diff --git a/changelog.d/931-uk-atomic-area-supports.added.md b/changelog.d/931-uk-atomic-area-supports.added.md new file mode 100644 index 000000000..6199ae5a9 --- /dev/null +++ b/changelog.d/931-uk-atomic-area-supports.added.md @@ -0,0 +1 @@ +Rebuild the three UK atomic-area supports (E&W 2021 OAs, Scotland 2022 OAs, NI 2021 Data Zones) from published ONS/NRS/NISRA lookups at the FY2024-25 vintages (LAD April 2023 code set, Ward 2024, ITL 2025, PCON July 2024) with a committed provenance register, `sources.yaml` pins and geography vintage records; `tools/build_uk_atomic_area_supports.py` diffs the result against the pinned OA ladder (#931). diff --git a/changelog.d/931-uk-atomic-geography-wiring.changed.md b/changelog.d/931-uk-atomic-geography-wiring.changed.md new file mode 100644 index 000000000..42edfd16e --- /dev/null +++ b/changelog.d/931-uk-atomic-geography-wiring.changed.md @@ -0,0 +1 @@ +The UK full build assigns geography on the shared atomic-geography operators: households are keyed by their explicit spine lineage (`uk.full.identity`), one atomic area is drawn per household by census household count within FRS region under a keyed stream, larger geographies derive from the support mappings, and the shared gate must pass before the pool checkpoint. `--geography-assignment legacy` keeps the sequential ladder draw for measurement builds; release candidates refuse it and pin the three supports (#931). diff --git a/docs/evidence/uk-931/atomic-assignment-cells.json b/docs/evidence/uk-931/atomic-assignment-cells.json new file mode 100644 index 000000000..f60e39d11 --- /dev/null +++ b/docs/evidence/uk-931/atomic-assignment-cells.json @@ -0,0 +1,44918 @@ +{ + "cells": [ + { + "areas": [ + { + "area_code": "E14001063", + "ess": "<3", + "expected_rows": 0.7273938153773107, + "level": "constituency", + "region_code": "E12000008", + "rows": "<3", + "sources": "<3", + "z": 0.32158776388379867 + }, + { + "area_code": "E14001064", + "ess": 0.0, + "expected_rows": 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4.071008252058869, + "max_relative_error_expected_ge_100": null, + "min_ess": 1.6567307229122428, + "min_rows": 2.0, + "min_sources": 2.0, + "share_abs_z_gt_3": 0.0030816640986132513 + }, + "la": { + "areas": 361, + "areas_with_expected_ge_100": 2, + "areas_with_expected_ge_5": 355, + "max_abs_z": 2.772278632961248, + "max_relative_error_expected_ge_100": 0.1079834426741643, + "min_ess": 0.0, + "min_rows": 0.0, + "min_sources": 0.0, + "share_abs_z_gt_3": 0.0 + } + }, + "london_weighted_household_share": 0.1302914404170005, + "n_clones": 15, + "node_wall_seconds": { + "uk.full.geography.assign": 0.021466542035341263, + "uk.full.geography.derive": 0.08269270905293524, + "uk.full.geography.gate": 0.3687602919526398, + "uk.full.geography_gate": 0.012237417045980692, + "uk.full.identity": 0.011380874901078641 + }, + "peak_rss_bytes": 2625454080, + "rows": 7530, + "shared_gate_outcome": "pass", + "source_households": 156, + "wall_seconds": 4.568555249948986 + } + ], + "date": "2026-09-15", + "ladder": { + "path": "uk_oa_ladder_2021.npz", + "sha256": "bed3f13d3a82eea2d1f39248b71c0abf5ba6960a446ddd9415ae1dbcb7ae07fd" + }, + "laws": [ + "legacy", + "keyed" + ], + "minimum_count": 3, + "model_period": 2025, + "n_clones": [ + 1, + 15 + ], + "pool": { + "sample_fraction": 0.01, + "sample_seed": 578, + "seed": 42, + "spine": "spine-r.h5", + "spine_sha256": "921612e88eefcf21511ac6ad5faf60a1514f577490188c6e39aec49cb4224f27" + }, + "purpose": "Assignment-level before/after evidence for the UK geography-first reordering (step 2): legacy sequential ladder draw versus the identity-keyed single-stage draw, design weights, no solve; per-area counts below the minimum are suppressed and no unit records appear.", + "supports": { + "uk_ew_output_area_2021": "1b0dec268be0141f03ec05dc3b55c13733cc2bb20be5e403d76d73c8e27dc797", + "uk_ni_data_zone_2021": "facb9923f589cb68eefa8fad37911e618b6137964ff58a231976ef62584b669f", + "uk_scotland_output_area_2022": "1649fa831315e6fac80caa4af7f68e837fd985b7f59c2831bb0db8cbfeeee443" + } +} diff --git a/docs/geography-assignment.md b/docs/geography-assignment.md new file mode 100644 index 000000000..c71051a23 --- /dev/null +++ b/docs/geography-assignment.md @@ -0,0 +1,268 @@ +# Geography assignment in the population graph + +Design decision, corrected 10 September 2026: finish constructing the full survey +multispine, including its initial support and PUF clones, then assign one small +census area to each resulting household. Derive larger geographies from that +area using identified, versioned mappings. Distinct clones may receive different +areas subject to their observed source constraints. The assigned location then +remains fixed through subsequent enrichment, calibration and analysis views. + +The earlier block-before-clone implementation and its passing controls remain +historical evidence. They do not demonstrate this corrected ordering. Geographic +assignment must use a stable post-clone identity, including a clone discriminator +where original-source identity alone is shared by multiple households. + +The corrected order now passes 70 controls on invented inputs, plus a separate +default-path compatibility check. The nine-node survey prefix expands the initial +clones before assignment; its nineteen-node financial and twelve-node age +extensions retain the assigned geography. Draw identity combines +`survey_geography_origin_key` with `household_support_clone_index`, so renumbering +households does not redraw their location. A typed validation artifact orders +financial enrichment after the geography gate. See the +[scoped acceptance](../experiments/us-postclone-geography-70-controls-20260910.json). +Native execution of this corrected order and population-quality acceptance +remain pending. The older results below retain their original source scope. + +## Declarative country capability + +Geography is a declarative country capability backed by shared graph operators. +A country declares its atomic area type, code system and vintage, source mapping +artifacts, observed-geography constraints and sampling-weight convention. The UK +declaration can select an area system by nation. Adding a country should not +require writing a country-specific assignment or derivation kernel. + +The shared assignment operator selects the atomic area using the declared +support and stable household identity. Shared lookup/join operations derive +larger geographies from identified mappings. If an input already has a qualified +atomic area, validate and retain it. Source acquisition and normalization may +still require publisher-specific adapters; they produce the common support and +mapping contracts, rather than owning a separate assignment algorithm. + +Sampling and derivation remain executable graph operations with typed inputs, +outputs and replay identity. A country configuration does not itself execute +them. Mapping edges retain their relation type, including exact nesting or an +explicit best-fit convention. Prefer existing graph lookup/join primitives where +they support these contracts; introduce only the shared behavior they lack. + +The existing country-spec geography declaration is a starting point, but its +legacy clone-and-assign contract and country-specific runtime references do not +yet implement this shared atomic-area contract. Preserve those compatibility +paths while the shared operators and country adapters receive their own checks. + +```mermaid +flowchart LR + S[Complete survey multispine including clones] --> A[Assign one small area per resulting household] + C[Observed survey geography constraints] --> A + L[Versioned small-area support] --> A + A --> D[Derive larger geographies] + M[Versioned geographic mappings] --> D + D --> E[Subsequent enrichment retains location] + E --> R[Rules and calibration] + R --> P[Pruned analysis file retains location] +``` + +## Country anchors + +| Country | Assigned household anchor | Derived geographies | +| --- | --- | --- | +| US | Census block, with census vintage | Block group, tract, county, state, PUMA and congressional district using the declared mapping/boundary vintages | +| England and Wales | 2021 Output Area | LSOA, MSOA, local authority, ward, constituency and region | +| Scotland | 2022 Output Area | Scottish statistical areas, council area, ward, constituency and region | +| Northern Ireland | 2021 Data Zone | Super Data Zone, local government district, constituency and nation | + +Northern Ireland's 2021 Data Zones replaced the 2011 Small Areas. Scottish +Output Areas use the 2022 census. These are different source systems; the graph +must retain the original area type and vintage rather than imply identical units. +See [NISRA census output geography](https://www.nisra.gov.uk/statistics/census-2021-results/census-output-geography) +and [Scotland's census general report](https://www.scotlandscensus.gov.uk/about/scotlands-census-2022-general-report/). + +Some larger boundaries do not nest exactly. England and Wales small-area estimates +use best-fit mappings for wards and parliamentary constituencies. The derived +edge must identify whether its mapping is exact, best-fit or another explicit +approximation, with its source and vintage. A mapping convention cannot be +presented as observed household location. See the +[ONS methodology](https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/methodologies/smallareapopulationestimatesqmi). + +For US congressional districts, the Census Bureau's CD119 block equivalency +file assigns whole original 2020 tabulation blocks to districts. Colorado's +block `080010096072000` crosses the enacted CD07/CD08 boundary but is assigned +to CD08 for tabulation. Represent this as an official tabulation mapping, +not exact spatial containment. The same source distinguishes original 2020 +blocks from subsequently adjusted geometry and includes undefined `ZZ` areas. +See the [Census Bureau's CD119 documentation](https://www.census.gov/geographies/mapping-files/2025/dec/rdo/119-congressional-district-bef.html). +By contrast, the same-vintage tract-to-PUMA relation is nested, as described in +the [Census PUMA guidance](https://www.census.gov/programs-surveys/geography/guidance/geo-areas/pumas.html). + +## Required behavior + +- Respect observed source constraints, such as ACS PUMA and FRS region. Record + inferred geographic detail as modeled. Preserve observed source geography + separately from the assigned location. +- Bind each draw to a stable household identity, seed and assignment definition. + Reordering rows or selecting an existing household must not redraw its location. + Changed source support or boundary mappings produce a new identified revision. +- Assign household members consistently with their resulting household. Initial + clones have distinct draw identities and may receive different anchors. + Materialized county, district and other fields must agree with that household's + selected anchor. Source geography remains a separate observed constraint. +- Show assignment and derivation as separate operations in the graph. Expose the + source constraints, support, sampling weights, mapping conventions and judgment + annotations in the inspector. +- Refuse missing, ambiguous or incompatible mappings unless an explicit, + source-supported resolution rule is part of the assignment definition. +- Verify inheritance and mapping consistency again on every pruned export. + Engine input profiles and geographic build invariants are separate contracts. + +## Existing implementation and next changes + +The shared implementation now lives in `microcosm.build.atomic_geography` and +`microcosm.build.graph_atomic_geography`. It provides four country-neutral nodes: +`geography.support_import@1`, `geography.assign_atomic@1`, +`geography.derive@1` and `geography.gate@1`. Countries supply declarations and +normalized, pinned support files. The graph interfaces and legacy country +operators are unchanged. Country configuration and native support integration +remain necessary before these nodes can assign locations in a release build. + +The support contract uses deterministic NPZ bytes with no object arrays. It has +one unique string code per atomic area; every mapping column identifies its +source, vintage and relation, and every integer sampling-weight column identifies +its source and basis. Nonnegative weights have a bounded exact total. A source +adapter must resolve any nonfunctional crosswalk before admission; the shared +lookup never multiplies households through a many-to-many join. + +Assignment conditions on all nonmissing observed constraints jointly. Declared +stages can use different weights—for example, household counts to select a +constituency followed by population counts to select its small area. Each draw +uses the existing `keyed_uniform` protocol with stable source identity, the +declared stream, system, stage, assignment definition and support digest. +Selection uses an integer inverse CDF. Reordering, subsetting or adding unrelated +households preserves draws. The numerical declaration remains `platform_bitwise`; +cross-platform equivalence has not been established. + +The version-1 declaration lists `identity`, `stream`, three assignment `outputs` +(`area`, `system`, `basis`), and `systems`. Each system supplies its atomic +identity and source, a selector, observed constraints, an optional observed-area +column, sampling stages and derived layers. Geographic codes use nullable +strings throughout, retaining leading zeroes. An engine that needs integer +storage must declare that conversion separately. A system without a particular +layer produces missing values for that layer, which the integrity gate checks. +The graph stores the canonical declaration in its normative `definition` +parameter and exposes the stream separately; no graph parameter grammar changed. + +The 34 invented-data controls include real graph execution, cold and warm reuse, +source-change invalidation, exact lookup metadata, independent sampling-boundary +checks, three-system routing, observed-area retention, row/subset stability and +clone/prune validation. All passed under the isolated control runner on +9 September 2026. These checks establish shared operator behavior; they do not +admit a Census/ONS source or certify any population's geographic fit. The gate +checks mapping integrity, while the executor and build own structural lineage +and population-quality acceptance. The country's chosen identity still needs +verification across actual sampling rungs. + +The US development composed graph attaches geography after harmonization, but +`us_runtime/graph_geography.py` selects a joint tract/congressional-district cell +and emits PUMA, county and district. It does not assign a Census block. Its prior +national source and joint-support checks therefore do not establish block-first +acceptance. The separate atomic survey graph now provides that block assignment +and derivation connection before enrichment. Its population-only national block +support and source review are recorded below. + +The UK full build assigns geography with the shared operators on three +support artifacts (E&W 2021 Output Areas, Scotland 2022 Output Areas, NI 2021 +Data Zones) rebuilt from published ONS/NRS/NISRA lookups and pinned in +`uk/spec/sources.yaml` and `uk/uk_atomic_area_supports.provenance.json`; every +mapping column carries its publisher relation (`exact`, `best_fit`, +`official_tabulation`) and vintage. The draw is single-stage, one atomic area +by census household count within the household's FRS region, keyed by the +post-clone household identity (`uk.full.identity`, `household_draw_key`), so +assignment is stable under row reordering, subsets and pool growth. The +previous area-based ladder in `uk_runtime/geography_ladder.py` (constituency +within region by household counts, then OA within constituency by population, +on a shared seeded stream) remains available as `--geography-assignment +legacy` for measurement builds only, and still supplies the rosters and +dispersion checks used by target compilation. + +The Northern Ireland source builder currently infers Data Zone constituencies +using the modal active-postcode constituency. Review the official +[NISRA constituency aggregation and lookup resources](https://www.nisra.gov.uk/publications/census-2021-output-geography-information-papers) +before choosing or replacing that approximation. Source existence is not +acceptance of a particular lookup or its application to the population. + +The US block adapter in `us_runtime/atomic_block_support.py` now preserves each +supplied block, leading zeroes, population weight and the source-labeled +tract-to-PUMA and block-to-district mappings. Its declaration uses the shared +operators, preserves observed state/PUMA separately, and labels CD119 as +`official_tabulation`. Its sampling proxy is 2020 persons; this does not imply +household counts or support for subsequent construction in unpopulated 2020 +blocks. All 13 invented tests passed, including missing/inconsistent mapping +refusals and subset-stable assignment. Receipt SHA256: +`404deb7666b3ac9b8a654181228c545ab95c131f30a1fbe65a2e15d5a08a4c4c`. +These initial adapter tests do not establish native geographic fit. Subsequent +national support and native pilot results are recorded below. + +The earlier `us_runtime/graph_atomic_survey_clone.py` declared this sequence: +shared import, assignment, derivation and integrity gate, then the existing +combined-survey support clone and an inherited-mapping gate. The graph compiler +makes the clone depend on every member of its base version, including the +pre-clone gate. The post-clone gate never draws another location. An actual +executor control passes cold execution and required replay: four invented +households become eight, every location column is inherited, all entity rows +are copied, and each household weight is split equally across the pair. +Subset mapping verification also passes. Receipt SHA256: +`1bb75a5ee53edcbdd199a6d0163cbe75c32e54c80513cb3eb8d13021c3c2b1c3`. +A separate source-only Codex review found no actionable defects. + +The current survey path now qualifies observed state and ACS PUMA from the +retained original-source preparation. Eleven source controls and fourteen graph +controls passed, covering missing geography, source changes, replay and stable +household identity across sampling rungs. These controls use invented originals +through the actual source issuers. Their receipts are recorded in +`experiments/us-survey-geography-source-controls-20260909.json` and +`experiments/us-survey-geography-graph-controls-20260909.json`. + +The earlier `us_runtime/graph_atomic_survey_population.py` connected that projection +to block assignment, geographic derivation, the integrity gate and the combined +survey clone. It retains the raw allocation separately from the enriched +pre-clone population, even though both share the allocation version identifier. +The complete ten-node prefix passed five controls: fresh execution, required +replay, full geography inheritance, support-byte mismatch and late mutation +refusals. The test population contains six survey households before cloning and +twelve afterward. The exact tested revisions and remaining checks are recorded +in `experiments/us-atomic-survey-population-controls-20260909.json`. + +The earlier calibration budget and age runner consumed this optional prefix +and independently reconstructed it from the raw allocation. Eight budget +controls passed, as did the complete thirteen-node age graph through fresh +execution and required replay. A separate compatibility control verifies that +the existing predictor and PUF-host qualifiers still accept the default survey +prefix. See the corresponding `us-atomic-budget-semantic-8`, +`us-atomic-age-v2-1`, and `us-budget-predictor-compatibility-1` records in +`experiments/`. + +Replay can canonicalize the hidden backing values of missing numeric cells. +Persistent budget identities therefore bind logical Frame values, population +version, complete ownership, weight kinds, mass ledger and exact design-weight +bytes. They exclude only the helper receipt's physical population stamp. +Same-object mutation checks retain physical identity. The initial physical-stamp +replay failure remains recorded; the corrected budget controls pass. + +The byte-source adapter passed thirty-six invented-source controls through the +maintained PL, CD and PUMA parsers. This does not authorize acquisition of native +PL archives, which also contain housing segments. Native support preparation +will instead request only Census `P1_001N` block populations and independent +state totals, then join CD119 and tract-to-PUMA mappings. Delaware is the first +source control; national survey assignment requires complete admitted support +for the fifty states and DC. No native acquisition is accepted by these tests. + +`us_runtime/atomic_block_api_sources.py` implements that population-only response +adapter. All thirty-five invented controls pass, including independent state +totals, exact block preservation, missing mappings, malformed response fields, +byte limits and late source-record mutation. Request descriptors preserve the +repeated Census `in` parameters and omit credentials. The adapter does not infer +the response's origin from its contents; acquisition and publisher qualification +remain separate. Evidence: +`experiments/us-atomic-block-api-sources-35-controls-20260909.json`. + +Publisher-qualified native block support, national and district calibration, +and pruned export verification remain necessary for a release. Source integrity +checks and successful invented-data runs do not establish geographic fit. diff --git a/docs/uk-atomic-household-lineage.md b/docs/uk-atomic-household-lineage.md new file mode 100644 index 000000000..3938e9d16 --- /dev/null +++ b/docs/uk-atomic-household-lineage.md @@ -0,0 +1,28 @@ +# UK household identity after cloning + +The shared atomic-area operators need a stable household key after initial cloning. `uk_runtime.atomic_household_lineage` projects supplied original-source identities through explicit selection and expansion records, using the existing `household_draw_key` encoding. It adds no assignment algorithm, data reader, issuance registry or full-build host. + +A key includes the declared source, source vintage, original household ID and ordered clone path. It excludes final offset IDs, row order, sample size, calibration weights and financial values. Exact int64 IDs above `2**53` remain distinct. Original households keep their previous path; a new child appends its explicitly supplied branch ordinal. An original branch does not gain an inferred zero ordinal. + +## Contract + +`project_atomic_household_keys(roots, *, steps, final_ids)` returns a detached two-column table: int64 `household_id` and nullable-string `geography_household_key`, in the requested final order. Roots have exactly `household_id`, `source`, `source_vintage` and `source_household_id`. An empty selection is a valid description, not evidence that an empty dataset is useful or releasable. + +Steps are immutable descriptions: + +- `HouseholdExpansion(branch, before_ids, after_ids, parent_pairs, child_ordinals)` carries exact household axes, the household part of the shared executor's `receipt["expand"]`, and explicit child ordinals. The existing ordered branches are SPI support, CGT incidence, CGT band donors and geographic support. Each arriving household needs one known preceding parent and one ordinal. Two children of the same parent cannot reuse an ordinal in the same branch. +- `HouseholdSelection(before_ids, after_ids)` explicitly removes households while preserving their keys. This supports the source-family sample between the completed source spine and geographic expansion. It does not check that the sample respected the host's family-sampling rule. + +Each before-axis must have exactly the previous step's household IDs. Expansion cannot remove incumbents; selection cannot add households. Unknown or null parents, repeated or reordered branches, incomplete parent/ordinal coverage, duplicate keys and a mismatched final axis refuse. Axis ordering may change, because ordering is not identity. The function never guesses ancestry from ID arithmetic, support flags or model values. + +## Host responsibilities + +These checks establish internal consistency of supplied descriptions. A dataclass, DataFrame or serialized receipt does not prove its source. The receiving host must retain and check the actual original source owner, complete before/after populations and source/EXPAND/FILTER evidence. It must authenticate the complete structural stage roster, the explicit branch-ordinal convention, and the exact final receiving household axis before and after relevant I/O. A coherent invented history can pass this pure helper; it is not an admission gate. + +The host can extract the household pairs from its verified shared EXPAND receipt without decoding household ID offsets. The helper returns the key column for the existing `uk_atomic_assignment_definition` and `atomic_geography_nodes` APIs. Support-byte provenance, observed-region constraints and versioned mapping relations remain separate responsibilities. Larger geographies continue to derive from the assigned atomic area. + +The full-build graph now adopts this key: `uk.full.identity` (`UKGeographyIdentityKernel`) reads the spine's explicit lineage columns and the pool clone index and writes `geography_household_key` with exactly this encoding, and `test_uk_atomic_identity_graph.py` holds the kernel to this projector on the executor's actual EXPAND receipt. The existing source stage order still interleaves enrichment before later SPI/CGT cloning; moving atomic assignment before every enrichment stage remains a separate staged migration under the geography-first umbrella issue (PolicyEngine/microcosm#931). This helper does not claim that migration, native FRS qualification or a new UK release. + +## Verification scope + +Invented tests cover the full four-branch path, explicit selection, exact large IDs, source and ordinal changes, stable keys under row reordering and pool growth, unknown/colliding ancestry refusal and detached output. A real shared CREATE/EXPAND/FILTER graph supplies the household lineage receipt and replays from cache. Its projected keys then feed the existing seven-node atomic graph, including three system imports, assignment, derivation and its gate. That graph also completes required replay and preserves the supplied entity tables, weights, strata and metadata. No native source, private archive, country engine or external resource is used. diff --git a/docs/uk-full-build-graph.md b/docs/uk-full-build-graph.md index a964933d8..eec66fdeb 100644 --- a/docs/uk-full-build-graph.md +++ b/docs/uk-full-build-graph.md @@ -12,6 +12,9 @@ From a canonical spine checkpoint with its `.build.json` and `.spine_gates.json` uv run --no-sync python tools/build_uk_full.py --release-role dense \ --input-h5 /data/uk/spine.h5 --input-sha256 \ --ladder /data/uk/ladder.npz --ladder-sha256 \ + --atomic-support-ew /data/uk/supports/uk_ew_output_area_2021_support.npz \ + --atomic-support-scotland /data/uk/supports/uk_scotland_output_area_2022_support.npz \ + --atomic-support-ni /data/uk/supports/uk_ni_data_zone_2021_support.npz \ --ledger-facts /data/chronicle/uk-artifact \ --ledger-facts-sha256 --ledger-manifest-sha256 \ --out /data/uk/full-build @@ -19,9 +22,11 @@ uv run --no-sync python tools/build_uk_full.py --release-role dense \ `--release-role` is required. The dense role supplies every unset solve default from the local doctrine (epochs, learning rate, seed, K, weight rule, constituency vintage, selection) and refuses the national role's flags (`--target-loss-cap`, `--allow-unpinned-feed`, `--incumbent-h5` and `--incumbent-sha256`). `--ladder` with `--ladder-sha256` is required by the dense role, `--input-sha256` by every `--input-h5` build, and the three Ledger arguments (`--ledger-facts`, `--ledger-facts-sha256`, `--ledger-manifest-sha256`) by every build. The supplied hashes must agree with the committed Chronicle pins: a target-scope filter does not authorise a different source, and the dense role has no unpinned-feed override. +The three atomic-area supports are the artifacts pinned in `uk/uk_atomic_area_supports.provenance.json` and `uk/spec/sources.yaml` (built by `tools/build_uk_atomic_area_supports.py` from the published ONS, NRS and NISRA lookups; publisher registration PolicyEngine/chronicle#269). `--geography-assignment atomic` is the default and requires all three; `--atomic-support-sha256-{ew,scotland,ni}` pin them like `--ladder-sha256`, and a release candidate requires all four pins. `--geography-assignment legacy` keeps the previous sequential ladder draw for measurement builds, takes no supports, and is refused by `--release-candidate`. + The checkpoint must bind the exact frame content, the current spine stage roster and the gate-report bytes. The bound-spine node compares the checkpoint's gate report digests with the branch's own gate declarations and refuses a spine whose gate manifest differs from them, so `--input-h5` needs a spine built by a branch with the same declarations; every acceptance spine on disk when this registration landed predates them and is not admitted. Historical candidate H5 files and reviewed-bypass sidecars are not alternate build sources. Chronicle facts and manifest must match the independently reviewed national and local feed declarations; filtering targets does not relax source validation. -The target registry binds Census household and demographic rows from the reviewed Chronicle feed, including the approved Northern Ireland constituency geography. The OA ladder supplies geographic assignment and lookup support. Its household counts are not a second source of calibration targets. Source receipts retain the Chronicle identity and the paired ladder digest, so target values and the geography used to assign households can be audited separately. +The target registry binds Census household and demographic rows from the reviewed Chronicle feed, including the approved Northern Ireland constituency geography. Geography is assigned after expansion by the shared atomic-geography operators (microcosm#931): `uk.full.identity` keys every household with `household_draw_key` from the spine's explicit lineage (source household id, SPI support channel and clone index, CGT clone and donor flags) and the pool clone index; `uk.full.geography.assign` draws one atomic area per household (E&W 2021 Output Area, Scotland 2022 Output Area, NI 2021 Data Zone) by census household count within the household's FRS region, with a keyed `sha256-u53-v1` stream so a household's draw never depends on row order, K or any other household; `uk.full.geography.derive` reads every larger geography off the support's versioned mappings; `uk.full.geography.local_authority` resolves the engine's `local_authority` key from the derived authority code (the same resolver the ladder path uses); the shared `uk.full.geography.gate` and the UK distribution gate `uk.full.geography_gate` follow, and `uk.full.pool` refuses unless the shared gate passed. The OA ladder still supplies the constituency and local-authority rosters, household dispersion and lookup support for target compilation; its household counts are not a second source of calibration targets. Source receipts retain the Chronicle identity, the paired ladder digest and the geography binding (assignment mode, definition sha256, support pins, identity column, stream), so target values and the geography used to assign households can be audited separately. To include raw spine construction in the same execution, pass `--spine-request /data/uk/spine-request.json` instead of `--input-h5`. This file is a JSON array of the raw-source arguments accepted by `uk_runtime.spine_build` (the arguments of `tools/build_uk_frs_spine.py`): @@ -63,7 +68,11 @@ The spine graph is the 33-stage source roster declared by the UK spec, built by | Bound checkpoint admission | `uk.full.spine_checkpoint`, when resuming a saved spine | | Pool sample and mass normalization | `uk.full.sample`, `uk.full.normalize` | | Linked entity expansion and ancestry | `uk.full.expand`, `uk.full.expand.owned` | -| Location draw, mapping and integrity | `uk.full.locations`, `uk.full.geography_mapping`, `uk.full.geography_gate` | +| Post-clone household identity | `uk.full.identity` | +| Atomic-area support import, identity-keyed assignment, derivation and shared integrity gate | `uk.full.geography.support.{0,1,2}`, `uk.full.geography.assign`, `uk.full.geography.derive`, `uk.full.geography.gate` (shared `geography.*@1` kernels) | +| Engine local-authority key from the derived authority code | `uk.full.geography.local_authority` | +| UK geography distribution gate | `uk.full.geography_gate` | +| Legacy sequential ladder draw (`--geography-assignment legacy`, measurement builds only) | `uk.full.locations`, `uk.full.geography_mapping`, `uk.full.geography_gate` | | Full pinned source/register compilation | `uk.full.target_compilation` | | Explicit target selection and inclusion/exclusion receipt | `uk.full.target_selection` | | Engine measures and ordered contribution problem | `uk.full.measures`, `uk.full.problem` | @@ -77,7 +86,7 @@ The spine graph is the 33-stage source roster declared by the UK spec, built by The modules under `uk_runtime` divide the roster: `graph_build` composes the graph over the bound spine, `graph_population` owns sample through the geography gate, `graph_targets` owns target compilation through the problem, `graph_calibration` owns the dense solve, the size nodes and the calibrated population, `graph_terminal` owns the gate nodes, the holdout, the export and the package, `full_certification` owns the terminal certification node, and `full_build_cli` resolves the request, executes graph endpoints and atomically materialises their stored artifacts. -`operations.json` is generated from the compiled graph, including actual dependencies and artifact owners. It is the execution inventory, rather than a second manually maintained pipeline roster. Composite source/model stages preserve their existing numerical boundary; for example, WAS retains its joint donor/recipient encoding dependency. This registration does not change imputation order, RNG consumption, clone IDs or geography methodology. +`operations.json` is generated from the compiled graph, including actual dependencies and artifact owners. It is the execution inventory, rather than a second manually maintained pipeline roster. Composite source/model stages preserve their existing numerical boundary; for example, WAS retains its joint donor/recipient encoding dependency. This registration does not change imputation order, RNG consumption or clone IDs; the geography draw is the identity-keyed atomic-area assignment of microcosm#931 (measured in `experiments/931-uk-atomic-assignment-receipts.md`), with the sequential ladder draw retained behind `--geography-assignment legacy` for measurement builds. Shared machinery includes graph execution/storage/replay, typed artifacts, explicit same-kind weight updates, target selection receipts, ordered sparse calibration problem/solution/result codecs, exact-count selection, atomic artifact materialization and bundle publication. UK adapters retain source interpretation, entity relationships, geography mappings, measure bindings and gate prescriptions. diff --git a/experiments/931-uk-atomic-assignment-receipts.md b/experiments/931-uk-atomic-assignment-receipts.md new file mode 100644 index 000000000..e1dc06140 --- /dev/null +++ b/experiments/931-uk-atomic-assignment-receipts.md @@ -0,0 +1,63 @@ +# UK #931 step 2 — atomic-area assignment before/after receipts + +Assignment-level measurement of the identity-keyed single-stage atomic-area draw against the legacy sequential ladder draw, at design weights and with no solve, on the canonical spine-r checkpoint. Recorder: `tools/measure_uk_atomic_assignment.py` (diagnostic only; it never gates and release builds do not run it). Umbrella issue: PolicyEngine/microcosm#931 (item a); Chronicle registration of the publisher files: PolicyEngine/chronicle#269. + +Disclosure: the committed 1 % evidence and this file report population aggregates only. Per-area counts below 3 are written as `<3`, no unit record appears, and the 100 % evidence stays in the licensed spool (its sha256 is recorded here so a reviewer with access can check it). + +## R0 — identity + +- Branch `uk-geography-step2` (worktree `repos/populace-step2`) on #901's head 2da4f421; commits 3cc384c4 (supports and provenance) and fef75c3f (identity kernel, node swap, CLI, export); this file lands with the harness commit. +- Spine: `spine-r.h5` (791-relationships acceptance checkpoint, 29-stage roster), sha256 `921612e88eefcf21511ac6ad5faf60a1514f577490188c6e39aec49cb4224f27`; 52,846 households (32,754 FRS rows, 20,092 SPI support copies) from 16,288 source households; bound through `full_build_cli.prepare_full_build` with its `.build.json` and `.spine_gates.json` sidecars. +- Ladder: `uk_oa_ladder_2021.npz` sha256 `bed3f13d3a82eea2d1f39248b71c0abf5ba6960a446ddd9415ae1dbcb7ae07fd` (the pinned ladder; rosters and dispersion checks only under the keyed law). +- Supports (`uk/uk_atomic_area_supports.provenance.json`): E&W `1b0dec268be0141f03ec05dc3b55c13733cc2bb20be5e403d76d73c8e27dc797`, Scotland `1649fa831315e6fac80caa4af7f68e837fd985b7f59c2831bb0db8cbfeeee443`, NI `facb9923f589cb68eefa8fad37911e618b6137964ff58a231976ef62584b669f`. +- Assignment definition (seed 42, single-stage law): sha256 `a21816908110cb02dc82aebc373edfef2e85b38c6c7ac70955ac21d343869521`; stream `["sha256-u53-v1", "uk-post-clone-atomic-area-v1", 0, 42]`; identity column `geography_household_key`; identity source `frs`, vintage `2024_25`. +- Chronicle feed `ec7169b` (facts `4a50ee95…`) as pinned; not read by these cells (the subgraph stops at the two geography gates). +- Grid: {legacy, keyed} × {K=1, K=15} × {f001 (sample seed 578, committed), f100 (licensed spool)}; pool seed 42; constituency vintage `2024_pcon`; the same `uk.full.sample` / `uk.full.expand` nodes serve both laws at a given K (cache hits on the second law). +- Both laws run the same UK distribution gate (`uk.full.geography_gate`); the keyed law also runs the shared `uk.full.geography.gate`, whose typed verdict `uk.full.pool` consumes. + +## R1 — f001 (1 %, sample seed 578; committed evidence) + +Evidence: `docs/evidence/uk-931/atomic-assignment-cells.json`, sha256 `32f494dff98e81c58fbaa8c03d1a425c1684277e36d4b62757a50f66f44a2a49` (4 cells × 1,011 areas; 985 area counts suppressed as `<3`). + +| law | K | rows | source hh | gate | shared gate | London share | const. min rows / ESS / sources | const. max abs z / share abs z>3 (n) | const. breaches | LA min rows / ESS / sources | LA max abs z / share>3 (n) | LA breaches | identity stable | K-growth nested | +|---|---:|---:|---:|---|---|---:|---|---|---:|---|---|---:|---|---| +| legacy | 1 | 502 | 156 | pass | n/a | 0.1303 | 0 / 0.0 / 0 | n/a (0) | 650 | 0 / 0.0 / 0 | 1.96 / 0.0000 (8) | 361 | n/a | n/a | +| keyed | 1 | 502 | 156 | pass | pass | 0.1303 | 0 / 0.0 / 0 | n/a (0) | 650 | 0 / 0.0 / 0 | 1.94 / 0.0000 (8) | 361 | yes | yes | +| legacy | 15 | 7,530 | 156 | pass | n/a | 0.1303 | 2 / 1.7 / 2 | 3.67 / 0.0077 (649) | 650 | 0 / 0.0 / 0 | 2.92 / 0.0000 (355) | 361 | n/a | n/a | +| keyed | 15 | 7,530 | 156 | pass | pass | 0.1303 | 2 / 1.7 / 2 | 4.07 / 0.0031 (649) | 650 | 0 / 0.0 / 0 | 2.77 / 0.0000 (355) | 361 | yes | yes | + +Every area breaches the 50 floors at 1 % by construction (the rung exists to exercise the path, not to measure support). The region weight mix is identical across laws at each K, the London share is identical, and the keyed law's production columns equal the in-process re-draw on the same, reversed and clone-0 rows. + +## R2 — f100 (100 %; licensed spool) + +Evidence (spool, not committed): `f100-cells.json` sha256 `22e909af5f34549817ccd6a62fe334f9b3230e6db9e49b2941817bff448c514d`. + +| law | K | rows | source hh | gate | shared gate | London share | const. min rows / ESS / sources | const. max abs z / share abs z>3 (n) | const. max rel err (n≥100) | const. breaches | LA min rows / ESS / sources | LA max abs z / share>3 (n) | LA max rel err (n≥100) | LA breaches | identity stable | K-growth nested | +|---|---:|---:|---:|---|---|---:|---|---|---|---:|---|---|---|---:|---|---| +| legacy | 1 | 52,846 | 16,288 | pass | n/a | 0.1264 | 28 / 12.9 / 27 | 3.38 / 0.0031 (650) | 0.2249 (81) | 145 | 2 / 1.6 / 2 | 3.14 / 0.0028 (360) | 0.2331 (198) | 40 | n/a | n/a | +| keyed | 1 | 52,846 | 16,288 | pass | pass | 0.1264 | 34 / 17.4 / 32 | 3.35 / 0.0015 (650) | 0.2405 (81) | 148 | 0 / 0.0 / 0 | 3.25 / 0.0083 (360) | 0.2401 (197) | 40 | yes | yes | +| legacy | 15 | 792,690 | 16,288 | pass | n/a | 0.1264 | 394 / 339.9 / 354 | 3.14 / 0.0062 (650) | 0.1194 (650) | 0 | 18 / 16.6 / 18 | 2.96 / 0.0000 (361) | 0.0795 (359) | 1 (E06000053) | n/a | n/a | +| keyed | 15 | 792,690 | 16,288 | pass | pass | 0.1264 | 428 / 363.3 / 375 | 3.52 / 0.0046 (650) | 0.1159 (650) | 0 | 17 / 14.1 / 17 | 3.36 / 0.0028 (361) | 0.1068 (359) | 1 (E06000053) | yes | yes | + +Reviewed exclusions at design weights, K=15: Isles of Scilly E06000053 breaches all three floors under both laws (legacy 18 rows / ESS 16.6 / 18 sources, keyed 17 / 14.1 / 17, expected 25 under both). City of London E09000001 clears all three floors under both laws (legacy 72 / 55.4 / 72, keyed 75 / 65.4 / 73; expected rows 75.2 legacy, 87.2 keyed): its register entry (ESS 11.0 on the R17 release candidate) is a calibration-time breach, not a design-weight one, so this measurement neither confirms nor retires it. + +Cold wall times (first f100 run, before cache; seconds): legacy K=1 locations 0.7, mapping 0.8, UK gate 8.7; keyed K=1 identity 0.5, assign 9.8, derive 0.9, shared gate 1.6, UK gate 8.4; legacy K=15 locations 4.9, mapping 8.7, UK gate 143.8; keyed K=15 identity 13.1, assign 851.6, derive 25.9, shared gate 20.3, UK gate 213.0. Cell walls including population materialisation and measurement: legacy K=15 438 s, keyed K=15 1,391 s. Peak RSS 7.9 GB on the cold run, 10.4 GB on the cached re-run (two K=15 populations materialised). Total for the eight cells: 61 min cold plus 37 min for the re-run that added the shared gate. + +## R3 — pre-registered readings + +- Constituency-grain expectations identical between laws: **holds** (max absolute difference 0 at K=1 and K=15; the single-stage law and the two-stage law agree exactly at the constituency grain because both draw constituency mass by census households within region). +- LA-grain differences reported per LA: at K=15, 25 of 361 LAs move by more than 2 % and 3 by more than 5 %: E09000001 (City of London) 75.2 → 87.2 (+16.0 %), E07000180 1,379.6 → 1,464.2 (+6.1 %), E07000178 1,487.1 → 1,406.6 (−5.4 %); median absolute shift 0.4 %. The keyed law allocates LA mass by census households instead of by usual-resident population within the drawn constituency, so LAs with atypical persons-per-household move. +- Realized vs expected, max |z| ≤ 4.5 and share |z| > 3 ≤ 1 %: **holds** at every cell (max |z| 3.52, worst share 0.83 %). +- Max relative error ≤ 3 % for expected ≥ 100: **fails as written** at every f100 cell (11.6 %–24 %), under both laws equally. The reading was mis-specified: the maximum over 650 binomial cells of expectation 100–1,500 has a relative sd of 2.6 %–10 %, so a 12 % maximum at K=15 is |z| ≈ 3, which the z readings above already bound. Recorded, not treated as a defect of either law. +- K=15 design-weight breaches: 0 constituency breaches under both laws (**holds**); LA breaches exactly {E06000053} under both laws, not {E06000053, E09000001} (see R2: City of London's exclusion is calibration-time). +- K=1 legacy reproduces #762 R1 (28 / 15.3 / 28; 1 / 1.0 / 1): **not to the row** (28 / 12.9 / 27 and 2 / 1.6 / 2). R1 was measured on a different spine (spine-k, before #791/#903 and the later stage additions); the constituency minimum agrees, ESS and sources move with the spine. No same-spine R1 exists to compare against. +- Keyed within ±10 % of the legacy constituency minima at K=1: 34 vs 28 rows (+21 %), ESS 17.4 vs 12.9, sources 32 vs 27. The band was too tight for a minimum statistic over 650 cells whose expectation is ≈30 rows (sd ≈ 5.5); the shift is +1.1 sd and the two laws' expectations are identical at this grain. At K=15 the minima are 428 vs 394 rows (+8.6 %). +- Region mix and London share identical across laws: **holds** (bitwise-identical weight shares at each K; London 0.1264 at f100). +- Identity stability true (production = in-process re-draw on the same table, on reversed rows, on the clone-0 subset; keys unique): **holds** at every keyed cell. +- K=1 draws ⊂ K=15 draws under the keyed law: **holds** at both rungs. +- Cost ≤ 10 min and ≤ 12 GB at f100/K=15: RSS **holds** (7.9 GB cold, 10.4 GB re-run); wall **fails** for the keyed law (cold geography nodes 1,124 s ≈ 18.7 min, of which `assign_atomic` 852 s and the UK distribution gate 213 s; legacy 158 s). The A7 budget (identity + assign + derive + both gates ≤ 15 min at K=15) is exceeded by 3.7 min: `assign_atomic` iterates households in Python (`iloc` per row); `validate_geography` (20 s) is not the bottleneck. Flagged for Max to vectorise the shared kernel; the UK distribution gate's per-row regex loop (144–213 s, pre-existing) is a UK follow-up. +- Production-path equality (the production columns equal an in-process re-draw): **holds**. + +## R4 — disposition + +The keyed single-stage law is adopted as the default (`--geography-assignment atomic`) with the legacy draw retained for measurement builds; nothing here certifies a release. Open items carried to the progress log: the `assign_atomic` wall time at K=15 (shared, Max), the City of London exclusion's calibration-time status (unchanged by this PR), the three pre-registration readings that were mis-specified (recorded above so the next PR pre-registers z-based bounds), and the F8 export-surface naming gap. diff --git a/packages/microcosm-build/src/microcosm/build/atomic_geography.py b/packages/microcosm-build/src/microcosm/build/atomic_geography.py new file mode 100644 index 000000000..dc419490f --- /dev/null +++ b/packages/microcosm-build/src/microcosm/build/atomic_geography.py @@ -0,0 +1,591 @@ +"""Country-neutral atomic geography support, assignment and functional lookups. + +Publisher adapters supply one row per atomic area. Country declarations choose +constraints, sampling stages and output names. Observed geography is never +overwritten. This module does not acquire sources or certify their authority. +""" + +from __future__ import annotations + +import bisect +import hashlib +import json +from collections.abc import Mapping +from dataclasses import dataclass +from io import BytesIO +from types import MappingProxyType +from zipfile import ZIP_DEFLATED, ZipFile, ZipInfo + +import numpy as np +import pandas as pd + +from microcosm.graph.canonical import canonical_json +from microcosm.graph.randomness import keyed_uniform + +RELATIONS = frozenset({"exact", "best_fit", "official_tabulation", "inferred_modal"}) +_U53 = 2**53 + + +def _require(condition: bool, message: str) -> None: + if not condition: + raise ValueError("Atomic geography: " + message) + + +def _text(value: object) -> bool: + return isinstance(value, str) and bool(value) and value.strip() == value + + +def _unique_json(pairs): + result = {} + for key, value in pairs: + _require(key not in result, "duplicate metadata key") + result[key] = value + return result + + +@dataclass(frozen=True) +class AtomicSupport: + """Validated, immutable arrays decoded from a pinned support artifact.""" + + metadata: Mapping + arrays: Mapping[str, np.ndarray] + sha256: str + + +def encode_atomic_support(metadata: Mapping, arrays: Mapping[str, np.ndarray]) -> bytes: + """Create deterministic NPZ bytes; validate through the same decoder as readers.""" + _require("metadata_json" not in arrays, "reserved metadata array") + output = BytesIO() + members = {**arrays, "metadata_json": np.asarray(canonical_json(metadata).decode())} + with ZipFile(output, "w", compression=ZIP_DEFLATED) as archive: + for name, array in sorted(members.items()): + _require(_text(name) and name.isidentifier(), "invalid array name") + member = BytesIO() + np.lib.format.write_array(member, np.asarray(array), allow_pickle=False) + info = ZipInfo(name + ".npy", date_time=(1980, 1, 1, 0, 0, 0)) + info.compress_type = ZIP_DEFLATED + archive.writestr(info, member.getvalue()) + payload = output.getvalue() + decode_atomic_support(payload) + return payload + + +def decode_atomic_support(payload: bytes) -> AtomicSupport: + """Refuse ambiguous mappings, object arrays, untyped columns and invalid weights.""" + _require(type(payload) is bytes, "support requires immutable bytes") + with np.load(BytesIO(payload), allow_pickle=False) as archive: + _require(len(set(archive.files)) == len(archive.files), "duplicate array") + meta_array = archive["metadata_json"] + _require( + meta_array.shape == () and meta_array.dtype.kind == "U", "metadata encoding" + ) + metadata = json.loads(str(meta_array.item()), object_pairs_hook=_unique_json) + _require( + isinstance(metadata, dict) + and set(metadata) + == {"version", "system", "level", "code_system", "vintage", "columns"} + and type(metadata["version"]) is int + and metadata["version"] == 1, + "metadata schema", + ) + _require( + all( + _text(metadata[k]) + for k in ("system", "level", "code_system", "vintage") + ), + "area identity", + ) + columns = metadata["columns"] + _require( + isinstance(columns, dict) and "area" in columns and bool(columns), + "column metadata", + ) + _require(set(archive.files) == {"metadata_json", *columns}, "undeclared array") + arrays = {} + for name, description in columns.items(): + _require( + _text(name) and name.isidentifier() and name != "metadata_json", + "column name", + ) + _require(isinstance(description, dict), "column description") + array = archive[name] + _require( + array.ndim == 1 and len(array) > 0, "nonempty one-dimensional support" + ) + kind = description.get("kind") + if kind == "code": + _require( + set(description) == {"kind", "source", "vintage", "relation"}, + "code metadata", + ) + _require( + array.dtype.kind == "U" and np.all(np.char.str_len(array) > 0), + "nonempty string codes", + ) + _require(np.all(np.char.strip(array) == array), "whitespace in codes") + _require( + _text(description["vintage"]) + and description["relation"] in RELATIONS, + "mapping relation or vintage", + ) + else: + _require( + kind == "weight" + and set(description) == {"kind", "source", "basis"}, + "weight metadata", + ) + _require( + array.dtype.kind in "iu" and np.all(array >= 0), + "nonnegative integer weights", + ) + _require(_text(description["basis"]), "sampling basis") + # Python accumulation cannot wrap before the bound is checked. + total = sum(int(value) for value in array) + _require(0 < total <= _U53, "weight total outside exact sampling range") + array = array.astype(np.int64) + _require(_text(description["source"]), "source identity") + # Bytes-backed arrays cannot be made writable by changing flags. + arrays[name] = np.frombuffer(array.tobytes(), dtype=array.dtype) + area = arrays["area"] + _require(columns["area"]["kind"] == "code", "atomic area must be a code") + _require( + columns["area"]["vintage"] == metadata["vintage"], "atomic vintage mismatch" + ) + _require( + columns["area"]["relation"] == "exact", "atomic identity must be exact" + ) + _require( + all(len(a) == len(area) for a in arrays.values()), "array lengths differ" + ) + _require(len(np.unique(area)) == len(area), "atomic codes must be unique") + _require( + any(c["kind"] == "weight" for c in columns.values()), + "missing sampling weights", + ) + frozen = { + **metadata, + "columns": MappingProxyType( + {k: MappingProxyType(v) for k, v in columns.items()} + ), + } + return AtomicSupport( + MappingProxyType(frozen), + MappingProxyType(arrays), + hashlib.sha256(payload).hexdigest(), + ) + + +def validate_assignment_spec(spec: Mapping) -> dict: + """Normalize a graph parameter mapping without accepting undeclared options. + + All geography code columns use strings, preserving leading zeroes. A later + engine adapter may declare a separate storage conversion when needed. + """ + value = json.loads(canonical_json(spec)) + _require( + set(value) == {"version", "identity", "stream", "outputs", "systems"} + and value["version"] == 1 + and type(value["version"]) is int, + "assignment schema", + ) + identity, outputs, systems = value["identity"], value["outputs"], value["systems"] + _require( + isinstance(identity, list) + and bool(identity) + and all(_text(c) for c in identity) + and len(set(identity)) == len(identity), + "stable identity columns", + ) + _require( + isinstance(outputs, dict) + and set(outputs) == {"area", "system", "basis"} + and all(_text(c) for c in outputs.values()) + and len(set(outputs.values())) == 3, + "assignment outputs", + ) + keyed_uniform(stream=tuple(value["stream"]), keys=[]) + _require(isinstance(systems, list) and bool(systems), "area systems") + ids, layers = set(), {} + for system in systems: + _require( + isinstance(system, dict) + and set(system) + == { + "id", + "level", + "code_system", + "vintage", + "source", + "selector", + "constraints", + "observed_area", + "stages", + "layers", + }, + "system schema", + ) + _require( + all( + _text(system[k]) + for k in ("id", "level", "code_system", "vintage", "source") + ), + "system identity", + ) + _require(system["id"] not in ids, "duplicate system") + ids.add(system["id"]) + selector = system["selector"] + _require( + isinstance(selector, dict) + and all( + _text(c) + and isinstance(v, list) + and bool(v) + and all(_text(x) for x in v) + and len(set(v)) == len(v) + for c, v in selector.items() + ), + "system selector", + ) + _require( + system["observed_area"] is None or _text(system["observed_area"]), + "observed atomic column", + ) + constraints = system["constraints"] + _require(isinstance(constraints, list), "constraints") + seen = set() + for c in constraints: + _require( + isinstance(c, dict) + and set(c) == {"input", "support", "required"} + and _text(c["input"]) + and _text(c["support"]) + and type(c["required"]) is bool, + "constraint schema", + ) + _require( + c["support"] not in seen and c["support"] != "area", + "duplicate or atomic constraint", + ) + seen.add(c["support"]) + stages = system["stages"] + _require(isinstance(stages, list) and bool(stages), "sampling stages") + _require( + all( + isinstance(s, dict) + and set(s) == {"level", "weight"} + and _text(s["level"]) + and _text(s["weight"]) + for s in stages + ), + "stage schema", + ) + _require( + stages[-1]["level"] == "area" + and len({s["level"] for s in stages}) == len(stages), + "stages must end at the unique atomic level", + ) + _require(isinstance(system["layers"], list), "layers") + local_layers = set() + for layer in system["layers"]: + _require( + isinstance(layer, dict) + and set(layer) == {"input", "output", "vintage", "relation", "source"} + and all(_text(x) for x in layer.values()) + and layer["relation"] in RELATIONS, + "layer schema", + ) + name = layer["output"] + _require( + name not in outputs.values() and name not in local_layers, + "duplicate layer output", + ) + local_layers.add(name) + layers.setdefault(name, []).append(layer) + required = set(identity) + for system in systems: + required.update(system["selector"]) + required.update(c["input"] for c in system["constraints"]) + if system["observed_area"]: + required.add(system["observed_area"]) + _require( + not required.intersection({*outputs.values(), *layers}), + "observed or identity columns would be overwritten", + ) + return value + + +def _bind(spec: Mapping, supports: Mapping[str, AtomicSupport]): + spec = validate_assignment_spec(spec) + _require( + set(supports) == {s["id"] for s in spec["systems"]}, "support systems differ" + ) + for system in spec["systems"]: + support = supports[system["id"]] + _require( + all( + support.metadata[k] == system[v] + for k, v in ( + ("system", "id"), + ("level", "level"), + ("code_system", "code_system"), + ("vintage", "vintage"), + ) + ), + "support identity differs from declaration", + ) + columns = support.metadata["columns"] + for c in system["constraints"]: + _require( + c["support"] in columns and columns[c["support"]]["kind"] == "code", + "unknown constraint", + ) + for s in system["stages"]: + _require( + s["level"] in columns + and columns[s["level"]]["kind"] == "code" + and s["weight"] in columns + and columns[s["weight"]]["kind"] == "weight", + "unknown stage column", + ) + for layer in system["layers"]: + description = columns.get(layer["input"], {}) + _require( + description.get("kind") == "code" + and all( + description[k] == layer[k] + for k in ("source", "vintage", "relation") + ), + "layer source, relation or vintage differs", + ) + return spec + + +def _route(households: pd.DataFrame, spec: Mapping) -> dict[str, np.ndarray]: + masks, claimed = {}, np.zeros(len(households), dtype=np.int64) + for system in spec["systems"]: + mask = np.ones(len(households), dtype=bool) + for name, accepted in system["selector"].items(): + mask &= households[name].isin(accepted).to_numpy() + masks[system["id"]] = np.flatnonzero(mask) + claimed += mask + _require(np.all(claimed == 1), "every household must match exactly one area system") + return masks + + +def _constraints(row, system) -> tuple: + values = [] + for c in system["constraints"]: + value = row[c["input"]] + if pd.isna(value): + _require(not c["required"], "missing required observed geography") + else: + _require(_text(value), "observed codes require nonempty strings") + values.append((c["support"], value)) + return tuple(sorted(values)) + + +class _SupportIndex: + """Index each observed-column pattern once, rather than scanning per household.""" + + def __init__(self, support): + self.support = support + self.groupings = {} + self.area_index = pd.Index(support.arrays["area"]) + self.draw_cells = {} + + def rows(self, constraints): + columns = tuple(k for k, _ in constraints) + if columns not in self.groupings: + if columns: + table = pd.DataFrame({c: self.support.arrays[c] for c in columns}) + # Always group by a list: normalize pandas' single-column key below. + groups = table.groupby(list(columns), sort=False, observed=True).indices + self.groupings[columns] = { + (k,) if len(columns) == 1 and not isinstance(k, tuple) else k: v + for k, v in groups.items() + } + else: + self.groupings[columns] = {(): np.arange(len(self.area_index))} + key = tuple(v for _, v in constraints) + _require( + key in self.groupings[columns], + "observed constraints have no common support", + ) + return self.groupings[columns][key] + + def pick(self, constraints, stage, u): + key = (constraints, stage["level"], stage["weight"]) + if key not in self.draw_cells: + rows = self.rows(constraints) + levels, inverse = np.unique( + self.support.arrays[stage["level"]][rows], return_inverse=True + ) + weights = np.zeros(len(levels), dtype=np.int64) + np.add.at(weights, inverse, self.support.arrays[stage["weight"]][rows]) + cumulative = np.cumsum(weights).tolist() + _require(cumulative[-1] > 0, "constraint cell has zero sampling mass") + self.draw_cells[key] = levels, cumulative + levels, cumulative = self.draw_cells[key] + # Integer inverse CDF: no floating-point rounding across a cell boundary. + threshold = (int(u * _U53) * cumulative[-1]) // _U53 + return str(levels[bisect.bisect_right(cumulative, threshold)]) + + +def assign_atomic( + households: pd.DataFrame, spec: Mapping, supports: Mapping[str, AtomicSupport] +) -> pd.DataFrame: + """Select atomic areas without changing row order, ids or observed geography.""" + spec = _bind(spec, supports) + _require( + not set(spec["outputs"].values()).intersection(households.columns), + "assignment output already exists", + ) + _require( + not households[spec["identity"]].isna().any().any() + and not households.duplicated(spec["identity"]).any(), + "null or duplicate draw identity", + ) + routing = _route(households, spec) + result = pd.DataFrame(index=households.index) + for name in spec["outputs"].values(): + result[name] = pd.array([pd.NA] * len(households), dtype="string") + definition = hashlib.sha256(canonical_json(spec)).hexdigest() + for system in spec["systems"]: + positions = routing[system["id"]] + support = supports[system["id"]] + index = _SupportIndex(support) + identities = list( + households.iloc[positions][spec["identity"]].itertuples( + index=False, name=None + ) + ) + draws = [ + keyed_uniform( + stream=tuple(spec["stream"]), + keys=[ + ( + *identity, + system["id"], + stage["level"], + definition, + support.sha256, + ) + for identity in identities + ], + ) + for stage in system["stages"] + ] + for local, position in enumerate(positions): + row = households.iloc[position] + constraints = _constraints(row, system) + area = row[system["observed_area"]] if system["observed_area"] else None + observed = area is not None and not pd.isna(area) + if observed: + _require(_text(area), "invalid observed atomic code") + match = index.area_index.get_indexer([area])[0] + _require( + match >= 0 + and all( + support.arrays[c][match] == value for c, value in constraints + ), + "observed atomic code is unsupported or conflicts", + ) + else: + for stage, uniforms in zip(system["stages"], draws, strict=True): + area = index.pick(constraints, stage, uniforms[local]) + constraints = tuple( + sorted({**dict(constraints), stage["level"]: area}.items()) + ) + for key, value in ( + ("area", area), + ("system", system["id"]), + ("basis", "observed" if observed else "assigned"), + ): + result.iloc[position, result.columns.get_loc(spec["outputs"][key])] = ( + value + ) + return result + + +def derive_geography( + households: pd.DataFrame, spec: Mapping, supports: Mapping[str, AtomicSupport] +) -> pd.DataFrame: + """Functional area lookups, including explicitly identified non-nesting conventions.""" + spec = _bind(spec, supports) + routing = _route(households, spec) + result = pd.DataFrame(index=households.index) + for name in sorted( + {layer["output"] for s in spec["systems"] for layer in s["layers"]} + ): + result[name] = pd.array([pd.NA] * len(households), dtype="string") + for system in spec["systems"]: + positions = routing[system["id"]] + rows = households.iloc[positions] + support = supports[system["id"]] + assigned_system = rows[spec["outputs"]["system"]] + _require( + assigned_system.notna().all() and assigned_system.eq(system["id"]).all(), + "assigned system disagrees with routing", + ) + locations = pd.Index(support.arrays["area"]).get_indexer( + rows[spec["outputs"]["area"]] + ) + _require(np.all(locations >= 0), "missing atomic mapping") + for layer in system["layers"]: + result.iloc[positions, result.columns.get_loc(layer["output"])] = ( + support.arrays[layer["input"]][locations] + ) + return result + + +def validate_geography( + households: pd.DataFrame, spec: Mapping, supports: Mapping[str, AtomicSupport] +) -> dict: + """Recheck constraints and functional mappings on a full or pruned population. + + Draws are not repeated. Initial support clones receive their own assignment + after expansion; subsequent views retain it. Structural lineage verification + remains the executor's responsibility. This gate is not a population-quality + certificate. + """ + spec = _bind(spec, supports) + expected = derive_geography(households, spec, supports) + for name in expected: + _require( + households[name].astype("string").equals(expected[name]), + "derived geography differs from atomic mapping", + ) + routing = _route(households, spec) + for system in spec["systems"]: + support = supports[system["id"]] + rows = households.iloc[routing[system["id"]]] + positions = pd.Index(support.arrays["area"]).get_indexer( + rows[spec["outputs"]["area"]] + ) + for (_, row), position in zip(rows.iterrows(), positions, strict=True): + _require( + all( + support.arrays[c][position] == v + for c, v in _constraints(row, system) + ), + "assigned area violates observed geography", + ) + original = row[system["observed_area"]] if system["observed_area"] else None + observed = original is not None and not pd.isna(original) + _require( + row[spec["outputs"]["basis"]] + == ("observed" if observed else "assigned"), + "assignment basis differs", + ) + if observed: + _require( + row[spec["outputs"]["area"]] == original, + "observed atomic area changed", + ) + return { + "outcome": "pass", + "scope": "atomic_geography_mapping_integrity", + "households": len(households), + "support_sha256": {k: v.sha256 for k, v in sorted(supports.items())}, + "definition_sha256": hashlib.sha256(canonical_json(spec)).hexdigest(), + } diff --git a/packages/microcosm-build/src/microcosm/build/graph_atomic_geography.py b/packages/microcosm-build/src/microcosm/build/graph_atomic_geography.py new file mode 100644 index 000000000..a245992a8 --- /dev/null +++ b/packages/microcosm-build/src/microcosm/build/graph_atomic_geography.py @@ -0,0 +1,281 @@ +"""Typed graph nodes for the shared atomic-area geography contract. + +Countries supply declarations and normalized source bytes. Import, assignment, +derivation and the integrity gate remain independently inspectable operations. +These nodes do not change weights, rows, memberships or observed columns. +""" + +from __future__ import annotations + +import json +from collections.abc import Mapping, Sequence + +import pandas as pd + +from microcosm.build import atomic_geography as geography +from microcosm.graph import ( + ArtifactInput, + ArtifactOutput, + ArtifactType, + Capabilities, + Determinism, + KernelBase, + KernelContext, + KernelRegistry, + KernelResult, + Node, + Numeric, + Owned, + SeedSource, + Slice, + source_hash, +) +from microcosm.graph.canonical import canonical_json +from microcosm.graph.codecs import load_source_bytes +from microcosm.graph.kernel import KernelRole +from microcosm.graph.randomness import keyed_uniform + +ATOMIC_SUPPORT_TYPE = ArtifactType("microcosm.geography.atomic_support_npz", 1) +ATOMIC_GEOGRAPHY_VALIDATION_TYPE = ArtifactType( + "microcosm.geography.validation_result", 1 +) +_DEPENDENCIES = ("numpy", "pandas") + + +class _GeographyKernel(KernelBase): + def implementation_hash(self) -> str: + return source_hash( + type(self), + geography, + canonical_json, + keyed_uniform, + load_source_bytes, + dependencies=_DEPENDENCIES, + ) + + +class AtomicSupportImportKernel(_GeographyKernel): + ref = "geography.support_import@1" + capabilities = Capabilities( + determinism=Determinism.DETERMINISTIC, + numeric=Numeric.PLATFORM_BITWISE, + dependencies=_DEPENDENCIES, + ) + + def run(self, context: KernelContext) -> KernelResult: + if set(context.params) != {"source", "system"} or set(context.sources) != { + context.params["source"] + }: + raise ValueError( + "Atomic geography import requires its sole declared source." + ) + payload = load_source_bytes( + "raw-bytes-v1", context.sources[context.params["source"]] + ) + support = geography.decode_atomic_support(payload) + if support.metadata["system"] != context.params["system"]: + raise ValueError("Atomic geography source belongs to a different system.") + return KernelResult( + artifacts={"support": payload}, + receipt={ + "support_sha256": support.sha256, + "areas": len(support.arrays["area"]), + "metadata": support.metadata, + }, + ) + + +def _inputs(context): + if set(context.params) != {"definition", "stream"}: + raise ValueError( + "Atomic geography requires its canonical definition and stream." + ) + spec = geography.validate_assignment_spec(json.loads(context.params["definition"])) + if ( + canonical_json(spec).decode() != context.params["definition"] + or tuple(spec["stream"]) != context.params["stream"] + ): + raise ValueError("Atomic geography definition or stream differs.") + if set(context.artifacts) != {s["id"] for s in spec["systems"]}: + raise ValueError( + "Atomic geography requires exactly its declared support artifacts." + ) + supports = {} + for name, value in context.artifacts.items(): + if value.type != ATOMIC_SUPPORT_TYPE: + raise ValueError("Atomic geography artifact type differs.") + supports[name] = geography.decode_atomic_support(value.payload) + return context.tables["household"], spec, supports + + +def _result(context, frame, receipt): + if {(o.entity, o.column, o.dtype) for o in context.node.outputs} != { + ("household", c, "string") for c in frame + }: + raise ValueError("Atomic geography owned outputs differ from the declaration.") + index = pd.Index(context.tables["household"]["household_id"], name="household_id") + return KernelResult( + columns={ + ("household", c): pd.Series(frame[c].array, index=index) for c in frame + }, + receipt=receipt, + ) + + +class AtomicAssignKernel(_GeographyKernel): + ref = "geography.assign_atomic@1" + capabilities = Capabilities( + determinism=Determinism.SEEDED, + seed_source=SeedSource.KEYED, + numeric=Numeric.PLATFORM_BITWISE, + dependencies=_DEPENDENCIES, + ) + + def run(self, context: KernelContext) -> KernelResult: + households, spec, supports = _inputs(context) + output = geography.assign_atomic(households, spec, supports) + return _result( + context, + output, + { + "scope": "atomic_area_assignment", + "households": len(output), + "support_sha256": {k: v.sha256 for k, v in supports.items()}, + }, + ) + + +class AtomicDeriveKernel(_GeographyKernel): + ref = "geography.derive@1" + capabilities = Capabilities( + determinism=Determinism.DETERMINISTIC, + numeric=Numeric.PLATFORM_BITWISE, + dependencies=_DEPENDENCIES, + ) + + def run(self, context: KernelContext) -> KernelResult: + households, spec, supports = _inputs(context) + output = geography.derive_geography(households, spec, supports) + return _result( + context, + output, + { + "scope": "atomic_area_functional_lookup", + "layers": {s["id"]: s["layers"] for s in spec["systems"]}, + }, + ) + + +class AtomicGeographyGateKernel(_GeographyKernel): + ref = "geography.gate@1" + capabilities = Capabilities( + determinism=Determinism.DETERMINISTIC, + role=KernelRole.GATE, + numeric=Numeric.PLATFORM_BITWISE, + dependencies=_DEPENDENCIES, + ) + + def run(self, context: KernelContext) -> KernelResult: + households, spec, supports = _inputs(context) + outputs = context.node.artifact_outputs + expected = (ArtifactOutput("validation", ATOMIC_GEOGRAPHY_VALIDATION_TYPE),) + if outputs not in ((), expected): + raise ValueError( + "Atomic geography validation artifact declaration differs." + ) + receipt = geography.validate_geography(households, spec, supports) + return KernelResult( + receipt=receipt, + artifacts={"validation": canonical_json(receipt)} if outputs else {}, + ) + + +def atomic_geography_nodes( + spec: Mapping, + columns: Sequence[Owned], + *, + base: str, + prefix: str = "geography", + emit_validation_artifact: bool = False, +) -> tuple[Node, ...]: + """Append shared nodes to an existing population, refusing column rewrites. + + SourceRef declarations use each system's ``source`` and ``raw-bytes-v1``. + ``identity`` must be stable across the country's sampling rungs; this builder + cannot establish that property merely from a column name. + + The optional typed gate result orders downstream consumers. Its bytes alone + do not authenticate their receiving population or source ancestry. + """ + if type(emit_validation_artifact) is not bool: + raise ValueError("Atomic geography validation artifact flag must be boolean.") + spec = geography.validate_assignment_spec(spec) + inventory = {(o.entity, o.column): o for o in columns} + if len(inventory) != len(columns): + raise ValueError("Atomic geography input inventory repeats columns.") + inputs = set(spec["identity"]) + for system in spec["systems"]: + inputs.update(system["selector"]) + inputs.update(c["input"] for c in system["constraints"]) + if system["observed_area"]: + inputs.add(system["observed_area"]) + assignment = tuple(spec["outputs"].values()) + layers = tuple( + sorted({layer["output"] for s in spec["systems"] for layer in s["layers"]}) + ) + if any(("household", c) not in inventory for c in inputs): + raise ValueError("Atomic geography is missing a declared household input.") + if any(("household", c) in inventory for c in (*assignment, *layers)): + raise ValueError("Atomic geography refuses to overwrite existing columns.") + imports, artifacts = [], [] + for i, system in enumerate(spec["systems"]): + name = f"{prefix}.support.{i}" + imports.append( + Node( + id=name, + kernel=AtomicSupportImportKernel.ref, + population=base, + sources=(system["source"],), + params={"source": system["source"], "system": system["id"]}, + artifact_outputs=(ArtifactOutput("support", ATOMIC_SUPPORT_TYPE),), + ) + ) + artifacts.append( + ArtifactInput(system["id"], name, "support", ATOMIC_SUPPORT_TYPE) + ) + + def node(suffix, kernel, read, write=()): + return Node( + id=f"{prefix}.{suffix}", + kernel=kernel.ref, + population=base, + inputs=(Slice("household", tuple(sorted(read))),), + outputs=tuple(Owned("household", c, "string") for c in write), + params={ + "definition": canonical_json(spec).decode(), + "stream": tuple(spec["stream"]), + }, + artifact_inputs=tuple(artifacts), + artifact_outputs=( + (ArtifactOutput("validation", ATOMIC_GEOGRAPHY_VALIDATION_TYPE),) + if suffix == "gate" and emit_validation_artifact + else () + ), + ) + + return ( + *imports, + node("assign", AtomicAssignKernel, inputs, assignment), + node("derive", AtomicDeriveKernel, inputs | set(assignment), layers), + node("gate", AtomicGeographyGateKernel, inputs | set(assignment) | set(layers)), + ) + + +def register_atomic_geography_kernels(registry: KernelRegistry) -> None: + for kernel in ( + AtomicSupportImportKernel(), + AtomicAssignKernel(), + AtomicDeriveKernel(), + AtomicGeographyGateKernel(), + ): + registry.register(kernel) diff --git a/packages/microcosm-build/src/microcosm/build/spec_engine/resolver.py b/packages/microcosm-build/src/microcosm/build/spec_engine/resolver.py index 9c802277b..ded09d682 100644 --- a/packages/microcosm-build/src/microcosm/build/spec_engine/resolver.py +++ b/packages/microcosm-build/src/microcosm/build/spec_engine/resolver.py @@ -169,6 +169,7 @@ def contract_only_ids(self) -> frozenset[str]: "clone_assign_communities", "clone_assign_communes", "load_populace_us_support_pool", + "load_uk_atomic_area_support", "load_uk_national_frame", "silc_load", "uk_geography_ladder_gate", diff --git a/packages/microcosm-build/src/microcosm/build/uk/country_package.json b/packages/microcosm-build/src/microcosm/build/uk/country_package.json index 5c616c405..ff09ca97a 100644 --- a/packages/microcosm-build/src/microcosm/build/uk/country_package.json +++ b/packages/microcosm-build/src/microcosm/build/uk/country_package.json @@ -322,6 +322,11 @@ "kind": "legacy_json", "schema_id": "legacy_json" }, + { + "path": "uk_atomic_area_supports.provenance.json", + "kind": "legacy_json", + "schema_id": "legacy_json" + }, { "path": "target_references.json", "kind": "legacy_json", diff --git a/packages/microcosm-build/src/microcosm/build/uk/gates.json b/packages/microcosm-build/src/microcosm/build/uk/gates.json index 4649bdd13..8e7188c15 100644 --- a/packages/microcosm-build/src/microcosm/build/uk/gates.json +++ b/packages/microcosm-build/src/microcosm/build/uk/gates.json @@ -723,14 +723,20 @@ "benunit.uc_latent_deduction_rate", "benunit.uc_reported_capital", "benunit.would_claim_uc_childcare", + "household.atomic_area_basis", + "household.atomic_area_code", + "household.atomic_area_system", "household.bus_fare_spending", "household.bus_subsidy_spending", "household.cash_isa", "household.clone_index", "household.constituency_code_oa", "household.consumer_debt", + "household.data_zone_code", + "household.district_electoral_area_code", "household.electricity_consumption", "household.gas_consumption", + "household.geography_household_key", "household.has_fuel_consumption", "household.household_is_capital_gains_clone", "household.household_is_cgt_band_donor", @@ -738,6 +744,7 @@ "household.household_is_spi_synthetic", "household.household_local_bus_trips", "household.spi_income_band_donor_lower_bound", + "household.intermediate_zone_code", "household.la_code_oa", "household.local_authority", "household.lsoa_code", @@ -746,13 +753,15 @@ "household.num_vehicles", "household.oa_code", "household.ons_household_type", + "household.output_area_code", "household.private_pension_wealth", "household.property_purchased", "household.rail_usage", "household.region_code_oa", "household.stocks_and_shares_isa", - "person.aa_category", + "household.super_data_zone_code", "person.a_and_e_visits", + "person.aa_category", "person.admitted_patient_visits", "person.age_started_or_accepted_current_education_or_training", "person.attends_private_school_random_draw", @@ -764,9 +773,9 @@ "person.charitable_investment_gifts", "person.dla_m_category", "person.dla_sc_category", + "person.employment_sector", "person.esa_health_condition_proxy", "person.esa_support_group_proxy", - "person.employment_sector", "person.gift_aid", "person.highest_education", "person.is_before_universal_credit_qualifying_young_person_terminal_date", diff --git a/packages/microcosm-build/src/microcosm/build/uk/spec/geography.yaml b/packages/microcosm-build/src/microcosm/build/uk/spec/geography.yaml index 8adebf59e..1edbfc43e 100644 --- a/packages/microcosm-build/src/microcosm/build/uk/spec/geography.yaml +++ b/packages/microcosm-build/src/microcosm/build/uk/spec/geography.yaml @@ -2,7 +2,11 @@ phase: legacy status: >- Walking-skeleton declaration of the existing UK OA ladder kernels. The realized ladder artifact remains a run-time content-pinned input and is not - present in this checkout. + present in this checkout. The three UK atomic-area supports (sources.yaml, + role uk_atomic_area_support; uk_atomic_area_supports.provenance.json) back + the identity-keyed single-stage assignment the full build runs by default; + this declaration still attests the legacy ladder draw and moves to phase f3 + in the next PR under the geography-first umbrella issue. assignment: anchor: oa order: before_gap_fill diff --git a/packages/microcosm-build/src/microcosm/build/uk/spec/sources.yaml b/packages/microcosm-build/src/microcosm/build/uk/spec/sources.yaml index 1c9cc939e..34be443e9 100644 --- a/packages/microcosm-build/src/microcosm/build/uk/spec/sources.yaml +++ b/packages/microcosm-build/src/microcosm/build/uk/spec/sources.yaml @@ -101,6 +101,79 @@ sources: loader: kernel:build_uk_frs_spine vintages: - vintage:uk_frs_2024_25 +- id: uk_ew_output_area_2021_support + role: uk_atomic_area_support + sha256: 1b0dec268be0141f03ec05dc3b55c13733cc2bb20be5e403d76d73c8e27dc797 + byte_size: 1828698 + loader: kernel:load_uk_atomic_area_support + vintages: + - vintage:uk_oa_2021 + - vintage:uk_lad_2023 + - vintage:uk_rgn_2024 + - vintage:uk_pcon_2024 + - vintage:uk_wd_2024 + - vintage:uk_itl_2025 + vintage_authorities: + - id: uk_oa_2021 + kind: geography_vintage + value: 2021_census + - id: uk_lad_2023 + kind: geography_vintage + value: 2023_april_lad + - id: uk_rgn_2024 + kind: geography_vintage + value: 2024_rgn + - id: uk_pcon_2024 + kind: geography_vintage + value: 2024_pcon + - id: uk_wd_2024 + kind: geography_vintage + value: 2024_wd + - id: uk_itl_2025 + kind: geography_vintage + value: 2025_itl +- id: uk_scotland_output_area_2022_support + role: uk_atomic_area_support + sha256: 1649fa831315e6fac80caa4af7f68e837fd985b7f59c2831bb0db8cbfeeee443 + byte_size: 440439 + loader: kernel:load_uk_atomic_area_support + vintages: + - vintage:uk_oa_2022 + - vintage:uk_ca_2019 + - vintage:uk_scotland_ew_2022 + - vintage:uk_pcon_2024 + - vintage:uk_itl_2025 + vintage_authorities: + - id: uk_oa_2022 + kind: geography_vintage + value: 2022_census + - id: uk_ca_2019 + kind: geography_vintage + value: 2019_council_area + - id: uk_scotland_ew_2022 + kind: geography_vintage + value: 2022_ew +- id: uk_ni_data_zone_2021_support + role: uk_atomic_area_support + sha256: facb9923f589cb68eefa8fad37911e618b6137964ff58a231976ef62584b669f + byte_size: 44638 + loader: kernel:load_uk_atomic_area_support + vintages: + - vintage:uk_dz_2021 + - vintage:uk_lgd_2014 + - vintage:uk_dea_2014 + - vintage:uk_pcon_2024 + - vintage:uk_itl_2025 + vintage_authorities: + - id: uk_dz_2021 + kind: geography_vintage + value: 2021_census + - id: uk_lgd_2014 + kind: geography_vintage + value: 2014_lgd + - id: uk_dea_2014 + kind: geography_vintage + value: 2014_dea stage_manifest: version: 1 country: uk diff --git a/packages/microcosm-build/src/microcosm/build/uk/spec/vintages.yaml b/packages/microcosm-build/src/microcosm/build/uk/spec/vintages.yaml index 5431701d5..02b30c8c4 100644 --- a/packages/microcosm-build/src/microcosm/build/uk/spec/vintages.yaml +++ b/packages/microcosm-build/src/microcosm/build/uk/spec/vintages.yaml @@ -14,3 +14,219 @@ records: pointer: /dataset_run/target_period compatible_with: - vintage:uk_frs_2024_25 +- id: uk_ca_2019 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_scotland_output_area_2022_support + authority: uk_ca_2019 + compatible_with: + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_dea_2014 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ni_data_zone_2021_support + authority: uk_dea_2014 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_dz_2021 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ni_data_zone_2021_support + authority: uk_dz_2021 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_itl_2025 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ew_output_area_2021_support + authority: uk_itl_2025 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_lad_2023 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ew_output_area_2021_support + authority: uk_lad_2023 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_lgd_2014 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ni_data_zone_2021_support + authority: uk_lgd_2014 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_oa_2021 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ew_output_area_2021_support + authority: uk_oa_2021 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_oa_2022 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_scotland_output_area_2022_support + authority: uk_oa_2022 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_pcon_2024 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ew_output_area_2021_support + authority: uk_pcon_2024 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_rgn_2024 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ew_output_area_2021_support + authority: uk_rgn_2024 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_scotland_ew_2022 + - vintage:uk_wd_2024 +- id: uk_scotland_ew_2022 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_scotland_output_area_2022_support + authority: uk_scotland_ew_2022 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_wd_2024 +- id: uk_wd_2024 + kind: geography_vintage_ref + authority_ref: + kind: source_record + source: source:uk_ew_output_area_2021_support + authority: uk_wd_2024 + compatible_with: + - vintage:uk_ca_2019 + - vintage:uk_dea_2014 + - vintage:uk_dz_2021 + - vintage:uk_itl_2025 + - vintage:uk_lad_2023 + - vintage:uk_lgd_2014 + - vintage:uk_oa_2021 + - vintage:uk_oa_2022 + - vintage:uk_pcon_2024 + - vintage:uk_rgn_2024 + - vintage:uk_scotland_ew_2022 diff --git a/packages/microcosm-build/src/microcosm/build/uk/uk_atomic_area_supports.provenance.json b/packages/microcosm-build/src/microcosm/build/uk/uk_atomic_area_supports.provenance.json new file mode 100644 index 000000000..9d699c00a --- /dev/null +++ b/packages/microcosm-build/src/microcosm/build/uk/uk_atomic_area_supports.provenance.json @@ -0,0 +1,516 @@ +{ + "built_on": "2026-09-15", + "issues": { + "chronicle_registration": "PolicyEngine/chronicle#269", + "umbrella": "PolicyEngine/microcosm#931" + }, + "kind": "uk_atomic_area_supports_provenance", + "ladder_diff": { + "areas": 239023, + "changed_areas_by_column": { + "constituency_code": 0, + "households": 0, + "itl3_code": 87985, + "local_authority_code": 0, + "lsoa_code": 0, + "msoa_code": 0, + "population": 0, + "region_code": 0, + "ward_code": 37426 + }, + "unexpected_moves": {} + }, + "ladder_reference": { + "path": "uk_oa_ladder_2021.npz", + "sha256": "bed3f13d3a82eea2d1f39248b71c0abf5ba6960a446ddd9415ae1dbcb7ae07fd" + }, + "notes": [ + "E&W local_authority_code is the April 2023 LAD code set as published in the December 2024 OA->PARNCP->LAD->Region file (field LAD24CD); the 1 April 2025 Barnsley/Sheffield recode is a vintage-translation follow-up.", + "E&W region_code is read per OA from the same December 2024 file (RGN24CD); Wales carries the W99999999 sentinel, Scotland S99999999, NI N99999999.", + "The Ward 2024 file's LAD column is never read; the ITL 2025 file is joined on the April 2023 LAD codes (exact key join, #205 rule).", + "The ONS LAD->ITL file lists North Ayrshire (S12000021) under two ITL3 rows (TLM20 Arran and Cumbrae first, TLM93 North Ayrshire mainland second); the shared loader keeps the first row, so North Ayrshire carries TLM20, as the ladder's loader did with the January 2021 file. Follow-up: prefer the mainland LAU or an explicit override.", + "Scotland households are census 2022 occupied households summed from the NRS postcode index (cell-key perturbed)." + ], + "publisher_files": { + "lad_itl": { + "chronicle_package_id": "ons-lad-dec2024-itl-jan2025-lookup", + "chronicle_source_id": "ons", + "chronicle_year": 2025, + "item_id": "15bdb6b0ff1c4a64b34a64e2e39f8caf", + "product": "Local Authority District (December 2024) to LAU1 to ITL3 to ITL2 to ITL1 (January 2025) Lookup in the UK", + "publisher": "ONS", + "retrieved_at": "2026-09-15", + "sha256": "2db528a486fdefebfb03a3fb89d706d037cd10f06692c98cdef60a9b7796b284", + "size_bytes": 45097, + "url": "https://open-geography-portalx-ons.hub.arcgis.com/api/download/v1/items/15bdb6b0ff1c4a64b34a64e2e39f8caf/csv?layers=0", + "vintage": "2025_itl" + }, + "ni_geojson": { + "chronicle_package_id": "nisra-dz2021-geojson", + "chronicle_source_id": "nisra", + "chronicle_year": 2021, + "item_id": "", + "product": "Data Zone 2021 GeoJSON (SDZ2021, LGD2014 and DEA2014 properties)", + "publisher": "NISRA", + "retrieved_at": "2026-08-19", + "sha256": "3acb357ebdecae64dbc2fb645e62c68f529a00f7ae9c19684bd3b7a10e62676b", + "size_bytes": 26823947, + "url": "https://www.nisra.gov.uk/files/nisra/publications/geography-dz2021-geojson.zip", + "vintage": "2021_census" + }, + "ni_households": { + "chronicle_package_id": "nisra-census2021-dz21-households", + "chronicle_source_id": "nisra", + "chronicle_year": 2021, + "item_id": "", + "product": "Census 2021 table builder, households by DZ21", + "publisher": "NISRA", + "retrieved_at": "2026-08-19", + "sha256": "fa97a7f61036f9a3ec40ea6e3812249d87d0010375f0ff7df0b5d9f77864563d", + "size_bytes": 108641, + "url": "https://build.nisra.gov.uk/en/custom/table.csv?d=HOUSEHOLD&v=DZ21", + "vintage": "2021_census" + }, + "ni_parlcon24_lookup": { + "chronicle_package_id": "nisra-dz-sdz-lookups-v3", + "chronicle_source_id": "nisra", + "chronicle_year": 2025, + "item_id": "", + 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"kind": "code", + "relation": "best_fit", + "source": "nrs-census2022-index@sha256:0e4096a321cba2318dc5d2e35c197bf815ac333aebdf4cb0ddce82112b57a261", + "vintage": "2022_ew" + } + }, + "constituencies": 57, + "filename": "uk_scotland_output_area_2022_support.npz", + "households_total": 2508715, + "local_authorities": 32, + "population_total": 5440284, + "sha256": "1649fa831315e6fac80caa4af7f68e837fd985b7f59c2831bb0db8cbfeeee443", + "size_bytes": 440439, + "wards": 355 + } + }, + "tool": "tools/build_uk_atomic_area_supports.py" +} diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/__init__.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/__init__.py index 4ff9386d7..cd939f4bf 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/__init__.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/__init__.py @@ -293,6 +293,8 @@ LOCAL_AUTHORITY_ENGINE_KEY_ALIASES, UK_LOCAL_AUTHORITY_CODE_COLUMN, UK_LOCAL_AUTHORITY_INPUT_COLUMN, + UK_LOCAL_AUTHORITY_LADDER_VINTAGE, + UK_LOCAL_AUTHORITY_LADDER_VINTAGES, UK_LOCAL_AUTHORITY_NAMES_KIND, UK_LOCAL_AUTHORITY_NAMES_RESOURCE, UK_LOCAL_AUTHORITY_NAMES_SCHEMA_VERSION, @@ -1049,6 +1051,8 @@ "UK_LOCAL_AUTHORITY_NAMES_KIND", "UK_LOCAL_AUTHORITY_NAMES_RESOURCE", "UK_LOCAL_AUTHORITY_NAMES_SCHEMA_VERSION", + "UK_LOCAL_AUTHORITY_LADDER_VINTAGE", + "UK_LOCAL_AUTHORITY_LADDER_VINTAGES", "UK_LOCAL_AUTHORITY_VINTAGE", "load_uk_local_authority_names_resource", "local_authority_consistency_failures", diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_area_support.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_area_support.py new file mode 100644 index 000000000..32872b430 --- /dev/null +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_area_support.py @@ -0,0 +1,400 @@ +"""Convert supplied UK ladder arrays for shared atomic geography operators. + +This module does not acquire sources, admit native data, calibrate, or assign a +location. Source identities and mapping classifications are explicit caller +claims; publisher authentication belongs to the host. Initial spine/support +clones must exist before the resulting declaration is executed. +""" + +from __future__ import annotations + +import hashlib +import re +from collections.abc import Mapping +from numbers import Integral + +import numpy as np + +from microcosm.build.atomic_geography import ( + RELATIONS, + decode_atomic_support, + encode_atomic_support, + validate_assignment_spec, +) +from microcosm.build.uk_runtime.rowwise_geography import FRS_REGION_TO_REGION_CODE +from microcosm.graph.canonical import canonical_json + +SYSTEMS = ( + "uk_ew_output_area_2021", + "uk_scotland_output_area_2022", + "uk_ni_data_zone_2021", +) +SOURCES = {system: system + "_support" for system in SYSTEMS} +IDENTITY_COLUMN = "geography_household_key" +#: Assignment outputs the shared operators write on the household table. +ASSIGNMENT_COLUMNS = ("atomic_area_code", "atomic_area_system", "atomic_area_basis") +#: Nation-native aliases of derived layers; NA outside their own nation and +#: dropped at the single-year export boundary. +UK_NATIVE_ALIAS_COLUMNS = ( + "output_area_code", + "data_zone_code", + "intermediate_zone_code", + "super_data_zone_code", + "district_electoral_area_code", +) +_INPUT_COLUMNS = ( + "oa_code", + "population", + "households", + "constituency_code", + "region_code", + "lsoa_code", + "msoa_code", + "local_authority_code", + "ward_code", + "itl3_code", +) +_COUNT_COLUMNS = frozenset({"population", "households"}) +_CODE = re.compile(r"[EWSN][0-9]{8}") +_WARD = re.compile(r"[EWSN][0-9]{2}[0-9RS][0-9]{5}") +_ITL = re.compile(r"TL[C-N][0-9A-Z]{2}") +_LIMIT = 2**53 + + +def _require(condition: bool, message: str) -> None: + if not condition: + raise ValueError("UK atomic support: " + message) + + +def _text(value: object) -> bool: + return type(value) is str and bool(value) and value.strip() == value + + +def _profile(system: str) -> tuple[str, str, tuple[str, ...], str]: + _require(system in SYSTEMS, "unknown area system") + if system == SYSTEMS[0]: + regions = tuple( + name + for name in FRS_REGION_TO_REGION_CODE + if name not in {"SCOTLAND", "NORTHERN_IRELAND"} + ) + return "output_area", "2021_census", regions, "EW" + if system == SYSTEMS[1]: + return "output_area", "2022_census", ("SCOTLAND",), "S" + return "data_zone", "2021_census", ("NORTHERN_IRELAND",), "N" + + +def _metadata(descriptions: Mapping, *, vintage: str, system: str) -> dict: + _require(type(descriptions) is dict, "column metadata must be a plain mapping") + _require(set(descriptions) == set(_INPUT_COLUMNS), "exact column metadata required") + result = {} + for column in _INPUT_COLUMNS: + item = descriptions[column] + _require(type(item) is dict, "plain column description required") + expected = ( + {"kind", "source", "basis"} + if column in _COUNT_COLUMNS + else {"kind", "source", "vintage", "relation"} + ) + _require(set(item) == expected, "column description keys differ") + _require( + all(_text(value) for value in item.values()), "nonempty metadata required" + ) + if column in _COUNT_COLUMNS: + _require(item["kind"] == "weight", "count metadata must describe weight") + else: + _require( + item["kind"] == "code" and item["relation"] in RELATIONS, + "code mapping classification", + ) + result[column] = dict(item) + _require( + result["oa_code"]["vintage"] == vintage + and result["oa_code"]["relation"] == "exact", + "atomic identity/vintage differs", + ) + if system == SYSTEMS[2]: + _require( + result["constituency_code"]["relation"] != "inferred_modal", + "NI postcode-modal mapping is not admitted by this adapter", + ) + return result + + +def _counts(array: np.ndarray, *, positive: bool) -> np.ndarray: + _require( + array.dtype.kind in "iu" or array.dtype == np.dtype("float64"), "count dtype" + ) + if array.dtype.kind == "f": + _require(np.isfinite(array).all(), "non-finite count") + _require(np.equal(array, np.floor(array)).all(), "non-integral count") + _require( + np.all(array > 0 if positive else array >= 0) and np.all(array <= _LIMIT), + "count range", + ) + integers = [int(value) for value in array] + _require(0 < sum(integers) <= _LIMIT, "count total outside exact sampling range") + converted = np.asarray(integers, dtype=np.int64) + _require( + np.array_equal(converted.astype(array.dtype), array), + "count conversion is not exact", + ) + return converted + + +def assemble_uk_atomic_area_support( + *, + system: str, + arrays: Mapping[str, np.ndarray], + column_metadata: Mapping, +) -> bytes: + """Normalize one complete nation system from supplied legacy ladder columns. + + Rows are sorted by atomic code, never dropped. Counts remain exact; old + float64 count arrays are accepted only when integral and exactly representable. + Each declared FRS region must have positive household sampling mass. The + caller supplies source/vintage/relation evidence; syntax is not authority. + NI legacy ward_code means district electoral area, and lsoa_code aliases DZ. + """ + level, vintage, regions, prefixes = _profile(system) + descriptions = _metadata(column_metadata, vintage=vintage, system=system) + _require( + type(arrays) is dict and set(arrays) == set(_INPUT_COLUMNS), + "exact arrays required", + ) + values = {} + for column in _INPUT_COLUMNS: + array = arrays[column] + _require( + type(array) is np.ndarray and array.ndim == 1 and len(array) > 0, + "nonempty one-dimensional arrays required", + ) + if column in _COUNT_COLUMNS: + values[column] = _counts(array, positive=column == "population") + continue + _require(array.dtype.kind == "U", "codes must be Unicode arrays") + _require( + np.all(np.char.str_len(array) > 0) + and np.all(np.char.strip(array) == array), + "blank or padded code", + ) + pattern = ( + _ITL if column == "itl3_code" else _WARD if column == "ward_code" else _CODE + ) + _require( + all(pattern.fullmatch(str(value)) for value in array), "invalid code syntax" + ) + if column != "itl3_code": + _require( + all(str(value)[0] in prefixes for value in array), "foreign nation code" + ) + values[column] = array.copy() + count = len(values["oa_code"]) + _require( + all(len(array) == count for array in values.values()), "array lengths differ" + ) + _require(len(np.unique(values["oa_code"])) == count, "duplicate atomic code") + nations = [str(value)[0] for value in values["oa_code"]] + for column in _INPUT_COLUMNS: + if column not in {*_COUNT_COLUMNS, "itl3_code"}: + _require( + [str(value)[0] for value in values[column]] == nations, + "mapping crosses a nation boundary", + ) + if system == SYSTEMS[2]: + _require( + np.array_equal(values["lsoa_code"], values["oa_code"]), + "NI legacy lsoa_code must alias its atomic Data Zone", + ) + region_names = {FRS_REGION_TO_REGION_CODE[name]: name for name in regions} + _require( + set(values["region_code"].tolist()) == set(region_names), + "incomplete or foreign FRS region coverage", + ) + for code in region_names: + _require( + sum(int(v) for v in values["households"][values["region_code"] == code]) + > 0, + "region has no household sampling mass", + ) + order = np.argsort(values["oa_code"], kind="stable") + values = {column: array[order] for column, array in values.items()} + normalized = {"area": values["oa_code"]} + normalized.update({k: v for k, v in values.items() if k != "oa_code"}) + columns = {"area": descriptions["oa_code"]} + columns.update({k: v for k, v in descriptions.items() if k != "oa_code"}) + normalized["frs_region"] = np.asarray( + [region_names[code] for code in values["region_code"]], dtype="U" + ) + region_rule = canonical_json( + { + "mapping": dict(FRS_REGION_TO_REGION_CODE), + "input": descriptions["region_code"], + } + ) + columns["frs_region"] = { + "kind": "code", + "source": "sha256:" + hashlib.sha256(region_rule).hexdigest(), + "vintage": "frs_region_enum_v1", + "relation": "exact", + } + for width in (3, 4): + column = "itl1_code" if width == 3 else "itl2_code" + normalized[column] = np.asarray([code[:width] for code in values["itl3_code"]]) + columns[column] = { + **descriptions["itl3_code"], + "source": descriptions["itl3_code"]["source"] + f"#prefix-{width}", + "relation": "exact", + } + return encode_atomic_support( + { + "version": 1, + "system": system, + "level": level, + "code_system": "uk_gss", + "vintage": vintage, + "columns": columns, + }, + normalized, + ) + + +def _layers(system: str) -> tuple[tuple[str, str], ...]: + shared = tuple( + (column, column) + for column in _INPUT_COLUMNS + if column not in {"oa_code", *_COUNT_COLUMNS} + ) + aliases = (("area", "oa_code"),) + if system == SYSTEMS[0]: + native = (("area", "output_area_code"),) + elif system == SYSTEMS[1]: + native = ( + ("area", "output_area_code"), + ("lsoa_code", "data_zone_code"), + ("msoa_code", "intermediate_zone_code"), + ) + else: + native = ( + ("area", "data_zone_code"), + ("msoa_code", "super_data_zone_code"), + ("ward_code", "district_electoral_area_code"), + ) + return ( + *shared, + *aliases, + *native, + ("itl1_code", "itl1_code"), + ("itl2_code", "itl2_code"), + ) + + +def uk_atomic_assignment_definition( + supports: Mapping[str, bytes], + *, + seed: int, +) -> dict: + """Declare shared assignment after the complete initial spine/support roster. + + Source names are fixed by system, not file paths. The host must bind admitted + bytes to those SourceRefs and authenticate the supplied full-spine identity. + This function neither creates a graph barrier nor admits a native artifact. + The sampling law is single-stage: one draw of the atomic area by census + household count within the household's FRS region. + """ + _require( + type(supports) is dict and set(supports) == set(SYSTEMS), + "three systems required", + ) + _require( + isinstance(seed, Integral) + and not isinstance(seed, (bool, np.bool_)) + and 0 <= seed < 2**32, + "seed must be a bounded integer", + ) + systems = [] + for system in SYSTEMS: + _require(type(supports[system]) is bytes, "immutable support bytes required") + support = decode_atomic_support(supports[system]) + level, vintage, regions, _ = _profile(system) + _require( + all( + support.metadata[k] == value + for k, value in ( + ("system", system), + ("level", level), + ("code_system", "uk_gss"), + ("vintage", vintage), + ) + ), + "support system identity differs", + ) + expected_columns = { + "area", + *(_INPUT_COLUMNS[1:]), + "frs_region", + "itl1_code", + "itl2_code", + } + _require(set(support.arrays) == expected_columns, "support columns differ") + # The declaration accepts this adapter's normalized form. This closes + # forged derived aliases/region normalization without claiming source + # authority from a self-consistent payload. + restored_arrays = { + column: support.arrays["area" if column == "oa_code" else column] + for column in _INPUT_COLUMNS + } + restored_metadata = { + column: dict( + support.metadata["columns"]["area" if column == "oa_code" else column] + ) + for column in _INPUT_COLUMNS + } + _require( + assemble_uk_atomic_area_support( + system=system, arrays=restored_arrays, column_metadata=restored_metadata + ) + == supports[system], + "support is not the canonical UK adapter output", + ) + systems.append( + { + "id": system, + "level": level, + "code_system": "uk_gss", + "vintage": vintage, + "source": SOURCES[system], + "selector": {"region": list(regions)}, + "constraints": [ + {"input": "region", "support": "frs_region", "required": True} + ], + "observed_area": None, + # Single-stage law (2026-09-15 ruling): draw the atomic area by + # census household count within the household's FRS region. + "stages": [{"level": "area", "weight": "households"}], + "layers": [ + { + "input": column, + "output": output, + **{ + k: support.metadata["columns"][column][k] + for k in ("source", "vintage", "relation") + }, + } + for column, output in _layers(system) + ], + } + ) + return validate_assignment_spec( + { + "version": 1, + "identity": [IDENTITY_COLUMN], + "stream": ["sha256-u53-v1", "uk-post-clone-atomic-area-v1", 0, int(seed)], + "outputs": { + "area": "atomic_area_code", + "system": "atomic_area_system", + "basis": "atomic_area_basis", + }, + "systems": systems, + } + ) diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_household_identity.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_household_identity.py new file mode 100644 index 000000000..1d8435b8b --- /dev/null +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_household_identity.py @@ -0,0 +1,85 @@ +"""Explicit post-clone household keys for UK atomic assignment. + +The host supplies original-source identity and ordered structural branches. +This helper neither infers ancestry from financial values/ID offsets nor +authenticates the supplied lineage. Source/EXPAND receipts remain authoritative. +""" + +from __future__ import annotations + +from numbers import Integral + +import numpy as np + +from microcosm.graph.canonical import canonical_json + +_BRANCHES = ( + "spi_support_channel", + "cgt_incidence_clone", + "cgt_band_donors", + "geographic_support", +) + + +def _require(condition: bool, message: str) -> None: + if not condition: + raise ValueError("UK geography identity: " + message) + + +def household_draw_key( + *, + source: str, + source_vintage: str, + source_household_id: int, + clone_path: tuple[tuple[str, int], ...], +) -> str: + """Encode an original-source ID and explicit ordered clone branch path. + + Every full-spine household needs a distinct key. Branch ordinals are + supplied lineage identities, never sample row counters. Original branches + should use their declared ordinal consistently; growing a pool must not + change an existing path. Calibration K, weights, income, and final offset + IDs are deliberately not inputs. Exact IDs above 2**53 remain distinct. + """ + _require( + all( + type(value) is str + and value + and value.strip() == value + and len(value) <= 256 + for value in (source, source_vintage) + ), + "qualified source and vintage required", + ) + _require( + isinstance(source_household_id, Integral) + and not isinstance(source_household_id, (bool, np.bool_)) + and 0 < source_household_id < 2**63, + "original source household ID must be an exact positive int64", + ) + _require(type(clone_path) is tuple, "explicit immutable clone path required") + path = [] + previous = -1 + for branch in clone_path: + _require( + type(branch) is tuple and len(branch) == 2, + "named branch/ordinal pair required", + ) + name, ordinal = branch + _require(type(name) is str and name in _BRANCHES, "unknown structural branch") + position = _BRANCHES.index(name) + _require(position > previous, "clone branches must be unique and ordered") + _require( + isinstance(ordinal, Integral) + and not isinstance(ordinal, (bool, np.bool_)) + and 0 <= ordinal < 2**32, + "clone ordinal must be a bounded exact integer", + ) + path.append([name, str(int(ordinal))]) + previous = position + return ( + "uk-household-v1:" + + canonical_json( + [source, source_vintage, str(int(source_household_id)), path] + ).decode() + ) diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_household_lineage.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_household_lineage.py new file mode 100644 index 000000000..dcca8ac98 --- /dev/null +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/atomic_household_lineage.py @@ -0,0 +1,212 @@ +"""Project supplied source/structural lineage to stable UK geography keys. + +This is a pure descriptive adapter, not a source owner or graph admission gate. +The host must bind roots, every before/after axis, EXPAND parent receipt and +explicit ordinal to its actual retained observations before and after use. +No identifier is reconstructed from offsets, weights, financial flags or order. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from numbers import Integral + +import numpy as np +import pandas as pd + +from . import atomic_household_identity as identity +from .atomic_area_support import IDENTITY_COLUMN + +_ROOT_COLUMNS = ("household_id", "source", "source_vintage", "source_household_id") + + +@dataclass(frozen=True) +class HouseholdExpansion: + """One checked EXPAND's household axis and explicitly supplied ordinals. + + parent_pairs is the immutable household portion of the shared executor's + ``receipt['expand']`` mapping. child_ordinals names each new household's + declared branch ordinal; its position in the receipt is not an ordinal. + Existing households retain their previous path without adding a zero step. + Constructing this object does not authenticate any of these claims. + """ + + branch: str + before_ids: tuple[int, ...] + after_ids: tuple[int, ...] + parent_pairs: tuple[tuple[int, int], ...] + child_ordinals: tuple[tuple[int, int], ...] + + +@dataclass(frozen=True) +class HouseholdSelection: + """A checked FILTER's explicit household axes; no new identity is created.""" + + before_ids: tuple[int, ...] + after_ids: tuple[int, ...] + + +def _require(condition, reason): + if not condition: + raise ValueError("UK atomic household lineage: " + reason) + + +def _integer(value, *, ordinal=False): + _require( + isinstance(value, Integral) and not isinstance(value, (bool, np.bool_)), + "exact integer required", + ) + value = int(value) + _require( + 0 <= value < 2**32 if ordinal else 0 < value < 2**63, + "ordinal or ID outside its exact declared range", + ) + return value + + +def _axis(values): + _require(type(values) is tuple, "axes must be immutable tuples") + ids = tuple(_integer(value) for value in values) + _require(len(ids) == len(set(ids)), "duplicate household ID") + return ids + + +def _pairs(values, *, ordinals=False): + _require(type(values) is tuple, "pairs must be an immutable tuple") + pairs = {} + for row in values: + _require(type(row) is tuple and len(row) == 2, "exact immutable pair required") + target = _integer(row[0]) + source = _integer(row[1], ordinal=ordinals) + _require(target not in pairs, "duplicate pair target") + pairs[target] = source + return pairs + + +def _roots(roots): + _require(type(roots) is pd.DataFrame, "a plain root description table is required") + _require( + roots.columns.is_unique + and set(roots.columns) == set(_ROOT_COLUMNS) + and len(roots) > 0, + "exact nonempty root description columns required", + ) + for column in ("household_id", "source_household_id"): + _require(roots[column].dtype == np.dtype("int64"), "root IDs must be int64") + # Only immutable validated scalar values survive this copy. pandas row + # labels, column ordering and physical row order do not enter the key. + copied = roots.loc[:, list(_ROOT_COLUMNS)].copy(deep=True) + result = {} + initial_keys = set() + for row in copied.itertuples(index=False, name=None): + household_id, source, vintage, source_id = row + household_id = _integer(household_id) + source_id = _integer(source_id) + _require(household_id not in result, "duplicate root household ID") + key = identity.household_draw_key( + source=source, + source_vintage=vintage, + source_household_id=source_id, + clone_path=(), + ) + _require(key not in initial_keys, "duplicate original source identity") + initial_keys.add(key) + result[household_id] = (source, vintage, source_id, ()) + return result + + +def project_atomic_household_keys( + roots: pd.DataFrame, + *, + steps: tuple[HouseholdExpansion | HouseholdSelection, ...], + final_ids: np.ndarray, +) -> pd.DataFrame: + """Return exact final household IDs and canonical geography keys. + + Membership of each before axis must equal the preceding result; physical + ordering may differ because it is not identity. Every added row must have + one known preceding parent and one explicit ordinal unique for that parent + in this branch. Branch stages must follow the existing UK branch ordering. + A selection may only remove IDs; unexplained arrivals or losses refuse. + Empty selection results are valid descriptions, not viable build evidence. + + The output follows final_ids and is detached. All supplied descriptions + remain unissued; this checks internal consistency, not source authenticity, + complete-population ancestry, a sampling rule or release eligibility. + """ + current = _roots(roots) + _require(type(steps) is tuple, "steps must be an immutable tuple") + _require( + type(final_ids) is np.ndarray + and final_ids.dtype == np.dtype("int64") + and final_ids.ndim == 1, + "final household axis must be a one-dimensional int64 ndarray", + ) + final = _axis(tuple(final_ids)) + previous_branch = -1 + for step in steps: + _require( + type(step) in (HouseholdExpansion, HouseholdSelection), + "unsupported structural description", + ) + before = _axis(step.before_ids) + after = _axis(step.after_ids) + _require( + set(before) == set(current), "before axis differs from retained history" + ) + if type(step) is HouseholdSelection: + _require(set(after) <= set(before), "selection contains new households") + current = {target: current[target] for target in after} + continue + _require( + type(step.branch) is str and step.branch in identity._BRANCHES, + "unknown UK structural branch", + ) + position = identity._BRANCHES.index(step.branch) + _require(position > previous_branch, "repeated or reordered structural branch") + previous_branch = position + _require(set(before) <= set(after), "expansion removed incumbent households") + arrivals = set(after) - set(before) + parents = _pairs(step.parent_pairs) + ordinals = _pairs(step.child_ordinals, ordinals=True) + _require( + set(parents) == arrivals == set(ordinals), + "parents and ordinals must cover exactly the new households", + ) + _require(set(parents.values()) <= set(before), "parent absent before expansion") + branch_ids = [(parents[target], ordinals[target]) for target in arrivals] + _require( + len(branch_ids) == len(set(branch_ids)), + "repeated ordinal for one parent in this branch", + ) + extended = dict(current) + for target in arrivals: + source, vintage, source_id, path = current[parents[target]] + new_path = (*path, (step.branch, ordinals[target])) + # Reuse the existing complete path contract; no alternate key + # encoding or static branch roster is introduced here. + identity.household_draw_key( + source=source, + source_vintage=vintage, + source_household_id=source_id, + clone_path=new_path, + ) + extended[target] = (source, vintage, source_id, new_path) + current = {target: extended[target] for target in after} + _require(set(final) == set(current), "final axis differs from completed history") + keys = [ + identity.household_draw_key( + source=current[target][0], + source_vintage=current[target][1], + source_household_id=current[target][2], + clone_path=current[target][3], + ) + for target in final + ] + _require(len(keys) == len(set(keys)), "final geography keys are not unique") + return pd.DataFrame( + { + "household_id": np.asarray(final, dtype=np.int64), + IDENTITY_COLUMN: pd.array(keys, dtype=pd.StringDtype(storage="python")), + } + ) diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/country_adapter.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/country_adapter.py index cc801db76..c993fd105 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/country_adapter.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/country_adapter.py @@ -8,6 +8,7 @@ from __future__ import annotations import hashlib +from collections.abc import Mapping from dataclasses import replace from datetime import date from importlib import metadata @@ -58,10 +59,22 @@ def validate_uk_country_source_projection(spec: CountrySpec) -> None: for artifact in root.artifacts if artifact["role"] == "frs_table" ] - if sources["sources"] != expected: + # The atomic-area supports (microcosm#932) are declared beside the raw FRS + # tables with their own role and loader; every other row is an FRS table. + declared = [row for row in sources["sources"] if row["role"] == "frs_raw_table"] + if declared != expected: raise ValueError( "UK country raw-source pins differ from the canonical FRS spine stage." ) + others = [row for row in sources["sources"] if row["role"] != "frs_raw_table"] + if any( + row["role"] != "uk_atomic_area_support" + or row["loader"] != "kernel:load_uk_atomic_area_support" + for row in others + ): + raise ValueError( + "UK country sources beyond the raw FRS tables must be atomic-area supports." + ) if spine["channels"] != [ { "id": "frs", @@ -84,8 +97,14 @@ def build_uk_country_graph( review_date: date | None = None, release_candidate: bool = False, skip_holdout: bool = False, + atomic_geography_definition: Mapping | None = None, ) -> UKFullGraph: - """Compile the canonical full graph; default target scope is all geographies.""" + """Compile the canonical full graph; default target scope is all geographies. + + ``atomic_geography_definition`` is the UK assignment declaration over the + admitted support bytes (``uk_atomic_assignment_definition``), required + while the config's ``geography_assignment`` is ``atomic`` (the default). + """ from microcosm.graph import compile_graph from microcosm.graph.canonical import canonical_json @@ -119,7 +138,12 @@ def build_uk_country_graph( engine_identity=engine_identity, release_candidate=release_candidate, ) - full = uk_full_graph(config, spine=spine, review_date=review_date.isoformat()) + full = uk_full_graph( + config, + spine=spine, + review_date=review_date.isoformat(), + atomic_geography_definition=atomic_geography_definition, + ) graph = append_uk_full_gate_nodes( full.graph, calibration=full.calibration, diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/full_build_cli.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/full_build_cli.py index 2c1eec2ef..9eeaad9f9 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/full_build_cli.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/full_build_cli.py @@ -57,6 +57,7 @@ run_graph, ) from microcosm.graph.canonical import canonical_json +from microcosm.graph.codecs import load_raw_bytes from ..logbook_adoption import ( AttemptState, @@ -76,6 +77,16 @@ ) from ..staging_dataset import SHA256SUMS_FILENAME, refresh_sha256sums_entry from . import national_role +from .atomic_area_support import ( + IDENTITY_COLUMN, + uk_atomic_assignment_definition, +) +from .atomic_area_support import ( + SOURCES as ATOMIC_SUPPORT_SOURCES, +) +from .atomic_area_support import ( + SYSTEMS as ATOMIC_SUPPORT_SYSTEMS, +) from .calibration_run import runtime_provenance from .chronicle_feed import load_uk_chronicle_feed from .frs_release import load_uk_frs_release @@ -92,6 +103,7 @@ uk_full_graph, ) from .graph_calibration import UKGraphCalibrationConfig +from .graph_population import GEOGRAPHY_ASSIGNMENTS from .graph_targets import TARGET_SELECTION_TYPE from .graph_terminal import ( FULL_DIAGNOSTICS_CSV_TYPE, @@ -164,6 +176,11 @@ "uk_rowwise_posture", ] +#: CLI labels for the three UK atomic-area support systems, in SYSTEMS order. +_SUPPORT_ARGUMENTS = dict( + zip(ATOMIC_SUPPORT_SYSTEMS, ("ew", "scotland", "ni"), strict=True) +) + def _target_geographies(value: str) -> tuple[str, ...] | None: if value == "all": @@ -226,6 +243,28 @@ def parse_args(argv: list[str] | None = None) -> argparse.Namespace: help="Full-UK OA geography ladder NPZ (required by the dense role).", ) parser.add_argument("--ladder-sha256", type=sha256_argument) + parser.add_argument( + "--geography-assignment", + choices=GEOGRAPHY_ASSIGNMENTS, + default="atomic", + help=( + "Dense role: atomic (default) is the identity-keyed single-stage " + "draw on the three UK atomic-area supports; legacy is the sequential " + "ladder draw, for measurement builds only." + ), + ) + for system, label in _SUPPORT_ARGUMENTS.items(): + parser.add_argument( + f"--atomic-support-{label}", + type=Path, + dest=f"atomic_support_{label}", + help=f"Atomic-area support NPZ for {system} (dense role, required with atomic).", + ) + parser.add_argument( + f"--atomic-support-sha256-{label}", + type=sha256_argument, + dest=f"atomic_support_sha256_{label}", + ) parser.add_argument( "--ledger-facts", type=Path, @@ -422,6 +461,44 @@ def _input_record(path: Path, pin: dict, *, pinned: bool) -> dict: } +def _prepare_geography( + args: argparse.Namespace, pins: dict, sources: dict[str, Path] +) -> tuple[dict | None, dict]: + """Pin the three supports and declare the identity-keyed assignment. + + The definition is the UK adapter's declaration over the admitted support + bytes at the build seed; its sha256 (and every keyed draw) moves iff a + support artifact or the seed moves. Each support enters ``pins`` as a + flat pin role named by its graph source, so the Logbook input-pins + digest, the candidate identity digest and the size-checkpoint identity + all bind it. Legacy builds bind nothing here. + """ + if args.geography_assignment != "atomic": + return None, {"assignment": "legacy"} + support_pins = {} + payloads = {} + for system, label in _SUPPORT_ARGUMENTS.items(): + path = getattr(args, f"atomic_support_{label}") + if path is None: + raise ValueError( + "Atomic geography assignment requires --atomic-support-ew, " + "--atomic-support-scotland and --atomic-support-ni." + ) + pin = _pin(path, getattr(args, f"atomic_support_sha256_{label}")) + pins[ATOMIC_SUPPORT_SOURCES[system]] = pin + support_pins[system] = pin + payloads[system] = load_raw_bytes(path) + sources[ATOMIC_SUPPORT_SOURCES[system]] = path + definition = uk_atomic_assignment_definition(payloads, seed=args.seed) + return definition, { + "assignment": "atomic", + "definition_sha256": hashlib.sha256(canonical_json(definition)).hexdigest(), + "support_pins": support_pins, + "identity": IDENTITY_COLUMN, + "stream": list(definition["stream"]), + } + + @dataclass(frozen=True) class PreparedUKFullBuild: full: UKFullGraph @@ -570,6 +647,9 @@ def prepare_full_build( "pin_verified": False, "spine_request": str(args.spine_request.resolve()), } + # The atomic-area supports are admitted after the spine so a spine + # refusal (sidecar, digest) is reported before a support one. + definition, geography_binding = _prepare_geography(args, pins, sources) stage( telemetry, "input_pinning", @@ -595,6 +675,8 @@ def prepare_full_build( engine_blocks=args.engine_blocks, constituency_vintage=args.expected_constituency_vintage, source_lineage_modulus=args.source_lineage_modulus, + geography_assignment=args.geography_assignment, + source_vintage=release.vintage, calibration=UKGraphCalibrationConfig( epochs=args.epochs, learning_rate=args.learning_rate, @@ -661,6 +743,7 @@ def prepare_full_build( optional_target_sources=tuple(optional), review_date=args.review_date.isoformat(), checkpoint_identity=checkpoint_identity, + atomic_geography_definition=definition, ) if args.resume_size_checkpoint: from .size_checkpoint import ( @@ -703,6 +786,7 @@ def prepare_full_build( }, "paired_ladder_sha256": pins["ladder"]["sha256"], }, + "geography": geography_binding, } graph = add_uk_export_preparation( graph, @@ -829,6 +913,10 @@ def _argument_sources(args: argparse.Namespace) -> dict[str, Path]: ("native_scorecard", args.native_scorecard), ("matched_size_scorecard", args.matched_size_scorecard), ("resume_size_checkpoint", args.resume_size_checkpoint), + *( + (f"atomic_support_{label}", getattr(args, f"atomic_support_{label}")) + for label in _SUPPORT_ARGUMENTS.values() + ), ) if path is not None } diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_ladder.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_ladder.py index c7062ad6c..deba2a2fb 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_ladder.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_ladder.py @@ -91,6 +91,8 @@ from microcosm.build.gates import GateResult from microcosm.build.uk_runtime.local_authority_input import ( + UK_LOCAL_AUTHORITY_LADDER_VINTAGE, + UK_LOCAL_AUTHORITY_LADDER_VINTAGES, UK_LOCAL_AUTHORITY_VINTAGE, local_authority_consistency_failures, resolve_local_authority_engine_keys, @@ -437,10 +439,11 @@ def draw_uk_ladder_locations( # ladder rebuilt on another local authority frame refuses by vintage here # rather than surfacing later as off-roster codes (microcosm#953). local_authority_vintage = ladder.layer_vintages["local_authority"] - if local_authority_vintage != UK_LOCAL_AUTHORITY_VINTAGE: + if local_authority_vintage not in UK_LOCAL_AUTHORITY_LADDER_VINTAGES: raise ValueError( f"UK OA ladder local authority vintage {local_authority_vintage!r} " - f"is not {UK_LOCAL_AUTHORITY_VINTAGE!r}, the vintage of the names " + f"is not {UK_LOCAL_AUTHORITY_VINTAGE!r} (or the full-UK composite " + f"{UK_LOCAL_AUTHORITY_LADDER_VINTAGE!r}), the vintage of the names " "resource that resolves local_authority; regenerate " "local_authority_names.json for the new roster first." ) diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_sources.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_sources.py index e1bc1910e..e10e14fdd 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_sources.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/geography_sources.py @@ -120,6 +120,27 @@ #: assert this digest, so a re-published lookup is a reviewed change here. LAD23_NAMES_SHA256 = "6c2d811f50756c459c6a1c7c692ae9262fb4d70df3f535958ef7cdbbbd76cc44" +#: ONS OA (2021) -> Parish/NCP -> LAD -> Region -> Country (December 2024) V2. +#: Its ``LAD24CD`` field carries the April 2023 LAD code set (the 1 April 2025 +#: Barnsley/Sheffield recode is not in this file) and ``RGN24CD`` the nine +#: English regions; it replaces the retired OA->LAD (April 2023) and +#: LAD->Region (2022) items for the FY2024-25 atomic-area supports. +EW_OA_PARNCP_LAD_REGION_URL = ( + "https://open-geography-portalx-ons.hub.arcgis.com/api/download/v1/items/" + "7507c0292db546ed83e4ba60f1115b1d/csv?layers=0" +) +#: ONS OA (2021) -> Ward (2024) -> LAD (May 2024) best-fit lookup in EW V2. +EW_OA_WARD24_URL = ( + "https://open-geography-portalx-ons.hub.arcgis.com/api/download/v1/items/" + "b21c632804094c149ccdfea1ae59c8c8/csv?layers=0" +) +#: ONS LAD (December 2024) -> LAU1 -> ITL3 -> ITL2 -> ITL1 (January 2025) lookup +#: in the UK: the ITL 2025 revision keyed on the April 2023 LAD code set. +LAD24_ITL25_URL = ( + "https://open-geography-portalx-ons.hub.arcgis.com/api/download/v1/items/" + "15bdb6b0ff1c4a64b34a64e2e39f8caf/csv?layers=0" +) + ENGLAND_WALES_OA2021_COUNT = 188_880 LAD23_COUNT = 361 SCOTLAND_OA2022_COUNT = 46_363 @@ -174,6 +195,64 @@ def load_england_wales_oa_constituencies( ) +def load_ew_oa_lad_region_lookup( + url: str = EW_OA_PARNCP_LAD_REGION_URL, +) -> pd.DataFrame: + """Load the ONS OA2021 -> LAD -> Region (December 2024) lookup. + + Returns one row per OA with ``oa_code``, ``la_code`` and ``region_code`` + (blank for Wales, whose region is the ``W99999999`` sentinel downstream). + The LAD column is accepted under any ``LADCD`` name; the December 2024 + file carries the April 2023 LAD code set as ``LAD24CD``. + """ + + frame = _read_csv_url(url, dtype=str) + upper_to_column = {str(column).strip().upper(): column for column in frame} + lad_column = next( + ( + column + for upper, column in upper_to_column.items() + if upper.startswith("LAD") and upper.endswith("CD") + ), + None, + ) + region_column = next( + ( + column + for upper, column in upper_to_column.items() + if upper.startswith("RGN") and upper.endswith("CD") + ), + None, + ) + oa_column = upper_to_column.get("OA21CD") + if oa_column is None or lad_column is None or region_column is None: + raise ValueError( + "E/W OA-LAD-region lookup is missing OA, LAD or region columns." + ) + lookup = pd.DataFrame( + { + "oa_code": frame[oa_column].fillna("").astype(str).str.strip(), + "la_code": frame[lad_column].fillna("").astype(str).str.strip(), + "region_code": frame[region_column].fillna("").astype(str).str.strip(), + } + ) + if (lookup["oa_code"] == "").any() or (lookup["la_code"] == "").any(): + raise ValueError( + "E/W OA-LAD-region lookup must not include blank OA or LAD codes." + ) + if lookup["oa_code"].duplicated().any(): + raise ValueError("E/W OA-LAD-region lookup OA codes must be unique.") + if len(lookup) != ENGLAND_WALES_OA2021_COUNT: + raise ValueError( + "E/W OA-LAD-region lookup must cover every OA2021: " + f"{len(lookup):,} rows, expected {ENGLAND_WALES_OA2021_COUNT:,}." + ) + english = lookup["oa_code"].str.startswith("E") + if (lookup.loc[english, "region_code"] == "").any(): + raise ValueError("E/W OA-LAD-region lookup has English OAs without a region.") + return lookup.reset_index(drop=True) + + def load_england_lad_region_lookup( url: str = ENGLAND_LAD_REGION_URL, ) -> pd.DataFrame: @@ -1425,7 +1504,7 @@ def _normalise_ew_lad_lookup(frame: pd.DataFrame) -> pd.DataFrame: upper = str(column).upper() if upper == "OA21CD": column_map[column] = "oa_code" - elif upper == "LAD23CD": + elif upper.startswith("LAD") and upper.endswith("CD"): column_map[column] = "lad23_code" lookup = frame.rename(columns=column_map) missing = sorted({"oa_code", "lad23_code"} - set(lookup.columns)) diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_build.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_build.py index 45ed25c88..5795f20bd 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_build.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_build.py @@ -8,6 +8,7 @@ from __future__ import annotations import json +from collections.abc import Mapping from dataclasses import asdict, dataclass, field, replace from pathlib import Path @@ -45,10 +46,12 @@ ) from .graph_kernels import UKClaimKernel, UKIdentityKernel, _normalize_create_frame from .graph_population import ( + UKPoolCheckpointKernel, append_uk_population_nodes, population_columns, population_slices, register_uk_population_kernels, + uk_pool_validation_inputs, ) from .graph_targets import append_uk_target_nodes, register_uk_target_kernels from .local_doctrine import UK_LOCAL_CLONE_COUNT @@ -75,10 +78,23 @@ class UKFullBuildConfig: constituency_vintage: str = "2024_pcon" source_lineage_modulus: int | None = None calibration: UKGraphCalibrationConfig = UKGraphCalibrationConfig() + #: ``atomic`` keys every post-clone household and draws on the shared + #: atomic-geography operators; ``legacy`` keeps the sequential ladder draw + #: for measurement builds (a release candidate refuses it). + geography_assignment: str = "atomic" + #: FRS release vintage folded into every geography identity key. + source_vintage: str = field(default_factory=lambda: load_uk_frs_release().vintage) def __post_init__(self) -> None: + from .graph_population import GEOGRAPHY_ASSIGNMENTS from .national_sampling import validate_sample_fraction + if self.geography_assignment not in GEOGRAPHY_ASSIGNMENTS: + raise ValueError( + f"Geography assignment must be one of {GEOGRAPHY_ASSIGNMENTS}." + ) + if not isinstance(self.source_vintage, str) or not self.source_vintage: + raise ValueError("The FRS source vintage must be a non-empty string.") validate_sample_fraction(self.sample_fraction, label="UK full pool") validate_sample_fraction(self.source_sample_fraction, label="UK source spine") if self.sample_fraction != 1.0 and self.source_sample_fraction != 1.0: @@ -162,8 +178,14 @@ def uk_full_graph( optional_target_sources: tuple[str, ...] = (), checkpoint_identity: dict | None = None, review_date: str | None = None, + atomic_geography_definition: Mapping | None = None, ) -> UKFullGraph: - """Append the full build to the existing source-owned UK spine graph.""" + """Append the full build to the existing source-owned UK spine graph. + + ``atomic_geography_definition`` is the validated UK assignment declaration + (``uk_atomic_assignment_definition``) and is required when the config's + ``geography_assignment`` is ``atomic``. + """ initial = uk_spine_graph(source_mode="split") if spine is None else spine endpoint = ( @@ -183,6 +205,9 @@ def uk_full_graph( source_year=config.source_year, constituency_vintage=config.constituency_vintage, source_lineage_modulus=config.source_lineage_modulus, + geography_assignment=config.geography_assignment, + atomic_geography_definition=atomic_geography_definition, + source_vintage=config.source_vintage, ) graph = append_uk_target_nodes( graph, @@ -206,10 +231,11 @@ def uk_full_graph( *graph.nodes, Node( "uk.full.pool", - UKIdentityKernel.ref, + UKPoolCheckpointKernel.ref, structural=StructuralDelta.FILTER, base="uk.full.expand", inputs=population_slices(cells), + artifact_inputs=uk_pool_validation_inputs(config.geography_assignment), description="Checkpoint the complete geographic pool and selected-target problem.", ), ), diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_population.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_population.py index 0fdf81761..375630895 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_population.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_population.py @@ -28,6 +28,7 @@ KernelRegistry, KernelResult, Node, + Numeric, Owned, SeedSource, Slice, @@ -41,20 +42,47 @@ from microcosm.graph.population import dtype_for_token from microcosm.graph.weight_update import weight_update_receipt -from . import geography_ladder, national_sampling, rowwise_dataset +from . import ( + atomic_area_support, + atomic_household_identity, + geography_ladder, + local_authority_input, + national_sampling, + rowwise_dataset, +) from .geography_ladder import ( UK_GEOGRAPHY_LADDER_COLUMNS, derive_uk_ladder_locations, draw_uk_ladder_locations, load_uk_oa_ladder, ) -from .local_authority_input import verify_local_authority_engine_domain +from .local_authority_input import ( + UK_LOCAL_AUTHORITY_CODE_COLUMN, + UK_LOCAL_AUTHORITY_INPUT_COLUMN, + UK_LOCAL_AUTHORITY_VINTAGE, + resolve_local_authority_engine_keys, + verify_local_authority_engine_domain, +) from .national_frame import UK_NATIONAL_SCHEMA from .rowwise_dataset import expand_uk_geographic_pool, ladder_clone_index_column POPULATION_RECEIPT_TYPE = ArtifactType("microcosm.uk.population-receipt", 1) LOCATION_DRAW_TYPE = ArtifactType("microcosm.uk.ladder-location-draw", 1) GEOGRAPHY_GATE_TYPE = ArtifactType("microcosm.uk.geography-gate", 1) +GEOGRAPHY_ASSIGNMENTS = ("atomic", "legacy") +#: Lineage columns the post-clone household identity is keyed on. The support +#: channel and CGT flags come from the spine stages; the geographic clone index +#: from ``uk.full.expand``. Calibration K, weights and remapped ids are not inputs. +UK_GEOGRAPHY_IDENTITY_INPUTS = ( + "source_household_id", + "household_support_channel", + "household_support_clone_index", + "household_is_capital_gains_clone", + "household_is_cgt_band_donor", + ladder_clone_index_column("household"), +) +_BASE_SUPPORT_CHANNEL = "frs" +_SPI_SUPPORT_CHANNEL = "spi" def context_frame(context: KernelContext) -> Frame: @@ -333,6 +361,185 @@ def run(self, context: KernelContext) -> KernelResult: ) +class UKGeographyIdentityKernel(_PopulationKernel): + """Key every post-clone household by its source id and ordered clone path. + + The path is read from the spine's explicit lineage columns, never inferred + from ids, weights or financial values: ``spi_support_channel`` with the + support clone index when the household is an SPI support copy, + ``cgt_incidence_clone`` and ``cgt_band_donors`` (ordinal 1) from their + flags, ``geographic_support`` with the pool clone index when it is not + the original copy. Growing K never changes an existing household's key. + """ + + ref = "uk.full.identity@1" + capabilities = Capabilities(Determinism.DETERMINISTIC) + + def implementation_hash(self) -> str: + return source_hash( + type(self), atomic_household_identity, atomic_area_support, rowwise_dataset + ) + + def run(self, context: KernelContext) -> KernelResult: + household = context.tables["household"] + source = str(context.params["source"]) + vintage = str(context.params["source_vintage"]) + missing = [c for c in UK_GEOGRAPHY_IDENTITY_INPUTS if c not in household] + if missing: + raise ValueError(f"Geography identity lacks lineage column(s) {missing}.") + lineage = household.loc[:, list(UK_GEOGRAPHY_IDENTITY_INPUTS)] + if lineage.isna().any().any(): + raise ValueError("Geography identity refuses null lineage values.") + if lineage["source_household_id"].dtype != np.dtype("int64"): + raise ValueError("Geography identity requires int64 source household ids.") + for column in ( + "household_is_capital_gains_clone", + "household_is_cgt_band_donor", + ): + dtype = lineage[column].dtype + if dtype != np.dtype("bool") and not isinstance(dtype, pd.BooleanDtype): + raise ValueError(f"Geography identity requires a boolean {column}.") + keys = [] + for source_id, channel, support_index, cgt, donor, clone_index in zip( + lineage["source_household_id"].to_numpy(), + lineage["household_support_channel"].to_numpy(), + lineage["household_support_clone_index"].to_numpy(), + lineage["household_is_capital_gains_clone"].to_numpy(), + lineage["household_is_cgt_band_donor"].to_numpy(), + lineage[ladder_clone_index_column("household")].to_numpy(), + strict=True, + ): + channel = str(channel) + support_index, clone_index = int(support_index), int(clone_index) + if channel not in {_BASE_SUPPORT_CHANNEL, _SPI_SUPPORT_CHANNEL}: + raise ValueError(f"Unknown household support channel {channel!r}.") + if support_index < 0 or clone_index < 0: + raise ValueError("Geography identity refuses negative clone indices.") + if (channel == _SPI_SUPPORT_CHANNEL) != (support_index != 0): + raise ValueError( + "Household support channel and support clone index disagree." + ) + path = [] + if support_index: + path.append(("spi_support_channel", support_index)) + if bool(cgt): + path.append(("cgt_incidence_clone", 1)) + if bool(donor): + path.append(("cgt_band_donors", 1)) + if clone_index: + path.append(("geographic_support", clone_index)) + keys.append( + atomic_household_identity.household_draw_key( + source=source, + source_vintage=vintage, + source_household_id=int(source_id), + clone_path=tuple(path), + ) + ) + if len(set(keys)) != len(keys): + raise ValueError("Geography identity keys are not unique.") + index = pd.Index(household["household_id"], name="household_id") + column = atomic_area_support.IDENTITY_COLUMN + return KernelResult( + columns={ + ("household", column): pd.Series( + keys, index=index, name=column, dtype=dtype_for_token("string") + ) + }, + receipt={ + "households": len(keys), + "source": source, + "source_vintage": vintage, + "inputs": list(UK_GEOGRAPHY_IDENTITY_INPUTS), + }, + ) + + +class UKLocalAuthorityResolveKernel(_PopulationKernel): + """Resolve the engine's ``local_authority`` input from the derived code. + + The shared derive step writes ``local_authority_code``; the engine input + is the member name resolved fail-closed on the April 2023 roster + (microcosm#953), exactly as the legacy ladder derive writes it. The + engine itself is never imported here; the UK distribution gate checks + the assigned names against the installed enum. + """ + + ref = "uk.full.geography.local_authority@1" + capabilities = Capabilities(Determinism.DETERMINISTIC) + + def implementation_hash(self) -> str: + return source_hash(type(self), local_authority_input) + + def run(self, context: KernelContext) -> KernelResult: + household = context.tables["household"] + keys = resolve_local_authority_engine_keys( + household[UK_LOCAL_AUTHORITY_CODE_COLUMN] + ) + index = pd.Index(household["household_id"], name="household_id") + column = UK_LOCAL_AUTHORITY_INPUT_COLUMN + return KernelResult( + columns={ + ("household", column): pd.Series( + keys, index=index, name=column, dtype=dtype_for_token("string") + ) + }, + receipt={ + "households": int(len(keys)), + "local_authority_vintage": UK_LOCAL_AUTHORITY_VINTAGE, + }, + ) + + +class UKPoolCheckpointKernel(_PopulationKernel): + """Checkpoint the complete pool; refuse unless the shared atomic gate passed. + + The shared ``geography.gate@1`` result is a platform-scoped typed artifact + (amendment 17). This FILTER node consumes it and emits no typed artifact of + its own, so the scope stops here instead of laundering into the bitwise + UK target and calibration chain through a gate report. + """ + + ref = "uk.full.pool@1" + capabilities = Capabilities( + Determinism.DETERMINISTIC, + numeric=Numeric.PLATFORM_BITWISE, + structural=StructuralDelta.FILTER, + ) + + def run(self, context: KernelContext) -> KernelResult: + receipt = {"scope": "complete_pool_checkpoint"} + if "atomic_validation" in context.artifacts: + validation = json.loads(context.artifacts["atomic_validation"].payload) + if validation.get("outcome") != "pass": + raise ValueError("Shared atomic geography validation did not pass.") + receipt["atomic_validation"] = validation + person = context.tables[UK_NATIONAL_SCHEMA.person_entity] + id_column = UK_NATIONAL_SCHEMA.person_id_column + ids = pd.Index(person[id_column].to_numpy(copy=True), name=id_column) + return KernelResult( + keep=pd.Series(True, index=ids, dtype="bool"), receipt=receipt + ) + + +def uk_pool_validation_inputs(geography_assignment: str) -> tuple[ArtifactInput, ...]: + """The typed edge that orders the shared atomic gate before the checkpoint.""" + if geography_assignment != "atomic": + return () + from microcosm.build.graph_atomic_geography import ( + ATOMIC_GEOGRAPHY_VALIDATION_TYPE, + ) + + return ( + ArtifactInput( + "atomic_validation", + "uk.full.geography.gate", + "validation", + ATOMIC_GEOGRAPHY_VALIDATION_TYPE, + ), + ) + + class UKGeographyGateKernel(_PopulationKernel): ref = "uk.full.geography_gate@1" capabilities = Capabilities(Determinism.DETERMINISTIC) @@ -371,14 +578,38 @@ def append_uk_population_nodes( source_year: int = 2024, constituency_vintage: str = "2024_pcon", source_lineage_modulus: int | None = None, + geography_assignment: str = "atomic", + atomic_geography_definition: Mapping | None = None, + source_vintage: str | None = None, + identity_source: str = "frs", ) -> Graph: - """Compose sampling → replication → location draw → derivation → gate.""" + """Compose sampling → replication → identity → assignment → derivation → gate. + + ``geography_assignment="atomic"`` (the default) keys every post-clone + household by its lineage and runs the shared atomic-geography operators + on the three UK support artifacts declared by ``atomic_geography_definition`` + (``uk_atomic_assignment_definition``). ``"legacy"`` keeps the sequential + ladder draw for measurement builds only. + """ from .graph_kernels import UKClaimKernel cells = population_columns(graph, population) if type(n_clones) is not int or n_clones < 1: raise ValueError("Geographic replicate count K must be a positive integer.") + if geography_assignment not in GEOGRAPHY_ASSIGNMENTS: + raise ValueError( + f"Geography assignment must be one of {GEOGRAPHY_ASSIGNMENTS}." + ) + if geography_assignment == "atomic": + if atomic_geography_definition is None: + raise ValueError( + "Atomic geography assignment requires the UK assignment definition." + ) + if not isinstance(source_vintage, str) or not source_vintage: + raise ValueError("Atomic geography assignment requires the FRS vintage.") + elif atomic_geography_definition is not None: + raise ValueError("Legacy geography assignment takes no atomic definition.") national_sampling.validate_sample_fraction(sample_fraction, label="UK full build") national_sampling.validate_sample_seed(sample_seed, label="UK full build") common = {"time_period": str(time_period)} @@ -495,7 +726,34 @@ def append_uk_population_nodes( ) ) cells.update(expansion_cells) - nodes.append( + if geography_assignment == "legacy": + geography_nodes, geography_sources = _legacy_geography_nodes( + cells, common=common, seed=seed, constituency_vintage=constituency_vintage + ) + else: + geography_nodes, geography_sources = _atomic_geography_nodes( + cells, + common=common, + seed=seed, + definition=atomic_geography_definition, + identity_source=identity_source, + source_vintage=source_vintage, + ) + nodes.extend(geography_nodes) + declared = {s.name for s in graph.sources} + sources = ( + *graph.sources, + *(ref for ref in geography_sources if ref.name not in declared), + ) + return replace(graph, nodes=tuple(nodes), sources=tuple(sources)) + + +def _legacy_geography_nodes( + cells: dict, *, common: Mapping, seed: int, constituency_vintage: str +) -> tuple[tuple[Node, ...], tuple[SourceRef, ...]]: + """The sequential ladder draw, kept verbatim for measurement builds.""" + + nodes = ( Node( id="uk.full.locations", kernel=UKLocationDrawKernel.ref, @@ -505,9 +763,7 @@ def append_uk_population_nodes( params={"seed": seed, "constituency_vintage": constituency_vintage}, artifact_outputs=(ArtifactOutput("locations", LOCATION_DRAW_TYPE),), description="Draw constituency then atomic area with the current sequential RNG.", - ) - ) - nodes.append( + ), Node( id="uk.full.geography_mapping", kernel=UKGeographyMappingKernel.ref, @@ -524,42 +780,128 @@ def append_uk_population_nodes( for col in UK_GEOGRAPHY_LADDER_COLUMNS ), description="Derive every geography from the drawn atomic-area index.", - ) + ), ) cells.update({("household", col): "string" for col in UK_GEOGRAPHY_LADDER_COLUMNS}) - nodes.append( - Node( - id="uk.full.geography_gate", - kernel=UKGeographyGateKernel.ref, - population="uk.full.expand", - inputs=population_slices(cells), - params=common, - artifact_outputs=(ArtifactOutput("gate", GEOGRAPHY_GATE_TYPE),), - description="Validate geography integrity before selected-target contributions.", - ) + gate = Node( + id="uk.full.geography_gate", + kernel=UKGeographyGateKernel.ref, + population="uk.full.expand", + inputs=population_slices(cells), + params=dict(common), + artifact_outputs=(ArtifactOutput("gate", GEOGRAPHY_GATE_TYPE),), + description="Validate geography integrity before selected-target contributions.", + ) + ladder = SourceRef( + "uk_ladder", "raw-bytes-v1", "Full UK atomic-area ladder with pinned vintages." + ) + return (*nodes, gate), (ladder,) + + +def _atomic_geography_nodes( + cells: dict, + *, + common: Mapping, + seed: int, + definition: Mapping, + identity_source: str, + source_vintage: str, +) -> tuple[tuple[Node, ...], tuple[SourceRef, ...]]: + """Identity-keyed assignment on the shared operators (release path order).""" + + from microcosm.build.atomic_geography import validate_assignment_spec + from microcosm.build.graph_atomic_geography import atomic_geography_nodes + + spec = validate_assignment_spec(definition) + if spec["identity"] != [atomic_area_support.IDENTITY_COLUMN]: + raise ValueError("UK atomic assignment must key on the geography identity.") + if spec["stream"][3] != seed: + raise ValueError("UK atomic assignment seed differs from the build seed.") + if {system["source"] for system in spec["systems"]} != set( + atomic_area_support.SOURCES.values() + ): + raise ValueError("UK atomic assignment must declare the three UK supports.") + identity = Node( + id="uk.full.identity", + kernel=UKGeographyIdentityKernel.ref, + population="uk.full.expand", + inputs=(Slice("household", tuple(sorted(UK_GEOGRAPHY_IDENTITY_INPUTS))),), + outputs=(Owned("household", atomic_area_support.IDENTITY_COLUMN, "string"),), + params={ + **common, + "source": identity_source, + "source_vintage": source_vintage, + }, + description="Key every post-clone household by its source id and ordered clone path.", + ) + cells[("household", atomic_area_support.IDENTITY_COLUMN)] = "string" + shared = atomic_geography_nodes( + spec, + tuple(Owned(e, c, dtype) for (e, c), dtype in sorted(cells.items())), + base="uk.full.expand", + prefix="uk.full.geography", + emit_validation_artifact=True, + ) + for node in shared: + cells.update({(o.entity, o.column): o.dtype for o in node.outputs}) + # The engine's local_authority enum input (microcosm#953) is UK-side: the + # shared derive writes the GSS code, this node resolves the member name + # the export gate and the engine require, between derive and the gates. + local_authority = Node( + id="uk.full.geography.local_authority", + kernel=UKLocalAuthorityResolveKernel.ref, + population="uk.full.expand", + inputs=(Slice("household", (UK_LOCAL_AUTHORITY_CODE_COLUMN,)),), + outputs=(Owned("household", UK_LOCAL_AUTHORITY_INPUT_COLUMN, "string"),), + params=dict(common), + description="Resolve the engine local_authority input from the derived GSS code.", + ) + cells[("household", UK_LOCAL_AUTHORITY_INPUT_COLUMN)] = "string" + # The shared gate's typed validation artifact is platform-scoped, so it is + # consumed by the pool checkpoint (uk.full.pool, no typed outputs), not by + # this distribution gate, whose own artifact feeds the bitwise UK chain. + gate = Node( + id="uk.full.geography_gate", + kernel=UKGeographyGateKernel.ref, + population="uk.full.expand", + inputs=population_slices(cells), + params=dict(common), + artifact_outputs=(ArtifactOutput("gate", GEOGRAPHY_GATE_TYPE),), + description="Validate the UK geography distribution on the identity-keyed assignment.", ) sources = ( - graph.sources - if any(s.name == "uk_ladder" for s in graph.sources) - else ( - *graph.sources, + SourceRef( + "uk_ladder", + "raw-bytes-v1", + "Full UK atomic-area ladder with pinned vintages.", + ), + *( SourceRef( - "uk_ladder", + atomic_area_support.SOURCES[system], "raw-bytes-v1", - "Full UK atomic-area ladder with pinned vintages.", - ), - ) + f"UK atomic-area support artifact for {system}.", + ) + for system in atomic_area_support.SYSTEMS + ), ) - return replace(graph, nodes=tuple(nodes), sources=tuple(sources)) + return (identity, *shared[:-1], local_authority, shared[-1], gate), sources def register_uk_population_kernels(registry: KernelRegistry) -> None: + from microcosm.build.graph_atomic_geography import ( + register_atomic_geography_kernels, + ) + for kernel in ( UKFamilySampleKernel(), UKSampleNormalizationKernel(), UKGeographicExpansionKernel(), + UKGeographyIdentityKernel(), + UKLocalAuthorityResolveKernel(), UKLocationDrawKernel(), UKGeographyMappingKernel(), UKGeographyGateKernel(), + UKPoolCheckpointKernel(), ): registry.register(kernel) + register_atomic_geography_kernels(registry) diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_terminal.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_terminal.py index 01191ac96..5df6d210a 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_terminal.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/graph_terminal.py @@ -45,6 +45,7 @@ from ..artifact_files import file_artifact from . import geography_ladder, national_frame +from .atomic_area_support import UK_NATIVE_ALIAS_COLUMNS from .geography_ladder import uk_geography_ladder_gate from .graph_population import context_frame, population_columns, population_slices from .national_frame import ( @@ -78,6 +79,12 @@ def _tables(frame: Frame) -> dict[str, pd.DataFrame]: renamed[entity] = tables[entity].rename( columns={column: ARTIFACT_CLONE_INDEX_COLUMN} ) + # Nation-native aliases of derived layers are NA outside their own nation; + # the single-year artifact carries the ten ladder columns plus the + # identity-keyed assignment columns, never the aliases. + aliases = [c for c in UK_NATIVE_ALIAS_COLUMNS if c in renamed["household"]] + if aliases: + renamed["household"] = renamed["household"].drop(columns=aliases) return renamed @@ -1284,6 +1291,17 @@ def rowwise_candidate_manifest_from_graph( ) or {} ) + # The request's geography binding (assignment mode, definition digest, + # support pins, identity column, stream) travels in the export descriptor. + export_descriptor = ( + _optional_graph_json( + final_manifest, store, "uk.full.export.prepare", "export_descriptor" + ) + or {} + ) + geography_binding = dict( + (export_descriptor.get("bindings") or {}).get("geography") or {} + ) enforcement = dict(gate_document["enforcement"]) gate_rows = _gate_rows(gate_document) local_scope = { @@ -1431,6 +1449,7 @@ def rowwise_candidate_manifest_from_graph( ), "missing_geography_rows": 0, "ladder_gate": {**geography_gate, "phase": "post_calibration"}, + "assignment": geography_binding, }, "gate": {**geography_gate, "phase": "post_calibration"}, "weights": { diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/local_authority_input.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/local_authority_input.py index dbe56dc70..6a80b7b6e 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/local_authority_input.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/local_authority_input.py @@ -43,6 +43,18 @@ UK_LOCAL_AUTHORITY_NAMES_KIND = "uk_local_authority_names" UK_LOCAL_AUTHORITY_NAMES_SCHEMA_VERSION = 1 UK_LOCAL_AUTHORITY_VINTAGE = "2023_april_lad" +#: The composite vintage ``tools/build_uk_oa_ladder_artifact.py`` writes on +#: the ``local_authority`` layer of a full-UK ladder: the April 2023 LAD list +#: is exactly the England and Wales LADs plus the 2019 Scottish council areas +#: plus the 2014 Northern Ireland LGDs, which is what the names resource +#: enumerates. An England-and-Wales-only ladder carries the plain vintage. +UK_LOCAL_AUTHORITY_LADDER_VINTAGE = ( + "ew:2023_april_lad;scotland:2019_council_area;ni:2014_lgd" +) +#: Ladder ``local_authority`` vintages that resolve through the names resource. +UK_LOCAL_AUTHORITY_LADDER_VINTAGES: frozenset[str] = frozenset( + {UK_LOCAL_AUTHORITY_VINTAGE, UK_LOCAL_AUTHORITY_LADDER_VINTAGE} +) #: ONS display names whose ``LocalAuthority`` member name is not the #: mechanical rule's output. The engine drops the apostrophe where the rule diff --git a/packages/microcosm-build/src/microcosm/build/uk_runtime/rowwise_cli.py b/packages/microcosm-build/src/microcosm/build/uk_runtime/rowwise_cli.py index 2b02f41d8..fd3f03180 100644 --- a/packages/microcosm-build/src/microcosm/build/uk_runtime/rowwise_cli.py +++ b/packages/microcosm-build/src/microcosm/build/uk_runtime/rowwise_cli.py @@ -355,6 +355,31 @@ def record_candidate_error( #: Solve arguments whose argparse default is ``None`` so an explicit value can #: be told from the role's default: the other role's refusal table keys on #: what was actually given. +#: CLI labels of the three UK atomic-area supports (microcosm#932), in +#: ``atomic_area_support.SYSTEMS`` order; ``full_build_cli`` declares the +#: ``--atomic-support-