Khalim Conn-Kowlessar d8ef40c745 feat(modelling): offline cohort runner over an EPC-JSON dump ... `harness.cohort.run_cohort(paths)` parses each API-shaped EPC JSON with from_api_response and models it via run_modelling — no database, no network — capturing per-cert errors instead of aborting the sweep, plus `format_cohort_summary`. A thin `scripts/run_modelling_cohort.py` CLI points it at a directory. Proven over the 57 golden API certs: 56 ran offline, 15 produced measures, 1 errored (COAL has no Fuel Rates entry — a BillDerivation coverage gap, not a harness one). Ready for the EPC dump. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-04 09:23:32 +00:00
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download_cotality_evidence.py	new methods for downloading all core files for pashub URL. Download currently not being authorised	2026-03-24 08:47:59 +00:00
fetch_cohort2_api_jsons.py	Move sap10_calculator tests to tests/domain/sap10_calculator/ for CI	2026-06-02 16:58:00 +00:00
historic_epc_demo.py	added type hinting to uprn	2026-05-12 09:40:12 +00:00
init_db.py	init db	2026-03-31 11:45:59 +00:00
rename_sharepoint_files.py	rename files in sharepoint to desired structure	2026-05-20 16:26:07 +00:00
run_modelling_cohort.py	feat(modelling): offline cohort runner over an EPC-JSON dump	2026-06-04 09:23:32 +00:00
sero_address_list.csv	add address list	2026-05-21 15:30:03 +00:00