feat: nightly agentic pre-generation of memory reels
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
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@@ -67,10 +67,11 @@ pub async fn generate_video(
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let context = extract_context_from_request(&request);
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let mut span = tracer.start_with_context("generate_video", &context);
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let preferred_library = libraries::resolve_library_param(&app_state, body.library.as_deref())
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.ok()
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.flatten()
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.unwrap_or_else(|| app_state.primary_library());
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let preferred_library =
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libraries::resolve_library_param_state(&app_state, body.library.as_deref())
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.ok()
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.flatten()
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.unwrap_or_else(|| app_state.primary_library());
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// Try the resolved library first, then fall back to any other library
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// that actually contains the file — handles union-mode requests where
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