- pregen_one recorded media_count as planned.len() (beat count); record
the actual media item total (media.len(), photos + clips) in both the
cache-hit and freshly-rendered ledger paths. Drops the redundant
photo_count binding.
- Replace upsert_prefs's insert-then-catch-error-then-update dance with a
single atomic INSERT ... ON CONFLICT(id) DO UPDATE. Explicit id=1 makes
the conflict target deterministic; explicit column .set((...)) keeps
None -> NULL overwrite semantics so the row mirrors the latest request
exactly, and genuine insert errors surface instead of being swallowed.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
1. Drop the unregistered prefs_dao/reel_dao web::Data extractors from
create_reel_handler / precomputed_reel_handler and read the DAOs off
AppState instead (consistent with the scheduler). Missing app_data
would have 500'd every POST /reels and /reels/precomputed at runtime.
2. Restore the dropped 'return' in the cache-hit branch — without it a
cache hit fell through, overwrote the Done job with Queued, and
re-ran the whole TTS+render pipeline on every request.
3. Make secs_until_next_run_hour minute/second-accurate so a batch that
finishes inside the run hour sleeps ~24h instead of busy-looping
(wake, re-run, sleep 0) for the rest of the hour. Tests updated.
4. Prune photo/user-bound tools (get_file_tags, get_faces_in_photo,
recall_facts_for_photo, recall_facts_for_entity) from the agentic
reel scripter's allow-list — they no-op/error with the empty
file/user context and only burn iterations.
5. Align AGENTIC_SYSTEM_PROMPT's advertised tool list with the actual
(pruned) allow-list.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Implement end-to-end nightly pre-generation of memory reels with agentic
scripting that grounds narration in calendar, location, messages, and RAG.
Sections A-E from the plan:
A. Extract produce_reel pipeline core from run_reel_job with
ScripterMode::Fast/Agentic and progress callbacks.
B. Agentic scripter: factor run_readonly_tool_loop from the insight
generator, build read-only tool gate, prompt builder with GPS, and
generate_script_agentic with fallback to fast path.
C. Precomputed reels ledger (SQLite table + DAO), GET /reels/precomputed
handler with validity gate, GET /reels/by-key/{key}/video streaming,
and normalize_library_key helper.
D. Nightly scheduler: spawn_pregen_scheduler with configurable hour,
run_pregen_batch (day/week/month spans), pregen_one with dedup and
disk-check, secs_until_next_run_hour time math.
E. user_ai_prefs passive mirror table + DAO for param capture in
create_reel_handler and replay in the scheduler.
Also fixes resolve_library_param signature to take &[Library] and adds
resolve_library_param_state wrapper for AppState callers.
New files: migrations/2026-06-13-000000_add_precomputed_reels/,
migrations/2026-06-13-000010_add_user_ai_prefs/,
src/database/precomputed_reel_dao.rs,
src/database/user_ai_prefs_dao.rs
A clip beat capped playback at CLIP_SECONDS and filled the rest of the
narration with a tpad freeze-frame, so a clip stopped dead on its last
frame for a second or two before the transition — a glitchy pause that
stills don't have. Extract clip_beat_plan: the clip now plays for as
much of its beat as the source footage covers, and we freeze only when
the source is genuinely shorter than the narration. Bump RENDER_VERSION.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
0.08s read as too abrupt; 0.12s keeps the burst clearly snappier than the
0.35s held-shot fade without jarring. Bumps RENDER_VERSION.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Videos in a span now appear as clip beats: the first few seconds of the
video (capped at CLIP_SECONDS=5, and to the source length) filled to the
portrait canvas like photos, with its live audio ducked under the
narration (amix at 0.35). If the narration outlasts the clip, the last
frame is held (tpad); clips with no audio track just play under narration.
Selection splits the beat budget between photo beats and clip beats —
clips get up to half (≥1 when present), photos the rest — then merges
both back into chronological order. SegmentMedia gains a Clip variant;
beats carry `media` (photos or one clip) and the cache key tags P/C so a
path used as a still vs a clip differ.
Also drops the burst fade from 0.15s to 0.08s so a quick burst reads
clearly differently from a held shot. Bumps RENDER_VERSION.
The clip filtergraph (fill + duck-mix + last-frame hold) is unit-tested
but, like the rest of the ffmpeg path, wants a real render check on the
GPU host.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Restructures a reel around beats — one narration line over one or more
photos — instead of one line per photo. A single-photo beat is a held
shot; a multi-photo beat is a quick burst that flashes through several
moments of an event while the line is read. So a week/month reel can show
everything it spans without a narrated (and timed) segment per photo.
Selection (selector.rs):
- Duration budget: cap the number of narrated beats to ~REEL_TARGET_SECONDS
(default 90, env-tunable) so week/month reels don't run minutes long.
- Event clustering by time gap; when there are more events than the beat
budget, adjacent events merge so the whole span stays covered. Each beat
bursts up to MAX_BURST_PHOTOS (an even spread), so a 40-shot dinner
contributes a handful of quick frames, not forty narrated seconds.
Render (render.rs): a beat renders its photos as a concat of per-photo
fills (blurred-bg portrait, fps-before-fade) under one muxed narration;
burst photos get a snappier fade. beat_durations splits the narration
across the photos, stretching only if a long burst would flash too fast.
Adds high-level info logs across the steps (request → script → per-beat
narrate/render → join → done with elapsed) for visibility. Bumps
RENDER_VERSION to re-render cached reels.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The fade looked steppy/low-frame-rate because the filtergraph normalized
fps AFTER the fade filters: the brightness ramp was sampled at the looped
still's coarse input cadence, then duplicated up to 30fps. Move fps ahead
of the fades, pin the still's input framerate (-framerate), and force CFR
output (-r) so the dip ramps across a full 30 frames and plays steadily.
Ease narration expressiveness from 0.7 to 0.6 (still tunable via
REEL_TTS_EXAGGERATION). Bump RENDER_VERSION so existing reels re-render.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Fixes the "image is tiny" problem: a 1920x1080 landscape reel letterboxes
to a ~25%-height band on a portrait phone. Switch to a portrait 1080x1920
canvas and fill it per photo with a blurred, zoomed copy of the image
behind the sharp fitted photo — so the frame is always full regardless of
the photo's orientation, with no black bars and no cropping of the subject.
Add a quick 0.35s fade in/out baked into each segment so concatenated
photos dip smoothly instead of hard-cutting (fade-out lands in the
narration's silent tail, so speech isn't clipped). Drop the unused
Ken Burns branch — motion can return deliberately later.
Warm up the narration a touch: thread Chatterbox's `exaggeration` through
synthesize_serialized and default reels to 0.7 (tunable via
REEL_TTS_EXAGGERATION). Bump RENDER_VERSION so existing landscape reels
re-render.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
New POST /reels + GET /reels/{id} (+ /video) build an MP4 slideshow of a
memory span (day/week/month), narrated by the LLM in a cloned voice.
Pipeline (src/reels/): a selector resolves which photos + reel metadata,
the scripter writes one narration line per photo via a single LLM call
(reusing each photo's cached insight as context — no fresh vision calls,
so reel generation stays off the GPU's vision slot), each line is
synthesized to speech, and the renderer assembles stills + narration via
ffmpeg. Jobs run in the background (mirroring the TTS speech-job
registry) since a reel takes minutes; the finished MP4 is cached on disk
keyed by the selection so a repeat request is instant.
The segment model is media-typed (Photo today) so a video-clip segment
(phase 2) and a nightly pre-render (phase 3) slot in without reworking
the pipeline. Ken Burns motion is implemented but defaulted off pending a
visual check on the GPU box.
Supporting changes:
- memories: extract gather_memory_items() so the reel selector reuses the
exact window/exclusion/tz/sort logic behind /memories.
- ai::tts: add synthesize_serialized() so reel narration honors the same
single-GPU permit + write lease as user TTS requests.
- video::ffmpeg: make get_duration_seconds() pub for narration timing.
- AppState: reels_path (REELS_DIRECTORY, defaults beside preview clips).
Pure logic (cache key, script parsing, ffmpeg arg/filter construction,
even sampling, segment timing) is unit-tested (26 tests). The runtime
path (ffmpeg render, TTS, LLM) needs a real run on the GPU host to verify
end-to-end — not exercisable in CI.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Cameron Cordes