The action was registered + the block declared, but the automation
builder's per-action config renderer didn't have a case for
`personalized_pipeline` so users only saw the bare card with the
generic delay-minutes input — no way to select which playlists to
sync. This commit adds the multi-select picker.
Backend:
- `core/personalized/api.list_kinds(manager=...)` now optionally
takes a manager and includes the resolved variant list per kind
(calls each spec's variant_resolver(deps) when present). Singleton
kinds get an empty `variants` list. Variant-bearing kinds
(time_machine / genre_playlist / daily_mix / seasonal_mix) get
their full enumerated set.
- `web_server.py` `/api/personalized/kinds` route now passes a built
manager so the variants list lands in the response.
Frontend:
- `webui/static/stats-automations.js` `_renderBlockConfigFields`
gains a `personalized_pipeline` branch that renders a scrollable
multi-select picker:
- Singletons (Hidden Gems, Discovery Shuffle, Popular Picks,
Fresh Tape, The Archives) = one checkbox row per kind
- Variant kinds = a section header + one checkbox row per variant
(e.g. Time Machine: 1960s/1970s/.../2020s; Seasonal: halloween/
christmas/valentines/summer/spring/autumn)
- Pre-checks rows that match the existing `kinds` config on edit
- New `_autoLoadPersonalizedKinds(slotKey)` fetches `/api/personalized/kinds`
(cached after first load), renders the picker DOM, and pre-checks
saved selections via `data-kind` / `data-variant` attributes on
the checkboxes.
- `_renderBuilderCanvas` calls the loader for any `cfg-*-kinds-picker`
it finds in the freshly-rendered slots.
- The save-time `_collectActionConfig` walks the picker's checked
inputs (matched by `data-kind` attribute) and emits
`{kinds: [{kind, variant?}, ...], refresh_first, skip_wishlist}`
in the same shape the handler expects.
Tests:
- `tests/automation/test_automation_blocks.py::_FIELD_TYPES` adds
'personalized_playlist_select' so the block-shape regression test
accepts the new field type. (Test was failing because it whitelists
every field type used across all blocks.)
- 189 automation + personalized API tests pass; full suite intact.
Wraps the manager + generator dispatch behind one HTTP surface so
the UI can drop the patchwork `/api/discover/personalized/*` calls
in favor of a single REST shape. Legacy endpoints stay alive for
backward compat during the UI migration window.
New endpoints:
- GET /api/personalized/kinds — list every registered kind + metadata
- GET /api/personalized/playlists — list every persisted playlist for the active profile
- GET /api/personalized/playlist/<kind> — fetch singleton + tracks
- GET /api/personalized/playlist/<kind>/<variant> — fetch variant + tracks
- POST /api/personalized/playlist/<kind>/refresh — regenerate singleton
- POST /api/personalized/playlist/<kind>/<variant>/refresh — regenerate variant
- PUT /api/personalized/playlist/<kind>/config — patch singleton config
- PUT /api/personalized/playlist/<kind>/<variant>/config — patch variant config
Per-call manager construction wires the deps each generator needs:
- database (MusicDatabase singleton)
- service (PersonalizedPlaylistsService for legacy generator calls)
- seasonal_service (SeasonalDiscoveryService for seasonal_mix)
- get_current_profile_id (active profile accessor)
- get_active_discovery_source (source dispatcher)
API handlers themselves live as pure functions in
`core/personalized/api.py` so they're testable without Flask. The
Flask layer in `web_server.py` is a thin parse-body / call-handler /
jsonify wrapper.
11 new boundary tests (122 personalized total):
- list_kinds enumerates registry, exposes default config + tags
- list_playlists returns empty list when none exist, serializes
PlaylistRecord shape correctly
- get_playlist_with_tracks auto-creates on first access, returns
persisted tracks, raises ValueError on unknown kind
- refresh_playlist runs generator and returns track snapshot,
forwards config_overrides to the generator
- update_config patches stored config
3365 tests pass total. Manager construction triggers generator
registration via `from core.personalized import generators` import
side-effect.
