Add epc_renewable_heat_incentive table (space_heating_kwh, water_heating_kwh +
the three insulation-impact kWh fields), wired into EpcPostgresRepository
save/get. This is the P0 gap: RenewableHeatIncentive carries the baseline
space-heating/hot-water kWh that EPC Energy Derivation consumes.
The round-trip test now asserts full deep-equality (dropped the
renewable_heat_incentive exclusion) and passes for RdSAP 21.0.0 + 21.0.1.
DB migration for the new table documented in
docs/migrations/epc-property-round-trip-fidelity.md.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Relocate EpcPropertyModel + child tables from the dying backend/ tree to
infrastructure/postgres/epc_property_table.py (re-export shim keeps
documents_parser working). Add EpcRepository port + EpcPostgresRepository with
a full reverse mapper (epc_property tables -> EpcPropertyData).
Round-trip test surfaced two fidelity gaps:
1. Union[int,str] SAP code fields were str()-coerced on save, losing the int
(API) vs str (Site Notes) distinction. Now stored as JSONB (type-preserving).
2. The schema was a partial projection. Closed the cheap gaps on the model
(heating shower/bath counts, roof_construction_type, curtain_wall_age,
addendum, mechanical_vent_duct_insulation_level, SAP 10.2 §2 ventilation
fields + a ventilation_present flag). Structural gaps tracked as follow-ups;
renewable_heat_incentive (P0, #1137) excluded from the assertion until landed.
Round-trip passes for RdSAP-Schema-21.0.0 and 21.0.1; pyright strict clean.
Migration inventory for the DB: docs/migrations/epc-property-round-trip-fidelity.md
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This branch's objective is the SAL ingestion handler
(applications/SAL/handler.py) and its dependency tree. Drop work
that crept in but is unreferenced by it:
- EPC feature: domain/epc, infrastructure/epc (gov_uk + historical
clients), tests/infrastructure/epc
- datatypes/epc edits (instantaneous_wwhrs Optional) reverted to main
- asset_list/app.py local data-file/column tweak reverted to main
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Drive the contract for LandlordDescriptionOverridesOrchestrator.
get_col_to_description_mappings: given a list of UserAddress sharing
the same landlord_additional_info keys, return each key mapped to the
list of values found across all addresses.
Tests are red — the method still raises NotImplementedError.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Wires slice 1-5 primitives into a deployable splitter:
- orchestration/postcode_splitter_orchestrator.py: PostcodeSplitterOrchestrator
loads addresses via UserAddressRepository, groups by postcode via
iter_postcode_grouped_batches, persists each batch under
ara_postcode_splitter_batches/{task_id}/{subtask_id}/, creates a WAITING
child SubTask, and publishes an address2UPRN SQS message per batch.
- applications/postcode_splitter/: Lambda entrypoint. handler.py is decorated
with @subtask_handler() so the parent SubTask lifecycle is decorator-owned;
PostcodeSplitterTriggerBody validates the body. Dockerfile is the
python:3.11 Lambda base with the DDD-shaped source layers and no pandas.
- tests/orchestration/test_postcode_splitter_orchestrator.py: integration
test using moto S3 + moto SQS + in-memory SQLite that exercises the full
wiring against a fixture CSV spanning three postcode groups (one
oversize) and asserts child count, persisted inputs, queue bodies, and
dispatch order.
backend/postcode_splitter/ and .github/workflows/deploy_terraform.yml are
intentionally unchanged: the dockerfile_path flip is deferred until the
companion backend/address2UPRN/ migration is also ready.
The wrapped function now receives the decorator-owned TaskOrchestrator as
a third positional argument so handlers can compose their own use-case
orchestrator that shares the session, instead of opening a second Postgres
connection per invocation.
Both existing callers (backend/ordnanceSurvey/main.py and
backend/bulk_address2uprn_combiner/main.py) have their signatures extended
to accept the new positional argument (typed Optional[TaskOrchestrator] so
the legacy backend.utils.subtasks.subtask_handler — which only passes two
args — keeps working until the migration to the new decorator lands).
@task_handler is intentionally unchanged in this slice; symmetry is
deferred per issue #1103.
Adds a primitive for creating a new WAITING SubTask under an existing
parent Task, routing all SubTask creation through the orchestrator
(replacing the legacy SubTaskInterface path used by the splitter).
Skips _cascade because a new WAITING child against an IN_PROGRESS
parent is a no-op under Task.recalculate_from_subtasks.
Slice 3/6 of the postcode_splitter refactor (Hestia-Homes/Model#1101).
Introduces a thin typed infrastructure layer wrapping boto3 for the AWS
side of the splitter. S3Client/SqsClient are bucket-/queue-bound byte
adapters; CsvS3Client subclasses S3Client to round-trip CSV row dicts
via the existing parse_s3_uri helper in utils/s3.py; Address2UprnQueueClient
subclasses SqsClient to publish the typed {task_id, sub_task_id, s3_uri}
fan-out body the downstream consumer expects. moto[s3,sqs] is pulled into
test.requirements.txt and the new tests/infrastructure/ suite exercises
each client against the moto backend (S3 round-trip, CSV round-trip,
SQS send + body inspection, typed publish + body inspection). pyright
--strict is clean on the new modules.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Slice 1/6 of the postcode_splitter refactor (Hestia-Homes/Model#1100).
Introduces the pure-domain foundation under domain/, with no AWS, Postgres,
or pandas. UserAddress is a frozen dataclass that sanitises its postcode in
__post_init__ via the canonical sanitise_postcode helper, and
iter_postcode_grouped_batches preserves the legacy splitter's batching
invariants (group-by-postcode in insertion order, never split a group,
oversize single-postcode groups dispatched whole, final flush). Updates
UBIQUITOUS_LANGUAGE.md so the User Address term covers both the dataclass
sense (preferred in domain code) and the raw upstream-string sense.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>