A repeating period was a single row that the planner expanded into one
window per year at read time, so no year had anywhere to differ from the
others. Editing one year rewrote them all, and removing a year in the
middle had to split the wish in two. Neither survives contact with the
thing this app is for: Easter moves, and the cheapest week is not the
same week every year.
Each year is now its own row, linked by a series id. Editing one year
touches one row; editing the series re-projects the rest from it.
Removing a year is one delete. The weekday snap is worked out once, when
the rows are made, and stored, so a row now says what it means rather
than being re-derived on every read. Recurrence stops being a stored
field and becomes what it always was in practice — an instruction at
create and update time; whether a period repeats is whether it belongs
to a series.
Migration 004 rebuilds the table and expands the existing rows, keeping
each original row as its first year so the days already planned against
it still point somewhere. A Feb 29 anchor recurring into a common year
used to raise out of the allocator; it clamps now.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ei7gCZzdd751uZtPzb1Pep
Manual entry now takes one parent's sjukpenningnivå, lägstanivå and
dubbeldagar left (plus optional reserved days) and derives the rest in
build_snapshot, shared with the scraper. The scraper also reads the
family panel and exposes a partner deduction; with two parents it is
saved as a 'deduced' snapshot (migration 002). Parent count is the single
source of entitlement: one member gets 480 days and 96 savable at age 4,
two get 240 and 48 each. Workspaces are capped at two parents.
Also lands the in-flight squash of migrations 002–011 into the initial
schema and the removal of planning_mode.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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.
First real browser walkthrough of the app, against seeded demo data. All 1140
tests were passing; none of these four were visible to them.
Age-4 entitlement (high severity, domain bug). The no-snapshot fallback gave a
single parent rules.sjukpenning_days + rules.lagsta_niva_days = 390 + 90 = 480
days, but those config values are the whole CHILD's combined tier totals across
both parents, not one parent's share. The correct fallback is days_per_parent
(240 = 195 + 45), which only AnalyticsService used. So a parent without an FK
snapshot was credited with roughly double their real entitlement, and the
Dashboard and Plan tab disagreed about expiring_at_b4 for the same committed
state. The wrong default existed in three places; allocation_service.py and
planning_service.py are corrected, and analytics_service.py now calls the shared
pure days_left_at_age_4_projection instead of re-deriving the arithmetic, so
there is one source of truth. A test that had encoded the buggy 390/90 default
as expected behaviour is corrected too.
The Dashboard stat is workspace-wide while the Plan tab breaks down per parent,
which is legitimate but was unlabelled and contributed to the confusion; the
dashboard label now says it is a combined all-parents total.
Nonsensical remedy text. lower_priority_wish computed
max(other.target_weeks // 2, 1), which for a 1-week wish clamped back to 1 and
rendered "Lowering Var from 1 to 1 weeks frees up 32 days". target_weeks has a
domain floor of 1 and the planner works in whole days, so there is no smaller
whole-week suggestion to make: the remedy is now suppressed for 1-week wishes.
Wishes of 2+ weeks still get a genuine, strictly smaller suggestion.
Day override invisible until reload. Calendar refetched the overrides list but
not GET /api/calendar/days, which backs the grid's shading and badges, so a
just-applied override did not render. useCalendarDays now exposes refetch and
Calendar calls it after a successful upsert or remove.
Dashboard showed the previous user's data after a login swap. WorkspaceContext
sits above the router and outlives login/logout, and its refetch was gated on
!workspaceId || children.length === 0 - so precisely because the old session's
data was still present, the guard blocked the refetch. It now keys off an
explicit isAuthenticated transition and clears state on the logout edge itself,
including the persisted localStorage workspaceId, so one account's figures can
never be briefly visible under another's session. useAnalytics, useParentalLeave
and usePlannedDays clear cached data on identity loss as defence in depth.
Backend 435 -> 439 tests, frontend 705 -> 710.
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