af974edfe9400a25e7ea5b25a9a403cdeb91dad8
4
Commits
| Author | SHA1 | Message | Date | |
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54507d236a |
fix(watchstate): make series mark-watched atomic and unload-proof (#645)
Marking a large series as watched only marked some episodes when the user
navigated away or closed the tab. POST /watched/{id} expanded a series to
every episode and then did four sequential DB round-trips per episode — a
duration lookup, a progress upsert, a stable-identity resolution (itself an
episode lookup plus a series provider-ID lookup), and a history insert — all
on the request context with no transaction. A 200-episode series was ~800
sequential queries, each committing on its own, so a disconnect mid-loop left
everything already committed in place.
Server:
- episodeTargets now resolves durations through the existing batched
listEpisodeFiles helper instead of one file query per episode. The shared
mediaFileDurationSeconds keeps the batched and single-item paths in step.
- ResolveHistoryIdentities resolves a whole series in one episode query plus
one provider-ID query per distinct series, behind optional-capability
interfaces with per-ID fallbacks.
- New userstore.WatchedBatchWriter capability, implemented transactionally in
both Postgres and SQLite, with a per-target fallback for stores that lack
it. recordMarkWatched and jellycompat's recordMarkWatchedBatch share it.
A cancelled request now rolls back to "nothing marked" rather than stranding
a half-watched series, which is the correct all-or-nothing semantic and needs
no detached context.
Client: the watched mutation sends keepalive so the request survives
navigation and tab close, plus an optimistic played flip with rollback,
following the existing favorites.ts pattern.
Routing jellycompat through the shared path would have clobbered known
durations with 0, since that caller supplies none; the batch upsert only ever
advances a duration, matching what MarkProgressBatch did before.
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
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CoffeeKnyteandGitHub
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a2ef26bece |
perf: root-cause fixes for endpoints still slow after #292 (NextUp, series badges, resume tail, subtitle fonts) (#350)
* docs(plans): root-cause analysis for endpoints still slow after PR #292 Five endpoint groups stayed slow after the home/Continue Watching/Latest latency work shipped: Resume (110s p95), NextUp (17s p95), Latest (17s), /Items, and the home sections routes. The caps and caches from PR #292 are live in the deployed binary; they bounded how many rows the loops touch but not what each underlying query costs. Documents the four confirmed root causes (4.3M stale completed-with-position progress rows + missing resume index, unbounded next-up anchor scan, per-episode series rollup fanout, two index-starved history/scanner paths) with live EXPLAIN ANALYZE measurements and the fix plan implemented by the follow-up commits. AI-use disclosure: analysis and doc produced with AI (Claude) assistance. * perf(catalog): bound the global next-up anchor scan to recent completions The completed_episodes CTE in buildListNextUpQuery derived per-series anchors from the profile's ENTIRE completed history — DISTINCT ON over 233k rows joined to episodes for the worst bulk-import profile, then a per-series LATERAL that scans every episode of a fully-watched series before yielding nothing. 648 slow executions in a 19h window, 44.7s worst; this drove /Shows/NextUp (17.1s p95) and the next-up injection on the native home sections aggregate. Global queries now derive anchors from the profile's nextUpAnchorMaxRows (500) most recent completed rows — an ordered index walk on idx_uwp_profile_completed, with the hidden-items exclusion and date cutoff applied inside the bounded scan so hidden/old rows never consume the anchor budget. A next-up rail surfaces ~24 series; the 500 most recent completions cover every series that can realistically rank on it. Series-scoped calls (the show-detail tile) keep the unbounded shape: they must anchor on the series' last completed episode no matter how long ago it was watched, and are naturally bounded by one series. Measured on the live worst-case profile with the exact generated SQL: 44.7s worst / ~2.6s avg before; 10ms after (together with the one-time stale-resume-point data repair applied directly to the deployment DB — see docs/superpowers/plans/2026-07-06-slow-endpoint-root-causes.md). AI-use disclosure: implemented with AI (Claude) assistance. * perf(jellycompat,userstore): aggregate series watch-state rollup in SQL The series Played/UnplayedItemCount badge on list rails (per-library Latest, library browse, search results) and series detail pages was computed by materializing EVERY episode of every series on the page (episodeRepo.ListBySeriesIDs) and then batching per-episode progress+history lookups in 500-id chunks. A 50-series page of an episode-heavy library (Sports) expanded to 32,467 episode rows and ~65 sequential queries — measured 17-18s per /Items/Latest request, and PR #292's cached Latest fast path pays it on every response for series libraries. The same fanout made /Items?searchTerm=... slow whenever the result set was mostly series (Meilisearch itself answers in milliseconds). New optional store capability userstore.SeriesEpisodeRollupStore, implemented by PostgresUserStore as one GROUP BY e.series_id aggregate with semantics identical to the chunked path (episode availability via episode_libraries, hidden-items visibility on progress rows, completed-history fold, in-progress = not watched with position > 0 — verified value-for-value against the old semantics on a real 1,586-episode series). enrichSeriesListUserData and enrichDetailUserData use it when present; SQLite-backed stores and rollup query failures keep the existing chunked path as fallback. catalog.SeasonUserDataFromCounts pins the counts-to-DTO mapping to EpisodeRollupUserData. Measured on the live worst-case profile against the real 50-series Sports Latest page: ~17s of chunked round-trips before, 119ms in one query after. Part of docs/superpowers/plans/2026-07-06-slow-endpoint-root-causes.md. AI-use disclosure: implemented with AI (Claude) assistance. * perf(catalog): bound superseded-episode completed walk to recent history The Resume / Continue Watching superseded-episode filter loaded a profile's *entire* completed history into memory on every request that contained an in-progress episode: CompletedProgressSnapshots paged user_watch_progress WHERE completed=TRUE with no upper bound. The 2026-07-06 slow-query comparison showed this surviving as a 60-116s Resume tail even after the in-progress index landed live, because the 4.3M zeroed Plex-import rows are still completed=TRUE and were re-walked every load. A completed episode can only supersede an in-progress one it was finished more recently than (the query gates on done_progress.updated_at > ip_progress.updated_at), so only completed rows newer than the oldest in-progress entry can matter. Compute that cutoff in SupersededEpisodeProgressIDs and pass it to CompletedProgressSnapshots, which — since the completed listing is ordered updated_at DESC — stops paging as soon as it crosses the cutoff. Import-heavy profiles whose back-catalogue predates their current in-progress items now stop on the first page instead of paging hundreds of thousands of irrelevant rows. Correctness is unchanged: no relevant superseding row is excluded. * perf(catalog): hard-cap superseded-episode completed walk at 5 pages The updated_at cutoff added in the previous commit bounds the completed walk on the relevance axis, but a very old in-progress entry sitting behind a large volume of newer completions could still page deep. Add a 5-page (2,500-row) hard backstop on top of the cutoff: normal profiles still stop on page one via the cutoff, and only the adversarial tail hits the cap. When it engages the tail of the completed set goes unscanned, so a superseded episode could momentarily survive on Continue Watching — we log a warning when that happens (with profile_id + rows scanned) rather than mis-filter silently, and it self-corrects once the stale in-progress entry ages out of the scanned window. * perf(playback): extract subtitle fonts in a single ffmpeg pass Embedded ASS/SSA font extraction spawned one ffmpeg process per font attachment, each re-opening the (usually CephFS-backed) media file. Anime releases carry 15-47 fonts, so the per-spawn file-open cost dominated and pushed GET /api/v1/stream/{sid}/subtitles/{track}/fonts to a 17-60 s plateau (p95 ~33 s in the live logs). Collapse the N spawns into one ffmpeg invocation that dumps every attachment to a temp dir (-dump_attachment:idx path ... -i file -map 0:t? -c copy), then read the files back. The file is opened once instead of N times, taking p95 from ~30 s to ~1-2 s with no change to output. Safety is preserved. The 32-attachment / 32 MiB caps still apply: attachment size is stat'd before read so an over-limit font never enters memory, and a watchdog polls the dump dir and kills ffmpeg if its on-disk output crosses the cap -- restoring the hard bound the old pipe-per-attachment reader enforced by killing at maxBytes+1, so a container with oversized "font" attachments can't fill the disk. Part of the slow-endpoint follow-up; see slow-query-analysis/subtitle-fonts-extraction-findings.md. * fix(review): report enforced font-byte cap; correct doc subtitle scope Address PR #350 review: - dumpFontAttachments reported the maxSubtitleFontBytes package constant in both over-limit errors instead of the maxBytes argument the caller passed, so the message misstated the enforced bound whenever a different cap was in effect (as the tests use). Interpolate maxBytes in both messages. - The root-cause plan claimed subtitle extraction was 'out of scope' while the branch actually optimizes /subtitles/{track}/fonts. Scope the out-of-scope note to subtitle *track* conversion and record the fonts single-pass work as deliverable 5. |
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87159b0a38 |
feat(collections): add profile-scoped display filters (#191)
* feat(collections): add profile-scoped display filters
* refactor(collections): dedup display-filter helpers per review
Address code-review feedback on the profile-scoped display filters
without changing behavior:
- Widen CompletedHistoryItemMap to accept ProgressCompletionStore and
drop the duplicate completedHistoryItemMapForProgress copy.
- Extract the duplicated MDBList candidate retry loop into a generic
collectionutil.FetchMDBListWithFallback helper, used by both the user
and library collection syncers, and cover it with unit tests.
- Reuse validateOptionalLibraryIDs in HandleUpdateCollection instead of
an inline positive-ID loop.
- Import the shared COLLECTION_{WATCH,MEDIA}_FILTER_OPTIONS in the
template config form rather than redefining them locally.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(collections): sanitize query_definition library_ids fallback
readSourceConfigLibraryIDs validated source_config.library_ids (finite,
positive, truncated, deduplicated) but returned the query_definition
fallback raw, so legacy rows could surface zero/negative/duplicate IDs
that the backend now rejects on save. Extract a shared sanitizer and
apply it to both paths.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* refactor(docs): This makes the agents annoying to work with
* Improve playback session handling
* Support collection source order in catalog filters
* fix(collections): address display filter review feedback
* refactor(catalog): remove duplicate collection query params
* Hide episode media scope for collection overlays
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Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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QuickandGitHub
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cac435c4b9 |
Fix watch-state unwatch sync across user data and Jellyfin mappings (#179)
* Refine playback session handling and API responses * fix(watchstate): harden completed-history visibility |