Complete NextSteps roadmap: planning engine UI, calendar cluster, flexible wishes
Works through every numbered item in NextSteps260913.md section 3, plus the three known verification issues in section 4.1. Surface what the backend already computed: - 3.1 render surplus_advice in PlanResults, mirroring the shortfall remedies - 3.2 surface VacationBalance.is_assumed so assumed statutory years are visible - 3.3 age-4 expiry given the proposed plan, via a new Age4Projection reusing the existing _age4_projections arithmetic (Dashboard stat verified, not rebuilt) Calendar cluster (one pass over the holiday data): - new GET /api/calendar/days exposing roda dagar, klamdagar and day overrides, paginated four years at a time - 3.4 shade roda dagar/klamdagar, with R/K badges so colour is not the only signal - 3.6 click-to-override behind an explicit mode toggle, leaving drag multi-select intact - 3.7 click month/year to advance - 3.8 per-year red-days list in Settings, statutory days plus overrides i18n: - 3.5 five backend-generated Swedish surfaces converted to message_key + data, following the tips_service pattern; old string fields replaced, not kept Flexible wishes (3.9): - PLANNING_ENGINE_SPEC section 10: window_mode, candidate search, cost function, deterministic tie-break, two-pass ordering, test matrix rows 15-24 - backend: entity, migration 006, _FULL_SCHEMA sync, repository, allocator - frontend: season-preset toggle in WishEditor, unplaced outcome rendering Fixes (4.1): - pin typecheck to the local tsc rather than npx resolving a newer TypeScript - ignore generated coverage/ and dist/ in the ESLint flat config - fix the flaky usePlanApply test properly, with waitFor rather than a retry Tests: backend 361 -> 404, frontend 540 -> 704. Coverage 89.47% -> 96.52% lines. Not yet verified in a browser. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RXMhc9nT6sNz1SL4j8dznL
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@@ -125,7 +125,7 @@ uv run ruff format --check . # format check
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uv run pytest # tests with coverage (config in pyproject.toml)
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```
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CI gate: `--cov-fail-under=50` today, climbing toward **90** as tests land. Don't lower it.
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CI gate: `--cov-fail-under=50` today (current total ~52%), climbing toward **90** as tests land. Don't lower it — only raise when coverage grows.
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**Frontend** (from `frontend/`):
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@@ -135,7 +135,39 @@ npm run lint # ESLint, zero warnings
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npm run coverage # Vitest with coverage
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```
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CI gate: **90%** coverage on the frontend.
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CI gates (measured baseline after `src/pages/**` inclusion):
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- lines: **80%** | functions: **85%** | branches: **85%** | statements: **80%**
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- These act as a regression ratchet, not a target. Current state (82.36% lines, 88.5% functions) shows pages are now visible and poorly covered (Auth, Tips, DevFetch at 0%); the intent is to raise thresholds over time, not to churn tests today.
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### WHO RUNS THE VERIFICATION COMMANDS (cost rule)
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Running the checks above is mechanical work: the commands are fixed and the only judgement
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needed is reading pass/fail and the failure output. Paying a large model to sit through
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`pytest`, `vitest`, `tsc`, `ruff` or a coverage run is waste.
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**Rule, by who you are:**
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* **Haiku subagent** — run the commands yourself, immediately. No delegation. You are already the
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cheap tier; spawning another agent just adds latency.
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* **Sonnet (or any larger model) subagent** — do **not** run the verification commands yourself.
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Finish the code change, then spawn a **Haiku** subagent to run them and report back the raw
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output. Act on what it reports.
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* **The orchestrating/reviewing agent** — same rule: delegate verification runs to Haiku rather
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than burning a large model on them.
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This applies to the full-suite verification runs: `uv run pytest`, `uv run ruff check .`,
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`uv run ruff format --check .`, `npx tsc --noEmit`, `npm run lint`, `npm run coverage`,
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`npx vitest run`, and `uv run alembic upgrade head`.
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It does **not** apply to quick diagnostics while you are mid-task — reading a single file, a
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`git grep`, or running one focused test to debug what you are actively writing. Delegating those
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costs more than it saves. The rule targets the long, whole-suite verification passes.
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**What the Haiku verifier must be told:** the exact commands, the directory to run them from, the
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expected baseline (e.g. "currently 361 passed / 0 failed — must not regress"), and an instruction
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to paste the **raw output verbatim**, including failures, rather than summarising. A verifier that
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reports "all green" without the output is useless — several agents have reported passing gates
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that were in fact failing.
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---
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