SQLAlchemy 1.3 has been end-of-life since 2021, and alembic was held at 1.10
because newer releases need SQLAlchemy 2. This is a mechanical port; the code
stays synchronous.
- SQLAlchemy[asyncio]==2.0.54, alembic==1.20.0.
- Model annotations use Mapped[...] (2.0 rejects bare annotations on mapped
attributes); declarative_base moves to sqlalchemy.orm.
- Plain SQL strings go through text() or exec_driver_sql; schema_ddl.execute_sql
accepts a SQLAlchemy Connection or a raw sqlite3 connection, so rebuild_fts
works from the baseline migration again.
- Session.get replaces Query.get; session.in_transaction() replaces
session.transaction; cache_ok on MediaPathType and FancyJSON.
- The tag-directory sync query joins through TagFile's relationships instead of
the legacy two-entity outerjoin.
- Section-hint rows use attribute access (2.0 rows are tuples).
- Migrations run on an AUTOCOMMIT connection, matching 1.3, where each
statement committed on its own. 2.0 autobegins, so the unique-stem
migration's read snapshot could not become a writer after its helpers wrote
on another connection ("database is locked"). The begin listener emits no
BEGIN for AUTOCOMMIT connections.
- Newer alembic compares column types: WrolpiKV now describes the TEXT table
its migration created.
- The test database installs its DDL inside engine.begin(); 2.0 connections
no longer autocommit, so the FTS tables were rolled back.
- Dependabot now holds SQLAlchemy at 2.0 instead of 1.3.
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Opening a doc on its page never set FileGroup.viewed, so docs were missing
from Recently Viewed. GET /api/docs/:id now marks the doc viewed, with the
same skip_viewed parameter as archives and videos.
The file preview marked a file viewed more than once: opening from a
?preview= URL sent two tracked requests, and every tag change re-fetched the
file with tracking on. The fetches now skip tracking, and the preview marks
each opening viewed once.
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* db: serializers read only loaded data
Serializing a model must not query. A lazy load there is a hidden query per row (search serialized 24 rows
with 55 statements), and would be a `MissingGreenlet` error under an async Session.
- `wrolpi.db.no_db_access(reason)` and `@serializer` (on every model `__json__`, and around `json_response`):
an engine `before_cursor_execute` listener raises `UnexpectedQuery` during tests, and in production logs once
per serializer and lets the query run. Tests record each trip as well, and the autouse
`no_unexpected_queries` fixture fails a test even when the code caught the error (Video's serializer was
swallowing its per-row loads of the deferred `ffprobe_json`).
- Relationships serializers read load with their parent: `selectin` for FileGroup.tag_files and
Collection.downloads; `joined` for TagFile.tag, Collection.tag, Channel.collection, Video.channel,
Archive.collection, ZimSubscription.download, CollectionItem.zim, and the file_group of Video, Archive, Doc,
Zim and CollectionItem.
- Search and the Video lookups the video page uses load the deferred `ffprobe_json` (`undefer`).
- `wrolpi/test/test_serializers.py`: every serialized model, freshly loaded, serializes without SQL.
Search: 55 -> 5 statements for 24 videos (31 -> 5 for archives), and a few ms faster locally.
Not in this change: guarding the `dict()` serializers and `expire_on_commit=False`, which go together (about 50
serialize-after-commit sites, and 40 tests that read values changed elsewhere after a commit).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* db: serializer loads per query; the guard ignores transaction control
The query guard reported the engine's own BEGIN (emitted through the same event as the first statement on a
Session with no open transaction) instead of the lazy load after it, and in production that BEGIN used up the
one warning per serializer. Transaction-control statements are now ignored.
Mapper-level eager loads reached background code: every Video/Archive load in the modelers (one per file,
inside the write transaction) joined file_group/channel/collection/tag and selectin-loaded the Collection's
Download rows with their yt-dlp info_json. A second refresh of 100 videos took 0.40 s instead of 0.16 s.
Serializer needs are now declared per model (`json_options()`) and added only by the queries whose results
are serialized; Download.info_json is deferred there (no serializer reads it). Mapper defaults keep only
narrow joins nearly every use needs: TagFile.tag, Collection.tag and Channel.collection. A second refresh is
back to master's statement count and time; search still drops from 55 to 3 statements.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* 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>
---------
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>
---------
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
