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10 commits

Author SHA1 Message Date
Jun-te Kim
e519de26a4 Pin uprn_10093116336 (full-SAP gas-combi 2-storey semi): engine 83 vs Elmhurst 79
6th sibling full-SAP cert; same documented full-SAP→RdSAP +4 residual. Build clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 09:41:29 +00:00
Jun-te Kim
317220beba Pin uprn_10093116334 (full-SAP gas-combi bungalow): engine 81 vs Elmhurst 77
5th sibling full-SAP cert validated against Elmhurst (semi-detached bungalow,
same street/boiler PCDB 17505 as 10093116324). Engine 81 (lodged 82); Elmhurst
worksheet 77. The +4 is the documented full-SAP→RdSAP residual. Build verified
clean (storeys=1, no phantom conservatory). Worklist strategy note added.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 09:32:57 +00:00
Jun-te Kim
3eb0022034 Pin uprn_10093116324 (full-SAP gas-combi bungalow): engine 79 vs Elmhurst 74
4th sibling full-SAP cert validated against Elmhurst. Engine 79 (lodged 80);
Elmhurst worksheet 74. The +5 is the documented full-SAP→RdSAP residual — engine
uses the cert's measured U-values (wall 0.19/floor 0.12/roof 0.12) + PCDB combi
17505 (88.5%); Elmhurst uses RdSAP band-L defaults + generic 84% BGW combi. Build
verified clean (single-storey bungalow, no phantom conservatory, TFA 52/51.9).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 09:10:36 +00:00
Jun-te Kim
5669676917 Annotate full worklist with autonomous-run triage results
Every worklist UPRN now carries schema · engine SAP / lodged · flag. Tally:
64 healthy, 19 MVHR-not-credited (🚩 flag B), 6 heat-pump fuel-39 (🚩 flag A),
4 sparse/NOT MAPPABLE (), 3 Elmhurst-pinned. MVHR is the largest accuracy gap.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 20:36:28 +00:00
Jun-te Kim
0b32d9fcee Add SAP-16.3 + SAP-17.0 schema coverage (completes the e2e UPRN set)
- SAP-Schema-16.3: same reduced-field RdSAP shape as 16.2 — generalise the
  normaliser to _normalize_sap_schema_16_x and route both 16.2/16.3 through it.
  uprn_44012843 maps → SAP 79 (lodged 81).
- SAP-Schema-17.0: structurally identical to the full-SAP 17.1 schema (measured
  sap_opening_types), so it parses with the 17.1 dataclass and reuses
  from_sap_schema_17_1 with no normalisation. uprn_10023444324 → 80, uprn_
  10023444320 → 81.
- Regression tests (16.3 dispatch, 17.0 dispatch) + sap_16_3.json / sap_17_0.json
  fixtures; 0 new pyright errors. All 7 e2e UPRNs now map.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 19:24:50 +00:00
Jun-te Kim
4d14607e7e Add SAP-16.2 schema coverage + single-glazing fix; flat party-wall fix; pin 2 certs
SAP-Schema-16.2 (datatypes/epc/domain/mapper.py):
- 16.2 is structurally an RdSAP-17.1 cert under a different name; add
  _normalize_sap_schema_16_2 (field renames + defaults) and dispatch to the
  tested from_rdsap_schema_17_1 mapper. uprn_100020933699 maps → SAP 71.
- Honour a "Single glazed" windows description when multiple_glazing_type="ND"
  (was defaulting to double) → RdSAP-21 code 5; eng 72→71 (lodged 70).
- 4 regression tests + sap_16_2.json fixture; 0 new pyright errors.

Flat party-wall fix (domain/sap10_calculator/worksheet/heat_transmission.py):
- Full-SAP flats carry flatness in dwelling_type, not property_type, so the
  party-wall default fell through to the 0.25 house value instead of the RdSAP
  Table-15 flat 0.0. Add _is_flat_or_maisonette_dwelling fallback + regression
  test. uprn_10093116529 80→81 (matches the cert's lodged party u_value 0).

Accuracy corpus pins (tests/domain/sap10_calculator/test_real_cert_sap_accuracy.py):
- uprn_10093116543 (SAP-17.1 gas-combi semi): engine 81 (Elmhurst 77; documented
  full-SAP→RdSAP residual — measured wall/floor U + PCDB boiler vs RdSAP defaults).
- uprn_10093116529 (SAP-17.1 g/f flat): engine 81 (Elmhurst 78).

devcontainer: add poppler-utils (pdfinfo) for the documents-parser PDF fixtures.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 18:53:00 +00:00
Jun-te Kim
2f0eb49eee Checkpoint: UPRN 10093116543 Elmhurst build + devcontainer VNC/Playwright + perms
- Add SAP-accuracy sample for uprn_10093116543 (epc.json, elmhurst_inputs.md,
  summary/worksheet PDFs)
- Persist hyde viewer stack (xvfb/fluxbox/x11vnc/novnc/websockify) and Playwright
  chromium in the backend devcontainer; forward noVNC 6080
- Broaden .claude/settings.local.json allowlist (display/python/grep/tail)
- In-progress campaign mapper/cert_to_inputs work carried from prior cert

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 15:21:56 +00:00
Jun-te Kim
dad3044740 save skills and automation progress 2026-06-16 12:17:43 +00:00
Jun-te Kim
5c11fd35c8 Validate SAP calculator vs Elmhurst; fix reduced-field window U; add accuracy harness
Reduced-field window U: heat_transmission derived the synthesised-window
raw U from u_window(all None) -> the 2.5 placeholder regardless of glazing.
Now routes the (uniform) glazing_type code through u_window (RdSAP Table 24)
so e.g. double pre-2002 reads 2.8, not 2.5. Only the pre-SAP10 reduced-field
path is affected (21.0.1 certs carry per-window U upstream) — the RdSAP-21.0.1
corpus gauge is unchanged at 66.9% within-0.5.

test_real_cert_sap_accuracy: pin uprn_10002468137 (RdSAP-17.1, all-electric
storage heaters) at SAP 61, validated against Elmhurst on identical inputs
(dual off-peak immersion, 110 L cylinder, 2 baths). Our engine reproduces
Elmhurst's fuel cost to the penny; lodged 55 is the old SAP-2012 schema.

Tooling to grow the accuracy corpus:
- scripts/fetch_real_life_epc_sample.py — capture a cert by UPRN into the corpus.
- scripts/compare_epc_paths.py — diff gov-API vs Elmhurst-summary EpcPropertyData
  and run both through the engine, localising mapper vs calculator differences.
- skill validate-cert-sap-accuracy — the end-to-end loop (capture -> Elmhurst
  inputs -> human builds -> compare -> reconcile -> pin in the test).
- skill epc-to-elmhurst-rdsap-inputs reference: corrected immersion (code 1=dual),
  cylinder size (code 2 = Normal/110 L), and bath-count (WWHRS sub-tab) mappings.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-15 15:26:11 +00:00
Jun-te Kim
0079752eab inviestigation with hyde values 2026-06-15 12:13:11 +00:00