Adds ``discover_tracks(tracks) -> List[NormalizedTrack]`` to the
PlaylistSource interface. Sources whose tracks already carry
provider IDs (Spotify, Tidal, Qobuz, YouTube, Deezer, Spotify
public, iTunes link, SoulSync Discovery) inherit a no-op default;
ListenBrainz + Last.fm override to run the matching engine.
This closes the last gap before LB / Last.fm / SoulSync Discovery
can land as Sync-page mirror sources: the refresh handler now
calls ``source.discover_tracks(...)`` whenever a source returns
tracks with ``needs_discovery=True``, so mirrored LB rows arrive
already discovered + ready for the sync pipeline. Previously, LB
playlists ran through a separate state-machine worker tied to the
Discover-page UI, with results stored in ``discovery_cache``
instead of ``mirrored_playlist_tracks.extra_data``.
Changes:
- ``core/playlists/sources/base.py`` — PlaylistSource switches from
Protocol to ABC so a concrete default for ``discover_tracks``
can live on the base class. The four real-work methods stay
``@abstractmethod``; instantiating an adapter that forgets one
fails loudly at construction.
- ``core/discovery/matching.py`` (new) — pure ``match_mb_tracks``
helper that runs Strategy-1-only matching-engine queries against
Spotify (primary) or iTunes (fallback). No state machine, no
discovery-cache writes, no wing-it stub — that richer flow stays
in ``core/discovery/listenbrainz.py`` for the Discover-page UI.
- ``ListenBrainzPlaylistSource`` + ``LastFMPlaylistSource`` take
an optional ``discover_callable`` constructor arg. Last.fm reuses
the LB implementation since the track shape is identical.
- ``bootstrap.build_playlist_source_registry`` accepts a
``discover_callable`` kwarg and wires it into LB + Last.fm
adapters.
- ``web_server.py`` boot constructs the discovery callable from the
existing matching engine + ``_discovery_score_candidates`` +
Spotify / iTunes clients, passes through to the registry.
- ``refresh_mirrored.py`` adds a small ``_maybe_discover`` helper
that calls ``source.discover_tracks(...)`` between fetch and
``to_mirror_track_dict`` projection — only fires when at least
one track has ``needs_discovery=True``, so the normal Spotify /
Tidal / etc. refresh path stays a zero-cost pass-through.
Tests:
- 5 new adapter tests: default no-op pass-through, LB discovery
with mixed matches/misses, LB no-callable fallback, Last.fm
shares the LB implementation, mirror-dict spotify_hint emit.
- 1 new automation test: end-to-end LB refresh with a stub
discover_callable proves the matched_data lands in
``mirror_playlist_tracks.extra_data`` after the registry
refresh + discover hop.
225 tests across adapter + automation suites green.
Phase 1a of the Discover-to-Sync unification. The mirrored-playlist
refresh handler used to branch per-source through a ~190-line
if/elif chain (Spotify, Spotify public, Deezer, Tidal, YouTube).
Each branch hand-built its own ``extra_data`` JSON for the matched-
data block. With every new source we considered for Sync-page mirror
support (ListenBrainz, Last.fm radio, SoulSync Discovery, iTunes
link), that chain would have grown a new elif.
This commit lifts the per-source logic into the existing adapter
layer and collapses the dispatch to a registry lookup:
- ``core/playlists/sources/deezer.py`` — new adapter so the registry
covers every source the refresh handler previously branched on.
- ``core/playlists/sources/bootstrap.py`` — single helper that builds
a populated registry from injected getter callables. Both
``web_server.py`` boot and the automation test fixtures call it,
so the two construction paths can't drift.
- ``core/playlists/sources/base.py`` — ``to_mirror_track_dict``
projection helper centralises the NormalizedTrack → DB-row
conversion (including the discovered/matched_data and
spotify_hint extra_data shapes the downstream sync + wishlist
consumers already expect).
- Spotify adapter now populates ``extra['discovered']`` + an
``extra['matched_data']`` block when fetching via the authed API,
so Spotify mirrors keep landing pre-discovered (matches the
pre-refactor contract pinned by
``test_spotify_refresh_writes_to_db``).
- Spotify-public adapter populates ``extra['spotify_hint']`` so the
discovery worker can skip its search step and jump straight to
enrichment for the known track ID.
- All artist-name fields now project to first-artist-only across
every adapter — matches the pre-refactor mirror_playlist DB shape
(``t.artists[0]``).
``refresh_mirrored.py`` shrinks ~190 → ~80 lines and keeps:
- the file/beatport unrefreshable-source filter,
- URL extraction from ``description`` via ``require_refresh_url``
for spotify_public + youtube,
- the Spotify-public → authed-Spotify fallback when the user is
signed in (handler-level branch, not in any adapter),
- the Tidal-not-authenticated soft-skip log (skip, not error),
- existing-extra_data preservation across refreshes,
- the ``playlist_changed`` automation event emit on track-set delta.
Test scaffolding:
- ``_build_deps`` in ``tests/automation/test_handlers_playlist.py``
now builds a default registry from the passed clients via
``build_playlist_source_registry``, so existing refresh tests
exercise the same path without per-test changes. New tests cover
Tidal-not-authed soft-skip, Deezer refresh writes plain tracks,
YouTube refresh reads URL from description, and Spotify-public
uses authed Spotify when signed in.
- 4 new adapter tests for Deezer projection +
``to_mirror_track_dict`` (minimal track, Spotify matched_data,
Spotify-public spotify_hint).
- ``playlist_source_registry`` field on ``AutomationDeps`` defaults
to ``None`` so the other 5 automation test files (which don't
exercise refresh_mirrored) keep working unchanged.
220 tests across automation + adapter suites green.
The Auto-Sync schedule board was detecting its own automations by
checking `group_name === 'Playlist Auto-Sync' || name.startsWith('Auto-Sync:')`.
That's fragile — renaming the row from the Automations page silently
hands ownership back to the read-only Automation Pipelines tab and the
board stops managing it.
This commit replaces the string convention with an explicit
`automations.owned_by` TEXT column:
- Migration `_add_automation_owned_by_column` adds the column and
backfills `'auto_sync'` for existing rows that match the legacy
`group_name`/`name`-prefix pattern, so users running the migration
don't lose their schedules.
- `database.create_automation` and `database.update_automation` accept
`owned_by` (the latter via its `allowed` kwarg set).
- `core/automation/api.py` forwards `owned_by` on both POST and PUT.
Missing field is left as None, preserving today's behavior for every
caller that doesn't opt in.
- The Auto-Sync schedule board posts `owned_by: 'auto_sync'` and the
detection helper now prefers that signal, falling back to the legacy
name/group convention so any hand-rolled rows still show up.
Tests: three new cases in `tests/automation/test_automation_api.py`
covering create-with-owned-by, create-without (defaults to None), and
update set/clear. The fake DB grew the matching kwarg.
`tests/automation/test_automation_api.py` gains three update_automation
tests covering the schedule-shape reset:
- trigger_config change blanks next_run
- trigger_type change blanks next_run
- non-trigger field (name) leaves next_run alone
`tests/sync/test_sync_candidate_pool.py` is new — nine tests for the
lazy artist track pool in PlaylistSyncService:
- candidate_pool=None disables pooling and skips the DB call
- first lookup for an artist fetches and caches
- second lookup for the same artist reuses the cache (zero DB calls)
- empty result still cached so the next call short-circuits without SQL
- defensive None return coerced to []
- search_tracks exception returns None and does NOT poison the cache
- pool key is normalized so casing variants share a single fetch
- different artists get separate pool entries
- server_source plumbing survives the trip to search_tracks
All assertions go through fakes / MagicMock — no real DB, no
web_server.py import, no AST-parsing.
Expose playlist-native run and status endpoints that reuse the shared mirrored playlist pipeline engine while routing progress into playlist UI state.
Add a Run Pipeline action to mirrored playlist cards and modals with live status polling, and make the shared pipeline lock atomic for manual and scheduled callers.
Centralize mirrored playlist source reference normalization so edited links and IDs are stored consistently. Preserve URL-backed refresh refs, surface missing-source refresh failures, count background sync failures in pipeline summaries, and retry guarded automation skips after a short delay instead of losing a scheduled run. Add focused coverage for source refs, mirrored playlist source updates, refresh failures, and guarded retry behavior.
Reproduced: selecting Fresh Tape (or any kind never generated before)
and running the pipeline silently skipped — UI showed
"No tracks in Fresh Tape — skipping sync" with no clue why.
Root cause: ensure_playlist auto-creates the playlist row on first
access with `track_count=0` and `last_generated_at=NULL`, but
`is_stale=0` by default (the column default — fresh rows aren't
"stale", they're "never generated"). Pipeline only refreshed when
`is_stale=True` OR `refresh_first=True`, so first-run rows fell
through both branches → read the empty snapshot → skip.
Fix: pipeline now also refreshes when `existing.last_generated_at is
None`. Same control flow, one extra condition:
if refresh_first OR is_stale OR last_generated_at is None:
refresh
else:
read existing snapshot
This is the right signal: "has the generator ever run for this row"
is exactly what `last_generated_at` tracks (the column is set in
`_persist_snapshot` after every successful refresh).
Stubs in test_handlers_personalized_pipeline.py updated to expose
`last_generated_at` on their SimpleNamespace returns so the new
attribute read doesn't AttributeError. Fresh stubs get a non-None
timestamp so they're treated as already-generated; the new test
`test_never_generated_snapshot_triggers_first_refresh` pins the
first-run-forces-refresh behavior with `last_generated_at=None`.
Snapshots now track when their source data changes. Watchlist scan
emits stale flags on the playlists whose underlying pool just got
refreshed; the next pipeline run sees the flag and regenerates the
snapshot before syncing, so the server playlist never lags the source.
Schema:
- new `is_stale INTEGER NOT NULL DEFAULT 0` column on
`personalized_playlists`, plus an idempotent ADD COLUMN migration
in `ensure_personalized_schema` for installs created before this PR.
- `PlaylistRecord.is_stale: bool = False` exposed on the dataclass so
callers can branch on freshness without re-querying.
Manager:
- new `mark_kinds_stale(kinds, profile_id=None)` flips the flag in
bulk for a list of kinds (used by upstream data refreshers).
- `_persist_snapshot` clears `is_stale = 0` on successful refresh.
- SELECT statements + `_row_to_record` updated to read the column
(with tuple-form length guard for safety).
Pipeline:
- `_build_payloads_for_kinds` now branches: refresh_first=True OR
`existing.is_stale` -> refresh_playlist, else read existing
snapshot. So the auto-refresh kicks in without needing the user to
toggle the refresh-each-run option.
Watchlist scanner emits stale flags at three sites:
- after `update_discovery_pool_timestamp` -> marks pool-fed kinds
stale: hidden_gems, discovery_shuffle, popular_picks, time_machine,
genre_playlist, daily_mix.
- after release_radar `save_curated_playlist` -> marks `fresh_tape`.
- after discovery_weekly `save_curated_playlist` -> marks `archives`.
All three calls go through a module-level `_mark_personalized_kinds_stale`
helper that builds a PersonalizedPlaylistManager with `deps=None` (only
DB access is needed for the flag update — no generator dispatch). Each
call is wrapped in try/except so a flag failure can never abort the
scan itself.
Tests:
- new `TestStaleFlag` class in `test_personalized_manager.py` (6
tests): default-false, single-kind flip, multi-kind, profile
scoping, refresh-clears, empty-list noop.
- two new pipeline tests pin the auto-refresh dispatch:
`test_stale_snapshot_auto_refreshes_even_without_refresh_first`
and `test_non_stale_snapshot_skips_refresh`.
- existing stub-manager `SimpleNamespace` returns gained
`is_stale=False` so the new attribute read doesn't AttributeError.
Full suite: 3391 pass.
User-facing WHATS_NEW entry added under 2.5.2 (above the prior
pipeline auto-sync entry) describing the auto-refresh behavior.
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.
Follow-up to the personalized-playlists standardization PR. New
`personalized_pipeline` automation action syncs selected discover-
page playlists (Hidden Gems / Discovery Shuffle / Time Machine /
Genre / Daily Mix / Fresh Tape / The Archives / Seasonal Mix) to
the active media server + queues missing tracks for download.
Same pattern as the existing mirrored `playlist_pipeline` but two
phases instead of four — no REFRESH (no external source to re-pull)
and no DISCOVER (manager-backed snapshots are already metadata-
matched). Pipeline shape:
SNAPSHOT → SYNC → WISHLIST
Where SNAPSHOT either reads the persisted track list from
`PersonalizedPlaylistManager` (default) or refreshes it first when
`refresh_first=true` (cron use case: regenerate Hidden Gems nightly
and sync the fresh set).
Shared helper extraction:
PHASE 3 (SYNC loop) + PHASE 4 (WISHLIST tail) lifted out of mirrored
`playlist_pipeline` into `core/automation/handlers/_pipeline_shared.py`
as `run_sync_and_wishlist(deps, automation_id, playlists, sync_one_fn,
sync_id_for_fn, ...)`. Both pipelines call it. Mirrored injects
`auto_sync_playlist` as the per-playlist sync function; personalized
injects a thin wrapper that launches `_run_sync_task` directly with
a pre-built tracks_json. Same sync-state polling / progress emission
/ status counting / wishlist trigger logic — 0 duplication.
Files added:
- core/automation/handlers/_pipeline_shared.py
- core/automation/handlers/personalized_pipeline.py
- tests/automation/test_handlers_personalized_pipeline.py
Files changed:
- core/automation/handlers/playlist_pipeline.py: PHASE 3+4 replaced
with shared helper call (~100 lines deleted, 1 helper invocation
added; behavior identical).
- core/automation/deps.py: new `build_personalized_manager` field
(lazy builder so the pipeline gets a fresh PersonalizedPlaylistManager
per run).
- core/automation/handlers/__init__.py + registration.py: register
`personalized_pipeline` action with the shared `pipeline_running`
guard so it can't overlap mirrored.
- core/automation/blocks.py: new `personalized_pipeline` block
declaration with config_fields (kinds multi-select, refresh_first,
skip_wishlist).
- web_server.py: thread `_build_personalized_manager` into
AutomationDeps construction.
- All 5 automation test fixtures: `_build_deps` adds
`build_personalized_manager=lambda: None` stub.
- tests/automation/test_handler_registration.py:
EXPECTED_ACTION_NAMES + EXPECTED_GUARDED_ACTIONS gain
`personalized_pipeline`.
Trigger schema:
{
"_automation_id": "...",
"kinds": [
{"kind": "hidden_gems"},
{"kind": "time_machine", "variant": "1980s"},
{"kind": "seasonal_mix", "variant": "halloween"}
],
"refresh_first": false,
"skip_wishlist": false
}
Tests (14 new, 178 automation total):
- _track_to_sync_shape: basic shape, source ID fallback chain,
no-id returns empty string
- empty config / non-list kinds / empty kinds list all return
error + clear pipeline_running flag
- _build_payloads_for_kinds: skips invalid entries, skips kinds
with no tracks, refresh_first vs ensure dispatch, payload shape
+ sync_id format, manager exception swallowed continues
- _sync_personalized_playlist: launches background thread + returns
status='started'
- happy path: stubbed sync_states drives helper to completion, flag
cleaned up
Full suite: 3383 passed.
Note: the trigger UI block declares config_fields but the frontend
doesn't yet render the `personalized_playlist_select` multi-select
type — usable today via API; polished UI ships in a follow-up
frontend PR.
Per-handler boundary tests pin each handler's body in isolation.
Adding engine-boundary tests that pin the REGISTRATION layer:
- every expected action name registered, no drops, no extras
- guarded actions register a guard, unguarded ones don't
- every registered handler is callable
- every guard returns a bool
- all four progress callbacks registered in the right slots
- progress_init / progress_finish / record_history / on_library_scan_completed
are invocable through the engine's stored callable shape (not just
the bare extracted function)
- finish callback respects _manages_own_progress flag at the engine
boundary too
- library_scan_completed wiring registers a callback on the scan
manager and that callback fires engine.emit when invoked
- every handler returns a `{'status': ...}` dict on a minimal config
trigger -- proves no handler raises into the engine, even when its
guard / short-circuit / error path is the one taken
Uses a minimal _RecordingEngine that captures registrations + a
_RecordingScanMgr that captures completion callbacks. No real
AutomationEngine, no real Flask app, no real DB. The kettui standard
for refactor PRs: don't ship "behavior preserved" claim that's only
validated at the function boundary -- exercise the engine seam too.
EXPECTED_ACTION_NAMES + EXPECTED_GUARDED_ACTIONS frozen sets at the
top: any future drift (rename / drop / add a handler / change which
ones are guarded) fails this test immediately so refactor PRs can't
quietly mutate the registration shape.
13 new tests, 164 automation tests pass total.
Cleans up the four remaining inline callbacks at the bottom of
`web_server._register_automation_handlers` so the function is now
purely deps-construction + register_all + a logger.info line.
Lifted:
- `_progress_init`, `_progress_finish`, `_record_automation_history`,
and `_on_library_scan_completed` -> core/automation/handlers/progress_callbacks.py
Each is a top-level function that takes deps as a parameter; the
engine sees thin lambdas through `register_progress_callbacks` /
`register_library_scan_completed_emitter` (called from `register_all`).
Two new deps fields:
- `init_automation_progress` (delegates into the live progress tracker)
- `record_progress_history` (delegates into _auto_progress.record_history)
12 new boundary tests in tests/automation/test_progress_callbacks.py
pin every shape:
- progress_init forwards to init_automation_progress
- progress_finish skips when handler manages its own progress
(prevents double-emit of finished status)
- progress_finish: completed -> finished/Complete/success;
error -> error/Error/error; msg falls through error -> reason ->
status -> 'done'
- record_history threads the live db into the recorder
- on_library_scan_completed: no engine = noop, server type taken
from web_scan_manager._current_server_type, defaults to 'unknown'
- register_library_scan_completed_emitter: no scan manager = noop,
registered callback emits the right event when invoked
3256 tests pass, no regression.
Final state of `_register_automation_handlers`:
- Was: 1530 lines, 21 nested closures + 4 progress callbacks
- Now: ~50 lines, builds AutomationDeps and calls register_all
web_server.py: 34,220 -> 34,187 lines (-33 net, -1,406 across the
whole branch).
Final commit of the automation-handler refactor. With this commit
every closure that used to live in
`web_server._register_automation_handlers` is now a top-level
function in `core/automation/handlers/`.
Handlers extracted in this commit:
- start_database_update + deep_scan_library
-> core/automation/handlers/database_update.py
Both share the db_update_state monitoring pattern (poll until
status flips, stall detection emits warning at 10 min, 2-hour
outer timeout). Lifted into a shared `_run_with_progress` helper
inside the module so the per-handler bodies stay tiny.
- run_duplicate_cleaner -> core/automation/handlers/duplicate_cleaner.py
- start_quality_scan -> core/automation/handlers/quality_scanner.py
- clear_quarantine, cleanup_wishlist, update_discovery_pool,
backup_database, refresh_beatport_cache
-> core/automation/handlers/maintenance.py
Grouped because each body is short (~20-50 lines) and they share
no state — splitting into per-handler files would just add import
noise.
- clean_search_history, clean_completed_downloads, full_cleanup
-> core/automation/handlers/download_cleanup.py
Grouped because all three reach the download orchestrator,
tasks_lock, and download_batches/download_tasks accessors. The
full_cleanup multi-step orchestration shares phase-detection
logic with clean_completed_downloads.
- run_script -> core/automation/handlers/run_script.py
- search_and_download -> core/automation/handlers/search_and_download.py
`AutomationDeps` grew with the new dependency surface:
- get_db_update_state + db_update_lock + db_update_executor +
run_db_update_task + run_deep_scan_task
- get_duplicate_cleaner_state + duplicate_cleaner_lock +
duplicate_cleaner_executor + run_duplicate_cleaner
- get_quality_scanner_state + quality_scanner_lock +
quality_scanner_executor + run_quality_scanner
- download_orchestrator + run_async + tasks_lock +
get_download_batches + get_download_tasks +
sweep_empty_download_directories + get_staging_path
- docker_resolve_path + get_current_profile_id +
get_watchlist_scanner + get_app + get_beatport_data_cache
- set_db_update_automation_id (writes the legacy global so the live
DB-update progress callbacks still living in web_server.py keep
emitting against the active automation card)
`web_server._register_automation_handlers` is now ~50 lines: build
deps once, call register_all. The 667-line block of remaining
closure definitions and engine register calls is gone.
The final orphan was the `_db_update_automation_id` module global —
the DB-update progress callbacks at line ~14080 still read it
directly, so the extracted database_update handler propagates the
automation id through `deps.set_db_update_automation_id` (a closure
in web_server that writes the global). When the legacy callbacks
get extracted in a future PR the setter goes away.
Tests:
- tests/automation/test_handlers_maintenance.py adds 21 boundary
tests covering every newly-extracted handler shape: guard
short-circuits (already-running returns skipped), deps wiring
(set_db_update_automation_id called with the right id),
exception swallow contract, status returns, path-traversal
blocked in run_script, source-mode skip in clean_search_history,
active-batch skip in clean_completed_downloads, etc.
- 3244 tests pass (was 3223 — 21 new), no regression.
web_server.py: 35,593 -> 34,220 lines (-1,373 net across 3 commits).
Issue #1 from the extraction punch list is now COMPLETE.
Continues the lift from `web_server._register_automation_handlers`.
This commit extracts the four playlist-lifecycle closures:
- `refresh_mirrored` -> core/automation/handlers/refresh_mirrored.py
- `sync_playlist` -> core/automation/handlers/sync_playlist.py
- `discover_playlist` -> core/automation/handlers/discover_playlist.py
- `playlist_pipeline` -> core/automation/handlers/playlist_pipeline.py
The pipeline composes refresh + sync + discover, so all four ship
together. The pipeline imports the other three handler modules
directly (cross-handler call) instead of going through the engine,
preserving the "single trigger from the user's perspective" UX.
`AutomationDeps` grew to cover the new dependency surface:
- run_playlist_discovery_worker, run_sync_task, load_sync_status_file
(pre-existing background-task entry points)
- get_deezer_client, parse_youtube_playlist (per-source clients)
- get_sync_states (live mutable accessor for the sync UI's state dict)
`web_server._register_automation_handlers` now wires those plus the
existing infrastructure into a single `AutomationDeps` and calls
`register_all`. The 669-line block of closure definitions and engine
register calls (lines 959-1627 pre-edit) is gone -- the file shed
743 lines net on this commit.
`tests/automation/test_handlers_playlist.py` adds 17 new boundary
tests:
- discover_playlist: no_id error, specific_id starts worker, all=True
enumerates, no playlists in db
- refresh_mirrored: error path, source filter (file/beatport excluded),
Spotify happy path with auto-discovered marker, per-playlist
exception captured into errors counter
- sync_playlist: no_id, not_found, no_tracks, no-discovered-tracks
skip, discovered-track happy path, unchanged-since-last-sync skip
- playlist_pipeline: no_playlist clears running flag, no-refreshable
clears running flag, exception clears running flag
3223 tests pass. web_server.py: 35,593 -> 34,850 lines (743 removed).
Begins the lift of `web_server._register_automation_handlers` (1530
lines, 20 nested closures) into `core/automation/handlers/`. Each
extracted handler is a top-level function that accepts
`(config, deps)` instead of reaching for module-level globals --
makes them unit-testable in isolation.
Infrastructure:
- `core/automation/deps.py`: `AutomationDeps` (dependency-injection
bundle of clients + callables) and `AutomationState` (mutable flags
shared across handler invocations, with thread-safe accessors).
- `core/automation/handlers/__init__.py` + `registration.py`: one-stop
`register_all(deps)` that wires every extracted handler to the
engine.
First batch of handlers extracted:
- `process_wishlist` -> `core/automation/handlers/process_wishlist.py`
- `scan_watchlist` -> `core/automation/handlers/scan_watchlist.py`
- `scan_library` -> `core/automation/handlers/scan_library.py`
`web_server._register_automation_handlers` now builds the deps once
and calls `register_all(deps)` for the extracted batch. Remaining
17 closures still live below; subsequent commits in this branch
finish the lift.
14 boundary tests in `tests/automation/test_handlers_simple.py` pin
every shape: success path, exception swallow contract, fresh-vs-stale
state detection (scan_watchlist's id() trick), guard short-circuits,
state cleanup on exceptions, AutomationState concurrent-safe accessors.
All 101 automation tests pass; no regression.
The "Clean Search History" automation card kept showing a stale
'DownloadOrchestrator' object has no attribute 'base_url' error
even after the underlying handler bug was fixed in 77d20e9. Root
cause is in the engine, not that handler: AutomationEngine only
captured uncaught exceptions into last_error. Handlers that
report failure by RETURNING {'status': 'error', ...} were treated
as successful from the engine's perspective, so subsequent
gracefully-failing runs never updated the row to reflect the
current state.
Both the timer (run_automation) and event (_handle_event_trigger)
paths now extract the error string from a result whose status is
'error', falling through 'error' -> 'reason' -> 'message' -> a
placeholder so last_error is never None on actual failures
regardless of which key the handler chose. Existing behaviour for
raised exceptions and successful runs is preserved.
Also normalizes _auto_clean_search_history's return key from
'reason' to 'error' so older deployed engines that only check
the canonical key still see the failure.
Adds 7 regression tests covering every result shape the engine
might receive.
The endpoint was returning a 200-line literal dict inline. Moved the
three lists (TRIGGERS, ACTIONS, NOTIFICATIONS) to module-level constants
in core/automation/blocks.py. Route shrinks to 7 lines. Data is now
importable for tests + future docs.
Added 8 shape tests so a typo in the dict (missing 'type', wrong
field type, missing options on a select, etc.) gets caught by CI
instead of breaking the builder UI silently.
The `known_signals` field stays computed at request time via
_collect_known_signals(database) since it's dynamic.
No behavior change. Same response shape. 869 tests passing (was 861).
Ruff clean.
Routes moved to thin parse-args/jsonify handlers; logic now lives in
three focused modules under core/automation/. 436 lines deleted from
web_server.py; 53 added back as wrappers.
Module split:
- core/automation/api.py — CRUD + run + history helpers. Each function
takes (database, automation_engine, ...) explicitly and returns
(response_body, http_status). Includes signal cycle detection
preflight checks for create + update.
- core/automation/progress.py — owns the in-memory progress state dict
+ lock (mirroring the original web_server.py globals as module-level
shared state so all callers see one view), init/update/history
helpers, and the WebSocket emit loop.
- core/automation/signals.py — collect_known_signals for the builder
autocomplete.
Out of scope (deferred):
- _register_automation_handlers — the 23+ action handler closures stay
in web_server.py because each one is tightly coupled to feature-
specific implementations (wishlist, watchlist, library scan, etc.).
- Worker functions (_process_wishlist_automatically, etc.) — belong
with their feature lifts.
- _run_sync_task / _run_playlist_discovery_worker — sync + discovery
PRs.
Behavior preserved 1:1:
- Same route response shapes + status codes
- Same JSON field hydration (trigger_config, action_config,
notify_config, last_result, then_actions)
- Same backward-compat: empty then_actions + notify_type set →
synthesize then_actions from notify_type/notify_config
- Same signal cycle detection behavior on create + update
- Same system-automation protection on delete + duplicate
- Same reschedule/cancel logic on toggle + bulk-toggle + update
- Same progress state shape (status, progress, phase, current_item,
log capped at 50, started_at/finished_at, action_type)
- Same emit-on-finish socketio push from update_progress
- Same emit loop semantics (1s tick, snapshot active states, reap
finished after window)
Pre-existing bugs preserved (will fix in follow-up PRs):
- emit_progress_loop uses naive datetime.now() against tz-aware
started_at/finished_at, so the timeout-zombie check raises
TypeError → caught → never fires, and the cleanup-after-window
check raises → caught → state is reaped on FIRST tick regardless
of the window. Tests document this behavior so the next PR can
flip them to the corrected expectation.
Tests: 72 new under tests/automation/ (signals 10, progress 24,
api 38). Full suite: 861 passing (was 789). Ruff clean.
