Khalim Conn-Kowlessar 1c00708ecd feat(modelling): render the three-section inspection report as Markdown ... format_report_markdown emits: (1) cohort parity stats + a per-property lodged-vs-calculated table flagging |Δ| > 0.5 (errors shown inline), (2) Plans + costings (SAP/band jump, cost + contingency, bill & CO2 savings, valuation uplift), (3) each fired measure with the EPC attributes that triggered it. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-04 11:15:12 +00:00
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__init__.py	feat(modelling): sense-check table for a Plan in the DB-less harness	2026-06-04 08:06:53 +00:00
cohort.py	feat(modelling): turnkey offline cohort script (tables + CSV)	2026-06-04 09:30:53 +00:00
console.py	feat(modelling): robust offline modelling inspection (run_modelling)	2026-06-04 09:19:18 +00:00
plan_table.py	feat(modelling): wire Valuation Uplift onto the Plan	2026-06-04 08:59:04 +00:00
report.py	feat(modelling): render the three-section inspection report as Markdown	2026-06-04 11:15:12 +00:00
sample_catalogue.json	feat(modelling): robust offline modelling inspection (run_modelling)	2026-06-04 09:19:18 +00:00