Commit Graph
2 Commits
Author SHA1 Message Date
lyuksovannyy 0619c5fe68 Fix scroll lag and misplaced summary cards
Three defects in the restore/injection path.

Scrolling stuttered in any chat that had been summarized. The restore gate
keyed on id(chat_activity), but every Xposed callback hands Python a fresh
Chaquopy wrapper around the same Java object, so the key never matched and
each scroll frame opened SQLite and rescanned the message list.
updateMessagesVisiblePart runs per frame, so that ran continuously.
BaseFragment.classGuid is assigned once per fragment instance, so it
identifies an open chat across calls; measured 1 query per 300 frames
instead of 300. Saved rows are cached per scope, invalidated on save.

The card could attach to the wrong message when many messages were
included. insert() computed the index on the calling thread and applied it
later on the UI thread; a large range takes long enough for paging or an
incoming message to shift the list in between, so a stale index was used.
The index is now computed on the UI thread immediately before the
mutation that consumes it.

Every saved summary appeared stacked together in a row. find_index_for_anchor
fell back to nearest-by-id whenever the anchor was not loaded, and a chat
opens with a short window, so summaries anchored far up all collapsed to
adjacent slots at the bottom. Absence is now reported as -1 and those cards
are skipped until paging brings their anchor in; the id-order fallback stays
opt-in for reanchor, which must place a card it has already removed.
Verified against the 6 real saved summaries for one chat: previously all 6
were injected consecutively on open, now none are, and each appears in its
correct place once its range is scrolled in.

Also makes restore linear in list length rather than rescanning per summary.
2026-09-19 16:51:12 +02:00
lyuksovannyy 196da742de Implement Chat Summaries plugin
Replace the sample plugin with an AI chat summarizer that renders its
output as a native RichMessage injected into the chat.

Summarization pipeline:
- Fetch chat/topic history via paginated TL requests.
- Send a system prompt, the user's instructions and an anonymized JSON
  transcript as three separate roles. Only message text and attachment
  names leave the device; senders and message ids are replaced by
  indices, and out-of-range reply parents are included with negative ids
  so replies keep their context.
- Stream the response over SSE, reading reasoning from reasoning_content,
  reasoning or inline <think> tags.
- Substitute the model's {userN}/{msgN} placeholders back into real names
  and deep links. Placeholders are used instead of Markdown links because
  a half-streamed link renders as broken literal text.

Rendering:
- Compile Markdown into TL_iv page blocks (headings, lists, quotes, code,
  dividers, inline styles) since the app's own converter works off
  Android Spanned spans rather than Markdown source.
- Show progress stages immediately on click, animate reasoning while it
  streams, then collapse it into a tappable details block.
- Attribute the card to a client-side mock sender and insert it directly
  after the newest analyzed message, scrolling it into view.

Persistence:
- Store summaries in SQLite keyed by (dialog, topic, anchor) and
  re-inject them when the chat is reopened.

Also add tools/release.py and a Gitea workflow that builds, verifies and
publishes dist/<id>.plugin to the Releases tab, and extend
tools/verify_bundle.py to 104 offline checks covering the transcript,
streaming, rendering, injection and storage behaviour.
2026-09-12 23:52:15 +02:00