Thread ownerId and member aliases through the TS and native parsers. Persist aliases across full and incremental imports so exported ChatLab JSON retains user identity metadata.
Stream members and messages in one pass so nested member metadata is parsed structurally. Cover exports whose complete member list exceeds the filtered messages.
Remove persisted annual summary snapshots whenever a session is deleted through shared or desktop cleanup paths. Drop cached in-memory snapshots when their backing files disappear so stale responses cannot expose deleted session data.
The UI stayed on "parsing messages" during the whole post-parse phase:
the importer emitted an 'importing' stage the frontend had no text for,
and on CLI Web the synchronous DB writes / index / FTS build starved the
event loop so buffered SSE progress events only arrived after the import
finished.
- Replace 'importing' with 'saving' (message writes) and a new 'indexing'
stage (indexes / FTS / session index) in ParseProgress, with UI texts
for all four locales.
- Yield a macrotask between native parser batches and before heavy
synchronous steps so SSE progress events flush while importing.
Co-authored-by: Cursor <cursoragent@cursor.com>
getJieba() invalidated its cache whenever no dict file existed on disk,
so users without a custom dict rebuilt a Jieba instance per tokenize call.
FTS indexing tokenizes every message, making imports seconds slower
(43MB sample: 9.2s -> 3.5s after the fix). Cache now only invalidates
when the on-disk dict state actually changes (added or removed).
Co-authored-by: Cursor <cursoragent@cursor.com>
Add @openchatlab/parser-native (napi-rs v3) with a shared byte-level JSON
scanner and two format kernels. Parsing large exports is 4-10x faster in
real-data benchmarks. The native module is an optional local build; the
pure-TS parsers remain as automatic fallback when it is unavailable,
disabled via CHATLAB_DISABLE_NATIVE_PERF=1, or rejects off-spec files.
The ChatLab kernel also parses the members array structurally, fixing the
TS head-regex heuristic that silently dropped avatars/roles for files with
nested arrays or long member lists.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(semantic-index): stabilize embedding warmup
Improve warmup job reliability and prevent raw API response body from
reaching app.log. Status code alone is sufficient for diagnosing failures;
stripping the response detail eliminates the risk of chat content being
written to the log via OpenAI-compatible services that echo submitted input.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(semantic-index): clear preload error after warmup retry
When local model preload fails, a later warmup can successfully recreate the extractor through embedDocuments but leave modelPreloadStatus stuck on error.
Mark the local model ready after a completed warmup writes chunks, and cover the retry path with a regression test.
* fix(semantic-index): guard warmup model status updates
Capture the model configuration used by a warmup job before it starts, and only clear local preload errors when the current local model still matches that job.
Add a regression test for switching local models while an older warmup is still completing.
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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