Chatterbox validates the reference clip by file extension and rejects formats
like .aac/.opus. Always transcode the reference (upload bytes and library
files alike) to mono 24 kHz WAV with ffmpeg before forwarding, so any source
format is accepted and the from-library audio/video paths are unified.
The reference length cap is now configurable via LLAMA_SWAP_TTS_REF_SECONDS
(default 30) — Chatterbox is zero-shot, so a clean ~10-20s clip is the sweet
spot. Drops the now-unused mime guesser.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds the /tts/speech and /tts/voices* endpoints plus LLAMA_SWAP_TTS_MODEL /
LLAMA_SWAP_TTS_VOICE (TTS only needs LLAMA_SWAP_URL, not LLM_BACKEND=llamacpp).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
/tts/speech now normalizes input before synthesis: unwraps markdown
links/images to visible text, drops heading/list/blockquote/emphasis
markers and URLs, strips emoji (which non-turbo Chatterbox mispronounces
or skips), and collapses whitespace. Centralized in clean_for_tts so the
app, WebUI, and curl all get clean audio. Bracketed tags are deliberately
preserved for a future Turbo (paralinguistic) switch.
Adds optional exaggeration / cfg_weight / temperature to the request,
clamped to Chatterbox's documented ranges and forwarded on the speech
body. Unit tests cover markdown/emoji/URL stripping and tag preservation.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
LlamaCppClient gains text_to_speech (OpenAI /audio/speech), list_voices and
create_voice (voice library at the swap-root /upstream/<model>/voices
passthrough), plus a tts_model slot configured via LLAMA_SWAP_TTS_MODEL
(default "chatterbox").
New Claims-gated routes:
- POST /tts/speech -> { audio_base64, format } for data: URI playback
- GET /tts/voices -> voice library passthrough
- POST /tts/voices/upload -> clone a voice from an uploaded clip (multipart)
- POST /tts/voices/from-library -> clone from a library file (ffmpeg-extracts
audio from video; audio forwarded as-is)
Security: voice_name sanitized to [A-Za-z0-9_-] (it becomes an upstream
filename), 25 MB upload cap, library refs restricted to real audio/video,
path confined via is_valid_full_path. Adds is_audio_file + unit tests for the
sanitizer, mime guesser, and swap-root derivation.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
probe_video_stream_meta requested a bare `side_data_list` section in
-show_entries. On modern ffprobe that's the *frame* side-data section,
so ffprobe enumerated every frame to collect it — reading the entire
mdat. For non-faststart phone clips on the SMB mount this turned a
metadata probe into a full-file read: /video/generate took 10-32s per
open (0% CPU, time proportional to file size).
Switch to `stream_side_data_list`, which reads the Display Matrix
rotation from the stream header (moov) without touching frames. Codec,
frame rate, and rotation are unchanged; the existing rotation parser
already reads streams[0].side_data_list[].rotation. Fixes both the
open-path probe and the transcode actor's probe. Cold opens now return
near-instantly.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
generate_video built the rel_path for its image_exif lookup by stripping
the library root from the absolute path, leaving backslashes on Windows
(Melissa\clip.mp4). file_scan stores rel_paths forward-slash and
get_exif_batch matches exactly with no normalization, so the lookup
missed and the handler re-hashed the entire video file on every request.
Extract rel_path_for_lookup and normalize separators with replace('\\',
'/'). Adds tests for Windows/Unix separators, file-at-root, leading
separator stripping, and the no-match fallback.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The truncation budget estimated message size by serializing the full
ChatMessage array, including the base64 image persisted in the first
user message. A 1024px JPEG is hundreds of KB of base64 characters —
8-19x the entire ~24KB text budget at the default num_ctx — and the
image lives in the protected prefix that's never dropped. The budget
check was therefore essentially always over, dropping all tool history
and firing the "trimmed context" banner on every turn for vision
backends that inline images.
estimate_bytes now strips image payloads before counting and charges a
flat IMAGE_TOKENS_EACH per image instead, so the budget reflects real
text token pressure. Adds a regression test covering a short
conversation with one large image.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Replace the one-shot SSE chat stream with an async dispatch + reconnectable
replay flow so the mobile client survives backgrounding, network blips, and
OS-killed sockets without losing an in-flight agentic turn.
- TurnRegistry/TurnEntry: in-memory per-turn event buffer (cap 500, front
eviction) shared by the agentic loop (writer) and SSE replay readers.
ReplayOutcome + replay_from/next_batch distinguish Events/CaughtUp/Gone;
next_batch registers the Notify before reading state (no lost wakeup) and
drains every buffered event before signaling terminal, so the final
Done/Error is never dropped and the stream closes cleanly.
- Endpoints: POST /insights/chat/turn (202 + turn_id), GET
/insights/chat/turn/{id} (SSE replay, ?skip_before= resume, per-event seq,
410 on eviction), DELETE /insights/chat/turn/{id} (real task abort +
cooperative is_running() check at each loop boundary).
- Cancellation actually stops the task (AbortHandle stored on the entry) and
emits a Done{cancelled:true}; callers skip persistence on cancel.
- Background sweeper drops stale turns; interval clamped to <=300s.
- OpenTelemetry spans: ai.chat.turn.execute/replay/cancel.
- Legacy POST /insights/chat/stream path preserved unchanged.
Tests: registry coverage for terminal delivery (race guard), waiting, Gone,
abort, eviction; handler integration tests for 404/410, skip_before, seq
stamping, completed replay, and cancel.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
A previous commit added prompt_eval_count and eval_count to the
existing 2026-05-27-000002_add_insight_generation_params migration,
but Diesel won't re-run an already-applied migration. Environments
that applied the original version of 000002 never got these two
columns, causing "no such column: photo_insights.prompt_eval_count"
on every insight read.
- Revert 000002 up.sql to its original 7-column form
- Add 000003_add_insight_token_counts for the two missing columns
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The previous fix logged the underlying error in a separate log line,
but the error that propagated up still showed just "DbError { kind:
InsertError }" at the call site. Now the source message is captured
on the struct itself, so Debug/Display output at any call site shows
the actual Diesel error inline.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Every map_err(|_| DbError::new(...)) and map_err(|_| anyhow!("..."))
in the database layer was discarding the actual Diesel/SQLite error,
making failures impossible to diagnose from logs.
- Add DbError::log() that logs the source error before converting
- Replace all ~130 swallowed outer map_err closures with DbError::log
- Replace all ~47 swallowed inner anyhow closures to include the
source error in the message
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The previous map_err closures discarded the Diesel error, making
failures like missing columns impossible to diagnose from logs.
Now the underlying error is logged before converting to DbError.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Add prompt_eval_count and eval_count columns to photo_insights so
token usage from llama-swap/Ollama is stored and returned by the API
- Fix agentic generator return: was (prompt_eval_count, eval_count),
handler destructured first element as insight_id — now returns
(insight_id, prompt_eval_count, eval_count)
- Wire prompt_eval_count/eval_count from DB into PhotoInsightResponse
instead of hardcoded None
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Replace impl ToString with impl Display for InsightJobStatus and
InsightGenerationType
- Rename from_str → parse to avoid confusion with std::str::FromStr
- Collapse nested if statements (handlers, insight_chat, insight_generator,
image handlers)
- Use is_multiple_of() instead of manual modulo checks
- Suppress deprecated diesel::dsl::count_distinct (no drop-in replacement
available in current Diesel version)
- Scope MutexGuard in synthesize_merge to drop before await
- Allow dead_code on generate_no_think, enumerate_indexable_files,
total_deleted (intended for future use)
- Allow type_complexity on Diesel query result tuples
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Previously embed_one() silently fell back to Ollama embeddings,
which would load nomic-embed-text into VRAM alongside llama-swap —
wasting memory on an unintended model. Now returns an error with
an actionable message instead.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Fix query param mismatch: rename GenerationStatusQuery.file_path to
path so the client's app-resume buildQuery({ path: ... }) resolves
correctly instead of always getting 400
- Remove dead _lib_id bindings from both generate handlers
- Return 202 Accepted instead of 200 from generate endpoints
- Restore OpenTelemetry span instrumentation on generate handlers
- Remove stale UNIQUE constraint from initial migration (incompatible
with plain-INSERT DAO)
- Add tests for status guard: complete_job/fail_job are no-ops when
job is already cancelled, and cancel_job by id
- Persist generation params (num_ctx, temperature, top_p, top_k, min_p,
system_prompt, persona_id) on the photo_insights table for auditing
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Add insight_generation_jobs table migration and DAO
- Implement job lifecycle: create_or_get_active, complete, fail, cancel
- Refactor POST /insights/generate and /agentic to async spawn with timeout
- Add GET /insights/generation/status endpoint with job_id and file_path lookup
- Use String for enum fields in Diesel models to avoid private Bound type
- Add from_str() helpers on InsightJobStatus and InsightGenerationType
- Fix update_training_messages to return Result<usize, DbError>
- 7/7 DAO unit tests passing
When backend=hybrid with LLM_BACKEND=llamacpp, the user-selected model
(an OpenRouter id like "google/gemini-3-flash-preview") was being applied
to the local LlamaCppClient's primary_model and vision_model. This caused
describe_image to send the OpenRouter model name to llama-swap, which
returned 400 because it has no such slot.
Guard the local-client model override with !is_hybrid so it only applies
in local-only mode (where the user is selecting a different local model).
Bump to v1.2.0.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- sms search tool: accept contact name, trim/validate, skip when
contact_id is set, pass to API client
- sms_client: new contact field in SmsSearchParams, URL-encode on wire
- Tool description clarifies contact_id takes precedence when both given
- Add parse_title_body helper for LLM response parsing
- llamacpp backend improvements
New `PhotoSize::XLarge` variant sits between `Large` (2048px) and
`Full` (original). On-demand generated and disk-cached at
`_xlarge/<hash>.jpg`, same waterfall as `Large` (embedded RAW preview
→ ffmpeg → image crate). Sources below 4096px serve at native size.
Reduces decoded bitmap memory from ~192MB (48MP full) to ~64MB for
the mobile viewer's zoom tier.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Cover the properties that prevent mid-turn model swaps in llama-swap
exclusive mode: vision_model defaults to primary, cloned local client
mirrors the user-selected model, embeddings stay on their own slot.
Also test the content:null serialization for tool-calling messages.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
When the user selects a model from the picker, the local client's
primary_model and vision_model now match the chat model. Prevents
llama-swap exclusive mode from swapping models when describe_photo
or rerank fires during an agentic turn.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
llamacpp models now receive images directly instead of
describe-then-inline. LLAMA_SWAP_VISION_MODEL defaults to the
primary model. Document the ResolvedBackend dispatch pattern.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replace 5 copies of the ~80-line backend resolution pattern with a
single InsightGenerator::resolve_backend() builder that returns a
ResolvedBackend (chat + local clients, BackendKind enum, images_inline
flag). Tool dispatch now takes &ResolvedBackend instead of
&OllamaClient + model + backend strings.
Remove duplicated ollama/openrouter/llamacpp fields from
InsightChatService — InsightGenerator owns them and resolve_backend
uses them. Delete build_chat_clients (replaced by resolve_backend).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
llamacpp models now receive images via OpenAI content-parts instead of
the describe-then-inline strategy (hybrid mode unchanged). Fixes
assistant messages with tool_calls emitting content: null instead of ""
to satisfy strict Jinja template role-alternation checks. Adds debug
logging of message role sequences on llamacpp requests.
Introduces BackendKind enum, SamplingOverrides, and ResolvedBackend in
a new backend.rs module. InsightGenerator::resolve_backend centralises
client construction + vision capability detection — next step wires the
existing inline dispatch through it.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Reverts the per-request backend="llamacpp" value. Chat/vision/embedding
backend is now a deploy-time decision (LLM_BACKEND=ollama|llamacpp),
applied globally across chat, vision describe, and embeddings — so
embedding vectors stay in one space across the index.
- Per-request backend whitelist back to "local"|"hybrid". A request
arriving with backend="llamacpp" is rejected.
- LLM_BACKEND=llamacpp swaps the entire local stack to llama-swap:
chat hits the chat slot, describe hits the vision slot, embeddings
hit the embed slot. Hybrid mode still routes chat to OpenRouter
but uses LLM_BACKEND for the describe pass.
- Drops env vars HYBRID_VISION_BACKEND, LLAMA_SWAP_VISION_MODELS,
EMBEDDING_BACKEND (the last never shipped). Drops the
LlamaCppClient.vision_models allowlist — capability inference now
reports has_vision only for the configured vision_model slot.
- Drops the /insights/llamacpp/models handler. /insights/models is
the single endpoint; returns Ollama servers under LLM_BACKEND=ollama
and llama-swap slots (from LLAMA_SWAP_ALLOWED_MODELS) under
LLM_BACKEND=llamacpp. Same envelope shape either way.
- New ai::embed_one helper routes embeddings through llama-swap when
LLM_BACKEND=llamacpp (else Ollama). Wires it into the four
insight_generator embedding sites.
- Cross-replay matrix simplifies to pre-llamacpp shape (local↔local,
hybrid↔hybrid, hybrid→local allowed; local→hybrid rejected).
Wires a new LlamaCppClient (OpenAI-compatible /v1 wire format) alongside
OllamaClient and OpenRouterClient. Per-slot routing for chat/vision/embed
via env (LLAMA_SWAP_URL + *_MODEL vars); capability inference uses an
env allowlist since /v1/models doesn't report modality.
InsightGenerator + InsightChatService gain three-way dispatch on
chat_backend = "local" | "hybrid" | "llamacpp". Hybrid and llamacpp
share the describe-then-inline path (text-only chat after a separate
vision describe). HYBRID_VISION_BACKEND=llamacpp lets hybrid route its
describe pass through llama-swap's vision slot while chat still goes
to OpenRouter.
Cross-replay matrix added (validate_cross_replay): local<->llamacpp
and hybrid<->llamacpp allowed; local->hybrid and llamacpp->hybrid
rejected. New /insights/llamacpp/models handler mirrors the OpenRouter
shape.
Adds a third PhotoSize between Thumb (200px) and Full (original). The
viewer placeholder and map callout previously upscaled a 200px thumb
into a full-screen / full-width view, which looked visibly blocky on
3× devices. The new tier is generated on-demand, disk-cached, and
served via the existing /image endpoint.
Storage layout mirrors the Thumb branch's lookup chain:
1. hash-keyed: <thumbs>/_large/<hash[..2]>/<hash>.jpg (shared across
libraries when content_hash is known)
2. library-scoped legacy: <thumbs>/_large/<lib_id>/<rel_path>
Generation pipeline mirrors generate_image_thumbnail:
- RAW: decode the embedded JPEG preview, apply EXIF orientation,
resize to 2048-long-edge, encode JPEG q85
- HEIC/HEIF: ffmpeg with scale + q:v 5 (≈ q85)
- everything else: image crate decode + thumbnail() + JpegEncoder
Never upscales — sources below the 2048 cap re-encode at native size.
Handler offloads decode/resize to web::block to keep the actix worker
free (a 24MP source takes 100–500ms). Writes via tempfile+rename so
concurrent readers can't observe a half-written JPEG. On any
generation failure, falls through to the Full branch (which itself
serves the RAW embedded preview for unrenderable RAW containers).
Video requests for size=large fall back to the existing thumb pipeline
since there's no useful 2048px video tier.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Symptom: Apollo's logs showed bursts of 422 decode_failed from
ImageApi's CLIP backfill — e.g. `._DSC_2182-S.jpg`. macOS writes
`._<name>` AppleDouble sidecars when copying to non-HFS volumes
(SMB, FAT, exFAT), and they carry the original file's extension
even though their bytes are extended-attribute metadata, not the
image. ImageApi's walker matched them via the extension predicate,
sent them through the ingest pipeline, and accumulated failed rows
in face_detections + clip_embedding while pinning Apollo's eviction
timer with the 422 burst.
Fix: predicate-level guard in is_image_file / is_video_file (and
by inheritance is_media_file). Every walker that already gates on
these (face_watch, backfill, clip_watch, watcher, files,
probe_clip_search) inherits the skip without per-callsite edits.
Narrow scope on purpose — `._*` prefix + the exact `.DS_Store`
basename — rather than blanket dotfile filtering, because a user
could plausibly name a cover image `.cover.jpg`.
Existing rows are not cleaned by this change. To purge what
already accumulated (one-shot, run from your DB shell after
deploying):
DELETE FROM image_exif
WHERE file_path LIKE '%/._%' OR file_path LIKE '%/.DS_Store';
DELETE FROM face_detections
WHERE rel_path LIKE '%/._%' OR rel_path LIKE '%/.DS_Store';
DELETE FROM tagged_photo
WHERE file_path LIKE '%/._%' OR file_path LIKE '%/.DS_Store';
DELETE FROM favorites
WHERE path LIKE '%/._%' OR path LIKE '%/.DS_Store';
The maintenance pipeline's missing-file scan would NOT catch these
on its own — the files exist on disk (they're real macOS metadata,
just not images), so stat() returns Ok and the row sticks.
LF normalization across OSes; *.sql pinned to LF for stable diffs.
Tests cover the rational frame-rate parser (NTSC 29.97, integer fps,
slow-mo 240, ffprobe's 0/0 unknown sentinel, malformed and out-of-range
inputs). Extracted the closure into a free fn for the test seam.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds frame_rate to GenerateVideoResponse so the mobile scrubber can step
at the source's real fps instead of a hardcoded 30. probe_video_stream_meta
gains a frame_rate field (avg_frame_rate preferred, r_frame_rate fallback,
nonsense values rejected) and is now pub so the handler can reuse it.
Cost is one ffprobe per /video/generate call; degrades silently to None
on probe failure.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Previously the endpoint only accepted `library=<id>` (single id) — multi-
select scopes had to be filtered upstream by Apollo, which kept the
filter logic out of FileViewer-React's reach (it calls ImageApi
directly and got no scoping for 2+ active libraries).
Adds `library_ids` (comma-separated id list, e.g. `?library_ids=1,3`).
Parsed inside the existing scope decision: `library_ids` wins when
both are supplied; either / both empty falls back to "every enabled
library" (historical default). Malformed entries return 400.
Dedupes ids while preserving order so a stray `library_ids=1,1,3`
doesn't double-pass to the DAO. The single-id path still works
unchanged for older clients.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds `offset` query param (default 0) and `total_matching` + `offset`
response fields. Backend already computes the full sorted list of
above-threshold matches per query; pagination just slices it at
[offset, offset+limit) instead of always returning the top window.
Offsets past the end return an empty page cleanly so the client can
stop fetching naturally.
Re-scores on every page rather than caching the sorted list — at
personal-library scale (~14k embeddings, 768d) the dot-product loop
is sub-100ms and the lack of state means no eviction / staleness
concerns.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
APOLLO_CLIP_API_BASE_URL (falls back to APOLLO_API_BASE_URL),
CLIP_BACKLOG_MAX_PER_TICK, CLIP_ENCODE_CONCURRENCY, and
CLIP_REQUEST_TIMEOUT_SEC — all of which the code already reads.
Apollo's side was documented earlier; this closes the parity gap.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pulls cargo fmt + clippy pass over the new files only — pre-existing
files left untouched even though fmt has drift on them. clamp(1,200)
swaps a manual min/max chain that clippy flagged. test AppState
constructor needed ClipClient::new(None) so the lib-test target
compiles.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Wires the persistence layer for CLIP semantic search. The watcher's
per-tick drain encodes any image_exif row with a known content_hash
but no clip_embedding via Apollo (cap CLIP_BACKLOG_MAX_PER_TICK,
default 32). On a query, /photos/search encodes the text via Apollo
and reranks every stored embedding in-memory.
ExifDao additions:
- list_clip_unencoded_candidates — partial-index scan for drain
- backfill_clip_embedding — touches only the two new columns
- list_clip_index — dedup'd (hash, embedding) pull for search
clip_watch::run_clip_encoding_pass is the parallel fan-out — tokio
runtime per pass with CLIP_ENCODE_CONCURRENCY (default 4). No marker
rows for permanent failures yet; per-tick cap bounds the retry cost.
/photos/search params: q, limit, threshold (default 0.20), library,
model_version. Response is intentionally minimal (path + score) so
the frontend joins against existing photo-metadata routes lazily.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Probe-phase scaffolding for CLIP semantic search. Adds the column
that will hold per-photo embeddings, the HTTP client to Apollo's
inference service, and a throwaway probe binary so we can eyeball
search-result quality on the live library before building the
persistence layer (backlog drain, /photos/search endpoint, UI).
- migrations/2026-05-14-000000_add_clip_embedding/ — adds
image_exif.clip_embedding (BLOB) and clip_model_version (TEXT),
plus a partial index on (clip_embedding IS NULL AND content_hash
IS NOT NULL) for the future backfill drain.
- src/database/models.rs — extends ImageExif struct to match.
- src/ai/clip_client.rs — encode_image / encode_text / health,
same Permanent/Transient/Disabled taxonomy as face_client.
- src/bin/probe_clip_search.rs — --query <q> --library N --limit M
--top K. Encodes a sample and prints top-K cosine similarities.
No DB writes.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The hash-keyed `/video/hls/{hash}/{file}` route fully covers HLS
playback now and both clients (Apollo, FileViewer-React) have
shipped updates that use it directly. Keeping the basename-keyed
fallback only encouraged stale URLs to keep flowing — every legacy
file was deleted by the startup migration, so the routes were
guaranteed 404 machines.
Dropped:
- `stream_video` handler (`GET /video/stream?path=…`) — the original
basename-keyed playlist serve.
- `get_video_part` handler (`GET /video/{path}`) — bare-filename
segment serve. The new layout's segments live in
`<shard>/<hash>/segment_NNN.ts` and reach the client via
`stream_hls_file`.
- `legacy_path` field on `GenerateVideoResponse` (serialised as
`playlist`). The field always pointed at a file the migration had
deleted; current clients ignore it entirely.
- Their service registrations in `main.rs`.
- The body-side `filename` extraction in `generate_video` (existed
only to construct `legacy_path`) and the now-unused `global`
opentelemetry import in `handlers/video.rs`.
All 707 tests still pass. Same hand-rolled validators (`is_valid_hash`
/ `is_allowed_hls_filename`) keep the new route's defense-in-depth
intact.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Switch four `&s[..N]` / `&s[..s.len().min(N)]` sites to
`chars().take(N).collect::<String>()` so truncation lands on character
boundaries instead of mid-codepoint. The agentic summary preview log
was panicking when generated content hit an em-dash at byte 200; the
few-shot passage cap, brief_json_args debug formatter, and a test
assertion message had the same latent bug.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pure mechanical cleanup of accumulated drift in files outside the
HLS-content-hash branch's main change set. No behavior change.
- `cargo fmt` on every previously-misformatted file
(`ai/insight_generator.rs`, `database/knowledge_dao.rs`,
`faces.rs`, `knowledge.rs`, `libraries.rs`).
- `cargo clippy --fix`:
- `needless_borrow`: `&library` → `library` in `handlers/image.rs`
(two sites in the photo-listing path).
- Manual clippy pass for warnings clippy emits but can't auto-apply:
- `field_reassign_with_default` in `database/reconcile.rs::run` —
consolidated into a struct-literal initializer.
- `needless_range_loop` in `database/knowledge_dao.rs::union_perceptual_tags`
— inner `for b in (a+1)..indices.len() { let ib = indices[b]; ... }`
becomes `for &ib in &indices[a + 1..] { ... }`.
- Doc-list indentation: continuation lines under nested bullets in
`database/mod.rs::get_memories_in_window` and
`database/knowledge_dao.rs::build_entity_graph` realigned to the
list-item content column.
Deliberately not touched (each deserves its own focused commit, with
testing, rather than getting bundled into a sweep):
- 4× `deprecated count_distinct` in `faces.rs` — diesel API migration
to `AggregateExpressionMethods::aggregate_distinct` may shift result
types; needs verification against the existing stats queries.
- `await_holding_lock` in `knowledge.rs:807` — `std::sync::Mutex` held
across `ollama.generate(...).await`. Genuine concurrency bug; fix
requires understanding the surrounding flow before just dropping
the guard.
- 2× `type_complexity` in `database/mod.rs` — cosmetic, would need a
`type` alias and corresponding callers updated.
- Dead `total_deleted` on `library_maintenance::GcStats` and
`file_scan::enumerate_indexable_files` — both are public surface
retained for future use; deletion is a separate decision.
All 707 tests still pass. Release build clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Cameron Cordes
cameron
Cameron