* db: request-path library functions use the request's connection
Library functions an API request reaches now take the request's Session (first argument) instead of
opening their own session or cursor, so a request needs one SQLite connection. Raw SQL runs through the
new `wrolpi.db.session_curs(session)`, a cursor on the Session's connection; `RequestDB.curs()` uses it.
- Search: files, videos, archives, flasher, and docs search share the request connection for the total,
the page of ids, and the page's models (3 connections -> 1).
- Zim search, including tag-filtered search and estimates (2 -> 1).
- Channel detail (`Channel.get_statistics` reads on the Channel's own Session) and the channel list.
- Video detail, edit, description, captions, comments and transcode. `get_video_for_app` and
`update_video` no longer commit; their handlers use `request.ctx.db.write()`, so editing a Video and
reading it back is one transaction.
- Tags (list, overlaps, recent), file statistics and estimates, other estimates, bulk tag preview, the
download list, retry, kill and the status summary, and docs/videos/archive statistics.
Not converted: file operations that refresh files inside the request (delete, rename, upload, channel
and collection tag/move) commit page by page in code shared with the file worker; the cached zim entry
lookup; config import.
The connection-count tests now assert one connection for every endpoint they cover (no xfails left), and
cover the videos and archive statistics endpoints, which had no API test.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* downloads: startup retries in a write session of its own
start_single_tasks still called retry_downloads() without a Session after it began requiring one, so any
start after a completed refresh raised TypeError there: incomplete downloads were not reset and the
download_on_startup enable after it never ran. Startup is not a request, so
DownloadManager.retry_downloads_on_startup() opens and commits its own short write transaction.
Tested through the method, not start_single_tasks: importing main registers its startup listeners on the
shared app, and every later test in that worker then runs them.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* docs: browse walks the file_group date index instead of probing every doc
The unfiltered /api/docs/search drove its join from `doc`, so SQLite probed
every doc's file_group row for the sort key before returning the first page.
With 20k docs scattered through a 10 GB database on a spinning disk, the first
request took about a minute cold (0.07s warm).
Use the same CROSS JOIN shape as the archive browse: file_group is the outer
table, SQLite walks file_group_published_datetime_idx and probes doc's covering
unique index on file_group_id. Both sides stay index-only and the scan stops at
the page limit. Measured cold: ~60s -> 0.6s, identical rows.
Filtered searches and the size/title orderings keep the ORM query.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
* docs: trim browse comments, stabler plan assertion
Review feedback: drop the benchmark narrative from docstrings, state only the
non-obvious constraint at the call site, and assert the doc covering-index probe
by shape rather than by autoindex name.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
The file_group.textsearch tsvector indexes all four text columns;
d_text (captions, document text, zip contents) is ~90% of the data,
making ts_rank searches take seconds on large libraries. Add a
textsearch_abc generated column (title/author/description only, ~8x
smaller) and default all searches to it, with deep=true opting into the
full column.
Database:
- Migration adds the generated column and a GIN index (rewrites the
table; a few minutes on large libraries).
Backend:
- FilesSearchRequest, VideoSearchRequest, ArchiveSearchRequest, and
DocSearchRequest accept `deep`; each search function picks the column.
- /api/search_file_estimates returns both counts in one index-bound
query (COUNT FILTER on the abc subset): `file_groups` (fast) and
`file_groups_deep`.
UI (one coherent story across the count surfaces):
- The typing dropdown always suggests the deep count (what is findable).
- The tab badge shows the active mode's count so it matches the result
list.
- The gap is reconciled by a hint offering deep search: count-aware on
the global search ("No results in fast search. N results available in
deep search." / "N more results available..."), generic on the module
pages (no deep estimate there). The hint resets pagination.
- "Search Depth" toggle in the search filter modals, persisted as
?deep=true.
Tests that relied on d_text matches now pass deep=True, with fast-mode
assertions alongside. Also skip flaky test_download_channel on
CircleCI.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Create a new Docs module that consolidates PDF and eBook handling into a
unified system with subjects and authors support. This replaces the
separate PDF/eBook modelers with a single Doc model backed by an
alembic migration (rename ebook to doc).
Key changes:
- New modules/docs package with models, API, extractors, and lib
- Subject and author metadata extraction with case-insensitive
normalization for cleaner PDF metadata
- Frontend Docs pages with AuthorsPage, SubjectsPage using
CollectionTable, and doc card deletion
- Global search integration for subjects and authors
- Generic collection item count support
- Frontend file card metadata adjusted to match collection sort
- Bump yt-dlp version
