Branch C of the multi-library data-model rollout. Implements the
operational maintenance pipeline pinned in CLAUDE.md → "Multi-library
data model" / "Library availability and safety". Branches A and B
land first; this branch builds on top.
New module: src/library_maintenance.rs
Three idempotent passes the watcher runs every tick after the
per-library ingest loop:
1. Missing-file scan (per online library)
For each Online library, load a paginated page of image_exif rows
(IMAGE_EXIF_MISSING_SCAN_PAGE_SIZE, default 500), stat() each one,
and delete rows whose source file is NotFound. Permission/IO
errors are skipped, never deleted. Capped at
IMAGE_EXIF_MISSING_DELETE_CAP_PER_TICK (default 200) per library
per tick — so a pathological mount that returns NotFound for
everything can't wipe the table in one cycle. Cursor advances
across ticks, wraps on partial-page returns, and naturally cycles
through the entire library over many minutes. Skipped wholesale
for Stale libraries via the existing probe gate.
2. Back-ref refresh (DB-only)
For face_detections / tagged_photo / photo_insights: any
hash-keyed row whose (library_id, rel_path) no longer matches an
image_exif row, but whose content_hash does, is repointed at a
surviving image_exif location. Pure SQL with EXISTS guards so
rows whose hash is fully orphaned are left alone (the orphan GC
handles those). Idempotent; no availability gate needed.
This is what makes a recent → archive move invisible to readers:
when pass 1 retires the lib-A row, pass 2 pivots tags / faces /
insights to lib-B's surviving path before any client notices.
3. Orphan GC (destructive)
Hash-keyed derived rows whose content_hash has no image_exif
referent are GC-eligible. Two-tick consensus: a hash must be
observed orphaned on two consecutive ticks AND every library must
be Online for both. A single Stale tick within the window cancels
all pending deletes (they remain marked but won't be promoted) —
they're re-evaluated next tick. The pending set lives in
OrphanGcState (in-memory); a watcher restart resets it, which can
only delay a delete, never cause one. Hashes that re-appear in
image_exif between ticks are "revived" from the pending set
(handles transient share unmount / remount).
Two new ExifDao methods:
- list_rel_paths_for_library_page(library_id, limit, offset) for
the paginated missing-file scan.
- (count_for_library landed in Branch A.)
Watcher wiring (main.rs)
Per-library: missing-file scan inside the existing per-library
loop, after process_new_files, gated by the same probe check that
already protects ingest. After the loop: reconcile (Branch B),
back-ref refresh, then run_orphan_gc. The maintenance connection is
opened once per tick (image_api::database::connect), used by all
three DB-only passes, and dropped at end of tick.
CLAUDE.md gains a "Maintenance pipeline" subsection that describes
the three passes and their interaction with the existing
availability-and-safety policy.
Tests: 225 pass (217 from Branch B + 8 new in library_maintenance
covering back-ref refresh including the fully-orphaned no-op case,
two-tick GC consensus, Stale-tick consensus reset, image_exif
re-appearance revival, multi-table delete, and the
all_libraries_online helper).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds a "Multi-library data model" section that classifies each table as
intrinsic-to-bytes (hash-keyed), user-intent-about-a-photo (hash-keyed),
or library-administrative ((library_id, rel_path)). Spells out merge
semantics on read (union for set-valued, earliest-wins for scalar),
write attribution (binds to bytes, not to current library), the
transitional-state rules for hash-less rows, library handoff behavior
on archive moves, and orphan GC.
Adds a "Library availability and safety" subsection: every watcher
tick begins with a presence probe; destructive paths (move-handoff
re-keying, orphan GC) require both/all libraries online and
confirmed-clean for two consecutive ticks. A NAS reboot, USB pull, or
VPN drop must never trigger destruction — the worst case is that
derived-data work pauses until the share returns.
The face_detections table is referenced as the existing reference
implementation of the policy.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
face_detections is keyed on content_hash (one row per unique bytes,
shared across libraries / duplicate paths) but total_photos was
COUNT(*) over image_exif rows. A file present at multiple rel_paths or
across libraries inflated the denominator without inflating the
numerator, leaving a permanent gap (e.g. 1101/1103 with nothing
actually pending detection).
Switch total_photos to COUNT(DISTINCT content_hash) so numerator and
denominator live in the same domain. Exclude rows with NULL
content_hash from the count — they're held in the hash-backfill
backlog, not the detection backlog, and counting them pins the bar
below 100% for the duration of that pass.
CLAUDE.md: document the stats domain rule next to the rest of the
face-detection notes.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
CLAUDE.md gets an "Important Patterns → Face detection system" entry
covering the schema (why content_hash and not (library_id, rel_path)),
the file-watch hook + per-tick backlog drains, auto-bind on tag-name
match, manual-face create with EXIF orientation handling, and the
rerun-preserves-manual-rows contract. README's face section adds
the two new env vars (FACE_BACKLOG_MAX_PER_TICK and
FACE_HASH_BACKFILL_MAX_PER_TICK) shipped this cycle so operators
know they're tunable.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Land the persistence model and HTTP surface for local face recognition.
Inference still lives in Apollo (Phase 1); this side adds the data home
plus every endpoint Apollo's UI and FileViewer-React will consume.
Schema (new migration 2026-04-29-000000_add_faces):
- persons: visual identities. Optional entity_id bridges to the
existing knowledge-graph entities table; auto-bridging is left to
the management UI (we don't muddy LLM provenance from face rows).
UNIQUE(name COLLATE NOCASE) so 'alice' / 'Alice' fold to one row.
- face_detections: keyed on content_hash (cross-library dedup), with
status='detected' carrying bbox + 512-d embedding BLOB, and
'no_faces' / 'failed' marker rows that tell Phase 3's file watcher
not to re-scan. Marker invariant enforced via CHECK; partial UNIQUE
on content_hash WHERE status='no_faces' guards against double-marks.
Schema regenerated with `diesel print-schema` against a clean migration
run; joinables added for face_detections → libraries / persons and
persons → entities.
face_client.rs (sibling of apollo_client.rs):
- reqwest multipart, 60 s timeout (CPU inference on a backlog can be
slow; bounded threadpool on Apollo serializes calls anyway).
- FaceDetectError::{Permanent, Transient, Disabled} — Phase 3 keys
its marker-row decision on this. 422 → mark failed, 5xx → defer.
- APOLLO_FACE_API_BASE_URL falls back to APOLLO_API_BASE_URL when
unset; both unset = is_enabled() false, callers no-op.
faces.rs (DAO + handlers):
- SqliteFaceDao implements the full FaceDao trait; person face counts
go through sql_query because diesel's BoxedSelectStatement +
group_by trips trait-resolver recursion.
- merge_persons re-points face rows in a transaction, copies notes
when target's are empty, deletes src.
- manual POST /image/faces resolves content_hash through image_exif,
crops the user-drawn bbox with 10% padding (detector wants context
around ears/jaw), POSTs the crop to face_client.embed for a real
ArcFace vector, then inserts source='manual'.
- Cluster-suggest (Phase 6) gets its data from
GET /faces/embeddings — base64-encoded paged BLOBs so Apollo's
DBSCAN can stream them without ImageApi pre-aggregating.
Endpoints registered alongside add_*_services in main.rs:
GET /faces/stats?library=
GET /faces/embeddings?library=&unassigned=&limit=&offset=
GET /image/faces?path=&library=
POST /image/faces (manual create via embed)
PATCH /image/faces/{id}
DELETE /image/faces/{id}
GET /persons?library=
POST /persons
GET /persons/{id}
PATCH /persons/{id}
DELETE /persons/{id}?cascade=set_null|delete (set_null default)
POST /persons/{id}/merge
GET /persons/{id}/faces?library=
The file-watch hook (Phase 3) and the rerun-on-one-photo handler
(Phase 6) live behind the FaceDao methods marked dead_code today —
they're called only when those phases land. Same shape for the trait
methods that aren't reached by Phase 2 routes.
Tests: 3 DAO unit tests cover person CRUD + case-insensitive uniqueness,
marker-row idempotency (mark_status is a no-op when any row exists),
and merge re-pointing faces.
Cargo.toml: reqwest gains the `multipart` feature.
cargo build / cargo test --lib / cargo fmt / cargo clippy --all-targets
all clean for the new code; the two pre-existing test_path_excluder
failures and the pre-existing sort_by clippy warnings are unrelated and
present on master.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Optional integration with the sibling Apollo project's user-defined
Places (name + lat/lon + radius_m + description + category). When
APOLLO_API_BASE_URL is set, the per-photo location resolver folds the
most-specific containing Place into the LLM prompt's location string —
"Home (My house in Cambridge) — near Cambridge, MA" rather than the
city name alone. Smallest-radius wins; Apollo sorts server-side via
/api/places/contains, so the carousel badge in Apollo and the prompt
string here always agree.
Adds an agentic tool `get_personal_place_at(latitude, longitude)` that
the LLM can call during chat continuation. Tool description tells the
model the call returns the user's free-text notes, not just a name.
Deliberately narrow — no enumerate-all variant, lat/lon required.
Unset APOLLO_API_BASE_URL = legacy Nominatim-only path, tool is not
registered. 5 s timeout; all errors degrade silently.
Tests: 5 unit tests for compose_location_string (Apollo only, Nominatim
only, both, both-with-description, neither).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
kamadak-exif's In::PRIMARY / In::THUMBNAIL only address IFD0 and IFD1.
On modern Nikon NEFs the full-res review JPEG lives in the MakerNote's
PreviewIFD (and many Canon CR2s / DNGs put theirs in a SubIFD chain) —
both unreachable through the existing reader, so the previous patch
still produced no preview for those files and the pipeline fell through
to ffmpeg, which writes black frames when it can't decode the RAW.
Add a slow-path layer in extract_embedded_jpeg_preview that shells out
to exiftool for PreviewImage / JpgFromRaw / OtherImage (one process per
tag). All candidates from both layers are pooled and the largest valid
JPEG wins. exiftool not on PATH degrades to fast-path-only behavior
rather than breaking — the fallback is a strict superset.
Documented the new optional dependency in README.md and CLAUDE.md with
install commands for apt / brew / winget / choco.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Single-library hardcoded (library_id=1) and missing content_hash/size_bytes
backfill, so the watcher's full-scan path subsumes everything it does.
Removed the binary and its CLAUDE.md reference.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Document the four new chat endpoints, SSE event shape, backend
routing rules, rewind semantics, amend mode, and the
AGENTIC_CHAT_MAX_ITERATIONS cap.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add OPENROUTER_ALLOWED_MODELS env var and GET /insights/openrouter/models
endpoint returning the curated list verbatim. Drop the live capability
precheck in hybrid mode — trust the operator's allowlist; bad ids surface
as a chat-call error.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Implement unit tests for PreviewClipRequest/PreviewStatusRequest serialization and deserialization.
- Add tests for PreviewDao (insert, update, batch retrieval, and status-based queries).
- Extend Actix-web integration tests for `/video/preview/status` endpoint scenarios.
- Introduce in-memory TestPreviewDao for mock database interactions.
- Update README with new config parameters for preview clips.
