Entering a parent's Försäkringskassan balances had no tests at all, despite
being how every number in the planner originates and despite it becoming the
first thing a new user does. The scraper endpoints are pinned per test rather
than read from the ambient configuration, because a local .env sets the flag
opposite to the shipped default and a test that trusts it would pass here and
fail in CI.
Also covered: the hard expiry at twelve, whose rejection path nothing reached
and whose boundary turns out to be inclusive; and the dubbeldagar count cap,
which now drives past the limit and asserts the days beyond it fall back to a
single parent. Two weak assertions were strengthened, including one that
derived its expectation from the same response it was checking and so could
not have failed on a shared error.
The calendar is becoming the plan: a user edits a period and the schedule
updates immediately, with no separate propose and apply steps. POST
/api/plan/sync does both and returns a per-date diff against a snapshot taken
before any write, so the interface can say what actually moved rather than
guessing from coarse counters.
Pinned days now mean something. A day the user hand-edited keeps its type and
its parent: the loader hides unpinned wish-attributed rows from the allocator
so a re-plan is free to move them, while pinned rows stay visible and the
existing occupancy check refuses to touch them. Their cost is debited off the
pool before any window is funded, following the precedent already set for
preschool planning days.
Propose and apply are untouched. The allocator stays pure.
Three changes that together unblock treating a calendar period as one
editable object.
Migration 008 adds `planned_leave_day.wish_id` (nullable, ON DELETE SET NULL)
so a persisted day knows which `leave_wish` produced it, `is_pinned` to mark a
day the user hand-edited, and `leave_wish.target_days` so a period drawn on a
calendar need not be a whole number of weeks. Apply-time identity still keys on
day_type/is_dubbeldag only, so a wish_id-only difference is a metadata update
rather than a collision.
The age-4 savable ceiling was applying the per-child figure of 96 to each
parent's pool, modelling a two-parent family as able to save 192 days past the
child's fourth birthday. `resolve_age4_savable_cap` is now the single place
that decides 48 (couple with two parents) versus 96 (everyone else), and both
AnalyticsService and the allocator read it.
Migration 009 drops `workspace.planning_goal` and `leave_wish.goal_override`.
The allocator's tier-3 policy collapses to one rule; `salary_type` still
branches, since that reflects what a vacation day actually costs a parent
rather than a user preference.
Preset wish names follow the UI language in the wish editor, but the plan
proposal still rendered outcome.wishName straight from the stored
entity.name, so a proposal could show "Höstlov" with the UI in English.
The proposal now carries wish_name_message_key alongside each wish name,
and the frontend resolves it with the same helper the editor uses --
falling back to the stored literal when the key is absent or unknown.
Nothing is translated on the backend; text crosses the wire as a key.
Four surfaces carried a name and all four are covered: WindowOutcome
itself, the explanation summary's interpolated data, and two remedies --
including REMEDY_LOWER_PRIORITY_WISH, which names a *different* sibling
wish whose key can differ from the outcome's own.
The proposal response mapping is hand-written and has dropped new fields
twice before, so this is covered by an API-level test asserting the field
reaches the response body, not only a service test.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RXMhc9nT6sNz1SL4j8dznL
Second real bug found by driving the running app while the suites were green.
Flexible wishes were funded twice across propose -> apply -> re-propose. Because
planned_leave_day carries no wish_id, the engine could not tell that applied days
were that wish's own prior occurrence; it treated them as occupied space, routed
the candidate search around them, and funded the year again on shifted dates while
reporting weeks_funded 1.0. Applying twice turned "one week each spring" into 18
paid days instead of 9. Fixed wishes were unaffected and stay unaffected.
Fix (allocation_service.py), per the approved approach of counting already-applied
days inside the bounding range rather than adding a wish_id column:
- _Ledger._persisted_lookup snapshots existing days BEFORE this run folds in its
own freshly-computed windows, so a fixed wish's new placement is never mistaken
for a flexible wish's history
- _reuse_already_funded_window finds this wish's persisted dates within its bound
and reuses the window containing them, via the ordinary fund_window path
- full funding therefore yields zero new days and partial funding tops up exactly
the remainder, with no duplication and no false shortfall
- with no persisted dates, or if the reused window is no longer collision-free, it
falls through to the original search, so an unsatisfied year is never frozen
Calendar cache extended 2026-2035 -> 2026-2055 (39KB -> 116KB) and the allocator
switched to strict, so an uncached year raises UncachedYearError -> ValidationError
-> HTTP 422 instead of silently treating Julafton, Nyarsafton and Midsommarafton as
working days. Also fixed normalize_day dropping the second name when two holidays
share a date (Nationaldagen was being lost). 2049 and 2055 legitimately have 17 red
days, not 18: Pingstdagen coincides with Nationaldagen.
New backend/tests/integration/test_user_journey.py drives the real app over HTTP
across seven journeys: the double-booking guard, the fixed-wish control, apply
idempotency, fixed-never-displaced-by-flexible, flexible wishes tracking Easter
per year, age-4 arithmetic self-consistency, and a recursive check that no Swedish
text reaches the wire now that everything is message_key + data.
New backend/scripts/seed_demo.py seeds a realistic workspace through the real
service layer for manual testing: demo@example.com / DemoPass123!
Backend 414 -> 435 tests. Frontend unchanged at 705.
Still not verified in a browser.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RXMhc9nT6sNz1SL4j8dznL
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
jacobh2