The context sets, the packaged knowledge bases and the example bundles are
replaced by one fictitious example set about IT operations in an invented
organisation: three context sets (serverrom-2027, driftsavtale-2027 and the
two-base drift-og-avtale-2027), two synthetic knowledge bases under
src/portfolio_optimiser/data/kunnskapsbaser and two example bundles under
src/portfolio_optimiser/data/bundles. Numbers, codes and structural values in
tests and fixtures are kept; names, ids and wording change. Dated measurement
documents that only recorded runs on the replaced material are deleted.
Gate figures measured on the new set are not comparable with earlier ones.
The exclusion gate from the previous commit is green: 0 tracked files hit
outside the shared/ subtree.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
main() gains a --portfolio mode flag dispatching to the EXISTING run_portfolio (not modified):
loads --goals/--ledger/--dimension-config via the fail-fast loaders, passes project_ids=(pid,)
or None (all reference projects), and prints a deterministic goal-stop line
'goal reached: scope=... project=... observed_ore=... limit_ore=... stopped_early=...' from the
returned GoalReached/PortfolioResult. Positional project_id relaxed to nargs='?' and --docs-dir to
optional, with a compensating single-project-mode guard (no pid/no --docs-dir -> rc 1 refusal) so
the legacy contract still fails loudly. Dispatch + guard sit BEFORE the live_dry_run branch
(Pass-2 #3 — appended after, they'd be dead code). Loader failures use the same structured refusal
('portfolio run refused: ...'). Load-bearing pair (RED-first): portfolio-hard goal already met
breaks offline before any client (scope=portfolio, stopped_early=True); per-project-hard control
skips the only pid (scope=project, stopped_early=False) — the two arms force the printed fields to
derive from run_portfolio's real values. Marker 13731 øre. 9 passed, ruff + mypy clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KNNiJRk1sSwxgVLS5AobT1