The Plan derives its Valuation Uplift (ADR-0018) from its baseline -> post
band jump and works+contingency cost, given one external input — the
Property's current market value (a Property Valuation, mostly absent).
`Plan.valuation` / `Plan.baseline_epc_rating` are derived like the other
headline figures; `PlanModel.from_domain` maps the £ forms to the live
plan.valuation_* columns (NULL when no value — the percentage is not
persisted on those columns). `Property.current_market_value` is the new
optional source; the orchestrator threads it onto the Plan. `run_one`
takes a `current_market_value` so the harness can value the uplift, and
the sense-check table shows the average % (always) plus the £ forms when
known.
Sourcing the current market value (upload / default) remains deferred
(ADR-0018); it is None throughout until that lands, so the columns stay
NULL at scale.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Expand half of the recommendation_materials retirement (ADR-0017). A
Plan Measure installs a single Product, so thread its catalogue id end to
end — Product.id -> MeasureOption.material_id -> PlanMeasure.material_id
-> recommendation.material_id — replacing the per-material BOM child
table with one nullable column on the row. ProductPostgresRepository
reads the id from MaterialRow; the four fabric generators set it on their
Option; the orchestrator carries it onto the Plan Measure; the mirror
declares + maps the column. Optional throughout (the JSON stopgap
catalogue carries no ids -> NULL).
The multi-measure integration test now pins each persisted measure's
material_id to its seeded MaterialRow id. Migration spec (live column
must be added before this deploys; contraction is the owner's next step)
in docs/migrations/recommendation-material-id.md.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Move the scenario and installed_measure tables into
infrastructure/postgres/modelling/ as full-parity SQLModel definitions
(ScenarioModel, InstalledMeasureModel + MeasureType), completing the cluster
consolidation. backend/app/db/models/recommendations.py is now a pure
re-export shim.
ScenarioModel.goal is the PortfolioGoal enum (legacy planning branches on it),
sourced from domain/modelling/portfolio_goal.py; the repo's to_domain maps it to
its value string, so domain Scenario.goal is now the value ("Increasing EPC")
consistent with the orchestrator's check — fixing the latent name-vs-value
inconsistency the old str column masked (the scenario repo test stored the enum
*name*). Parity columns are nullable (mirror convention; live NOT-NULLs owned by
Drizzle).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Standardise the modelling persistence classes on the …Model suffix (PlanModel,
RecommendationModel, RecommendationMaterialModel) — matching the epc_property
precedent and the legacy names the rest of backend/ already imports, so the
shim's plan re-export becomes literal (no alias) and the eventual shim deletion
needs zero renames. The …Row→…Model sweep for the non-cluster tables
(Property/Task/Material/…) waits until their live legacy …Model counterparts
are retired, to avoid reintroducing dual-definition collisions. No behaviour
change.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Stop writing the m2m (remove create_plan_recommendations + its call, the bulk
link insert and the now-dead plan_ids_by_index, and the plan_recommendations
delete in delete_property_batch) and remove the PlanRecommendationRow model +
its shim alias and the test_export fixture inserts. Measures now link to their
Plan solely via recommendation.plan_id (writers set it, readers join on it).
The live drop of the plan_recommendations table is the FE-owned Drizzle
migration documented in docs/migrations/recommendation-plan-id.md, sequenced
after the read-cut + backfill.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Move the live plan, recommendation, recommendation_materials and (retiring)
plan_recommendations tables into a new infrastructure/postgres/modelling/
subpackage as single SQLModel definitions (the epc_property pattern), absorbing
the rebuild's partial PlanRow/RecommendationRow mirrors and carrying full
legacy column parity plus recommendation.plan_id. Out-of-cluster references are
plain indexed ints (mirror convention); the live FKs are owned by the Drizzle
schema. backend/app/db/models/recommendations.py becomes a re-export shim
(ScenarioModel/InstalledMeasure stay for a later slice).
Fix the export conftest to create SQLModel-first (so Base funding_package's FK
to the now-SQLModel plan resolves) and skip the redundant drop_all on its
function-scoped throwaway DB (the epc enum type is now shared across both
metadatas). Resolves the pre-existing dual-definition collision: the rebuild
and legacy export suites are now co-runnable. No behaviour change.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
`PlanMeasure` grows optional `kwh_savings` (delivered energy) and
`energy_cost_savings` (£) — its slice of the telescoping bill cascade, signed
so positive is a saving and `None` until billing runs. `RecommendationRow`
declares the matching live `recommendation.kwh_savings` /
`energy_cost_savings` columns and maps them in `from_domain` (None → NULL).
The vestigial `recommendation.energy_savings` stays undeclared (legacy = 0).
No FE migration — the columns already exist on the live table (ADR-0014 / 0017).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
ModellingOrchestrator gains a constructor-injected FuelRatesRepository (mirrors
Baseline): run() resolves get_current() once and reuses one BillDerivation across
the batch. _plan_for prices the baseline and post-package end-states from the
SapResults already on their Scores (no extra calculate) and passes the Bills to
Plan. PlanRow mirror + from_domain gain the four live columns post_energy_bill /
energy_bill_savings / post_energy_consumption / energy_consumption_savings.
Pipeline/handler wire the fuel-rates repo. Integration tests assert the columns
persist: the multi-measure (fallback) plan shows positive bill+consumption
savings; the already-at-target zero-measure plan shows the current bill with
exactly zero savings. Fuel-switch measures price at the new fuel for free (we
bill the simulated end-state). 183 modelling/billing/orchestration/repo tests
pass, pyright strict clean. Plan-level only; per-measure savings next.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Bill / EnergyBreakdown / BillDerivation / sap_fuel were under
domain/property_baseline/ only because Baseline was built first. The Modelling
stage now needs them too, so move them (and their tests) to a neutral
domain/billing/ — Fuel/FuelRates already live in the shared domain/fuel_rates/.
Avoids a modelling -> property_baseline cross-stage import and a package name
that wrongly implies ownership (ADR-0011, ADR-0014 amendment). Pure git mv +
import rewrite across 10 files; 40 billing/baseline/repo tests pass, pyright
strict clean. CONTEXT.md Bill Derivation location updated.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Slice 3 of #1157. Persists a Plan and its Plan Measures to the live
plan / recommendation tables via SQLModel mirrors (ADR-0017).
- infrastructure/postgres/plan_table.py: PlanRow (`plan`) + RecommendationRow
(`recommendation`) mirrors. RecommendationRow adds the new `plan_id` FK
(ON DELETE CASCADE) linking each Plan Measure to its Plan, replacing the
plan_recommendations m2m for new writes. from_domain mappers convert CO2
kg → tonnes to match the live column contract and derive post_epc_rating
from the rounded SAP. Only the impact + cost + identity columns the tracer
fills are declared; energy/bill, U-value, valuation, labour, plan_type are
left to later slices.
- PlanRepository port + PlanPostgresRepository.save(plan, *, property_id,
scenario_id, portfolio_id, is_default) -> plan id. Idempotent replace:
deleting the Plan cascades to its recommendation rows via plan_id, so a
re-run overwrites (ADR-0012). No commit — the UoW owns the transaction.
2 tests (persist + idempotent re-run); pyright strict clean; 73 pass across
repositories/modelling/orchestration with no regressions.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Slice 1 of the #1157 build. The FE creates a Scenario and passes only
its id to the pipeline; the Modelling stage reads it back here.
- domain/modelling/scenario.py: thin `Scenario(id, goal, goal_value,
budget, is_default)` — the slice the stage uses today (goal/budget for
the Optimiser later; is_default drives plan.is_default). No phases
(ADR-0005); legacy file-path/aggregate columns not modelled.
- infrastructure/postgres/scenario_table.py: `ScenarioRow` SQLModel
mirror of the live `scenario` table (ADR-0017), declaring only the
read columns; goal mapped as its string value.
- ScenarioPostgresRepository.get_many(scenario_ids) -> list[Scenario]:
bulk read, input-order-preserving, raises on a missing id.
The method shape lives on the concrete repo for now; it is promoted to
an @abstractmethod on the port when the real orchestrator is wired and
the bare-stub instantiations retire (keeps the stubbed Modelling wiring
composing meanwhile). 2 tests, pyright strict clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Product(measure_type, unit_cost_per_m2, contingency_rate). ProductRepository
is the DDD port abstracting the catalogue source; ProductPostgresRepository
reads the externally-owned material table (defensive SQLModel view
MaterialRow) and maps an active row to a Product — total_cost becomes the
fully-loaded unit_cost_per_m2 — joining the per-measure-type contingency
(contingencies.py, mirrors Costs.CONTINGENCIES; cavity 0.10). Strict-raise
on missing/inactive row. A JSON-backed impl will follow behind the same
port for ETL-gap costs.
Two DB tests against an ephemeral Postgres (map active row; raise on
inactive-only). Toward #1155 cost (4b). Also generalises the CONTEXT
Simulation Overlay wording: windows are targeted by index, building-part
association carried via window_location (_window_bp_index). pyright clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The PropertyBaselineOrchestrator now reads the current Fuel Rates snapshot
once per batch, builds a BillDerivation, and prices each scored property's
SapResult -> EnergyBreakdown into a Bill carried on PropertyBaselinePerformance
(None only on the stub no-calculator path). The Bill is flattened onto nullable
bill_* flat columns (per-section kwh+cost, standing charges, SEG credit, total)
on the postgres table, with bill_total_annual_bill_gbp as the not-null
discriminator on read-back. Section absent from the bill stays None, not 0.
Updated all four orchestrator construction sites to inject the FuelRatesRepository
port (handler + three test sites), and the FE migration doc to reflect the
prefixed columns and that they are now populated.
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>
`property` is an FE-owned table the backend only ever reads — every row read
carries an id — so the autoincrement-PK `Optional[int]` idiom doesn't apply
here. Make it `int` and drop the now-redundant None guard in get_many.
(Contrast: solar_table keeps Optional id — the backend DOES insert those, so
id is genuinely None pre-flush.)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Make the stored units explicit on the property_baseline_performance columns:
- `*_co2_emissions` → `*_co2_emissions_t_per_yr` (tonnes CO₂/yr, whole dwelling)
- `*_primary_energy_intensity` → `*_primary_energy_intensity_kwh_per_m2_yr`
Column names only; the domain `Performance` VO stays unit-suffix-free (units are
a storage concern, mapped in from_domain/to_domain). Migration doc updated.
Round-trip stays green.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Stage 2 of First Run. Establishes each Property's Baseline Performance
from persisted source data and writes it back — reads only from repos,
never a Fetcher or HTTP (ADR-0003), so it is byte-identical whether
Ingestion ran milliseconds ago or last week.
Domain (`domain/baseline/`):
- `Performance` VO — the four rated quantities: SAP / EPC Band / CO2 /
Primary Energy Intensity. `lodged_performance(epc)` reads them off the
EPC's recorded fields (PEUI = `energy_consumption_current`).
- `BaselinePerformance` (ADR-0004) — the paired `lodged` + `effective`
Performance + `rebaseline_reason`, plus the no-derivation part of the
energy block (`space_heating_kwh` / `water_heating_kwh`, off the RHI,
deterministic per ADR-0006). Both halves always populated.
- `Rebaseliner` port + `StubRebaseliner`: the re-score-on-override seam
(ADR-0011). SAP10 certs pass through (effective == lodged, reason
"none"); a pre-SAP10 cert raises `RebaselineNotImplemented` rather
than fabricating a plausible-but-wrong "none" — ML rebaselining is not
wired yet. Mirrors the repo's strict-raise culture.
Persistence: new `BaselineRepository` port + `BaselinePostgresRepository`
+ flat-column `baseline_performance` SQLModel (one row per Property). Per
ADR-0004's amendment this is a standalone table, NOT columns on the
retiring `property_details_epc`. Production migration is FE-owned
(Drizzle) — docs/migrations/baseline-performance-table.md.
Docs (grill-with-docs): corrected CONTEXT.md Lodged/Effective Performance
to Primary Energy Intensity (the term collided with its own _Avoid_ entry
under "heat demand") + fixed stale RHI field names; amended ADR-0004
Consequences for the standalone-table decision.
Fuel split + bills (rest of EPC Energy Derivation) deferred to a
follow-up — they need a Fuel Rates source (Ofgem-cap ETL) that does not
exist yet.
TDD, one test -> one impl: 7 tests (lodged read, rebaseliner pass-through
+ raise, orchestrator establish-and-persist + pre-SAP10 raise, Postgres
round-trip + absent). pyright strict clean; AAA layout.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Move the EpcClientService package (client + _retry + exceptions + tests) from
the dying backend/ tree to infrastructure/epc_client/ as the New-EPC-API Fetcher;
update the two callers (address2UPRN, a script). All 14 client tests pass.
Add SolarRepository port + SolarPostgresRepository persisting Google Solar
building insights as JSONB (solar_building_insights table), one row per Property.
The EPC repo half of this slice already landed in #1129. pyright strict clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add the Ara modelling aggregate root (ADR-0002): domain/property/ with
PropertyIdentity, SiteNotes, Property, Properties. Property.source_path
implements the two disjoint source paths + Recency Tie-Break (ADR-0001;
survey wins on an equal date); effective_epc resolves to the surveyed data
(Site Notes path) or the public EPC (epc_with_overlay path — Landlord
Overrides overlay is a later slice). Pure dataclasses, no infrastructure imports.
PropertyRepository port + PropertyPostgresRepository hydrate the aggregate
whole from a defensive view of the FE-owned 'property' table (identity columns)
plus the EPC slice via EpcRepository.get_for_property. Reads only from repos
(ADR-0003). 8 domain + 1 hydration test; pyright strict clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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>
Records the grill-with-docs outcomes for the ara_first_run rebuild: three
composable stage orchestrators (Ingestion/Baseline/Modelling), one lambda per
use case chaining them through repos (not in-memory), and the Fetcher-vs-Repo
data-source taxonomy. Amends ADR-0003's chaining rule to generalise beyond
RefreshOrchestrator. Adds the pipeline-composition + First Run vocabulary to
CONTEXT.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>
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>
