Khalim Conn-Kowlessar ae267070b1 feat(modelling): flat per-property CSV for the inspection report ... format_report_csv emits one comma-safe row per property: the calculator-error fields (lodged/calculated/Δ/flag), the Plan headline figures (baseline+post SAP/band, measures, cost+contingency, bill & CO2 savings, valuation %), the flattened measure triggers, and any captured error — sortable in a spreadsheet for a large dump. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-04 11:16:52 +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): flat per-property CSV for the inspection report	2026-06-04 11:16:52 +00:00
sample_catalogue.json	feat(modelling): robust offline modelling inspection (run_modelling)	2026-06-04 09:19:18 +00:00