuel split. Wired in
   `_map_elmhurst_sap_heating` after the EES-code-to-fuel dispatch
   and before the strict-raise on absent SAP code.

Per the standard slice workflow + [[feedback-aaa-test-convention]]:

- 5 new AAA tests in `test_community_heating_mapper_resolves_table_12_
  fuel_code` parametrized over the 5 corpus variants, asserting the
  mapper resolves the expected Table 12 code per variant.

- The existing parametrized residual-pin test in
  `test_heating_systems_corpus_residual_matches_pin` picks up the
  5 community-heating variants with cascade-side residuals pinned as
  forcing functions for follow-up slices:

      variant            dSAP    dcost     dCO2     dPE
      CH1 (Boilers/Gas)  +0.59   -£14    -787    -3827
      CH2 (CHP/Gas)      +4.50  -£104   -1430    +1506
      CH3 (HP/Elec)      +0.59   -£14   +1614   +11879
      CH4 (CHP/Oil)      +4.50  -£104   -4397     +495
      CH6 (CHP/Coal)     -3.52   +£81   -2935    +7865

  These reflect open cascade-side work (SAP 10.2 Appendix C CHP/
  boiler heat-fraction split missing — cascade treats CHP+Boilers as
  100% CHP; community-HP COP cascade missing — cascade doesn't divide
  delivered heat by COP for Table 12 code 41; heat-network overall
  CO2/PE blended-factor cascade missing — cascade doesn't compute
  worksheet rows (386)/(486)). Pinned per [[feedback-zero-error-strict]];
  follow-up slices close gaps and re-pin smaller residuals.

- `_BLOCKED_BY_MISSING_MAIN_FUEL_TYPE` tuple now empty; the
  blocked-tier test pytest-skipped via `pytest.mark.skipif` with a
  reason naming this slice.

Test baseline at HEAD: 921 pass + 1 skipped (was 916 + 0 at
predecessor 7e08e7af). Pyright net-zero on affected files
(elmhurst_site_notes.py, elmhurst_extractor.py, mapper.py,
test_heating_systems_corpus.py): 32 → 32.

Per [[feedback-spec-citation-in-commits]] the dispatch is grounded
in SAP 10.2 Table 12 (PDF p.189). Per
[[feedback-bigger-slices-for-uniform-work]] all 5 variants land in
one slice — the work is uniform (single Elmhurst label dict + single
dispatch helper) and the per-variant residuals surface together
because of cascade-side gaps, not mapper-side variation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 10:50:21 +00:00
.devcontainer added 0.0.7 2026-05-13 16:04:53 +00:00
.github/workflows undo postcodesplitter changes 2026-05-21 10:12:08 +00:00
.idea scaffolding for ml pipeline 2026-05-16 14:15:56 +00:00
.vscode added utils to allow easier subtask management 2026-03-02 15:15:39 +00:00
applications refactor(ara): rename FirstRunPipeline → AraFirstRunPipeline (PR #1139 review) 2026-06-01 15:00:33 +00:00
asset_list redeploy old postcode splitter 2026-05-21 09:46:47 +00:00
backend Slice S0380.170: Community heating mapper unblock (Table 12 dispatch) 2026-06-02 10:50:21 +00:00
backlog implemented onboarding 2026-04-21 20:23:33 +00:00
datatypes Slice S0380.170: Community heating mapper unblock (Table 12 dispatch) 2026-06-02 10:50:21 +00:00
deployment/terraform undo postcodesplitter changes 2026-05-21 10:12:08 +00:00
docs refactor(property-baseline): units on co2 / PEUI columns (PR #1139 review) 2026-06-01 14:57:00 +00:00
domain docs: handover post S0380.164..169 2026-06-02 10:25:24 +00:00
epr_data_exports allowing carbon and energy otimisation by removing slack 2025-07-31 19:13:16 +01:00
etl booking status 2026-05-28 12:15:37 +00:00
infrastructure refactor(property): PropertyRow.id non-Optional (PR #1139 review) 2026-06-01 14:58:11 +00:00
model_data/requirements its working the way khalim wanted wiht postcode and then search that 2026-01-22 15:17:13 +00:00
orchestration refactor(ara): rename FirstRunPipeline → AraFirstRunPipeline (PR #1139 review) 2026-06-01 15:00:33 +00:00
recommendations save 2026-05-07 15:55:44 +00:00
repositories refactor(property): PropertyRow.id non-Optional (PR #1139 review) 2026-06-01 14:58:11 +00:00
scripts feat(ingestion): relocate EpcClientService to infrastructure + SolarRepo (#1133) 2026-05-30 19:45:26 +00:00
sfr/principal_pitch added added historic epc data class with shape 2026-05-08 12:03:35 +00:00
survey_report quidos site notes extraction 2025-02-18 19:49:29 +00:00
tests refactor(ara): rename FirstRunPipeline → AraFirstRunPipeline (PR #1139 review) 2026-06-01 15:00:33 +00:00
utilities get rid of comments 2026-05-20 13:21:11 +00:00
utils rename files in sharepoint to desired structure 2026-05-20 16:26:07 +00:00
.coveragerc fixed unit tests 2023-10-05 16:04:12 +01:00
.dockerignore deployment from infrastructure 2026-05-19 12:55:30 +00:00
.gitignore fixed merge conflicts from main 2026-05-26 11:21:09 +00:00
__init__.py added checking for directory before creation and made some minor style changes 2023-08-25 15:21:17 +01:00
ara_backend_design.md refactor: lift-and-shift packages/domain/src/domain/ml → domain/sap10_ml 2026-05-26 13:01:35 +00:00
BaseUtility.py fixed missing task and subtask for single remote assessments 2025-11-27 17:50:26 +00:00
CLAUDE.md fixed merge conflicts from main 2026-05-26 11:21:09 +00:00
conftest.py working on integrating new EPC api into address2UPRN 2026-04-27 11:32:44 +00:00
CONTEXT.md feat(baseline): BaselineOrchestrator + BaselinePerformance aggregate (#1135) 2026-05-30 21:21:34 +00:00
devcontainer.sh add dev container 2026-04-17 14:50:57 +00:00
Dockerfile.test fix: address 22 project-wide test failures from previous sweep 2026-05-26 13:34:51 +00:00
Dockerfile.test.dockerignore deployment from infrastructure 2026-05-19 12:55:30 +00:00
Makefile adding to dev container to create shared network on start up 2026-04-25 15:03:07 +00:00
MEMORY.md memory 2026-04-02 10:24:31 +00:00
package-lock.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
package.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
pyproject.toml slice 14a: ml_training_data pkg + sample.py (CSV filter + random sample) 2026-05-16 17:39:43 +00:00
pyrightconfig.json slice 14d: build_features wires bulk reader -> mapper -> EpcMlTransform 2026-05-16 18:38:41 +00:00
pytest.ini refactor: lift-and-shift packages/domain/src/domain/ml → domain/sap10_ml 2026-05-26 13:01:35 +00:00
README.md adding to dev container to create shared network on start up 2026-04-25 15:03:07 +00:00
run_lambda_local.sh debugging local lambda run and updating the sap point checking condition 2023-09-13 18:47:12 +01:00
serverless.yml added logic to add to serverless 2026-04-22 12:39:44 +00:00
test.requirements.txt infrastructure: typed S3/SQS clients (S3Client, CsvS3Client, SqsClient, Address2UprnQueueClient) 2026-05-19 17:12:21 +00:00
tox.ini removing playright install for integration test 2026-04-30 20:08:13 +00:00
UBIQUITOUS_LANGUAGE.md note kwh service not needing predictions 2026-05-13 21:52:02 +00:00

Model Repository

This repository contains the code pertaining to the development of the data science and machine learning products being utilised by Hestia.

The different folders in this repository relate to services that can be used independently, or can be imported and used as part of a larger application

Getting Started

Prerequisites

Dev Container Setup

This repo uses a Docker Compose-based dev container. The model-backend service joins a shared-dev Docker network so it can communicate with other local services (e.g. a frontend container) running on your machine.

VS Code users: The initializeCommand in devcontainer.json creates the shared-dev network automatically before the container starts. No manual step required — just open the repo and select Reopen in Container.

Non-VS Code / CI workflows: Run the following once before starting the container:

make dev-setup

This is idempotent and safe to re-run if the network already exists.

Folders

backend/

This folder contains the code for the fastapi backend service, which provides an interface to much of the functionality in this repository, for the frontend

model_data/

This folder contains related to the reading and preparation of assessment model data, including pulling out epc attributes

Testing

All tests can be run, against the configuration in pytest.ini running

pytest

This will run the complete panel of tests and report on coverage in the locations specified by the pytest.ini file.

To run tests in a specific service, e.g. inside of model_data, simply run

pytest --cov-config=model_data/.coveragerc --cov=model_data

This will produce the test results and coverage reports