Research mode switches to nine kind-generic tools: search_files,
get_file, read_content, search_zims, get_zim_entry, get_inventory,
list_files, read_file, search_places. Tool definitions drop from 20
tools / 8,947 chars (~2,240 tokens) to 9 / 3,881 (~970) on every
request, a sixth of the 8k context the small tier runs with instead of
a quarter. The remaining descriptions are trimmed toward 300 chars.
The replaced per-kind endpoints are removed (four searches, three
getters, three readers, search_suggestions, the slug inventory route);
their tests move onto the generic routes. The research prompt, its
worked example, and the empty-search hint no longer tell the model to
list collections first: channels resolve by name from the library map
that is already in the prompt. list_collections, list_tags, and
get_map_overview stay as endpoints for the MCP wrappers but leave the
chat allowlist; the MCP search_suggestions tool goes since search_files
returns the same matches inline.
scripts/ai_eval.py expects search_files and treats "what channels do I
have" as answerable from context. On the 1.7B model against the dev
library both catalogs score 14/18, but the compact one answers with one
tool call where the old one needed up to five, no longer invents the
example's channel, and keeps kinds straight when asked for videos.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
* Fix API stalls: non-blocking switch worker, threaded searches, indexed Videos page
Three response-time fixes found by benchmarking the read-only API endpoints
hot and cold on real libraries:
* `switch_worker` runs on the Sanic worker's event loop every 0.1s and called
the blocking `multiprocessing.Event.wait(timeout=1)`. With no switch pending
(the normal state) this froze the loop for a second at a time; about a third
of all requests, including trivial ones, took ~1,000 ms. It now polls
`is_set()` and returns immediately.
* The search handlers (videos, files, archives, docs, zims) and `/api/statistics`
ran synchronous SQLite queries on the event loop, so one slow search stalled
every other request on that worker. They now run via `asyncio.to_thread`.
* The unfiltered Videos page (`POST /api/videos/search` with only an order)
used `mimetype LIKE 'video/%' OR ...` plus `COUNT(*) OVER()`, which visits
every video's index entry before LIMIT applies: seconds cold on a large
library on a spinning disk, and ~10 s hot for a deep page. It now seeks each
exact mimetype on the (mimetype, effective_datetime) index for `limit + offset`
rows and merges them, with the total from a separate count cached for 60 s.
Results are identical to the generic query.
Also adds `scripts/api_perf.py` (times every read-only endpoint against a host,
optionally restarting the API over SSH for cold numbers) and
`scripts/api_perf_compare.py` (merges per-host results). Host profiles live in a
gitignored JSON file; an example is included.
Measured on an 8-core docker host with a 10 GB library: median hot request
1,007 ms -> 22 ms; Videos page 1 hot 287 -> 108 ms, page 50 1,345 -> 120 ms.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* Serve the video description from its own endpoint instead of Video.__json__
`Video.__json__` computed `description` as `c_text or get_video_description()`,
where the fallback opens and parses the video's info json from disk. The list
endpoints serialize every result with `__json__`, so any page containing videos
without an indexed description (common: many videos have none) read their info
json files on every request, cold, for a field the list never displays. The
description is not part of search either: search runs against the FTS copy of
`c_text`, so the fallback never fed the index.
Drop `description` from `__json__` and serve it from
`GET /api/videos/<id>/description`, like comments and captions. The endpoint
returns the indexed `c_text`, falling back to the info json only there, for a
row indexed before descriptions were stored. The player page fetches it through
`useVideoExtras` alongside the comments.
Tests assert the list and detail responses never touch the info json, and cover
the endpoint's indexed, fallback, and not-found cases.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* Address review: thread-local zim sessions, fast-path equivalence test, comments
* Zim search, single-zim search, and search estimates run libzim off the event
loop, each opening its own session inside the worker thread rather than
passing the request's SQLAlchemy Session across threads.
* The Videos fast-path test now runs the same requests through the generic
query and asserts identical rows and paging for both date orders. The one
intentional difference is documented: past the end, the fast path still
reports the true total.
* switch_worker returns before its try block so the empty path does not clear
the event; its comment states the invariant only. The copied "synchronous
SQLite" comments are reduced to one line in one place.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
