* 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>
---------
Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
COUNT(*) OVER() forced SQLite to visit every matching file_group
before LIMIT, which is a full table scan of the (large) file_group
table — ~22s cold on a Pi for videos ordered by download date.
Count separately and cache for 60s by filters so indexed orders can
stop after one page. Past-the-end pages now report the true total.
Videos/archives/docs pagers keep totalPages across page changes.
The database now lives at <media>/config/wrolpi.db so a library (files,
configs, AND database) travels with the drive between WROLPi systems.
Core:
- wrolpi/db.py: lazy SQLite engine factory (WAL, busy_timeout=30s,
foreign_keys=ON); get_db_curs yields a plain sqlite3.Cursor; native
sqlite3 paramstyle everywhere (no compatibility shims); global sqlite3
adapters keep raw-SQL datetime formats identical to the ORM's.
- wrolpi/fts.py: FTS5 external-content search replacing tsvector/GIN.
Injection-proof websearch->FTS5 translator, bm25(10,4,2,1) reproducing
A/B/C/D weighting, fast(abc)/deep column filtering, snippet headlines.
Stemming contract pinned by dedicated tests (watch/watches/watched/
watching are interchangeable).
- wrolpi/schema_ddl.py: SQLite triggers shared verbatim by the alembic
baseline and test DBs; fixes the channel video_count DELETE/UPDATE
bugs and a latent total_size bug (it used the video id as channel id).
- wrolpi/db_bootstrap.py: startup auto-create/migrate; refuses databases
written by a newer WROLPi (db_version_mismatch); SQLite 3.40 floor;
network-filesystem refusal; never creates/migrates/trusts a database
beneath an unmounted production media directory (shadow-DB guard).
- Alembic: 85 Postgres-era migrations squashed into one baseline;
revision ids are dates (2026_07_10_1350) so filenames self-sort and
alembic_version says when a schema was created; render_as_batch=True.
- All raw Postgres SQL rewritten (ANY->json_each IN, array_agg @> ->
HAVING COUNT(DISTINCT), unnest->executemany/UPDATE..FROM,
generate_series histograms->strftime GROUP BY, DISTINCT ON->
row_number(), writable CTEs->two statements, jsonb_*->json_*, explicit
NULLS FIRST/LAST, LIMIT-before-OFFSET). Simple statements converted
to SQLAlchemy instead (flag upsert, download retry/summary/tag checks,
channel-by-tag estimate, Directory delete).
- Config imports count skipped entries; background dumps are blocked
after a lossy import so partial imports can never overwrite YAML
configs (they are the sole source of truth for rebuilds now).
- Search tolerates explicit JSON nulls for limit/offset (Postgres
treated OFFSET NULL as 0; SQLite errors).
- file_group.id/doc_section.id render as INTEGER PRIMARY KEY on SQLite
(BIGINT is not a rowid alias; FTS5 content_rowid requires it).
Ops teardown: docker-compose db service, CI postgres sidecars,
initialize_api_db.sh, controller postgresql service, psycopg2-binary all
removed. upgrade.sh stops/disables postgresql (data is NOT deleted;
`systemctl enable --now postgresql` restores it); systemd units no
longer Want postgresql.service.
Existing-user upgrade: first boot creates+migrates the DB, configs
import (tags recreate their FileGroups from disk), a refresh rebuilds
the library index. QA'd on the 10.0.0.8 RPi: rebuild matched the
Postgres baseline exactly; survived an uncontrolled hard reboot with
clean integrity checks.
Accepted behavior changes: FTS5 has no stopwords; bm25 length
normalization shifts some rank orders; fast-path d_headline is
un-highlighted; all-negative queries match nothing.
Deferred: Debian/trixie package lists (incl. sqlite3 CLI), Cypress
re-baseline, VACUUM INTO snapshots, exFAT/NTFS warning, auto-kicked
rebuild refresh with progress UX.
Co-Authored-By: Claude Fable 5 <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
