Model/backend/documents_parser
Khalim Conn-Kowlessar d3f36d78ac PasHub SAP accuracy: pin 13 Walsden to its re-survey SAP 64, not the colliding 68 🟩
13 Walsden (deal 499630239947, uprn 77179782) has TWO distinct gov-EPC
assessments: the PAS Hub site-note re-survey we parse (26 May 2026,
accredited SAP 64, backed by rd_sap_site_note files) and a SEPARATE
later lodged cert (24 Jun 2026, SAP 68, registered, no site-note). The
portfolio-838 baseline latched onto the 24-Jun SAP-68 cert; our engine
models the survey it was given and reproduces its own accredited 64
(64.19). 6 of 7 Walsden Street homes have pbp oracle == PAS Hub survey
SAP exactly — #13 is the lone collision.

A durable regression pin (asserts our SAP within 0.5 of a literal 64,
not the manifest value the fixture-builder can revert to a colliding DB
row) documents the provenance so nobody "corrects" the target to 68.
13 Walsden is a known re-survey-diverges outlier, not an engine
under-rate; confirmed against pashub (Khalim, 2026-07-15e).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-16 00:52:33 +00:00
..
handler address JTK review comments 2026-04-20 15:11:17 +00:00
tests PasHub SAP accuracy: pin 13 Walsden to its re-survey SAP 64, not the colliding 68 🟩 2026-07-16 00:52:33 +00:00
__init__.py Map to RdSapSiteNotes from site notes JSON 🟥 2026-04-16 13:54:03 +00:00
db_writer.py include updating epc_property_data to pashub to ara workflow 2026-04-29 09:55:14 +00:00
elmhurst_extractor.py fix(ventilation): read Blower Door AP50 pressure test (Summary) 2026-06-16 23:18:17 +00:00
extractor.py PasHub SAP accuracy: infiltration inputs + immersion DHW + lights/lobby/heat-network (#1615) 2026-07-16 00:30:55 +01:00
local_runner.py update local runner to work for elmhurst 2026-04-24 14:01:36 +00:00
parser.py Persist resolved UPRN on PasHub site-notes rows (#1537) 2026-07-10 13:19:28 +00:00
pdf.py update local runner to work for elmhurst 2026-04-24 14:01:36 +00:00