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Author SHA1 Message Date
Cameron Cordes dbbd4470a5 auto-tag: Apollo tag client + probe binary
Adds ai::tag_client mirroring face_client for Apollo's RAM++ endpoint
(APOLLO_TAG_API_BASE_URL falling back to APOLLO_API_BASE_URL), and a
throwaway probe_auto_tags binary that walks image_exif and prints tags
without writing the DB. Lets us eyeball RAM++ output quality + threshold
before committing to a schema and per-tick drain.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 20:01:55 -04:00
cameron 22ce1a20e7 Merge pull request 'feature/library-patch-endpoint' (#94) from feature/library-patch-endpoint into master
Reviewed-on: #94
2026-05-13 13:44:36 +00:00
Cameron Cordes 7ec156fc05 libraries: accept newline as an excluded_dirs separator
Splits parse_excluded_dirs_column on `,`, `\n`, AND `\r` so a textarea
submit with one entry per line works the same as comma-separated.
Mixed input (`a, b\nc`) parses cleanly too — the frontend can paste
from any source without preprocessing.

Motivated by the "forgot the comma" footgun: typing
`.thumbnails .thumbnails2` in a single-line input today stores a
never-matching component pattern. With newlines as a first-class
separator and the frontend switching to a textarea, the natural
one-per-line UX makes that mistake impossible.

The DB store form stays comma-joined (normalize_excluded_dirs_input
hasn't changed) so existing rows are unaffected and no migration is
needed. Newline support matters mostly for the inbound write path;
mirroring it on the read side keeps the parser round-trip safe in
case anything writes a newline form directly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 09:23:51 -04:00
Cameron Cordes 439532377d libraries: validate excluded_dirs entries on write
Reject the silent-footgun shapes that PathExcluder would store but
never match. The watcher would still walk past every photo as if the
exclude wasn't there, and the operator would have no signal that
their entry is dead. Caught at PATCH time with a descriptive 422.

Rules:
- Backslash anywhere → "use forward slashes" (catches \photos,
  photos\2024, \\server\share — Windows-typed entries land in the
  component-pattern bucket and never fire).
- Drive-letter prefix (Z:, Z:/...) → "relative to library root" —
  excludes are root-relative, not absolute system paths.
- Multi-segment name with no leading slash (photos/2024) →
  "did you mean /photos/2024?" — the common "I forgot the slash"
  typo, today silently stored as a component pattern that never hits.
- `..` segments in a path entry → "doesn't normalise". base.join()
  doesn't canonicalise, so the resulting prefix never matches.
- Bare "/" → "almost certainly a typo" for the library root.

Trailing slashes on path entries are stripped silently. Eight new
tests cover each rejection plus the trailing-slash normalisation
and the all-or-nothing failure mode of normalize_excluded_dirs_input
(one bad entry aborts the whole patch rather than silently applying
N-1 of N changes).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 09:02:29 -04:00
Cameron Cordes ce9fa94cb4 libraries: surface globals, normalise excluded_dirs on write
Two follow-ups to the PATCH endpoint:

1. GET /libraries now returns ``global_excluded_dirs`` alongside the
   library list — the union-with-globals semantics is invisible from
   the per-library row alone, and the admin UI needs to show what's
   already being skipped before the operator adds entries that would
   duplicate.

2. PATCH /libraries/{id} canonicalises the excluded_dirs string on
   write via the new ``normalize_excluded_dirs_input``: trims per
   entry, drops empties, dedupes preserving first-occurrence order,
   comma-joins without inner whitespace. Empty / whitespace-only →
   NULL. Round-trip stable so re-saving an entry produces an
   identical row.

Five new tests cover the empty / whitespace, trim, dedup, round-trip,
and overlap-with-globals cases. effective_excluded_dirs continues to
keep overlapping entries between globals and per-library on purpose —
PathExcluder accepts repeats and there's no behavioural reason to
dedupe at merge time.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 08:58:04 -04:00
Cameron Cordes b3124437ec libraries: PATCH /libraries/{id} with live-apply
Adds an HTTP mutation surface for `libraries.enabled` and
`libraries.excluded_dirs`, replacing the SQL-only workflow noted in
CLAUDE.md. Apollo's Settings panel calls this from the LIBRARIES
section so the operator no longer has to ssh + sqlite3 to flip a
library off or edit its excludes.

Live-apply (no restart) via a new `live_libraries: Arc<RwLock<Vec<
Library>>>` field on AppState. The existing immutable `libraries`
Vec stays for hot-path handlers that only need stable id → root_path
lookups, avoiding a 19-call-site refactor. The watcher and
cleanup_orphaned_playlists now take the lock instead of a Vec
snapshot and re-read at the top of each tick, so `enabled` /
`excluded_dirs` changes are picked up within one
WATCH_QUICK_INTERVAL_SECONDS. The GET /libraries handler also reads
through the live view.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 08:47:35 -04:00
cameron 74bf693878 Merge pull request 'feature/date-backfill-null-only' (#93) from feature/date-backfill-null-only into master
Reviewed-on: #93
2026-05-12 18:42:21 +00:00
Cameron Cordes 2d56047497 Drop fs_time from date-backfill eligibility
The drain queried `date_taken IS NULL OR date_taken_source = 'fs_time'`
ORDER BY id ASC LIMIT 500 every watcher tick. The resolver is
deterministic on file bytes + filename + fs metadata, so any row that
landed on fs_time once landed there again on every retry — the drain
spun on the same lowest-id rows in perpetuity, never advancing to
rows 501+ while still logging more_remain=true.

Side effect: 500 auto-commit UPDATEs per tick sustained the SQLite
write lock long enough that other writers on separate DAO connections
hit the 5s busy_timeout. Manifested as intermittent 500s on
PATCH /image/faces/{id} that succeeded on retry.

Narrow the partial index and query predicate to `date_taken IS NULL`.
If exiftool installs or a new filename regex lands, an operator can
re-resolve fs_time rows out-of-band rather than re-introducing the
steady-state churn.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 14:37:36 -04:00
Cameron Cordes 3427c2916c Log 500-return paths in PATCH /image/faces/{id}
The four 500-return paths in update_face_handler returned e.to_string()
in the body but never logged. When a face PATCH failed with a 16-byte
body and no log entry, the cause (SQLITE_BUSY from cross-DAO writer
contention exhausting the 5s busy_timeout) was invisible. Surface the
full anyhow chain via {:#} on each path so the diesel cause is in the
log even when the response body only shows the top-level context.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 14:37:26 -04:00
cameron 6a3e37b7dc Merge pull request 'feature/split-main-rs' (#92) from feature/split-main-rs into master
Reviewed-on: #92
2026-05-12 17:02:06 +00:00
Cameron Cordes 9f8a69fc6d Split main.rs: extract watcher loop into src/watcher.rs
main.rs drops from 1200 → 346 lines (90% smaller than the pre-branch
3542). What's left is the startup wiring it was always meant to be:
.env, migrations, AppState construction, route registration, server
bind. The four background-loop functions move into src/watcher.rs:

- watch_files (310 lines) — quick/full scan tick, per-library probe,
  backfill drain dispatch, missing-file scan, back-ref refresh,
  orphan GC.
- process_new_files (351 lines) — file walk → EXIF write →
  face-candidate build → HLS / preview-clip queueing →
  reconciliation. The "biggest untested chunk" from the earlier
  audit.
- cleanup_orphaned_playlists (167 lines) — separate slower-tick
  thread.
- playlist_needs_generation — small mtime-comparison helper.

Plus 4 unit tests for playlist_needs_generation (covers missing
playlist, newer playlist, newer video, video-missing-metadata
fallback).

main.rs's imports correspondingly shrink — Addr, HashSet, WalkDir,
Utc, InsertImageExif, and the bulk of video::actors all leave with
the watcher. CLAUDE.md updated to reflect the new module layout
(layered architecture box + module map for the face-detection
section).

cargo test --bin image-api: 329 passing (no regression).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 12:54:37 -04:00
Cameron Cordes bdb69c7d37 Split main.rs: extract HTTP handlers into src/handlers/
main.rs drops from 2935 → 1200 lines, freed for startup wiring +
the watcher. The 16 route handlers move into three domain-grouped
files under src/handlers/:

- handlers/favorites.rs (128 lines): favorites, put_add_favorite,
  delete_favorite.

- handlers/video.rs (665 lines): generate_video, stream_video,
  get_video_part, get_video_preview, get_preview_status. The 5
  pre-existing get_preview_status integration tests move with the
  handler (still pass against TestPreviewDao + AppState::test_state).

- handlers/image.rs (1003 lines): get_image (with the
  hash/library-scoped/bare-legacy thumb lookup), upload_image,
  get_file_metadata, set_image_gps, get_full_exif, set_image_date,
  clear_image_date. Helpers (create_circular_thumbnail,
  build_metadata_response_for_date_mutation) and request structs
  (SetGpsRequest, SetDateRequest, ClearDateRequest, UploadQuery)
  travel with them.

main.rs's import block shrinks from ~50 lines to ~22 as everything
HTTP-specific (NamedFile, mp::Multipart, BytesMut, Span, KeyValue,
StreamExt, …) moves with the handlers. The is_video_file wrapper
also goes — remaining callers in watch_files / cleanup use
file_types::is_video_file directly.

cargo test --bin image-api: 325 passing (no regression).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 12:38:17 -04:00
Cameron Cordes bec9857426 Split main.rs: extract backfill drains and thumbnails into modules
main.rs drops from 3542 → ~2930 lines by moving:

- src/backfill.rs (new): backfill_unhashed_backlog,
  backfill_missing_date_taken, backfill_missing_content_hashes,
  build_face_candidates, process_face_backlog. Now unit-tested for
  the first time — 5 tests covering cap behavior, library-id
  filtering, missing-on-disk skip, and the video/unhashed/scanned
  filters on face-candidate selection.

- src/thumbnails.rs (new): unsupported_thumbnail_sentinel,
  generate_image_thumbnail, create_thumbnails, update_media_counts,
  is_image, is_video, plus the IMAGE_GAUGE / VIDEO_GAUGE Prometheus
  metrics. Replaces the no-op stubs that used to live in lib.rs.
  4 new unit tests for the sentinel path math and the
  walker-counts-images-vs-videos smoke path.

Supporting:
- SqliteExifDao::from_shared (test-only) so an SqliteExifDao and
  SqliteFaceDao can share one in-memory connection — required to
  test build_face_candidates against the real join.
- files.rs / video/{mod,actors}.rs import from crate::thumbnails::*
  instead of the now-removed stubs in lib.rs.

cargo test --bin image-api: 325 passing (was 314).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 12:22:02 -04:00
cameron 05ec5d0c70 Merge pull request 'feature/knowledge-curation' (#91) from feature/knowledge-curation into master
Reviewed-on: #91
2026-05-12 15:40:55 +00:00
Cameron Cordes e67e00ef8a knowledge: predicate-quality nudge + bulk-reject endpoint
Two coupled changes to fight the speech-act-predicate problem
(facts like (Cameron, expressed, "I'm tempted to...")):

1. System prompt grows an explicit predicate-quality rule. The
   agent is told to use relationship-shaped verbs (lives_in,
   works_at, attended, is_friend_of, interested_in), and is
   given an explicit DON'T list (expressed, said, mentioned,
   stated, quoted, noted, discussed, thought, wondered). Plus a
   concrete Bad / Good example contrasting the noise pattern
   with the structured paraphrase the agent should be writing.
   Stops the bleed for new insights.

2. Cleanup tools for the legacy noise that's already in the
   table:
   - get_predicate_stats(persona, limit) returns
     [(predicate, count)] sorted desc — feeds the curation UI's
     PREDICATES tab.
   - bulk_reject_facts_by_predicate(persona, predicate, audit)
     flips every ACTIVE fact under that predicate to 'rejected'
     in one transaction, stamping last_modified_* so the action
     is attributable + reversible per-fact through the entity
     detail panel. REVIEWED facts under the same predicate are
     left alone — the curator may have hand-approved an
     exception ("interested_in" might be largely noise but a
     reviewed entry is intentional).

New HTTP endpoints:
   GET  /knowledge/predicate-stats?limit=
   POST /knowledge/predicates/{predicate}/bulk-reject

Persona-scoped via the existing X-Persona-Id header.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 21:50:26 -04:00
Cameron Cordes fb078b4906 knowledge: normalize legacy entity_type values
One-shot migration that re-applies the synonym map from
`normalize_entity_type` over every existing row, so legacy
entries written before that helper landed in upsert_entity stop
needing client-side workarounds.

  person ← person | people | human | individual | contact
  place  ← place | location | venue | site | area | landmark
  event  ← event | occasion | activity | celebration
  thing  ← thing | object | item | product

Unknown types ("friend", "family", etc.) get a lowercase+trim
sweep so at minimum case variants collapse — the curator can
merge or rename them via the curation UI from there.

`UPDATE OR IGNORE` skips rows that would violate UNIQUE(name,
entity_type) after the rewrite (e.g. an existing ("Sarah",
"person") + ("Sarah", "Person") pair). The duplicate survives
unchanged so it can be merged through the normal curation flow
rather than silently disappearing.

Idempotent: every UPDATE is conditional on `entity_type !=
canonical`, so re-running the migration is a no-op. The down
migration is intentionally inert — we don't have per-row
history of the original strings and the rewritten values stay
semantically correct.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 21:42:51 -04:00
Cameron Cordes d123cde333 knowledge: entity-graph endpoint for force-directed view
New GET /knowledge/graph?type=&limit= returns the data the
curation UI's graph tab needs:
  - nodes = entities with at least one in-scope fact (rejected /
    superseded excluded). Carries fact_count for visual sizing.
    Top-N by count desc; default cap 200 (clamped 1..1000).
  - edges = relational facts (object_entity_id set) grouped by
    (subject, object, predicate) so 3 "is_friend_of" facts
    between the same pair collapse into one edge with count=3.

Two raw SQL queries: an INNER JOIN onto a persona-scoped fact-
count subquery for nodes (skips 0-fact entities entirely so the
sim doesn't waste time on disconnected islands), then a follow-
up GROUP BY over the persona-scoped fact set restricted to the
node id set via IN clauses (ids are i32 so inlining is safe).

Pairs with the Apollo-side GraphPanel that runs d3-force over
the returned payload and renders SVG with click-to-open.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 21:26:02 -04:00
Cameron Cordes 6dca0c027d fmt: cargo fmt sweep
No logic changes - line reflow, brace placement, and method-chain splits
across handlers / personas / state / faces / knowledge / insights_dao /
knowledge_dao / populate_knowledge. Picked up incidentally while running
fmt for the sms-search work.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 19:21:00 -04:00
Cameron Cordes 7329cc5ce7 insights: push sms search filters server-side, render snippets, expand fts5 docs
- Refactor search_messages_with_contact -> search_messages(query, &SmsSearchParams)
  exposing date_from / date_to / offset / is_mms / has_media; drop the over-fetch
  + client-side date post-filter that could silently drop in-window hits past
  position 100.
- Surface SMS-API's <mark>-wrapped snippet for MMS messages that only matched
  via message_parts_fts (attachment text / filename) - pre-snippet, those
  rendered as a blank body preview to the LLM.
- Expose is_mms / has_media on the search_messages tool schema; expand the
  FTS5 syntax docs with worked examples for phrase / prefix / boolean / NEAR
  / grouping so the model picks the right operator.
- Unit tests for format_search_hits (body fallback, snippet preferred, MMS
  attachment-only regression, empty-snippet fallback) and strip_mark_tags.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 19:20:19 -04:00
Cameron Cordes 6620fa48d7 knowledge: consolidation proposals endpoint
Finds near-duplicate entities the upsert-time cosine guard didn't
catch — typically legacy data from before that guard landed, or
pairs whose embeddings sit between 0.85 (default proposal floor)
and 0.92 (auto-collapse threshold). Pure read-side feature; the
actual merging still goes through the existing
/knowledge/entities/merge action.

New DAO method `find_consolidation_proposals(threshold,
max_groups)`:
  - Loads every non-rejected entity with an embedding.
  - Partitions by entity_type so a person can't cluster with a
    place.
  - Pairwise cosine, edges above threshold feed a union-find for
    transitive grouping (Sara → Sarah → Sarah J. all land in one
    cluster).
  - Tracks min/max cosine per component so the UI can show "how
    tight" each cluster is before clicking in.
  - Returns groups of >= 2 sorted by size desc then max cosine
    desc; trimmed to `max_groups`.

New endpoint `GET /knowledge/consolidation-proposals?threshold=
&limit=` accepts the threshold (clamped 0.5–0.99 to prevent the
"every entity in one mega-cluster" case) and returns groups with
per-entity persona fact-count breakdowns baked in — saves the UI
a separate query per cluster member.

ConsolidationGroup is exported through database/mod.rs so the
handler can use it without depending on knowledge_dao internals.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 18:43:11 -04:00
Cameron Cordes 89d0a6527c knowledge: per-entity persona breakdown for list + detail
Entities are global; facts are persona-scoped. Under the active
persona an entity can read as "0 facts" while having plenty under
other personas the user owns — the curation UI had no way to
surface that gap. Adds a batched DAO method
`get_persona_breakdowns_for_entities` that returns
{entity_id → [(persona_id, count)]} in one query (group by
subject + persona, user-scoped, status != rejected), and wires it
into both /knowledge/entities list rows and
GET /knowledge/entities/{id}.

EntitySummary grows an optional `persona_breakdown` field
(skipped on serialization when None — keeps PATCH responses
unchanged). EntityDetailResponse carries the breakdown as a
non-optional Vec since the detail endpoint always populates it.

One extra query per list page (50 entities → 50 subject ids
batched in one IN clause); single-entity GET adds one round trip.
Indexed by (subject_entity_id, persona_id) implicitly via the
existing user-persona indexes on entity_facts.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 18:29:20 -04:00
Cameron Cordes f200466508 knowledge: forbid markdown in synthesized merge descriptions
System prompt now explicitly enumerates the markdown forms the
model shouldn't emit (bold, italics, headings, bullets, lists,
code fences) on top of the existing "no preamble, no quotes"
constraints. Some local models default to markdown-shaped
output for descriptions and the curation UI is plain-text,
which would render the asterisks and hashes literally.

The output cleaning step picks up a parallel sweep: strip code
fences, leading bullets / headings, wrapping quotes, and naive
inline emphasis markers (** and __). Rare enough that the
plain-replace is fine; not trying to parse markdown.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 16:49:02 -04:00
Cameron Cordes afac02cade knowledge: synthesize-merge endpoint for LLM-curated descriptions
New POST /knowledge/entities/synthesize-merge { source_id,
target_id } that calls the local Ollama with both entities' names
+ descriptions and returns a synthesized merged-description draft.
Read-only on the database — the curation UI uses the response as
the editable seed in the merge picker; the actual merge still
requires a follow-up PATCH-target-description + POST /merge.

The handler drops the KnowledgeDao lock before the LLM call so
other knowledge reads aren't blocked while generation runs
(typically seconds). Failure mode is 503 with an explicit hint
that the UI should fall back to skip-synthesis — keeps the merge
action working when the model is offline.

Output is lightly cleaned (leading "Merged description:" /
surrounding quotes stripped) since small models reach for those
patterns even with explicit "no preamble" guidance. Heavier
parsing isn't worth it — the curator edits anyway.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 16:37:26 -04:00
Cameron Cordes fd4dd89bbb knowledge: agent self-correction with audit + per-persona gate + revert
Bundles three coupled changes so agent-side mutations stay
auditable and reversible:

1. Audit columns on entity_facts —
   `last_modified_by_model` / `last_modified_by_backend` /
   `last_modified_at`. Stamped on every mutation path
   (update_fact, supersede_fact, manual PATCH, manual supersede,
   the new revert). NULL on rows never touched since creation.
   Partial index on `last_modified_at WHERE NOT NULL` keeps the
   "show me recent edits" feed fast without bloating from legacy
   rows.

2. Per-persona gate `personas.allow_agent_corrections` (BOOLEAN,
   default 0). Defense in depth at two layers:
   - build_tool_definitions: when off, `update_fact` and
     `supersede_fact` aren't in the catalog at all, so even a
     hallucinated tool call by the model fails fast.
   - tool_update_fact / tool_supersede_fact: re-checks the persona
     flag at call time and returns an explicit "corrections
     disabled" error if it's somehow off (e.g. flag flipped mid-
     loop).
   ToolGateOpts grows the flag; current_gate_opts splits into
   `current_gate_opts` (no persona context, defaults closed) +
   `current_gate_opts_for_persona` for chat callers that have a
   persona id. Both call sites in insight_chat are updated.

3. Revert action — new DAO method `revert_supersession` +
   `POST /knowledge/facts/{id}/restore`. Flips status back to
   'active', clears `superseded_by`, clears `valid_until` (we
   don't track whether it was hand-set vs auto-stamped, so the
   safe reset is to drop it — user can re-bound after). Stamps
   `last_modified_*` so the revert itself is attributable.

Manual paths (PATCH / supersede via HTTP, plus restore) stamp the
audit columns with `("manual", "manual")`. Agent paths stamp the
loop-time chat model and backend (mirroring the existing
created_by_* convention).

FactDetail in the HTTP response now carries the audit triple
alongside the existing provenance. Apollo wires the new field set
in the matching commit.

PersonaView / UpdatePersonaRequest grow `allowAgentCorrections`;
the PersonaPatch + InsertPersona + bulk_import paths thread it.

317 lib tests pass, including unchanged update_fact / supersede
DAO tests (now passing audit=None — None means "no provenance
context to attribute", legacy semantics).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 20:56:56 -04:00
Cameron Cordes 86c331571d knowledge: per-persona reviewed-only mode + agent reads include reviewed
Two coupled changes to the agent's recall surface:

1. Default scope expanded. recall_facts_for_photo and recall_entities
   used to filter to status='active' only — which silently dropped
   'reviewed' (human-verified) facts. Now they surface active +
   reviewed by default. Reviewed is strictly more trusted than
   active and shouldn't have been hidden. Rejected and superseded
   stay filtered.

2. New persona toggle `reviewed_only_facts` (BOOLEAN, default false,
   migration 2026-05-10-000400). When set, the agent's recall on
   that persona returns ONLY facts with status='reviewed' — strict
   mode for tasks where hallucinated agent claims are particularly
   costly. Wired:
   - schema.rs / Persona / InsertPersona / PersonaPatch grow the
     field.
   - PersonaView returns it as `reviewedOnlyFacts` (camelCase wire).
   - PUT /personas/{id} accepts it (mobile editor surfaces it).
   - InsightGenerator now carries a PersonaDao reference so
     recall_facts_for_photo can read the active persona's flag at
     start; one extra read per recall, cheap.

Composes with include_all_memories: that operates on the persona
*scope* axis (single vs hive), reviewed_only_facts on the *status*
axis. They're orthogonal.

Legacy persona rows pick up the default false on migration; no
behavior change unless explicitly toggled. The 4 existing persona
construction sites (one production, two tests, one InsertPersona in
knowledge_dao tests) all default the field. populate_knowledge bin
+ state.rs constructors also wire the new persona_dao arg.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 20:21:39 -04:00
Cameron Cordes f53338923d knowledge: stamp model + backend on facts for audit
Adds two nullable TEXT columns to entity_facts —
`created_by_model` (LLM identifier) and `created_by_backend`
("local" / "hybrid" / "manual" / NULL) — so the curator can audit
which configurations produce good fact-keeping and which produce
noise.

photo_insights already carries model_version + backend, and
entity_facts.source_insight_id links to it, but:
  - source_insight_id is set post-loop, so chat-continuation and
    regenerated-insight facts lose the link.
  - JOINing per read is more friction than embedding provenance on
    the row itself.
  - Manual facts (POST /knowledge/facts) have no insight at all and
    need their own "manual" provenance marker.

Threading: execute_tool grows `model` + `backend` params, passed
from the three call sites (agentic insight loop, chat single-turn,
chat stream) using the loop-time `chat_backend.primary_model()` +
`effective_backend` already in scope. tool_store_fact stamps the
new fact accordingly; manual create_fact stamps backend="manual".
Legacy rows leave both NULL — pre-tracking data can't be back-
filled reliably from training_messages without burning compute.

Indexes are partial (WHERE NOT NULL) so legacy rows don't bloat
them, and "show me all facts from model X" stays fast.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 20:05:14 -04:00
Cameron Cordes 85f3716379 knowledge: fact supersession + photo-date valid_from
Two Phase-2 followups in one commit since they're coupled at the
write path:

* Agent populates valid_from from the source photo's date_taken
  when calling store_fact. Loose semantics — date_taken is *evidence
  at that date*, not strictly when the fact started being true — but
  gives the curator a calendar anchor and pairs with supersession to
  close intervals cleanly. valid_until stays NULL (a single photo
  can't tell us when something stopped). Honours the existing
  upsert_fact dedup (corroborated facts keep their first-recorded
  valid_from).

* Supersession: new column entity_facts.superseded_by INTEGER
  (migration 2026-05-10-000200), new status value 'superseded',
  new DAO method supersede_fact, new HTTP endpoint
  POST /knowledge/facts/{id}/supersede.

  Marking an old fact as replaced by a new one atomically: flips
  status to 'superseded', sets superseded_by, and stamps
  valid_until from the new fact's valid_from (when not already
  set). delete_fact clears dangling supersession pointers in the
  same transaction so the column never points at a missing row —
  no FK because SQLite can't ALTER ADD with REFERENCES, but the
  DAO maintains the invariant.

Pairs with conflict detection from the previous slice: once the
old fact's valid_until is closed, its interval no longer overlaps
the new fact's, so they stop flagging — the supersede action
resolves the conflict.

Two tests pin the contract: supersede stamps valid_until from
new.valid_from while respecting an existing valid_until, and
deleting the supersedeR clears the dangling pointer while leaving
the old fact's 'superseded' status in place for history.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 19:47:06 -04:00
Cameron Cordes 01f5ad7527 knowledge: valid-time on facts + interval-aware conflict detection
Adds bitemporal support to entity_facts. Existing `created_at` is
transaction time (when we recorded the fact); the new
`valid_from` / `valid_until` BIGINT columns are valid time (when the
fact is/was true in the real world). NULL on either side = unbounded
on that side, both NULL = "always-true / unknown" — matches the
default state of every legacy row, no backfill needed.

The split matters for time-bounded predicates like
is_in_relationship_with / lives_in / works_at: recording the fact
once doesn't mean the relationship is still ongoing. Same predicate
across different windows ("lives_in NYC 2018-2020", "lives_in SF
2020-present") is no longer a conflict — the interval-aware check
in get_entity only flags pairs whose windows overlap. Facts with no
valid-time data still flag against everything (worst case for legacy
rows — user adds dates to suppress).

API surface:
- POST /knowledge/facts accepts optional valid_from / valid_until.
- PATCH /knowledge/facts/{id} accepts both with tri-state semantics:
  field omitted = leave alone, JSON null = clear to NULL, number =
  set. Implemented via a small serde helper around Option<Option>.
- GET /knowledge/entities/{id} surfaces both fields per fact and
  uses them in conflict detection.

Agent path (insight_generator) writes NULL/NULL for now — deriving
valid_from from the source photo's date_taken is slated for a
follow-up agent tool alongside Phase 2's supersession.

Test pins set + clear semantics via update_fact: setting both
bounds, leaving them alone on a subsequent patch, then clearing
valid_until back to NULL.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 19:25:55 -04:00
Cameron Cordes bcd5312953 knowledge: detect same-predicate object conflicts at read time
GET /knowledge/entities/{id} now flags facts as `in_conflict` when
another active fact shares the same predicate but disagrees on the
object (entity id or text value). Pure read-time computation in the
handler — group facts by predicate, distinct-object count > 1 flags
all members. No schema change; same shape as `is_current` on photo
insights.

The flag is intentionally a *signal*, not a hard constraint. Some
predicates are legitimately multi-valued (friend_of, tagged_in,
appears_in) — the curator UI surfaces the amber accent and lets the
user reject the stale fact, accept both, or supersede one later
once the supersession column lands.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 19:14:58 -04:00
Cameron Cordes 0b8478a5e4 knowledge: list sort + persona-scoped fact_count per entity
Two related additions to /knowledge/entities:

- New EntitySort enum (UpdatedDesc default, NameAsc, FactCountDesc)
  surfaced via `?sort=updated|name|count`. NameAsc clusters near-
  duplicate names so dupes stand out at a glance; FactCountDesc
  surfaces heavily-used entities and demotes 0-fact noise to the
  bottom.

- New `list_entities_with_fact_counts` DAO method that returns each
  entity alongside a persona-scoped count of its non-rejected facts
  (subject side). Persona scope follows X-Persona-Id via the
  existing resolve_persona_filter chain — Single filters on
  (user_id, persona_id), All unions across the user's personas.
  Implemented as one raw SQL query with a LEFT JOIN to a fact-count
  subquery and ORDER BY tied to the chosen sort, so count-sort needs
  no second round trip.

The agent's existing list_entities call site is unchanged — it
doesn't need persona-scoped counts and the trait method stays cheap.
EntitySummary grows an Option<i64> fact_count (skip_serializing_if
none) so PATCH responses stay shaped as before.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 16:04:13 -04:00
Cameron Cordes 0e2b18224f knowledge: pre-delete relational facts so entity delete succeeds
DELETE /knowledge/entities/{id} was 500ing on any entity that was the
object of a relational fact. entity_facts.object_entity_id has
ON DELETE SET NULL, but the table also has
CHECK (object_entity_id IS NOT NULL OR object_value IS NOT NULL) —
purely relational facts (subject + predicate + object_entity_id, no
object_value, like "Alice is_friend_of Bob") would have both NULL
after SET NULL fired, the CHECK would abort, and the whole DELETE
would fail with a CHECK violation. The user just saw QueryError
because the DAO swallowed the diesel error string.

Wrap delete_entity in a transaction that first deletes facts where
the entity is the object AND object_value is null, then deletes the
entity. Surviving siblings (typed facts about the entity as subject)
are CASCADE'd by the FK as before. Also start surfacing the actual
diesel error in a warn log before collapsing to DbErrorKind so future
similar issues don't masquerade as the opaque QueryError.

A schema-level fix (changing object FK to ON DELETE CASCADE via a
table-rebuild migration) is the cleaner long-term resolution and is
slated for Phase 2; the DAO-side pre-delete is sufficient and less
invasive in the meantime.

Test pins the contract: a relational fact pointing at the deleted
entity is removed, an unrelated typed fact about an unrelated entity
survives, and the entity itself is deleted.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 15:44:38 -04:00
Cameron Cordes f7ce3d2b22 knowledge: include library_id in photo_links response
The PhotoLinkDetail in /knowledge/entities/{id} was dropping the
library_id field, leaving consumers no way to construct a
content-routed thumbnail URL. Apollo's curation screen was falling
through to library=0 (the FastAPI default) and getting 400s.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 15:19:37 -04:00
Cameron Cordes d7aee4f228 knowledge: cosine dedup, fact create endpoint, recall nudge
Phase 1 of the knowledge curation work. Three small server-side changes
to support an Apollo-side curation surface and reduce the agent's near-
duplicate output rate going forward:

- upsert_entity grows an embedding-cosine fallback after the exact name
  match misses. New entities whose embedding sits above
  ENTITY_DEDUP_COSINE_THRESHOLD (default 0.92) against any same-type
  active entity collapse onto the existing row. Eliminates the Sarah /
  Sara / Sarah J. trio the FTS5 prefix check was missing.
- POST /knowledge/facts symmetric with the existing PATCH/DELETE so the
  curation UI can create facts directly. Persona-scoped via X-Persona-Id;
  validates subject (and optional object) entity existence; reuses
  KnowledgeDao::upsert_fact so corroboration semantics match the agent
  path.
- One sentence in build_system_content telling the agent to call
  recall_entities before store_entity when a name resembles something
  already known. Cheap; complements the DAO-layer guard.

Includes upsert_entity_collapses_near_duplicate_by_embedding test
covering both the collapse-on-near-match path and the don't-collapse-on-
unrelated-embedding path.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 15:16:05 -04:00
cameron 827a78dd79 Merge pull request 'feature/persona-fk-and-guard' (#90) from feature/persona-fk-and-guard into master
Reviewed-on: #90
2026-05-10 18:42:27 +00:00
Cameron Cordes 08a5f46be1 chat: scope insight lookup by library_id to fix regen-shadow bug
When a photo exists in more than one library and the user
regenerates its insight from library A's chat, the regenerate
streams cleanly, store_insight flips library A's old row to
is_current=false, and inserts a new is_current=true row tagged
(library A, rel_path). On the next history fetch the user sees
their old transcript — the regenerate appears to vanish.

The cause: get_insight(file_path) filters on rel_path + is_current
only, so library B's untouched is_current=true row for the same
rel_path satisfies the query and gets returned by SQLite's .first()
ahead of A's new row. Because get_insight is also what
chat_turn_stream uses to decide bootstrap vs. continuation, the
next chat turn after the shadow hit also routes against the
wrong insight, so update_training_messages corrupts library B's
transcript with library A's chat.

Fix: add get_current_insight_for_library(library_id, file_path)
filtered on (library_id, rel_path, is_current=true) and route the
chat surface (load_history, chat_turn{,_stream}, rewind_history)
through it. load_history falls back to the cross-library
get_insight when the scoped lookup misses — preserves the
"scalar data merges across libraries" intent for the case where
the active library has no insight but another does. The path-only
get_insight stays for callers that don't have library context
(populate_knowledge, the photo-grid metadata fetch).

chat_history_handler stops dropping the parsed library on the
floor and threads it through. Single-library deploys see no
behaviour change.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 14:03:41 -04:00
Cameron Cordes b9d9ba0320 chat: route search_messages({date}) to get_sms_messages
When the LLM calls search_messages with { date, limit } and no
query, it's making the predictable mistake of conflating the two
"messages"-shaped tools. The previous behaviour returned an error
that pointed it at get_sms_messages — correct, but burning a turn
on the misroute. Long photo-chat threads where the user asks
"what was happening that weekend?" hit this on small models
roughly half the time.

Now the date-string-without-query case transparently dispatches
to get_sms_messages with the same args (date / limit / days_radius
/ contact name all pass through unchanged) and prepends a short
"(Note: routed to get_sms_messages — prefer it directly next time)"
to the result. The model sees real data on its first try while
still learning the right tool for next time. Cases that don't have
a get_sms_messages equivalent (numeric contact_id, or start_ts /
end_ts windows) keep the original error so the model knows to
either supply a query or restructure its call.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 13:48:13 -04:00
Cameron Cordes fbd769e475 personas: composite FK + built-in update guard
Two persona-infrastructure correctness fixes that go together because
the second one (FK with CASCADE) requires the first (preventing the
persona row from being mutated out from under its facts).

1. update_persona handler refuses name/systemPrompt edits to built-ins
   (409). includeAllMemories stays editable — that's a per-user
   preference, not the persona's identity. Mirrors the existing
   delete_persona guard. The DAO is intentionally permissive so the
   guard sits at the HTTP layer; persona_dao test pins that contract.

2. Migration 2026-05-10 adds user_id to entity_facts and a composite
   FK (user_id, persona_id) -> personas(user_id, persona_id) ON DELETE
   CASCADE. This closes two issues at once:

   - Persona orphans: deleting a custom persona used to leave its
     facts dangling forever, readable only via PersonaFilter::All.
     CASCADE now wipes them with the persona row.

   - Multi-user fact leakage: PersonaFilter::Single("default") used
     to surface every user's default-scoped facts. PersonaFilter is
     now { user_id, persona_id } and all read paths
     (get_facts_for_entity, list_facts, get_recent_activity) filter
     on user_id first. upsert_fact's dedup key extends to user_id so
     identical claims under shared persona names from different
     users no longer corroborate-bump each other's confidence.

   - user_id threads from Claims.sub.parse::<i32>().unwrap_or(1) at
     the chat / insight handlers through ChatTurnRequest, the
     streaming agentic loop, execute_tool, and into the leaf tools
     (tool_store_fact, tool_recall_facts_for_photo). The ".unwrap_or(1)"
     accommodates Apollo's service token whose sub is non-numeric on
     legacy mints.

   - Backfill picks the smallest user_id matching each legacy fact's
     persona_id so the FK holds for already-stored rows.

Five new knowledge_dao tests with FK-on connection: persona scoping
isolation, All-variant union per-user, dedup not crossing users,
CASCADE delete, FK rejection of unknown personas. Plus
dao_update_does_not_block_built_ins documenting where the
HTTP-layer guard lives.

Apollo coordinates separately — the matching changes there add the
/api/personas proxy and start sending persona_id on photo-chat turns.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 13:30:35 -04:00
cameron 79a1168724 Merge pull request 'faces: add person_id filter to /faces/embeddings; remove tag-bootstrap' (#89) from feature/faces-tab into master
Reviewed-on: #89
2026-05-10 15:49:18 +00:00
Cameron Cordes a079065ae9 faces: add person_id filter to /faces/embeddings; remove tag-bootstrap
Pairs with the Apollo FACES-tab change. The new
POST /api/persons/{id}/similar-unassigned route on Apollo needs to
fetch one person's embeddings cheaply to compute the centroid;
adding a person_id query param to /faces/embeddings keeps that to a
single round-trip instead of paging the whole detected set
client-side. When both person_id and unassigned=true are supplied,
person_id wins (the explicit filter is the more specific intent).

Tag-bootstrap removal: bootstrap_candidates_handler,
bootstrap_persons_handler, /persons/bootstrap and
/tags/people-bootstrap-candidates route registrations, and the
heuristic helpers (is_plausible_name_token, looks_like_person) plus
their tests. Only Apollo called these; the migration is complete.
The persons.created_from_tag column stays - it's informational on
existing rows and removing it would be a destructive migration for
no benefit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 11:30:37 -04:00
cameron 25233904aa Merge pull request 'personas: elevate to server with per-persona fact scoping' (#88) from feature/persona-knowledge-segmentation into master
Reviewed-on: #88
2026-05-10 03:44:26 +00:00
cameron 8c377324a1 Merge pull request 'video: handle unknown/short durations in thumb + preview gen' (#87) from fix/video-thumb-preview-edge-cases into master
Reviewed-on: #87
2026-05-10 03:12:58 +00:00
Cameron Cordes 5476ed8ac4 video: handle unknown/short durations in thumb + preview gen
`get_duration_seconds` now returns `Option<f64>` and falls back from
`format=duration` to `stream=duration`. Empty stdout no longer
parse-panics with "cannot parse float from empty string", which was
poisoning the preview-clip row with status=failed and re-queueing every
full scan (notably for GoPro LRV files). `generate_preview_clip` handles
the unknown-duration case by transcoding the whole file (capped at 10s).

`generate_video_thumbnail` seeks to ~50% of the probed duration instead
of a hardcoded `-ss 3`, with a first-frame fallback when the probe
returns nothing. Fixes the loop where short Snapchat clips (<3s) got
"missing thumbnail" logged on every scan because ffmpeg exited 0
without writing a frame, and never wrote the .unsupported sentinel
either.

Adds unit tests for `parse_ffprobe_duration` covering the empty-output,
N/A, multi-line, non-positive, and non-finite cases.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-09 23:08:16 -04:00
cameron 7350f1916a Merge pull request 'fix/manual-date-update' (#86) from fix/manual-date-update into master
Reviewed-on: #86
2026-05-10 02:53:20 +00:00
Cameron Cordes 9871c685b4 date-override: cargo fmt
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-09 21:23:11 -04:00
Cameron Cordes 108bbeb029 date-override: union semantics across libraries + slash forms
The date-override path used to look up `image_exif` strictly by
`(library_id, rel_path)` with only the forward-slash form, while
`/image/metadata`'s `get_exif` falls back across libraries and tries
both slash forms. A photo whose row sat under a different library_id
than its filesystem-resolved one — or whose rel_path was stored with
backslashes — rendered fine in the modal but 404'd on save.

`set_manual_date_taken` / `clear_manual_date_taken` now share a
`locate_image_exif_row` helper that mirrors `get_exif`'s union
semantics (scoped lookup first, library-agnostic fallback by rel_path
in both slash forms), then update by primary key so the write hits
exactly the row read. Inner anyhow errors are logged with
`(library_id, rel_path)` so the next failure mode is debuggable.

Handler-side: `resolve_library_param` errors no longer silently fall
back to the primary library (which would have masked the original bug
with a different "row not found"); a malformed library param now
returns 400. New `DbErrorKind::NotFound` lets the handler distinguish
genuine misses (404) from real DB failures (500).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-09 21:21:25 -04:00
Cameron Cordes 3e2f36a748 personas: elevate to server with per-persona fact scoping
Move personas off the mobile client into ImageApi as first-class
records, and scope entity_facts by persona so each one builds its own
voice over a shared entity graph. The new include_all_memories flag
lets a persona opt back into the full hive-mind pool for human
browsing of /knowledge/*; agentic generation always stays in-voice.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-09 17:59:20 -04:00
cameron 55a986c249 Merge pull request 'feature/streaming-insights' (#85) from feature/streaming-insights into master
Reviewed-on: #85
2026-05-09 20:57:16 +00:00
cameron c52a646be2 Merge pull request 'memories: restore early-era Snapchat unix-epoch filenames' (#84) from feature/snapchat-early-era-dates into master
Reviewed-on: #84
2026-05-08 20:23:35 +00:00
Cameron Cordes d32a7d7c3a memories: restore early-era Snapchat unix-epoch filenames
The recent blanket "snapchat-" prefix denylist (43f8f83) rejected ALL
Snapchat-prefixed filenames from timestamp parsing, which fixed the
sequential-ID false positives but also broke real unix-second
filenames from Snapchat's early era. `Snapchat-1383929602.jpg`
(2013-11-08 16:53:22 UTC) now falls through to fs_time — and on files
with broken filesystem metadata, fs_time pins to 1970.

Replace the blanket prefix denial with a tighter discriminator:
  - exactly 10 captured digits AND timestamp >= 2011-09-23 (Snapchat
    launch) → real unix epoch, accept
  - any other length under this prefix → sequential ID, reject

This keeps the existing rejections intact:
  Snapchat-1021849065.mp4          → 10 digits, 2002 < launch → reject
  Snapchat-1751031586660373917.jpg → 19 digits truncates to 16 → reject
And restores the regression case:
  Snapchat-1383929602.jpg          → 10 digits, 2013 ≥ launch → accept

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 16:22:57 -04:00
Cameron Cordes 3699e059a2 insight-chat: include Date taken + GPS in bootstrap photo context
The bootstrap system message gave the model a file path and (in
hybrid mode) a visual description, but no temporal anchor. Models
defaulted to today's date when calling get_sms_messages — Nov 2014
photos were getting "2024-03-11" passed as `date`, missing every
historical message and leading the model to confidently misreport
context.

This commit folds two more EXIF-sourced facts into the
--- PHOTO CONTEXT --- block:

  Date taken: <YYYY-MM-DD or "unknown">
  GPS: <lat, lon to 4dp>           (omitted when no GPS)

Resolution waterfall for date_taken matches the documented canonical
date pipeline at the EXIF / filename steps, but intentionally stops
short of the fs-time fallback `generate_agentic_insight_for_photo`
uses — for chat we'd rather show "unknown" than mislead the model
with an inode mtime. GPS is taken straight from EXIF when both
lat/lon are populated; absent GPS suppresses the line entirely so
the model doesn't hallucinate coordinates.

InsightGenerator gains a `fetch_exif(file_path)` accessor (crate-
visible) so the chat service doesn't need its own ExifDao plumbing.

build_bootstrap_system_message picks up two new params (date,
gps); existing tests updated and 5 new tests cover:
- date present / absent / waterfall (EXIF wins, filename fallback,
  None when neither source has it)
- GPS present / absent
- ordering (path → date → visual)

Total insight_chat unit tests: 33 (up from 27).
2026-05-08 11:14:39 -04:00
Cameron Cordes a0ec1a5080 insight-chat: photo context belongs in system msg, not user turn
After refresh, the rendered transcript was showing two unwanted
artifacts in the initial user bubble:

  Photo file path: pics/DSC_5171.jpg
  please tell me about this photo and what was going on around it

  Please write your final answer now without calling any more tools.

Two distinct bugs:

1. Bootstrap was prepending `Photo file path: <path>` (and, in
   hybrid mode, the visual description block) into the user-turn
   content. The model needed it to call file_path-keyed tools, but
   the user could see it in their own bubble on replay.

2. The no-tools fallback ("Please write your final answer now…")
   was a synthetic user message we never stripped from history,
   so it persisted into training_messages, rendered as a second
   user bubble, AND wiped the prior tool-call accumulator inside
   load_history (user-turn handler clears pending_tools), which
   is why the tool invocations disappeared from the assistant
   bubble after refresh.

Fixes:

- New `build_bootstrap_system_message` helper composes the persona
  with a `--- PHOTO CONTEXT ---` block (path + optional visual
  description). Lives in the system message, not the user turn.
  The user's bubble shows only what they typed.
- Streaming agentic loop's no-tools fallback now records its
  insertion index and removes the synthetic user prompt from
  `messages` after the model responds. Final assistant content
  stays — it reads coherently on replay without the synthetic
  prompt above it. Applies to both bootstrap and continuation.

3 new tests cover the system-message composer (path-only, with
visual block, persona-trim). Total insight_chat unit tests: 27.
2026-05-08 11:07:03 -04:00
Cameron Cordes 24ecf2abd4 insight-chat: prepend Photo file path: <path> to bootstrap user turn
Bug: bootstrap user_content was just the user's typed message (plus
the hybrid visual description). Tools that take a file_path arg —
recall_facts_for_photo, get_file_tags, get_faces_in_photo — had no
way to learn the canonical path. Small models would invent
placeholders like "input_file_0.png" or call the tool with a name
guessed from a hidden multimodal input handle, neither of which
matched any real photo.

Fix: prepend a single-line "Photo file path: <normalized>\n\n" block
to user_content. Same shape generate_agentic_insight_for_photo
already uses for non-chat callers — kept the bootstrap minimal
(no date / GPS / tags pre-stuffing; the agentic loop can fetch
those via tools when needed).

Hybrid still injects the visual description block between the path
block and the user message; local mode just gets path + user text.
2026-05-08 10:59:35 -04:00
Cameron Cordes a29ff406a1 insight-chat: extract bootstrap resolution helpers + unit-test them
resolve_bootstrap_system_prompt and resolve_bootstrap_backend run on
every bootstrap turn — they pick the persisted system prompt and the
chosen backend label. They were inline conditionals before; pulling
them out makes the rules testable without spinning up the full
streaming stack.

9 new tests cover:
- system prompt fallback to BOOTSTRAP_DEFAULT_SYSTEM_PROMPT for None,
  empty string, whitespace-only
- supplied non-empty prompts pass through verbatim, with interior
  newlines / spacing preserved (Apollo personas use multi-line tool
  listings)
- backend defaults to "local" for None / empty
- "local" / "hybrid" accepted case-insensitively with edge-trim
- unknown labels return a descriptive error

Total insight_chat tests: 24 (up from 15). No behaviour change.
2026-05-08 10:56:22 -04:00
Cameron Cordes 928efe49f9 insight-chat: bootstrap insight on first Discuss message + regenerate flag
Tap-Discuss-on-no-insight previously failed silently: ImageApi's
/insights/chat/stream required an existing agentic insight, errored
when missing, and emitted the failure as `event: error` — which the
frontend SSE consumer ignored (it listens for `error_message`).

This commit closes both gaps with a server-side state machine:

- /insights/chat/stream now branches on insight presence. Missing
  insight (or `regenerate: true` in the body) → bootstrap path:
  builds [System(req.system_prompt), User(req.user_message + image)],
  runs the agentic loop, generates a title, persists a new row via
  store_insight (which auto-flips priors). Existing insight →
  continuation path (unchanged behaviour).
- New `regenerate: bool` request field forces bootstrap even when an
  insight exists. Takes precedence over `amend`.
- `done` SSE payload field-name alignment with Apollo's frontend
  convention: prompt_eval_count → prompt_tokens, eval_count →
  eval_tokens, num_ctx echo added.
- `amended_insight_id` semantics broaden — now populated whenever the
  turn produced a new row (bootstrap, regenerate, or amend). Existing
  amend clients keep working unchanged; new clients get the new row's
  id for free.
- `event: error` → `event: error_message` so frontend errors stop
  silently dropping.

Refactor: extracted run_streaming_agentic_loop, build_chat_clients,
and generate_title as shared helpers between bootstrap and
continuation. Continuation path's outer logic moves to
run_continuation_streaming with no behaviour change.

Mobile-ready: any client (Apollo backend, mobile, future) sends one
request to /insights/chat/stream and gets the right path. Apollo's
proxy stays a dumb pipe.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 10:41:50 -04:00
cameron bdafd39546 Merge pull request 'feature/insight-chat-improvements' (#83) from feature/insight-chat-improvements into master
Reviewed-on: #83
2026-05-07 22:19:12 +00:00
Cameron Cordes 8bd1a85070 insight-chat: cargo fmt sweep on the get_faces_in_photo additions
Single-line dao lock + reordered faces import. No logic changes.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 17:53:31 -04:00
Cameron Cordes 6f0c15d0c5 insight-chat: code-review polish on get_faces_in_photo
- Drop redundant `use anyhow::Context` inside has_any_faces (already
  imported at the module level).
- Drop dead `.unwrap_or("?")` on bound faces — the vec is filtered to
  is_some() so the fallback can never fire.
- Reorder the face_dao constructor param + initializer to match the
  struct declaration (between tag_dao and knowledge_dao). Update both
  state.rs call sites and populate_knowledge.rs to match.
- Hold face_dao lock once across the library-resolver loop instead of
  reacquiring per iteration.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 17:48:22 -04:00
Cameron Cordes b64a5bec28 insight-chat: add get_faces_in_photo agentic tool
The LLM had no path to see face_detections data — get_file_tags
returns user-applied tags, but a face that's been detected and bound
to a person via the embedding-cluster auto-bind path doesn't always
have a matching tag. The new tool joins face_detections with persons
by content_hash and returns bound names + bboxes, plus unidentified
faces (so smaller models can count people in the photo without
inferring from a visual description).

Gated on face_detections being non-empty via the same has_any_*
pattern as daily_summaries.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 17:43:16 -04:00
Cameron Cordes 388eb22cd2 Remove full plan file, just keep spec 2026-05-07 17:29:04 -04:00
Cameron Cordes eef41d4172 thumbnails: align video ffmpeg args with the image path so non-yuvj420p sources work
The bare 'ffmpeg -ss 3 -i in -vframes 1 -f image2 out' command failed on
sources whose decoded pix_fmt isn't yuvj420p (e.g. older Samsung phone
videos in yuv420p). With no -vf filter chain, the decoded frame goes
straight to the mjpeg encoder, which rejects it with 'Non full-range
YUV is non-standard' and exits non-zero.

generate_image_thumbnail_ffmpeg already handles the same class of
source for HEIC/RAW by adding -vf scale=200:-1 -c:v mjpeg — the filter
chain lets ffmpeg auto-insert the pix_fmt converter the encoder needs.
Adopt the same args here. Side benefit: video thumbnails are now 200px
wide on disk, matching image thumbnails (previously full-resolution).

Pre-existing .unsupported sentinels for videos that hit this failure
will need to be deleted manually to retry — they're under
$THUMBNAILS/<lib_id>/.../*.unsupported.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 17:20:05 -04:00
Cameron Cordes b42acbb3f3 fmt: cargo fmt sweep across drifted files
No behavior change — purely whitespace/line-break cleanup that had
accumulated since the last format run.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 16:42:41 -04:00
Cameron Cordes 2a273a3ed9 thumbnails: stop video failures from re-logging every watcher tick
generate_video_thumbnail used .output().expect(...), which only catches
spawn failure — non-zero ffmpeg exits were silently discarded. With no
thumbnail and no .unsupported sentinel left behind, the watcher
re-detected the file as missing every quick-scan tick and re-logged
"New file detected (missing thumbnail)" forever.

Mirror the image branch: return io::Result, check status.success(),
and write the sentinel from create_thumbnails on failure.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 16:41:24 -04:00
Cameron Cordes a8433c2e01 insight-chat: document the new system_prompt field in CLAUDE.md
Add system_prompt to the /insights/chat body schema with a one-paragraph
note on the append-vs-amend semantics so future readers find the
contract alongside the rest of the chat-continuation docs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 15:26:32 -04:00
Cameron Cordes 1cdc0f6eb9 insight-chat: drop the dead SmsApiClient::search_messages wrapper
The post-PR-4 delegation kept it as a convenience for callers that
don't filter by contact, but nothing actually uses it. Delete to clear
the dead_code warning. search_messages_with_contact remains as the
single entry point.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 15:10:31 -04:00
Cameron Cordes e539c083c9 insight-chat: code-review polish on the tool-gating PR
- search_messages now delegates to search_messages_with_contact(.., None)
  so the two methods share a single HTTP path. Drops the dead-code
  warning and the ~30-line duplication.
- DailySummaryDao gains has_any_summaries (LIMIT 1 existence probe)
  used by current_gate_opts; the SELECT COUNT(*) get_total_summary_count
  added in the prior commit is removed (it had no other caller).
- current_gate_opts doc comment corrected to describe what the probes
  actually do.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 15:07:57 -04:00
Cameron Cordes f50d32667b insight-chat: ToolGateOpts + per-tool description rewrites
Tools whose backing tables are empty (calendar, location_history,
daily_summaries) drop out of the catalog so the LLM doesn't waste
iteration budget calling them only to receive "no results found".
Vision and apollo gates already existed; this generalizes the pattern.

search_messages gains start_ts/end_ts/contact_id filters (date filter
is a client-side post-filter; SMS-API only accepts contact_id natively
on the search endpoint).

Descriptions follow a consistent convention: one sentence (what +
when), param semantics, examples for tools with non-obvious param
choices. No more all-caps headers, no more identity-prescriptive
language inside descriptions.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:56:58 -04:00
Cameron Cordes b02da0d0cc insight-chat: code-review polish on the days_radius fix
- Bind effective_radius once in fetch_messages_for_contact so the log
  output and window math share a single source of truth for the clamp.
- Clamp tool-supplied days_radius to [1, 30] at the tool boundary so a
  runaway LLM value can't produce a thousand-day window.
- Split the negative-input test into a real negative-input case
  alongside the zero-input case.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:47:46 -04:00
Cameron Cordes 659e7bd973 insight-chat: get_sms_messages tool now honors days_radius
The agentic tool definition advertised a days_radius parameter but
sms_client::fetch_messages_for_contact was hardcoded to ±4 days,
silently ignoring whatever value the LLM chose. Plumb the parameter
through; default 4 retained at the tool level for back-compat.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:42:42 -04:00
Cameron Cordes 428f24b0f8 insight-chat: code-review polish on the chat system_prompt override
- Trim the override input once via Option::map(str::trim).filter(...).
- Use matches!() in restore_system_prompt_override's Prepended arm so
  it reads consistently with the Replaced arm.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:40:04 -04:00
Cameron Cordes faa289882f insight-chat: per-turn system_prompt override on chat continuation
Append mode: applied ephemerally — original system message restored
before persistence so re-opens see the baked persona. Amend mode:
override stays in place and becomes the new insight row's system
message. Pattern mirrors annotate_system_with_budget.

Adds system_prompt field on both ChatTurnHttpRequest and ChatTurnRequest;
plumbs through chat_turn and chat_turn_stream identically.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:34:08 -04:00
Cameron Cordes 177187f6a2 insight-chat: code-review polish on the system-prompt split
- Use Option::map instead of manual match-on-Option (drops clippy::manual_map).
- Drop redundant `max_iterations = max_iterations` from the format! call.
- Use captured identifiers consistently in the user_content format!.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:27:59 -04:00
Cameron Cordes 8ae4099d46 insight-chat: split generation system prompt into identity + procedural blocks
The framework no longer asserts "you are a personal photo memory
assistant" alongside a user-supplied custom_system_prompt — the
persona is the authoritative identity. The procedural block (tool-use
guidance, iteration budget) stays identity-free.

The user message also stops asking for "a detailed insight with a
title and summary" since the title is regenerated post-hoc anyway and
the wording was constraining voice for no data-model benefit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:20:45 -04:00
Cameron Cordes 204428b0c0 insight-chat: implementation plan for the spec
Five sequenced PRs:
  1. Split generation system prompt + neutralize user message
  2. system_prompt field on chat request (ephemeral / amend-persisted)
  3. fetch_messages_for_contact honors days_radius
  4. ToolGateOpts + per-tool description rewrites + search_messages
     gains start_ts/end_ts/contact_id
  5. FileViewer-React: persona system_prompt on every turn + style note

Each PR independently mergeable. Tests inline TDD per task.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:15:09 -04:00
Cameron Cordes fbece0ba9a insight-chat: design for tool catalog, system prompt, and SMS fixes
Lays out the cycle: split generation system prompt into identity vs
procedural blocks so personas drive voice/shape, add per-turn
system_prompt override on chat (ephemeral in append mode, persisted
on amend), gate optional tools on data presence, and fix the
days_radius bug in get_sms_messages.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 14:04:07 -04:00
cameron 22e157411c Merge pull request 'date_resolver: drop -fast2 so MP4 moov-at-end files resolve' (#82) from fix/exiftool-mp4-moov-trailer into master
Reviewed-on: #82
2026-05-07 16:42:08 +00:00
Cameron Cordes c128596470 date_resolver: drop -fast2 so MP4 moov-at-end files resolve
For QuickTime/MP4 files whose `moov` atom sits at the end of the
file (non-faststart — common for Snapchat exports and any MP4
muxed without `-movflags +faststart`), `-fast2` causes exiftool
to skip the trailer and return no `CreateDate` /
`MediaCreateDate`, dropping the resolver to the `fs_time`
fallback for files that actually have a real capture date.

Reported cases:
  Snapchat-477624257.mp4
    fs_time: 2026-05-04 (today, file was just modified)
    real:    QuickTime CreateDate 2018-09-02
  action_compound_cc92e65b709d1deb895b4c2a9484fc6a.mp4
    fs_time: 2026-05-04
    real:    MediaCreateDate 2018-03-01

The waterfall pre-filters to files kamadak-exif couldn't read, so
the JPEG fast-path is already covered without `-fast2`. Paying
full-scan cost on the residual is the right trade. The per-tick
drain re-resolves `source = 'fs_time'` rows, so existing rows
recover automatically on the next watcher tick after deploy — no
SQL migration needed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 12:40:50 -04:00
cameron ac8d17fb22 Merge pull request 'memories: deny Snapchat-prefixed filenames from timestamp parsing' (#81) from feature/filename-date-snapchat-denylist into master
Reviewed-on: #81
2026-05-07 16:20:06 +00:00
Cameron Cordes 43f8f83d80 memories: deny Snapchat-prefixed filenames from timestamp parsing
Snapchat assigns sequential IDs that happen to overlap real epoch
values, so the 10-16 digit timestamp regex matched and produced
2002-era dates for files actually saved in 2016/2021. The digits
themselves are indistinguishable from a unix timestamp, so we
dispatch on the source-app prefix instead. Case-insensitive,
extensible for future apps that exhibit the same pattern.

Reported cases:
  Snapchat-1021849065.mp4          → 2002-05-19 (actual 2021)
  Snapchat-1751031586660373917.jpg → 2002-09-09 (actual 2016)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 12:17:40 -04:00
cameron e55f6a5961 Merge pull request 'memories: reject implausible filename-derived timestamps' (#80) from feature/filename-date-plausibility into master
Reviewed-on: #80
2026-05-07 16:02:50 +00:00
Cameron Cordes feaae9b6d3 memories: reject implausible filename-derived timestamps
Filenames like `000227580005.jpg` (film-scan ID) and
`IMG_21323906751390.jpeg` were matched by the 10-16 digit timestamp
regex and resolved to 1970 / 2037, then written into
`image_exif.date_taken` with `source = 'filename'`. EXIF-less
photos showed up under those bogus dates everywhere date_taken is
read.

Two new guards in `extract_date_from_filename`:
- leading zero → reject (real epoch values don't have one at any
  sane resolution).
- resolved year outside [1995, now+1y] → reject.

Both let the date_resolver waterfall fall through to fs_time,
which is a much better proxy for content age than a fake epoch
date. Regression tests cover the two reported filenames.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 12:02:07 -04:00
cameron 95e21c8128 Merge pull request 'feature/manual-date-override' (#79) from feature/manual-date-override into master
Reviewed-on: #79
2026-05-07 15:10:37 +00:00
Cameron Cordes 7e1c4ab318 backfill_date_taken: surface the actual diesel error in warnings
The DAO swallowed every diesel::update failure as a flat
`anyhow!("Update error")`, then trace_db_call further reduced it to
`DbError { kind: UpdateError }`. Operators saw "update failed for lib
2 Snapchat/foo.mp4: DbError { kind: UpdateError }" with no clue why
(constraint violation? type mismatch? row vanished mid-flight? DB
locked?).

Two changes:
- Preserve the diesel error in the anyhow chain along with the input
  params (lib, rel_path, date_taken, source) so the cause is visible.
- Log the chain at warn-level inside the DAO before the trace wrapper
  collapses it to DbErrorKind::UpdateError, so the warning at the
  call site finally has something diagnosable next to it.
- Treat zero-row updates as a debug-level "row likely retired by the
  missing-file scan" rather than a hard failure — that case is benign
  and shouldn't poison the drain's error tally.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 11:07:17 -04:00
Cameron Cordes 65af7d999e memories: parse filename dates as UTC, not server local
`extract_date_from_filename` was calling `Local::from_local_datetime`
on the parsed YYYY-MM-DD-HH-MM-SS components, then `.timestamp()` was
shifting the result by the SERVER's TZ offset to produce real UTC
seconds. That made filename-sourced timestamps disagree with EXIF-
sourced timestamps by hours: kamadak-exif's `DateTimeOriginal` is a
naive string parsed AS-IF-UTC (the project's load-bearing
"naive local reinterpreted as UTC" convention), and Apollo's photo
matcher re-anchors that naive value through the BROWSER's TZ when
matching to the track. Anything stamped in server-local instead got
double-shifted on its way through the matcher and through any
`formatNaive*` display path on the client.

Visible symptom in the Apollo DETAILS modal: a photo's CURRENT date
read correctly (1:25 AM via exif) while FROM FILENAME read 4 hours
ahead (5:25 AM in EDT) for the same `IMG_20160710_012515.jpg`.

Switch to `Utc::from_utc_datetime` so `.timestamp()` returns the
wall-clock-as-UTC unix seconds — same convention as the EXIF path.
The /memories endpoint, the canonical-date waterfall (which feeds
`image_exif.date_taken` for filename-only files), and Apollo's
DETAILS modal `filename_date` field all now line up.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 20:43:18 -04:00
Cameron Cordes 16d6586b7d exif: GET /image/exif/full — exiftool dump for the DETAILS modal
The curated `image_exif` columns are a small slice of what exiftool
can read (camera/lens/GPS/capture/dates). Apollo's DETAILS modal wants
to surface everything — white balance, metering, MakerNotes, IPTC,
ICC profile, Composite tags, the lot — for an operator inspecting a
photo's provenance.

`read_full_exif_via_exiftool(path)` shells out to `exiftool -j -G -n`:
JSON output, group-prefixed keys (`EXIF:Make`, `MakerNotes:LensInfo`),
numeric values (callers can reformat). Spawned via web::block to keep
it off the actix worker — RAW with rich MakerNotes can take a few
seconds.

The endpoint is on-demand only; the indexer / file watcher does NOT
call it. Falls back to 503 with a clear message when exiftool isn't
on PATH so Apollo can render an "install exiftool" hint. Multi-library
union resolution mirrors set_image_gps / get_file_metadata.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 19:42:41 -04:00
Cameron Cordes 832b50d587 image_exif: manual date_taken override (set/clear endpoints)
Add `POST /image/exif/date` and `POST /image/exif/date/clear` so an
operator can correct a row whose canonical-date waterfall landed on the
wrong value (camera clock reset, fs_time fallback for a copied-from-
backup file, etc). New `original_date_taken` / `original_date_taken_source`
columns snapshot the prior value on first override so revert is lossless.

The waterfall source set is now `'exif' | 'exiftool' | 'filename' | 'fs_time' | 'manual'`.
The existing `idx_image_exif_date_backfill` partial index already filters
to `date_taken IS NULL OR date_taken_source = 'fs_time'`, so manual rows
are naturally excluded from the per-tick drain — no index change needed.

`ExifMetadata` now exposes `date_taken_source` + originals so a UI can
render "manually set; was X via filename".

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 19:26:43 -04:00
cameron 2acc525e73 Merge pull request 'otel: revert HTTP transport, keep gRPC' (#78) from fix/otlp-revert-to-grpc into master
Reviewed-on: #78
2026-05-06 22:36:09 +00:00
Cameron Cordes ecd49fd053 otel: revert HTTP transport, keep gRPC
The HTTP/protobuf exporter never sent any traffic in prod (tcpdump
on port 4318 showed nothing) despite the receiver path being correct
and the bridge wiring being intact (logs reached journalctl via the
stdout exporter). Likely the BatchLogProcessor + reqwest-client combo
isn't getting the right runtime context, but debugging that on a live
deployment isn't worth holding up the rest of the speedups.

Restoring grpc-tonic transport so prod observability comes back. The
remaining build-time wins on this branch (mold linker, system sqlite3,
profile.dev tweaks, lockfile-only dep refresh) deliver most of the
original savings without touching telemetry. Operator: revert
OTLP_OTLS_ENDPOINT in prod from port 4318 back to 4317.

HTTP transport remains a viable follow-up — needs to be debugged
against a local SigNoz instance with internal SDK error visibility
enabled, on its own branch.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 18:33:37 -04:00
cameron c7bd2226cc Merge pull request 'build: speed up debug compile loop' (#77) from feature/build-time-speedups into master
Reviewed-on: #77
2026-05-06 21:41:19 +00:00
Cameron Cordes f73db58771 build: speed up debug compile loop
- Drop libsqlite3-sys 'bundled' on Linux/macOS so the SQLite C source
  isn't recompiled every clean build; Windows keeps 'bundled' via a
  cfg(windows) target override.
- Switch opentelemetry-otlp from grpc-tonic to http-proto + reqwest-client.
  Removes the tonic + h2 + hyper-h2 stack from the build graph; reqwest
  was already a dependency. Updates otel.rs to call .with_http().
- Add [profile.dev] debug = "line-tables-only" to shrink linker work
  while keeping panics/backtraces useful.
- Add .cargo/config.toml selecting mold via gcc on x86_64-linux-gnu.
  Requires `apt install mold`. Other platforms use the default linker.
- cargo update: lockfile-only refresh of all minor/patch bumps within
  existing version constraints.

Cold debug build: ~1m 37s; touch-one-file rebuild: ~5s on Linux.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 17:36:42 -04:00
cameron 06fdcadf67 Merge pull request 'feature/canonical-date-taken' (#76) from feature/canonical-date-taken into master
Reviewed-on: #76
2026-05-06 21:15:57 +00:00
Cameron Cordes 9f1b3f6d9a date_taken_source: backfill 'exif' on legacy rows
Pre-resolver rows already had a populated `date_taken` from the old
kamadak-exif-only ingest path. The column-add migration left their
`date_taken_source` as NULL, and the drain's eligibility predicate
(`date_taken IS NULL OR date_taken_source = 'fs_time'`) skips them —
so they remain unlabelled forever and never benefit from the
resolver's exiftool fallback even if they're videos that should
upgrade.

Label them all `'exif'` in a one-shot UPDATE. Safe because every
write path that populated `date_taken` before the resolver landed was
a kamadak-exif read. Idempotent (the WHERE matches nothing on a
second run). Down.sql is a no-op — the labels stay correct under any
schema state, and the column-add migration is the right place to
revert if needed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 17:05:00 -04:00
Cameron Cordes 7f12890f4b memories: single-SQL rewrite + 20-year lookback
Replaces the EXIF-loop + WalkDir-fallback pipeline that powered
`/memories` with a single per-library SQL query
(`get_memories_in_window`) that uses `strftime('%m-%d' | '%W' | '%m',
date_taken, 'unixepoch', tz_offset)` for calendar matching in the
client's timezone, plus a `years_back` lower bound and a
no-future-dates upper bound. Returns only the matching rows; the
handler applies per-library `PathExcluder` post-query and sorts.

Drops:
- `collect_exif_memories` — replaced by the single SQL query.
- `collect_filesystem_memories` — the canonical-date pipeline now
  populates `date_taken` for every row at ingest, so the WalkDir
  fallback that scanned 14k+ files each request is no longer needed.
- `get_memory_date_with_priority` and friends — request-time waterfall
  superseded by `date_resolver` running at ingest. The associated
  three priority-tests are dropped; their replacement lives in
  `date_resolver::tests`.

On a ~14k-file library this drops `/memories` from 10–15 s
(dominated by `fs::metadata` per row) to single-digit ms.

Bumps `DEFAULT_YEARS_BACK` from 15 → 20 to surface deeper archives
on matching anniversaries.

Note vs. ISO weeks: the original Rust used `chrono::iso_week().week()`
for week-span matching. SQLite's `%W` is Monday-anchored but uses week
0 for days before the first Monday, so it can disagree with ISO at
year boundaries by ±1. Acceptable for nostalgia browsing.

Adds 3 new DAO tests covering month-span filter, library scoping, and
the unknown-span-token guard. Also adds a CLAUDE.md section describing
the canonical-date pipeline end-to-end and the new
`DATE_BACKFILL_MAX_PER_TICK` env var.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 16:04:09 -04:00
Cameron Cordes 54e0635a98 date_backfill: per-tick drain for unresolved date_taken rows
Adds two ExifDao methods (`get_rows_needing_date_backfill` /
`backfill_date_taken`) and a `backfill_missing_date_taken` watcher pass
that runs on every tick alongside `backfill_unhashed_backlog`.

The drain queries the partial index for rows where `date_taken IS NULL`
or `date_taken_source = 'fs_time'`, batches up to
`DATE_BACKFILL_MAX_PER_TICK` paths (default 500), and feeds them through
`date_resolver::resolve_dates_batch` — a single exiftool subprocess
covers the whole tick. Rows that newly resolve to `exiftool` /
`filename` / `fs_time` get persisted via `backfill_date_taken` (touches
only `date_taken` + `date_taken_source` so EXIF / hash / perceptual
columns survive).

`filename`-sourced rows are intentionally not re-resolved — the regex
is authoritative when it matches and re-running exiftool wouldn't
change the answer. Files that have disappeared from disk are skipped
so a ghost row doesn't loop through the drain forever; the
missing-file scan in `library_maintenance` retires those separately.

Comes with two DAO unit tests (eligibility filter + column-isolation).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 16:03:03 -04:00
Cameron Cordes 2d14291733 ingest: stamp canonical date_taken on every InsertImageExif
Wires `date_resolver::resolve_date_taken` into the three call sites
that build `InsertImageExif`:

- `process_new_files` (file watcher) — every newly-registered file gets
  the resolver's verdict so videos and EXIF-stripped images land with a
  real date instead of NULL.
- Upload handler — same waterfall on the post-multipart-write path.
- GPS-write handler — re-runs the waterfall after exiftool writes GPS
  and re-reads the EXIF, in case a previously fs_time-sourced row now
  has a real EXIF date to upgrade to.

This is a behavior change vs. the pre-rewrite `/memories` request-time
priority: EXIF now beats filename when both are present. A photo
named `Screenshot_2014-06-01.png` whose EXIF `DateTime` is 2021 now
appears under 2021. The reverse case (no EXIF, parseable filename) is
unchanged and continues to surface the filename date with
`date_taken_source = 'filename'`.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 16:00:14 -04:00
Cameron Cordes 79e258eccd date_resolver: canonical date_taken waterfall with exiftool fallback
New module that consolidates the four-step ingest waterfall:
kamadak-exif (already in process via the caller's prior result) →
exiftool fallback → filename regex → earliest_fs_time. Each step is
tagged with a `DateSource` so the caller can persist provenance.

The exiftool fallback is what makes videos and MakerNote-hosted dates
land at all — kamadak-exif can't read QuickTime/MP4 or Nikon-style
sub-IFDs. Single-file mode shells out per call; batch mode pipes paths
on stdin via `-@ -` and fans the result through one subprocess so the
upcoming per-tick drain doesn't pay startup cost per row. The
`exiftool` PATH check is cached in a `OnceLock` to keep the drain
short-circuited on deploys without exiftool installed.

`SubSecDateTimeOriginal` and `ContentCreateDate` are pulled alongside
the standard tags to capture iPhone's sub-second precision and Apple's
preferred capture-time tag respectively. `FileModifyDate` is
deliberately *not* in the tag list — it's a filesystem-derived value
the resolver already covers via the `fs_time` step, and pulling it
through exiftool would mask "no real EXIF date" with a misleading
`source = exiftool` row.

Module is registered in both `lib.rs` and `main.rs` (sibling-module
pattern the rest of the bin uses); no callers wired in yet — that
lands in the next commit. Comes with 9 unit tests covering JSON
parsing edge cases, source-priority short-circuiting, and the
fs_time-when-no-exif path.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 15:59:02 -04:00
Cameron Cordes 84326501a9 image_exif: add date_taken_source column
New nullable TEXT column tracks which step of the canonical-date
waterfall (kamadak-exif → exiftool → filename → fs_time) populated
`date_taken`. Lets a later per-tick drain re-resolve weak sources
(`fs_time`) once stronger ones become available, and gives the UI/debug
surface a way to answer "why does this photo show up under this date?".

Adds the column at all `InsertImageExif` construction sites with `None`
placeholders (the resolver wiring lands in a follow-up commit), and
extends the `update_exif` SET tuple so the column survives the GPS-write
re-read path. Partial index `idx_image_exif_date_backfill` is created
for the upcoming drain query.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 15:57:49 -04:00
cameron 5de9a322ac Merge pull request 'duplicates: folder-pair view of exact dups' (#75) from feature/folder-pair-duplicates into master
Reviewed-on: #75
2026-05-06 18:27:12 +00:00
Cameron Cordes 67cf0c7f73 duplicates: folder-pair view of exact dups
Bucket exact-dup rows by (library_id, dirname) pair on each side, then
filter by coverage = shared / min(folder_a_total, folder_b_total) and
an absolute floor on shared count. Surfaces "this folder is mostly
contained in that folder" matches that the per-file EXACT view buries
under one row each — e.g. an old phone-backup tree shadowing the
organized library, or a topic-grouped folder duplicating a date-grouped
one within the same library.

New endpoint: GET /duplicates/folder-pairs?library=&include_resolved=
&min_coverage=&min_shared=. Cached 5 min keyed on (library, include_resolved);
the user-tunable thresholds filter the cached unfiltered pair list so
slider drags don't re-bucket. Shares the resolve / unresolve flow with
the existing tabs — the frontend fans out N parallel /resolve calls,
one per shared content_hash.

Folder names carry no signal (BMW lives under Night Photos, not BMW_backup),
so bucketing is purely on (library_id, dirname) co-occurrence in
exact-dup groups. Within-folder dups (same hash twice in the same
folder) are skipped — those belong to the EXACT tab.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 12:43:29 -04:00
cameron 9ccb48233f Merge pull request 'exif: preserve filesystem mtime on GPS write' (#74) from fix/exif-preserve-mtime into master
Reviewed-on: #74
2026-05-04 20:12:08 +00:00
Cameron Cordes 1ddbca3413 exif: preserve filesystem mtime on GPS write
Pass -P to exiftool so write_gps doesn't bump the file's modification
time. For phone photos with no embedded EXIF datetime, the filesystem
mtime is often the only timestamp we have — losing it on every GPS
backfill would be data loss.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-04 16:09:21 -04:00
cameron 82dd21b205 Merge pull request 'feature/duplicate-detection' (#73) from feature/duplicate-detection into master
Reviewed-on: #73
2026-05-03 22:34:49 +00:00
Cameron Cordes 57b7bad086 duplicates: library-aware visibility — only hide a demoted row when its survivor is reachable
Soft-marked rows used to disappear from /photos globally, including
from a library-scoped view that didn't contain the survivor at all.
A user browsing lib A who'd promoted a file from lib B as the
survivor would silently lose visibility on their own copy in lib A,
even though lib B's file isn't reachable from lib A's view.

Library-scoped queries now keep a demoted row visible when its
survivor lives in a library outside the current scope. Implemented
as a NOT EXISTS subquery against the same image_exif table aliased
as `survivor`. The unscoped (all-libraries) view is unchanged — every
survivor is reachable, so demoted rows stay hidden as before.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 18:24:07 -04:00
Cameron Cordes 98057c98a1 duplicates: tighten perceptual cluster — entropy band, asymmetric dHash, medoid prune
Three changes against "still too loose at lowest sensitivity":

- Popcount entropy band tightened from [8, 56] to [16, 48]. The wider
  band let too much low-frequency content through (skies, scans,
  faded film) where pHash collapses to near-uniform values that
  Hamming-trivially across hundreds of unrelated images.
- dHash check now uses an asymmetric stricter threshold
  (dhash_threshold = max(2, threshold/2)). pHash is the candidate-
  discovery signal; dHash is validation. Splitting the budget means
  a real near-dup survives both while incidental pHash collisions
  on uniform content get vetoed. Missing dHash on either side now
  rejects the edge (was: trust pHash alone).
- Single-link union-find can chain weakly-similar images via
  transitive edges. Added a medoid-validation pass: per cluster,
  pick the member with smallest summed distance to others, then
  drop any whose distance to it exceeds threshold. Two new tests
  pin both invariants.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 18:19:48 -04:00
Cameron Cordes 7ca888e95d duplicates: filter low-entropy hashes + dHash double-check, fix backfill loop
The perceptual cluster was producing one giant first group that
contained hundreds of unrelated images. Two causes:
- Solid-colour images (skies, black frames, monochrome scans) all
  hash to near-zero pHashes that Hamming-distance-zero to each other.
- Single-link clustering on pHash alone is too permissive — a chain
  of weakly-similar images all collapses into one cluster.

Fixed by skipping hashes outside the popcount [8, 56] band (uniform
content) and requiring dHash agreement within threshold before
unioning a candidate edge from the BK-tree. Two new tests pin both
invariants.

Backfill bin separately fix: decode-failed rows kept phash_64=NULL
and got re-pulled by every batch, infinite-looping on a queue of
unbreakable formats. Persist a 0/0 sentinel on decode failure so
the row leaves the candidate set; the all-zero hash is excluded
from clustering by the same entropy filter so it doesn't pollute
results.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 18:08:05 -04:00
Cameron Cordes 7584cd8792 duplicates: perceptual hash + soft-mark resolution + upload 409
Adds pHash + dHash columns alongside the existing blake3 content_hash so
near-duplicates (re-encoded, resized, format-converted copies) become
queryable. /duplicates/{exact,perceptual} return groups; /duplicates/
{resolve,unresolve} flip a duplicate_of_hash soft-mark on losing rows
and union perceptual-only tag sets onto the survivor. The default
/photos listing filters duplicate_of_hash IS NULL so demoted siblings
stop cluttering the grid; include_duplicates=true opts back in for
Apollo's review modal. Upload now hashes bytes pre-write and returns
409 with the canonical sibling when a file's bytes already exist.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 17:36:01 -04:00
cameron 4340b164eb Merge pull request 'perf/faces-embeddings-no-clone' (#72) from perf/faces-embeddings-no-clone into master
Reviewed-on: #72
2026-05-01 23:09:22 +00:00
Cameron Cordes fb4df4b195 style: cargo fmt sweep
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 19:01:00 -04:00
Cameron Cordes 1d9b9a0bc4 faces: avoid 40 MB row clone in /faces/embeddings
list_embeddings cloned the full FaceDetectionRow inside the filter_map
just to pair it with the base64-encoded embedding. The 2 KB BLOB was
already on the row — at 20k unassigned faces that's 40 MB of pointless
heap traffic per Apollo cluster-suggest run. Move the bytes out via
Option::take() so the row drops the BLOB instead of duplicating it.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 19:00:55 -04:00
cameron 7998a0c9b0 Merge pull request 'feature/per-library-excluded-dirs' (#71) from feature/per-library-excluded-dirs into master
Reviewed-on: #71
2026-05-01 20:11:10 +00:00
Cameron Cordes 58f010f302 docs(claude): pin excluded_dirs entry-form syntax
The two entry shapes for libraries.excluded_dirs / EXCLUDED_DIRS
are not symmetric:
  - /sub/path → multi-segment, library-root-anchored, recursive
  - name     → single component anywhere in the tree

Without this pinned, a reasonable read of the column doc would be
"any path-like string works" — but a multi-segment string without a
leading slash silently never matches (the no-slash form scans path
components for exact string equality, and components are
slash-free).

No code change; just documentation.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 20:05:58 +00:00
Cameron Cordes 814066551e multi-library: per-library excluded_dirs
Adds a nullable comma-separated TEXT column to the libraries table.
Effective excludes for a walk = (env-var globals) ∪
(library.excluded_dirs). Empty / NULL = no library-specific
extras; the global env var still applies.

Migration (2026-05-01-110000_libraries_excluded_dirs)

  ALTER TABLE libraries ADD COLUMN excluded_dirs TEXT. NULL on every
  existing row — no behavior change on upgrade.

Library struct + helpers (libraries.rs)

  - Library gains excluded_dirs: Vec<String>, parsed from the column
    by parse_excluded_dirs_column (drops empties / whitespace,
    matches the env-var parser).
  - Library::effective_excluded_dirs(globals) returns the union.
  - From<LibraryRow> hydrates the field on AppState construction so
    /libraries surfaces it.

Watcher / walkers / memories

  Every per-library walker now consults the effective set:
    - process_new_files (file-watch ingest, RAW/EXIF/face)
    - process_face_backlog (filter_excluded inherits)
    - create_thumbnails (startup + new-file branch)
    - update_media_counts (Prometheus gauge)
    - cleanup_orphaned_playlists (per-library source-existence check)
    - memories endpoint (PathExcluder)

  Effective set is computed once per per-library iteration in the
  watcher tick and threaded through; called functions retain their
  flat &[String] signature (no per-library awareness needed inside
  the walker primitives).

Use case: mount a parent directory while a sibling library covers
a child subtree, and exclude the child subtree from the parent so
the libraries don't double-walk / double-write image_exif. With
hash-keyed derived data (Branches B/C), the duplication-avoidance
is the only cost prevented — face / tag / insight sharing was
already correct via content_hash.

Tests: 228 pass (226 from previous + 2 new in libraries::tests:
parse_excluded_dirs_column edge cases,
effective_excluded_dirs_unions_global_and_per_library).

CLAUDE.md gains a "Per-library excludes" subsection of the
multi-library data model.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 19:54:17 +00:00
cameron 4f17af688e Merge pull request 'multi-library: operator kill switch via libraries.enabled' (#70) from feature/library-enabled-flag into master
Reviewed-on: #70
2026-05-01 19:15:20 +00:00
Cameron Cordes 3598bb2cfe multi-library: operator kill switch via libraries.enabled
A small follow-up to Branches A/B/C. Adds a nullable-default-1
boolean column to the `libraries` table that controls whether the
watcher considers the library at all. Useful for staging a new
mount before committing to ingest, and as a maintenance kill
switch when a library needs to be quiet without being unmounted.

Migration (2026-05-01-100000_libraries_enabled_flag)

  ALTER TABLE libraries ADD COLUMN enabled BOOLEAN NOT NULL DEFAULT 1.
  Existing rows stay enabled — no behavior change on upgrade.

Watcher gate (main.rs)

  At the top of the per-library loop, if !lib.enabled { continue; }
  — runs BEFORE the availability probe. Disabled libraries don't
  enter the health map, don't get probed, don't get ingest, don't
  get any maintenance pass. The initial sweep before the loop's
  first sleep also skips disabled libraries.

Orphan-GC consensus (library_maintenance.rs)

  all_libraries_online filters disabled libraries out of the
  consensus check — they're treated as out-of-scope, not as
  blockers. Otherwise flipping enabled=false would permanently
  halt orphan GC for the rest of the system, which is the opposite
  of the intended kill-switch semantics.

Cross-library duplicates: safe by construction. Hash-keyed derived
data (face_detections, tagged_photo with hash, photo_insights with
hash) is anchored by ANY image_exif row carrying the hash. Disabling
a library does NOT delete its image_exif rows, so a hash referenced
by a disabled library's row stays anchored — derived data survives.
collect_orphan_hashes deliberately doesn't filter image_exif by
library.enabled for exactly this reason.

No HTTP endpoint. Library mutation is rare-enough infra work that a
SQL toggle is fine, and a public mutation endpoint without a role /
permission story would be poorly-prioritized exposure for a
single-user tool. Documented in CLAUDE.md.

Tests: 226 pass (225 from Branch C + 1 new
all_libraries_online_treats_disabled_as_out_of_scope, which proves
that even an explicit Stale entry on a disabled library doesn't
block the consensus).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 19:10:24 +00:00
cameron 23448cf5e6 Merge pull request 'feature/library-handoff-and-gc' (#69) from feature/library-handoff-and-gc into master
Reviewed-on: #69
2026-05-01 18:27:40 +00:00
Cameron Cordes d809ddee44 library_maintenance: clarify orphan-gc log wording
"marked 2 new" parses as "2 new files" on first read — but the
unit is content_hashes, and the action is observing them as
orphaned (becoming-deleted, not appearing). Reword:

  "{} new orphan hash(es) marked, {} revived"

instead of "marked {} new, revived {}". Also pluralize the deleted
counts ("row(s)") and append the pending-set size to the success
log so a tick that both deletes and re-marks doesn't lose the
trailing-state context.

No behavior change.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 18:01:01 +00:00
Cameron Cordes fa98d147be library_maintenance: log orphan-gc decisions in stale-library path too
run_orphan_gc returned early on the !all_online branch before the
final debug/info log line, so the GC was effectively invisible
whenever any library was Stale — exactly the dry-run scenario where
operators most want to confirm the safety gate is firing. Add the
same conditional log inside the early-return branch (plus a
"deferred — at least one library Stale" hint in the info-level
variant when there's something newly marked).

No behavior change beyond observability.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 17:14:09 +00:00
Cameron Cordes 5f247be1f1 docs(claude): note in-place edit gap as future Branch D
The maintenance pipeline added in Branch C assumes (library_id,
rel_path) bytes are stable for as long as the file lives at that
path. In-place edits (crop, re-export to same name) bypass
process_new_files's already-indexed check, so the row's
content_hash stays pinned to the original bytes — tags / faces /
insights remain attached to that hash silently.

Document the gap and the proposed shape of the fix:
  - Stale-content detection pass: compare last_modified / size_bytes
    to fs::metadata, re-hash on mismatch, update image_exif.
  - "Content branched" semantics on hash change: faces re-run, tags
    migrate forward (user intent survives a crop), insights migrate
    + flag for re-generation, favorites follow path.
  - Apollo derived.db cache invalidation belongs in the same design
    cycle, not after.

Captured here so the design intent is clear before someone hits the
case in real life. No code change.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 16:53:08 +00:00
Cameron Cordes 263e27e108 multi-library: handoff + orphan GC with two-tick consensus
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>
2026-05-01 16:27:53 +00:00
cameron a0283a6362 Merge pull request 'multi-library: hash-keyed tagged_photo + photo_insights with reconciliation' (#68) from feature/hash-keyed-derived-data into master
Reviewed-on: #68
2026-05-01 16:16:38 +00:00
Cameron Cordes 48cac8c285 multi-library: hash-keyed tagged_photo + photo_insights with reconciliation
Branch B of the multi-library data-model rollout. tagged_photo and
photo_insights now follow the bytes (content_hash), not the path,
matching the policy pinned in CLAUDE.md "Multi-library data model".
Branch A's availability probe and EXIF scoping land first; this
branch builds on top.

Migration (2026-05-01-000000_hash_keyed_derived_data)

  Adds nullable content_hash columns to tagged_photo and photo_insights,
  with partial indexes on the non-null subset to keep the index small
  during the transitional window. The migration backfills from
  image_exif:
    * tagged_photo joins on rel_path alone (no library_id available);
    * photo_insights joins on (library_id, rel_path), unambiguous.
  Rows whose image_exif hash isn't known yet stay null and the runtime
  reconciliation pass populates them as the hash backlog drains.

Insert-time population

  TagDao::tag_file looks up image_exif.content_hash by rel_path before
  inserting; the hash is written into the new column.
  InsightDao::store_insight does the same scoped to (library_id,
  rel_path). Caller-supplied hash on InsertPhotoInsight wins; otherwise
  the DAO does the lookup. Both paths fall back to None if the hash
  isn't known yet — reconciliation backfills.

Reconciliation (database/reconcile.rs)

  Three idempotent passes the watcher runs once per tick after the
  per-library backfill loop:
    1. tagged_photo NULL hashes → populate from image_exif by rel_path.
    2. photo_insights NULL hashes → populate by (library_id, rel_path).
    3. photo_insights scalar merge — when multiple is_current rows
       share a content_hash, keep the earliest generated_at as
       current; demote the rest. Demoted rows keep their data so
       /insights/history is unaffected; only the "current" pointer
       narrows to one per hash.

  No filesystem dependency, so reconcile doesn't need the availability
  gate; runs every tick. Logs once when something changed, debug
  otherwise.

  Tags are set-valued under the policy (union on read, already
  DISTINCT in queries), so there is no analogous tag-collapse pass —
  duplicate (tag_id, content_hash) rows across libraries are
  harmless.

Read paths are unchanged in this branch — lookup_tags_batch's
existing rel_path-via-hash-sibling expansion still produces the
correct merge. A follow-up can simplify reads to use the new column
directly for performance.

Tests: 217 pass (212 pre-existing + 5 new in reconcile covering
NULL-fill, hash-not-yet-known no-op, library scoping on insights,
earliest-wins collapse, idempotency).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 14:52:16 +00:00
cameron cce8f0c1b7 Merge pull request 'feature/multi-library-data-model' (#67) from feature/multi-library-data-model into master
Reviewed-on: #67
2026-05-01 14:40:16 +00:00
Cameron Cordes 48ed7be5d9 libraries: initial availability sweep before watcher's first sleep
new_health_map seeds every library as Online, and the watcher's tick
loop sleeps WATCH_QUICK_INTERVAL_SECONDS (default 60s) before its
first probe — meaning /libraries reported the optimistic default for
up to a minute after boot, even when a share was clearly unmounted.

Run the same refresh_health pass once at the top of the watcher
thread before entering the sleep loop. /libraries is then truthful
within milliseconds of the watcher thread starting (effectively from
the first HTTP request, since the watcher spawns well before the
server binds).

The per-tick gate inside the loop is unchanged.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 14:33:45 +00:00
Cameron Cordes eea1bf3181 multi-library: availability probe + scoped EXIF queries + collision fixes
Branch A of the multi-library data-model rollout. Three threads of
correctness/safety work that ship together because the new mount
needs all three before it can land:

1. Library availability probe (libraries.rs, state.rs, main.rs)

   New LibraryHealth (Online | Stale { reason, since }) and a shared
   LibraryHealthMap on AppState. Probe checks root_path exists +
   is_dir + readable + non-empty (relative to a "had_data" signal so
   fresh mounts aren't downgraded). The watcher tick begins with a
   refresh_health() per library; stale libraries skip ingest, the
   hash backfill, and face-detection backlog drains for that tick.
   The orphaned-playlist cleanup also gates on every library being
   online — a missing source on a stale library is indistinguishable
   from a transient unmount, and the cleanup is destructive.

   /libraries now returns each library with its current health
   state. Logs only on Online↔Stale transitions so a long outage
   doesn't spam.

   New ExifDao::count_for_library is the "had_data" signal.

2. EXIF queries scoped by library_id (database/mod.rs, files.rs,
   main.rs, tags.rs)

   query_by_exif gains an Option<i32> library filter; /photos and
   /photos/exif now pass it. Without this, an EXIF-filtered request
   scoped to ?library=N returned cross-library results because the
   handler resolved the library but didn't push it through to SQL.

   get_exif_batch gains the same option. The watcher's per-library
   ingest, face-candidate build, and content-hash backfill all
   scope to their library; the union-mode /photos date-sort path
   and the library-agnostic tag fan-out (lookup_tags_batch, by
   design) keep using None.

3. Derivative-path collision fixes (content_hash.rs, main.rs)

   New content_hash::library_scoped_legacy_path helper:
   <derivative_dir>/<library_id>/<rel_path>. Thumbnail generation
   (startup walk + watcher needs-thumb check) and serving now use
   it; serving falls back to the bare-legacy mirrored path so
   pre-multi-library deployments keep working without
   regeneration. Without this, lib2 with the same rel_path as lib1
   would have its thumbnail request short-circuit to lib1's image.

   Orphaned-playlist cleanup walks every library when checking for
   the source video (was: BASE_PATH only). Without this, mounting
   a 2nd library and waiting 24h would delete every playlist whose
   source lived only in the 2nd library.

   The HLS playlist write path collision (filename-only basename,
   not rel_path) is left as a known issue with a TODO at the call
   site — the actor-pipeline rewrite belongs in Branch B/C.

Tests: 212 pass (cargo test --lib). New tests cover the probe
states (online / missing root / non-dir / empty-with-prior-data),
refresh_health transitions, query_by_exif scoping, get_exif_batch
keying on (library_id, rel_path), library_scoped_legacy_path, and
count_for_library.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 14:12:49 +00:00
Cameron Cordes 2f91891459 docs(claude): pin multi-library data model + availability/safety policy
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>
2026-05-01 14:11:42 +00:00
cameron 3d162105f7 Merge pull request 'feature/edit-tag' (#66) from feature/edit-tag into master
Reviewed-on: #66
2026-05-01 01:03:40 +00:00
Cameron 98601973f7 faces: log at the three 503 paths in update_face_handler
PATCH /image/faces/{id} can return 503 from three places (face client
disabled, transient embed error, mid-flight disable) and none of them
were logging — operator sees the status code but nothing in the Rust
log explaining why. Add warn! lines at each so future bbox-edit
failures aren't silent. Response body is unchanged so existing clients
keep working.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 20:57:51 -04:00
Cameron 862917b0d1 gitignore: SQLite WAL runtime + local docs/specs dirs
*.db-shm / *.db-wal show up in the working tree whenever the server
runs (the WAL/journal pragmas in connect()), and /docs and /specs
hold per-feature design notes that stay local per the project's
"spec docs not in git" convention.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 20:31:19 -04:00
Cameron 44d677528e tags: add edit + delete endpoints, enable FK enforcement
PUT /image/tags/{id} renames a tag globally; DELETE /image/tags/{id}
removes a tag and every photo's reference. Rename returns 200/404/409
(case-insensitive name conflict) / 400 (empty name); delete returns
204/404. New migration adds a UNIQUE COLLATE NOCASE index on
tags.name with a pre-flight pass that collapses existing case-
insensitive duplicates onto the lowest id.

The connection setup now sets PRAGMA foreign_keys = ON. The schema
already declares ON DELETE CASCADE / SET NULL on several tables —
those clauses were documentation-only because SQLite has FK
enforcement off per-connection by default. Audited every
diesel::delete site; each touches either no inbound FKs or has a
matching policy. delete_tag relies on the tagged_photo cascade
instead of doing manual cleanup.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 20:26:35 -04:00
cameron 89b743ba54 Merge pull request 'faces: count distinct content_hash in stats total_photos' (#65) from face-stats-dedup-hash into master
Reviewed-on: #65
2026-04-30 22:43:58 +00:00
Cameron Cordes 323097c650 faces: count distinct content_hash in stats total_photos
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>
2026-04-30 22:41:20 +00:00
cameron d0833177c7 Merge pull request 'feature/face-stats-exclude-videos' (#64) from feature/face-stats-exclude-videos into master
Reviewed-on: #64
2026-04-30 21:17:19 +00:00
Cameron Cordes 67abd8d8ff style: cargo fmt
Pre-existing whitespace drift in test bodies, normalized by rustfmt.
No behavior change.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 21:16:34 +00:00
Cameron Cordes 0840d55c70 faces: exclude videos from backlog drain and SCANNED denominator
list_unscanned_candidates pulled every hashed image_exif row, including
videos. filter_excluded then dropped them client-side without writing a
marker, so the same set re-appeared every watcher tick — emitting the
"backlog drain — running detection on N candidate(s)" log forever and
producing no progress.

face_stats.total_photos counted the same video rows in the denominator,
so the SCANNED percentage was structurally capped below 100%.

Add an image-extension SQL predicate (case-insensitive, sourced from
file_types::IMAGE_EXTENSIONS) and apply it to both queries. Videos
never enter the candidate set, total_photos counts only what can
actually be scanned, and 100% becomes reachable.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 21:16:30 +00:00
cameron dbb046dfa8 Merge pull request 'indexer: prune EXCLUDED_DIRS at WalkDir time, extract enumerate_indexable_files' (#63) from feature/exclude-dirs-at-index-time into master
Reviewed-on: #63
2026-04-30 20:24:18 +00:00
Cameron Cordes f50655fb21 indexer: apply EXCLUDED_DIRS to remaining WalkDir callers
Audit follow-up to 5bf4956. The same `@eaDir` pruning that protects
the indexer also needs to protect the other walks under library roots:

- `create_thumbnails` walks every file in every library to generate
  thumbnails. Without EXCLUDED_DIRS, it would generate thumbnails of
  Synology's `SYNOFILE_THUMB_*.jpg` thumbnails (thumbnails of thumbnails).
- `update_media_counts` walks for the prometheus IMAGE / VIDEO gauges.
  Without EXCLUDED_DIRS, the gauges over-count by however many phantom
  `@eaDir` images live alongside the real photos.
- `cleanup_orphaned_playlists` walks BASE_PATH searching for source
  videos by filename. EXCLUDED_DIRS isn't a behavior change for typical
  Synology mounts (no .mp4 in @eaDir), but it's a correctness win for
  any operator-defined exclude that happens to contain video.

Refactor: add `walk_library_files(base, excluded_dirs) -> Vec<DirEntry>`
to file_scan.rs as the shared primitive. `enumerate_indexable_files`
now layers media-type + mtime filters on top of it. One new test
covers the lower-level helper (returns all extensions, prunes excluded
subtrees).

`generate_video_gifs` (currently `#[allow(dead_code)]`, not reachable
from main) gets the `update_media_counts` signature update and reads
EXCLUDED_DIRS from env so a future revival isn't broken — but its
WalkDir walk stays raw because the dual lib/bin compile makes the
file_scan module path non-trivial there. Tagged with a comment.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 20:21:17 +00:00
86 changed files with 20344 additions and 5002 deletions
+3
View File
@@ -0,0 +1,3 @@
[target.x86_64-unknown-linux-gnu]
linker = "/usr/bin/gcc"
rustflags = ["-C", "link-arg=-fuse-ld=mold"]
+4
View File
@@ -2,8 +2,12 @@
database/target
*.db
*.db.bak
*.db-shm
*.db-wal
.env
/tmp
/docs
/specs
# Default ignored files
.idea/shelf/
+308 -5
View File
@@ -76,7 +76,10 @@ cargo run --bin cleanup_files -- --base-path /path/to/media --database-url ./dat
### Core Components
**Layered Architecture:**
- **HTTP Layer** (`main.rs`): Route handlers for images, videos, metadata, tags, favorites, memories
- **Startup wiring** (`main.rs`): only ~350 lines — env load, migrations, AppState, route registration, server bind. Background jobs are kicked off here but defined elsewhere.
- **HTTP Layer** (`handlers/{image,video,favorites}.rs`, `files.rs`, `tags.rs`, `faces.rs`, `memories.rs`, `ai/handlers.rs`): the route handlers, grouped by domain.
- **Background loops** (`watcher.rs`): the file-watcher tick (`watch_files`, `process_new_files`) and the orphaned-playlist cleanup (`cleanup_orphaned_playlists`). Per-tick drains are factored into `backfill.rs` (`backfill_unhashed_backlog`, `backfill_missing_date_taken`, `backfill_missing_content_hashes`, `process_face_backlog`, `build_face_candidates`).
- **Thumbnails** (`thumbnails.rs`): generation pipeline + the `IMAGE_GAUGE` / `VIDEO_GAUGE` Prometheus metrics.
- **Auth Layer** (`auth.rs`): JWT token validation, Claims extraction via FromRequest trait
- **Service Layer** (`files.rs`, `exif.rs`, `memories.rs`): Business logic for file operations and EXIF extraction
- **DAO Layer** (`database/mod.rs`): Trait-based data access (ExifDao, UserDao, FavoriteDao, TagDao)
@@ -104,6 +107,242 @@ All database access goes through trait-based DAOs (e.g., `ExifDao`, `SqliteExifD
- `query_by_exif()`: Complex filtering by camera, GPS bounds, date ranges
- Batch operations minimize DB hits during file watching
### Multi-library data model
ImageApi supports more than one library (a library = a `(name, root_path)`
row in the `libraries` table that maps to a mounted directory tree). The
same bytes may exist under more than one library — typical case is an
"active" library plus an "archive" library that ingests files as they age
out — and the data model is designed so that derived data follows the
**bytes**, not the path, while user-managed data does the same.
**The principle.** A photo's identity is its `content_hash` (blake3, see
`src/content_hash.rs`). Anything we compute from or attach to a photo is
keyed on that hash so it survives:
- the same file appearing in a second library (backup / archive / mirror),
- the file moving between libraries (recent → archive handoff),
- the file moving within a library (re-organized rel_path),
- intra-library duplicates (same bytes at two paths).
**Table classification.** Three categories drive the keying decision:
| Category | Key | Rationale | Tables |
|---|---|---|---|
| Intrinsic to bytes | `content_hash` | Rerunning is wasted work (or LLM cost) | `face_detections` ✓, `image_exif` (target), `photo_insights` (target), `video_preview_clips` (target) |
| User intent about a photo | `content_hash` | "Tag this photo" means the bytes, not a path | `tagged_photo` (target), `favorites` (target) |
| Library administrative | `(library_id, rel_path)` | Tied to a specific filesystem location | `libraries`, `entity_photo_links`, the `rel_path` back-ref columns on hash-keyed tables |
✓ = already implemented this way. *(target)* = today still keyed on
`(library_id, rel_path)` and slated for migration. The migration adds a
nullable `content_hash` column, populates it from `image_exif` where
known, and read paths fall back to rel_path while the hash is null.
**Carrying a `rel_path` even when hash-keyed.** Hash-keyed tables retain
`(library_id, rel_path)` columns as a denormalized **back-reference**, not
as the key. This lets a single query answer "what is at this path right
now" without joining through `image_exif`, and supports the path-only
endpoints that predate the hash. `face_detections` is the reference
implementation: hash is the truth, path is a hint.
**Merge semantics on read.** When the same hash has rows under more than
one library:
- Set-valued data (tags, favorites, faces, entity links) → **union**.
- Scalar data (current insight, EXIF row, video preview clip) → earliest
`generated_at` / `created_time` wins. The historical lib1 row beats a
re-generated lib2 row, so the user's curated insight isn't shadowed by
a re-run on archive ingest.
**Write attribution.** A new tag/favorite/insight created while viewing
under lib2 binds to the bytes, not to lib2 — so it shows up under lib1
too. This is by design, but it's the most surprising rule on first
encounter; clients should not assume tags are library-scoped.
**Hash-less rows (transitional state).** During and immediately after a
new mount, `image_exif.content_hash` is being populated by
`backfill_unhashed_backlog` (capped per tick). Rules during this window:
- Writes: if the hash is known, write hash-keyed. If not, write
`(library_id, rel_path)`-keyed and let the reconciliation job collapse
duplicates once the hash lands.
- Reads: prefer hash key, fall back to `(library_id, rel_path)`.
- Reconciliation: a one-shot pass after every backfill tick collapses
rows that now share a hash, applying the merge semantics above.
Idempotent — safe to re-run.
**Library handoff (recent → archive).** When a file moves between
libraries (e.g. operator moves `~/photos/2024/IMG.nef` to the archive
mount), the file watcher sees the disappearance under lib1 and the
appearance under lib2. Hash-keyed rows don't need migration; the
`(library_id, rel_path)` back-ref columns are updated to point to the new
location. Library administrative rows (`entity_photo_links`,
`(library_id, rel_path)` rows in `image_exif` for hash-less items) are
re-keyed by the move detector, which matches a disappearance to an
appearance by `content_hash` within a configurable window.
**Orphans (source deleted while a copy survives).** When the only
`image_exif` row for a hash is deleted (file removed from disk), the
hash-keyed derived rows survive **as long as another `image_exif` row
references the same hash**. If the last reference is gone, derived rows
are eligible for GC (deferred — the GC job runs on a slow schedule so
that a brief unmount or rename doesn't wipe history).
**Stats and counts.** When reporting "how many photos do you have," count
`DISTINCT content_hash` over `image_exif`, not row count. Faces stats
already does this (`FaceDao::stats` in `src/faces.rs`); other counters
should follow suit. Numerator and denominator must live in the same
domain — see the face-stats commentary below for the cautionary tale.
**Per-library scoping when the user asks for it.** A request scoped to
`?library=N` filters the `image_exif` view to that library, and the
hash-keyed derived data is joined through that view. The user sees only
photos that have a copy under lib N, but the derived data attached to
those photos is the merged hash-keyed view. This is the answer to "show
me archive photos with their original tags."
**Operator kill switch (`libraries.enabled`).** Setting `enabled=0` on a
library is a hard pause: the watcher skips it entirely — before the
probe, before ingest, before any maintenance pass — and the orphan-GC
all-online consensus check filters disabled libraries out (they don't
keep the GC window closed). Reads / serving are unaffected; nothing
prevents `/image?path=...` from resolving against a disabled library's
root if the file is on disk. The existing `image_exif` rows for a
disabled library are **not deleted** — they continue to anchor
hash-keyed derived data, so cross-library duplicates survive the
disable. Toggle via SQL; there is intentionally no HTTP endpoint for
library mutation (single-user tool, no role / permission story).
Typical workflows: stage a new mount with `enabled=0` then flip to `1`;
quiet a flaky NAS during maintenance without disturbing the rest of
the system.
**Per-library excludes (`libraries.excluded_dirs`).** A
comma-separated column, same shape as the global `EXCLUDED_DIRS` env
var, that's applied **in union** with the env-var globals when a
walker scans this library. Use case: mount a parent directory as a
new library while a sibling library covers a child subtree, and
exclude that child subtree from the parent so the two libraries
don't double-walk and double-write `image_exif`. Two entry forms
(parsed by `memories::PathExcluder`):
- `/sub/path` — leading slash flags it as a path under the library
root. Joins to root + matches by `path.starts_with(...)`. Works
at any depth (`/photos`, `/media/2024/raw`).
- `name` — no leading slash flags it as a component name to skip
anywhere in the tree (`@eaDir`, `.thumbnails`). Single segment
only — `media/photos/a` without a leading slash never matches
anything. Hash-keyed derived
data (faces, tags, insights) is unaffected either way — those
follow the bytes — but `image_exif` row count, walker CPU, and
thumbnail disk usage all drop to 1× instead of 2× for the overlap.
Affects: file-watch ingest (`process_new_files`), thumbnail
generation, media-count gauges, the orphaned-playlist cleanup walk,
and the `/memories` endpoint. The face-detection backlog drain
inherits via `face_watch::filter_excluded`. NULL = no extras (only
the global env var applies).
**Library availability and safety.** Libraries can be on network shares
or removable media; the file watcher must not interpret a temporary
unavailability as a mass-deletion event. Every tick begins with a
**presence probe** per library: the library is considered online iff
its `root_path` exists, is readable, and a top-level scan returns at
least one expected entry (or matches a recent file-count high-water
mark within a tolerance). The probe result gates which actions are safe
to run on that library this tick:
| Action | Requires online? |
|---|---|
| Quick / full scan ingest of new files | yes |
| EXIF / face / insight backlog drains | yes — but the work runs against any online library |
| Move-handoff detection (lib1 disappearance ↔ lib2 appearance match) | **both** libraries online |
| `(library_id, rel_path)` re-keying on detected move | **both** libraries online |
| Orphan GC of hash-keyed derived data | all libraries that have *ever* held the hash must be online and confirmed-clean for two consecutive ticks |
| Reads / serving | always allowed; falls back to whichever library is online |
A library that fails the probe enters a "stale" state: writes scoped to
it are paused, its rows are flagged stale (not deleted) in
`/libraries` status, and the watcher logs at `warn` once per
state-transition (not per tick). A library that recovers re-enters the
online set automatically; no operator action required for transient
outages. The intent is that pulling a USB drive, rebooting a NAS, or
losing a VPN never triggers a destructive code path — the worst case is
that derived-data work pauses until the share returns.
The same rule constrains the move-handoff matcher: a disappearance
under lib1 only counts as a "move" if there is a matching appearance
under another **online** library within the window. A bare
disappearance with no matching appearance is treated as
"unavailable-or-deleted, defer judgment" — it does not re-key any rows
and does not enqueue GC.
**Maintenance pipeline (`src/library_maintenance.rs`).** The watcher
runs three maintenance passes per tick that together implement the
move/handoff and orphan rules:
1. **Missing-file scan** — per online library, paginated. A page of
`image_exif` rows is loaded (`IMAGE_EXIF_MISSING_SCAN_PAGE_SIZE`,
default 500), each row's `(root_path/rel_path)` is `stat()`-ed,
and confirmed-not-found rows are deleted from `image_exif`
(capped at `IMAGE_EXIF_MISSING_DELETE_CAP_PER_TICK`, default 200).
Permission/IO errors are skipped, never deleted — only `NotFound`
triggers a deletion. The cursor wraps every time a partial page
comes back, so the whole library is swept across consecutive ticks.
Skipped wholesale for Stale libraries via the per-library probe
gate at the top of the loop iteration.
2. **Back-ref refresh** — DB-only. For `face_detections`,
`tagged_photo`, and `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 the surviving
`image_exif` location. Idempotent SQL; no health gate needed.
This is what makes the recent → archive handoff invisible to
read paths: when the missing-file scan retires the lib-A row,
tags/faces/insights pivot to lib-B's path before any user
notices.
3. **Orphan GC** — destructive. Hash-keyed derived rows whose
`content_hash` no longer has any `image_exif` row are 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.
The pending set is held in memory (`OrphanGcState`) — restart
resets it, which only delays a delete, never causes one. Tags,
faces, and insights for orphaned hashes are deleted in one batch
per tick.
A backup library that briefly disappears, then returns within two
ticks, never loses any derived data. A move from lib-A to lib-B
without disappearance flips through pass 1 (lib-A row retired) and
pass 2 (back-refs follow), with pass 3 noting nothing because the
hash is still present in `image_exif` (lib-B's row).
**Known gap: in-place content changes (future Branch D).** The
maintenance pipeline assumes a `(library_id, rel_path)`'s bytes are
stable for as long as the file exists at that path. If a user edits
a file in place (crop, re-export) without renaming, the watcher's
quick scan walks the file (mtime is recent) but `process_new_files`
short-circuits because `(library_id, rel_path)` already has an
`image_exif` row — no re-hash, no re-EXIF, no face redetection. The
row's `content_hash` keeps pointing at the original bytes. Tags /
faces / insights stay attached to the original hash and continue to
display because the rel_path back-ref still resolves; new faces
introduced by the edit are never detected.
The right place to fix this is a **stale-content detection pass**
that compares `image_exif.last_modified` / `size_bytes` to
`fs::metadata` for rows the quick scan would otherwise skip. On
mismatch, recompute the hash, update `image_exif`, and apply the
"content branched" semantics:
- **Faces** re-run (faces are fully derived from bytes).
- **Tags** migrate to the new hash (user intent — "this photo is
vacation" survives a crop). Insights migrate forward as a
starting point and are flagged for re-generation.
- **Favorites** (when migrated to hash-keyed) follow the path /
user intent.
The interesting case is the operator who keeps an unedited copy in
the archive library and edits the local copy: post-detection, the
archive copy stays on the original hash, the local copy branches to
the new hash, and the two histories cleanly split. Apollo's
`derived.db` cache will need an invalidation hook for the changed
hash — design it alongside Branch D.
### File Processing Pipeline
**Thumbnail Generation:**
@@ -128,6 +367,60 @@ Runs in background thread with two-tier strategy:
- Batch queries EXIF DB to detect new files
- Configurable via `WATCH_QUICK_INTERVAL_SECONDS` and `WATCH_FULL_INTERVAL_SECONDS`
**Canonical date_taken pipeline (`src/date_resolver.rs`).** Every row's
`image_exif.date_taken` is populated at ingest by a four-step waterfall;
which step won is recorded in `image_exif.date_taken_source` so the
per-tick drain can re-resolve weak entries when better tools become
available, and so the UI/debug surface can answer "why did this photo
land on this date?". Order:
1. **`exif`** — kamadak-exif `DateTime` / `DateTimeOriginal`. Fast,
in-process, image-only.
2. **`exiftool`** — shell-out fallback for tags kamadak can't reach:
QuickTime/MP4 (`MediaCreateDate`, `TrackCreateDate`, `CreateDate`),
Apple's `ContentCreateDate`, MakerNote sub-IFDs. Required for
videos to land a real date. Single-file at ingest; the per-tick
drain feeds the whole batch through one `exiftool -@ -` subprocess.
Degrades silently when `exiftool` isn't on PATH (resolver caches the
"available" check via `OnceLock`).
3. **`filename`** — `extract_date_from_filename` in `memories.rs`
matches screenshot, chat-export, and timestamp-named patterns.
4. **`fs_time`** — `earliest_fs_time(metadata)` (earlier of created /
modified). Last resort.
Notable behavior change vs. the pre-2026-05 request-time logic:
**EXIF beats filename when both are present.** A photo named
`Screenshot_2014-06-01.png` whose EXIF `DateTime` is 2021 now appears
under 2021, not 2014 — on the theory that EXIF is more reliable than
import-named filenames. The reverse case (no EXIF, filename has a
date) is unchanged.
The `backfill_missing_date_taken` drain (`src/backfill.rs`) runs every
watcher tick alongside `backfill_unhashed_backlog` (also `src/backfill.rs`). It loads up to
`DATE_BACKFILL_MAX_PER_TICK` rows (default 500) where
`date_taken IS NULL` (backed by the `idx_image_exif_date_backfill`
partial index), runs the waterfall batch via `resolve_dates_batch`,
and writes results via the `backfill_date_taken` DAO method (touches
only `date_taken` + `date_taken_source` so EXIF / hash / perceptual
columns are preserved). Resolved rows — including the ones the
waterfall could only resolve via `fs_time` — are not re-eligible:
the resolver is deterministic on file bytes + filename + fs metadata,
so re-running on the same inputs lands on the same source every time.
An earlier version included `date_taken_source = 'fs_time'` in the
eligibility predicate, but with `ORDER BY id ASC LIMIT 500` it spun on
the same lowest-id rows in perpetuity and held the SQLite write lock
long enough to starve face-PATCH writers (5s busy_timeout → 500). If
a stronger tool comes online (exiftool install, new filename regex),
re-resolve out-of-band rather than re-introducing the steady-state
eligibility.
`/memories` is a single SQL query against this column
(`get_memories_in_window` in `src/database/mod.rs`), using
`strftime('%m-%d' | '%W' | '%m', date_taken, 'unixepoch', tz)` for
calendar matching with the client's timezone offset. The pre-rewrite
version stat'd every row and walked the entire library tree — at
~14k photos this took 1015 s; the rewrite is single-digit ms.
**EXIF Extraction:**
- Uses `kamadak-exif` crate
- Supports: JPEG, TIFF, RAW (NEF, CR2, CR3), HEIF/HEIC, PNG, WebP
@@ -219,11 +512,11 @@ ImageApi owns the face data; Apollo (sibling repo) hosts the insightface inferen
- `persons(id, name UNIQUE COLLATE NOCASE, cover_face_id, entity_id, created_from_tag, notes, ...)` — operator-managed, name is the user-visible identity.
- `face_detections(id, library_id, content_hash, rel_path, bbox_*, embedding BLOB, confidence, source, person_id, status, model_version, ...)` — keyed on `content_hash` so a photo duplicated across libraries is detected once. Marker rows for `status IN ('no_faces','failed')` carry NULL bbox/embedding (CHECK constraint enforces this).
**Why content_hash and not (library_id, rel_path):** ties face data to the bytes, not the path. A backup mount that copies files from the primary library naturally inherits the existing detections without re-running inference.
**Why content_hash and not (library_id, rel_path):** ties face data to the bytes, not the path. A backup mount that copies files from the primary library naturally inherits the existing detections without re-running inference. This is the reference implementation of the multi-library data model — see "Multi-library data model" above.
**File-watch hook** (`src/main.rs::process_new_files`): for each photo with a populated `content_hash`, check `FaceDao::already_scanned(hash)`; if not, send bytes (or embedded JPEG preview for RAW via `exif::extract_embedded_jpeg_preview`) to Apollo's `/api/internal/faces/detect`. K=`FACE_DETECT_CONCURRENCY` (default 8) parallel calls per scan tick; Apollo serializes them via its single-worker GPU pool. `face_watch.rs` is the Tokio orchestration layer.
**File-watch hook** (`src/watcher.rs::process_new_files`): for each photo with a populated `content_hash`, check `FaceDao::already_scanned(hash)`; if not, send bytes (or embedded JPEG preview for RAW via `exif::extract_embedded_jpeg_preview`) to Apollo's `/api/internal/faces/detect`. K=`FACE_DETECT_CONCURRENCY` (default 8) parallel calls per scan tick; Apollo serializes them via its single-worker GPU pool. `face_watch.rs` is the Tokio orchestration layer.
**Per-tick backlog drain** (also `src/main.rs`): two passes that run on every watcher tick regardless of quick-vs-full scan:
**Per-tick backlog drain** (`src/backfill.rs`): two passes that run on every watcher tick regardless of quick-vs-full scan:
- `backfill_unhashed_backlog` — populates `image_exif.content_hash` for photos that arrived before the hash field was retroactive. Capped by `FACE_HASH_BACKFILL_MAX_PER_TICK` (default 2000); errors don't burn the cap.
- `process_face_backlog` — runs detection on photos that have a hash but no `face_detections` row. Capped by `FACE_BACKLOG_MAX_PER_TICK` (default 64). Selected via a SQL anti-join (`FaceDao::list_unscanned_candidates`); videos and EXCLUDED_DIRS paths filtered out client-side via `face_watch::filter_excluded` so they never reach Apollo.
@@ -233,9 +526,13 @@ ImageApi owns the face data; Apollo (sibling repo) hosts the insightface inferen
**Rerun preserves manual rows** (`POST /image/faces/{id}/rerun`): only `source='auto'` rows are deleted before re-running detection. `already_scanned` returns true on ANY row, so a photo whose only faces are manually drawn never auto-redetects.
**Stats domain — content_hash, not file rows** (`FaceDao::stats` in `src/faces.rs`): `total_photos` counts `DISTINCT content_hash` over `image_exif` (filtered to image extensions, `content_hash IS NOT NULL`), and so do `scanned` / `with_faces` / `no_faces` / `failed` over `face_detections`. Numerator and denominator must live in the same domain — `face_detections` is keyed on content_hash, so the same JPEG present at two rel_paths or in two libraries scans once. Counting `image_exif` rows in the denominator inflated total by one per duplicate file and produced a permanent gap (e.g. 1101/1103 with nothing actually pending). Hash-less rows are excluded from total_photos while they sit in the `backfill_unhashed_backlog` queue; otherwise the bar pins below 100% for the duration of that backfill even though those rows aren't pending detection yet — they're pending hashing.
Module map:
- `src/faces.rs``FaceDao` trait + `SqliteFaceDao` impl, route handlers for `/faces/*`, `/image/faces/*`, `/persons/*`. Mirror of `tags.rs` layout.
- `src/face_watch.rs` — Tokio orchestration for the file-watch detect pass; `filter_excluded` (PathExcluder + image-extension filter), `read_image_bytes_for_detect` (RAW preview fallback).
- `src/backfill.rs` — per-tick drains (unhashed-hash, date_taken, face-backlog, etc.) called from `watcher::watch_files` and `watcher::process_new_files`.
- `src/watcher.rs` — the watcher loop itself and `process_new_files` (file walk → EXIF write → face-candidate build).
- `src/ai/face_client.rs` — HTTP client for Apollo's inference. Configured by `APOLLO_FACE_API_BASE_URL`, falls back to `APOLLO_API_BASE_URL`. Both unset → feature disabled, file-watch hook is a no-op.
- `migrations/2026-04-29-000000_add_faces/` — schema.
@@ -296,6 +593,7 @@ Optional:
```bash
WATCH_QUICK_INTERVAL_SECONDS=60 # Quick scan interval
WATCH_FULL_INTERVAL_SECONDS=3600 # Full scan interval
DATE_BACKFILL_MAX_PER_TICK=500 # Cap on canonical-date drain per watcher tick
OTLP_OTLS_ENDPOINT=http://... # OpenTelemetry collector (release builds)
# AI Insights Configuration
@@ -372,7 +670,12 @@ clients whether chat is available for a given insight.
- `POST /insights/chat` runs one turn of the agentic loop against the replayed
history. Body: `{ file_path, library?, user_message, model?, backend?, num_ctx?,
temperature?, top_p?, top_k?, min_p?, max_iterations?, amend? }`.
temperature?, top_p?, top_k?, min_p?, max_iterations?, system_prompt?, amend? }`.
`system_prompt` is a per-turn override: in append mode (default) it's applied
ephemerally — the original system message is restored before persistence so
the stored transcript keeps its baked persona. In amend mode the override
stays in place and becomes the new insight row's system message. Mirrors the
internal `annotate_system_with_budget` swap-and-restore pattern.
- `POST /insights/chat/stream` is the SSE variant — same request body, response
is `text/event-stream` with events: `iteration_start`, `text` (delta), `tool_call`,
`tool_result`, `truncated`, `done`, plus a server-emitted `error_message` on
Generated
+1097 -860
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+11 -1
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@@ -9,6 +9,9 @@ edition = "2024"
[profile.release]
lto = "thin"
[profile.dev]
debug = "line-tables-only"
[dependencies]
actix = "0.13.1"
actix-web = "4"
@@ -23,7 +26,7 @@ jsonwebtoken = "9.3.0"
serde = "1"
serde_json = "1"
diesel = { version = "2.2.10", features = ["sqlite"] }
libsqlite3-sys = { version = "0.35", features = ["bundled"] }
libsqlite3-sys = "0.35"
diesel_migrations = "2.2.0"
chrono = "0.4"
clap = { version = "4.5", features = ["derive"] }
@@ -59,5 +62,12 @@ ical = "0.11"
scraper = "0.20"
base64 = "0.22"
blake3 = "1.5"
image_hasher = "3.0"
bk-tree = "0.5"
async-trait = "0.1"
indicatif = "0.17"
# Windows lacks system sqlite3, so re-enable the bundled C build there.
# Linux/macOS use the system library (faster builds, smaller binary).
[target.'cfg(windows)'.dependencies]
libsqlite3-sys = { version = "0.35", features = ["bundled"] }
@@ -0,0 +1 @@
DROP INDEX IF EXISTS idx_tags_name_nocase;
@@ -0,0 +1,28 @@
-- Tags only enforced uniqueness in application code (the add_tag handler
-- looks up by name before inserting). The schema itself accepted dupes,
-- so a divergent code path could land two tags with the same name. Now
-- that we expose a rename endpoint we want a hard guarantee: case-
-- insensitive UNIQUE on tags.name.
-- Pre-flight: collapse exact-name duplicates (case-insensitive) onto the
-- lowest-id row before adding the constraint, otherwise the index
-- creation fails on any DB that ever produced dupes. On a clean DB this
-- is a no-op.
UPDATE tagged_photo
SET tag_id = (
SELECT MIN(t2.id) FROM tags t2
WHERE LOWER(t2.name) = LOWER((SELECT name FROM tags WHERE id = tagged_photo.tag_id))
)
WHERE tag_id IN (
SELECT t.id FROM tags t
WHERE t.id <> (
SELECT MIN(t2.id) FROM tags t2 WHERE LOWER(t2.name) = LOWER(t.name)
)
);
DELETE FROM tags
WHERE id <> (
SELECT MIN(t2.id) FROM tags t2 WHERE LOWER(t2.name) = LOWER(tags.name)
);
CREATE UNIQUE INDEX idx_tags_name_nocase ON tags (name COLLATE NOCASE);
@@ -0,0 +1,5 @@
DROP INDEX IF EXISTS idx_photo_insights_content_hash;
ALTER TABLE photo_insights DROP COLUMN content_hash;
DROP INDEX IF EXISTS idx_tagged_photo_content_hash;
ALTER TABLE tagged_photo DROP COLUMN content_hash;
@@ -0,0 +1,64 @@
-- Phase B of the multi-library data-model rollout: add a nullable
-- `content_hash` column to derived/user-intent tables that should follow
-- the bytes rather than the path. Reads will prefer hash-key joins and
-- fall back to rel_path while the column is null. A separate
-- reconciliation pass collapses duplicates as the column populates.
--
-- See CLAUDE.md → "Multi-library data model" for the policy. The
-- reference implementation is `face_detections`, which has been
-- hash-keyed since it was introduced.
--
-- Tables in this migration:
-- * tagged_photo — user-intent (tags follow the bytes)
-- * photo_insights — intrinsic to bytes (LLM-generated description)
--
-- favorites is the natural third candidate but its DAO is barely used in
-- v1 and the row count is tiny; deferring lets this migration stay
-- focused on the high-volume tables that drive cross-library overhead.
-- ---------------------------------------------------------------------------
-- tagged_photo
-- ---------------------------------------------------------------------------
ALTER TABLE tagged_photo ADD COLUMN content_hash TEXT;
-- Backfill: for each tagged_photo row, find the content_hash for its
-- rel_path. tagged_photo doesn't carry a library_id, so a rel_path that
-- exists under multiple libraries with different content is genuinely
-- ambiguous — we take the first matching image_exif row. The
-- reconciliation pass at runtime cleans up any rows that resolve
-- differently once a hash is known per library.
UPDATE tagged_photo
SET content_hash = (
SELECT content_hash FROM image_exif
WHERE image_exif.rel_path = tagged_photo.rel_path
AND image_exif.content_hash IS NOT NULL
LIMIT 1
)
WHERE content_hash IS NULL;
-- Hash-key index. Partial (only non-null rows) to keep the index small
-- during the transitional window where most rows are still null.
CREATE INDEX idx_tagged_photo_content_hash
ON tagged_photo (content_hash)
WHERE content_hash IS NOT NULL;
-- ---------------------------------------------------------------------------
-- photo_insights
-- ---------------------------------------------------------------------------
ALTER TABLE photo_insights ADD COLUMN content_hash TEXT;
-- Backfill keyed on (library_id, rel_path) — photo_insights already
-- carries library_id, so the resolution is unambiguous.
UPDATE photo_insights
SET content_hash = (
SELECT content_hash FROM image_exif
WHERE image_exif.library_id = photo_insights.library_id
AND image_exif.rel_path = photo_insights.rel_path
AND image_exif.content_hash IS NOT NULL
LIMIT 1
)
WHERE content_hash IS NULL;
CREATE INDEX idx_photo_insights_content_hash
ON photo_insights (content_hash)
WHERE content_hash IS NOT NULL;
@@ -0,0 +1,2 @@
-- Requires SQLite 3.35+ for ALTER TABLE DROP COLUMN.
ALTER TABLE libraries DROP COLUMN enabled;
@@ -0,0 +1,14 @@
-- Operator-controlled kill switch for a library. When `enabled = 0` the
-- watcher tick skips that library entirely — before the availability
-- probe, before ingest, before any maintenance pass — and the orphan-GC
-- all-online check treats it as out-of-scope rather than as a blocker.
--
-- The intended workflow is staging a new mount: insert with enabled=0,
-- verify the row appears in /libraries with enabled=false, then UPDATE
-- to 1 to start ingest. Same toggle works as a maintenance kill switch
-- after the fact ("don't keep probing this NAS while I'm rebooting it").
--
-- Default 1 so every existing library stays running on upgrade — no
-- behavior change without an explicit flip.
ALTER TABLE libraries ADD COLUMN enabled BOOLEAN NOT NULL DEFAULT 1;
@@ -0,0 +1,2 @@
-- Requires SQLite 3.35+ for ALTER TABLE DROP COLUMN.
ALTER TABLE libraries DROP COLUMN excluded_dirs;
@@ -0,0 +1,14 @@
-- Per-library excluded directories.
--
-- The global EXCLUDED_DIRS env var is the right knob for excludes that
-- every library shares (Synology @eaDir, .thumbnails, etc.). It's a
-- poor fit for "exclude this subtree from THIS library only", which
-- the natural use case for is mounting a parent directory while
-- another library already covers a child subtree underneath.
--
-- This column is parsed comma-separated, same shape as the env var,
-- and the watcher / memories / thumbnail walks each apply
-- (env_globals library.excluded_dirs) when scanning the library.
-- NULL = no extra excludes; the global env var still applies.
ALTER TABLE libraries ADD COLUMN excluded_dirs TEXT;
@@ -0,0 +1,8 @@
DROP INDEX IF EXISTS idx_image_exif_duplicate_of_hash;
DROP INDEX IF EXISTS idx_image_exif_dhash;
DROP INDEX IF EXISTS idx_image_exif_phash;
ALTER TABLE image_exif DROP COLUMN duplicate_decided_at;
ALTER TABLE image_exif DROP COLUMN duplicate_of_hash;
ALTER TABLE image_exif DROP COLUMN dhash_64;
ALTER TABLE image_exif DROP COLUMN phash_64;
@@ -0,0 +1,41 @@
-- Adds perceptual-hash signals + soft-mark resolution state to image_exif so
-- the duplicates surface in Apollo can group near-duplicates (re-encoded,
-- resized, format-converted copies) and let the user demote losers without
-- touching the file on disk. Image-only for v1: phash_64/dhash_64 are NULL
-- on videos and on images that fail to decode. See Apollo CLAUDE.md →
-- Duplicate detection / Caching layer for the policy.
--
-- Soft-mark columns are media-type-agnostic — when video perceptual hashing
-- arrives, it lives in a separate hash-keyed companion table and reuses the
-- same duplicate_of_hash / duplicate_decided_at machinery.
-- pHash (DCT, 64-bit) packed as i64 for fast XOR + popcount Hamming.
ALTER TABLE image_exif ADD COLUMN phash_64 BIGINT;
-- dHash (gradient, 64-bit). Cheap, robust to compression/resize. Stored
-- alongside pHash so the query layer can fall back if either is null.
ALTER TABLE image_exif ADD COLUMN dhash_64 BIGINT;
-- When non-null, this row is a soft-marked duplicate of the row whose
-- content_hash matches. The duplicate file stays on disk; the default
-- /photos listing filters it out. /photos?include_duplicates=true opts
-- back in (the Apollo duplicates modal uses this).
ALTER TABLE image_exif ADD COLUMN duplicate_of_hash TEXT;
-- Unix seconds of the resolve. Distinguishes "never reviewed" from
-- "reviewed and resolved" for the Apollo include_resolved toggle.
ALTER TABLE image_exif ADD COLUMN duplicate_decided_at BIGINT;
-- Partial indexes — the columns are NULL for the vast majority of rows
-- during the transitional window and forever for videos / decode failures.
CREATE INDEX idx_image_exif_phash
ON image_exif (phash_64)
WHERE phash_64 IS NOT NULL;
CREATE INDEX idx_image_exif_dhash
ON image_exif (dhash_64)
WHERE dhash_64 IS NOT NULL;
CREATE INDEX idx_image_exif_duplicate_of_hash
ON image_exif (duplicate_of_hash)
WHERE duplicate_of_hash IS NOT NULL;
@@ -0,0 +1,2 @@
DROP INDEX IF EXISTS idx_image_exif_date_backfill;
ALTER TABLE image_exif DROP COLUMN date_taken_source;
@@ -0,0 +1,24 @@
-- Tracks where a row's `date_taken` was sourced so the canonical-date
-- waterfall (kamadak-exif → exiftool → filename → earliest_fs_time) is
-- visible to debugging and to the per-tick backfill drain that re-runs
-- weak sources once stronger ones become available (e.g. exiftool gets
-- installed on a deploy that didn't have it). See CLAUDE.md → Memories
-- canonical-date pipeline.
--
-- Values:
-- 'exif' — kamadak-exif read DateTime/DateTimeOriginal directly
-- 'exiftool' — exiftool fallback caught a video / MakerNote / QuickTime tag
-- 'filename' — extract_date_from_filename matched a known pattern
-- 'fs_time' — fell through to earliest_fs_time(metadata)
--
-- NULL when `date_taken` itself is NULL (no source resolved the date).
ALTER TABLE image_exif ADD COLUMN date_taken_source TEXT;
-- Partial index for the per-tick backfill drain: targets rows that need
-- re-resolution (no date yet, or only the weakest source resolved it).
-- Filename-sourced rows are intentionally excluded — the regex is
-- authoritative when it matches and re-running exiftool wouldn't change
-- the answer.
CREATE INDEX idx_image_exif_date_backfill
ON image_exif (library_id, id)
WHERE date_taken IS NULL OR date_taken_source = 'fs_time';
@@ -0,0 +1,9 @@
-- Reverting this migration is a no-op: the labels we wrote in `up.sql`
-- are correct under any state of the schema (every dated row was indeed
-- exif-sourced before the resolver landed), and there's no signal that
-- distinguishes "labelled by this migration" from "labelled by the
-- ingest path post-resolver". Clearing them would break the drain's
-- eligibility filter again.
--
-- The companion migration `2026-05-06-000000_add_date_taken_source` is
-- the one to revert if you need to remove the column entirely.
@@ -0,0 +1,20 @@
-- Backfill `date_taken_source` for rows that pre-date the canonical-date
-- pipeline. Before the resolver landed, `image_exif.date_taken` could
-- only be populated via `exif::extract_exif_from_path` (kamadak-exif)
-- on the file-watcher, upload, or GPS-write paths. The resolver column
-- migration added `date_taken_source` defaulting to NULL, so every
-- historical row with a date is currently unlabelled — and the
-- per-tick drain skips them because its eligibility predicate is
-- `date_taken IS NULL OR date_taken_source = 'fs_time'`.
--
-- Label them `'exif'` once and let the drain take over from here. Safe
-- because every code path that wrote `date_taken` prior to the
-- resolver was a kamadak-exif read — there was no other source.
--
-- Idempotent: re-running this migration on a DB that has already been
-- backfilled is a no-op (the WHERE clause matches nothing the second
-- time around).
UPDATE image_exif
SET date_taken_source = 'exif'
WHERE date_taken IS NOT NULL
AND date_taken_source IS NULL;
@@ -0,0 +1,2 @@
ALTER TABLE image_exif DROP COLUMN original_date_taken_source;
ALTER TABLE image_exif DROP COLUMN original_date_taken;
@@ -0,0 +1,15 @@
-- Manual date_taken override: when an operator overrides a row's date via
-- POST /image/exif/date, the prior `(date_taken, date_taken_source)` is
-- snapshotted into these columns and the live columns hold the new value
-- with `date_taken_source = 'manual'`. POST /image/exif/date/clear restores
-- the pair and nulls the originals.
--
-- The waterfall source-name set is now:
-- 'exif' | 'exiftool' | 'filename' | 'fs_time' | 'manual'
--
-- The `idx_image_exif_date_backfill` partial index already filters to
-- `date_taken IS NULL OR date_taken_source = 'fs_time'`, so 'manual' rows
-- are naturally excluded from the per-tick backfill drain — no index
-- change needed.
ALTER TABLE image_exif ADD COLUMN original_date_taken BIGINT;
ALTER TABLE image_exif ADD COLUMN original_date_taken_source TEXT;
@@ -0,0 +1,43 @@
-- Drop the persona-scoping column on entity_facts via the table-rebuild
-- dance for SQLite-version portability (matches the pattern in
-- 2026-04-20-000000_add_backend_to_insights/down.sql).
DROP INDEX IF EXISTS idx_entity_facts_persona;
CREATE TABLE entity_facts_backup AS
SELECT id, subject_entity_id, predicate, object_entity_id, object_value,
source_photo, source_insight_id, confidence, status, created_at
FROM entity_facts;
DROP TABLE entity_facts;
CREATE TABLE entity_facts (
id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
subject_entity_id INTEGER NOT NULL,
predicate TEXT NOT NULL,
object_entity_id INTEGER,
object_value TEXT,
source_photo TEXT,
source_insight_id INTEGER,
confidence REAL NOT NULL DEFAULT 0.6,
status TEXT NOT NULL DEFAULT 'active',
created_at BIGINT NOT NULL,
CONSTRAINT fk_ef_subject FOREIGN KEY (subject_entity_id) REFERENCES entities(id) ON DELETE CASCADE,
CONSTRAINT fk_ef_object FOREIGN KEY (object_entity_id) REFERENCES entities(id) ON DELETE SET NULL,
CONSTRAINT fk_ef_insight FOREIGN KEY (source_insight_id) REFERENCES photo_insights(id) ON DELETE SET NULL,
CHECK (object_entity_id IS NOT NULL OR object_value IS NOT NULL)
);
INSERT INTO entity_facts
SELECT id, subject_entity_id, predicate, object_entity_id, object_value,
source_photo, source_insight_id, confidence, status, created_at
FROM entity_facts_backup;
DROP TABLE entity_facts_backup;
CREATE INDEX idx_entity_facts_subject ON entity_facts(subject_entity_id);
CREATE INDEX idx_entity_facts_predicate ON entity_facts(predicate);
CREATE INDEX idx_entity_facts_status ON entity_facts(status);
CREATE INDEX idx_entity_facts_source_photo ON entity_facts(source_photo);
DROP INDEX IF EXISTS idx_personas_user;
DROP TABLE IF EXISTS personas;
@@ -0,0 +1,64 @@
-- Personas live server-side now (mobile previously stored them in
-- AsyncStorage only). Each user gets the three built-ins seeded; custom
-- personas land here too via POST /personas or POST /personas/migrate.
--
-- `entity_facts` gains a persona_id so each persona accumulates its own
-- voice over a shared entity graph (entities themselves stay unscoped).
-- Existing rows backfill to 'default' via the column DEFAULT — that
-- becomes the historical baseline. The `include_all_memories` flag on
-- personas lets any persona opt back into reading the full pool.
CREATE TABLE personas (
id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
user_id INTEGER NOT NULL,
persona_id TEXT NOT NULL,
name TEXT NOT NULL,
system_prompt TEXT NOT NULL,
is_built_in BOOLEAN NOT NULL DEFAULT FALSE,
include_all_memories BOOLEAN NOT NULL DEFAULT FALSE,
created_at BIGINT NOT NULL,
updated_at BIGINT NOT NULL,
UNIQUE(user_id, persona_id),
CONSTRAINT fk_personas_user FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
);
CREATE INDEX idx_personas_user ON personas(user_id);
-- Seed built-ins for every existing user. System prompts copied verbatim
-- from FileViewer-React/hooks/usePersonas.tsx so server and client agree
-- on the canonical voice for each built-in.
INSERT INTO personas (user_id, persona_id, name, system_prompt, is_built_in, created_at, updated_at)
SELECT
u.id,
'default',
'Default Assistant',
'You are my long-term memory assistant. Use only the information provided. Do not invent details. Respond in 36 sentences in third person, leading with the most concrete moment from the photo and the surrounding context. Plain prose, no headings.',
TRUE,
strftime('%s', 'now') * 1000,
strftime('%s', 'now') * 1000
FROM users u
UNION ALL
SELECT
u.id,
'journal',
'Personal Journal',
'You are a personal journal writer. Write in first person, present tense, with warmth and reflection — focusing on emotions and meaningful moments. Use only the information provided; do not invent details. Aim for 48 sentences in a single flowing paragraph, no headings.',
TRUE,
strftime('%s', 'now') * 1000,
strftime('%s', 'now') * 1000
FROM users u
UNION ALL
SELECT
u.id,
'factual',
'Factual Reporter',
'You are a factual memory recorder. Be precise, objective, and concise. Lead with the date and place, then list what / when / who in 24 short sentences. Use only the information provided; if a detail is unknown, say so rather than guessing.',
TRUE,
strftime('%s', 'now') * 1000,
strftime('%s', 'now') * 1000
FROM users u;
-- Persona scoping on facts only. Entities and entity_photo_links stay
-- shared (real-world referents and shared photo ↔ entity associations).
ALTER TABLE entity_facts ADD COLUMN persona_id TEXT NOT NULL DEFAULT 'default';
CREATE INDEX idx_entity_facts_persona ON entity_facts(persona_id);
@@ -0,0 +1,47 @@
-- Reverse 2026-05-10-000000_entity_facts_persona_fk: drop the
-- composite FK and the user_id column via the same rebuild pattern.
DROP INDEX IF EXISTS idx_entity_facts_user_persona;
DROP INDEX IF EXISTS idx_entity_facts_persona;
DROP INDEX IF EXISTS idx_entity_facts_source_photo;
DROP INDEX IF EXISTS idx_entity_facts_status;
DROP INDEX IF EXISTS idx_entity_facts_predicate;
DROP INDEX IF EXISTS idx_entity_facts_subject;
ALTER TABLE entity_facts RENAME TO entity_facts_old;
CREATE TABLE entity_facts (
id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
subject_entity_id INTEGER NOT NULL,
predicate TEXT NOT NULL,
object_entity_id INTEGER,
object_value TEXT,
source_photo TEXT,
source_insight_id INTEGER,
confidence REAL NOT NULL DEFAULT 0.6,
status TEXT NOT NULL DEFAULT 'active',
created_at BIGINT NOT NULL,
persona_id TEXT NOT NULL DEFAULT 'default',
CONSTRAINT fk_ef_subject FOREIGN KEY (subject_entity_id) REFERENCES entities(id) ON DELETE CASCADE,
CONSTRAINT fk_ef_object FOREIGN KEY (object_entity_id) REFERENCES entities(id) ON DELETE SET NULL,
CONSTRAINT fk_ef_insight FOREIGN KEY (source_insight_id) REFERENCES photo_insights(id) ON DELETE SET NULL,
CHECK (object_entity_id IS NOT NULL OR object_value IS NOT NULL)
);
INSERT INTO entity_facts
(id, subject_entity_id, predicate, object_entity_id, object_value,
source_photo, source_insight_id, confidence, status, created_at,
persona_id)
SELECT
id, subject_entity_id, predicate, object_entity_id, object_value,
source_photo, source_insight_id, confidence, status, created_at,
persona_id
FROM entity_facts_old;
DROP TABLE entity_facts_old;
CREATE INDEX idx_entity_facts_subject ON entity_facts(subject_entity_id);
CREATE INDEX idx_entity_facts_predicate ON entity_facts(predicate);
CREATE INDEX idx_entity_facts_status ON entity_facts(status);
CREATE INDEX idx_entity_facts_source_photo ON entity_facts(source_photo);
CREATE INDEX idx_entity_facts_persona ON entity_facts(persona_id);
@@ -0,0 +1,82 @@
-- Add a real foreign key from entity_facts to personas. Until now,
-- entity_facts.persona_id was a free-form string with no integrity
-- guarantee — deleting a persona orphaned its facts, which then sat
-- forever in the readable-only-via-PersonaFilter::All hive-mind view.
--
-- personas is keyed (user_id, persona_id) so the FK has to be
-- composite. That requires entity_facts to carry user_id too, which
-- has the side benefit of fixing multi-user fact leakage on the read
-- path (without it, two users with the same 'default' persona would
-- see each other's default-scoped facts).
--
-- SQLite can't ALTER TABLE to add an FK; the table-rebuild dance is
-- the only way. Pattern matches 2026-05-09's down.sql and the older
-- 2026-04-20-000000 migration.
DROP INDEX IF EXISTS idx_entity_facts_subject;
DROP INDEX IF EXISTS idx_entity_facts_predicate;
DROP INDEX IF EXISTS idx_entity_facts_status;
DROP INDEX IF EXISTS idx_entity_facts_source_photo;
DROP INDEX IF EXISTS idx_entity_facts_persona;
ALTER TABLE entity_facts RENAME TO entity_facts_old;
CREATE TABLE entity_facts (
id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
subject_entity_id INTEGER NOT NULL,
predicate TEXT NOT NULL,
object_entity_id INTEGER,
object_value TEXT,
source_photo TEXT,
source_insight_id INTEGER,
confidence REAL NOT NULL DEFAULT 0.6,
status TEXT NOT NULL DEFAULT 'active',
created_at BIGINT NOT NULL,
persona_id TEXT NOT NULL DEFAULT 'default',
user_id INTEGER NOT NULL DEFAULT 1,
CONSTRAINT fk_ef_subject FOREIGN KEY (subject_entity_id) REFERENCES entities(id) ON DELETE CASCADE,
CONSTRAINT fk_ef_object FOREIGN KEY (object_entity_id) REFERENCES entities(id) ON DELETE SET NULL,
CONSTRAINT fk_ef_insight FOREIGN KEY (source_insight_id) REFERENCES photo_insights(id) ON DELETE SET NULL,
CONSTRAINT fk_ef_persona FOREIGN KEY (user_id, persona_id) REFERENCES personas(user_id, persona_id) ON DELETE CASCADE,
CHECK (object_entity_id IS NOT NULL OR object_value IS NOT NULL)
);
-- Backfill: assign each legacy fact to the user that owns the matching
-- persona. Built-ins are seeded per-user with the same persona_id
-- string for everyone, so MIN(user_id) deterministically picks the
-- earliest registered user (typically user 1, the operator). Custom
-- persona_ids exist for at most one user, so MIN is also unique.
-- Falls back to user_id=1 when no matching persona row exists; in that
-- case the FK below would still fail, but legacy rows shouldn't be in
-- that state because 2026-05-09 ADD COLUMN defaulted persona_id to
-- 'default', which is seeded for every user.
INSERT INTO entity_facts
(id, subject_entity_id, predicate, object_entity_id, object_value,
source_photo, source_insight_id, confidence, status, created_at,
persona_id, user_id)
SELECT
old.id,
old.subject_entity_id,
old.predicate,
old.object_entity_id,
old.object_value,
old.source_photo,
old.source_insight_id,
old.confidence,
old.status,
old.created_at,
old.persona_id,
COALESCE(
(SELECT MIN(p.user_id) FROM personas p WHERE p.persona_id = old.persona_id),
1
)
FROM entity_facts_old old;
DROP TABLE entity_facts_old;
CREATE INDEX idx_entity_facts_subject ON entity_facts(subject_entity_id);
CREATE INDEX idx_entity_facts_predicate ON entity_facts(predicate);
CREATE INDEX idx_entity_facts_status ON entity_facts(status);
CREATE INDEX idx_entity_facts_source_photo ON entity_facts(source_photo);
CREATE INDEX idx_entity_facts_persona ON entity_facts(persona_id);
CREATE INDEX idx_entity_facts_user_persona ON entity_facts(user_id, persona_id);
@@ -0,0 +1,5 @@
-- SQLite can drop columns since 3.35 (March 2021); embedded
-- libsqlite3-sys is well past that. Drop in reverse insert order so
-- a partial down still leaves the schema valid.
ALTER TABLE entity_facts DROP COLUMN valid_until;
ALTER TABLE entity_facts DROP COLUMN valid_from;
@@ -0,0 +1,25 @@
-- Add valid-time columns to entity_facts.
--
-- entity_facts already has created_at — *transaction time*, the
-- moment WE recorded the fact. That's not the same as the real-world
-- period the fact was true. "Cameron is_in_relationship_with X" was
-- only true during a window; recording it in 2026 doesn't make it
-- true today. Without the distinction, every former relationship,
-- former job, former address reads as currently-true.
--
-- Adding two BIGINT NULL columns: valid_from / valid_until (unix
-- seconds). NULL means "unbounded on that side" — `valid_from IS
-- NULL` reads as "always-true-back-to-the-beginning",
-- `valid_until IS NULL` as "still-true-now-or-unknown". Both NULL =
-- temporal validity unknown (current state of all legacy rows).
--
-- Conflict detection refines accordingly: same-predicate facts with
-- different objects stop flagging when their intervals are disjoint
-- ("lives_in NYC 2018-2020" and "lives_in SF 2020-present" are both
-- valid, just at different times).
ALTER TABLE entity_facts ADD COLUMN valid_from BIGINT;
ALTER TABLE entity_facts ADD COLUMN valid_until BIGINT;
-- Optional partial index for time-bounded scans. Skipped for now —
-- conflict detection runs per-entity (small N) and doesn't need it.
@@ -0,0 +1,2 @@
DROP INDEX IF EXISTS idx_entity_facts_superseded_by;
ALTER TABLE entity_facts DROP COLUMN superseded_by;
@@ -0,0 +1,31 @@
-- Add a supersession pointer to entity_facts.
--
-- Status alone is a one-way trapdoor: 'rejected' loses the link
-- between the rejected fact and the one that replaced it. For
-- evolving facts (Cameron's relationship, employer, address) the
-- curator wants to *replace* a stale fact with a new one and keep
-- the history readable: "from 2018 until 2022 this was true, then
-- it became this other thing".
--
-- A nullable INTEGER column pointing at another entity_facts.id —
-- no FK constraint because SQLite can't ALTER ADD COLUMN with REFs;
-- the DAO's delete_fact clears dangling pointers in the same
-- transaction as the parent delete to keep the column honest.
--
-- A status of 'superseded' on the old fact (alongside the existing
-- active / reviewed / rejected) signals "replaced by a newer
-- claim". Read paths already filter 'rejected' out of the active
-- view; the curation UI will treat 'superseded' the same way for
-- conflict detection so they don't keep flagging.
--
-- Pairs with the valid-time columns from 2026-05-10-000100: the
-- supersede action auto-stamps the old fact's `valid_until` from
-- the new fact's `valid_from`, closing the interval cleanly.
ALTER TABLE entity_facts ADD COLUMN superseded_by INTEGER;
-- Helpful index for "show me what superseded this fact" walks
-- (rare today; cheap to add now while the table is small).
CREATE INDEX idx_entity_facts_superseded_by
ON entity_facts(superseded_by)
WHERE superseded_by IS NOT NULL;
@@ -0,0 +1,4 @@
DROP INDEX IF EXISTS idx_entity_facts_created_by_backend;
DROP INDEX IF EXISTS idx_entity_facts_created_by_model;
ALTER TABLE entity_facts DROP COLUMN created_by_backend;
ALTER TABLE entity_facts DROP COLUMN created_by_model;
@@ -0,0 +1,30 @@
-- Track which model + backend generated each fact so the curator
-- can audit which configurations produce trustworthy knowledge.
--
-- photo_insights already carries `model_version` + `backend`, and
-- entity_facts.source_insight_id links to it — but:
-- 1. source_insight_id is only set after an insight is stored
-- (post-loop), so chat-continuation facts and facts whose insight
-- was regenerated lose the link.
-- 2. JOINing for every read is more friction than just embedding the
-- provenance on the fact row itself.
-- 3. Manual facts (POST /knowledge/facts) have no insight at all and
-- need to record "manual" as their provenance.
--
-- Two nullable TEXT columns are enough for the audit use case: model
-- (e.g. "qwen2.5:7b", "anthropic/claude-sonnet-4") and backend
-- ("local", "hybrid", "manual"). Pre-existing rows leave both NULL —
-- legacy facts predate this tracking and can't be back-filled
-- reliably from training_messages without burning compute.
ALTER TABLE entity_facts ADD COLUMN created_by_model TEXT;
ALTER TABLE entity_facts ADD COLUMN created_by_backend TEXT;
-- Indexes are cheap and useful for "show me all facts from model X"
-- audit queries — partial so the legacy NULL rows don't bloat them.
CREATE INDEX idx_entity_facts_created_by_model
ON entity_facts(created_by_model)
WHERE created_by_model IS NOT NULL;
CREATE INDEX idx_entity_facts_created_by_backend
ON entity_facts(created_by_backend)
WHERE created_by_backend IS NOT NULL;
@@ -0,0 +1 @@
ALTER TABLE personas DROP COLUMN reviewed_only_facts;
@@ -0,0 +1,16 @@
-- Per-persona toggle: when true, agent reads only see facts whose
-- status is exactly 'reviewed' (human-verified). When false (the
-- default), agent reads see 'active' OR 'reviewed' — everything not
-- rejected or superseded.
--
-- The mobile app surfaces this as "Strict mode" on the persona
-- editor: useful when you want a persona's chat to be grounded
-- exclusively on the curated subset, e.g. for tasks where
-- hallucinated agent claims are particularly costly.
--
-- Note: this is separate from `include_all_memories` (which unions
-- across personas for hive-mind reads). Reviewed-only operates on
-- the status axis; include_all_memories operates on the persona-
-- scope axis. They compose freely.
ALTER TABLE personas ADD COLUMN reviewed_only_facts BOOLEAN NOT NULL DEFAULT 0;
@@ -0,0 +1,5 @@
ALTER TABLE personas DROP COLUMN allow_agent_corrections;
DROP INDEX IF EXISTS idx_entity_facts_last_modified_at;
ALTER TABLE entity_facts DROP COLUMN last_modified_at;
ALTER TABLE entity_facts DROP COLUMN last_modified_by_backend;
ALTER TABLE entity_facts DROP COLUMN last_modified_by_model;
@@ -0,0 +1,30 @@
-- Three coupled changes for agent self-correction safety:
--
-- 1. `entity_facts.last_modified_by_*` + `last_modified_at` track who
-- most recently mutated each fact. `created_by_*` from migration
-- 2026-05-10-000300 records who first wrote the row; this records
-- who last *changed* it. Separate columns so the create vs update
-- audit is independently grep-able ("show me every fact gpt-5
-- altered last week" stays a single index scan).
--
-- 2. `personas.allow_agent_corrections` is the gate for the new
-- agent-side `update_fact` / `supersede_fact` tools. Default OFF —
-- a fresh persona's agent can create but can't alter or replace.
-- Operator opts in per-persona after the model has earned trust,
-- typically via the strict-mode flow (curate, then ratchet up
-- agent autonomy as confidence rises). Parallel in shape to
-- `reviewed_only_facts` from 2026-05-10-000400; they compose.
--
-- 3. Index on `last_modified_at` (partial, NOT NULL) for the
-- audit-feed reads in the curation UI ("show recent agent edits
-- sorted newest first").
ALTER TABLE entity_facts ADD COLUMN last_modified_by_model TEXT;
ALTER TABLE entity_facts ADD COLUMN last_modified_by_backend TEXT;
ALTER TABLE entity_facts ADD COLUMN last_modified_at BIGINT;
CREATE INDEX idx_entity_facts_last_modified_at
ON entity_facts(last_modified_at)
WHERE last_modified_at IS NOT NULL;
ALTER TABLE personas ADD COLUMN allow_agent_corrections BOOLEAN NOT NULL DEFAULT 0;
@@ -0,0 +1,6 @@
-- Irreversible: we collapsed multiple raw entity_type strings to
-- canonical forms and don't have a per-row record of the original.
-- The down migration is intentionally a no-op (the rewritten values
-- are still semantically correct), and the up migration is safe to
-- re-run because every UPDATE is conditional on `!= canonical`.
SELECT 1;
@@ -0,0 +1,43 @@
-- Canonicalize `entities.entity_type` so legacy rows from before
-- `normalize_entity_type` landed in upsert_entity stop polluting
-- client-side filters. Mirrors the synonym map in
-- `src/database/knowledge_dao.rs::normalize_entity_type`:
-- person ← person | people | human | individual | contact
-- place ← place | location | venue | site | area | landmark
-- event ← event | occasion | activity | celebration
-- thing ← thing | object | item | product
-- Types outside the synonym set (e.g. "friend", "family") are not
-- recognized as canonical and get a lowercase+trim pass instead, so
-- at minimum case variants collapse.
--
-- `UPDATE OR IGNORE` skips rows that would violate UNIQUE(name,
-- entity_type) after the rewrite. Two rows like ("Sarah", "person")
-- + ("Sarah", "Person") would otherwise collide — the duplicate
-- survives unchanged so the curator can merge it via the curation
-- UI rather than have the migration silently delete data.
UPDATE OR IGNORE entities
SET entity_type = 'person'
WHERE LOWER(TRIM(entity_type)) IN ('person', 'people', 'human', 'individual', 'contact')
AND entity_type != 'person';
UPDATE OR IGNORE entities
SET entity_type = 'place'
WHERE LOWER(TRIM(entity_type)) IN ('place', 'location', 'venue', 'site', 'area', 'landmark')
AND entity_type != 'place';
UPDATE OR IGNORE entities
SET entity_type = 'event'
WHERE LOWER(TRIM(entity_type)) IN ('event', 'occasion', 'activity', 'celebration')
AND entity_type != 'event';
UPDATE OR IGNORE entities
SET entity_type = 'thing'
WHERE LOWER(TRIM(entity_type)) IN ('thing', 'object', 'item', 'product')
AND entity_type != 'thing';
-- Anything left ("Friend" vs "friend") gets a lowercase+trim sweep
-- so at least case variants of the same custom type collapse.
UPDATE OR IGNORE entities
SET entity_type = LOWER(TRIM(entity_type))
WHERE entity_type != LOWER(TRIM(entity_type));
@@ -0,0 +1,5 @@
DROP INDEX IF EXISTS idx_image_exif_date_backfill;
CREATE INDEX idx_image_exif_date_backfill
ON image_exif (library_id, id)
WHERE date_taken IS NULL OR date_taken_source = 'fs_time';
@@ -0,0 +1,18 @@
-- Narrow the date-backfill partial index to NULL-only rows.
--
-- The original index (2026-05-06-000000_add_date_taken_source) also matched
-- `date_taken_source = 'fs_time'` so the drain could "re-resolve weak
-- entries when better tools become available." In practice the resolver
-- is deterministic on file bytes + filename + fs metadata: a row that
-- landed on fs_time once will land on fs_time again on every subsequent
-- tick. With `ORDER BY id ASC LIMIT 500`, the drain spun on the same
-- lowest-id fs_time rows in perpetuity, never advancing, while hammering
-- the SQLite write lock once per row and starving other writers (face
-- PATCHes were hitting busy_timeout and returning 500). Drop fs_time
-- from the eligibility set; if exiftool / a new filename pattern ever
-- comes online, a one-shot operator command can re-resolve.
DROP INDEX IF EXISTS idx_image_exif_date_backfill;
CREATE INDEX idx_image_exif_date_backfill
ON image_exif (library_id, id)
WHERE date_taken IS NULL;
+392
View File
@@ -0,0 +1,392 @@
# Insight Chat improvements — design
**Date:** 2026-05-07
**Branch:** `feature/insight-chat-improvements` (in both `ImageApi/` and `FileViewer-React/`)
**Scope:** ImageApi photo-anchored insight + chat surface, plus the
FileViewer-React client. Apollo's free/visit chat is **not** in this cycle.
## Problem
Three concrete gaps in today's insight + chat surface:
1. **Tool drift.** ImageApi exposes 13 tools to the LLM. Some are gated on
`apollo_enabled` / `has_vision`, but several optional ones
(`search_rag`, `get_calendar_events`, `get_location_history`) are
registered unconditionally even when their backing tables are empty.
Descriptions vary in quality and a couple have outright bugs.
2. **Inconsistent / incomplete tool descriptions.** Tools like
`search_messages` describe their selection rules but omit useful
examples; `store_fact` doesn't show the `object_entity_id` vs
`object_value` choice; `get_sms_messages` accepts a `days_radius`
parameter that the backing client silently ignores. The LLM is being
instructed against a slightly wrong reality.
3. **System prompt fights the persona.** Today's generation prompt
prepends the user's `custom_system_prompt` and then immediately asserts
`"You are a personal photo memory assistant..."`. The user message
demands `"a detailed insight with a title and summary"`. Both
contradict whatever voice / shape / POV the persona just established.
On chat continuation the persona is baked into the stored transcript at
generation time and can't be changed without regenerating.
## Goals
- Tool catalog is **representative** — every tool registered for a turn is
backed by data the user actually has.
- Tool descriptions are **concise but complete**, with examples for any
tool whose param choice has multiple modes or non-obvious interactions.
- Persona / system prompt is **authoritative** for voice, length, and
shape — both at generation and during chat continuation.
- Per-turn system prompt overrides on chat work without surprising
side-effects on the stored transcript outside `amend` mode.
## Non-goals
- Apollo backend / frontend changes. Separate cycle.
- Refactoring the `generate_photo_title` post-hoc title flow. Already
takes `custom_system_prompt`.
- Tool consolidation (e.g. merging `search_messages` + `get_sms_messages`).
Considered and deferred — keeps blast radius small.
- Removing knowledge-memory tools (`recall_*` / `store_*`). Audit
confirmed they have a live read path via `knowledge.rs` HTTP routes.
- Persisting persona changes to the stored transcript outside `amend`
mode. Deliberate — re-opens use the persona currently active in the
client, not a sticky historical setting.
---
## Design
### A. System prompt — generation
Today (`insight_generator.rs:33053326`):
```
[custom_system_prompt if any] +
"You are a personal photo memory assistant helping to reconstruct..." +
{owner_id_note} +
{fewshot_block} +
"IMPORTANT INSTRUCTIONS:
1. You MUST call multiple tools...
2. When calling get_sms_messages and search_rag...
3. Use recall_facts_for_photo...
...
8. You have a hard budget of {max_iterations} iterations..."
```
The first concatenation is the bug: `custom` claims one identity, the
next line asserts another.
**New structure** — two named blocks, in order:
```
[Identity / voice / format block] ← persona-controlled (or neutral default)
[Procedural block] ← always identity-free
```
**Identity block:**
- When `custom_system_prompt` is supplied: use that string verbatim, no
pre/append.
- When not: a neutral default that doesn't fight a future persona.
Working text: `"You are reconstructing a memory from a photo. Use the
gathered context to write a thoughtful summary; you decide voice,
length, and shape."`
**Procedural block** — identity-free, always emitted:
```
Tool-use guidance:
- You have a budget of {max_iterations} tool-calling iterations.
- Call tools to gather context BEFORE writing your final answer; don't
answer after one or two calls.
- When calling get_sms_messages or search_rag, make at least one call
WITHOUT a contact filter — surrounding events matter even when a
contact is known.
- Use recall_facts_for_photo + recall_entities to load any prior
knowledge about subjects in the photo.
- When you identify people / places / events / things, use store_entity
+ store_fact to grow the persistent memory.
- A tool returning no results is informative; continue with the others.
{owner_id_note if applicable}
{fewshot_block if applicable}
```
Differences from today's "IMPORTANT INSTRUCTIONS" block: removed the
"you are a personal photo memory assistant" framing and the explicit
"at least 5 tool calls" floor (replaced with the softer "don't answer
after one or two"). Few-shot stays — it's pattern-of-tool-use, not
identity.
### B. User message — generation
Today (line 3357):
```
{visual_block}Please analyze this photo and gather any relevant context
from the surrounding weeks.
Photo file path: {file_path}
Date taken: {date}
{contact_info}
{gps_info}
{tags_info}
Use the available tools to gather more context about this moment
(messages, calendar events, location history, etc.), then write a
detailed insight with a title and summary.
```
Problems: the trailing line bakes in output shape ("title and
summary"), and the title from the resulting response is **discarded
anyway** — `generate_photo_title` (line 3494) regenerates the title
post-hoc from the summary. So the prompt is constraining voice for no
data-model benefit.
**New payload** — context-only, no output prescription:
```
{visual_block}Photo file path: {file_path}
Date taken: {date}
{contact_info}
{gps_info}
{tags_info}
Gather context with the available tools, then respond.
```
The persona owns shape. If a user wants "title-then-paragraph" output,
their persona prompt says so.
### C. System prompt — chat continuation
Add `system_prompt: Option<String>` to `ChatTurnRequest` (and to its
HTTP wrapper `ChatTurnHttpRequest`). It carries through both the
non-streaming `chat_turn` and the streaming `chat_turn_stream`.
**Append mode (default, `amend=false`)** — ephemeral
swap-and-restore, mirroring the existing `annotate_system_with_budget`
pattern:
1. Load stored transcript.
2. If `system_prompt` is `Some(s)`:
- If first message is a `system` role: stash original content,
replace with `s`.
- Else: prepend a synthetic ephemeral system message with `s` (note
it's synthetic so the restore step pops it rather than rewriting).
3. Run `annotate_system_with_budget` on top (existing per-turn budget
note appends to whatever's there now).
4. Run the agentic loop.
5. **Before persistence**, restore the original system content (or pop
the synthetic one). Run `restore_system_content` for the budget
annotation as today.
6. Save.
Result: the model sees the override; the stored transcript is
unchanged outside the model's actual reply.
**Amend mode (`amend=true`)**:
- If `system_prompt` is supplied: the override stays in place during
the serialization for the new insight row. The new row's
`training_messages` system message is the override. `is_current=false`
flips on prior rows as today.
- If not supplied: behaves as today (stored transcript's system message
carries forward unchanged).
### D. FileViewer-React — client wiring
`hooks/useInsightChat.tsx`:
- `SendTurnOptions` gains `systemPromptOverride?: string | null`.
- Inside `sendTurn`, before issuing the streaming POST:
1. Read the active persona's `systemPrompt` from AsyncStorage
(already loaded for generation flows — reuse the same accessor).
2. If a one-shot `systemPromptOverride` is set, append as a suffix
(`${persona}\n\n${override}`) so persona voice survives + override
tweaks the turn.
3. Include the resulting string as `system_prompt` on the request body.
- No history-load change. The history endpoint still returns the stored
transcript.
`components/InsightChatModal.tsx`:
- Add a small "Style note" composer affordance — a one-shot text input
that, when filled, becomes the `systemPromptOverride` for the next
send. Cleared after send.
- The existing persona chip continues to open `PersonaManagerModal`.
`hooks/usePersonas.tsx` and the bundled defaults:
- Built-in `assistant` and `journal` prompts get audited and rewritten
to **explicitly state voice / shape / length** — since the framework
no longer guarantees a default shape, the persona must.
### E. Tool catalog — gating
Widen `build_tool_definitions` from `(has_vision: bool, apollo_enabled:
bool)` to a single `ToolGateOpts` struct:
```rust
pub struct ToolGateOpts {
pub has_vision: bool,
pub apollo_enabled: bool,
pub daily_summaries_present: bool,
pub calendar_present: bool,
pub location_history_present: bool,
}
```
The chat / generation services compute the three new fields lazily per
turn via `SELECT 1 FROM <table> LIMIT 1` (cheap; cached for the turn's
duration). Lazy because operators import data after launch and we don't
want to require a restart for the LLM to discover its new capabilities.
Per-tool gating:
| Tool | Existing gate | New gate |
|---|---|---|
| `describe_photo` | `has_vision` | unchanged |
| `get_personal_place_at` | `apollo_enabled` | unchanged |
| `get_calendar_events` | none | `calendar_present` |
| `get_location_history` | none | `location_history_present` |
| `search_rag` | none | `daily_summaries_present` |
All other tools always-on. (`get_sms_messages` and `search_messages`
fail informatively if SMS-API is unreachable; not worth a startup probe
since intermittent failures are the same shape.)
### F. Tool descriptions — convention
Every description follows:
1. One sentence: **what** + **when to call**.
2. Param semantics worth knowing (units, ranges, mode behavior,
precedence).
3. **Example invocation** for tools with multiple modes, optional bands,
or non-obvious parameter interactions.
4. Cross-references when relevant: `prefer X when both apply`.
Banned: all-caps section headers inside descriptions
(`"CONTENT search"`, `"TIME-BASED fetch"`); persona-prescriptive language
(`"you are a..."`); behavioral references to other tools by description
rather than name.
Tools getting examples: `search_messages`, `search_rag`, `store_fact`,
`get_sms_messages`. Trivial tools (`get_current_datetime`,
`reverse_geocode`, `get_file_tags`) skip the example.
Sample (`search_messages`):
> Search SMS/MMS message bodies. Modes: `fts5` (keyword + phrase + prefix
> + AND/OR/NOT + NEAR proximity), `semantic` (embedding similarity,
> requires generated embeddings), `hybrid` (RRF merge, recommended;
> degrades to `fts5` when embeddings absent). Optional `start_ts` /
> `end_ts` (real-UTC unix seconds) and `contact_id` filters. For pure
> date / contact browsing without keywords, prefer `get_sms_messages`.
>
> Examples:
> - `{query: "trader joe's"}` — phrase across all time.
> - `{query: "dinner", contact_id: 42, start_ts: 1700000000, end_ts: 1700604800}`
> — keyword within a contact and a week.
> - `{query: "NEAR(meeting work, 5)"}` — proximity search.
### G. SMS tool fixes
#### `get_sms_messages` — honor `days_radius`
Today: `sms_client::fetch_messages_for_contact(contact, center_ts)`
hardcodes `Duration::days(4)` (lines 3137). The tool accepts
`days_radius` and silently ignores it.
**Fix:** widen the signature to
`fetch_messages_for_contact(contact, center_ts, days_radius)`. Tool
plumbs through. Default 4 retained for back-compat.
#### `search_messages` — add date and contact_id filters
Today: ImageApi's `search_messages` only forwards `query`, `mode`,
`limit` to SMS-API.
**Fix:** add `start_ts`, `end_ts`, `contact_id` parameters.
- `contact_id` forwards directly to SMS-API
(`/api/messages/search/?contact_id=`).
- `start_ts` / `end_ts` are not natively accepted by SMS-API's search
endpoint. Apply client-side post-filter on the response (Apollo's
pattern: `chat_tools.py:670680`). Bump the SMS-API `limit` to a
larger fetch pool when a date filter is supplied so in-window matches
aren't lost to out-of-window FTS rank.
---
## Implementation sequencing
Each step is independently mergeable.
### ImageApi PRs
1. **Split system-prompt assembly + neutralize user message.** Two
named blocks; user message context-only. Default identity string
added. Tests: golden snapshots of the resulting `system_content`
with and without `custom_system_prompt`.
2. **`system_prompt` field on chat request + swap/restore + amend
persistence.** Mirrors `annotate_system_with_budget` pattern. Tests:
round-trip system content unchanged in append mode; persisted in
amend mode.
3. **`fetch_messages_for_contact` honors `days_radius`.** Tool wires
the param through. Tests: window math at the client level.
4. **`ToolGateOpts` + per-tool description rewrites.** Description
text changes are the bulk of the diff but no behavior change beyond
gating.
### FileViewer-React PR
5. **Chat hook sends `system_prompt`; modal gets style-note input;
built-in personas updated to specify shape.** The
`useInsightChat.sendTurn` call site picks up the persona and
includes it on every chat turn body. Style-note input is a one-shot
suffix.
## Testing & verification
**Automated:**
- Unit (Rust): swap-and-restore round-trip preserves stored transcript.
- Unit (Rust): amend mode persists override into new insight row.
- Unit (Rust): `fetch_messages_for_contact(days_radius=N)` produces a
window of `2N` days centered on `center_ts`.
- Unit (Rust): `build_tool_definitions(opts)` excludes gated tools when
the corresponding flag is false.
**Manual:**
- Run a chat turn against an existing insight without `system_prompt`
output unchanged from baseline.
- Same insight, with override → output reflects new voice.
- Re-open chat → original baked persona still authoritative (override
was ephemeral).
- Regenerate an insight with the journal persona → model's voice
matches journal style; no "memory assistant" framing leaks through.
- Toggle data presence (delete a row from `calendar_events`) → tool
drops from the catalog on the next turn.
## Risks
- **Default identity wording matters.** A too-neutral default ("Use the
gathered context to write a summary") might produce flatter output
than today's "personal photo memory assistant" framing for users
who never set a persona. Mitigation: tune the default with a small
set of test photos before merging.
- **Persona-suffix style notes can contradict persona voice.** A user
who picks `journal` (first person, warm) and adds the style note
"respond in bullet points" will get a tonal collision. Acceptable —
the user expressed a per-turn intent and we honor it. Document the
composition rule in the persona-manager UI.
- **Lazy data-presence probes add a per-turn `SELECT 1`.** Negligible
on SQLite (sub-millisecond) but adds up across many turns. Cache the
result for the turn's duration; don't re-probe per-tool.
## Open questions
None blocking. Items deferred to a possible follow-up cycle:
- Apollo parity for the same per-turn override pattern (already
present; just needs RN client wiring on the photo path which is
already proxy).
- Tool consolidation (`search_messages` + `get_sms_messages`
single `search_messages` with optional date filter, Apollo-style).
Considered and deferred — separate spec.
+4 -1
View File
@@ -383,7 +383,10 @@ mod tests {
// body cap and rejected normal-size photos before they reached
// the backend.
assert!(is_transient(&classify_error_response(408, "")));
assert!(is_transient(&classify_error_response(413, "<html>nginx</html>")));
assert!(is_transient(&classify_error_response(
413,
"<html>nginx</html>"
)));
assert!(is_transient(&classify_error_response(429, "{}")));
}
+71 -13
View File
@@ -48,6 +48,11 @@ pub struct GeneratePhotoInsightRequest {
/// falls back to `DEFAULT_FEWSHOT_INSIGHT_IDS`.
#[serde(default)]
pub fewshot_insight_ids: Option<Vec<i32>>,
/// Active persona id for this generation. New facts are tagged with
/// it (`entity_facts.persona_id`); recall during the agentic loop is
/// scoped to it. Defaults to `"default"` when absent.
#[serde(default)]
pub persona_id: Option<String>,
}
#[derive(Debug, Deserialize)]
@@ -300,11 +305,14 @@ pub async fn get_all_insights_handler(
#[post("/insights/generate/agentic")]
pub async fn generate_agentic_insight_handler(
http_request: HttpRequest,
_claims: Claims,
claims: Claims,
request: web::Json<GeneratePhotoInsightRequest>,
insight_generator: web::Data<InsightGenerator>,
insight_dao: web::Data<std::sync::Mutex<Box<dyn InsightDao>>>,
) -> impl Responder {
// Service tokens (sub: "service:apollo") fall through to user_id=1
// — the operator convention. Mobile/web clients have a numeric sub.
let user_id = claims.sub.parse::<i32>().unwrap_or(1);
let parent_context = extract_context_from_request(&http_request);
let tracer = global_tracer();
let mut span = tracer.start_with_context("http.insights.generate_agentic", &parent_context);
@@ -376,6 +384,13 @@ pub async fn generate_agentic_insight_handler(
.collect()
};
let persona_id = request
.persona_id
.clone()
.filter(|s| !s.trim().is_empty())
.unwrap_or_else(|| "default".to_string());
span.set_attribute(KeyValue::new("persona_id", persona_id.clone()));
let result = insight_generator
.generate_agentic_insight_for_photo(
&normalized_path,
@@ -390,6 +405,8 @@ pub async fn generate_agentic_insight_handler(
request.backend.clone(),
fewshot_examples,
fewshot_ids,
user_id,
persona_id,
)
.await;
@@ -640,8 +657,23 @@ pub struct ChatTurnHttpRequest {
pub min_p: Option<f32>,
#[serde(default)]
pub max_iterations: Option<usize>,
/// Per-turn system-prompt override. Ephemeral in append mode,
/// persisted in amend / regenerate mode. See ChatTurnRequest for
/// semantics. Also seeds the bootstrap path when no insight exists.
#[serde(default)]
pub system_prompt: Option<String>,
/// Active persona id for this turn. New facts/recalls scope to it.
/// Defaults to `"default"` when missing.
#[serde(default)]
pub persona_id: Option<String>,
#[serde(default)]
pub amend: bool,
/// When true, force the bootstrap path even if an insight already
/// exists: flip the existing row(s) to `is_current=false` and create
/// a new insight row from this turn. Takes precedence over `amend`.
/// Collapses to a normal bootstrap when no insight exists.
#[serde(default)]
pub regenerate: bool,
}
#[derive(Debug, Serialize)]
@@ -664,7 +696,7 @@ pub struct ChatTurnHttpResponse {
#[post("/insights/chat")]
pub async fn chat_turn_handler(
http_request: HttpRequest,
_claims: Claims,
claims: Claims,
request: web::Json<ChatTurnHttpRequest>,
app_state: web::Data<AppState>,
) -> impl Responder {
@@ -683,8 +715,14 @@ pub async fn chat_turn_handler(
}
};
// Service-token claims (sub: "service:apollo") fall through to
// user_id=1 — the operator convention. Mobile/web clients have a
// numeric sub. Required for the entity_facts composite FK.
let user_id = claims.sub.parse::<i32>().unwrap_or(1);
let chat_req = ChatTurnRequest {
library_id: library.id,
user_id,
file_path: request.file_path.clone(),
user_message: request.user_message.clone(),
model: request.model.clone(),
@@ -695,7 +733,10 @@ pub async fn chat_turn_handler(
top_k: request.top_k,
min_p: request.min_p,
max_iterations: request.max_iterations,
system_prompt: request.system_prompt.clone(),
persona_id: request.persona_id.clone(),
amend: request.amend,
regenerate: request.regenerate,
};
match app_state.insight_chat.chat_turn(chat_req).await {
@@ -833,15 +874,18 @@ pub async fn chat_history_handler(
query: web::Query<ChatHistoryQuery>,
app_state: web::Data<AppState>,
) -> impl Responder {
// library param parsed for parity with other insight endpoints, even
// though load_history currently keys on file_path alone (matches the
// existing get_insight DAO contract).
let _library = libraries::resolve_library_param(&app_state, query.library.as_deref())
// library_id scopes the lookup so a regenerate on this library
// isn't shadowed by an untouched is_current=true row in another
// library for the same rel_path. load_history falls back to the
// cross-library lookup when the scoped one misses, so a photo
// with no insight in this library but one in another still
// surfaces (the "show this photo's primary insight" merge case).
let library = libraries::resolve_library_param(&app_state, query.library.as_deref())
.ok()
.flatten()
.unwrap_or_else(|| app_state.primary_library());
match app_state.insight_chat.load_history(&query.path) {
match app_state.insight_chat.load_history(library.id, &query.path) {
Ok(view) => HttpResponse::Ok().json(ChatHistoryHttpResponse {
messages: view
.messages
@@ -883,7 +927,7 @@ pub async fn chat_history_handler(
/// Returns `text/event-stream` with one event per chat stream event.
#[post("/insights/chat/stream")]
pub async fn chat_stream_handler(
_claims: Claims,
claims: Claims,
request: web::Json<ChatTurnHttpRequest>,
app_state: web::Data<AppState>,
) -> HttpResponse {
@@ -897,8 +941,12 @@ pub async fn chat_stream_handler(
}
};
// Service-token sub falls through to user_id=1 (see chat_turn_handler).
let user_id = claims.sub.parse::<i32>().unwrap_or(1);
let chat_req = ChatTurnRequest {
library_id: library.id,
user_id,
file_path: request.file_path.clone(),
user_message: request.user_message.clone(),
model: request.model.clone(),
@@ -909,7 +957,10 @@ pub async fn chat_stream_handler(
top_k: request.top_k,
min_p: request.min_p,
max_iterations: request.max_iterations,
system_prompt: request.system_prompt.clone(),
persona_id: request.persona_id.clone(),
amend: request.amend,
regenerate: request.regenerate,
};
let service = app_state.insight_chat.clone();
@@ -961,8 +1012,9 @@ fn render_sse_frame(ev: &ChatStreamEvent) -> String {
tool_calls_made,
iterations_used,
truncated,
prompt_eval_count,
eval_count,
prompt_tokens,
eval_tokens,
num_ctx,
amended_insight_id,
backend_used,
model_used,
@@ -972,14 +1024,20 @@ fn render_sse_frame(ev: &ChatStreamEvent) -> String {
"tool_calls_made": tool_calls_made,
"iterations_used": iterations_used,
"truncated": truncated,
"prompt_eval_count": prompt_eval_count,
"eval_count": eval_count,
"prompt_tokens": prompt_tokens,
"eval_tokens": eval_tokens,
"num_ctx": num_ctx,
"amended_insight_id": amended_insight_id,
"backend": backend_used,
"model": model_used,
}),
),
ChatStreamEvent::Error(msg) => ("error", serde_json::json!({ "message": msg })),
// Apollo's frontend SSE consumer (and its free-chat backend, which
// is the de-facto convention) listens for `error_message`. Emitting
// `error` here meant any failure on the photo-chat path (e.g.
// "no insight found for path") was silently dropped, leaving an
// empty assistant bubble with no clue why the turn died.
ChatStreamEvent::Error(msg) => ("error_message", serde_json::json!({ "message": msg })),
};
let data = serde_json::to_string(&payload).unwrap_or_else(|_| "{}".to_string());
format!("event: {}\ndata: {}\n\n", event_name, data)
+971 -152
View File
File diff suppressed because it is too large Load Diff
+1103 -327
View File
File diff suppressed because it is too large Load Diff
+1
View File
@@ -8,6 +8,7 @@ pub mod llm_client;
pub mod ollama;
pub mod openrouter;
pub mod sms_client;
pub mod tag_client;
// strip_summary_boilerplate is used by binaries (test_daily_summary), not the library
#[allow(unused_imports)]
+97 -19
View File
@@ -20,31 +20,36 @@ impl SmsApiClient {
}
}
/// Fetch messages for a specific contact within ±4 days of the given timestamp
/// Falls back to all contacts if no messages found for the specific contact
/// Messages are sorted by proximity to the center timestamp
/// Compute a `[start, end]` unix-second window of `2 * radius_days`
/// centered on `center_ts`. `radius_days < 1` is clamped to 1 to avoid
/// degenerate zero-width windows.
pub(crate) fn window_for_radius(center_ts: i64, radius_days: i64) -> (i64, i64) {
let r = radius_days.max(1);
let span = r * 86400;
(center_ts - span, center_ts + span)
}
/// Fetch messages for a specific contact within ±`radius_days` of the
/// given timestamp. Falls back to all contacts when no messages found
/// for the named contact. Sorted by proximity to the center timestamp.
pub async fn fetch_messages_for_contact(
&self,
contact: Option<&str>,
center_timestamp: i64,
radius_days: i64,
) -> Result<Vec<SmsMessage>> {
use chrono::Duration;
let effective_radius = radius_days.max(1);
let (start_ts, end_ts) = Self::window_for_radius(center_timestamp, radius_days);
// Calculate ±4 days range around the center timestamp
let center_dt = chrono::DateTime::from_timestamp(center_timestamp, 0)
.ok_or_else(|| anyhow::anyhow!("Invalid timestamp"))?;
let start_dt = center_dt - Duration::days(4);
let end_dt = center_dt + Duration::days(4);
let start_ts = start_dt.timestamp();
let end_ts = end_dt.timestamp();
// If contact specified, try fetching for that contact first
if let Some(contact_name) = contact {
log::info!(
"Fetching SMS for contact: {} (±4 days from {})",
"Fetching SMS for contact: {} (±{} days from {})",
contact_name,
effective_radius,
center_dt.format("%Y-%m-%d %H:%M:%S")
);
let messages = self
@@ -68,7 +73,8 @@ impl SmsApiClient {
// Fallback to all contacts
log::info!(
"Fetching all SMS messages (±4 days from {})",
"Fetching all SMS messages (±{} days from {})",
effective_radius,
center_dt.format("%Y-%m-%d %H:%M:%S")
);
self.fetch_messages(start_ts, end_ts, None, Some(center_timestamp))
@@ -251,23 +257,45 @@ impl SmsApiClient {
}
/// Search message bodies via the Django side's FTS5 / semantic / hybrid
/// endpoint. `mode` selects the ranking strategy:
/// endpoint. `params.mode` selects the ranking strategy:
/// - "fts5" keyword-only, supports phrase / prefix / boolean / NEAR
/// - "semantic" embedding similarity
/// - "hybrid" both merged via reciprocal rank fusion (recommended)
///
/// All of `contact_id`, `date_from` / `date_to` (unix seconds), `is_mms`,
/// `has_media`, and `offset` are pushed to SMS-API server-side so the
/// filtered+paginated result set is exact rather than a client-side
/// over-fetch.
pub async fn search_messages(
&self,
query: &str,
mode: &str,
limit: usize,
params: &SmsSearchParams<'_>,
) -> Result<Vec<SmsSearchHit>> {
let url = format!(
let mut url = format!(
"{}/api/messages/search/?q={}&mode={}&limit={}",
self.base_url,
urlencoding::encode(query),
urlencoding::encode(mode),
limit
urlencoding::encode(params.mode),
params.limit,
);
if let Some(cid) = params.contact_id {
url.push_str(&format!("&contact_id={}", cid));
}
if let Some(off) = params.offset {
url.push_str(&format!("&offset={}", off));
}
if let Some(from) = params.date_from {
url.push_str(&format!("&date_from={}", from));
}
if let Some(to) = params.date_to {
url.push_str(&format!("&date_to={}", to));
}
if let Some(is_mms) = params.is_mms {
url.push_str(&format!("&is_mms={}", is_mms));
}
if let Some(has_media) = params.has_media {
url.push_str(&format!("&has_media={}", has_media));
}
let mut request = self.client.get(&url);
if let Some(token) = &self.token {
@@ -370,6 +398,30 @@ pub struct SmsSearchHit {
/// Present for semantic / hybrid modes; absent for fts5.
#[serde(default)]
pub similarity_score: Option<f32>,
/// SMS-API-generated excerpt around the match, wrapped in `<mark>` tags.
/// For MMS messages that only matched via attachment text / filename
/// (empty `body`), the snippet is the only meaningful preview.
#[serde(default)]
pub snippet: Option<String>,
}
/// Optional filter / paging knobs for [`SmsApiClient::search_messages`].
/// All fields except `mode` and `limit` map 1:1 to the same-named SMS-API
/// query params (added in the 2026-05 search-enhancements release).
#[derive(Debug, Clone)]
pub struct SmsSearchParams<'a> {
pub mode: &'a str,
pub limit: usize,
pub contact_id: Option<i64>,
/// Unix-seconds inclusive lower bound on `date`.
pub date_from: Option<i64>,
/// Unix-seconds inclusive upper bound on `date`.
pub date_to: Option<i64>,
/// `Some(true)` = MMS only, `Some(false)` = SMS only, `None` = both.
pub is_mms: Option<bool>,
/// `Some(true)` = only messages with image/video/audio attachments.
pub has_media: Option<bool>,
pub offset: Option<usize>,
}
#[derive(Deserialize)]
@@ -379,3 +431,29 @@ struct SmsSearchResponse {
#[serde(default)]
search_method: String,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn window_for_radius_produces_2n_day_span() {
let center: i64 = 1_700_000_000;
let (start, end) = SmsApiClient::window_for_radius(center, 7);
assert_eq!(end - start, 14 * 86400);
assert_eq!(start + 7 * 86400, center);
assert_eq!(end - 7 * 86400, center);
}
#[test]
fn window_for_radius_clamps_zero_to_one() {
let (start, end) = SmsApiClient::window_for_radius(100_000, 0);
assert_eq!(end - start, 2 * 86400);
}
#[test]
fn window_for_radius_clamps_negative_to_one() {
let (start, end) = SmsApiClient::window_for_radius(100_000, -7);
assert_eq!(end - start, 2 * 86400);
}
}
+319
View File
@@ -0,0 +1,319 @@
//! Thin async HTTP client for Apollo's `/api/internal/tags/*` endpoints.
//!
//! Apollo hosts the RAM++ auto-tag inference service alongside insightface.
//! This client is the ImageApi side — shove image bytes through `/auto` and
//! get back a list of `(name, confidence)` predictions over RAM++'s
//! ~4585-tag vocabulary.
//!
//! Mirrors `face_client.rs` shape: optional base URL (None = disabled), one
//! reqwest client with a generous timeout because GPU inference under a
//! backlog can queue server-side (Apollo's threadpool is bounded to 1
//! worker on CUDA).
//!
//! Configured via `APOLLO_TAG_API_BASE_URL`, falling back to
//! `APOLLO_API_BASE_URL` when the dedicated var is unset (single-Apollo
//! deploys are the common case). Both unset → `is_enabled()` returns false
//! and the probe binary / future backlog drain no-op.
//!
//! Wire format: multipart/form-data with `file=<bytes>` and `meta=<json>`.
//! `meta` carries `{content_hash, library_id, rel_path, threshold?}` —
//! Apollo logs the path/lib for traceability and reads `threshold` to
//! override the engine default for that call (the probe binary uses this
//! to sweep without restarting Apollo).
//!
//! Error mapping (reflected in [`TagDetectError`]):
//! - 422 `decode_failed` → permanent: ImageApi marks `status='failed'` and
//! doesn't retry until a manual rerun.
//! - 200 with `tags:[]` → `status='no_tags'` marker (success-with-zero).
//! - 503 `cuda_oom` / `engine_unavailable` → defer-and-retry: no marker
//! written.
//! - Any other 5xx / network error → defer.
use anyhow::{Context, Result};
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::time::Duration;
#[derive(Debug, Clone, Serialize)]
pub struct TagMeta {
pub content_hash: String,
pub library_id: i32,
pub rel_path: String,
/// Per-call threshold override. Apollo's engine default (0.68 for
/// ram_plus_swin_large_14m) is used when unset. The probe binary
/// uses this to sweep without restarting Apollo.
#[serde(skip_serializing_if = "Option::is_none")]
pub threshold: Option<f32>,
}
#[derive(Debug, Clone, Deserialize)]
pub struct TagPrediction {
pub name: String,
pub confidence: f32,
}
#[derive(Debug, Clone, Deserialize)]
pub struct TagResponse {
pub model_version: String,
pub duration_ms: i64,
pub threshold: f32,
pub tags: Vec<TagPrediction>,
}
#[derive(Debug, Clone, Deserialize)]
#[allow(dead_code)] // Reported by Apollo; load_error consumed by future health probe
pub struct TagHealth {
pub loaded: bool,
pub device: String,
pub model_version: String,
pub image_size: i32,
pub threshold: f32,
#[serde(default)]
pub load_error: Option<String>,
}
/// Distinguishes permanent failures (don't retry) from transient ones
/// (defer and retry on next scan tick). Mirrors `FaceDetectError` so the
/// future backlog drain can use the same marker-row decision tree.
#[derive(Debug)]
pub enum TagDetectError {
/// Apollo refused the bytes for a reason that won't change on retry
/// (decode failure, zero-dim image). Mark `status='failed'`.
Permanent(anyhow::Error),
/// Apollo couldn't process this turn but might next time (CUDA OOM,
/// engine not loaded yet, network hiccup). Don't mark anything.
Transient(anyhow::Error),
/// Feature is disabled (no APOLLO_TAG_API_BASE_URL / APOLLO_API_BASE_URL).
/// Caller should silently no-op.
Disabled,
}
impl std::fmt::Display for TagDetectError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
TagDetectError::Permanent(e) => write!(f, "permanent: {e}"),
TagDetectError::Transient(e) => write!(f, "transient: {e}"),
TagDetectError::Disabled => write!(f, "tag client disabled"),
}
}
}
impl std::error::Error for TagDetectError {}
#[derive(Clone)]
pub struct TagClient {
client: Client,
/// `None` → disabled. Trailing slash trimmed at construction so url
/// building doesn't double up.
base_url: Option<String>,
}
impl TagClient {
pub fn new(base_url: Option<String>) -> Self {
// 60 s timeout: GPU inference is fast (~50150 ms on RTX-class
// hardware) but Apollo's 1-worker threadpool means a backlog drain
// queues server-side. 60 s is enough headroom for a small queue
// depth without surfacing a false transient.
let timeout_secs = std::env::var("TAG_DETECT_TIMEOUT_SEC")
.ok()
.and_then(|s| s.parse::<u64>().ok())
.unwrap_or(60);
let client = Client::builder()
.timeout(Duration::from_secs(timeout_secs))
.build()
.expect("reqwest client build");
Self {
client,
base_url: base_url.map(|u| u.trim_end_matches('/').to_string()),
}
}
/// Construct a client from the standard env vars. APOLLO_TAG_API_BASE_URL
/// wins; falls back to APOLLO_API_BASE_URL. Both unset → disabled.
pub fn from_env() -> Self {
let base = std::env::var("APOLLO_TAG_API_BASE_URL")
.ok()
.filter(|s| !s.trim().is_empty())
.or_else(|| {
std::env::var("APOLLO_API_BASE_URL")
.ok()
.filter(|s| !s.trim().is_empty())
});
Self::new(base)
}
pub fn is_enabled(&self) -> bool {
self.base_url.is_some()
}
/// Run RAM++ auto-tagging over `bytes`. Empty `tags[]` is the no-tags
/// signal — caller writes a marker row in the persistence phase.
pub async fn auto_tag(
&self,
bytes: Vec<u8>,
meta: TagMeta,
) -> std::result::Result<TagResponse, TagDetectError> {
let Some(base) = self.base_url.as_deref() else {
return Err(TagDetectError::Disabled);
};
let url = format!("{}/api/internal/tags/auto", base);
self.post_multipart(&url, bytes, &meta).await
}
/// Engine reachability + device/model report.
#[allow(dead_code)] // consumed by future startup probe
pub async fn health(&self) -> Result<TagHealth> {
let base = self.base_url.as_deref().context("tag client disabled")?;
let url = format!("{}/api/internal/tags/health", base);
let resp = self.client.get(&url).send().await?.error_for_status()?;
let body: TagHealth = resp.json().await?;
Ok(body)
}
async fn post_multipart(
&self,
url: &str,
bytes: Vec<u8>,
meta: &TagMeta,
) -> std::result::Result<TagResponse, TagDetectError> {
let meta_json = serde_json::to_string(meta)
.map_err(|e| TagDetectError::Permanent(anyhow::anyhow!("meta serialize: {e}")))?;
let form = reqwest::multipart::Form::new()
.text("meta", meta_json)
.part(
"file",
reqwest::multipart::Part::bytes(bytes)
.file_name(meta.rel_path.clone())
.mime_str("application/octet-stream")
.unwrap_or_else(|_| reqwest::multipart::Part::bytes(Vec::new())),
);
let resp = match self.client.post(url).multipart(form).send().await {
Ok(r) => r,
Err(e) if e.is_timeout() || e.is_connect() => {
return Err(TagDetectError::Transient(anyhow::anyhow!(
"tag client network: {e}"
)));
}
Err(e) => {
return Err(TagDetectError::Transient(anyhow::anyhow!(
"tag client request: {e}"
)));
}
};
let status = resp.status();
if status.is_success() {
let body: TagResponse = resp.json().await.map_err(|e| {
TagDetectError::Transient(anyhow::anyhow!("tag response decode: {e}"))
})?;
return Ok(body);
}
let body_text = resp.text().await.unwrap_or_default();
Err(classify_error_response(status.as_u16(), &body_text))
}
}
/// Pulled out as a pure function so the marker-row contract is unit-testable
/// without spinning up an HTTP server. Behavior matches face_client::classify
/// so the future backlog drain can share the same retry policy.
fn classify_error_response(status: u16, body_text: &str) -> TagDetectError {
let detail_code = serde_json::from_str::<serde_json::Value>(body_text)
.ok()
.and_then(|v| {
v.get("detail")
.and_then(|d| d.as_str().map(str::to_string))
.or_else(|| {
v.get("detail")
.and_then(|d| d.get("code"))
.and_then(|c| c.as_str())
.map(str::to_string)
})
})
.unwrap_or_default();
if status == 422 {
return TagDetectError::Permanent(anyhow::anyhow!(
"tag detect 422 {}: {}",
detail_code,
body_text
));
}
if status == 503 {
return TagDetectError::Transient(anyhow::anyhow!(
"tag detect 503 {}: {}",
detail_code,
body_text
));
}
// 408 / 413 / 429 are operator-fixable infra issues — defer so the
// next pass retries naturally once the proxy is fixed (see
// face_client::classify_error_response for the cautionary tale).
if matches!(status, 408 | 413 | 429) {
return TagDetectError::Transient(anyhow::anyhow!(
"tag detect {} {}: {}",
status,
detail_code,
body_text
));
}
if (400..500).contains(&status) {
TagDetectError::Permanent(anyhow::anyhow!(
"tag detect {} {}: {}",
status,
detail_code,
body_text
))
} else {
TagDetectError::Transient(anyhow::anyhow!(
"tag detect {} {}: {}",
status,
detail_code,
body_text
))
}
}
#[cfg(test)]
mod tests {
use super::*;
fn is_permanent(e: &TagDetectError) -> bool {
matches!(e, TagDetectError::Permanent(_))
}
fn is_transient(e: &TagDetectError) -> bool {
matches!(e, TagDetectError::Transient(_))
}
#[test]
fn classify_422_decode_failed_is_permanent() {
let e = classify_error_response(422, r#"{"detail":"decode_failed: bad bytes"}"#);
assert!(is_permanent(&e));
assert!(format!("{e}").contains("decode_failed"));
}
#[test]
fn classify_503_cuda_oom_is_transient() {
let e = classify_error_response(
503,
r#"{"detail":{"code":"cuda_oom","error":"out of memory"}}"#,
);
assert!(is_transient(&e));
assert!(format!("{e}").contains("cuda_oom"));
}
#[test]
fn classify_5xx_is_transient_other_4xx_is_permanent() {
assert!(is_transient(&classify_error_response(500, "")));
assert!(is_permanent(&classify_error_response(400, "{}")));
assert!(is_permanent(&classify_error_response(404, "{}")));
}
#[test]
fn classify_infra_4xx_is_transient() {
assert!(is_transient(&classify_error_response(408, "")));
assert!(is_transient(&classify_error_response(413, "<html>")));
assert!(is_transient(&classify_error_response(429, "{}")));
}
}
+721
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@@ -0,0 +1,721 @@
//! Per-tick drains the watcher runs alongside ingest.
//!
//! These passes were previously inlined in `main.rs`; they exist because
//! a quick scan only walks recently-modified files, so any backlog of
//! rows missing a `content_hash` / `date_taken` / face detection
//! wouldn't otherwise drain except during the once-an-hour full scan.
//! Each function is bounded per call by a `*_PER_TICK` env-var cap.
use std::collections::HashMap;
use std::path::PathBuf;
use std::sync::{Arc, Mutex};
use log::{debug, info, warn};
use crate::content_hash;
use crate::database::ExifDao;
use crate::date_resolver;
use crate::face_watch;
use crate::faces;
use crate::file_types;
use crate::libraries;
use crate::tags;
/// Compute and persist content_hash for image_exif rows where it's NULL.
///
/// Bounded per call by `FACE_HASH_BACKFILL_MAX_PER_TICK` (default 2000)
/// so a watcher tick on a large legacy library doesn't block for hours
/// blake3-ing every photo at once. Subsequent scans pick up the rest.
/// For 50k+ libraries the dedicated `cargo run --bin backfill_hashes`
/// is still faster (it doesn't fight a watcher loop for the DAO mutex).
///
/// Drains unhashed image_exif rows by querying them directly, independent
/// of the filesystem walk. Quick scans only walk recently-modified files,
/// so a backlog of pre-existing unhashed rows never enters
/// `process_new_files`'s candidate set — left alone, it would only drain
/// on full scans (default once an hour). Calling this every tick keeps
/// the face-detection backlog moving regardless.
///
/// Returns the number of rows successfully backfilled this pass.
pub fn backfill_unhashed_backlog(
context: &opentelemetry::Context,
library: &libraries::Library,
exif_dao: &Arc<Mutex<Box<dyn ExifDao>>>,
) -> usize {
let cap: i64 = dotenv::var("FACE_HASH_BACKFILL_MAX_PER_TICK")
.ok()
.and_then(|s| s.parse().ok())
.filter(|n: &i64| *n > 0)
.unwrap_or(2000);
// Fetch up to cap+1 rows so we can tell "more remain" without a
// separate count query. Across libraries — there's no per-library
// filter on get_rows_missing_hash today — but we only ever update
// rows whose library_id matches the caller's library, so other
// libraries' rows just get skipped here and picked up on the next
// library's tick. Negligible cost given the cap.
let rows: Vec<(i32, String)> = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
dao.get_rows_missing_hash(context, cap + 1)
.unwrap_or_default()
};
if rows.is_empty() {
return 0;
}
let more_than_cap = rows.len() as i64 > cap;
let base_path = std::path::Path::new(&library.root_path);
let mut backfilled = 0usize;
let mut errors = 0usize;
let mut skipped_other_lib = 0usize;
for (lib_id, rel_path) in rows.iter().take(cap as usize) {
if *lib_id != library.id {
skipped_other_lib += 1;
continue;
}
let abs = base_path.join(rel_path);
if !abs.exists() {
// File walked away — the watcher's reconciliation pass will
// remove the orphan exif row eventually.
continue;
}
match content_hash::compute(&abs) {
Ok(id) => {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
if let Err(e) = dao.backfill_content_hash(
context,
library.id,
rel_path,
&id.content_hash,
id.size_bytes,
) {
warn!(
"face_watch: backfill_content_hash failed for {}: {:?}",
rel_path, e
);
errors += 1;
} else {
backfilled += 1;
}
}
Err(e) => {
debug!(
"face_watch: hash compute failed for {} ({:?})",
abs.display(),
e
);
errors += 1;
}
}
}
if backfilled > 0 || errors > 0 || more_than_cap {
info!(
"face_watch: backfill pass for library '{}': hashed {} ({} error(s), {} skipped to other libraries; {} cap, more_remain={})",
library.name, backfilled, errors, skipped_other_lib, cap, more_than_cap
);
}
backfilled
}
/// Drain image_exif rows whose `date_taken` was never resolved or was
/// resolved by the weakest fallback (`fs_time`). Runs the canonical-date
/// waterfall — exiftool batch (one subprocess for the whole tick's
/// rows) → filename regex → earliest_fs_time — and persists each
/// resolution with its source tag. Capped per tick by
/// `DATE_BACKFILL_MAX_PER_TICK` (default 500) so a 14k-row library
/// drains over a few quick-scan ticks without blocking the watcher.
///
/// kamadak-exif is intentionally skipped here: the row already has a
/// NULL date_taken because the ingest path's kamadak-exif call returned
/// nothing, and re-running it would just produce the same answer.
/// exiftool is the meaningful new attempt — it handles videos and
/// MakerNote-hosted dates kamadak can't reach.
pub fn backfill_missing_date_taken(
context: &opentelemetry::Context,
library: &libraries::Library,
exif_dao: &Arc<Mutex<Box<dyn ExifDao>>>,
) -> usize {
let cap: i64 = dotenv::var("DATE_BACKFILL_MAX_PER_TICK")
.ok()
.and_then(|s| s.parse().ok())
.filter(|n: &i64| *n > 0)
.unwrap_or(500);
let rows: Vec<(i32, String)> = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
dao.get_rows_needing_date_backfill(context, library.id, cap + 1)
.unwrap_or_default()
};
if rows.is_empty() {
return 0;
}
let more_than_cap = rows.len() as i64 > cap;
let base_path = std::path::Path::new(&library.root_path);
// Build absolute paths and drop rows whose files no longer exist —
// the missing-file scan in library_maintenance retires deleted rows
// separately. Without this filter, NULL-date rows for missing files
// would loop through the drain forever (no source can resolve them).
let mut existing: Vec<(String, PathBuf)> = Vec::with_capacity(rows.len());
for (_, rel_path) in rows.iter().take(cap as usize) {
let abs = base_path.join(rel_path);
if abs.exists() {
existing.push((rel_path.clone(), abs));
}
}
if existing.is_empty() {
return 0;
}
// One exiftool subprocess for the whole batch; the resolver falls
// through to filename / fs_time per file when exiftool can't supply
// a date (or isn't installed at all).
let paths: Vec<PathBuf> = existing.iter().map(|(_, p)| p.clone()).collect();
let resolved = date_resolver::resolve_dates_batch(&paths, &HashMap::new());
let mut backfilled = 0usize;
let mut unresolved = 0usize;
let mut by_source: HashMap<&'static str, usize> = HashMap::new();
{
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
for (rel_path, abs) in &existing {
let Some(rd) = resolved.get(abs).copied() else {
unresolved += 1;
continue;
};
match dao.backfill_date_taken(
context,
library.id,
rel_path,
rd.timestamp,
rd.source.as_str(),
) {
Ok(()) => {
backfilled += 1;
*by_source.entry(rd.source.as_str()).or_insert(0) += 1;
}
Err(e) => {
warn!(
"date_backfill: update failed for lib {} {}: {:?}",
library.id, rel_path, e
);
}
}
}
}
if backfilled > 0 || unresolved > 0 || more_than_cap {
info!(
"date_backfill: library '{}': resolved {} ({:?}), {} unresolved, cap={}, more_remain={}",
library.name, backfilled, by_source, unresolved, cap, more_than_cap
);
}
backfilled
}
/// Per-tick face-detection drain. Pulls a capped batch of hashed-but-
/// unscanned image_exif rows directly via the FaceDao anti-join and
/// hands them to the existing detection pass. Runs on every tick (not
/// just full scans) so the backlog moves at quick-scan cadence.
pub fn process_face_backlog(
context: &opentelemetry::Context,
library: &libraries::Library,
face_client: &crate::ai::face_client::FaceClient,
face_dao: &Arc<Mutex<Box<dyn faces::FaceDao>>>,
tag_dao: &Arc<Mutex<Box<dyn tags::TagDao>>>,
excluded_dirs: &[String],
) {
let cap: i64 = dotenv::var("FACE_BACKLOG_MAX_PER_TICK")
.ok()
.and_then(|s| s.parse().ok())
.filter(|n: &i64| *n > 0)
.unwrap_or(64);
let rows: Vec<(String, String)> = {
let mut dao = face_dao.lock().expect("face dao");
match dao.list_unscanned_candidates(context, library.id, cap) {
Ok(r) => r,
Err(e) => {
warn!(
"face_watch: list_unscanned_candidates failed for library '{}': {:?}",
library.name, e
);
return;
}
}
};
if rows.is_empty() {
return;
}
info!(
"face_watch: backlog drain — running detection on {} candidate(s) for library '{}' (cap={})",
rows.len(),
library.name,
cap
);
let candidates: Vec<face_watch::FaceCandidate> = rows
.into_iter()
.map(|(rel_path, content_hash)| face_watch::FaceCandidate {
rel_path,
content_hash,
})
.collect();
face_watch::run_face_detection_pass(
library,
excluded_dirs,
face_client,
Arc::clone(face_dao),
Arc::clone(tag_dao),
candidates,
);
}
/// Compute content_hash for any image rows the walker just touched
/// whose stored EXIF row is still hash-less. Called from
/// `process_new_files` so freshly-ingested files don't have to wait for
/// the next standalone `backfill_unhashed_backlog` tick before face
/// detection can key on their bytes.
///
/// Cap is on **successes only**. An earlier version counted errors too,
/// so a pocket of chronically-unhashable files at the front of the
/// table (vanished mid-scan, permission denied, etc.) burned the budget
/// every tick and the rest of the backlog never advanced.
pub fn backfill_missing_content_hashes(
context: &opentelemetry::Context,
files: &[(PathBuf, String)],
library: &libraries::Library,
exif_dao: &Arc<Mutex<Box<dyn ExifDao>>>,
) {
let image_paths: Vec<String> = files
.iter()
.filter(|(p, _)| !file_types::is_video_file(p))
.map(|(_, rel)| rel.clone())
.collect();
if image_paths.is_empty() {
return;
}
let exif_records = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
dao.get_exif_batch(context, Some(library.id), &image_paths)
.unwrap_or_default()
};
// Cheap lookup back from rel_path → absolute file_path so
// content_hash::compute can read the bytes.
let path_by_rel: HashMap<String, &PathBuf> =
files.iter().map(|(p, rel)| (rel.clone(), p)).collect();
let cap: usize = dotenv::var("FACE_HASH_BACKFILL_MAX_PER_TICK")
.ok()
.and_then(|s| s.parse().ok())
.filter(|n: &usize| *n > 0)
.unwrap_or(2000);
// Count the unhashed backlog up front so we can surface "still needs
// backfill: N" in the log — without it, a face-scan that's stuck at
// 44% looks stalled when really it's chipping through hashes.
let unhashed_total = exif_records
.iter()
.filter(|r| r.content_hash.is_none())
.count();
let mut backfilled = 0usize;
let mut errors = 0usize;
for record in &exif_records {
if backfilled >= cap {
break;
}
if record.content_hash.is_some() {
continue;
}
let Some(file_path) = path_by_rel.get(&record.file_path) else {
// Walked file went missing between the directory scan and now;
// next tick will retry naturally.
continue;
};
match content_hash::compute(file_path) {
Ok(id) => {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
if let Err(e) = dao.backfill_content_hash(
context,
library.id,
&record.file_path,
&id.content_hash,
id.size_bytes,
) {
warn!(
"face_watch: backfill_content_hash failed for {}: {:?}",
record.file_path, e
);
errors += 1;
} else {
backfilled += 1;
}
}
Err(e) => {
debug!(
"face_watch: hash compute failed for {} ({:?})",
file_path.display(),
e
);
errors += 1;
}
}
}
// Always log when there's an unhashed backlog so an operator
// looking at "scan stuck at 44%" can see backfill is running and
// how much remains. Quiet only when there's nothing to do.
if unhashed_total > 0 || backfilled > 0 || errors > 0 {
let remaining = unhashed_total.saturating_sub(backfilled);
info!(
"face_watch: backfilled {}/{} content_hash for library '{}' ({} error(s); {} still need backfill; cap={})",
backfilled, unhashed_total, library.name, errors, remaining, cap
);
}
}
/// Build the face-detection candidate list for a scan tick.
///
/// Returns `(rel_path, content_hash)` for every image file that has a
/// content_hash recorded in image_exif but no row in face_detections
/// yet. Re-querying image_exif here picks up rows the EXIF write loop
/// just inserted alongside any pre-existing rows the watcher walked
/// over — covers both new uploads and the initial backlog scan.
pub fn build_face_candidates(
context: &opentelemetry::Context,
library: &libraries::Library,
files: &[(PathBuf, String)],
exif_dao: &Arc<Mutex<Box<dyn ExifDao>>>,
face_dao: &Arc<Mutex<Box<dyn faces::FaceDao>>>,
) -> Vec<face_watch::FaceCandidate> {
// Restrict to image files; videos aren't face-scanned in v1 (kamadak
// doesn't even register them in image_exif).
let image_paths: Vec<String> = files
.iter()
.filter(|(p, _)| !file_types::is_video_file(p))
.map(|(_, rel)| rel.clone())
.collect();
if image_paths.is_empty() {
return Vec::new();
}
let exif_records = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
dao.get_exif_batch(context, Some(library.id), &image_paths)
.unwrap_or_default()
};
// rel_path → content_hash (only rows with a hash; without one we have
// nothing to key face data against).
let mut hash_by_path: HashMap<String, String> = HashMap::with_capacity(exif_records.len());
for record in exif_records {
if let Some(h) = record.content_hash {
hash_by_path.insert(record.file_path, h);
}
}
let mut candidates = Vec::new();
let mut dao = face_dao.lock().expect("face dao");
for rel_path in image_paths {
let Some(hash) = hash_by_path.get(&rel_path) else {
continue;
};
match dao.already_scanned(context, hash) {
Ok(true) => continue,
Ok(false) => candidates.push(face_watch::FaceCandidate {
rel_path,
content_hash: hash.clone(),
}),
Err(e) => {
warn!("face_watch: already_scanned errored for {}: {:?}", hash, e);
}
}
}
candidates
}
#[cfg(test)]
mod tests {
use super::*;
use std::fs;
use std::sync::{Arc, Mutex};
use diesel::prelude::*;
use tempfile::TempDir;
use crate::database::models::{InsertImageExif, InsertLibrary};
use crate::database::test::in_memory_db_connection;
use crate::database::{ExifDao, SqliteExifDao, schema};
use crate::faces::{FaceDao, SqliteFaceDao};
use crate::libraries::Library;
fn ctx() -> opentelemetry::Context {
opentelemetry::Context::new()
}
/// Build a tempdir-backed library + DAOs sharing a single in-memory
/// SQLite connection (so cross-table joins like
/// `list_unscanned_candidates` see consistent state).
fn setup() -> (
TempDir,
Library,
Arc<Mutex<diesel::SqliteConnection>>,
Arc<Mutex<Box<dyn ExifDao>>>,
Arc<Mutex<Box<dyn FaceDao>>>,
) {
let tmp = TempDir::new().expect("tempdir");
let mut conn = in_memory_db_connection();
// Migration seeds library id=1 with a placeholder root; rewrite it
// to point at the tempdir so `<root>/<rel_path>` resolves to real
// files this test creates.
diesel::update(schema::libraries::table.filter(schema::libraries::id.eq(1)))
.set(schema::libraries::root_path.eq(tmp.path().to_string_lossy().to_string()))
.execute(&mut conn)
.expect("rewrite library 1 root");
// Add a second library so cross-library skip cases have somewhere
// to put their rows.
diesel::insert_into(schema::libraries::table)
.values(InsertLibrary {
name: "other",
root_path: "/tmp/other-test-lib",
created_at: 0,
enabled: true,
excluded_dirs: None,
})
.execute(&mut conn)
.expect("seed second library");
let library = Library {
id: 1,
name: "main".to_string(),
root_path: tmp.path().to_string_lossy().to_string(),
enabled: true,
excluded_dirs: Vec::new(),
};
let shared = Arc::new(Mutex::new(conn));
let exif_dao: Arc<Mutex<Box<dyn ExifDao>>> = Arc::new(Mutex::new(Box::new(
SqliteExifDao::from_shared(Arc::clone(&shared)),
)));
let face_dao: Arc<Mutex<Box<dyn FaceDao>>> = Arc::new(Mutex::new(Box::new(
SqliteFaceDao::from_connection(Arc::clone(&shared)),
)));
(tmp, library, shared, exif_dao, face_dao)
}
fn insert_exif(
exif_dao: &Arc<Mutex<Box<dyn ExifDao>>>,
lib_id: i32,
rel: &str,
content_hash: Option<&str>,
) {
let mut dao = exif_dao.lock().unwrap();
dao.store_exif(
&ctx(),
InsertImageExif {
library_id: lib_id,
file_path: rel.to_string(),
camera_make: None,
camera_model: None,
lens_model: None,
width: None,
height: None,
orientation: None,
gps_latitude: None,
gps_longitude: None,
gps_altitude: None,
focal_length: None,
aperture: None,
shutter_speed: None,
iso: None,
date_taken: None,
created_time: 0,
last_modified: 0,
content_hash: content_hash.map(|s| s.to_string()),
size_bytes: None,
phash_64: None,
dhash_64: None,
date_taken_source: None,
},
)
.expect("insert");
}
fn write_image(root: &std::path::Path, rel: &str, bytes: &[u8]) {
let abs = root.join(rel);
if let Some(parent) = abs.parent() {
fs::create_dir_all(parent).expect("mkdir");
}
fs::write(abs, bytes).expect("write file");
}
#[test]
fn backfill_unhashed_backlog_hashes_missing_rows_in_this_library() {
let (tmp, library, _conn, exif_dao, _face_dao) = setup();
write_image(tmp.path(), "a.jpg", b"alpha-bytes");
write_image(tmp.path(), "b.jpg", b"bravo-bytes");
insert_exif(&exif_dao, 1, "a.jpg", None);
insert_exif(&exif_dao, 1, "b.jpg", None);
let backfilled = backfill_unhashed_backlog(&ctx(), &library, &exif_dao);
assert_eq!(backfilled, 2);
let mut dao = exif_dao.lock().unwrap();
let rows = dao
.get_exif_batch(&ctx(), Some(1), &["a.jpg".to_string(), "b.jpg".to_string()])
.unwrap();
assert_eq!(rows.len(), 2);
for r in rows {
assert!(
r.content_hash.is_some(),
"row {} should have a hash",
r.file_path
);
}
}
#[test]
fn backfill_unhashed_backlog_skips_other_libraries_and_missing_files() {
let (tmp, library, _conn, exif_dao, _face_dao) = setup();
write_image(tmp.path(), "exists.jpg", b"hello");
// Row for this library whose file is missing on disk:
insert_exif(&exif_dao, 1, "ghost.jpg", None);
insert_exif(&exif_dao, 1, "exists.jpg", None);
// Row in the other library — must be skipped (different lib_id).
insert_exif(&exif_dao, 2, "other.jpg", None);
let backfilled = backfill_unhashed_backlog(&ctx(), &library, &exif_dao);
assert_eq!(backfilled, 1, "only the existing in-library file hashes");
let mut dao = exif_dao.lock().unwrap();
let other = dao
.get_exif_batch(&ctx(), Some(2), &["other.jpg".to_string()])
.unwrap();
assert_eq!(other.len(), 1);
assert!(
other[0].content_hash.is_none(),
"other-library row must remain unhashed"
);
let ghost = dao
.get_exif_batch(&ctx(), Some(1), &["ghost.jpg".to_string()])
.unwrap();
assert_eq!(ghost.len(), 1);
assert!(
ghost[0].content_hash.is_none(),
"missing-on-disk row stays unhashed (reconciliation removes it later)"
);
}
#[test]
fn backfill_unhashed_backlog_respects_per_tick_cap() {
// Env-var-driven cap; the function reads it on every call, so we
// can set it just for this test and unset before returning.
// Serial guard: tests in the same binary may share env, but each
// backfill call re-reads — and we only care that the cap shape
// (success count <= cap, more_remain logged) holds.
unsafe {
std::env::set_var("FACE_HASH_BACKFILL_MAX_PER_TICK", "2");
}
let (tmp, library, _conn, exif_dao, _face_dao) = setup();
for i in 0..5 {
let rel = format!("img_{}.jpg", i);
write_image(tmp.path(), &rel, format!("bytes-{}", i).as_bytes());
insert_exif(&exif_dao, 1, &rel, None);
}
let backfilled = backfill_unhashed_backlog(&ctx(), &library, &exif_dao);
assert_eq!(backfilled, 2, "cap=2 must bound the per-tick successes");
unsafe {
std::env::remove_var("FACE_HASH_BACKFILL_MAX_PER_TICK");
}
}
#[test]
fn backfill_missing_content_hashes_skips_videos_and_hashed_rows() {
let (tmp, library, _conn, exif_dao, _face_dao) = setup();
// Two image rows (one already hashed, one not), one video.
write_image(tmp.path(), "fresh.jpg", b"fresh-pixels");
write_image(tmp.path(), "already.jpg", b"already-pixels");
write_image(tmp.path(), "clip.mp4", b"video-bytes");
insert_exif(&exif_dao, 1, "fresh.jpg", None);
insert_exif(&exif_dao, 1, "already.jpg", Some("pre-existing-hash"));
insert_exif(&exif_dao, 1, "clip.mp4", None);
let files: Vec<(PathBuf, String)> = vec![
(tmp.path().join("fresh.jpg"), "fresh.jpg".to_string()),
(tmp.path().join("already.jpg"), "already.jpg".to_string()),
(tmp.path().join("clip.mp4"), "clip.mp4".to_string()),
];
backfill_missing_content_hashes(&ctx(), &files, &library, &exif_dao);
let mut dao = exif_dao.lock().unwrap();
let rows = dao
.get_exif_batch(
&ctx(),
Some(1),
&[
"fresh.jpg".to_string(),
"already.jpg".to_string(),
"clip.mp4".to_string(),
],
)
.unwrap();
let by_path: HashMap<String, Option<String>> = rows
.into_iter()
.map(|r| (r.file_path, r.content_hash))
.collect();
assert!(
by_path["fresh.jpg"].is_some(),
"fresh image must get a hash"
);
assert_eq!(
by_path["already.jpg"].as_deref(),
Some("pre-existing-hash"),
"already-hashed image left untouched"
);
assert!(
by_path["clip.mp4"].is_none(),
"video skipped (not face-scanned, no hash needed via this path)"
);
}
#[test]
fn build_face_candidates_filters_videos_unhashed_and_already_scanned() {
let (tmp, library, _conn, exif_dao, face_dao) = setup();
// Seed image_exif with: hashed unscanned, hashed scanned, unhashed,
// and a video. Files don't need to exist on disk — the function
// doesn't read them, only the DB rows.
insert_exif(&exif_dao, 1, "fresh.jpg", Some("hash-fresh"));
insert_exif(&exif_dao, 1, "scanned.jpg", Some("hash-scanned"));
insert_exif(&exif_dao, 1, "unhashed.jpg", None);
insert_exif(&exif_dao, 1, "clip.mp4", Some("hash-video"));
// Mark `scanned.jpg`'s hash as already detected.
{
let mut dao = face_dao.lock().unwrap();
dao.mark_status(&ctx(), 1, "hash-scanned", "scanned.jpg", "no_faces", "test")
.expect("mark scanned");
}
let files: Vec<(PathBuf, String)> = vec![
(tmp.path().join("fresh.jpg"), "fresh.jpg".to_string()),
(tmp.path().join("scanned.jpg"), "scanned.jpg".to_string()),
(tmp.path().join("unhashed.jpg"), "unhashed.jpg".to_string()),
(tmp.path().join("clip.mp4"), "clip.mp4".to_string()),
];
let candidates = build_face_candidates(&ctx(), &library, &files, &exif_dao, &face_dao);
assert_eq!(
candidates.len(),
1,
"exactly fresh.jpg should be a candidate"
);
assert_eq!(candidates[0].rel_path, "fresh.jpg");
assert_eq!(candidates[0].content_hash, "hash-fresh");
}
}
+243
View File
@@ -0,0 +1,243 @@
//! Backfill `image_exif.phash_64` + `dhash_64` for image rows that
//! were ingested before perceptual hashing was wired into the watcher.
//!
//! The watcher computes perceptual hashes for new images as they're
//! ingested, so this binary is a one-shot for the historical backlog.
//! Idempotent — only rows with a non-null content_hash and a null
//! phash are processed, so re-runs are safe and pick up where they
//! left off (e.g. after a crash or interrupt).
//!
//! Image-only by design: `get_rows_missing_perceptual_hash` filters by
//! file extension at the DB layer so videos and other non-decodable
//! media are skipped without round-tripping `image_hasher`. Files that
//! can't be opened (missing on disk, permission errors) are quietly
//! left as null and counted as "missing"; on next run, if the file is
//! restored, the row will surface again.
use std::path::Path;
use std::sync::{Arc, Mutex};
use std::time::Instant;
use clap::Parser;
use log::{error, warn};
use rayon::prelude::*;
use image_api::bin_progress;
use image_api::database::{ExifDao, SqliteExifDao, connect};
use image_api::libraries::{self, Library};
use image_api::perceptual_hash;
#[derive(Parser, Debug)]
#[command(name = "backfill_perceptual_hash")]
#[command(about = "Compute pHash + dHash for image_exif rows missing one")]
struct Args {
/// Max rows to hash per batch. The process loops until no rows remain.
#[arg(long, default_value_t = 256)]
batch_size: i64,
/// Rayon parallelism override. 0 uses the default thread pool size.
#[arg(long, default_value_t = 0)]
parallelism: usize,
/// Dry-run: log what would be hashed without writing to the DB.
#[arg(long)]
dry_run: bool,
}
fn main() -> anyhow::Result<()> {
env_logger::init();
dotenv::dotenv().ok();
let args = Args::parse();
if args.parallelism > 0 {
rayon::ThreadPoolBuilder::new()
.num_threads(args.parallelism)
.build_global()
.expect("Unable to configure rayon thread pool");
}
let base_path = dotenv::var("BASE_PATH").ok();
let mut seed_conn = connect();
if let Some(base) = base_path.as_deref() {
libraries::seed_or_patch_from_env(&mut seed_conn, base);
}
let libs = libraries::load_all(&mut seed_conn);
drop(seed_conn);
if libs.is_empty() {
anyhow::bail!("No libraries configured; cannot backfill perceptual hashes");
}
let libs_by_id: std::collections::HashMap<i32, Library> =
libs.into_iter().map(|lib| (lib.id, lib)).collect();
println!(
"Configured libraries: {}",
libs_by_id
.values()
.map(|l| format!("{} -> {}", l.name, l.root_path))
.collect::<Vec<_>>()
.join(", ")
);
let dao: Arc<Mutex<Box<dyn ExifDao>>> = Arc::new(Mutex::new(Box::new(SqliteExifDao::new())));
let ctx = opentelemetry::Context::new();
let mut total_hashed = 0u64;
let mut total_missing = 0u64;
let mut total_decode_failures = 0u64;
let mut total_errors = 0u64;
let start = Instant::now();
let pb = bin_progress::spinner("perceptual-hashing");
loop {
let rows = {
let mut guard = dao.lock().expect("Unable to lock ExifDao");
guard
.get_rows_missing_perceptual_hash(&ctx, args.batch_size)
.map_err(|e| anyhow::anyhow!("DB error: {:?}", e))?
};
if rows.is_empty() {
break;
}
let batch_size = rows.len();
pb.set_message(format!(
"batch of {} (hashed={} decode_fail={} missing={} errors={})",
batch_size, total_hashed, total_decode_failures, total_missing, total_errors
));
// Compute perceptual hashes in parallel — CPU-bound, decoder
// releases the GIL-equivalent. rayon's default thread pool
// matches the host's logical-core count which is the right
// ceiling for image_hasher's DCT pass.
let results: Vec<(i32, String, FilePerceptualResult)> = rows
.into_par_iter()
.map(|(library_id, rel_path)| {
let abs = libs_by_id
.get(&library_id)
.map(|lib| Path::new(&lib.root_path).join(&rel_path));
match abs {
Some(abs_path) if abs_path.exists() => {
match perceptual_hash::compute(&abs_path) {
Some(id) => (library_id, rel_path, FilePerceptualResult::Ok(id)),
None => (library_id, rel_path, FilePerceptualResult::DecodeFailed),
}
}
Some(_) => (library_id, rel_path, FilePerceptualResult::MissingOnDisk),
None => {
warn!("Row refers to unknown library_id {}", library_id);
(library_id, rel_path, FilePerceptualResult::MissingOnDisk)
}
}
})
.collect();
// Persist sequentially — SQLite writes serialize anyway.
if !args.dry_run {
let mut guard = dao.lock().expect("Unable to lock ExifDao");
for (library_id, rel_path, result) in &results {
match result {
FilePerceptualResult::Ok(id) => {
match guard.backfill_perceptual_hash(
&ctx,
*library_id,
rel_path,
Some(id.phash_64),
Some(id.dhash_64),
) {
Ok(_) => {
total_hashed += 1;
pb.inc(1);
}
Err(e) => {
pb.println(format!("persist error for {}: {:?}", rel_path, e));
total_errors += 1;
}
}
}
FilePerceptualResult::DecodeFailed => {
// Persist phash_64=0/dhash_64=0 as a "tried,
// unhashable" sentinel so this row leaves the
// `phash_64 IS NULL` candidate set and the
// backfill doesn't infinite-loop on a queue of
// unbreakable formats (HEIC, RAW, CMYK JPEGs,
// truncated bytes). The all-zero hash is
// explicitly excluded from clustering by
// is_informative_hash in duplicates.rs, so it
// won't pollute group output — it just becomes
// invisible to the duplicate finder.
log::debug!(
"perceptual decode failed for {} (lib {}); marking unhashable",
rel_path,
library_id
);
match guard.backfill_perceptual_hash(
&ctx,
*library_id,
rel_path,
Some(0),
Some(0),
) {
Ok(_) => {
total_decode_failures += 1;
}
Err(e) => {
pb.println(format!(
"persist error (decode-fail sentinel) for {}: {:?}",
rel_path, e
));
total_errors += 1;
}
}
}
FilePerceptualResult::MissingOnDisk => {
total_missing += 1;
}
}
}
} else {
for (_, rel_path, result) in &results {
match result {
FilePerceptualResult::Ok(id) => {
pb.println(format!(
"[dry-run] {} -> phash={:016x} dhash={:016x}",
rel_path, id.phash_64, id.dhash_64
));
total_hashed += 1;
pb.inc(1);
}
FilePerceptualResult::DecodeFailed => {
total_decode_failures += 1;
}
FilePerceptualResult::MissingOnDisk => {
total_missing += 1;
}
}
}
pb.println(format!(
"[dry-run] processed one batch of {}. Stopping — a real run would continue \
until no NULL phash_64 image rows remain.",
results.len()
));
break;
}
}
pb.finish_and_clear();
println!(
"Done. hashed={}, decode_failed={}, skipped (missing on disk)={}, errors={}, elapsed={:.1}s",
total_hashed,
total_decode_failures,
total_missing,
total_errors,
start.elapsed().as_secs_f64()
);
if total_errors > 0 {
error!("Backfill completed with {} persist errors", total_errors);
}
Ok(())
}
enum FilePerceptualResult {
Ok(perceptual_hash::PerceptualIdentity),
DecodeFailed,
MissingOnDisk,
}
+10
View File
@@ -14,6 +14,7 @@ use image_api::database::{
SqliteInsightDao, SqliteKnowledgeDao, SqliteLocationHistoryDao, SqliteSearchHistoryDao,
connect,
};
use image_api::faces::{FaceDao, SqliteFaceDao};
use image_api::file_types::{IMAGE_EXTENSIONS, VIDEO_EXTENSIONS};
use image_api::libraries::{self, Library};
use image_api::tags::{SqliteTagDao, TagDao};
@@ -182,6 +183,11 @@ async fn main() -> anyhow::Result<()> {
Arc::new(Mutex::new(Box::new(SqliteTagDao::default())));
let knowledge_dao: Arc<Mutex<Box<dyn KnowledgeDao>>> =
Arc::new(Mutex::new(Box::new(SqliteKnowledgeDao::new())));
let face_dao: Arc<Mutex<Box<dyn FaceDao>>> =
Arc::new(Mutex::new(Box::new(SqliteFaceDao::new())));
let persona_dao: Arc<Mutex<Box<dyn image_api::database::PersonaDao>>> = Arc::new(Mutex::new(
Box::new(image_api::database::SqlitePersonaDao::new()),
));
// Pass the full library set so `resolve_full_path` probes every root,
// even when --library restricts the walk. A rel_path shared across
@@ -198,7 +204,9 @@ async fn main() -> anyhow::Result<()> {
location_dao,
search_dao,
tag_dao,
face_dao,
knowledge_dao,
persona_dao,
all_libs.clone(),
);
@@ -331,6 +339,8 @@ async fn main() -> anyhow::Result<()> {
None,
Vec::new(),
Vec::new(),
1, // operator user_id — populate_knowledge is single-user offline tool
"default".to_string(),
)
.await
{
+250
View File
@@ -0,0 +1,250 @@
//! Probe binary for RAM++ auto-tagging.
//!
//! No DB writes. Walks a library's `image_exif` rows, sends a sample
//! through Apollo's `/api/internal/tags/auto`, and prints `(path, tags)`
//! to stdout so the operator can eyeball whether the model's vocabulary
//! and threshold defaults are appropriate for this library before
//! committing to the persistence phase (new table, per-tick drain, UI).
//!
//! Usage:
//! cargo run --release --bin probe_auto_tags -- \
//! --library 1 --limit 50 --threshold 0.7
//!
//! Env: standard ImageApi `.env`. Requires either
//! `APOLLO_TAG_API_BASE_URL` or `APOLLO_API_BASE_URL` to be set
//! (otherwise the client is disabled and the probe bails).
use std::path::{Path, PathBuf};
use std::sync::{Arc, Mutex};
use std::time::Instant;
use clap::Parser;
use log::{info, warn};
use image_api::ai::tag_client::{TagClient, TagDetectError, TagMeta};
use image_api::database::{ExifDao, SqliteExifDao, connect};
use image_api::exif;
use image_api::file_types;
use image_api::libraries::{self, Library};
#[derive(Parser, Debug)]
#[command(name = "probe_auto_tags")]
#[command(about = "Print RAM++ auto-tags for a sample of image_exif rows")]
struct Args {
/// Library id to sample from.
#[arg(long)]
library: i32,
/// Max files to probe. The binary scans more rows internally because
/// non-image rows (videos, junk) are skipped client-side.
#[arg(long, default_value_t = 25)]
limit: usize,
/// Per-call threshold sent to Apollo. Overrides the engine default.
/// Lower = more tags per photo, more noise. 0.50.75 is the useful
/// sweep range for ram_plus_swin_large_14m.
#[arg(long, default_value_t = 0.65)]
threshold: f32,
/// Offset into the library's rel_path listing (sorted by id ASC).
/// Bump on re-runs to sample a different slice.
#[arg(long, default_value_t = 0)]
offset: i64,
/// How many DB rows to scan before giving up on hitting the limit.
/// Useful when a library is mostly videos.
#[arg(long, default_value_t = 2000)]
max_scan: i64,
}
/// Mirror of `face_watch::read_image_bytes_for_detect` — it's pub(crate)
/// so we can't import it across the bin boundary. The probe is throwaway
/// scope; inlining is cleaner than changing the visibility.
fn read_image_bytes(path: &Path) -> std::io::Result<Vec<u8>> {
if file_types::needs_ffmpeg_thumbnail(path)
&& let Some(preview) = exif::extract_embedded_jpeg_preview(path)
{
return Ok(preview);
}
std::fs::read(path)
}
#[tokio::main]
async fn main() -> anyhow::Result<()> {
env_logger::init();
dotenv::dotenv().ok();
let args = Args::parse();
let client = TagClient::from_env();
if !client.is_enabled() {
anyhow::bail!(
"TagClient disabled: set APOLLO_TAG_API_BASE_URL or APOLLO_API_BASE_URL in .env"
);
}
// Quick health probe so we fail fast on a misconfig before grinding
// through a thousand rows.
match client.health().await {
Ok(h) => info!(
"tag engine: loaded={} device={} model={} threshold_default={}",
h.loaded, h.device, h.model_version, h.threshold
),
Err(e) => warn!("health probe failed (continuing): {e}"),
}
let mut seed_conn = connect();
if let Some(base) = dotenv::var("BASE_PATH").ok().as_deref() {
libraries::seed_or_patch_from_env(&mut seed_conn, base);
}
let libs = libraries::load_all(&mut seed_conn);
drop(seed_conn);
let lib: Library = libs
.into_iter()
.find(|l| l.id == args.library)
.ok_or_else(|| anyhow::anyhow!("library id {} not found", args.library))?;
info!("probing library #{} ({}) at {}", lib.id, lib.name, lib.root_path);
let dao: Arc<Mutex<Box<dyn ExifDao>>> = Arc::new(Mutex::new(Box::new(SqliteExifDao::new())));
let ctx = opentelemetry::Context::new();
// Paginate through (id, rel_path) for this library, filter to images
// on disk, take `limit`. Page size is tuned so we don't slam the DB
// when a library is video-heavy.
const PAGE: i64 = 500;
let mut offset = args.offset;
let mut scanned: i64 = 0;
let mut probed = 0usize;
let mut ok_count = 0usize;
let mut empty_count = 0usize;
let mut perm_fail = 0usize;
let mut transient_fail = 0usize;
let started = Instant::now();
let root = PathBuf::from(&lib.root_path);
'outer: loop {
if scanned >= args.max_scan {
warn!(
"scan cap ({}) reached before hitting limit ({}); bump --max-scan to scan deeper",
args.max_scan, args.limit
);
break;
}
let rows = {
let mut guard = dao.lock().expect("dao lock");
guard
.list_rel_paths_for_library_page(&ctx, lib.id, PAGE, offset)
.map_err(|e| anyhow::anyhow!("list rel_paths: {:?}", e))?
};
if rows.is_empty() {
info!("no more rows after offset {}", offset);
break;
}
offset += rows.len() as i64;
scanned += rows.len() as i64;
for (_id, rel_path) in rows {
if probed >= args.limit {
break 'outer;
}
let abs = root.join(&rel_path);
// Skip non-images and videos at the path level — same logic
// the face backlog drain uses, just inlined.
if !file_types::is_image_file(&abs) {
continue;
}
if !abs.exists() {
continue;
}
let bytes = match read_image_bytes(&abs) {
Ok(b) => b,
Err(e) => {
warn!("read {rel_path}: {e}");
continue;
}
};
// The probe doesn't need a real content_hash — Apollo only
// logs it. Pass an empty marker so we don't trip on no-hash
// image_exif rows.
let meta = TagMeta {
content_hash: String::new(),
library_id: lib.id,
rel_path: rel_path.clone(),
threshold: Some(args.threshold),
};
let call_start = Instant::now();
match client.auto_tag(bytes, meta).await {
Ok(resp) => {
probed += 1;
if resp.tags.is_empty() {
empty_count += 1;
println!(
"[{:>3}] (no tags) {}ms {}",
probed, resp.duration_ms, rel_path
);
} else {
ok_count += 1;
let preview = resp
.tags
.iter()
.map(|t| format!("{}({:.2})", t.name, t.confidence))
.collect::<Vec<_>>()
.join(", ");
println!(
"[{:>3}] {} tags {}ms {}\n {}",
probed,
resp.tags.len(),
resp.duration_ms,
rel_path,
preview
);
}
}
Err(TagDetectError::Permanent(e)) => {
probed += 1;
perm_fail += 1;
println!(
"[{:>3}] PERMANENT FAIL ({:>4}ms) {}\n {}",
probed,
call_start.elapsed().as_millis(),
rel_path,
e
);
}
Err(TagDetectError::Transient(e)) => {
probed += 1;
transient_fail += 1;
println!(
"[{:>3}] TRANSIENT FAIL ({:>4}ms) {}\n {}",
probed,
call_start.elapsed().as_millis(),
rel_path,
e
);
}
Err(TagDetectError::Disabled) => {
anyhow::bail!("tag client became disabled mid-run; impossible");
}
}
}
}
let elapsed = started.elapsed();
println!();
println!("── summary ───────────────────────────────────────");
println!("scanned rows : {scanned}");
println!("probed files : {probed}");
println!(" with tags : {ok_count}");
println!(" empty (no tags) : {empty_count}");
println!(" permanent failures : {perm_fail}");
println!(" transient failures : {transient_fail}");
println!("elapsed : {:.1}s", elapsed.as_secs_f32());
if probed > 0 {
println!(
"throughput : {:.2} photos/s",
probed as f32 / elapsed.as_secs_f32().max(0.001)
);
}
Ok(())
}
+35
View File
@@ -53,12 +53,34 @@ pub fn thumbnail_path(thumbs_dir: &Path, hash: &str) -> PathBuf {
/// Hash-keyed HLS output directory: `<video_dir>/<hash[..2]>/<hash>/`.
/// The playlist lives at `playlist.m3u8` inside this directory and its
/// segments are co-located so HLS relative references Just Work.
///
/// Allow-dead until Branch B/C rewires the HLS pipeline to use it; the
/// helper lives here today so Branch A's path layout decisions stay
/// adjacent to thumbnail/legacy ones.
#[allow(dead_code)]
pub fn hls_dir(video_dir: &Path, hash: &str) -> PathBuf {
let shard = shard_prefix(hash);
video_dir.join(shard).join(hash)
}
/// Library-scoped legacy mirrored path:
/// `<derivative_dir>/<library_id>/<rel_path>`. Used as the fallback when
/// `content_hash` isn't available — the library prefix prevents the
/// "lib1 wrote `vacation/IMG.jpg` first, lib2 sees thumb_path.exists()
/// and serves the wrong image" failure mode.
///
/// Existing single-library deployments may already have thumbnails at the
/// bare-legacy `<derivative_dir>/<rel_path>` shape; serving code is
/// expected to check both this scoped path and the bare-legacy path so
/// nothing 404s during the transition.
pub fn library_scoped_legacy_path(
derivative_dir: &Path,
library_id: i32,
rel_path: impl AsRef<Path>,
) -> PathBuf {
derivative_dir.join(library_id.to_string()).join(rel_path)
}
fn shard_prefix(hash: &str) -> &str {
let end = hash
.char_indices()
@@ -105,4 +127,17 @@ mod tests {
let d = hls_dir(video, "1234deadbeef");
assert_eq!(d, PathBuf::from("/tmp/video/12/1234deadbeef"));
}
#[test]
fn library_scoped_legacy_path_prefixes_with_library_id() {
let thumbs = Path::new("/tmp/thumbs");
let p = library_scoped_legacy_path(thumbs, 7, "vacation/IMG.jpg");
assert_eq!(p, PathBuf::from("/tmp/thumbs/7/vacation/IMG.jpg"));
// Same rel_path, different library — different output. This is
// the whole point: lib 1 and lib 2 don't clobber each other.
let p1 = library_scoped_legacy_path(thumbs, 1, "vacation/IMG.jpg");
let p2 = library_scoped_legacy_path(thumbs, 2, "vacation/IMG.jpg");
assert_ne!(p1, p2);
}
}
+22
View File
@@ -165,6 +165,15 @@ pub struct FilesRequest {
/// Optional library filter. Accepts a library id (e.g. "1") or name
/// (e.g. "main"). When omitted, results span all libraries.
pub library: Option<String>,
/// When true, include rows soft-marked as duplicates of another file
/// (i.e. `image_exif.duplicate_of_hash IS NOT NULL`). Default false —
/// the standard /photos listing hides demoted siblings so the grid
/// silently shrinks after a resolve. The Apollo duplicates modal
/// passes `true` so it can show both survivors and demoted members
/// inside a group.
#[serde(default)]
pub include_duplicates: Option<bool>,
}
#[derive(Copy, Clone, Deserialize, PartialEq, Debug)]
@@ -277,6 +286,16 @@ pub struct ExifMetadata {
pub gps: Option<GpsCoordinates>,
pub capture_settings: Option<CaptureSettings>,
pub date_taken: Option<i64>,
/// Which step of the canonical-date waterfall populated `date_taken`:
/// `"exif" | "exiftool" | "filename" | "fs_time" | "manual"`. NULL when
/// `date_taken` itself is NULL.
pub date_taken_source: Option<String>,
/// When `date_taken_source = "manual"`, the prior `date_taken` snapshot.
/// Used by the UI's revert affordance and to label "manually overridden;
/// originally X" in the details modal.
pub original_date_taken: Option<i64>,
/// When `date_taken_source = "manual"`, the prior source.
pub original_date_taken_source: Option<String>,
}
#[derive(Debug, Serialize)]
@@ -361,6 +380,9 @@ impl From<ImageExif> for ExifMetadata {
None
},
date_taken: exif.date_taken,
date_taken_source: exif.date_taken_source,
original_date_taken: exif.original_date_taken,
original_date_taken_source: exif.original_date_taken_source,
}
}
}
+29
View File
@@ -75,6 +75,11 @@ pub trait DailySummaryDao: Sync + Send {
context: &opentelemetry::Context,
contact: &str,
) -> Result<i64, DbError>;
/// Cheap presence check — returns true iff at least one daily summary row
/// exists. Used by gating logic that only needs "is the table empty?",
/// avoiding a `COUNT(*)` full scan on large corpora.
fn has_any_summaries(&mut self, context: &opentelemetry::Context) -> Result<bool, DbError>;
}
pub struct SqliteDailySummaryDao {
@@ -454,6 +459,30 @@ impl DailySummaryDao for SqliteDailySummaryDao {
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn has_any_summaries(&mut self, context: &opentelemetry::Context) -> Result<bool, DbError> {
trace_db_call(context, "query", "has_any_summaries", |_span| {
let mut conn = self
.connection
.lock()
.expect("Unable to get DailySummaryDao");
#[derive(QueryableByName)]
struct ProbeResult {
#[diesel(sql_type = diesel::sql_types::Integer)]
#[allow(dead_code)]
one: i32,
}
let rows: Vec<ProbeResult> =
diesel::sql_query("SELECT 1 as one FROM daily_conversation_summaries LIMIT 1")
.load(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Failed to probe daily summaries: {}", e))?;
Ok(!rows.is_empty())
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
}
// Helper structs for raw SQL queries
+61 -1
View File
@@ -21,6 +21,22 @@ pub trait InsightDao: Sync + Send {
file_path: &str,
) -> Result<Option<PhotoInsight>, DbError>;
/// Library-scoped variant of `get_insight`. The default `get_insight`
/// finds any `is_current=true` row matching `file_path` across
/// libraries — fine for the photo-grid metadata fetch (cross-library
/// merge), wrong for the chat path: a regenerate on lib1 flips lib1's
/// row to `is_current=false` and inserts a new lib1 row, but
/// lib2's untouched `is_current=true` row for the same rel_path
/// would still satisfy the path-only query and shadow the regen on
/// the next history fetch. Always pass a library_id when you have
/// one (chat / insight write paths always do).
fn get_current_insight_for_library(
&mut self,
context: &opentelemetry::Context,
library_id: i32,
file_path: &str,
) -> Result<Option<PhotoInsight>, DbError>;
/// Return the most recent current insight whose rel_path is one of
/// `paths`. Used for content-hash sharing: the caller expands a
/// single file into all rel_paths with the same content_hash, then
@@ -111,13 +127,30 @@ impl InsightDao for SqliteInsightDao {
fn store_insight(
&mut self,
context: &opentelemetry::Context,
insight: InsertPhotoInsight,
mut insight: InsertPhotoInsight,
) -> Result<PhotoInsight, DbError> {
trace_db_call(context, "insert", "store_insight", |_span| {
use schema::photo_insights::dsl::*;
let mut connection = self.connection.lock().expect("Unable to get InsightDao");
// Eagerly populate content_hash so this insight follows the
// bytes (CLAUDE.md "Multi-library data model"). Caller-
// supplied hash wins; otherwise look it up from image_exif
// for the (library_id, rel_path) tuple. None is acceptable —
// reconciliation backfills it once the hash lands.
if insight.content_hash.is_none() {
use schema::image_exif as ie;
insight.content_hash = ie::table
.filter(ie::library_id.eq(insight.library_id))
.filter(ie::rel_path.eq(&insight.file_path))
.filter(ie::content_hash.is_not_null())
.select(ie::content_hash)
.first::<Option<String>>(connection.deref_mut())
.ok()
.flatten();
}
// Mark all existing insights for this file as no longer current
diesel::update(
photo_insights
@@ -165,6 +198,33 @@ impl InsightDao for SqliteInsightDao {
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn get_current_insight_for_library(
&mut self,
context: &opentelemetry::Context,
lib_id: i32,
path: &str,
) -> Result<Option<PhotoInsight>, DbError> {
trace_db_call(
context,
"query",
"get_current_insight_for_library",
|_span| {
use schema::photo_insights::dsl::*;
let mut connection = self.connection.lock().expect("Unable to get InsightDao");
photo_insights
.filter(library_id.eq(lib_id))
.filter(rel_path.eq(path))
.filter(is_current.eq(true))
.first::<PhotoInsight>(connection.deref_mut())
.optional()
.map_err(|_| anyhow::anyhow!("Query error"))
},
)
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn get_insight_for_paths(
&mut self,
context: &opentelemetry::Context,
File diff suppressed because it is too large Load Diff
+1409 -7
View File
File diff suppressed because it is too large Load Diff
+141 -2
View File
@@ -1,6 +1,6 @@
use crate::database::schema::{
entities, entity_facts, entity_photo_links, favorites, image_exif, libraries, photo_insights,
users, video_preview_clips,
entities, entity_facts, entity_photo_links, favorites, image_exif, libraries, personas,
photo_insights, users, video_preview_clips,
};
use serde::Serialize;
@@ -59,6 +59,16 @@ pub struct InsertImageExif {
pub last_modified: i64,
pub content_hash: Option<String>,
pub size_bytes: Option<i64>,
/// 64-bit pHash (DCT) packed as i64. NULL for videos and decode failures.
pub phash_64: Option<i64>,
/// 64-bit dHash (gradient). NULL for videos and decode failures.
pub dhash_64: Option<i64>,
/// Which step of the canonical-date waterfall populated `date_taken`:
/// `"exif"` | `"exiftool"` | `"filename"` | `"fs_time"`. NULL when
/// `date_taken` is NULL (no source resolved it). The per-tick backfill
/// drain re-resolves rows whose source is `"fs_time"` once exiftool
/// has had a chance to run.
pub date_taken_source: Option<String>,
}
// Field order matches the post-migration column order in `image_exif`.
@@ -86,6 +96,24 @@ pub struct ImageExif {
pub last_modified: i64,
pub content_hash: Option<String>,
pub size_bytes: Option<i64>,
pub phash_64: Option<i64>,
pub dhash_64: Option<i64>,
/// When non-null, this row is a soft-marked duplicate of the file
/// whose `content_hash` matches this value. The default `/photos`
/// listing filters such rows out.
pub duplicate_of_hash: Option<String>,
/// Unix seconds at which the resolve was committed.
pub duplicate_decided_at: Option<i64>,
/// Which step of the canonical-date waterfall populated `date_taken`.
/// Plus `"manual"` when the operator has set it via POST /image/exif/date.
pub date_taken_source: Option<String>,
/// Snapshot of the prior `date_taken` taken on first manual override.
/// NULL when no override is active. POST /image/exif/date/clear restores
/// `date_taken` from this column and nulls it back out.
pub original_date_taken: Option<i64>,
/// Snapshot of the prior `date_taken_source` taken on first manual
/// override. NULL when no override is active.
pub original_date_taken_source: Option<String>,
}
#[derive(Insertable)]
@@ -108,6 +136,13 @@ pub struct InsertPhotoInsight {
/// generation). Used downstream to filter out contaminated rows when
/// assembling an unbiased training / evaluation set.
pub fewshot_source_ids: Option<String>,
/// Bytes-keyed identity. When present, this insight is considered
/// to belong to the content rather than the path — see CLAUDE.md
/// "Multi-library data model". The DAO populates this from
/// `image_exif.content_hash` at insert time when known; rows
/// inserted before the hash is available stay null and the
/// reconciliation pass backfills them.
pub content_hash: Option<String>,
}
#[derive(Serialize, Queryable, Clone, Debug)]
@@ -126,6 +161,7 @@ pub struct PhotoInsight {
/// `"local"` (Ollama with images) | `"hybrid"` (local vision + OpenRouter chat).
pub backend: String,
pub fewshot_source_ids: Option<String>,
pub content_hash: Option<String>,
}
// --- Libraries ---
@@ -136,6 +172,20 @@ pub struct LibraryRow {
pub name: String,
pub root_path: String,
pub created_at: i64,
/// Operator kill switch. `false` = the watcher skips this library
/// entirely (no probe, no ingest, no maintenance) and orphan-GC
/// treats it as out-of-scope for the all-online consensus rule.
/// Toggle via SQL today — there is intentionally no HTTP endpoint
/// for library mutation (see CLAUDE.md "Multi-library data model").
pub enabled: bool,
/// Per-library excluded paths/patterns, stored comma-separated
/// (same shape as the global `EXCLUDED_DIRS` env var). NULL = no
/// extra excludes for this library; the global env var still
/// applies. The runtime `Library` struct parses this into a
/// `Vec<String>` and the walker applies the union of (global,
/// library) excludes when scanning. Use case: mount a parent
/// directory while another library covers a child subtree.
pub excluded_dirs: Option<String>,
}
#[derive(Insertable)]
@@ -144,6 +194,8 @@ pub struct InsertLibrary<'a> {
pub name: &'a str,
pub root_path: &'a str,
pub created_at: i64,
pub enabled: bool,
pub excluded_dirs: Option<&'a str>,
}
// --- Knowledge memory models ---
@@ -186,6 +238,44 @@ pub struct InsertEntityFact {
pub confidence: f32,
pub status: String,
pub created_at: i64,
/// Which persona authored this fact. Shared entities, persona-tagged
/// facts: each persona accumulates its own voice over the same
/// real-world referents. Defaults to `'default'` for legacy rows
/// (see migration 2026-05-09-000000).
pub persona_id: String,
/// Author's user_id. Required for the composite FK to
/// `personas(user_id, persona_id)` (migration 2026-05-10-000000) and
/// for cross-user fact isolation: two users with the same 'default'
/// persona must not see each other's facts. Always paired with
/// `persona_id` — they're a unit.
pub user_id: i32,
/// Real-world period the fact is/was true (unix seconds). NULL on
/// either side = unbounded — `valid_from IS NULL` reads as
/// "always-true-back-to-the-beginning", `valid_until IS NULL` as
/// "still-true-now-or-unknown". Distinguishes valid time from
/// transaction time (`created_at` is when we recorded the fact,
/// not when it was true in the world). See migration
/// 2026-05-10-000100.
pub valid_from: Option<i64>,
pub valid_until: Option<i64>,
/// Points at the entity_facts.id that replaced this one. Set by
/// the supersede endpoint; status flips to 'superseded' in the
/// same transaction. See migration 2026-05-10-000200.
pub superseded_by: Option<i32>,
/// Provenance for model audit — see migration 2026-05-10-000300.
/// `created_by_model` is the LLM identifier (e.g. "qwen2.5:7b",
/// "anthropic/claude-sonnet-4") or NULL for legacy / manual rows.
/// `created_by_backend` is "local" / "hybrid" / "manual" / NULL.
pub created_by_model: Option<String>,
pub created_by_backend: Option<String>,
/// Audit trail for mutations after creation — see migration
/// 2026-05-10-000500. `last_modified_*` stamp on any update
/// (status flip, valid-time edit, supersede, manual PATCH);
/// `last_modified_at` is unix seconds. NULL on rows that have
/// never been touched since creation.
pub last_modified_by_model: Option<String>,
pub last_modified_by_backend: Option<String>,
pub last_modified_at: Option<i64>,
}
#[derive(Serialize, Queryable, Clone, Debug)]
@@ -200,6 +290,16 @@ pub struct EntityFact {
pub confidence: f32,
pub status: String,
pub created_at: i64,
pub persona_id: String,
pub user_id: i32,
pub valid_from: Option<i64>,
pub valid_until: Option<i64>,
pub superseded_by: Option<i32>,
pub created_by_model: Option<String>,
pub created_by_backend: Option<String>,
pub last_modified_by_model: Option<String>,
pub last_modified_by_backend: Option<String>,
pub last_modified_at: Option<i64>,
}
#[derive(Insertable)]
@@ -222,6 +322,45 @@ pub struct EntityPhotoLink {
pub role: String,
}
// --- Personas ---
#[derive(Insertable)]
#[diesel(table_name = personas)]
pub struct InsertPersona<'a> {
pub user_id: i32,
pub persona_id: &'a str,
pub name: &'a str,
pub system_prompt: &'a str,
pub is_built_in: bool,
pub include_all_memories: bool,
pub created_at: i64,
pub updated_at: i64,
/// "Strict mode" — agent reads only see facts with status =
/// 'reviewed' (human-verified). Default false. See migration
/// 2026-05-10-000400.
pub reviewed_only_facts: bool,
/// Gate for the agent's update_fact / supersede_fact tools.
/// Default false — fresh personas let the agent create but not
/// alter or replace. Operator opts in once a model has earned
/// trust. See migration 2026-05-10-000500.
pub allow_agent_corrections: bool,
}
#[derive(Serialize, Queryable, Clone, Debug)]
pub struct Persona {
pub id: i32,
pub user_id: i32,
pub persona_id: String,
pub name: String,
pub system_prompt: String,
pub is_built_in: bool,
pub include_all_memories: bool,
pub created_at: i64,
pub updated_at: i64,
pub reviewed_only_facts: bool,
pub allow_agent_corrections: bool,
}
#[derive(Insertable)]
#[diesel(table_name = video_preview_clips)]
pub struct InsertVideoPreviewClip {
+447
View File
@@ -0,0 +1,447 @@
#![allow(dead_code)]
use diesel::prelude::*;
use diesel::sqlite::SqliteConnection;
use std::ops::DerefMut;
use std::sync::{Arc, Mutex};
use crate::database::models::{InsertPersona, Persona};
use crate::database::schema;
use crate::database::{DbError, DbErrorKind, connect};
use crate::otel::trace_db_call;
/// Patch shape for update_persona. None = leave field alone. Built-ins are
/// allowed to flip `include_all_memories` but should reject name/prompt
/// edits at the handler layer (built-in copy lives in the migration).
pub struct PersonaPatch {
pub name: Option<String>,
pub system_prompt: Option<String>,
pub include_all_memories: Option<bool>,
pub reviewed_only_facts: Option<bool>,
pub allow_agent_corrections: Option<bool>,
}
/// One row of a bulk migration upload. Fields named to match the JSON
/// shape the mobile client uploads (`POST /personas/migrate`).
pub struct ImportPersona {
pub persona_id: String,
pub name: String,
pub system_prompt: String,
pub is_built_in: bool,
pub created_at: i64,
}
pub trait PersonaDao: Sync + Send {
fn list_personas(
&mut self,
cx: &opentelemetry::Context,
user_id: i32,
) -> Result<Vec<Persona>, DbError>;
fn get_persona(
&mut self,
cx: &opentelemetry::Context,
user_id: i32,
persona_id: &str,
) -> Result<Option<Persona>, DbError>;
fn create_persona(
&mut self,
cx: &opentelemetry::Context,
user_id: i32,
persona_id: &str,
name: &str,
system_prompt: &str,
is_built_in: bool,
include_all_memories: bool,
) -> Result<Persona, DbError>;
fn update_persona(
&mut self,
cx: &opentelemetry::Context,
user_id: i32,
persona_id: &str,
patch: PersonaPatch,
) -> Result<Option<Persona>, DbError>;
fn delete_persona(
&mut self,
cx: &opentelemetry::Context,
user_id: i32,
persona_id: &str,
) -> Result<bool, DbError>;
/// Idempotent bulk import. INSERT OR IGNORE on (user_id, persona_id)
/// — re-uploading the same set is a no-op. Returns the number of rows
/// actually inserted (skipped duplicates don't count).
fn bulk_import(
&mut self,
cx: &opentelemetry::Context,
user_id: i32,
personas: &[ImportPersona],
) -> Result<usize, DbError>;
}
pub struct SqlitePersonaDao {
connection: Arc<Mutex<SqliteConnection>>,
}
impl Default for SqlitePersonaDao {
fn default() -> Self {
Self::new()
}
}
impl SqlitePersonaDao {
pub fn new() -> Self {
Self {
connection: Arc::new(Mutex::new(connect())),
}
}
pub fn from_connection(conn: Arc<Mutex<SqliteConnection>>) -> Self {
Self { connection: conn }
}
}
impl PersonaDao for SqlitePersonaDao {
fn list_personas(
&mut self,
cx: &opentelemetry::Context,
uid: i32,
) -> Result<Vec<Persona>, DbError> {
trace_db_call(cx, "query", "list_personas", |_span| {
use schema::personas::dsl::*;
let mut conn = self.connection.lock().expect("PersonaDao lock");
personas
.filter(user_id.eq(uid))
.order(created_at.asc())
.load::<Persona>(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Query error: {}", e))
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn get_persona(
&mut self,
cx: &opentelemetry::Context,
uid: i32,
pid: &str,
) -> Result<Option<Persona>, DbError> {
trace_db_call(cx, "query", "get_persona", |_span| {
use schema::personas::dsl::*;
let mut conn = self.connection.lock().expect("PersonaDao lock");
personas
.filter(user_id.eq(uid))
.filter(persona_id.eq(pid))
.first::<Persona>(conn.deref_mut())
.optional()
.map_err(|e| anyhow::anyhow!("Query error: {}", e))
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn create_persona(
&mut self,
cx: &opentelemetry::Context,
uid: i32,
pid: &str,
nm: &str,
prompt: &str,
builtin: bool,
include_all: bool,
) -> Result<Persona, DbError> {
trace_db_call(cx, "insert", "create_persona", |_span| {
use schema::personas::dsl::*;
let mut conn = self.connection.lock().expect("PersonaDao lock");
let now = chrono::Utc::now().timestamp_millis();
diesel::insert_into(personas)
.values(InsertPersona {
user_id: uid,
persona_id: pid,
name: nm,
system_prompt: prompt,
is_built_in: builtin,
include_all_memories: include_all,
created_at: now,
updated_at: now,
reviewed_only_facts: false,
allow_agent_corrections: false,
})
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Insert error: {}", e))?;
personas
.filter(user_id.eq(uid))
.filter(persona_id.eq(pid))
.first::<Persona>(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Query error: {}", e))
})
.map_err(|_| DbError::new(DbErrorKind::InsertError))
}
fn update_persona(
&mut self,
cx: &opentelemetry::Context,
uid: i32,
pid: &str,
patch: PersonaPatch,
) -> Result<Option<Persona>, DbError> {
trace_db_call(cx, "update", "update_persona", |_span| {
use schema::personas::dsl::*;
let mut conn = self.connection.lock().expect("PersonaDao lock");
let now = chrono::Utc::now().timestamp_millis();
// Apply each field as its own UPDATE — keeps types simple
// (Diesel's tuple updates don't compose cleanly across optional
// columns) and matches the pattern already in use for entities
// (knowledge_dao.rs::update_entity).
if let Some(ref new_name) = patch.name {
diesel::update(personas.filter(user_id.eq(uid)).filter(persona_id.eq(pid)))
.set((name.eq(new_name), updated_at.eq(now)))
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Update name error: {}", e))?;
}
if let Some(ref new_prompt) = patch.system_prompt {
diesel::update(personas.filter(user_id.eq(uid)).filter(persona_id.eq(pid)))
.set((system_prompt.eq(new_prompt), updated_at.eq(now)))
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Update prompt error: {}", e))?;
}
if let Some(new_include_all) = patch.include_all_memories {
diesel::update(personas.filter(user_id.eq(uid)).filter(persona_id.eq(pid)))
.set((include_all_memories.eq(new_include_all), updated_at.eq(now)))
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Update include_all error: {}", e))?;
}
if let Some(new_reviewed_only) = patch.reviewed_only_facts {
diesel::update(personas.filter(user_id.eq(uid)).filter(persona_id.eq(pid)))
.set((
reviewed_only_facts.eq(new_reviewed_only),
updated_at.eq(now),
))
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Update reviewed_only_facts error: {}", e))?;
}
if let Some(new_allow_corrections) = patch.allow_agent_corrections {
diesel::update(personas.filter(user_id.eq(uid)).filter(persona_id.eq(pid)))
.set((
allow_agent_corrections.eq(new_allow_corrections),
updated_at.eq(now),
))
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Update allow_agent_corrections error: {}", e))?;
}
personas
.filter(user_id.eq(uid))
.filter(persona_id.eq(pid))
.first::<Persona>(conn.deref_mut())
.optional()
.map_err(|e| anyhow::anyhow!("Query error: {}", e))
})
.map_err(|_| DbError::new(DbErrorKind::UpdateError))
}
fn delete_persona(
&mut self,
cx: &opentelemetry::Context,
uid: i32,
pid: &str,
) -> Result<bool, DbError> {
trace_db_call(cx, "delete", "delete_persona", |_span| {
use schema::personas::dsl::*;
let mut conn = self.connection.lock().expect("PersonaDao lock");
let n = diesel::delete(personas.filter(user_id.eq(uid)).filter(persona_id.eq(pid)))
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Delete error: {}", e))?;
Ok(n > 0)
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn bulk_import(
&mut self,
cx: &opentelemetry::Context,
uid: i32,
rows: &[ImportPersona],
) -> Result<usize, DbError> {
trace_db_call(cx, "insert", "bulk_import_personas", |_span| {
let mut conn = self.connection.lock().expect("PersonaDao lock");
let now = chrono::Utc::now().timestamp_millis();
let mut inserted = 0usize;
// INSERT OR IGNORE on the (user_id, persona_id) UNIQUE so
// re-running migrate is a no-op for personas already on the
// server.
for p in rows {
let n = diesel::sql_query(
"INSERT OR IGNORE INTO personas (user_id, persona_id, name, system_prompt, \
is_built_in, include_all_memories, created_at, updated_at) \
VALUES (?, ?, ?, ?, ?, 0, ?, ?)",
)
.bind::<diesel::sql_types::Integer, _>(uid)
.bind::<diesel::sql_types::Text, _>(&p.persona_id)
.bind::<diesel::sql_types::Text, _>(&p.name)
.bind::<diesel::sql_types::Text, _>(&p.system_prompt)
.bind::<diesel::sql_types::Bool, _>(p.is_built_in)
.bind::<diesel::sql_types::BigInt, _>(p.created_at)
.bind::<diesel::sql_types::BigInt, _>(now)
.execute(conn.deref_mut())
.map_err(|e| anyhow::anyhow!("Insert error: {}", e))?;
inserted += n;
}
Ok(inserted)
})
.map_err(|_| DbError::new(DbErrorKind::InsertError))
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::database::test::in_memory_db_connection;
fn dao_with_user(username: &str) -> (SqlitePersonaDao, i32) {
use crate::database::schema::users::dsl as u;
let conn = Arc::new(Mutex::new(in_memory_db_connection()));
diesel::insert_into(u::users)
.values((u::username.eq(username), u::password.eq("x")))
.execute(conn.lock().unwrap().deref_mut())
.unwrap();
let user_id: i32 = u::users
.filter(u::username.eq(username))
.select(u::id)
.first(conn.lock().unwrap().deref_mut())
.unwrap();
(SqlitePersonaDao::from_connection(conn), user_id)
}
#[test]
fn create_and_list_round_trip() {
let cx = opentelemetry::Context::new();
let (mut dao, uid) = dao_with_user("alice");
// The migration seeds 3 built-ins for any existing user; alice
// was created post-migration so she starts empty.
let p = dao
.create_persona(&cx, uid, "custom-1", "Custom A", "prompt A", false, false)
.unwrap();
assert_eq!(p.persona_id, "custom-1");
assert_eq!(p.user_id, uid);
assert!(!p.is_built_in);
let list = dao.list_personas(&cx, uid).unwrap();
assert_eq!(list.len(), 1);
assert_eq!(list[0].persona_id, "custom-1");
}
#[test]
fn unique_constraint_blocks_duplicate_persona_id() {
let cx = opentelemetry::Context::new();
let (mut dao, uid) = dao_with_user("bob");
dao.create_persona(&cx, uid, "x", "X", "p", false, false)
.unwrap();
let err = dao.create_persona(&cx, uid, "x", "X2", "p2", false, false);
assert!(
err.is_err(),
"second insert with same persona_id should fail"
);
}
#[test]
fn bulk_import_is_idempotent() {
let cx = opentelemetry::Context::new();
let (mut dao, uid) = dao_with_user("carol");
let rows = vec![
ImportPersona {
persona_id: "custom-a".into(),
name: "A".into(),
system_prompt: "p1".into(),
is_built_in: false,
created_at: 1,
},
ImportPersona {
persona_id: "custom-b".into(),
name: "B".into(),
system_prompt: "p2".into(),
is_built_in: false,
created_at: 2,
},
];
let first = dao.bulk_import(&cx, uid, &rows).unwrap();
assert_eq!(first, 2);
let second = dao.bulk_import(&cx, uid, &rows).unwrap();
assert_eq!(second, 0, "re-import should insert nothing");
assert_eq!(dao.list_personas(&cx, uid).unwrap().len(), 2);
}
#[test]
fn dao_update_does_not_block_built_ins() {
// Documenting contract: the DAO is intentionally permissive —
// `update_persona` will apply name/system_prompt edits to ANY
// row, including built-ins. The guard against editing built-in
// identity (name + systemPrompt) lives in the HTTP handler
// (src/personas.rs::update_persona). If you find yourself
// wanting to add the guard here too, prefer that — defence in
// depth — but keep this test passing so anyone who removes
// the handler guard gets a failing call site, not silent data
// corruption.
let cx = opentelemetry::Context::new();
let (mut dao, uid) = dao_with_user("eve");
dao.create_persona(&cx, uid, "default", "Default", "old", true, false)
.unwrap();
let updated = dao
.update_persona(
&cx,
uid,
"default",
PersonaPatch {
name: Some("Renamed".into()),
system_prompt: Some("new prompt".into()),
include_all_memories: None,
reviewed_only_facts: None,
allow_agent_corrections: None,
},
)
.unwrap()
.unwrap();
assert_eq!(updated.name, "Renamed");
assert_eq!(updated.system_prompt, "new prompt");
assert!(
updated.is_built_in,
"is_built_in flag should be unchanged by patch"
);
}
#[test]
fn update_toggles_include_all_memories() {
let cx = opentelemetry::Context::new();
let (mut dao, uid) = dao_with_user("dan");
dao.create_persona(&cx, uid, "j", "Journal", "p", true, false)
.unwrap();
let updated = dao
.update_persona(
&cx,
uid,
"j",
PersonaPatch {
name: None,
system_prompt: None,
include_all_memories: Some(true),
reviewed_only_facts: None,
allow_agent_corrections: None,
},
)
.unwrap()
.unwrap();
assert!(updated.include_all_memories);
}
}
+382
View File
@@ -0,0 +1,382 @@
//! Reconciliation pass for hash-keyed derived data.
//!
//! As `backfill_unhashed_backlog` populates `image_exif.content_hash`
//! for legacy rows, we want the matching `tagged_photo` and
//! `photo_insights` rows — which were inserted before the hash was
//! known — to inherit the hash too. Otherwise reads keep falling back
//! to the rel_path path even when a hash is now available.
//!
//! Two passes:
//! 1. **Hash backfill** — for every `tagged_photo` / `photo_insights`
//! row with NULL `content_hash`, look up the matching
//! `image_exif.content_hash` and write it. SQL-only; idempotent;
//! a no-op once everything is hashed.
//! 2. **Insight scalar merge** — when multiple `photo_insights` rows
//! share a `content_hash` with `is_current = true`, only the
//! earliest `generated_at` keeps `is_current = true` (per the
//! "earliest wins" rule in CLAUDE.md → "Multi-library data
//! model"). Others are demoted, not deleted, so they remain
//! visible in history endpoints.
//!
//! Tags are set-valued under the policy (union on read), so there's no
//! analogous "collapse" pass — duplicate `(tag_id, content_hash)` rows
//! across libraries are harmless and correctly de-duped at read time
//! by the existing `DISTINCT` queries.
//!
//! The pass operates on the database alone — no filesystem access —
//! so it doesn't need the library availability gate.
// The lib doesn't call into this module directly — the watcher (in the
// bin) does. Dead-code analysis at the lib level can't see that, so
// suppress at the module level. Tests still exercise every function.
#![allow(dead_code)]
use diesel::prelude::*;
use diesel::sql_query;
use diesel::sqlite::SqliteConnection;
use log::{debug, info, warn};
/// Outcome of a reconciliation tick. Tracked so the watcher can log
/// progress when something changed and stay quiet when nothing did.
#[derive(Debug, Default, Clone, Copy, PartialEq, Eq)]
pub struct ReconcileStats {
pub tagged_photo_hashes_filled: usize,
pub photo_insights_hashes_filled: usize,
pub photo_insights_demoted: usize,
}
impl ReconcileStats {
pub fn changed(&self) -> bool {
self.tagged_photo_hashes_filled > 0
|| self.photo_insights_hashes_filled > 0
|| self.photo_insights_demoted > 0
}
}
/// Run the reconciliation pass. Idempotent — safe to call on every
/// watcher tick. Errors are logged but never propagated; reconciliation
/// is best-effort and a transient DB hiccup must not stall the watcher.
pub fn run(conn: &mut SqliteConnection) -> ReconcileStats {
let mut stats = ReconcileStats::default();
stats.tagged_photo_hashes_filled = match backfill_tagged_photo_hashes(conn) {
Ok(n) => n,
Err(e) => {
warn!("reconcile: tagged_photo hash backfill failed: {:?}", e);
0
}
};
stats.photo_insights_hashes_filled = match backfill_photo_insights_hashes(conn) {
Ok(n) => n,
Err(e) => {
warn!("reconcile: photo_insights hash backfill failed: {:?}", e);
0
}
};
stats.photo_insights_demoted = match collapse_insight_currents(conn) {
Ok(n) => n,
Err(e) => {
warn!("reconcile: photo_insights scalar merge failed: {:?}", e);
0
}
};
if stats.changed() {
info!(
"reconcile: filled {} tagged_photo hash(es), {} photo_insights hash(es); demoted {} non-current insight row(s)",
stats.tagged_photo_hashes_filled,
stats.photo_insights_hashes_filled,
stats.photo_insights_demoted,
);
} else {
debug!("reconcile: no changes this tick");
}
stats
}
/// Populate `tagged_photo.content_hash` for any row that still has
/// NULL by joining on `rel_path` against `image_exif`. tagged_photo
/// doesn't carry `library_id`, so a path that exists under multiple
/// libraries with different content is genuinely ambiguous; we pick
/// any non-null hash for that path. Same trade-off as the migration
/// backfill — see `migrations/2026-05-01-000000_hash_keyed_derived_data`.
fn backfill_tagged_photo_hashes(conn: &mut SqliteConnection) -> QueryResult<usize> {
sql_query(
"UPDATE tagged_photo \
SET content_hash = ( \
SELECT content_hash FROM image_exif \
WHERE image_exif.rel_path = tagged_photo.rel_path \
AND image_exif.content_hash IS NOT NULL \
LIMIT 1 \
) \
WHERE content_hash IS NULL \
AND EXISTS ( \
SELECT 1 FROM image_exif \
WHERE image_exif.rel_path = tagged_photo.rel_path \
AND image_exif.content_hash IS NOT NULL \
)",
)
.execute(conn)
}
/// Populate `photo_insights.content_hash` from `image_exif`, keyed on
/// `(library_id, rel_path)`. Unambiguous because photo_insights carries
/// library_id.
fn backfill_photo_insights_hashes(conn: &mut SqliteConnection) -> QueryResult<usize> {
sql_query(
"UPDATE photo_insights \
SET content_hash = ( \
SELECT content_hash FROM image_exif \
WHERE image_exif.library_id = photo_insights.library_id \
AND image_exif.rel_path = photo_insights.rel_path \
AND image_exif.content_hash IS NOT NULL \
LIMIT 1 \
) \
WHERE content_hash IS NULL \
AND EXISTS ( \
SELECT 1 FROM image_exif \
WHERE image_exif.library_id = photo_insights.library_id \
AND image_exif.rel_path = photo_insights.rel_path \
AND image_exif.content_hash IS NOT NULL \
)",
)
.execute(conn)
}
/// Scalar-merge step: when multiple rows share a `content_hash` and
/// claim `is_current = true`, demote all but the earliest by
/// `generated_at` (ties broken by lowest id, deterministic).
///
/// Demoted rows keep their data — only `is_current` flips. Clients that
/// hit `/insights/history` still see the full sequence; only the
/// "current" pointer is unique per hash.
fn collapse_insight_currents(conn: &mut SqliteConnection) -> QueryResult<usize> {
sql_query(
"UPDATE photo_insights \
SET is_current = 0 \
WHERE is_current = 1 \
AND content_hash IS NOT NULL \
AND id NOT IN ( \
SELECT MIN(p2.id) FROM photo_insights p2 \
WHERE p2.is_current = 1 \
AND p2.content_hash = photo_insights.content_hash \
AND p2.generated_at = ( \
SELECT MIN(p3.generated_at) FROM photo_insights p3 \
WHERE p3.is_current = 1 \
AND p3.content_hash = p2.content_hash \
) \
)",
)
.execute(conn)
}
#[cfg(test)]
mod tests {
use super::*;
use crate::database::test::in_memory_db_connection;
fn ensure_library(conn: &mut SqliteConnection, library_id: i32) {
// Migration seeds library id=1; tests that reference id>1 must
// create those rows themselves, otherwise FK enforcement (added
// in the tags-edit migration) rejects image_exif inserts.
diesel::sql_query(
"INSERT OR IGNORE INTO libraries (id, name, root_path, created_at) \
VALUES (?, 'test-' || ?, '/tmp/test-' || ?, 0)",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Integer, _>(library_id)
.execute(conn)
.unwrap();
}
fn insert_image_exif(
conn: &mut SqliteConnection,
library_id: i32,
rel_path: &str,
content_hash: Option<&str>,
) {
use crate::database::schema::image_exif;
ensure_library(conn, library_id);
diesel::sql_query(
"INSERT INTO image_exif (library_id, rel_path, created_time, last_modified, content_hash) \
VALUES (?, ?, 0, 0, ?)",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Text, _>(rel_path)
.bind::<diesel::sql_types::Nullable<diesel::sql_types::Text>, _>(content_hash)
.execute(conn)
.unwrap();
// Keep clippy happy that the import is used.
let _ = image_exif::table;
}
fn insert_tagged_photo(conn: &mut SqliteConnection, rel_path: &str, tag_id: i32) {
diesel::sql_query(
"INSERT INTO tagged_photo (rel_path, tag_id, created_time) VALUES (?, ?, 0)",
)
.bind::<diesel::sql_types::Text, _>(rel_path)
.bind::<diesel::sql_types::Integer, _>(tag_id)
.execute(conn)
.unwrap();
}
fn insert_tag(conn: &mut SqliteConnection, id: i32, name: &str) {
diesel::sql_query("INSERT INTO tags (id, name, created_time) VALUES (?, ?, 0)")
.bind::<diesel::sql_types::Integer, _>(id)
.bind::<diesel::sql_types::Text, _>(name)
.execute(conn)
.unwrap();
}
fn insert_insight(
conn: &mut SqliteConnection,
library_id: i32,
rel_path: &str,
generated_at: i64,
is_current: bool,
) -> i32 {
ensure_library(conn, library_id);
diesel::sql_query(
"INSERT INTO photo_insights (library_id, rel_path, title, summary, generated_at, model_version, is_current, backend) \
VALUES (?, ?, 't', 's', ?, 'v', ?, 'local')",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Text, _>(rel_path)
.bind::<diesel::sql_types::BigInt, _>(generated_at)
.bind::<diesel::sql_types::Bool, _>(is_current)
.execute(conn)
.unwrap();
diesel::sql_query("SELECT last_insert_rowid() AS id")
.get_result::<TestId>(conn)
.map(|r| r.id)
.unwrap()
}
#[derive(QueryableByName)]
struct TestId {
#[diesel(sql_type = diesel::sql_types::Integer)]
id: i32,
}
#[derive(QueryableByName, Debug)]
struct HashOnly {
#[diesel(sql_type = diesel::sql_types::Nullable<diesel::sql_types::Text>)]
content_hash: Option<String>,
}
#[derive(QueryableByName, Debug)]
struct CurrentRow {
#[diesel(sql_type = diesel::sql_types::Integer)]
id: i32,
#[diesel(sql_type = diesel::sql_types::Bool)]
is_current: bool,
}
#[test]
fn backfill_fills_tagged_photo_hash_when_image_exif_has_one() {
let mut conn = in_memory_db_connection();
insert_tag(&mut conn, 1, "vacation");
insert_tagged_photo(&mut conn, "trip/IMG.jpg", 1);
// No image_exif row yet — backfill no-op.
let stats = run(&mut conn);
assert_eq!(stats.tagged_photo_hashes_filled, 0);
// image_exif row appears with a hash; next reconcile fills it.
insert_image_exif(&mut conn, 1, "trip/IMG.jpg", Some("hashabc"));
let stats = run(&mut conn);
assert_eq!(stats.tagged_photo_hashes_filled, 1);
let row = diesel::sql_query(
"SELECT content_hash FROM tagged_photo WHERE rel_path = 'trip/IMG.jpg'",
)
.get_result::<HashOnly>(&mut conn)
.unwrap();
assert_eq!(row.content_hash.as_deref(), Some("hashabc"));
// Idempotent: a second run is a no-op.
let stats = run(&mut conn);
assert_eq!(stats.tagged_photo_hashes_filled, 0);
}
#[test]
fn backfill_skips_tagged_photo_when_image_exif_has_no_hash() {
let mut conn = in_memory_db_connection();
insert_tag(&mut conn, 1, "vacation");
insert_tagged_photo(&mut conn, "trip/IMG.jpg", 1);
// image_exif exists but its hash is null.
insert_image_exif(&mut conn, 1, "trip/IMG.jpg", None);
let stats = run(&mut conn);
assert_eq!(stats.tagged_photo_hashes_filled, 0);
}
#[test]
fn backfill_fills_photo_insights_hash_scoped_by_library() {
let mut conn = in_memory_db_connection();
// Row in library 1 only — must not be filled by a hash from
// library 2's same-rel_path entry.
insert_image_exif(&mut conn, 1, "shared.jpg", Some("hash-lib1"));
let id1 = insert_insight(&mut conn, 1, "shared.jpg", 100, true);
let stats = run(&mut conn);
assert_eq!(stats.photo_insights_hashes_filled, 1);
let row = diesel::sql_query("SELECT content_hash FROM photo_insights WHERE id = ?")
.bind::<diesel::sql_types::Integer, _>(id1)
.get_result::<HashOnly>(&mut conn)
.unwrap();
assert_eq!(row.content_hash.as_deref(), Some("hash-lib1"));
}
#[test]
fn collapse_keeps_earliest_is_current_per_hash() {
let mut conn = in_memory_db_connection();
// Two libraries, same content_hash via image_exif. Insights
// were generated independently in each library, both currently
// is_current = true. The earlier one wins.
insert_image_exif(&mut conn, 1, "a.jpg", Some("h1"));
insert_image_exif(&mut conn, 2, "a.jpg", Some("h1"));
let earlier = insert_insight(&mut conn, 1, "a.jpg", 100, true);
let later = insert_insight(&mut conn, 2, "a.jpg", 200, true);
// First pass fills the content_hash; second collapses.
let stats = run(&mut conn);
assert_eq!(stats.photo_insights_hashes_filled, 2);
assert_eq!(stats.photo_insights_demoted, 1);
let rows = diesel::sql_query("SELECT id, is_current FROM photo_insights ORDER BY id")
.get_results::<CurrentRow>(&mut conn)
.unwrap();
let earlier_row = rows.iter().find(|r| r.id == earlier).unwrap();
let later_row = rows.iter().find(|r| r.id == later).unwrap();
assert!(
earlier_row.is_current,
"earlier insight should remain current"
);
assert!(!later_row.is_current, "later insight should be demoted");
// Idempotent.
let stats = run(&mut conn);
assert_eq!(stats.photo_insights_demoted, 0);
}
#[test]
fn collapse_does_not_demote_a_solo_current_row() {
let mut conn = in_memory_db_connection();
insert_image_exif(&mut conn, 1, "a.jpg", Some("h1"));
let solo = insert_insight(&mut conn, 1, "a.jpg", 100, true);
let stats = run(&mut conn);
assert_eq!(stats.photo_insights_demoted, 0);
let row = diesel::sql_query("SELECT id, is_current FROM photo_insights WHERE id = ?")
.bind::<diesel::sql_types::Integer, _>(solo)
.get_result::<CurrentRow>(&mut conn)
.unwrap();
assert!(row.is_current);
}
}
+39
View File
@@ -57,6 +57,16 @@ diesel::table! {
confidence -> Float,
status -> Text,
created_at -> BigInt,
persona_id -> Text,
user_id -> Integer,
valid_from -> Nullable<BigInt>,
valid_until -> Nullable<BigInt>,
superseded_by -> Nullable<Integer>,
created_by_model -> Nullable<Text>,
created_by_backend -> Nullable<Text>,
last_modified_by_model -> Nullable<Text>,
last_modified_by_backend -> Nullable<Text>,
last_modified_at -> Nullable<BigInt>,
}
}
@@ -121,6 +131,13 @@ diesel::table! {
last_modified -> BigInt,
content_hash -> Nullable<Text>,
size_bytes -> Nullable<BigInt>,
phash_64 -> Nullable<BigInt>,
dhash_64 -> Nullable<BigInt>,
duplicate_of_hash -> Nullable<Text>,
duplicate_decided_at -> Nullable<BigInt>,
date_taken_source -> Nullable<Text>,
original_date_taken -> Nullable<BigInt>,
original_date_taken_source -> Nullable<Text>,
}
}
@@ -130,6 +147,8 @@ diesel::table! {
name -> Text,
root_path -> Text,
created_at -> BigInt,
enabled -> Bool,
excluded_dirs -> Nullable<Text>,
}
}
@@ -150,6 +169,22 @@ diesel::table! {
}
}
diesel::table! {
personas (id) {
id -> Integer,
user_id -> Integer,
persona_id -> Text,
name -> Text,
system_prompt -> Text,
is_built_in -> Bool,
include_all_memories -> Bool,
created_at -> BigInt,
updated_at -> BigInt,
reviewed_only_facts -> Bool,
allow_agent_corrections -> Bool,
}
}
diesel::table! {
persons (id) {
id -> Integer,
@@ -178,6 +213,7 @@ diesel::table! {
approved -> Nullable<Bool>,
backend -> Text,
fewshot_source_ids -> Nullable<Text>,
content_hash -> Nullable<Text>,
}
}
@@ -199,6 +235,7 @@ diesel::table! {
rel_path -> Text,
tag_id -> Integer,
created_time -> BigInt,
content_hash -> Nullable<Text>,
}
}
@@ -238,6 +275,7 @@ diesel::joinable!(entity_photo_links -> libraries (library_id));
diesel::joinable!(face_detections -> libraries (library_id));
diesel::joinable!(face_detections -> persons (person_id));
diesel::joinable!(image_exif -> libraries (library_id));
diesel::joinable!(personas -> users (user_id));
diesel::joinable!(persons -> entities (entity_id));
diesel::joinable!(photo_insights -> libraries (library_id));
diesel::joinable!(tagged_photo -> tags (tag_id));
@@ -254,6 +292,7 @@ diesel::allow_tables_to_appear_in_same_query!(
image_exif,
libraries,
location_history,
personas,
persons,
photo_insights,
search_history,
+507
View File
@@ -0,0 +1,507 @@
//! Canonical `date_taken` resolution for ingest and the per-tick backfill
//! drain.
//!
//! The waterfall (in order; first hit wins):
//!
//! 1. **kamadak-exif** — fast in-process EXIF read. Already done by
//! `exif::extract_exif_from_path` for image-bearing formats; callers
//! pass that result in via `prior_exif_date` so we don't re-parse.
//! 2. **exiftool** — shell-out fallback that reaches places kamadak-exif
//! can't: QuickTime/MP4 (`MediaCreateDate`, `TrackCreateDate`,
//! `CreateDate`), Apple's `ContentCreateDate`, MakerNote sub-IFDs.
//! Required for videos to land a real date; degrades silently when
//! `exiftool` isn't on PATH.
//! 3. **filename regex** — `memories::extract_date_from_filename` covers
//! common screenshot / chat-export / timestamp-named patterns.
//! 4. **earliest filesystem time** — `utils::earliest_fs_time` picks the
//! earlier of created / modified, which on copied-from-backup files is
//! a better proxy for content age than either alone.
//!
//! `DateSource` records which step won so the per-tick drain can re-resolve
//! weak sources (`fs_time`) once exiftool becomes available, and so the
//! UI/debug surface can answer "why does this photo show up under this
//! date." Note that the previous `/memories` request-time logic preferred
//! filename even when EXIF was present; this resolver inverts that — EXIF
//! is authoritative when it exists, on the theory that an EXIF
//! `DateTimeOriginal` is more reliable than a filename pattern that may
//! reflect import time rather than capture time.
use std::collections::HashMap;
use std::io::Write;
use std::path::{Path, PathBuf};
use std::process::{Command, Stdio};
use std::sync::OnceLock;
use chrono::{DateTime, Utc};
use log::{debug, trace, warn};
use serde::Deserialize;
use crate::utils::earliest_fs_time;
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub enum DateSource {
/// kamadak-exif read DateTime/DateTimeOriginal directly.
Exif,
/// exiftool fallback caught a video / MakerNote / QuickTime tag.
Exiftool,
/// `extract_date_from_filename` matched a known pattern.
Filename,
/// Fell through to `earliest_fs_time(metadata)`.
FsTime,
}
impl DateSource {
pub fn as_str(self) -> &'static str {
match self {
DateSource::Exif => "exif",
DateSource::Exiftool => "exiftool",
DateSource::Filename => "filename",
DateSource::FsTime => "fs_time",
}
}
}
#[derive(Copy, Clone, Debug)]
pub struct ResolvedDate {
pub timestamp: i64,
pub source: DateSource,
}
/// Resolve the canonical date for a single file, given an already-extracted
/// kamadak-exif date if available. Returns `None` only if every step in the
/// waterfall fails — for files that exist on disk this should be vanishingly
/// rare (the fs-time fallback alone almost always succeeds).
pub fn resolve_date_taken(path: &Path, prior_exif_date: Option<i64>) -> Option<ResolvedDate> {
if let Some(ts) = prior_exif_date {
return Some(ResolvedDate {
timestamp: ts,
source: DateSource::Exif,
});
}
if let Some(ts) = exiftool_date_single(path) {
return Some(ResolvedDate {
timestamp: ts,
source: DateSource::Exiftool,
});
}
if let Some(dt) = path
.file_name()
.and_then(|f| f.to_str())
.and_then(crate::memories::extract_date_from_filename)
{
return Some(ResolvedDate {
timestamp: dt.timestamp(),
source: DateSource::Filename,
});
}
if let Ok(meta) = std::fs::metadata(path)
&& let Some(t) = earliest_fs_time(&meta)
{
let dt: DateTime<Utc> = t.into();
return Some(ResolvedDate {
timestamp: dt.timestamp(),
source: DateSource::FsTime,
});
}
None
}
/// Batch waterfall. exiftool runs once over the whole batch (single
/// subprocess); everything else is per-file and runs only on misses.
/// `prior_exif_dates` lets the caller pass in already-known kamadak dates
/// keyed by path; entries without a prior date fall through to exiftool
/// and the rest of the waterfall.
///
/// The per-tick backfill drain is the primary caller — it loads ~500 rows
/// at a time and uses one exiftool subprocess to drain the lot.
pub fn resolve_dates_batch(
paths: &[PathBuf],
prior_exif_dates: &HashMap<PathBuf, i64>,
) -> HashMap<PathBuf, ResolvedDate> {
let mut out: HashMap<PathBuf, ResolvedDate> = HashMap::new();
let mut needs_exiftool: Vec<&Path> = Vec::with_capacity(paths.len());
for path in paths {
if let Some(&ts) = prior_exif_dates.get(path) {
out.insert(
path.clone(),
ResolvedDate {
timestamp: ts,
source: DateSource::Exif,
},
);
} else {
needs_exiftool.push(path.as_path());
}
}
if !needs_exiftool.is_empty() {
let exiftool_results = exiftool_dates_batch(&needs_exiftool);
for path in &needs_exiftool {
if let Some(&ts) = exiftool_results.get(*path) {
out.insert(
path.to_path_buf(),
ResolvedDate {
timestamp: ts,
source: DateSource::Exiftool,
},
);
}
}
}
for path in paths {
if out.contains_key(path) {
continue;
}
if let Some(dt) = path
.file_name()
.and_then(|f| f.to_str())
.and_then(crate::memories::extract_date_from_filename)
{
out.insert(
path.clone(),
ResolvedDate {
timestamp: dt.timestamp(),
source: DateSource::Filename,
},
);
continue;
}
if let Ok(meta) = std::fs::metadata(path)
&& let Some(t) = earliest_fs_time(&meta)
{
let dt: DateTime<Utc> = t.into();
out.insert(
path.clone(),
ResolvedDate {
timestamp: dt.timestamp(),
source: DateSource::FsTime,
},
);
}
}
out
}
/// Tag priority for exiftool extraction. First non-zero value wins.
///
/// Photos: `DateTimeOriginal` (original capture) and `SubSecDateTimeOriginal`
/// are most authoritative. `CreateDate` is a common alias and a sane fallback.
///
/// Videos: `MediaCreateDate` / `TrackCreateDate` are the QuickTime/MP4
/// timestamps. `ContentCreateDate` is Apple's iOS-set tag; it often
/// reflects local capture time on iPhone exports better than the others.
///
/// Notably absent: `FileModifyDate` / `FileAccessDate` — those are
/// filesystem-derived and the resolver covers them via the `fs_time`
/// fallback. Letting exiftool pull them here would mask "no real EXIF
/// date" with a `source = exiftool` row that's no better than fs_time.
const EXIFTOOL_DATE_TAGS: &[&str] = &[
"DateTimeOriginal",
"SubSecDateTimeOriginal",
"CreateDate",
"MediaCreateDate",
"TrackCreateDate",
"ContentCreateDate",
];
/// Cache the "exiftool exists on PATH" check across the process lifetime so
/// the per-tick backfill doesn't fork a doomed subprocess every iteration on
/// deploys without exiftool installed.
fn exiftool_available() -> bool {
static AVAIL: OnceLock<bool> = OnceLock::new();
*AVAIL.get_or_init(|| {
let ok = Command::new("exiftool")
.arg("-ver")
.stdout(Stdio::null())
.stderr(Stdio::null())
.status()
.map(|s| s.success())
.unwrap_or(false);
if !ok {
warn!("exiftool not on PATH; date_taken waterfall skips that step");
}
ok
})
}
/// One-file exiftool invocation. Used by the upload + GPS-write paths,
/// which deal with one file at a time. The batch path uses
/// `exiftool_dates_batch` so we don't pay subprocess startup per row.
///
/// Notably absent: `-fast` / `-fast2`. For QuickTime/MP4 files whose
/// `moov` atom sits at the end (non-faststart, common for Snapchat
/// exports and any MP4 muxed without `-movflags +faststart`), `-fast2`
/// causes exiftool to skip the trailer and return no `CreateDate` /
/// `MediaCreateDate`, dropping us to the `fs_time` fallback for files
/// that actually have a real capture date. We pre-filter to files that
/// kamadak-exif couldn't read, so the JPEG fast-path is already covered
/// — paying full-scan cost on the residual is the right trade.
fn exiftool_date_single(path: &Path) -> Option<i64> {
if !exiftool_available() {
return None;
}
let mut cmd = Command::new("exiftool");
cmd.arg("-j").arg("-q").arg("-d").arg("%s");
for tag in EXIFTOOL_DATE_TAGS {
cmd.arg(format!("-{}", tag));
}
cmd.arg(path);
let output = cmd.output().ok()?;
if !output.status.success() {
trace!("exiftool exited non-zero for {:?}", path);
return None;
}
parse_exiftool_json(&output.stdout)
.into_iter()
.next()
.map(|(_, ts)| ts)
}
/// Drain a batch via a single exiftool subprocess. Paths are fed on stdin
/// via `-@ -`, so the argv stays short regardless of batch size — safe for
/// libraries with very long path components.
fn exiftool_dates_batch(paths: &[&Path]) -> HashMap<PathBuf, i64> {
let mut out = HashMap::new();
if paths.is_empty() || !exiftool_available() {
return out;
}
let mut cmd = Command::new("exiftool");
// No `-fast2` — see exiftool_date_single for the rationale (QuickTime
// moov-at-end files miss CreateDate / MediaCreateDate when the trailer
// is skipped).
cmd.arg("-j").arg("-q").arg("-d").arg("%s");
for tag in EXIFTOOL_DATE_TAGS {
cmd.arg(format!("-{}", tag));
}
cmd.arg("-@").arg("-");
cmd.stdin(Stdio::piped())
.stdout(Stdio::piped())
.stderr(Stdio::null());
let mut child = match cmd.spawn() {
Ok(c) => c,
Err(e) => {
warn!("exiftool batch spawn failed: {}", e);
return out;
}
};
if let Some(mut stdin) = child.stdin.take() {
for p in paths {
// exiftool's argfile reader treats each line as one path; OS
// path bytes don't always survive a String round-trip, but
// every path we get here originated from rel_path / root_path
// strings already, so to-string-lossy is a non-event.
if let Err(e) = writeln!(stdin, "{}", p.display()) {
warn!("exiftool batch stdin write failed: {}", e);
break;
}
}
}
let output = match child.wait_with_output() {
Ok(o) => o,
Err(e) => {
warn!("exiftool batch wait failed: {}", e);
return out;
}
};
if !output.status.success() {
debug!(
"exiftool batch exit status {:?}; partial output may still parse",
output.status.code()
);
}
for (source, ts) in parse_exiftool_json(&output.stdout) {
out.insert(PathBuf::from(source), ts);
}
out
}
/// One row per input file. exiftool emits any tag we asked for that was
/// present, plus the `SourceFile` it was reading. Tags are JSON values
/// because `-d %s` returns the timestamp as a *string* of digits, not a
/// number, when the date parses; absent tags are simply missing keys.
#[derive(Debug, Deserialize)]
struct ExiftoolEntry {
#[serde(rename = "SourceFile")]
source_file: String,
#[serde(rename = "DateTimeOriginal")]
date_time_original: Option<serde_json::Value>,
#[serde(rename = "SubSecDateTimeOriginal")]
sub_sec_date_time_original: Option<serde_json::Value>,
#[serde(rename = "CreateDate")]
create_date: Option<serde_json::Value>,
#[serde(rename = "MediaCreateDate")]
media_create_date: Option<serde_json::Value>,
#[serde(rename = "TrackCreateDate")]
track_create_date: Option<serde_json::Value>,
#[serde(rename = "ContentCreateDate")]
content_create_date: Option<serde_json::Value>,
}
fn parse_exiftool_json(stdout: &[u8]) -> Vec<(String, i64)> {
let entries: Vec<ExiftoolEntry> = match serde_json::from_slice(stdout) {
Ok(v) => v,
Err(e) => {
// Empty stdout on total failure isn't a parse error worth
// logging at warn — the caller already noted the non-zero
// exit status.
if !stdout.is_empty() {
warn!("exiftool JSON parse failed: {}", e);
}
return Vec::new();
}
};
let mut out = Vec::with_capacity(entries.len());
for entry in entries {
// Walk the priority list. exiftool sometimes returns the literal
// string "0000:00:00 00:00:00" for missing-but-allocated date
// slots; with `-d %s` that becomes the unix epoch (0). Reject
// anything <= 0 so we fall through to the next tag.
let tags = [
entry.date_time_original.as_ref(),
entry.sub_sec_date_time_original.as_ref(),
entry.create_date.as_ref(),
entry.media_create_date.as_ref(),
entry.track_create_date.as_ref(),
entry.content_create_date.as_ref(),
];
let mut chosen: Option<i64> = None;
for tag in tags.iter().flatten() {
if let Some(ts) = coerce_to_unix_seconds(tag)
&& ts > 0
{
chosen = Some(ts);
break;
}
}
if let Some(ts) = chosen {
out.push((entry.source_file, ts));
}
}
out
}
/// `-d %s` should hand us a numeric string, but exiftool's JSON encoder
/// will emit a number when the tag was defined as numeric in its lib —
/// accept both shapes.
fn coerce_to_unix_seconds(v: &serde_json::Value) -> Option<i64> {
match v {
serde_json::Value::String(s) => s.trim().parse::<i64>().ok(),
serde_json::Value::Number(n) => n.as_i64(),
_ => None,
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn parse_exiftool_json_picks_first_priority_tag() {
let json = br#"[{
"SourceFile": "/lib/IMG.jpg",
"DateTimeOriginal": "1500000000",
"CreateDate": "1400000000"
}]"#;
let parsed = parse_exiftool_json(json);
assert_eq!(parsed, vec![("/lib/IMG.jpg".to_string(), 1500000000)]);
}
#[test]
fn parse_exiftool_json_falls_through_zeros() {
// exiftool emits "0000:00:00 00:00:00" → unix epoch 0 with -d %s.
// The resolver should skip those and pick the next tag.
let json = br#"[{
"SourceFile": "/lib/clip.mov",
"DateTimeOriginal": "0",
"MediaCreateDate": "1500000000"
}]"#;
let parsed = parse_exiftool_json(json);
assert_eq!(parsed, vec![("/lib/clip.mov".to_string(), 1500000000)]);
}
#[test]
fn parse_exiftool_json_accepts_numeric_values() {
let json = br#"[{
"SourceFile": "/lib/a.jpg",
"CreateDate": 1234567890
}]"#;
let parsed = parse_exiftool_json(json);
assert_eq!(parsed, vec![("/lib/a.jpg".to_string(), 1234567890)]);
}
#[test]
fn parse_exiftool_json_emits_nothing_when_no_tag_present() {
let json = br#"[{"SourceFile": "/lib/no_dates.bin"}]"#;
let parsed = parse_exiftool_json(json);
assert!(parsed.is_empty());
}
#[test]
fn parse_exiftool_json_handles_multiple_entries() {
let json = br#"[
{"SourceFile": "/lib/a.jpg", "DateTimeOriginal": "100"},
{"SourceFile": "/lib/b.jpg", "CreateDate": "200"}
]"#;
let parsed = parse_exiftool_json(json);
assert_eq!(
parsed,
vec![
("/lib/a.jpg".to_string(), 100),
("/lib/b.jpg".to_string(), 200)
]
);
}
#[test]
fn date_source_as_str_round_trip() {
for src in [
DateSource::Exif,
DateSource::Exiftool,
DateSource::Filename,
DateSource::FsTime,
] {
assert!(!src.as_str().is_empty());
}
}
#[test]
fn resolve_uses_prior_exif_when_present() {
// Path doesn't need to exist when prior_exif_date short-circuits.
let resolved =
resolve_date_taken(Path::new("/nonexistent/file.jpg"), Some(1700000000)).unwrap();
assert_eq!(resolved.timestamp, 1700000000);
assert_eq!(resolved.source, DateSource::Exif);
}
#[test]
fn resolve_filename_when_no_exif_and_file_missing() {
// No prior EXIF, no exiftool match (file missing), but the filename
// pattern still matches so the resolver lands on Filename.
let resolved = resolve_date_taken(
Path::new("/nonexistent/Screenshot_2014-06-01-20-44-50.png"),
None,
)
.unwrap();
assert_eq!(resolved.source, DateSource::Filename);
}
#[test]
fn resolve_fs_time_when_only_metadata_available() {
let dir = tempfile::tempdir().unwrap();
let path = dir.path().join("plain.jpg");
std::fs::File::create(&path).unwrap();
let resolved = resolve_date_taken(&path, None).unwrap();
// exiftool may or may not be installed in the test env; either
// way the file has no EXIF and no filename date, so we should
// fall to fs_time.
assert_eq!(resolved.source, DateSource::FsTime);
}
}
+1368
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File diff suppressed because it is too large Load Diff
+48
View File
@@ -71,6 +71,53 @@ fn read_jpeg_at_ifd(exif: &exif::Exif, path: &Path, ifd: In) -> Option<Vec<u8>>
Some(buf)
}
/// Shell out to `exiftool -j -G -n <path>` and return the per-file tag map.
///
/// `-j` requests JSON; the response is always an array of one element per
/// input path. `-G` prefixes each key with the group name (`EXIF:Make`,
/// `MakerNotes:LensInfo`, `File:FileSize`, …) so a UI can group the dump.
/// `-n` returns numeric / raw values rather than exiftool's pretty-printed
/// human strings, which keeps the output stable for clients that want to
/// reformat (e.g. divide a focal-length numerator/denominator).
///
/// Returns:
/// - `Ok(Some(value))` — the parsed object for this file.
/// - `Ok(None)` — exiftool ran but the array was empty / not an object.
/// - `Err(_)` — exiftool isn't on PATH, the spawn failed, or its stderr
/// indicates an unsupported file. Caller surfaces a 503 / 422.
///
/// Used by `GET /image/exif/full` to power Apollo's DETAILS modal "FULL
/// EXIF" pane. Per-file shell-out is fine for this on-demand surface;
/// the indexer does NOT call this on the hot path (kamadak-exif covers
/// the indexed columns; exiftool is the slow-path preview helper).
pub fn read_full_exif_via_exiftool(path: &Path) -> Result<Option<serde_json::Value>> {
let output = Command::new("exiftool")
.arg("-j")
.arg("-G")
.arg("-n")
.arg(path)
.output()
.map_err(|e| anyhow!("exiftool spawn failed (is it on PATH?): {}", e))?;
if !output.status.success() {
let stderr = String::from_utf8_lossy(&output.stderr);
return Err(anyhow!(
"exiftool exited with {}: {}",
output.status,
stderr.trim()
));
}
let parsed: serde_json::Value = serde_json::from_slice(&output.stdout)
.map_err(|e| anyhow!("exiftool returned non-JSON output: {}", e))?;
// `-j` always wraps the result in an array — pull out the first object.
let arr = parsed
.as_array()
.ok_or_else(|| anyhow!("expected JSON array from exiftool -j"))?;
Ok(arr.first().cloned())
}
/// Tags exiftool exposes for embedded JPEG previews, in priority order. The
/// largest valid JPEG returned by any of them wins. Different camera makers
/// stash their largest preview under different names: Nikon's full-res
@@ -188,6 +235,7 @@ pub fn write_gps(path: &Path, lat: f64, lon: f64) -> Result<()> {
let lon_abs = lon.abs();
let output = Command::new("exiftool")
.arg("-overwrite_original")
.arg("-P")
.arg(format!("-GPSLatitude={}", lat_abs))
.arg(format!("-GPSLatitudeRef={}", lat_ref))
.arg(format!("-GPSLongitude={}", lon_abs))
+300 -458
View File
@@ -20,9 +20,10 @@
use crate::Claims;
use crate::ai::face_client::{DetectMeta, FaceClient, FaceDetectError};
use crate::exif;
use crate::database::schema::{face_detections, image_exif, persons};
use crate::error::IntoHttpError;
use crate::exif;
use crate::file_types;
use crate::libraries::{self, Library};
use crate::otel::{extract_context_from_request, global_tracer, trace_db_call};
use crate::state::AppState;
@@ -46,7 +47,7 @@ use std::sync::{Arc, Mutex};
/// Visual identity. The optional `entity_id` bridges this person to an
/// LLM-extracted knowledge-graph entity (textual side). Persons are NOT
/// auto-bridged at creation — only when the user explicitly links them in
/// the management UI, or when bootstrap finds an exact-name match.
/// the management UI.
#[derive(Serialize, Queryable, Clone, Debug)]
pub struct Person {
pub id: i32,
@@ -99,9 +100,30 @@ pub struct FaceDetectionRow {
pub created_at: i64,
}
/// SQL fragment restricting an `image_exif.rel_path` (or `face_detections.rel_path`)
/// column to image extensions. Videos register in `image_exif` with a
/// populated `content_hash` but can never produce a `face_detections` row
/// — applying this filter at query time keeps videos out of the per-tick
/// backlog drain (which would otherwise loop forever — `filter_excluded`
/// drops them client-side without writing a marker) and out of the SCANNED
/// stat denominator (so 100% is reachable).
fn image_path_predicate(col: &str) -> String {
let clauses: Vec<String> = file_types::IMAGE_EXTENSIONS
.iter()
.map(|ext| format!("lower({col}) LIKE '%.{ext}'"))
.collect();
format!("({})", clauses.join(" OR "))
}
/// Row shape for `list_unscanned_candidates`'s raw SQL. Diesel's
/// `sql_query` requires a `QueryableByName` row type with explicit
/// column SQL types; using a tuple isn't supported.
#[derive(diesel::QueryableByName, Debug)]
struct CountRow {
#[diesel(sql_type = diesel::sql_types::BigInt)]
count: i64,
}
#[derive(diesel::QueryableByName, Debug)]
struct UnscannedRow {
#[diesel(sql_type = diesel::sql_types::Text)]
@@ -344,6 +366,10 @@ pub struct EmbeddingsQuery {
pub limit: i64,
#[serde(default)]
pub offset: i64,
/// Restrict to one person's faces. Used by the similar-unassigned
/// suggester to fetch a centroid pool. When set, takes precedence
/// over `unassigned` (the more specific filter wins).
pub person_id: Option<i32>,
}
fn default_unassigned() -> bool {
@@ -407,6 +433,7 @@ pub trait FaceDao: Send + Sync {
ctx: &opentelemetry::Context,
library_id: Option<i32>,
unassigned: bool,
person_id: Option<i32>,
limit: i64,
offset: i64,
) -> anyhow::Result<Vec<(FaceDetectionRow, String)>>;
@@ -481,6 +508,10 @@ pub trait FaceDao: Send + Sync {
into: i32,
) -> anyhow::Result<Person>;
/// Cheap presence probe — returns true iff at least one face has been
/// detected (excluding marker rows). Used by chat-tool gating.
fn has_any_faces(&mut self, ctx: &opentelemetry::Context) -> anyhow::Result<bool>;
/// Resolve `(library_id, rel_path)` → `content_hash` via image_exif.
/// Returns None when the photo hasn't been EXIF-indexed yet (no row
/// in image_exif) or when the row exists but content_hash is NULL.
@@ -601,26 +632,32 @@ impl FaceDao for SqliteFaceDao {
// fire multiple detect calls for the same hash if it lives
// under several rel_paths in the same library. The
// anti-join (NOT EXISTS) drains hashes that have no row in
// face_detections at all.
let rows: Vec<(String, String)> = diesel::sql_query(
// face_detections at all. The image-extension predicate
// keeps videos out of the candidate set; without it they'd
// be filtered client-side and re-pulled every tick forever
// because no marker row is written for excluded paths.
let ext_predicate = image_path_predicate("rel_path");
let sql = format!(
"SELECT rel_path, content_hash \
FROM image_exif e \
WHERE library_id = ? \
AND content_hash IS NOT NULL \
AND {ext_predicate} \
AND NOT EXISTS ( \
SELECT 1 FROM face_detections f \
WHERE f.content_hash = e.content_hash \
) \
GROUP BY content_hash \
LIMIT ?",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::BigInt, _>(limit)
.load::<UnscannedRow>(conn.deref_mut())
.with_context(|| "list_unscanned_candidates")?
.into_iter()
.map(|r| (r.rel_path, r.content_hash))
.collect();
LIMIT ?"
);
let rows: Vec<(String, String)> = diesel::sql_query(sql)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::BigInt, _>(limit)
.load::<UnscannedRow>(conn.deref_mut())
.with_context(|| "list_unscanned_candidates")?
.into_iter()
.map(|r| (r.rel_path, r.content_hash))
.collect();
Ok(rows)
})
}
@@ -831,6 +868,7 @@ impl FaceDao for SqliteFaceDao {
ctx: &opentelemetry::Context,
library_id: Option<i32>,
unassigned: bool,
person_id: Option<i32>,
limit: i64,
offset: i64,
) -> anyhow::Result<Vec<(FaceDetectionRow, String)>> {
@@ -844,7 +882,13 @@ impl FaceDao for SqliteFaceDao {
if let Some(lib) = library_id {
query = query.filter(face_detections::library_id.eq(lib));
}
if unassigned {
// person_id is the more specific filter — when both it and
// `unassigned` are supplied, prefer the explicit person id and
// ignore the IS NULL constraint (which would always return
// empty for an assigned person).
if let Some(pid) = person_id {
query = query.filter(face_detections::person_id.eq(pid));
} else if unassigned {
query = query.filter(face_detections::person_id.is_null());
}
let rows = query
@@ -856,14 +900,18 @@ impl FaceDao for SqliteFaceDao {
// Pair with the base64-encoded embedding string so the handler
// doesn't need to know the wire format. Skip rows with NULL
// embedding (shouldn't happen on detected rows, but defensive).
// `embedding.take()` moves the bytes out of the row so we can
// hand the (now-empty-embedding) row plus the encoded string
// back to the caller without cloning the whole row — at 20k
// rows × 2 KB that clone was 40 MB of pointless heap traffic
// per cluster-suggest run.
use base64::Engine;
Ok(rows
.into_iter()
.filter_map(|r| {
r.embedding.as_ref().map(|bytes| {
let b64 = base64::engine::general_purpose::STANDARD.encode(bytes);
(r.clone(), b64)
})
.filter_map(|mut r| {
let bytes = r.embedding.take()?;
let b64 = base64::engine::general_purpose::STANDARD.encode(&bytes);
Some((r, b64))
})
.collect())
})
@@ -1013,14 +1061,42 @@ impl FaceDao for SqliteFaceDao {
.first(conn.deref_mut())
.with_context(|| "stats: failed")?
};
// Image-extension filter mirrors `list_unscanned_candidates` so
// SCANNED can actually reach 100%: videos sit in `image_exif` but
// never get a `face_detections` row, so counting them here
// permanently caps the percentage below 100%.
//
// Count DISTINCT content_hash (not rows) so the numerator
// (`scanned`, also distinct-content_hash) and denominator live
// in the same domain. Without this, a file present at multiple
// rel_paths or across libraries inflates total_photos by one
// per duplicate row while face_detections — keyed on
// content_hash — counts the bytes once, leaving a permanent
// gap (e.g. 1101/1103 with nothing actually pending). Rows
// with NULL content_hash are excluded; they're held in the
// hash-backfill backlog and counting them would pin the bar
// below 100% for the duration of that backfill.
let total_photos: i64 = {
let mut q = image_exif::table.into_boxed();
if let Some(lib) = library_id {
q = q.filter(image_exif::library_id.eq(lib));
}
q.select(diesel::dsl::count_star())
.first(conn.deref_mut())
.with_context(|| "stats: total_photos")?
let ext_predicate = image_path_predicate("rel_path");
let row: CountRow = if let Some(lib) = library_id {
let sql = format!(
"SELECT COUNT(DISTINCT content_hash) AS count FROM image_exif \
WHERE library_id = ? AND content_hash IS NOT NULL AND {ext_predicate}"
);
diesel::sql_query(sql)
.bind::<diesel::sql_types::Integer, _>(lib)
.get_result(conn.deref_mut())
.with_context(|| "stats: total_photos")?
} else {
let sql = format!(
"SELECT COUNT(DISTINCT content_hash) AS count FROM image_exif \
WHERE content_hash IS NOT NULL AND {ext_predicate}"
);
diesel::sql_query(sql)
.get_result(conn.deref_mut())
.with_context(|| "stats: total_photos")?
};
row.count
};
let persons_count: i64 = persons::table
.select(diesel::dsl::count_star())
@@ -1372,6 +1448,19 @@ impl FaceDao for SqliteFaceDao {
})
}
fn has_any_faces(&mut self, ctx: &opentelemetry::Context) -> anyhow::Result<bool> {
let mut conn = self.connection.lock().expect("face dao lock");
trace_db_call(ctx, "query", "has_any_faces", |_span| {
face_detections::table
.filter(face_detections::status.eq("detected"))
.select(face_detections::id)
.first::<i32>(conn.deref_mut())
.optional()
.map(|x| x.is_some())
.with_context(|| "has_any_faces query")
})
}
fn resolve_content_hash(
&mut self,
ctx: &opentelemetry::Context,
@@ -1599,18 +1688,10 @@ where
.route(web::get().to(list_persons_handler::<D>))
.route(web::post().to(create_person_handler::<D>)),
)
.service(
web::resource("/persons/bootstrap")
.route(web::post().to(bootstrap_persons_handler::<D>)),
)
.service(
web::resource("/persons/ignore-bucket")
.route(web::post().to(ignore_bucket_handler::<D>)),
)
.service(
web::resource("/tags/people-bootstrap-candidates")
.route(web::get().to(bootstrap_candidates_handler::<D>)),
)
.service(
web::resource("/persons/{id}")
.route(web::get().to(get_person_handler::<D>))
@@ -1625,340 +1706,6 @@ where
)
}
// ── Bootstrap (Phase 4) ─────────────────────────────────────────────────────
#[derive(Serialize, Debug, Clone)]
pub struct BootstrapCandidate {
/// Display name — most-frequent capitalization across the case-insensitive
/// group, or simply the first one seen if it's a tie.
pub name: String,
/// Lowercased name; the stable key for grouping and the auto-bind path.
pub normalized_name: String,
/// Sum of `tagged_photo` counts across all capitalizations of this name.
pub usage_count: i64,
/// Heuristic suggestion; the UI defaults this to checked but the user
/// confirms before [`bootstrap_persons_handler`] actually creates rows.
pub looks_like_person: bool,
/// True when a `persons` row already exists for this name (any case).
/// The UI hides these — re-running bootstrap is idempotent so it's fine
/// either way, but the noise isn't worth showing.
pub already_exists: bool,
}
#[derive(Serialize, Debug)]
pub struct BootstrapCandidatesResponse {
pub candidates: Vec<BootstrapCandidate>,
}
#[derive(Deserialize, Debug)]
pub struct BootstrapPersonsReq {
pub names: Vec<String>,
}
#[derive(Serialize, Debug)]
pub struct BootstrapPersonsResponse {
pub created: Vec<Person>,
pub skipped: Vec<BootstrapSkipped>,
}
#[derive(Serialize, Debug)]
pub struct BootstrapSkipped {
pub name: String,
pub reason: String,
}
/// Hard filter for the bootstrap candidate list. Returns true if the tag
/// could plausibly be a person name; returns false to drop it from the
/// candidates entirely (not just leave looks_like_person=false).
///
/// Rules — all required:
/// - At least 3 characters after trimming. Two-letter tags ("AB", "OK")
/// are almost always abbreviations or markers, not names.
/// - No emoji or symbol-class characters. SQL-side string sort already
/// surfaces those at the top of the tag list; filtering them keeps
/// the candidate UI focused on names rather than chart-junk.
/// - No control characters or null bytes.
pub(crate) fn is_plausible_name_token(raw: &str) -> bool {
let trimmed = raw.trim();
if trimmed.chars().count() < 3 {
return false;
}
for c in trimmed.chars() {
// Letter / mark / decimal-digit / connector-punctuation /
// dash / apostrophe / period / whitespace are all plausible in a
// name. Anything else (emoji, symbols, math operators, arrows,
// box drawing, control codes) disqualifies the whole tag.
if c.is_alphabetic()
|| c.is_whitespace()
|| matches!(c, '\'' | '-' | '.' | '_' | '\u{2019}')
{
continue;
}
if c.is_ascii_digit() {
// Digits don't disqualify here — `looks_like_person` rejects
// them later, but `is_plausible_name_token` is just about
// "could this be in the candidate list at all?". A tag like
// "Sarah2" stays as a candidate (display-flagged not-a-person
// by looks_like_person) so the operator can still spot and
// confirm it manually if it's an alias.
continue;
}
return false;
}
true
}
/// Conservative "this tag *might* be a person name" heuristic. False
/// negatives are fine — the operator confirms in the UI before any row
/// is created. False positives are also fine for the same reason; the
/// goal is just to default sensible candidates to checked.
///
/// Rules:
/// - 12 whitespace-separated words
/// - Each word starts with an uppercase character
/// - No digits anywhere (rejects "Trip 2018", "2024", etc.)
/// - Single-word names not on a small denylist of common non-person
/// tags (cat, christmas, beach, ...). Two-word names skip the
/// denylist because a real two-word person name is the dominant
/// case ("Sarah Smith") and false-blocking it is worse than false-
/// accepting "Sunset Walk".
pub(crate) fn looks_like_person(raw: &str) -> bool {
let trimmed = raw.trim();
if trimmed.is_empty() {
return false;
}
let words: Vec<&str> = trimmed.split_whitespace().collect();
if !(1..=2).contains(&words.len()) {
return false;
}
for w in &words {
let Some(first) = w.chars().next() else {
return false;
};
if !first.is_uppercase() {
return false;
}
if w.chars().any(|c| c.is_ascii_digit()) {
return false;
}
}
if words.len() == 1 {
const DENY: &[&str] = &[
// Pets / animals
"cat",
"dog",
"kitten",
"puppy",
"bird",
"fish",
"pet",
"pets",
// Events / occasions
"birthday",
"christmas",
"halloween",
"easter",
"thanksgiving",
"wedding",
"anniversary",
"vacation",
"holiday",
"party",
"trip",
"graduation",
"concert",
// Places (generic)
"home",
"work",
"beach",
"park",
"hotel",
"restaurant",
"office",
"house",
"garden",
// Subjects / styles
"food",
"sunset",
"sunrise",
"landscape",
"portrait",
"selfie",
"nature",
"flowers",
"flower",
"snow",
"rain",
"sky",
// Buckets
"untagged",
"favorites",
"favourites",
"misc",
"other",
"random",
];
let lower = trimmed.to_lowercase();
if DENY.iter().any(|w| *w == lower) {
return false;
}
}
true
}
async fn bootstrap_candidates_handler<D: FaceDao>(
_: Claims,
request: HttpRequest,
face_dao: web::Data<Mutex<D>>,
tag_dao: web::Data<Mutex<crate::tags::SqliteTagDao>>,
) -> impl Responder {
use std::collections::HashMap;
let context = extract_context_from_request(&request);
let span = global_tracer().start_with_context("faces.bootstrap_candidates", &context);
let span_context = opentelemetry::Context::current_with_span(span);
// All tags + their counts. Path filter unused — bootstrap is library-wide.
let tags_with_counts = {
let mut td = tag_dao.lock().expect("tag dao lock");
match crate::tags::TagDao::get_all_tags(&mut *td, &span_context, None) {
Ok(t) => t,
Err(e) => return HttpResponse::InternalServerError().body(format!("{:#}", e)),
}
};
// Group by lowercase name. Pick the most-frequent capitalization
// for the display name (ties broken by first-seen). Filter out
// short tags and tags carrying non-name characters (emojis, symbols)
// before grouping — they're noise no operator would tick, so showing
// them just makes the candidate list harder to scan.
struct Group {
display: String,
display_freq: i64,
total_count: i64,
}
let mut groups: HashMap<String, Group> = HashMap::new();
for (count, tag) in tags_with_counts {
if !is_plausible_name_token(&tag.name) {
continue;
}
let lower = tag.name.to_lowercase();
let g = groups.entry(lower).or_insert_with(|| Group {
display: tag.name.clone(),
display_freq: 0,
total_count: 0,
});
g.total_count += count;
if count > g.display_freq {
g.display = tag.name.clone();
g.display_freq = count;
}
}
// Cross-reference against existing persons (bulk one-query lookup).
let lower_names: Vec<String> = groups.keys().cloned().collect();
let existing = {
let mut fd = face_dao.lock().expect("face dao lock");
match fd.find_persons_by_names_ci(&span_context, &lower_names) {
Ok(m) => m,
Err(e) => return HttpResponse::InternalServerError().body(format!("{:#}", e)),
}
};
let mut candidates: Vec<BootstrapCandidate> = groups
.into_iter()
.map(|(lower, g)| BootstrapCandidate {
looks_like_person: looks_like_person(&g.display),
already_exists: existing.contains_key(&lower),
name: g.display,
normalized_name: lower,
usage_count: g.total_count,
})
.collect();
// Sort: persons-first heuristic by descending count, then alphabetical.
// Persons-likely candidates surface near the top so the user doesn't
// scroll past dozens of "vacation"-style tags to find them.
candidates.sort_by(|a, b| {
b.looks_like_person
.cmp(&a.looks_like_person)
.then(b.usage_count.cmp(&a.usage_count))
.then(a.normalized_name.cmp(&b.normalized_name))
});
HttpResponse::Ok().json(BootstrapCandidatesResponse { candidates })
}
async fn bootstrap_persons_handler<D: FaceDao>(
_: Claims,
request: HttpRequest,
body: web::Json<BootstrapPersonsReq>,
face_dao: web::Data<Mutex<D>>,
) -> impl Responder {
let context = extract_context_from_request(&request);
let span = global_tracer().start_with_context("faces.bootstrap_persons", &context);
let span_context = opentelemetry::Context::current_with_span(span);
let mut created: Vec<Person> = Vec::new();
let mut skipped: Vec<BootstrapSkipped> = Vec::new();
let mut dao = face_dao.lock().expect("face dao lock");
// Pre-fetch the existing-name set so a duplicate request reports
// "already exists" (skipped) rather than firing N inserts that all
// 409 against the UNIQUE COLLATE NOCASE constraint.
let lower_names: Vec<String> = body.names.iter().map(|n| n.to_lowercase()).collect();
let existing = match dao.find_persons_by_names_ci(&span_context, &lower_names) {
Ok(m) => m,
Err(e) => return HttpResponse::InternalServerError().body(format!("{:#}", e)),
};
for name in &body.names {
let trimmed = name.trim();
if trimmed.is_empty() {
skipped.push(BootstrapSkipped {
name: name.clone(),
reason: "empty name".into(),
});
continue;
}
let lower = trimmed.to_lowercase();
if existing.contains_key(&lower) {
skipped.push(BootstrapSkipped {
name: trimmed.to_string(),
reason: "person already exists".into(),
});
continue;
}
match dao.create_person(
&span_context,
&CreatePersonReq {
name: trimmed.to_string(),
notes: None,
entity_id: None,
is_ignored: false,
},
/*from_tag*/ true,
) {
Ok(p) => created.push(p),
Err(e) => {
if is_unique_violation(&e) {
// Race with a concurrent create; treat as skipped.
skipped.push(BootstrapSkipped {
name: trimmed.to_string(),
reason: "person already exists".into(),
});
} else {
skipped.push(BootstrapSkipped {
name: trimmed.to_string(),
reason: format!("{:#}", e),
});
}
}
}
}
HttpResponse::Ok().json(BootstrapPersonsResponse { created, skipped })
}
// ── Stats / list ────────────────────────────────────────────────────────────
#[derive(Deserialize)]
@@ -2055,6 +1802,7 @@ async fn embeddings_handler<D: FaceDao>(
&span_context,
query.library,
query.unassigned,
query.person_id,
limit,
offset,
)
@@ -2255,6 +2003,12 @@ async fn update_face_handler<D: FaceDao>(
let mut new_embedding: Option<Vec<u8>> = None;
if let Some((bx, by, bw, bh)) = bbox_patch {
if !face_client.is_enabled() {
warn!(
"PATCH /image/faces/{}: 503 — face client not enabled \
(APOLLO_FACE_API_BASE_URL / APOLLO_API_BASE_URL both unset). \
Bbox edit requires Apollo to re-embed.",
id
);
return HttpResponse::ServiceUnavailable()
.body("face client disabled — bbox edit requires Apollo");
}
@@ -2264,12 +2018,19 @@ async fn update_face_handler<D: FaceDao>(
match dao.get_face(&span_context, id) {
Ok(Some(r)) => r,
Ok(None) => return HttpResponse::NotFound().finish(),
Err(e) => return HttpResponse::InternalServerError().body(e.to_string()),
Err(e) => {
warn!("PATCH /image/faces/{}: 500 — get_face failed: {:#}", id, e);
return HttpResponse::InternalServerError().body(e.to_string());
}
}
};
let library = match app_state.library_by_id(current.library_id) {
Some(l) => l.clone(),
None => {
warn!(
"PATCH /image/faces/{}: 500 — face row references unknown library_id {}",
id, current.library_id
);
return HttpResponse::InternalServerError().body(format!(
"face row references unknown library_id {}",
current.library_id
@@ -2284,8 +2045,7 @@ async fn update_face_handler<D: FaceDao>(
"PATCH /image/faces/{}: crop failed for {:?}: {:?}",
id, abs_path, e
);
return HttpResponse::BadRequest()
.body(format!("cannot crop new bbox: {}", e));
return HttpResponse::BadRequest().body(format!("cannot crop new bbox: {}", e));
}
};
let meta = DetectMeta {
@@ -2332,11 +2092,20 @@ async fn update_face_handler<D: FaceDao>(
);
}
Err(FaceDetectError::Transient(e)) => {
warn!(
"PATCH /image/faces/{}: 503 — Apollo face client transient \
error during re-embed: {}",
id, e
);
return HttpResponse::ServiceUnavailable().body(format!("{}", e));
}
Err(FaceDetectError::Disabled) => {
return HttpResponse::ServiceUnavailable()
.body("face client disabled mid-flight");
warn!(
"PATCH /image/faces/{}: 503 — face client became disabled \
mid-flight",
id
);
return HttpResponse::ServiceUnavailable().body("face client disabled mid-flight");
}
}
}
@@ -2344,7 +2113,14 @@ async fn update_face_handler<D: FaceDao>(
let mut dao = face_dao.lock().expect("face dao lock");
let row = match dao.update_face(&span_context, id, person_patch, bbox_patch, new_embedding) {
Ok(r) => r,
Err(e) => return HttpResponse::InternalServerError().body(e.to_string()),
Err(e) => {
// The full anyhow chain (`{:#}`) shows the diesel cause behind
// the short context string we surface in the response body —
// SQLITE_BUSY here usually means another DAO's writer held the
// lock past `busy_timeout` (5s), which is invisible in `{}`.
warn!("PATCH /image/faces/{}: 500 — update_face failed: {:#}", id, e);
return HttpResponse::InternalServerError().body(e.to_string());
}
};
// Hydrate person_name so the response shape matches GET /image/faces
// — the carousel overlay does an optimistic replace on this row, and
@@ -2352,7 +2128,13 @@ async fn update_face_handler<D: FaceDao>(
// VFD label off the bbox even though the assignment didn't change.
match hydrate_face_with_person(&mut *dao, &span_context, row) {
Ok(joined) => HttpResponse::Ok().json(joined),
Err(e) => HttpResponse::InternalServerError().body(e.to_string()),
Err(e) => {
warn!(
"PATCH /image/faces/{}: 500 — hydrate_face_with_person failed: {:#}",
id, e
);
HttpResponse::InternalServerError().body(e.to_string())
}
}
}
@@ -2705,77 +2487,7 @@ mod tests {
);
}
// ── Phase 4: bootstrap heuristic + cosine + DAO support ─────────────
#[test]
fn is_plausible_name_token_filters_short_and_emoji() {
// Hard filter applied before grouping — emojis and tags shorter
// than 3 chars never make it into the candidate list, regardless
// of looks_like_person's later assessment.
assert!(is_plausible_name_token("Cameron"));
assert!(is_plausible_name_token("Sarah Smith"));
assert!(is_plausible_name_token("O'Brien"));
assert!(is_plausible_name_token("Jean-Luc"));
assert!(is_plausible_name_token("St. James"));
assert!(is_plausible_name_token("Renée"));
assert!(is_plausible_name_token("José"));
// Asian script names — the alphabetic/letter check covers any
// script, not just Latin.
assert!(is_plausible_name_token("田中太郎"));
// Below the 3-character floor.
assert!(!is_plausible_name_token(""));
assert!(!is_plausible_name_token(" "));
assert!(!is_plausible_name_token("Bo"));
assert!(!is_plausible_name_token("AB"));
// Trim before counting — surrounding whitespace doesn't count.
assert!(!is_plausible_name_token(" AB "));
// Emoji / symbol classes get the whole tag dropped.
assert!(!is_plausible_name_token("🐱cat"));
assert!(!is_plausible_name_token("Heart ❤"));
assert!(!is_plausible_name_token("📸Photo"));
assert!(!is_plausible_name_token("→ Trip"));
assert!(!is_plausible_name_token("★Vacation"));
// Digits are kept (handled by looks_like_person, not here).
assert!(is_plausible_name_token("Trip 2018"));
assert!(is_plausible_name_token("2024"));
}
#[test]
fn looks_like_person_accepts_typical_names() {
assert!(looks_like_person("Cameron"));
assert!(looks_like_person("Sarah Smith"));
assert!(looks_like_person("Mary Jane"));
// Non-ASCII title-cased single word still counts.
assert!(looks_like_person("Renée"));
}
#[test]
fn looks_like_person_rejects_obvious_non_people() {
// Digits, lowercase, three-or-more words, denylist hits.
assert!(!looks_like_person("2018"));
assert!(!looks_like_person("Trip 2018"));
assert!(!looks_like_person("trip"));
assert!(!looks_like_person("Birthday Party Cake"));
assert!(!looks_like_person("cat"));
assert!(!looks_like_person("Cat")); // denied even when title-cased
assert!(!looks_like_person("Christmas"));
assert!(!looks_like_person("home"));
assert!(!looks_like_person(""));
assert!(!looks_like_person(" "));
}
#[test]
fn looks_like_person_two_words_skips_denylist() {
// Two-word names get a pass on the single-word denylist —
// "Sunset Walk" is much more likely a real album than a person,
// but false-accepting is fine because the operator confirms.
// What matters is we don't false-reject "Sarah Smith".
assert!(looks_like_person("Sunset Walk"));
assert!(looks_like_person("Sarah Smith"));
}
// ── Phase 4: cosine + DAO support ───────────────────────────────────
#[test]
fn cosine_similarity_known_vectors() {
@@ -3145,6 +2857,39 @@ mod tests {
assert_eq!(stats.with_faces, 0);
}
#[test]
fn stats_total_photos_excludes_videos() {
// SCANNED counts content_hashes in face_detections; total_photos
// must apply the same image-extension filter as the watcher
// backlog query so the percentage can reach 100%. Without this,
// videos sit in image_exif but never produce a face_detections
// row (Apollo decodes images only) and the bar caps below 100%.
let mut dao = fresh_dao();
diesel::sql_query(
"INSERT OR IGNORE INTO libraries (id, name, root_path, created_at) \
VALUES (1, 'main', '/tmp', 0)",
)
.execute(dao.connection.lock().unwrap().deref_mut())
.expect("seed libraries");
diesel::sql_query(
"INSERT INTO image_exif \
(library_id, rel_path, content_hash, created_time, last_modified) VALUES \
(1, 'a.jpg', 'h-a', 0, 0), \
(1, 'b.JPEG', 'h-b', 0, 0), \
(1, 'movie.mp4', 'h-mp4', 0, 0), \
(1, 'clip.MOV', 'h-mov', 0, 0)",
)
.execute(dao.connection.lock().unwrap().deref_mut())
.expect("seed image_exif");
let stats = dao.stats(&ctx(), Some(1)).expect("stats");
assert_eq!(
stats.total_photos, 2,
"videos should not count toward total"
);
}
#[test]
fn merge_persons_repoints_faces() {
let mut dao = fresh_dao();
@@ -3215,6 +2960,87 @@ mod tests {
assert_eq!(faces[0].person_id, Some(alice.id));
}
#[test]
fn list_embeddings_filters_by_person_id() {
// Apollo's similar-unassigned suggester relies on this filter to
// pull a single person's embeddings without paging the whole
// detected set client-side. When person_id is set it must win
// over `unassigned=true` (otherwise the IS NULL constraint would
// always return an empty set for an assigned person).
let mut dao = fresh_dao();
diesel::sql_query(
"INSERT OR IGNORE INTO libraries (id, name, root_path, created_at) \
VALUES (1, 'main', '/tmp', 0)",
)
.execute(dao.connection.lock().unwrap().deref_mut())
.expect("seed libraries");
let alice = dao
.create_person(
&ctx(),
&CreatePersonReq {
name: "Alice".into(),
notes: None,
entity_id: None,
is_ignored: false,
},
false,
)
.unwrap();
let bob = dao
.create_person(
&ctx(),
&CreatePersonReq {
name: "Bob".into(),
notes: None,
entity_id: None,
is_ignored: false,
},
false,
)
.unwrap();
let mk_row = |hash: &str, person: Option<i32>| InsertFaceDetectionInput {
library_id: 1,
content_hash: hash.into(),
rel_path: format!("{hash}.jpg"),
bbox: Some((0.1, 0.1, 0.2, 0.2)),
embedding: Some(vec![0u8; 2048]),
confidence: Some(0.9),
source: "auto".into(),
person_id: person,
status: "detected".into(),
model_version: "buffalo_l".into(),
};
dao.store_detection(&ctx(), mk_row("a1", Some(alice.id)))
.unwrap();
dao.store_detection(&ctx(), mk_row("a2", Some(alice.id)))
.unwrap();
dao.store_detection(&ctx(), mk_row("b1", Some(bob.id)))
.unwrap();
dao.store_detection(&ctx(), mk_row("u1", None)).unwrap();
// person_id=alice returns only alice's two faces — ignoring the
// (default-true) `unassigned` filter, which would have selected
// u1 only.
let alice_rows = dao
.list_embeddings(&ctx(), None, true, Some(alice.id), 100, 0)
.unwrap();
assert_eq!(alice_rows.len(), 2);
assert!(
alice_rows
.iter()
.all(|(r, _)| r.person_id == Some(alice.id))
);
// unassigned=true with no person_id behaves as before.
let unassigned_rows = dao
.list_embeddings(&ctx(), None, true, None, 100, 0)
.unwrap();
assert_eq!(unassigned_rows.len(), 1);
assert_eq!(unassigned_rows[0].0.content_hash, "u1");
}
// ── crop_image_to_bbox ──────────────────────────────────────────────
// Pure helper used by the manual face-create handler. Generate a tiny
// image in memory, write it to a temp file, then exercise the bbox
@@ -3325,8 +3151,7 @@ mod tests {
)
.unwrap();
let row = seed_library_and_face(&mut dao, Some(p.id));
let joined =
hydrate_face_with_person(&mut dao, &ctx(), row).expect("hydrate assigned");
let joined = hydrate_face_with_person(&mut dao, &ctx(), row).expect("hydrate assigned");
assert_eq!(joined.person_id, Some(p.id));
assert_eq!(joined.person_name.as_deref(), Some("Alice"));
// Bbox + confidence + source must round-trip — these are what
@@ -3345,8 +3170,7 @@ mod tests {
// previously-assigned row's serialization.
let mut dao = fresh_dao();
let row = seed_library_and_face(&mut dao, None);
let joined =
hydrate_face_with_person(&mut dao, &ctx(), row).expect("hydrate unassigned");
let joined = hydrate_face_with_person(&mut dao, &ctx(), row).expect("hydrate unassigned");
assert!(joined.person_id.is_none());
assert!(joined.person_name.is_none());
}
@@ -3367,7 +3191,12 @@ mod tests {
.execute(dao.connection.lock().unwrap().deref_mut())
.expect("seed libraries");
// Seed image_exif: mix of hashed/unhashed/scanned/cross-library.
// Seed image_exif: mix of hashed/unhashed/scanned/cross-library,
// plus a video and a mixed-case image extension. Videos register
// in image_exif but can never produce a face_detections row, so
// the SQL must filter them out — otherwise the per-tick backlog
// drain re-pulls them every tick (no marker is ever written, so
// they loop forever) and the SCANNED stat is permanently capped.
diesel::sql_query(
"INSERT INTO image_exif \
(library_id, rel_path, content_hash, created_time, last_modified) VALUES \
@@ -3375,6 +3204,9 @@ mod tests {
(1, 'b.jpg', 'h-b', 0, 0), \
(1, 'c.jpg', NULL, 0, 0), \
(1, 'd.jpg', 'h-d', 0, 0), \
(1, 'movie.mp4', 'h-mp4', 0, 0), \
(1, 'clip.MOV', 'h-mov', 0, 0), \
(1, 'photo.JPG', 'h-jpg-upper', 0, 0), \
(2, 'e.jpg', 'h-e', 0, 0)",
)
.execute(dao.connection.lock().unwrap().deref_mut())
@@ -3388,16 +3220,26 @@ mod tests {
.list_unscanned_candidates(&ctx(), 1, 10)
.expect("list unscanned");
let hashes: std::collections::HashSet<_> =
cands.iter().map(|(_, h)| h.clone()).collect();
let hashes: std::collections::HashSet<_> = cands.iter().map(|(_, h)| h.clone()).collect();
// Should contain a and d (hashed, unscanned, library 1).
// Should contain a, d, and the upper-case .JPG (image-extension
// match is case-insensitive).
assert!(hashes.contains("h-a"), "missing h-a: {:?}", hashes);
assert!(hashes.contains("h-d"), "missing h-d: {:?}", hashes);
// Should NOT contain b (scanned), c (no hash), e (other library).
assert!(
hashes.contains("h-jpg-upper"),
"missing h-jpg-upper: {:?}",
hashes
);
// Should NOT contain b (scanned), c (no hash), e (other library),
// or videos (mp4/mov are not image extensions).
assert!(!hashes.contains("h-b"), "expected h-b filtered (scanned)");
assert!(!hashes.contains("h-e"), "expected h-e filtered (other library)");
assert_eq!(cands.len(), 2, "unexpected candidates: {:?}", cands);
assert!(
!hashes.contains("h-e"),
"expected h-e filtered (other library)"
);
assert!(!hashes.contains("h-mp4"), "expected h-mp4 filtered (video)");
assert!(!hashes.contains("h-mov"), "expected h-mov filtered (video)");
assert_eq!(cands.len(), 3, "unexpected candidates: {:?}", cands);
}
}
+10 -22
View File
@@ -123,11 +123,7 @@ mod tests {
"vacation/@eaDir/IMG_0001.jpg/SYNOFILE_THUMB_XL.jpg",
"@eaDir/top_level_thumb.jpg",
]);
let found = enumerate_indexable_files(
dir.path(),
&["@eaDir".to_string()],
None,
);
let found = enumerate_indexable_files(dir.path(), &["@eaDir".to_string()], None);
assert_eq!(rel_paths(&found), vec!["vacation/IMG_0001.jpg".to_string()]);
}
@@ -139,11 +135,7 @@ mod tests {
"a/.thumbnails/cached.jpg",
"a/b/.thumbnails/nested.jpg",
]);
let found = enumerate_indexable_files(
dir.path(),
&[".thumbnails".to_string()],
None,
);
let found = enumerate_indexable_files(dir.path(), &[".thumbnails".to_string()], None);
assert_eq!(rel_paths(&found), vec!["a/b/photo.jpg".to_string()]);
}
@@ -151,15 +143,8 @@ mod tests {
fn excludes_absolute_under_base() {
// Leading-'/' entries are interpreted as paths under the library
// root (see PathExcluder::new).
let dir = make_tree(&[
"private/secret.jpg",
"public/keep.jpg",
]);
let found = enumerate_indexable_files(
dir.path(),
&["/private".to_string()],
None,
);
let dir = make_tree(&["private/secret.jpg", "public/keep.jpg"]);
let found = enumerate_indexable_files(dir.path(), &["/private".to_string()], None);
assert_eq!(rel_paths(&found), vec!["public/keep.jpg".to_string()]);
}
@@ -169,11 +154,14 @@ mod tests {
"a.jpg",
"b.mp4",
"c.txt",
"d", // no extension
"e.jpg.bak", // wrong ext
"d", // no extension
"e.jpg.bak", // wrong ext
]);
let found = enumerate_indexable_files(dir.path(), &[], None);
assert_eq!(rel_paths(&found), vec!["a.jpg".to_string(), "b.mp4".to_string()]);
assert_eq!(
rel_paths(&found),
vec!["a.jpg".to_string(), "b.mp4".to_string()]
);
}
#[test]
+246 -13
View File
@@ -10,6 +10,7 @@ use std::path::{Path, PathBuf};
use std::sync::Mutex;
use std::time::SystemTime;
use crate::AppState;
use crate::data::{
Claims, ExifBatchRequest, ExifBatchResponse, ExifSummary, FilesRequest, FilterMode, MediaType,
PhotosResponse, SortType,
@@ -18,8 +19,8 @@ use crate::database::ExifDao;
use crate::file_types;
use crate::geo::{gps_bounding_box, haversine_distance};
use crate::memories::extract_date_from_filename;
use crate::thumbnails::create_thumbnails;
use crate::utils::earliest_fs_time;
use crate::{AppState, create_thumbnails};
use actix_web::web::Data;
use actix_web::{
HttpRequest, HttpResponse,
@@ -110,11 +111,18 @@ fn in_memory_date_sort(
let total_count = files.len() as i64;
let file_paths: Vec<String> = files.iter().map(|f| f.file_name.clone()).collect();
// Batch fetch EXIF data (keyed by rel_path; in union mode a rel_path may
// correspond to rows in multiple libraries — pick the date from the one
// matching the requesting row's library_id when possible).
// Batch fetch EXIF data. When every file in this batch belongs to the
// same library, scope the SQL filter to that library so cross-library
// duplicates with the same rel_path don't get fetched and discarded.
// In genuine union mode (mixed libraries) keep the rel-path-only
// lookup; the caller's `(file_path, library_id)` map below picks the
// right row.
let scope_library = match file_libraries.first() {
Some(&first) if file_libraries.iter().all(|&id| id == first) => Some(first),
_ => None,
};
let exif_rows = exif_dao
.get_exif_batch(span_context, &file_paths)
.get_exif_batch(span_context, scope_library, &file_paths)
.unwrap_or_default();
let exif_map: std::collections::HashMap<(String, i32), i64> = exif_rows
.into_iter()
@@ -309,11 +317,15 @@ pub async fn list_photos<TagD: TagDao, FS: FileSystemAccess>(
None
};
// Query EXIF database
// Query EXIF database. When the request named a library, the EXIF
// filter must be scoped to it — otherwise camera/date/GPS hits
// from other libraries would pollute the result set even though
// downstream filesystem walks would never visit those files.
let mut exif_dao_guard = exif_dao.lock().expect("Unable to get ExifDao");
let exif_results = exif_dao_guard
.query_by_exif(
&span_context,
library.map(|l| l.id),
req.camera_make.as_deref(),
req.camera_model.as_deref(),
req.lens_model.as_deref(),
@@ -572,9 +584,10 @@ pub async fn list_photos<TagD: TagDao, FS: FileSystemAccess>(
} else {
Some(trimmed)
};
let include_duplicates = req.include_duplicates.unwrap_or(false);
let rows = {
let mut dao = exif_dao.lock().expect("Unable to get ExifDao");
dao.list_rel_paths_for_libraries(&span_context, &lib_ids, prefix)
dao.list_rel_paths_for_libraries(&span_context, &lib_ids, prefix, include_duplicates)
.unwrap_or_else(|e| {
warn!("list_rel_paths_for_libraries failed: {:?}", e);
Vec::new()
@@ -1242,15 +1255,19 @@ pub async fn list_exif_summary(
.collect();
let mut exif_dao_guard = exif_dao.lock().expect("Unable to get ExifDao");
match exif_dao_guard.query_by_exif(&cx, None, None, None, None, req.date_from, req.date_to) {
match exif_dao_guard.query_by_exif(
&cx,
library_filter,
None,
None,
None,
None,
req.date_from,
req.date_to,
) {
Ok(rows) => {
let photos: Vec<ExifSummary> = rows
.into_iter()
// Library filter post-query: keeps the DAO trait (and its
// mocks) unchanged. For typical 23 library setups the in-
// memory pass over a date-bounded result set is negligible;
// can be pushed into SQL later if it ever isn't.
.filter(|r| library_filter.is_none_or(|id| r.library_id == id))
.map(|r| ExifSummary {
library_name: library_names.get(&r.library_id).cloned(),
file_path: r.file_path,
@@ -1459,6 +1476,44 @@ mod tests {
struct MockExifDao;
fn mock_exif_row(
library_id: i32,
rel_path: &str,
date_taken: Option<i64>,
date_taken_source: Option<String>,
) -> crate::database::models::ImageExif {
crate::database::models::ImageExif {
id: 1,
library_id,
file_path: rel_path.to_string(),
camera_make: None,
camera_model: None,
lens_model: None,
width: None,
height: None,
orientation: None,
gps_latitude: None,
gps_longitude: None,
gps_altitude: None,
focal_length: None,
aperture: None,
shutter_speed: None,
iso: None,
date_taken,
created_time: 0,
last_modified: 0,
content_hash: None,
size_bytes: None,
phash_64: None,
dhash_64: None,
duplicate_of_hash: None,
duplicate_decided_at: None,
date_taken_source,
original_date_taken: None,
original_date_taken_source: None,
}
}
impl ExifDao for MockExifDao {
fn store_exif(
&mut self,
@@ -1488,6 +1543,13 @@ mod tests {
last_modified: data.last_modified,
content_hash: data.content_hash.clone(),
size_bytes: data.size_bytes,
phash_64: data.phash_64,
dhash_64: data.dhash_64,
duplicate_of_hash: None,
duplicate_decided_at: None,
date_taken_source: data.date_taken_source.clone(),
original_date_taken: None,
original_date_taken_source: None,
})
}
@@ -1527,6 +1589,13 @@ mod tests {
last_modified: data.last_modified,
content_hash: data.content_hash.clone(),
size_bytes: data.size_bytes,
phash_64: data.phash_64,
dhash_64: data.dhash_64,
duplicate_of_hash: None,
duplicate_decided_at: None,
date_taken_source: data.date_taken_source.clone(),
original_date_taken: None,
original_date_taken_source: None,
})
}
@@ -1549,6 +1618,7 @@ mod tests {
fn get_exif_batch(
&mut self,
_context: &opentelemetry::Context,
_library_id: Option<i32>,
_: &[String],
) -> Result<Vec<crate::database::models::ImageExif>, DbError> {
Ok(Vec::new())
@@ -1557,6 +1627,7 @@ mod tests {
fn query_by_exif(
&mut self,
_context: &opentelemetry::Context,
_library_id: Option<i32>,
_: Option<&str>,
_: Option<&str>,
_: Option<&str>,
@@ -1618,6 +1689,64 @@ mod tests {
Ok(())
}
fn get_rows_needing_date_backfill(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_limit: i64,
) -> Result<Vec<(i32, String)>, DbError> {
Ok(Vec::new())
}
fn backfill_date_taken(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_rel_path: &str,
_date_taken: i64,
_source: &str,
) -> Result<(), DbError> {
Ok(())
}
fn set_manual_date_taken(
&mut self,
_context: &opentelemetry::Context,
library_id: i32,
rel_path: &str,
date_taken: i64,
) -> Result<crate::database::models::ImageExif, DbError> {
// Mock — files.rs tests don't exercise the date-override endpoints.
// Returning a synthetic row keeps the trait satisfied without
// depending on private DbError constructors.
Ok(mock_exif_row(
library_id,
rel_path,
Some(date_taken),
Some("manual".to_string()),
))
}
fn clear_manual_date_taken(
&mut self,
_context: &opentelemetry::Context,
library_id: i32,
rel_path: &str,
) -> Result<crate::database::models::ImageExif, DbError> {
Ok(mock_exif_row(library_id, rel_path, None, None))
}
fn get_memories_in_window(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_span_token: &str,
_years_back: i32,
_tz_offset_minutes: i32,
) -> Result<Vec<(String, i64, i64)>, DbError> {
Ok(Vec::new())
}
fn find_by_content_hash(
&mut self,
_context: &opentelemetry::Context,
@@ -1672,6 +1801,7 @@ mod tests {
_context: &opentelemetry::Context,
_library_ids: &[i32],
_path_prefix: Option<&str>,
_include_duplicates: bool,
) -> Result<Vec<(i32, String)>, DbError> {
Ok(vec![])
}
@@ -1684,6 +1814,109 @@ mod tests {
) -> Result<(), DbError> {
Ok(())
}
fn count_for_library(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
) -> Result<i64, DbError> {
Ok(0)
}
fn list_rel_paths_for_library_page(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_limit: i64,
_offset: i64,
) -> Result<Vec<(i32, String)>, DbError> {
Ok(Vec::new())
}
fn get_rows_missing_perceptual_hash(
&mut self,
_context: &opentelemetry::Context,
_limit: i64,
) -> Result<Vec<(i32, String)>, DbError> {
Ok(Vec::new())
}
fn backfill_perceptual_hash(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_rel_path: &str,
_phash_64: Option<i64>,
_dhash_64: Option<i64>,
) -> Result<(), DbError> {
Ok(())
}
fn list_duplicates_exact(
&mut self,
_context: &opentelemetry::Context,
_library_id: Option<i32>,
_include_resolved: bool,
) -> Result<Vec<crate::database::DuplicateRow>, DbError> {
Ok(Vec::new())
}
fn list_perceptual_candidates(
&mut self,
_context: &opentelemetry::Context,
_library_id: Option<i32>,
_include_resolved: bool,
) -> Result<Vec<crate::database::DuplicateRow>, DbError> {
Ok(Vec::new())
}
fn list_image_paths(
&mut self,
_context: &opentelemetry::Context,
_library_id: Option<i32>,
_include_resolved: bool,
) -> Result<Vec<(i32, String)>, DbError> {
Ok(Vec::new())
}
fn lookup_duplicate_row(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_rel_path: &str,
) -> Result<Option<crate::database::DuplicateRow>, DbError> {
Ok(None)
}
fn set_duplicate_of(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_rel_path: &str,
_survivor_hash: &str,
_decided_at: i64,
) -> Result<(), DbError> {
Ok(())
}
fn clear_duplicate_of(
&mut self,
_context: &opentelemetry::Context,
_library_id: i32,
_rel_path: &str,
) -> Result<(), DbError> {
Ok(())
}
fn union_perceptual_tags(
&mut self,
_context: &opentelemetry::Context,
_survivor_hash: &str,
_demoted_hash: &str,
_survivor_rel_path: &str,
) -> Result<(), DbError> {
Ok(())
}
}
mod api {
+128
View File
@@ -0,0 +1,128 @@
//! User-favorites endpoints. Favorites are keyed on `(user_id, rel_path)`
//! and shared across libraries — a favorite created in lib1 is visible
//! under lib2 if the same rel_path resolves there too.
use std::sync::Mutex;
use actix_web::{
HttpRequest, HttpResponse, Responder, delete, get, put,
web::{self, Data},
};
use log::{error, info, warn};
use opentelemetry::trace::{Span, Status, Tracer};
use crate::data::{AddFavoriteRequest, Claims, PhotosResponse};
use crate::database::{DbError, DbErrorKind, FavoriteDao};
use crate::otel::{extract_context_from_request, global_tracer};
#[get("image/favorites")]
pub async fn favorites(
claims: Claims,
request: HttpRequest,
favorites_dao: Data<Mutex<Box<dyn FavoriteDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("get favorites", &context);
match web::block(move || {
favorites_dao
.lock()
.expect("Unable to get FavoritesDao")
.get_favorites(claims.sub.parse::<i32>().unwrap())
})
.await
{
Ok(Ok(favorites)) => {
let favorites = favorites
.into_iter()
.map(|favorite| favorite.path)
.collect::<Vec<String>>();
span.set_status(Status::Ok);
// Favorites are library-agnostic (shared by rel_path), so we
// intentionally leave photo_libraries empty to signal "no badge".
HttpResponse::Ok().json(PhotosResponse {
photos: favorites,
dirs: Vec::new(),
photo_libraries: Vec::new(),
total_count: None,
has_more: None,
next_offset: None,
})
}
Ok(Err(e)) => {
span.set_status(Status::error(format!("Error getting favorites: {:?}", e)));
error!("Error getting favorites: {:?}", e);
HttpResponse::InternalServerError().finish()
}
Err(_) => HttpResponse::InternalServerError().finish(),
}
}
#[put("image/favorites")]
pub async fn put_add_favorite(
claims: Claims,
body: web::Json<AddFavoriteRequest>,
favorites_dao: Data<Mutex<Box<dyn FavoriteDao>>>,
) -> impl Responder {
if let Ok(user_id) = claims.sub.parse::<i32>() {
let path = body.path.clone();
match web::block::<_, Result<usize, DbError>>(move || {
favorites_dao
.lock()
.expect("Unable to get FavoritesDao")
.add_favorite(user_id, &path)
})
.await
{
Ok(Err(e)) if e.kind == DbErrorKind::AlreadyExists => {
warn!("Favorite: {} exists for user: {}", &body.path, user_id);
HttpResponse::Ok()
}
Ok(Err(e)) => {
error!("{:?} {}. for user: {}", e, body.path, user_id);
HttpResponse::BadRequest()
}
Ok(Ok(_)) => {
info!("Adding favorite \"{}\" for userid: {}", body.path, user_id);
HttpResponse::Created()
}
Err(e) => {
error!("Blocking error while inserting favorite: {:?}", e);
HttpResponse::InternalServerError()
}
}
} else {
error!("Unable to parse sub as i32: {}", claims.sub);
HttpResponse::BadRequest()
}
}
#[delete("image/favorites")]
pub async fn delete_favorite(
claims: Claims,
body: web::Query<AddFavoriteRequest>,
favorites_dao: Data<Mutex<Box<dyn FavoriteDao>>>,
) -> impl Responder {
if let Ok(user_id) = claims.sub.parse::<i32>() {
let path = body.path.clone();
web::block(move || {
favorites_dao
.lock()
.expect("Unable to get favorites dao")
.remove_favorite(user_id, path);
})
.await
.unwrap();
info!(
"Removing favorite \"{}\" for userid: {}",
body.path, user_id
);
HttpResponse::Ok()
} else {
error!("Unable to parse sub as i32: {}", claims.sub);
HttpResponse::BadRequest()
}
}
+999
View File
@@ -0,0 +1,999 @@
//! `/image*` endpoints: image serving (with hash/library-scoped/bare
//! legacy thumbnail lookup), upload, EXIF metadata read + GPS / date
//! mutation, and the full exiftool dump used by Apollo's details modal.
use std::error::Error;
use std::fs::File;
use std::io::ErrorKind;
use std::io::prelude::*;
use std::path::{Path, PathBuf};
use std::sync::Mutex;
use actix_files::NamedFile;
use actix_multipart as mp;
use actix_web::{
HttpRequest, HttpResponse, Responder, get, post,
web::{self, BufMut, BytesMut, Data},
};
use chrono::Utc;
use futures::stream::StreamExt;
use log::{debug, error, info, trace, warn};
use opentelemetry::KeyValue;
use opentelemetry::trace::{Span, Status, TraceContextExt, Tracer};
use urlencoding::decode;
use crate::content_hash;
use crate::data::{
Claims, MetadataResponse, PhotoSize, ThumbnailFormat, ThumbnailRequest, ThumbnailShape,
};
use crate::database::models::{ImageExif, InsertImageExif};
use crate::database::{DbErrorKind, ExifDao};
use crate::date_resolver;
use crate::exif;
use crate::file_types;
use crate::files::{RefreshThumbnailsMessage, is_image_or_video, is_valid_full_path};
use crate::libraries;
use crate::memories;
use crate::otel::{extract_context_from_request, global_tracer};
use crate::perceptual_hash;
use crate::state::AppState;
#[get("/image")]
pub async fn get_image(
_claims: Claims,
request: HttpRequest,
req: web::Query<ThumbnailRequest>,
app_state: Data<AppState>,
exif_dao: Data<Mutex<Box<dyn ExifDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("get_image", &context);
// Resolve library from query param; default to primary so clients that
// don't yet send `library=` continue to work.
let library = match libraries::resolve_library_param(&app_state, req.library.as_deref()) {
Ok(Some(lib)) => lib,
Ok(None) => app_state.primary_library(),
Err(msg) => {
span.set_status(Status::error(msg.clone()));
return HttpResponse::BadRequest().body(msg);
}
};
// Union-mode search returns flat rel_paths with no library attribution,
// so clients may request a file under the wrong library. Try the
// resolved library first; if the file isn't there, fall back to any
// other library holding that rel_path on disk.
let resolved = is_valid_full_path(&library.root_path, &req.path, false)
.filter(|p| p.exists())
.map(|p| (library, p))
.or_else(|| {
app_state.libraries.iter().find_map(|lib| {
if lib.id == library.id {
return None;
}
is_valid_full_path(&lib.root_path, &req.path, false)
.filter(|p| p.exists())
.map(|p| (lib, p))
})
});
if let Some((library, path)) = resolved {
let image_size = req.size.unwrap_or(PhotoSize::Full);
if image_size == PhotoSize::Thumb {
let relative_path = path
.strip_prefix(&library.root_path)
.expect("Error stripping library root prefix from thumbnail");
let relative_path_str = relative_path.to_string_lossy().replace('\\', "/");
let thumbs = &app_state.thumbnail_path;
let bare_legacy_thumb_path = Path::new(&thumbs).join(relative_path);
let scoped_legacy_thumb_path = content_hash::library_scoped_legacy_path(
Path::new(&thumbs),
library.id,
relative_path,
);
// Gif thumbnails are a separate lookup (video GIF previews).
// Dual-lookup for gif is out of scope; preserve existing flow.
if req.format == Some(ThumbnailFormat::Gif) && file_types::is_video_file(&path) {
let mut gif_path = Path::new(&app_state.gif_path).join(relative_path);
gif_path.set_extension("gif");
trace!("Gif thumbnail path: {:?}", gif_path);
if let Ok(file) = NamedFile::open(&gif_path) {
span.set_status(Status::Ok);
return file
.use_etag(true)
.use_last_modified(true)
.prefer_utf8(true)
.into_response(&request);
}
}
// Lookup chain (most-specific first, falling back as we miss):
// 1. hash-keyed (`<thumbs>/<hash[..2]>/<hash>.jpg`) — content
// identity, shared across libraries;
// 2. library-scoped legacy (`<thumbs>/<lib_id>/<rel_path>`) —
// written by current generation when hash isn't known;
// 3. bare legacy (`<thumbs>/<rel_path>`) — pre-multi-library
// thumbs from the days before library prefixing existed.
// Stage (3) goes away once a one-time migration lifts every
// bare-legacy file under a library prefix; until then it
// prevents needless 404s for already-warmed deployments.
let hash_thumb_path: Option<PathBuf> = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
match dao.get_exif(&context, &relative_path_str) {
Ok(Some(row)) => row
.content_hash
.as_deref()
.map(|h| content_hash::thumbnail_path(Path::new(thumbs), h)),
_ => None,
}
};
let thumb_path = hash_thumb_path
.as_ref()
.filter(|p| p.exists())
.cloned()
.or_else(|| {
if scoped_legacy_thumb_path.exists() {
Some(scoped_legacy_thumb_path.clone())
} else {
None
}
})
.unwrap_or_else(|| bare_legacy_thumb_path.clone());
// Handle circular thumbnail request
if req.shape == Some(ThumbnailShape::Circle) {
match create_circular_thumbnail(&thumb_path, thumbs).await {
Ok(circular_path) => {
if let Ok(file) = NamedFile::open(&circular_path) {
span.set_status(Status::Ok);
return file
.use_etag(true)
.use_last_modified(true)
.prefer_utf8(true)
.into_response(&request);
}
}
Err(e) => {
warn!("Failed to create circular thumbnail: {:?}", e);
// Fall through to serve square thumbnail
}
}
}
trace!("Thumbnail path: {:?}", thumb_path);
if let Ok(file) = NamedFile::open(&thumb_path) {
span.set_status(Status::Ok);
return file
.use_etag(true)
.use_last_modified(true)
.prefer_utf8(true)
.into_response(&request);
}
}
// Full-size requests for RAW formats (NEF/CR2/ARW/etc.) can't just
// NamedFile-stream the original bytes — browsers won't decode the
// RAW container, so a `<img src=...>` lands as a broken image. Serve
// the embedded JPEG preview instead (typically the camera's in-body
// review JPEG, ~12 MP). Falls through to NamedFile if no preview is
// available, which preserves the historical behavior for callers
// that genuinely want the original bytes.
if image_size == PhotoSize::Full && exif::is_tiff_raw(&path) {
if let Some(preview) = exif::extract_embedded_jpeg_preview(&path) {
span.set_status(Status::Ok);
return HttpResponse::Ok()
.content_type("image/jpeg")
.insert_header(("Cache-Control", "public, max-age=3600"))
.body(preview);
}
}
if let Ok(file) = NamedFile::open(&path) {
span.set_status(Status::Ok);
// Enable ETag and set cache headers for full images (1 hour cache)
return file
.use_etag(true)
.use_last_modified(true)
.prefer_utf8(true)
.into_response(&request);
}
span.set_status(Status::error("Not found"));
HttpResponse::NotFound().finish()
} else {
span.set_status(Status::error("Not found"));
error!("Path does not exist in any library: {}", req.path);
HttpResponse::NotFound().finish()
}
}
async fn create_circular_thumbnail(
thumb_path: &Path,
thumbs_dir: &str,
) -> Result<PathBuf, Box<dyn Error>> {
use image::{GenericImageView, ImageBuffer, Rgba};
// Create circular thumbnails directory
let circular_dir = Path::new(thumbs_dir).join("_circular");
// Get relative path from thumbs_dir to create same structure
let relative_to_thumbs = thumb_path.strip_prefix(thumbs_dir)?;
let circular_path = circular_dir.join(relative_to_thumbs).with_extension("png");
// Check if circular thumbnail already exists
if circular_path.exists() {
return Ok(circular_path);
}
// Create parent directory if needed
if let Some(parent) = circular_path.parent() {
std::fs::create_dir_all(parent)?;
}
// Load the square thumbnail
let img = image::open(thumb_path)?;
let (width, height) = img.dimensions();
// Fixed output size for consistency
let output_size = 80u32;
let radius = output_size as f32 / 2.0;
// Calculate crop area to get square center of original image
let crop_size = width.min(height);
let crop_x = (width - crop_size) / 2;
let crop_y = (height - crop_size) / 2;
// Create a new RGBA image with transparency
let output = ImageBuffer::from_fn(output_size, output_size, |x, y| {
let dx = x as f32 - radius;
let dy = y as f32 - radius;
let distance = (dx * dx + dy * dy).sqrt();
if distance <= radius {
// Inside circle - map to cropped source area
// Scale from output coordinates to crop coordinates
let scale = crop_size as f32 / output_size as f32;
let src_x = crop_x + (x as f32 * scale) as u32;
let src_y = crop_y + (y as f32 * scale) as u32;
let pixel = img.get_pixel(src_x, src_y);
Rgba([pixel[0], pixel[1], pixel[2], 255])
} else {
// Outside circle - transparent
Rgba([0, 0, 0, 0])
}
});
// Save as PNG (supports transparency)
output.save(&circular_path)?;
Ok(circular_path)
}
#[get("/image/metadata")]
pub async fn get_file_metadata(
_: Claims,
request: HttpRequest,
path: web::Query<ThumbnailRequest>,
app_state: Data<AppState>,
exif_dao: Data<Mutex<Box<dyn ExifDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("get_file_metadata", &context);
let span_context =
opentelemetry::Context::new().with_remote_span_context(span.span_context().clone());
let library = libraries::resolve_library_param(&app_state, path.library.as_deref())
.ok()
.flatten()
.unwrap_or_else(|| app_state.primary_library());
// Fall back to other libraries if the file isn't under the resolved one,
// matching the `/image` handler so union-mode search results resolve.
let resolved = is_valid_full_path(&library.root_path, &path.path, false)
.filter(|p| p.exists())
.map(|p| (library, p))
.or_else(|| {
app_state.libraries.iter().find_map(|lib| {
if lib.id == library.id {
return None;
}
is_valid_full_path(&lib.root_path, &path.path, false)
.filter(|p| p.exists())
.map(|p| (lib, p))
})
});
match resolved
.ok_or_else(|| ErrorKind::InvalidData.into())
.and_then(|(lib, full_path)| {
File::open(&full_path)
.and_then(|file| file.metadata())
.map(|metadata| (lib, metadata))
}) {
Ok((resolved_library, metadata)) => {
let mut response: MetadataResponse = metadata.into();
response.library_id = Some(resolved_library.id);
response.library_name = Some(resolved_library.name.clone());
// Extract date from filename if possible
response.filename_date =
memories::extract_date_from_filename(&path.path).map(|dt| dt.timestamp());
// Query EXIF data if available
if let Ok(mut dao) = exif_dao.lock()
&& let Ok(Some(exif)) = dao.get_exif(&span_context, &path.path)
{
response.exif = Some(exif.into());
}
span.add_event(
"Metadata fetched",
vec![KeyValue::new("file", path.path.clone())],
);
span.set_status(Status::Ok);
HttpResponse::Ok().json(response)
}
Err(e) => {
let message = format!("Error getting metadata for file '{}': {:?}", path.path, e);
error!("{}", message);
span.set_status(Status::error(message));
HttpResponse::InternalServerError().finish()
}
}
}
/// Body for `POST /image/exif/gps` — write GPS coordinates into a file's
/// EXIF in place. Only `path` + `latitude` + `longitude` are required.
/// `library` is optional (falls back to the primary library) and matches
/// the convention of the other path-keyed routes.
#[derive(serde::Deserialize)]
struct SetGpsRequest {
path: String,
library: Option<String>,
latitude: f64,
longitude: f64,
}
#[post("/image/exif/gps")]
pub async fn set_image_gps(
_: Claims,
request: HttpRequest,
body: web::Json<SetGpsRequest>,
app_state: Data<AppState>,
exif_dao: Data<Mutex<Box<dyn ExifDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("set_image_gps", &context);
let span_context =
opentelemetry::Context::new().with_remote_span_context(span.span_context().clone());
let library = libraries::resolve_library_param(&app_state, body.library.as_deref())
.ok()
.flatten()
.unwrap_or_else(|| app_state.primary_library());
// Same fallback as get_file_metadata: union-mode means a file may
// resolve under a sibling library.
let resolved = is_valid_full_path(&library.root_path, &body.path, false)
.filter(|p| p.exists())
.map(|p| (library, p))
.or_else(|| {
app_state.libraries.iter().find_map(|lib| {
if lib.id == library.id {
return None;
}
is_valid_full_path(&lib.root_path, &body.path, false)
.filter(|p| p.exists())
.map(|p| (lib, p))
})
});
let (resolved_library, full_path) = match resolved {
Some(v) => v,
None => {
span.set_status(Status::error("file not found"));
return HttpResponse::NotFound().body("File not found");
}
};
if !exif::supports_exif(&full_path) {
return HttpResponse::BadRequest().body("File format does not support EXIF GPS write");
}
if let Err(e) = exif::write_gps(&full_path, body.latitude, body.longitude) {
let msg = format!("exiftool write failed: {}", e);
error!("{}", msg);
span.set_status(Status::error(msg.clone()));
return HttpResponse::InternalServerError().body(msg);
}
// Re-read EXIF from disk (the write path doesn't tell us the rest of
// the parsed fields back, and we want the DB row to match what
// extract_exif_from_path would now produce). Update the existing row
// rather than insert — this endpoint is invoked on already-indexed
// files only.
let extracted = match exif::extract_exif_from_path(&full_path) {
Ok(d) => d,
Err(e) => {
// GPS was written successfully but re-extraction failed; surface
// a 500 because the DB will now disagree with disk until the
// next file scan rewrites it.
let msg = format!("EXIF re-read failed after write: {}", e);
error!("{}", msg);
return HttpResponse::InternalServerError().body(msg);
}
};
let now = Utc::now().timestamp();
let normalized_path = body.path.replace('\\', "/");
// Re-run the canonical-date waterfall on every GPS write — exiftool
// writing GPS doesn't change the capture date, but if the row was
// previously sourced from `fs_time` the re-read may have given us a
// real EXIF date this time, and we want to upgrade the source.
let resolved_date = date_resolver::resolve_date_taken(&full_path, extracted.date_taken);
let insert_exif = InsertImageExif {
library_id: resolved_library.id,
file_path: normalized_path.clone(),
camera_make: extracted.camera_make,
camera_model: extracted.camera_model,
lens_model: extracted.lens_model,
width: extracted.width,
height: extracted.height,
orientation: extracted.orientation,
gps_latitude: extracted.gps_latitude.map(|v| v as f32),
gps_longitude: extracted.gps_longitude.map(|v| v as f32),
gps_altitude: extracted.gps_altitude.map(|v| v as f32),
focal_length: extracted.focal_length.map(|v| v as f32),
aperture: extracted.aperture.map(|v| v as f32),
shutter_speed: extracted.shutter_speed,
iso: extracted.iso,
date_taken: resolved_date.map(|r| r.timestamp),
// Created_time is preserved by update_exif (it doesn't touch the
// column); pass any int — it's ignored in the UPDATE statement.
created_time: now,
last_modified: now,
// Hash + size aren't touched in update_exif either, but the file
// bytes did change — best-effort recompute so the new hash lands
// on the next call to get_exif. Failure here just leaves the old
// values in place.
content_hash: content_hash::compute(&full_path)
.ok()
.map(|c| c.content_hash),
size_bytes: content_hash::compute(&full_path).ok().map(|c| c.size_bytes),
// GPS-update path doesn't touch perceptual hashes either; columns
// ignored by update_exif. Compute best-effort so a new file lands
// with a usable signal; failure just leaves prior values in place.
phash_64: perceptual_hash::compute(&full_path).map(|h| h.phash_64),
dhash_64: perceptual_hash::compute(&full_path).map(|h| h.dhash_64),
date_taken_source: resolved_date.map(|r| r.source.as_str().to_string()),
};
let updated = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
// If the row doesn't exist yet (file isn't indexed for some reason),
// insert instead so the GPS write is at least visible the moment
// the watcher catches up.
match dao.get_exif(&span_context, &normalized_path) {
Ok(Some(_)) => dao.update_exif(&span_context, insert_exif),
Ok(None) => dao.store_exif(&span_context, insert_exif),
Err(_) => dao.update_exif(&span_context, insert_exif),
}
};
match updated {
Ok(row) => {
// Mirror the file metadata so the client gets the new size /
// mtime in the same response and can refresh its cached
// metadata block in one round-trip.
let fs_meta = std::fs::metadata(&full_path).ok();
let mut response: MetadataResponse = match fs_meta {
Some(m) => m.into(),
None => MetadataResponse {
created: None,
modified: None,
size: 0,
exif: None,
filename_date: None,
library_id: None,
library_name: None,
},
};
response.exif = Some(row.into());
response.library_id = Some(resolved_library.id);
response.library_name = Some(resolved_library.name.clone());
response.filename_date =
memories::extract_date_from_filename(&body.path).map(|dt| dt.timestamp());
span.set_status(Status::Ok);
HttpResponse::Ok().json(response)
}
Err(e) => {
let msg = format!("EXIF DB update failed: {:?}", e);
error!("{}", msg);
span.set_status(Status::error(msg.clone()));
HttpResponse::InternalServerError().body(msg)
}
}
}
/// `GET /image/exif/full?path=&library=` — full per-file EXIF dump via
/// exiftool, for the DETAILS modal's "FULL EXIF" pane. Strictly richer
/// than `/image/metadata`'s curated subset (every group exiftool can
/// see: EXIF, File, MakerNotes, Composite, ICC_Profile, IPTC, …).
///
/// On-demand only — the watcher / indexer never calls this. Falls back
/// to 503 when exiftool isn't installed (deployer guidance is the same
/// as for the RAW preview pipeline: install exiftool for full coverage).
#[get("/image/exif/full")]
pub async fn get_full_exif(
_: Claims,
request: HttpRequest,
path: web::Query<ThumbnailRequest>,
app_state: Data<AppState>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("get_full_exif", &context);
let library = libraries::resolve_library_param(&app_state, path.library.as_deref())
.ok()
.flatten()
.unwrap_or_else(|| app_state.primary_library());
// Same union-mode fallback as get_file_metadata — the file may live
// under a sibling library when the requested one's path resolves but
// doesn't actually contain the bytes.
let resolved = is_valid_full_path(&library.root_path, &path.path, false)
.filter(|p| p.exists())
.map(|p| (library, p))
.or_else(|| {
app_state.libraries.iter().find_map(|lib| {
if lib.id == library.id {
return None;
}
is_valid_full_path(&lib.root_path, &path.path, false)
.filter(|p| p.exists())
.map(|p| (lib, p))
})
});
let (resolved_library, full_path) = match resolved {
Some(v) => v,
None => {
span.set_status(Status::error("file not found"));
return HttpResponse::NotFound().body("File not found");
}
};
// exiftool spawn is blocking — keep it off the actix worker by
// running on the blocking pool. ~50200 ms typical for a JPEG;
// longer for RAW with rich MakerNotes.
let exif_result =
web::block(move || crate::exif::read_full_exif_via_exiftool(&full_path)).await;
match exif_result {
Ok(Ok(Some(tags))) => {
span.set_status(Status::Ok);
HttpResponse::Ok().json(serde_json::json!({
"library_id": resolved_library.id,
"library_name": resolved_library.name,
"tags": tags,
}))
}
Ok(Ok(None)) => {
// exiftool ran but produced no output for this file — treat as
// empty rather than an error so the modal renders "no tags"
// gracefully.
HttpResponse::Ok().json(serde_json::json!({
"library_id": resolved_library.id,
"library_name": resolved_library.name,
"tags": serde_json::Value::Object(Default::default()),
}))
}
Ok(Err(e)) => {
let msg = format!("exiftool failed: {}", e);
error!("{}", msg);
span.set_status(Status::error(msg.clone()));
// 503 — typically "exiftool isn't on PATH" or a transient spawn
// failure. Apollo surfaces a hint in the modal.
HttpResponse::ServiceUnavailable().body(msg)
}
Err(e) => {
let msg = format!("blocking-pool error: {}", e);
error!("{}", msg);
span.set_status(Status::error(msg.clone()));
HttpResponse::InternalServerError().body(msg)
}
}
}
/// Body for `POST /image/exif/date` — operator-driven date_taken override.
/// `date_taken` is unix seconds (matches `image_exif.date_taken`'s convention
/// — naive local reinterpreted as UTC, not real UTC; the Apollo client passes
/// through the same value the photo carousel rendered before edit).
#[derive(serde::Deserialize)]
struct SetDateRequest {
path: String,
library: Option<String>,
date_taken: i64,
}
/// Body for `POST /image/exif/date/clear` — revert a manual override and
/// restore the resolver-derived `(date_taken, date_taken_source)` pair from
/// the snapshot.
#[derive(serde::Deserialize)]
struct ClearDateRequest {
path: String,
library: Option<String>,
}
/// Build a `MetadataResponse` for the date endpoints. Mirrors
/// `get_file_metadata`'s shape so the client gets a single source of truth
/// after every mutation. Filesystem metadata is best-effort: if the file is
/// on a stale mount or moved, the DB-side override still succeeds and the
/// response carries `created=None, modified=None, size=0`. The DB row's
/// updated EXIF is what matters here.
fn build_metadata_response_for_date_mutation(
library: &libraries::Library,
rel_path: &str,
exif: ImageExif,
) -> MetadataResponse {
let full_path = is_valid_full_path(&library.root_path, &rel_path.to_string(), false);
let fs_meta = full_path
.as_ref()
.filter(|p| p.exists())
.and_then(|p| std::fs::metadata(p).ok());
let mut response: MetadataResponse = match fs_meta {
Some(m) => m.into(),
None => MetadataResponse {
created: None,
modified: None,
size: 0,
exif: None,
filename_date: None,
library_id: None,
library_name: None,
},
};
response.exif = Some(exif.into());
response.library_id = Some(library.id);
response.library_name = Some(library.name.clone());
response.filename_date =
memories::extract_date_from_filename(rel_path).map(|dt| dt.timestamp());
response
}
#[post("/image/exif/date")]
pub async fn set_image_date(
_: Claims,
request: HttpRequest,
body: web::Json<SetDateRequest>,
app_state: Data<AppState>,
exif_dao: Data<Mutex<Box<dyn ExifDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("set_image_date", &context);
let span_context =
opentelemetry::Context::new().with_remote_span_context(span.span_context().clone());
let library = match libraries::resolve_library_param(&app_state, body.library.as_deref()) {
Ok(Some(lib)) => lib,
Ok(None) => app_state.primary_library(),
Err(msg) => {
span.set_status(Status::error(msg.clone()));
return HttpResponse::BadRequest().body(msg);
}
};
// Path normalization matches set_image_gps so a Windows-import client
// doesn't end up with a backslash variant that misses the row.
let normalized_path = body.path.replace('\\', "/");
let updated = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
dao.set_manual_date_taken(&span_context, library.id, &normalized_path, body.date_taken)
};
match updated {
Ok(row) => {
span.set_status(Status::Ok);
HttpResponse::Ok().json(build_metadata_response_for_date_mutation(
&library,
&normalized_path,
row,
))
}
Err(e) => {
let msg = format!("set_manual_date_taken failed: {:?}", e);
error!("{}", msg);
span.set_status(Status::error(msg.clone()));
match e.kind {
DbErrorKind::NotFound => HttpResponse::NotFound().body(msg),
_ => HttpResponse::InternalServerError().body(msg),
}
}
}
}
#[post("/image/exif/date/clear")]
pub async fn clear_image_date(
_: Claims,
request: HttpRequest,
body: web::Json<ClearDateRequest>,
app_state: Data<AppState>,
exif_dao: Data<Mutex<Box<dyn ExifDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("clear_image_date", &context);
let span_context =
opentelemetry::Context::new().with_remote_span_context(span.span_context().clone());
let library = match libraries::resolve_library_param(&app_state, body.library.as_deref()) {
Ok(Some(lib)) => lib,
Ok(None) => app_state.primary_library(),
Err(msg) => {
span.set_status(Status::error(msg.clone()));
return HttpResponse::BadRequest().body(msg);
}
};
let normalized_path = body.path.replace('\\', "/");
let updated = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
dao.clear_manual_date_taken(&span_context, library.id, &normalized_path)
};
match updated {
Ok(row) => {
span.set_status(Status::Ok);
HttpResponse::Ok().json(build_metadata_response_for_date_mutation(
&library,
&normalized_path,
row,
))
}
Err(e) => {
let msg = format!("clear_manual_date_taken failed: {:?}", e);
error!("{}", msg);
span.set_status(Status::error(msg.clone()));
match e.kind {
DbErrorKind::NotFound => HttpResponse::NotFound().body(msg),
_ => HttpResponse::InternalServerError().body(msg),
}
}
}
}
#[derive(serde::Deserialize)]
struct UploadQuery {
library: Option<String>,
}
#[post("/image")]
pub async fn upload_image(
_: Claims,
request: HttpRequest,
query: web::Query<UploadQuery>,
mut payload: mp::Multipart,
app_state: Data<AppState>,
exif_dao: Data<Mutex<Box<dyn ExifDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("upload_image", &context);
let span_context =
opentelemetry::Context::new().with_remote_span_context(span.span_context().clone());
// Resolve the optional library selector. Absent → primary library
// (backwards-compatible with clients that don't yet send `library=`).
let target_library =
match libraries::resolve_library_param(&app_state, query.library.as_deref()) {
Ok(Some(lib)) => lib,
Ok(None) => app_state.primary_library(),
Err(msg) => {
span.set_status(Status::error(msg.clone()));
return HttpResponse::BadRequest().body(msg);
}
};
let mut file_content: BytesMut = BytesMut::new();
let mut file_name: Option<String> = None;
let mut file_path: Option<String> = None;
while let Some(Ok(mut part)) = payload.next().await {
if let Some(content_type) = part.content_disposition() {
debug!("{:?}", content_type);
if let Some(filename) = content_type.get_filename() {
debug!("Name (raw): {:?}", filename);
// Decode URL-encoded filename (e.g., "file%20name.jpg" -> "file name.jpg")
let decoded_filename = decode(filename)
.map(|s| s.to_string())
.unwrap_or_else(|_| filename.to_string());
debug!("Name (decoded): {:?}", decoded_filename);
file_name = Some(decoded_filename);
while let Some(Ok(data)) = part.next().await {
file_content.put(data);
}
} else if content_type.get_name() == Some("path") {
while let Some(Ok(data)) = part.next().await {
if let Ok(path) = std::str::from_utf8(&data) {
file_path = Some(path.to_string())
}
}
}
}
}
let path = file_path.unwrap_or_else(|| target_library.root_path.clone());
if !file_content.is_empty() {
if file_name.is_none() {
span.set_status(Status::error("No filename provided"));
return HttpResponse::BadRequest().body("No filename provided");
}
let full_path = PathBuf::from(&path).join(file_name.unwrap());
if let Some(full_path) = is_valid_full_path(
&target_library.root_path,
&full_path.to_str().unwrap().to_string(),
true,
) {
// Pre-write content-hash check: if these exact bytes already
// exist anywhere in any library (and aren't themselves
// soft-marked as duplicates), don't write the file. Return
// 409 with the canonical sibling so the mobile app can show
// a friendly "already in your library" toast.
let upload_hash = blake3::Hasher::new()
.update(&file_content)
.finalize()
.to_hex()
.to_string();
{
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
if let Ok(Some(existing)) = dao.find_by_content_hash(&span_context, &upload_hash)
&& existing.duplicate_of_hash.is_none()
{
let library_name = libraries::load_all(&mut crate::database::connect())
.into_iter()
.find(|l| l.id == existing.library_id)
.map(|l| l.name);
span.set_status(Status::Ok);
return HttpResponse::Conflict().json(serde_json::json!({
"duplicate_of": {
"library_id": existing.library_id,
"rel_path": existing.file_path,
},
"content_hash": upload_hash,
"library_name": library_name,
}));
}
}
let context =
opentelemetry::Context::new().with_remote_span_context(span.span_context().clone());
tracer
.span_builder("file write")
.start_with_context(&tracer, &context);
let uploaded_path = if !full_path.is_file() && is_image_or_video(&full_path) {
let mut file = File::create(&full_path).unwrap();
file.write_all(&file_content).unwrap();
info!("Uploaded: {:?}", full_path);
full_path
} else {
warn!("File already exists: {:?}", full_path);
let new_path = format!(
"{}/{}_{}.{}",
full_path.parent().unwrap().to_str().unwrap(),
full_path.file_stem().unwrap().to_str().unwrap(),
Utc::now().timestamp(),
full_path
.extension()
.expect("Uploaded file should have an extension")
.to_str()
.unwrap()
);
info!("Uploaded: {}", new_path);
let new_path_buf = PathBuf::from(&new_path);
let mut file = File::create(&new_path_buf).unwrap();
file.write_all(&file_content).unwrap();
new_path_buf
};
// Extract and store EXIF data if file supports it
if exif::supports_exif(&uploaded_path) {
let relative_path = uploaded_path
.strip_prefix(&target_library.root_path)
.expect("Error stripping library root prefix")
.to_str()
.unwrap()
.replace('\\', "/");
match exif::extract_exif_from_path(&uploaded_path) {
Ok(exif_data) => {
let timestamp = Utc::now().timestamp();
let (content_hash, size_bytes) = match content_hash::compute(&uploaded_path)
{
Ok(id) => (Some(id.content_hash), Some(id.size_bytes)),
Err(e) => {
warn!(
"Failed to hash uploaded {}: {:?}",
uploaded_path.display(),
e
);
(None, None)
}
};
let perceptual = perceptual_hash::compute(&uploaded_path);
let resolved_date =
date_resolver::resolve_date_taken(&uploaded_path, exif_data.date_taken);
let insert_exif = InsertImageExif {
library_id: target_library.id,
file_path: relative_path.clone(),
camera_make: exif_data.camera_make,
camera_model: exif_data.camera_model,
lens_model: exif_data.lens_model,
width: exif_data.width,
height: exif_data.height,
orientation: exif_data.orientation,
gps_latitude: exif_data.gps_latitude.map(|v| v as f32),
gps_longitude: exif_data.gps_longitude.map(|v| v as f32),
gps_altitude: exif_data.gps_altitude.map(|v| v as f32),
focal_length: exif_data.focal_length.map(|v| v as f32),
aperture: exif_data.aperture.map(|v| v as f32),
shutter_speed: exif_data.shutter_speed,
iso: exif_data.iso,
date_taken: resolved_date.map(|r| r.timestamp),
created_time: timestamp,
last_modified: timestamp,
content_hash,
size_bytes,
phash_64: perceptual.map(|h| h.phash_64),
dhash_64: perceptual.map(|h| h.dhash_64),
date_taken_source: resolved_date.map(|r| r.source.as_str().to_string()),
};
if let Ok(mut dao) = exif_dao.lock() {
if let Err(e) = dao.store_exif(&span_context, insert_exif) {
error!("Failed to store EXIF data for {}: {:?}", relative_path, e);
} else {
debug!("EXIF data stored for {}", relative_path);
}
}
}
Err(e) => {
debug!(
"No EXIF data or error extracting from {}: {:?}",
uploaded_path.display(),
e
);
}
}
}
} else {
error!("Invalid path for upload: {:?}", full_path);
span.set_status(Status::error("Invalid path for upload"));
return HttpResponse::BadRequest().body("Path was not valid");
}
} else {
span.set_status(Status::error("No file body read"));
return HttpResponse::BadRequest().body("No file body read");
}
app_state.stream_manager.do_send(RefreshThumbnailsMessage);
span.set_status(Status::Ok);
HttpResponse::Ok().finish()
}
+9
View File
@@ -0,0 +1,9 @@
//! HTTP route handlers, grouped by domain.
//!
//! These were previously inlined in `main.rs`; moving them out keeps
//! `main()` focused on startup wiring and makes each domain
//! independently testable with `actix_web::test::init_service`.
pub mod favorites;
pub mod image;
pub mod video;
+665
View File
@@ -0,0 +1,665 @@
//! Video-related endpoints: HLS playlist generation, segment streaming,
//! and the short-clip preview pipeline.
use std::collections::HashMap;
use std::path::PathBuf;
use std::sync::Mutex;
use actix_files::NamedFile;
use actix_web::{
HttpRequest, HttpResponse, Responder, get, post,
web::{self, Data},
};
use log::{debug, error, info, warn};
use opentelemetry::trace::{Span, Status, Tracer};
use opentelemetry::{KeyValue, global};
use crate::data::{
Claims, PreviewClipRequest, PreviewStatusItem, PreviewStatusRequest, PreviewStatusResponse,
ThumbnailRequest,
};
use crate::database::PreviewDao;
use crate::files::is_valid_full_path;
use crate::libraries;
use crate::otel::{extract_context_from_request, global_tracer};
use crate::state::AppState;
use crate::video::actors::{GeneratePreviewClipMessage, ProcessMessage, create_playlist};
#[post("/video/generate")]
pub async fn generate_video(
_claims: Claims,
request: HttpRequest,
app_state: Data<AppState>,
body: web::Json<ThumbnailRequest>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("generate_video", &context);
let filename = PathBuf::from(&body.path);
if let Some(name) = filename.file_name() {
let filename = name.to_str().expect("Filename should convert to string");
// KNOWN ISSUE (multi-library): playlist filename is the basename
// alone, so two source files with the same basename — whether in
// different libraries or different subdirs of one library —
// overwrite each other's playlists while ffmpeg runs. The
// hash-keyed `content_hash::hls_dir` is the long-term answer
// (see CLAUDE.md "Multi-library data model"); rewiring the
// actor pipeline to use it is out of scope for this branch.
// The orphan-cleanup job above already walks every library so
// it doesn't false-delete archive playlists.
let playlist = format!("{}/{}.m3u8", app_state.video_path, filename);
let library = libraries::resolve_library_param(&app_state, body.library.as_deref())
.ok()
.flatten()
.unwrap_or_else(|| app_state.primary_library());
// Try the resolved library first, then fall back to any other library
// that actually contains the file — handles union-mode requests where
// the mobile client passes no library but the file lives in a
// non-primary library.
let resolved = is_valid_full_path(&library.root_path, &body.path, false)
.filter(|p| p.exists())
.or_else(|| {
app_state.libraries.iter().find_map(|lib| {
if lib.id == library.id {
return None;
}
is_valid_full_path(&lib.root_path, &body.path, false).filter(|p| p.exists())
})
});
if let Some(path) = resolved {
if let Ok(child) = create_playlist(path.to_str().unwrap(), &playlist).await {
span.add_event(
"playlist_created".to_string(),
vec![KeyValue::new("playlist-name", filename.to_string())],
);
span.set_status(Status::Ok);
app_state.stream_manager.do_send(ProcessMessage(
playlist.clone(),
child,
// opentelemetry::Context::new().with_span(span),
));
}
} else {
span.set_status(Status::error(format!("invalid path {:?}", &body.path)));
return HttpResponse::BadRequest().finish();
}
HttpResponse::Ok().json(playlist)
} else {
let message = format!("Unable to get file name: {:?}", filename);
error!("{}", message);
span.set_status(Status::error(message));
HttpResponse::BadRequest().finish()
}
}
#[get("/video/stream")]
pub async fn stream_video(
request: HttpRequest,
_: Claims,
path: web::Query<ThumbnailRequest>,
app_state: Data<AppState>,
) -> impl Responder {
let tracer = global::tracer("image-server");
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("stream_video", &context);
let playlist = &path.path;
debug!("Playlist: {}", playlist);
// Only serve files under video_path (HLS playlists) or base_path (source videos)
if playlist.starts_with(&app_state.video_path)
|| is_valid_full_path(&app_state.base_path, playlist, false).is_some()
{
match NamedFile::open(playlist) {
Ok(file) => {
span.set_status(Status::Ok);
file.into_response(&request)
}
_ => {
span.set_status(Status::error(format!("playlist not found {}", playlist)));
HttpResponse::NotFound().finish()
}
}
} else {
span.set_status(Status::error(format!("playlist not valid {}", playlist)));
HttpResponse::BadRequest().finish()
}
}
#[get("/video/{path}")]
pub async fn get_video_part(
request: HttpRequest,
_: Claims,
path: web::Path<ThumbnailRequest>,
app_state: Data<AppState>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("get_video_part", &context);
let part = &path.path;
debug!("Video part: {}", part);
let mut file_part = PathBuf::new();
file_part.push(app_state.video_path.clone());
file_part.push(part);
// Guard against directory traversal attacks
let canonical_base = match std::fs::canonicalize(&app_state.video_path) {
Ok(path) => path,
Err(e) => {
error!("Failed to canonicalize video path: {:?}", e);
span.set_status(Status::error("Invalid video path configuration"));
return HttpResponse::InternalServerError().finish();
}
};
let canonical_file = match std::fs::canonicalize(&file_part) {
Ok(path) => path,
Err(_) => {
warn!("Video part not found or invalid: {:?}", file_part);
span.set_status(Status::error(format!("Video part not found '{}'", part)));
return HttpResponse::NotFound().finish();
}
};
// Ensure the resolved path is still within the video directory
if !canonical_file.starts_with(&canonical_base) {
warn!("Directory traversal attempt detected: {:?}", part);
span.set_status(Status::error("Invalid video path"));
return HttpResponse::Forbidden().finish();
}
match NamedFile::open(&canonical_file) {
Ok(file) => {
span.set_status(Status::Ok);
file.into_response(&request)
}
_ => {
error!("Video part not found: {:?}", file_part);
span.set_status(Status::error(format!(
"Video part not found '{}'",
file_part.to_str().unwrap()
)));
HttpResponse::NotFound().finish()
}
}
}
#[get("/video/preview")]
pub async fn get_video_preview(
_claims: Claims,
request: HttpRequest,
req: web::Query<PreviewClipRequest>,
app_state: Data<AppState>,
preview_dao: Data<Mutex<Box<dyn PreviewDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("get_video_preview", &context);
// Validate path
let full_path = match is_valid_full_path(&app_state.base_path, &req.path, true) {
Some(path) => path,
None => {
span.set_status(Status::error("Invalid path"));
return HttpResponse::BadRequest().json(serde_json::json!({"error": "Invalid path"}));
}
};
let full_path_str = full_path.to_string_lossy().to_string();
// Use relative path (from BASE_PATH) for DB storage, consistent with EXIF convention
let relative_path = full_path_str
.strip_prefix(&app_state.base_path)
.unwrap_or(&full_path_str)
.trim_start_matches(['/', '\\'])
.to_string();
// Check preview status in DB
let preview = {
let mut dao = preview_dao.lock().expect("Unable to lock PreviewDao");
dao.get_preview(&context, &relative_path)
};
match preview {
Ok(Some(clip)) => match clip.status.as_str() {
"complete" => {
let preview_path = PathBuf::from(&app_state.preview_clips_path)
.join(&relative_path)
.with_extension("mp4");
match NamedFile::open(&preview_path) {
Ok(file) => {
span.set_status(Status::Ok);
file.into_response(&request)
}
Err(_) => {
// File missing on disk but DB says complete - reset and regenerate
let mut dao = preview_dao.lock().expect("Unable to lock PreviewDao");
let _ = dao.update_status(
&context,
&relative_path,
"pending",
None,
None,
None,
);
app_state
.preview_clip_generator
.do_send(GeneratePreviewClipMessage {
video_path: full_path_str,
});
span.set_status(Status::Ok);
HttpResponse::Accepted().json(serde_json::json!({
"status": "processing",
"path": req.path
}))
}
}
}
"processing" => {
span.set_status(Status::Ok);
HttpResponse::Accepted().json(serde_json::json!({
"status": "processing",
"path": req.path
}))
}
"failed" => {
let error_msg = clip
.error_message
.unwrap_or_else(|| "Unknown error".to_string());
span.set_status(Status::error(format!("Generation failed: {}", error_msg)));
HttpResponse::InternalServerError().json(serde_json::json!({
"error": format!("Generation failed: {}", error_msg)
}))
}
_ => {
// pending or unknown status - trigger generation
app_state
.preview_clip_generator
.do_send(GeneratePreviewClipMessage {
video_path: full_path_str,
});
span.set_status(Status::Ok);
HttpResponse::Accepted().json(serde_json::json!({
"status": "processing",
"path": req.path
}))
}
},
Ok(None) => {
// No record exists - insert as pending and trigger generation
{
let mut dao = preview_dao.lock().expect("Unable to lock PreviewDao");
let _ = dao.insert_preview(&context, &relative_path, "pending");
}
app_state
.preview_clip_generator
.do_send(GeneratePreviewClipMessage {
video_path: full_path_str,
});
span.set_status(Status::Ok);
HttpResponse::Accepted().json(serde_json::json!({
"status": "processing",
"path": req.path
}))
}
Err(_) => {
span.set_status(Status::error("Database error"));
HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
}
}
}
#[post("/video/preview/status")]
pub async fn get_preview_status(
_claims: Claims,
request: HttpRequest,
body: web::Json<PreviewStatusRequest>,
app_state: Data<AppState>,
preview_dao: Data<Mutex<Box<dyn PreviewDao>>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&request);
let mut span = tracer.start_with_context("get_preview_status", &context);
// Limit to 200 paths per request
if body.paths.len() > 200 {
span.set_status(Status::error("Too many paths"));
return HttpResponse::BadRequest()
.json(serde_json::json!({"error": "Maximum 200 paths per request"}));
}
let previews = {
let mut dao = preview_dao.lock().expect("Unable to lock PreviewDao");
dao.get_previews_batch(&context, &body.paths)
};
match previews {
Ok(clips) => {
// Build a map of file_path -> VideoPreviewClip for quick lookup
let clip_map: HashMap<String, _> = clips
.into_iter()
.map(|clip| (clip.file_path.clone(), clip))
.collect();
let mut items: Vec<PreviewStatusItem> = Vec::with_capacity(body.paths.len());
for path in &body.paths {
if let Some(clip) = clip_map.get(path) {
// Re-queue generation for stale pending/failed records
if clip.status == "pending" || clip.status == "failed" {
let full_path = format!(
"{}/{}",
app_state.base_path.trim_end_matches(['/', '\\']),
path.trim_start_matches(['/', '\\'])
);
app_state
.preview_clip_generator
.do_send(GeneratePreviewClipMessage {
video_path: full_path,
});
}
items.push(PreviewStatusItem {
path: path.clone(),
status: clip.status.clone(),
preview_url: if clip.status == "complete" {
Some(format!("/video/preview?path={}", urlencoding::encode(path)))
} else {
None
},
});
} else {
// No record exists — insert as pending and trigger generation
{
let mut dao = preview_dao.lock().expect("Unable to lock PreviewDao");
let _ = dao.insert_preview(&context, path, "pending");
}
// Build full path for ffmpeg (actor needs the absolute path for input)
let full_path = format!(
"{}/{}",
app_state.base_path.trim_end_matches(['/', '\\']),
path.trim_start_matches(['/', '\\'])
);
info!("Triggering preview generation for '{}'", path);
app_state
.preview_clip_generator
.do_send(GeneratePreviewClipMessage {
video_path: full_path,
});
items.push(PreviewStatusItem {
path: path.clone(),
status: "pending".to_string(),
preview_url: None,
});
}
}
span.set_status(Status::Ok);
HttpResponse::Ok().json(PreviewStatusResponse { previews: items })
}
Err(_) => {
span.set_status(Status::error("Database error"));
HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::data::Claims;
use crate::database::PreviewDao;
use crate::testhelpers::TestPreviewDao;
use actix_web::App;
fn make_token() -> String {
let claims = Claims::valid_user("1".to_string());
jsonwebtoken::encode(
&jsonwebtoken::Header::default(),
&claims,
&jsonwebtoken::EncodingKey::from_secret(b"test_key"),
)
.unwrap()
}
fn make_preview_dao(dao: TestPreviewDao) -> Data<Mutex<Box<dyn PreviewDao>>> {
Data::new(Mutex::new(Box::new(dao) as Box<dyn PreviewDao>))
}
#[actix_rt::test]
async fn test_get_preview_status_returns_pending_for_unknown() {
let dao = TestPreviewDao::new();
let preview_dao = make_preview_dao(dao);
let app_state = Data::new(AppState::test_state());
let token = make_token();
let app = actix_web::test::init_service(
App::new()
.service(get_preview_status)
.app_data(app_state)
.app_data(preview_dao.clone()),
)
.await;
let req = actix_web::test::TestRequest::post()
.uri("/video/preview/status")
.insert_header(("Authorization", format!("Bearer {}", token)))
.set_json(serde_json::json!({"paths": ["photos/new_video.mp4"]}))
.to_request();
let resp = actix_web::test::call_service(&app, req).await;
assert_eq!(resp.status(), 200);
let body: serde_json::Value = actix_web::test::read_body_json(resp).await;
let previews = body["previews"].as_array().unwrap();
assert_eq!(previews.len(), 1);
assert_eq!(previews[0]["status"], "pending");
// Verify the DAO now has a pending record
let mut dao_lock = preview_dao.lock().unwrap();
let ctx = opentelemetry::Context::new();
let clip = dao_lock.get_preview(&ctx, "photos/new_video.mp4").unwrap();
assert!(clip.is_some());
assert_eq!(clip.unwrap().status, "pending");
}
#[actix_rt::test]
async fn test_get_preview_status_returns_complete_with_url() {
let mut dao = TestPreviewDao::new();
let ctx = opentelemetry::Context::new();
dao.insert_preview(&ctx, "photos/done.mp4", "pending")
.unwrap();
dao.update_status(
&ctx,
"photos/done.mp4",
"complete",
Some(9.5),
Some(500000),
None,
)
.unwrap();
let preview_dao = make_preview_dao(dao);
let app_state = Data::new(AppState::test_state());
let token = make_token();
let app = actix_web::test::init_service(
App::new()
.service(get_preview_status)
.app_data(app_state)
.app_data(preview_dao),
)
.await;
let req = actix_web::test::TestRequest::post()
.uri("/video/preview/status")
.insert_header(("Authorization", format!("Bearer {}", token)))
.set_json(serde_json::json!({"paths": ["photos/done.mp4"]}))
.to_request();
let resp = actix_web::test::call_service(&app, req).await;
assert_eq!(resp.status(), 200);
let body: serde_json::Value = actix_web::test::read_body_json(resp).await;
let previews = body["previews"].as_array().unwrap();
assert_eq!(previews.len(), 1);
assert_eq!(previews[0]["status"], "complete");
assert!(
previews[0]["preview_url"]
.as_str()
.unwrap()
.contains("photos%2Fdone.mp4")
);
}
#[actix_rt::test]
async fn test_get_preview_status_rejects_over_200_paths() {
let dao = TestPreviewDao::new();
let preview_dao = make_preview_dao(dao);
let app_state = Data::new(AppState::test_state());
let token = make_token();
let app = actix_web::test::init_service(
App::new()
.service(get_preview_status)
.app_data(app_state)
.app_data(preview_dao),
)
.await;
let paths: Vec<String> = (0..201).map(|i| format!("video_{}.mp4", i)).collect();
let req = actix_web::test::TestRequest::post()
.uri("/video/preview/status")
.insert_header(("Authorization", format!("Bearer {}", token)))
.set_json(serde_json::json!({"paths": paths}))
.to_request();
let resp = actix_web::test::call_service(&app, req).await;
assert_eq!(resp.status(), 400);
}
#[actix_rt::test]
async fn test_get_preview_status_mixed_statuses() {
let mut dao = TestPreviewDao::new();
let ctx = opentelemetry::Context::new();
dao.insert_preview(&ctx, "a.mp4", "pending").unwrap();
dao.insert_preview(&ctx, "b.mp4", "pending").unwrap();
dao.update_status(&ctx, "b.mp4", "complete", Some(10.0), Some(100000), None)
.unwrap();
let preview_dao = make_preview_dao(dao);
let app_state = Data::new(AppState::test_state());
let token = make_token();
let app = actix_web::test::init_service(
App::new()
.service(get_preview_status)
.app_data(app_state)
.app_data(preview_dao),
)
.await;
let req = actix_web::test::TestRequest::post()
.uri("/video/preview/status")
.insert_header(("Authorization", format!("Bearer {}", token)))
.set_json(serde_json::json!({"paths": ["a.mp4", "b.mp4", "c.mp4"]}))
.to_request();
let resp = actix_web::test::call_service(&app, req).await;
assert_eq!(resp.status(), 200);
let body: serde_json::Value = actix_web::test::read_body_json(resp).await;
let previews = body["previews"].as_array().unwrap();
assert_eq!(previews.len(), 3);
// a.mp4 is pending
assert_eq!(previews[0]["path"], "a.mp4");
assert_eq!(previews[0]["status"], "pending");
// b.mp4 is complete with URL
assert_eq!(previews[1]["path"], "b.mp4");
assert_eq!(previews[1]["status"], "complete");
assert!(previews[1]["preview_url"].is_string());
// c.mp4 was not found — handler inserts pending
assert_eq!(previews[2]["path"], "c.mp4");
assert_eq!(previews[2]["status"], "pending");
}
/// Verifies that the status endpoint re-queues generation for stale
/// "pending" and "failed" records (e.g., after a server restart or
/// when clip files were deleted). The do_send to the actor exercises
/// the re-queue code path; the actor runs against temp dirs so it
/// won't panic.
#[actix_rt::test]
async fn test_get_preview_status_requeues_pending_and_failed() {
let mut dao = TestPreviewDao::new();
let ctx = opentelemetry::Context::new();
// Simulate stale records left from a previous server run
dao.insert_preview(&ctx, "stale/pending.mp4", "pending")
.unwrap();
dao.insert_preview(&ctx, "stale/failed.mp4", "pending")
.unwrap();
dao.update_status(
&ctx,
"stale/failed.mp4",
"failed",
None,
None,
Some("ffmpeg error"),
)
.unwrap();
let preview_dao = make_preview_dao(dao);
let app_state = Data::new(AppState::test_state());
let token = make_token();
let app = actix_web::test::init_service(
App::new()
.service(get_preview_status)
.app_data(app_state)
.app_data(preview_dao),
)
.await;
let req = actix_web::test::TestRequest::post()
.uri("/video/preview/status")
.insert_header(("Authorization", format!("Bearer {}", token)))
.set_json(serde_json::json!({
"paths": ["stale/pending.mp4", "stale/failed.mp4"]
}))
.to_request();
let resp = actix_web::test::call_service(&app, req).await;
assert_eq!(resp.status(), 200);
let body: serde_json::Value = actix_web::test::read_body_json(resp).await;
let previews = body["previews"].as_array().unwrap();
assert_eq!(previews.len(), 2);
// Both records are returned with their current status
assert_eq!(previews[0]["path"], "stale/pending.mp4");
assert_eq!(previews[0]["status"], "pending");
assert!(previews[0].get("preview_url").is_none());
assert_eq!(previews[1]["path"], "stale/failed.mp4");
assert_eq!(previews[1]["status"], "failed");
assert!(previews[1].get("preview_url").is_none());
}
}
+826 -17
View File
File diff suppressed because it is too large Load Diff
+6 -17
View File
@@ -10,6 +10,8 @@ pub mod cleanup;
pub mod content_hash;
pub mod data;
pub mod database;
pub mod date_resolver;
pub mod duplicates;
pub mod error;
pub mod exif;
pub mod face_watch;
@@ -19,14 +21,18 @@ pub mod file_types;
pub mod files;
pub mod geo;
pub mod libraries;
pub mod library_maintenance;
pub mod memories;
pub mod otel;
pub mod parsers;
pub mod perceptual_hash;
pub mod personas;
pub mod service;
pub mod state;
pub mod tags;
#[cfg(test)]
pub mod testhelpers;
pub mod thumbnails;
pub mod utils;
pub mod video;
@@ -34,20 +40,3 @@ pub mod video;
pub use data::{Claims, ThumbnailRequest};
pub use database::{connect, schema};
pub use state::AppState;
// Stub functions for modules that reference main.rs
// These are not used by cleanup_files binary
use std::path::Path;
use walkdir::DirEntry;
pub fn create_thumbnails(_libs: &[libraries::Library], _excluded_dirs: &[String]) {
// Stub - implemented in main.rs
}
pub fn update_media_counts(_media_dir: &Path, _excluded_dirs: &[String]) {
// Stub - implemented in main.rs
}
pub fn is_video(entry: &DirEntry) -> bool {
file_types::direntry_is_video(entry)
}
+797 -3
View File
@@ -1,9 +1,12 @@
use actix_web::{HttpResponse, Responder, get, web::Data};
use actix_web::{HttpResponse, Responder, get, patch, web, web::Data};
use chrono::Utc;
use diesel::prelude::*;
use diesel::sqlite::SqliteConnection;
use log::{info, warn};
use serde::Deserialize;
use std::collections::HashMap;
use std::path::{Path, PathBuf};
use std::sync::{Arc, RwLock};
use crate::data::Claims;
use crate::database::models::{InsertLibrary, LibraryRow};
@@ -26,6 +29,19 @@ pub struct Library {
pub id: i32,
pub name: String,
pub root_path: String,
/// Operator kill switch (mirrors `libraries.enabled`). When `false`
/// the watcher skips this library entirely — before the probe,
/// before ingest, before maintenance. Reads / serving still work
/// (a request whose path resolves to a disabled library's root
/// will succeed if the file is on disk; nothing prevents that
/// today and there's no obvious reason to). Toggle via SQL.
pub enabled: bool,
/// Per-library excluded paths/patterns, parsed from the
/// comma-separated DB column. The walker applies these
/// **in union** with the global `EXCLUDED_DIRS` env var; either
/// list matching a path is enough to exclude. Empty = no
/// library-specific excludes (only the global env var applies).
pub excluded_dirs: Vec<String>,
}
impl Library {
@@ -47,6 +63,158 @@ impl Library {
.ok()
.map(|p| p.to_string_lossy().replace('\\', "/"))
}
/// Effective excluded directories for a walk of this library:
/// the union of the global env-var excludes (passed in by the
/// caller as `globals`) and this library's per-row excludes.
/// Order doesn't matter; `PathExcluder` accepts repeats.
pub fn effective_excluded_dirs(&self, globals: &[String]) -> Vec<String> {
if self.excluded_dirs.is_empty() {
return globals.to_vec();
}
let mut combined: Vec<String> =
Vec::with_capacity(globals.len() + self.excluded_dirs.len());
combined.extend_from_slice(globals);
combined.extend(self.excluded_dirs.iter().cloned());
combined
}
}
/// Parse an excluded_dirs string into a Vec, dropping empty entries.
/// NULL → empty Vec. Duplicates are preserved — `PathExcluder` accepts
/// repeats, and the storage-side normaliser is where dedup happens.
///
/// Accepts both `,` and newline (`\n` / `\r\n`) as separators so the
/// UI's textarea can submit one-entry-per-line input without forcing
/// the operator to remember commas. The DB stores the canonical
/// comma-joined form (see `normalize_excluded_dirs_input`); the
/// newline path matters mostly for the frontend submit, but mirroring
/// it here keeps the parse direction round-trip safe.
pub fn parse_excluded_dirs_column(raw: Option<&str>) -> Vec<String> {
match raw {
None => Vec::new(),
Some(s) => s
.split(|c: char| matches!(c, ',' | '\n' | '\r'))
.map(str::trim)
.filter(|s| !s.is_empty())
.map(String::from)
.collect(),
}
}
/// Validate a single excluded_dirs entry, normalising trivial cosmetic
/// differences and rejecting forms that `PathExcluder` would silently
/// drop. Returns the entry to store, or an error message describing
/// what's wrong with it.
///
/// Rules:
/// - Backslashes are rejected — PathExcluder strips only a leading `/`;
/// a Windows-typed `\photos` or `photos\2024` lands in the
/// component-pattern bucket and never matches anything. Suggest the
/// forward-slash form.
/// - A Windows drive letter prefix (`Z:` etc.) is rejected — excluded
/// entries are *relative to the library root*, not absolute system
/// paths.
/// - A no-leading-slash entry containing `/` is rejected — the
/// component-pattern path matches a single segment only; the user
/// almost certainly meant the leading-slash form.
/// - A `..` segment in a path entry is rejected — `base.join("../x")`
/// doesn't canonicalise, so the resulting prefix never matches and
/// the exclude silently fails.
/// - Trailing slashes on path entries are stripped silently
/// (`/photos/` → `/photos`) — purely cosmetic.
pub fn validate_excluded_dirs_entry(entry: &str) -> Result<String, String> {
let trimmed = entry.trim();
if trimmed.is_empty() {
return Err("empty entry".to_string());
}
if trimmed.contains('\\') {
return Err(format!(
"'{}': use forward slashes — backslash paths never match on the watcher's component-by-component compare",
trimmed
));
}
// Windows drive letter prefix like `Z:` or `Z:/something`. A
// length-2 ASCII-alpha + colon is the canonical form; we don't
// bother with longer multi-letter Windows drive-equivalents
// (`\\?\Volume{…}`) since the backslash check already catches them.
let bytes = trimmed.as_bytes();
if bytes.len() >= 2 && bytes[0].is_ascii_alphabetic() && bytes[1] == b':' {
return Err(format!(
"'{}': excluded entries are relative to the library root, not absolute system paths — drop the drive letter",
trimmed
));
}
if let Some(rel) = trimmed.strip_prefix('/') {
// Path form. Reject `..` traversal — `base.join(\"../x\")` doesn't
// canonicalise, so `path.starts_with(...)` never matches.
if rel
.split('/')
.any(|seg| seg == "..")
{
return Err(format!(
"'{}': '..' segments don't normalise — the prefix-match never fires",
trimmed
));
}
// Strip a trailing slash if any (`/photos/` → `/photos`). Purely
// cosmetic; PathBuf::starts_with treats both forms identically.
let stripped = if rel.ends_with('/') {
format!("/{}", rel.trim_end_matches('/'))
} else {
trimmed.to_string()
};
// After stripping, an empty rel ("/" alone) excludes the root —
// certainly a typo.
if stripped == "/" {
return Err("'/': excluding the library root is almost certainly a typo".to_string());
}
Ok(stripped)
} else {
// Component-pattern form: must be a single segment. A `/`
// anywhere here is the common "I forgot the leading slash" typo
// — reject so the user fixes it instead of staring at an
// exclude that does nothing.
if trimmed.contains('/') {
return Err(format!(
"'{}': multi-segment names only match with a leading slash — try '/{}'",
trimmed, trimmed
));
}
Ok(trimmed.to_string())
}
}
/// Canonicalise an excluded_dirs string for storage: validate each
/// entry, then parse → trim → dedupe (preserving insertion order) →
/// comma-join with no inner whitespace. Empty / whitespace-only input
/// → `Ok(None)` (writes NULL). Any entry that fails validation aborts
/// the whole patch with a descriptive error so the operator can fix
/// the typo before retrying.
///
/// Used by `PATCH /libraries/{id}` so two users typing the same entries
/// in different orders / casings / whitespace land on the same stored
/// form, and a typo'd duplicate (`@eaDir, @eaDir`) collapses on save.
/// Round-trip stable: writing the output back through this function
/// yields the same string.
pub fn normalize_excluded_dirs_input(raw: &str) -> Result<Option<String>, String> {
let parsed = parse_excluded_dirs_column(Some(raw));
if parsed.is_empty() {
return Ok(None);
}
let mut seen = std::collections::HashSet::new();
let mut deduped: Vec<String> = Vec::with_capacity(parsed.len());
for entry in parsed {
let validated = validate_excluded_dirs_entry(&entry)?;
if seen.insert(validated.clone()) {
deduped.push(validated);
}
}
if deduped.is_empty() {
Ok(None)
} else {
Ok(Some(deduped.join(",")))
}
}
impl From<LibraryRow> for Library {
@@ -55,6 +223,8 @@ impl From<LibraryRow> for Library {
id: row.id,
name: row.name,
root_path: row.root_path,
enabled: row.enabled,
excluded_dirs: parse_excluded_dirs_column(row.excluded_dirs.as_deref()),
}
}
}
@@ -109,6 +279,8 @@ pub fn seed_or_patch_from_env(conn: &mut SqliteConnection, base_path: &str) {
name: "main",
root_path: base_path,
created_at: now,
enabled: true,
excluded_dirs: None,
})
.execute(conn);
match result {
@@ -146,18 +318,292 @@ pub fn resolve_library_param<'a>(
.ok_or_else(|| format!("unknown library name: {}", raw))
}
/// Health of a library at a point in time. Probed at the top of each
/// file-watcher tick. The `Stale` state is the "be conservative" signal:
/// destructive paths (ingest writes, future move-handoff and orphan GC in
/// branches B/C) skip a stale library, but reads/serving stay unaffected.
///
/// See `CLAUDE.md` → "Library availability and safety" for the policy.
#[derive(Clone, Debug, serde::Serialize, PartialEq, Eq)]
#[serde(tag = "state", rename_all = "snake_case")]
pub enum LibraryHealth {
Online,
Stale {
reason: String,
/// Unix timestamp (seconds) of the most recent transition into
/// Stale. Held for telemetry / `/libraries` surfacing only —
/// gating logic doesn't read it.
since: i64,
},
}
impl LibraryHealth {
pub fn is_online(&self) -> bool {
matches!(self, LibraryHealth::Online)
}
}
/// Shared snapshot of every configured library's health, keyed by
/// `library_id`. The watcher writes; HTTP handlers read. RwLock because
/// reads vastly outnumber writes (one tick vs. every status request).
pub type LibraryHealthMap = Arc<RwLock<HashMap<i32, LibraryHealth>>>;
/// Construct an initial health map. Libraries start `Online`; the first
/// probe will downgrade any that fail. Starting `Stale` would block ingest
/// for the watcher's first tick on a healthy mount, which is the wrong
/// default for a server that's just been restarted.
pub fn new_health_map(libs: &[Library]) -> LibraryHealthMap {
let mut m = HashMap::with_capacity(libs.len());
for lib in libs {
m.insert(lib.id, LibraryHealth::Online);
}
Arc::new(RwLock::new(m))
}
/// Probe a library's mount point. Cheap: stat + open dir + peek one entry.
///
/// `had_data` is the caller's prior knowledge that this library has been
/// non-empty before — typically `image_exif` row count > 0. When true, an
/// empty directory is suspicious (it's how an unmounted NFS share looks);
/// when false, it's accepted as a fresh mount that simply hasn't been
/// indexed yet.
///
/// Note: stat / read_dir on a hard-mounted, unreachable NFS share can
/// block. The watcher accepts that risk for now — the worst case is that
/// the tick stalls until the mount returns, which is no more destructive
/// than the pre-probe behavior. A future enhancement can wrap this in a
/// thread + timeout if it becomes an operational issue.
pub fn probe_online(lib: &Library, had_data: bool) -> LibraryHealth {
let now = Utc::now().timestamp();
let path = Path::new(&lib.root_path);
let metadata = match std::fs::metadata(path) {
Ok(m) => m,
Err(e) => {
return LibraryHealth::Stale {
reason: format!("root_path stat failed: {}", e),
since: now,
};
}
};
if !metadata.is_dir() {
return LibraryHealth::Stale {
reason: format!("root_path is not a directory: {}", lib.root_path),
since: now,
};
}
let mut entries = match std::fs::read_dir(path) {
Ok(it) => it,
Err(e) => {
return LibraryHealth::Stale {
reason: format!("read_dir failed: {}", e),
since: now,
};
}
};
// Empty directory only counts as Stale when we have prior evidence
// this library used to have content. A genuinely fresh mount is
// legitimately empty, and degrading it would block first-time ingest.
if had_data && entries.next().is_none() {
return LibraryHealth::Stale {
reason: "library is empty but image_exif has rows for it".to_string(),
since: now,
};
}
LibraryHealth::Online
}
/// Probe `lib`, update `map`, and return the new state. Logs only on a
/// state transition (Online↔Stale) so a long outage doesn't spam at every
/// tick — operators get one warn on the way down and one info on the way
/// up.
pub fn refresh_health(map: &LibraryHealthMap, lib: &Library, had_data: bool) -> LibraryHealth {
let new_state = probe_online(lib, had_data);
let mut guard = map.write().unwrap_or_else(|e| e.into_inner());
let prev = guard.get(&lib.id).cloned();
let transitioned = matches!(
(&prev, &new_state),
(None, LibraryHealth::Stale { .. })
| (Some(LibraryHealth::Online), LibraryHealth::Stale { .. })
| (Some(LibraryHealth::Stale { .. }), LibraryHealth::Online)
);
if transitioned {
match &new_state {
LibraryHealth::Online => info!(
"Library '{}' (id={}) recovered: {} is online",
lib.name, lib.id, lib.root_path
),
LibraryHealth::Stale { reason, .. } => warn!(
"Library '{}' (id={}) is STALE — pausing writes. Reason: {}. Path: {}",
lib.name, lib.id, reason, lib.root_path
),
}
}
guard.insert(lib.id, new_state.clone());
new_state
}
/// Snapshot of one library + its current health, for `/libraries`.
#[derive(serde::Serialize)]
pub struct LibraryStatus {
#[serde(flatten)]
pub library: Library,
pub health: LibraryHealth,
}
#[derive(serde::Serialize)]
pub struct LibrariesResponse {
pub libraries: Vec<Library>,
pub libraries: Vec<LibraryStatus>,
/// Globally-excluded paths/patterns from the `EXCLUDED_DIRS` env var.
/// Applied **in union** with each library's own `excluded_dirs`. Surfaced
/// here so an admin UI can show the operator "you already skip these
/// everywhere" before they add per-library entries that would duplicate
/// the global list. Read-only — globals live in `.env` and aren't
/// mutable via the API today.
pub global_excluded_dirs: Vec<String>,
}
#[get("/libraries")]
pub async fn list_libraries(_claims: Claims, app_state: Data<AppState>) -> impl Responder {
// Read from the live view so a recent PATCH /libraries/{id} that
// flipped `enabled` or rewrote `excluded_dirs` surfaces immediately
// — the immutable `app_state.libraries` snapshot is stale once the
// first mutation lands.
let live_guard = app_state
.live_libraries
.read()
.unwrap_or_else(|e| e.into_inner());
let health_guard = app_state
.library_health
.read()
.unwrap_or_else(|e| e.into_inner());
let libraries = live_guard
.iter()
.map(|lib| LibraryStatus {
library: lib.clone(),
health: health_guard
.get(&lib.id)
.cloned()
.unwrap_or(LibraryHealth::Online),
})
.collect();
HttpResponse::Ok().json(LibrariesResponse {
libraries: app_state.libraries.clone(),
libraries,
global_excluded_dirs: app_state.excluded_dirs.clone(),
})
}
/// Body for PATCH /libraries/{id}. Both fields are optional — omitting
/// one leaves it untouched. `excluded_dirs` is the same comma-separated
/// shape as the DB column; an empty string clears (writes NULL).
#[derive(Deserialize, Debug)]
pub struct PatchLibraryBody {
pub enabled: Option<bool>,
pub excluded_dirs: Option<String>,
}
/// Mutate one library row. The watcher reads `app_state.live_libraries`
/// at the top of each tick, so a successful PATCH is picked up within
/// one WATCH_QUICK_INTERVAL_SECONDS without restart — no separate
/// `apply_now` signal. Returns the updated `Library` so the caller can
/// render the new state without a follow-up GET.
///
/// Despite CLAUDE.md noting "Toggle via SQL; there is intentionally no
/// HTTP endpoint for library mutation", we now expose this for Apollo's
/// Settings panel. The single-user trust model hasn't changed; the
/// endpoint just removes the SSH-and-sqlite3 step.
#[patch("/libraries/{id}")]
pub async fn patch_library(
_claims: Claims,
path: web::Path<i32>,
body: web::Json<PatchLibraryBody>,
app_state: Data<AppState>,
) -> impl Responder {
let lib_id = path.into_inner();
let body = body.into_inner();
if body.enabled.is_none() && body.excluded_dirs.is_none() {
return HttpResponse::UnprocessableEntity().body("empty patch body");
}
let mut conn = crate::database::connect();
// Build the SET clause. Diesel's set() takes a tuple of assignments;
// we apply each field independently so an absent field doesn't get
// forced to NULL / its default.
let mut affected = 0usize;
if let Some(enabled) = body.enabled {
match diesel::update(libraries::table.filter(libraries::id.eq(lib_id)))
.set(libraries::enabled.eq(enabled))
.execute(&mut conn)
{
Ok(n) => affected = affected.max(n),
Err(e) => {
warn!("PATCH /libraries/{}: enabled update failed: {:?}", lib_id, e);
return HttpResponse::InternalServerError().body(format!("{}", e));
}
}
}
if let Some(raw) = body.excluded_dirs.as_deref() {
// Canonicalise on write — trim, dedupe, validate, drop empties —
// so the DB stores a round-trip-stable form regardless of how
// messy the user typed it. Empty / whitespace-only → NULL
// (matches a never-set library). Validation failures (Windows
// backslash paths, drive letters, `..` traversal, etc.) bounce
// back as 422 so the operator can fix the typo.
let normalised = match normalize_excluded_dirs_input(raw) {
Ok(v) => v,
Err(msg) => return HttpResponse::UnprocessableEntity().body(msg),
};
let stored: Option<&str> = normalised.as_deref();
match diesel::update(libraries::table.filter(libraries::id.eq(lib_id)))
.set(libraries::excluded_dirs.eq(stored))
.execute(&mut conn)
{
Ok(n) => affected = affected.max(n),
Err(e) => {
warn!(
"PATCH /libraries/{}: excluded_dirs update failed: {:?}",
lib_id, e
);
return HttpResponse::InternalServerError().body(format!("{}", e));
}
}
}
if affected == 0 {
return HttpResponse::NotFound().body(format!("library id {} not found", lib_id));
}
// Refresh the live view from the canonical DB state. Reloading the
// whole table (rather than mutating one entry in place) is cheap
// (handful of rows) and keeps the in-memory and DB views trivially
// consistent.
let fresh = load_all(&mut conn);
let updated = fresh.iter().find(|l| l.id == lib_id).cloned();
{
let mut live = app_state
.live_libraries
.write()
.unwrap_or_else(|e| e.into_inner());
*live = fresh;
}
match updated {
Some(lib) => {
info!(
"PATCH /libraries/{}: enabled={:?} excluded_dirs={:?} → applied",
lib_id, body.enabled, body.excluded_dirs
);
HttpResponse::Ok().json(lib)
}
None => HttpResponse::NotFound().body(format!("library id {} not found after update", lib_id)),
}
}
#[cfg(test)]
mod tests {
use super::*;
@@ -192,6 +638,8 @@ mod tests {
id: 1,
name: "main".into(),
root_path: "/tmp/media".into(),
enabled: true,
excluded_dirs: Vec::new(),
};
let rel = lib.strip_root(Path::new("/tmp/media/2024/photo.jpg"));
assert_eq!(rel.as_deref(), Some("2024/photo.jpg"));
@@ -205,6 +653,8 @@ mod tests {
id: 1,
name: "main".into(),
root_path: "/tmp/media".into(),
enabled: true,
excluded_dirs: Vec::new(),
};
let abs = lib.resolve("2024/photo.jpg");
assert_eq!(abs, PathBuf::from("/tmp/media/2024/photo.jpg"));
@@ -222,11 +672,15 @@ mod tests {
id: 1,
name: "main".into(),
root_path: "/tmp/main".into(),
enabled: true,
excluded_dirs: Vec::new(),
},
Library {
id: 7,
name: "archive".into(),
root_path: "/tmp/archive".into(),
enabled: true,
excluded_dirs: Vec::new(),
},
]
}
@@ -279,4 +733,344 @@ mod tests {
let err = resolve_library_param(&state, Some("missing")).unwrap_err();
assert!(err.contains("unknown library name"));
}
#[test]
fn parse_excluded_dirs_column_handles_null_and_whitespace() {
assert_eq!(parse_excluded_dirs_column(None), Vec::<String>::new());
assert_eq!(parse_excluded_dirs_column(Some("")), Vec::<String>::new());
assert_eq!(
parse_excluded_dirs_column(Some(" /a , /b/sub , @eaDir ,, ")),
vec!["/a".to_string(), "/b/sub".to_string(), "@eaDir".to_string()]
);
}
#[test]
fn parse_excluded_dirs_column_splits_on_newlines_too() {
// Newline-separated input from a textarea submit. One-per-line
// is the recommended UX because "I forgot the comma" was a
// recurring footgun (.thumbnails .thumbnails2 silently
// becomes a single never-matching pattern).
assert_eq!(
parse_excluded_dirs_column(Some("@eaDir\n.thumbnails\n/private")),
vec![
"@eaDir".to_string(),
".thumbnails".to_string(),
"/private".to_string()
]
);
// Windows line endings (CRLF) — the carriage return is its own
// separator so the trailing empty token between \r and \n gets
// trimmed + dropped.
assert_eq!(
parse_excluded_dirs_column(Some("a\r\nb\r\nc")),
vec!["a".to_string(), "b".to_string(), "c".to_string()]
);
// Mixed comma + newline — the user pastes from one source,
// adds a few entries inline. Both work, in any combination.
assert_eq!(
parse_excluded_dirs_column(Some("a, b\nc,d")),
vec![
"a".to_string(),
"b".to_string(),
"c".to_string(),
"d".to_string()
]
);
}
#[test]
fn effective_excluded_dirs_unions_global_and_per_library() {
let lib_no_extras = Library {
id: 1,
name: "main".into(),
root_path: "/x".into(),
enabled: true,
excluded_dirs: Vec::new(),
};
let globals = vec!["@eaDir".to_string(), ".thumbnails".to_string()];
// Empty per-library excludes → exactly the globals.
assert_eq!(lib_no_extras.effective_excluded_dirs(&globals), globals);
let lib_with_extras = Library {
id: 2,
name: "archive".into(),
root_path: "/y".into(),
enabled: true,
excluded_dirs: vec!["/photos".to_string()],
};
let combined = lib_with_extras.effective_excluded_dirs(&globals);
assert!(combined.contains(&"@eaDir".to_string()));
assert!(combined.contains(&".thumbnails".to_string()));
assert!(combined.contains(&"/photos".to_string()));
assert_eq!(combined.len(), 3);
}
#[test]
fn effective_excluded_dirs_keeps_overlap_between_global_and_per_library() {
// Two sources both excluding `@eaDir` is legal — `PathExcluder`
// accepts repeats, and there's no behavioral reason to dedupe
// here. Documents the design choice so a future refactor that
// tightens this is forced to update both code and tests.
let globals = vec!["@eaDir".to_string()];
let lib = Library {
id: 1,
name: "main".into(),
root_path: "/x".into(),
enabled: true,
excluded_dirs: vec!["@eaDir".to_string(), "/private".to_string()],
};
let combined = lib.effective_excluded_dirs(&globals);
// 2 occurrences of @eaDir + /private = 3 entries total.
assert_eq!(combined, vec!["@eaDir", "@eaDir", "/private"]);
}
#[test]
fn normalize_excluded_dirs_input_handles_empty_and_whitespace() {
assert_eq!(normalize_excluded_dirs_input(""), Ok(None));
assert_eq!(normalize_excluded_dirs_input(" "), Ok(None));
assert_eq!(normalize_excluded_dirs_input(",,,"), Ok(None));
assert_eq!(normalize_excluded_dirs_input(" , , "), Ok(None));
}
#[test]
fn normalize_excluded_dirs_input_trims_per_entry() {
// Inner whitespace stripped on each item, comma-joined without
// spaces. Mirrors how parse_excluded_dirs_column reads it back.
assert_eq!(
normalize_excluded_dirs_input(" @eaDir , /private , .thumbnails "),
Ok(Some("@eaDir,/private,.thumbnails".to_string()))
);
}
#[test]
fn normalize_excluded_dirs_input_dedupes_preserving_first_occurrence() {
// Exact-string duplicates collapse; the first occurrence wins
// (preserves the operator's typed order so they recognise their
// intent on round-trip).
assert_eq!(
normalize_excluded_dirs_input("@eaDir, /private, @eaDir, /private"),
Ok(Some("@eaDir,/private".to_string()))
);
// Whitespace-distinct entries collapse to the same canonical
// form. Case is preserved — `Foo` and `foo` are different keys
// (filesystem case-sensitivity is platform-dependent; we don't
// make that call here).
assert_eq!(
normalize_excluded_dirs_input(" Foo,foo, Foo "),
Ok(Some("Foo,foo".to_string()))
);
}
#[test]
fn normalize_excluded_dirs_input_is_round_trip_stable() {
// Writing the normaliser's output back through it yields the
// same string. PATCH-clearing edits round-trip cleanly through
// parse_excluded_dirs_column too.
let raw = " /a/b ,, /a/b , c ";
let once = normalize_excluded_dirs_input(raw)
.expect("validation passes")
.expect("not empty");
let twice = normalize_excluded_dirs_input(&once)
.expect("validation passes")
.expect("not empty");
assert_eq!(once, twice);
// Parsing the stored form back gives the deduped Vec.
assert_eq!(
parse_excluded_dirs_column(Some(&once)),
vec!["/a/b".to_string(), "c".to_string()]
);
}
#[test]
fn validate_rejects_backslash_paths() {
// Windows-typed entries land in the component-pattern bucket
// and never match — reject so the user gets feedback instead
// of a silent no-op.
assert!(validate_excluded_dirs_entry(r"\photos").is_err());
assert!(validate_excluded_dirs_entry(r"photos\2024").is_err());
assert!(validate_excluded_dirs_entry(r"\\server\share").is_err());
// The error message names the entry and points at the fix.
let err = validate_excluded_dirs_entry(r"\photos").unwrap_err();
assert!(err.contains("forward slashes"), "{}", err);
}
#[test]
fn validate_rejects_windows_drive_letters() {
assert!(validate_excluded_dirs_entry("Z:/photos").is_err());
assert!(validate_excluded_dirs_entry("z:photos").is_err());
// Single-letter alpha + colon is the canonical drive prefix;
// the message should steer toward the relative form.
let err = validate_excluded_dirs_entry("Z:/foo").unwrap_err();
assert!(err.contains("relative to the library root"), "{}", err);
}
#[test]
fn validate_rejects_multi_segment_name_without_leading_slash() {
// The common "I forgot the slash" typo. Today this would store
// a never-matching component pattern; we catch it.
let err = validate_excluded_dirs_entry("photos/2024").unwrap_err();
assert!(err.contains("multi-segment"), "{}", err);
// And the suggestion shows the corrected form.
assert!(err.contains("/photos/2024"), "{}", err);
}
#[test]
fn validate_rejects_parent_dir_traversal_in_path_entries() {
// base.join("../sensitive") doesn't canonicalise, so the
// resulting prefix never starts_with anything the walker sees.
assert!(validate_excluded_dirs_entry("/../secret").is_err());
assert!(validate_excluded_dirs_entry("/photos/../keys").is_err());
// Same string as a non-leading-slash component is fine — it
// just never matches (you'd literally need a directory named
// `..` which is impossible on every filesystem we care about),
// but the validator accepts it because the failure mode isn't
// a silent footgun in that direction.
assert!(validate_excluded_dirs_entry("..").is_ok());
}
#[test]
fn validate_strips_trailing_slash_on_path_entries() {
assert_eq!(
validate_excluded_dirs_entry("/photos/").unwrap(),
"/photos"
);
assert_eq!(
validate_excluded_dirs_entry("/photos//").unwrap(),
"/photos"
);
// Bare "/" is rejected — almost certainly a typo for the
// library root.
assert!(validate_excluded_dirs_entry("/").is_err());
assert!(validate_excluded_dirs_entry("///").is_err());
}
#[test]
fn validate_passes_valid_entries() {
for entry in &[
"/photos",
"/photos/2024",
"/media/raw/private",
"@eaDir",
".thumbnails",
".DS_Store",
"node_modules",
] {
assert!(
validate_excluded_dirs_entry(entry).is_ok(),
"expected {} to pass",
entry
);
}
}
#[test]
fn normalize_aborts_on_invalid_entry() {
// One bad entry kills the whole patch — better to surface the
// problem than to silently apply N-1 of N changes.
let err = normalize_excluded_dirs_input("/photos, photos/2024").unwrap_err();
assert!(err.contains("photos/2024"), "{}", err);
// A valid mix succeeds — the bad-entry test isn't accidentally
// matching the good prefix.
assert_eq!(
normalize_excluded_dirs_input("/photos, @eaDir, /private/"),
Ok(Some("/photos,@eaDir,/private".to_string()))
);
}
fn probe_lib(id: i32, root: String) -> Library {
Library {
id,
name: "main".into(),
root_path: root,
enabled: true,
excluded_dirs: Vec::new(),
}
}
#[test]
fn probe_online_for_existing_non_empty_dir() {
let tmp = tempfile::tempdir().unwrap();
std::fs::write(tmp.path().join("photo.jpg"), b"hello").unwrap();
let lib = probe_lib(1, tmp.path().to_string_lossy().into());
// had_data doesn't matter when the dir has entries.
assert!(probe_online(&lib, true).is_online());
assert!(probe_online(&lib, false).is_online());
}
#[test]
fn probe_stale_when_root_missing() {
let lib = probe_lib(1, "/nonexistent/definitely/not/here".into());
assert!(matches!(
probe_online(&lib, false),
LibraryHealth::Stale { .. }
));
}
#[test]
fn probe_stale_when_root_is_a_file() {
let tmp = tempfile::tempdir().unwrap();
let file = tmp.path().join("not-a-dir");
std::fs::write(&file, b"x").unwrap();
let lib = probe_lib(1, file.to_string_lossy().into());
assert!(matches!(
probe_online(&lib, false),
LibraryHealth::Stale { .. }
));
}
#[test]
fn probe_empty_dir_is_online_when_no_prior_data() {
// Fresh mount: empty directory, no rows in image_exif. Accept it.
let tmp = tempfile::tempdir().unwrap();
let lib = probe_lib(1, tmp.path().to_string_lossy().into());
assert!(probe_online(&lib, false).is_online());
}
#[test]
fn probe_empty_dir_is_stale_when_prior_data_existed() {
// The "share went offline" signal: directory exists but is empty,
// and we know the library used to have content. Treat as Stale.
let tmp = tempfile::tempdir().unwrap();
let lib = probe_lib(1, tmp.path().to_string_lossy().into());
match probe_online(&lib, true) {
LibraryHealth::Stale { reason, .. } => {
assert!(reason.contains("empty"), "unexpected reason: {}", reason)
}
other => panic!("expected Stale, got {:?}", other),
}
}
#[test]
fn refresh_health_logs_only_on_transition() {
// Smoke test: refresh_health updates the map and reports correctly.
// (We can't easily assert on logs without a custom logger; the
// important thing is that the state churns properly.)
let tmp = tempfile::tempdir().unwrap();
let lib = Library {
id: 42,
name: "test".into(),
root_path: tmp.path().to_string_lossy().into(),
enabled: true,
excluded_dirs: Vec::new(),
};
let map = new_health_map(&[lib.clone()]);
// First probe: empty dir, no prior data — Online.
let s1 = refresh_health(&map, &lib, false);
assert!(s1.is_online());
// Probe again with had_data=true on the same empty dir — Stale.
let s2 = refresh_health(&map, &lib, true);
assert!(matches!(s2, LibraryHealth::Stale { .. }));
assert_eq!(
map.read().unwrap().get(&lib.id).cloned(),
Some(s2.clone()),
"map should reflect the latest probe"
);
// Recovery: drop a file and probe again.
std::fs::write(tmp.path().join("photo.jpg"), b"x").unwrap();
let s3 = refresh_health(&map, &lib, true);
assert!(s3.is_online());
}
}
+828
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@@ -0,0 +1,828 @@
//! Filesystem-backed maintenance of `image_exif`, the back-ref columns
//! on hash-keyed tables, and orphan derived data.
//!
//! These passes are the operational implementation of the library
//! handoff and orphan rules from CLAUDE.md → "Multi-library data
//! model" / "Library availability and safety":
//!
//! 1. **Missing-file detection** — when a file disappears from disk
//! but its `image_exif` row remains, the row is removed. Naturally
//! implements the move case: when a user moves a file from lib-A
//! to lib-B, the watcher's normal ingest creates the lib-B row;
//! this pass eventually retires the lib-A row.
//!
//! 2. **Back-ref refresh** — hash-keyed rows (`face_detections` and,
//! after Branch B, `tagged_photo` / `photo_insights`) carry a
//! denormalized `(library_id, rel_path)` back-ref. After a move,
//! that back-ref may point at a deleted row. The refresh pass
//! finds rows whose `(library_id, rel_path)` no longer matches
//! any `image_exif` row but whose `content_hash` does, and updates
//! the back-ref to one of the surviving paths. Idempotent.
//!
//! 3. **Orphan GC** — when a `content_hash` no longer has any
//! `image_exif` row referencing it, hash-keyed derived rows for
//! that hash become eligible for deletion. To survive transient
//! unmounts, the pass uses a **two-tick consensus rule**: a hash
//! must be observed orphaned for two consecutive ticks AND every
//! library must be online for both observations. The "marked but
//! not yet deleted" state is held in memory; restarting the
//! watcher resets it (which is fine — the second tick simply
//! happens after the next tick, not the very next one).
//!
//! Pass 1 is filesystem-dependent and gated on the per-library
//! availability probe. Passes 2 and 3 are database-only but pass 3
//! additionally requires every library to be online for the
//! consensus window.
use std::collections::HashSet;
use std::path::Path;
use std::sync::{Arc, Mutex};
use diesel::prelude::*;
use diesel::sql_query;
use diesel::sqlite::SqliteConnection;
use log::{debug, info, warn};
use crate::database::ExifDao;
use crate::libraries::{Library, LibraryHealthMap};
/// Cap on missing-file deletions per library per tick. Prevents a
/// pathological mount that returns "not found" for everything (e.g.
/// case-sensitivity flip on a network share that the probe didn't
/// catch) from wiping the entire image_exif table in one tick. Tunable
/// via `IMAGE_EXIF_MISSING_DELETE_CAP_PER_TICK`.
pub const DEFAULT_MISSING_DELETE_CAP: usize = 200;
/// Page size for the missing-file scan. We stat() every row in this
/// batch but only delete those that are confirmed-not-found (subject
/// to the delete cap above). Tunable via
/// `IMAGE_EXIF_MISSING_SCAN_PAGE_SIZE`.
pub const DEFAULT_SCAN_PAGE_SIZE: i64 = 500;
/// Scan a page of `image_exif` rows for `library`, stat() each one,
/// and delete rows whose source file is gone. Returns
/// `(deleted, next_offset)`. `next_offset` wraps to 0 when the page
/// returned fewer rows than the page size, so the watcher cycles
/// through the whole library across ticks.
///
/// Caller must already have confirmed the library is online — running
/// against a Stale library would interpret every row as missing.
pub fn detect_missing_files_for_library(
context: &opentelemetry::Context,
library: &Library,
exif_dao: &Arc<Mutex<Box<dyn ExifDao>>>,
offset: i64,
page_size: i64,
delete_cap: usize,
) -> (usize, i64) {
let rows = {
let mut dao = exif_dao.lock().expect("exif_dao poisoned");
match dao.list_rel_paths_for_library_page(context, library.id, page_size, offset) {
Ok(r) => r,
Err(e) => {
warn!(
"missing-file scan: list page failed for library '{}' (offset={}): {:?}",
library.name, offset, e
);
return (0, offset);
}
}
};
let n_returned = rows.len();
// Wrap offset when we hit the end of the table — next tick starts
// a fresh sweep. Doing it here rather than on the next call keeps
// the offset accounting visible in one place.
let next_offset = if (n_returned as i64) < page_size {
0
} else {
offset + page_size
};
if rows.is_empty() {
return (0, next_offset);
}
let root = Path::new(&library.root_path);
let mut to_delete: Vec<String> = Vec::new();
for (_id, rel_path) in &rows {
if to_delete.len() >= delete_cap {
break;
}
let abs = root.join(rel_path);
match std::fs::metadata(&abs) {
Ok(_) => {
// File still exists — nothing to do.
}
Err(e) if e.kind() == std::io::ErrorKind::NotFound => {
to_delete.push(rel_path.clone());
}
Err(e) => {
// Permission denied / IO error / etc. — skip this row,
// leave it for the next sweep. We never want a transient
// FS hiccup to mass-delete metadata.
debug!(
"missing-file scan: stat() error for {:?}, skipping: {:?}",
abs, e
);
}
}
}
if to_delete.is_empty() {
return (0, next_offset);
}
let mut deleted = 0;
{
let mut dao = exif_dao.lock().expect("exif_dao poisoned");
for rel_path in &to_delete {
match dao.delete_exif_by_library(context, library.id, rel_path) {
Ok(()) => deleted += 1,
Err(e) => warn!(
"missing-file scan: delete failed for ({}, {}): {:?}",
library.id, rel_path, e
),
}
}
}
if deleted > 0 {
info!(
"missing-file scan: removed {} stale image_exif row(s) from library '{}'",
deleted, library.name
);
}
(deleted, next_offset)
}
/// Refresh the `(library_id, rel_path)` back-refs on hash-keyed
/// tables. A back-ref is stale when:
/// - its `content_hash` is non-null,
/// - that hash is referenced by at least one `image_exif` row, but
/// - the row's own `(library_id, rel_path)` does not appear in
/// `image_exif`.
///
/// In that case, point the back-ref at any surviving image_exif row
/// for the same hash. `face_detections` is the canonical case (it
/// carries `library_id` + `rel_path` columns); `tagged_photo` and
/// `photo_insights` only carry rel_path historically — we still keep
/// it in sync here for consistency, picking any surviving rel_path.
///
/// All-SQL, idempotent. Returns the number of rows updated.
pub fn refresh_back_refs(conn: &mut SqliteConnection) -> usize {
let mut total = 0usize;
// face_detections — back-ref is (library_id, rel_path). Repoint to
// any surviving image_exif row carrying the same content_hash.
let updated = sql_query(
"UPDATE face_detections \
SET library_id = ( \
SELECT ie.library_id FROM image_exif ie \
WHERE ie.content_hash = face_detections.content_hash \
ORDER BY ie.id LIMIT 1 \
), \
rel_path = ( \
SELECT ie.rel_path FROM image_exif ie \
WHERE ie.content_hash = face_detections.content_hash \
ORDER BY ie.id LIMIT 1 \
) \
WHERE EXISTS ( \
SELECT 1 FROM image_exif ie \
WHERE ie.content_hash = face_detections.content_hash \
) \
AND NOT EXISTS ( \
SELECT 1 FROM image_exif ie \
WHERE ie.library_id = face_detections.library_id \
AND ie.rel_path = face_detections.rel_path \
)",
)
.execute(conn)
.unwrap_or_else(|e| {
warn!("back-ref refresh: face_detections update failed: {:?}", e);
0
});
total += updated;
// tagged_photo — only rel_path. Update to any surviving rel_path
// for the same content_hash so the path-only DAO read still finds
// tags after a move.
let updated = sql_query(
"UPDATE tagged_photo \
SET rel_path = ( \
SELECT ie.rel_path FROM image_exif ie \
WHERE ie.content_hash = tagged_photo.content_hash \
ORDER BY ie.id LIMIT 1 \
) \
WHERE content_hash IS NOT NULL \
AND EXISTS ( \
SELECT 1 FROM image_exif ie \
WHERE ie.content_hash = tagged_photo.content_hash \
) \
AND NOT EXISTS ( \
SELECT 1 FROM image_exif ie \
WHERE ie.rel_path = tagged_photo.rel_path \
)",
)
.execute(conn)
.unwrap_or_else(|e| {
warn!("back-ref refresh: tagged_photo update failed: {:?}", e);
0
});
total += updated;
// photo_insights — has both library_id and rel_path. Update both
// when the (library_id, rel_path) tuple no longer matches any
// image_exif row but the hash does.
let updated = sql_query(
"UPDATE photo_insights \
SET library_id = ( \
SELECT ie.library_id FROM image_exif ie \
WHERE ie.content_hash = photo_insights.content_hash \
ORDER BY ie.id LIMIT 1 \
), \
rel_path = ( \
SELECT ie.rel_path FROM image_exif ie \
WHERE ie.content_hash = photo_insights.content_hash \
ORDER BY ie.id LIMIT 1 \
) \
WHERE content_hash IS NOT NULL \
AND EXISTS ( \
SELECT 1 FROM image_exif ie \
WHERE ie.content_hash = photo_insights.content_hash \
) \
AND NOT EXISTS ( \
SELECT 1 FROM image_exif ie \
WHERE ie.library_id = photo_insights.library_id \
AND ie.rel_path = photo_insights.rel_path \
)",
)
.execute(conn)
.unwrap_or_else(|e| {
warn!("back-ref refresh: photo_insights update failed: {:?}", e);
0
});
total += updated;
if total > 0 {
info!("back-ref refresh: updated {} hash-keyed row(s)", total);
}
total
}
/// One tick's outcome of the orphan-GC pass.
#[derive(Debug, Default, Clone, Copy, PartialEq, Eq)]
pub struct GcStats {
/// Hashes newly observed orphaned this tick (added to the
/// pending set).
pub newly_marked: usize,
/// Hashes that were marked last tick AND are still orphaned this
/// tick AND every library is online — these are deleted.
pub deleted_face_detections: usize,
pub deleted_tagged_photo: usize,
pub deleted_photo_insights: usize,
/// Hashes dropped from the pending set because they re-appeared
/// in image_exif (e.g. user remounted a backup that was briefly
/// missing).
pub revived: usize,
}
impl GcStats {
pub fn changed(&self) -> bool {
self.newly_marked > 0
|| self.deleted_face_detections > 0
|| self.deleted_tagged_photo > 0
|| self.deleted_photo_insights > 0
|| self.revived > 0
}
pub fn total_deleted(&self) -> usize {
self.deleted_face_detections + self.deleted_tagged_photo + self.deleted_photo_insights
}
}
/// Two-tick orphan-GC state. The watcher constructs one of these once
/// at startup and passes it back into `run_orphan_gc` every tick.
#[derive(Debug, Default)]
pub struct OrphanGcState {
/// Hashes observed orphaned on the previous tick. A hash gets
/// promoted to "delete" when it survives a second consecutive
/// observation with all libraries online.
pending: HashSet<String>,
/// Whether every library was online on the previous tick. Combined
/// with the all-online check on the current tick, this gives the
/// "two consecutive ticks of full availability" guard described in
/// CLAUDE.md → "Library availability and safety".
prev_tick_all_online: bool,
}
/// Run one tick of the orphan GC. The function is responsible for the
/// full lifecycle: probing for orphans, updating `state.pending`,
/// performing deletes when consensus is reached, and returning stats
/// for the watcher to log.
///
/// Safety guard: `all_online` MUST reflect every configured library
/// being Online right now. Even if true, deletes only happen when the
/// previous tick was also all-online. A single Stale tick within the
/// window cancels any pending deletes (they stay marked but won't be
/// promoted) — they're then re-evaluated next tick.
pub fn run_orphan_gc(
conn: &mut SqliteConnection,
state: &mut OrphanGcState,
all_online: bool,
) -> GcStats {
let mut stats = GcStats::default();
// Find every distinct content_hash referenced by hash-keyed
// derived data that is NOT currently referenced by image_exif.
// These are this tick's orphan candidates. Cheap query — three
// index lookups + a HashSet at row count of derived tables, which
// is small.
let orphans: HashSet<String> = match collect_orphan_hashes(conn) {
Ok(set) => set,
Err(e) => {
warn!("orphan-gc: candidate query failed: {:?}", e);
return stats;
}
};
// Drop entries from pending that are no longer orphaned
// ("revived"). Common case: a network share that briefly went
// stale comes back, image_exif gets re-populated by ingest, and
// the hash is no longer orphaned.
let revived = state
.pending
.difference(&orphans)
.cloned()
.collect::<Vec<_>>();
if !revived.is_empty() {
for h in &revived {
state.pending.remove(h);
}
stats.revived = revived.len();
}
if !all_online {
// Every Stale library cancels both the consensus window AND
// any pending deletes. We *do* still note newly observed
// orphans below — that's harmless bookkeeping. But we never
// delete this tick.
for h in &orphans {
if state.pending.insert(h.clone()) {
stats.newly_marked += 1;
}
}
state.prev_tick_all_online = false;
if stats.changed() {
info!(
"orphan-gc: {} new orphan hash(es) marked, {} revived (deferred — at least one library Stale; pending: {})",
stats.newly_marked,
stats.revived,
state.pending.len()
);
} else {
debug!(
"orphan-gc: stale library, no changes (pending: {})",
state.pending.len()
);
}
return stats;
}
// All-online + previous-tick-also-all-online: hashes that are
// both pending AND still orphaned this tick are confirmed and
// get deleted. Hashes orphaned this tick but not pending get
// freshly marked.
let consensus_window_open = state.prev_tick_all_online;
let to_delete: Vec<String> = if consensus_window_open {
orphans
.iter()
.filter(|h| state.pending.contains(*h))
.cloned()
.collect()
} else {
Vec::new()
};
for h in &orphans {
if !state.pending.contains(h) {
state.pending.insert(h.clone());
stats.newly_marked += 1;
}
}
if !to_delete.is_empty() {
match delete_hash_keyed_rows(conn, &to_delete) {
Ok((faces, tags, insights)) => {
stats.deleted_face_detections = faces;
stats.deleted_tagged_photo = tags;
stats.deleted_photo_insights = insights;
// Drop deleted hashes from pending so we don't try to
// re-delete them next tick (they'll have already been
// removed from the orphan set).
for h in &to_delete {
state.pending.remove(h);
}
}
Err(e) => warn!("orphan-gc: delete batch failed: {:?}", e),
}
}
state.prev_tick_all_online = true;
if stats.changed() {
info!(
"orphan-gc: {} new orphan hash(es) marked, {} revived; deleted {} face_detections / {} tagged_photo / {} photo_insights row(s) (pending: {})",
stats.newly_marked,
stats.revived,
stats.deleted_face_detections,
stats.deleted_tagged_photo,
stats.deleted_photo_insights,
state.pending.len(),
);
} else {
debug!(
"orphan-gc: no changes this tick (pending: {})",
state.pending.len()
);
}
stats
}
/// Helper for the watcher: are *all enabled* libraries currently Online?
///
/// Disabled libraries are out-of-scope for the orphan-GC consensus
/// rule — they don't get probed, don't have a health entry, and a
/// system with one disabled library should still be able to GC
/// orphans for the remaining online libraries. Treating disabled as
/// "blocking" would mean flipping a library to `enabled=false` would
/// permanently halt GC, which is the opposite of the intended kill-
/// switch semantics ("turn this library off and let the rest of the
/// system run normally").
pub fn all_libraries_online(libs: &[Library], health: &LibraryHealthMap) -> bool {
let guard = health.read().unwrap_or_else(|e| e.into_inner());
libs.iter()
.filter(|lib| lib.enabled)
.all(|lib| guard.get(&lib.id).map(|h| h.is_online()).unwrap_or(false))
}
#[derive(QueryableByName, Debug)]
struct HashRow {
#[diesel(sql_type = diesel::sql_types::Text)]
content_hash: String,
}
fn collect_orphan_hashes(conn: &mut SqliteConnection) -> QueryResult<HashSet<String>> {
// Union of every distinct content_hash carried by hash-keyed
// derived tables, minus those still referenced by image_exif.
let rows = sql_query(
"SELECT DISTINCT content_hash FROM ( \
SELECT content_hash FROM face_detections WHERE content_hash IS NOT NULL \
UNION ALL \
SELECT content_hash FROM tagged_photo WHERE content_hash IS NOT NULL \
UNION ALL \
SELECT content_hash FROM photo_insights WHERE content_hash IS NOT NULL \
) AS derived \
WHERE content_hash NOT IN ( \
SELECT content_hash FROM image_exif WHERE content_hash IS NOT NULL \
)",
)
.get_results::<HashRow>(conn)?;
Ok(rows.into_iter().map(|r| r.content_hash).collect())
}
/// Delete every hash-keyed row whose `content_hash` is in `hashes`.
/// Returns `(faces, tagged_photo, photo_insights)`.
fn delete_hash_keyed_rows(
conn: &mut SqliteConnection,
hashes: &[String],
) -> QueryResult<(usize, usize, usize)> {
if hashes.is_empty() {
return Ok((0, 0, 0));
}
use crate::database::schema::{face_detections, photo_insights, tagged_photo};
let faces =
diesel::delete(face_detections::table.filter(face_detections::content_hash.eq_any(hashes)))
.execute(conn)?;
let tags =
diesel::delete(tagged_photo::table.filter(tagged_photo::content_hash.eq_any(hashes)))
.execute(conn)?;
let insights =
diesel::delete(photo_insights::table.filter(photo_insights::content_hash.eq_any(hashes)))
.execute(conn)?;
Ok((faces, tags, insights))
}
#[cfg(test)]
mod tests {
use super::*;
use crate::database::test::in_memory_db_connection;
fn ensure_library(conn: &mut SqliteConnection, library_id: i32) {
diesel::sql_query(
"INSERT OR IGNORE INTO libraries (id, name, root_path, created_at) \
VALUES (?, 'test-' || ?, '/tmp/test-' || ?, 0)",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Integer, _>(library_id)
.execute(conn)
.unwrap();
}
fn insert_image_exif(
conn: &mut SqliteConnection,
library_id: i32,
rel_path: &str,
content_hash: Option<&str>,
) {
ensure_library(conn, library_id);
diesel::sql_query(
"INSERT INTO image_exif (library_id, rel_path, created_time, last_modified, content_hash) \
VALUES (?, ?, 0, 0, ?)",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Text, _>(rel_path)
.bind::<diesel::sql_types::Nullable<diesel::sql_types::Text>, _>(content_hash)
.execute(conn)
.unwrap();
}
fn insert_face(conn: &mut SqliteConnection, library_id: i32, rel_path: &str, hash: &str) {
ensure_library(conn, library_id);
diesel::sql_query(
"INSERT INTO face_detections (library_id, content_hash, rel_path, source, status, model_version, created_at) \
VALUES (?, ?, ?, 'auto', 'no_faces', 'v', 0)",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Text, _>(hash)
.bind::<diesel::sql_types::Text, _>(rel_path)
.execute(conn)
.unwrap();
}
fn insert_tag_with_hash(conn: &mut SqliteConnection, rel_path: &str, hash: &str) {
diesel::sql_query("INSERT OR IGNORE INTO tags (id, name, created_time) VALUES (1, 't', 0)")
.execute(conn)
.unwrap();
diesel::sql_query(
"INSERT INTO tagged_photo (rel_path, tag_id, created_time, content_hash) VALUES (?, 1, 0, ?)",
)
.bind::<diesel::sql_types::Text, _>(rel_path)
.bind::<diesel::sql_types::Text, _>(hash)
.execute(conn)
.unwrap();
}
fn insert_insight_with_hash(
conn: &mut SqliteConnection,
library_id: i32,
rel_path: &str,
hash: &str,
) {
ensure_library(conn, library_id);
diesel::sql_query(
"INSERT INTO photo_insights (library_id, rel_path, title, summary, generated_at, model_version, is_current, backend, content_hash) \
VALUES (?, ?, 't', 's', 0, 'v', 1, 'local', ?)",
)
.bind::<diesel::sql_types::Integer, _>(library_id)
.bind::<diesel::sql_types::Text, _>(rel_path)
.bind::<diesel::sql_types::Text, _>(hash)
.execute(conn)
.unwrap();
}
#[derive(QueryableByName, Debug)]
struct CountRow {
#[diesel(sql_type = diesel::sql_types::BigInt)]
n: i64,
}
fn count(conn: &mut SqliteConnection, sql: &str) -> i64 {
diesel::sql_query(sql)
.get_result::<CountRow>(conn)
.unwrap()
.n
}
#[test]
fn refresh_back_refs_repoints_face_detection_after_move() {
let mut conn = in_memory_db_connection();
// Original location lib 1, rel "old.jpg". image_exif row gone
// (file moved); only the new lib 2 row remains.
insert_image_exif(&mut conn, 2, "new.jpg", Some("h1"));
insert_face(&mut conn, 1, "old.jpg", "h1");
let updated = refresh_back_refs(&mut conn);
assert_eq!(updated, 1);
let row = diesel::sql_query("SELECT library_id AS n FROM face_detections")
.get_result::<CountRow>(&mut conn)
.unwrap();
assert_eq!(row.n, 2, "library_id should now point at lib 2");
}
#[test]
fn refresh_back_refs_no_change_when_back_ref_still_valid() {
let mut conn = in_memory_db_connection();
insert_image_exif(&mut conn, 1, "a.jpg", Some("h1"));
insert_face(&mut conn, 1, "a.jpg", "h1");
let updated = refresh_back_refs(&mut conn);
assert_eq!(updated, 0);
}
#[test]
fn refresh_back_refs_no_change_when_hash_fully_orphaned() {
// Hash exists on face_detections but no surviving image_exif
// row for it → the refresh is a no-op (orphan GC handles
// these). Important: the SET subquery would return NULL and
// we'd null out the back-ref otherwise; the EXISTS guard
// protects against that.
let mut conn = in_memory_db_connection();
insert_face(&mut conn, 1, "gone.jpg", "h1");
let updated = refresh_back_refs(&mut conn);
assert_eq!(updated, 0);
}
#[test]
fn orphan_gc_requires_two_consecutive_all_online_ticks() {
let mut conn = in_memory_db_connection();
// Hash present in face_detections but NOT image_exif → orphan.
insert_face(&mut conn, 1, "x.jpg", "h-orphan");
let mut state = OrphanGcState::default();
// Tick 1: prev_tick_all_online is false (default), so even
// with current tick all-online we mark only.
let stats = run_orphan_gc(&mut conn, &mut state, true);
assert_eq!(stats.newly_marked, 1);
assert_eq!(stats.total_deleted(), 0);
assert_eq!(state.pending.len(), 1);
// Tick 2: prev_tick_all_online is now true, current tick still
// all-online → consensus reached, hash gets deleted.
let stats = run_orphan_gc(&mut conn, &mut state, true);
assert_eq!(stats.deleted_face_detections, 1);
assert!(state.pending.is_empty());
// Tick 3: nothing left.
let stats = run_orphan_gc(&mut conn, &mut state, true);
assert_eq!(stats.total_deleted(), 0);
assert_eq!(stats.newly_marked, 0);
}
#[test]
fn orphan_gc_resets_consensus_on_stale_library() {
let mut conn = in_memory_db_connection();
insert_face(&mut conn, 1, "x.jpg", "h-orphan");
let mut state = OrphanGcState::default();
// Tick 1: all-online, mark.
run_orphan_gc(&mut conn, &mut state, true);
// Tick 2: stale library — consensus window resets, no delete.
let stats = run_orphan_gc(&mut conn, &mut state, false);
assert_eq!(stats.total_deleted(), 0);
assert!(!state.prev_tick_all_online);
// Tick 3: all-online again — but we need ANOTHER tick to set
// prev_tick_all_online before deletes can fire. So tick 3
// marks (no-op on existing pending), tick 4 deletes.
let stats = run_orphan_gc(&mut conn, &mut state, true);
assert_eq!(stats.total_deleted(), 0);
let stats = run_orphan_gc(&mut conn, &mut state, true);
assert_eq!(stats.deleted_face_detections, 1);
}
#[test]
fn orphan_gc_revives_when_image_exif_reappears() {
let mut conn = in_memory_db_connection();
insert_face(&mut conn, 1, "x.jpg", "h-orphan");
let mut state = OrphanGcState::default();
// Tick 1: mark.
run_orphan_gc(&mut conn, &mut state, true);
assert!(state.pending.contains("h-orphan"));
// Between ticks, the image_exif row reappears (e.g. backup
// share was briefly stale). Hash is no longer orphaned.
insert_image_exif(&mut conn, 2, "x.jpg", Some("h-orphan"));
let stats = run_orphan_gc(&mut conn, &mut state, true);
assert_eq!(stats.revived, 1);
assert_eq!(stats.total_deleted(), 0);
assert!(state.pending.is_empty());
}
#[test]
fn orphan_gc_deletes_across_all_three_tables() {
let mut conn = in_memory_db_connection();
// Same orphan hash appears in all three derived tables.
insert_face(&mut conn, 1, "a.jpg", "h-orphan");
insert_tag_with_hash(&mut conn, "a.jpg", "h-orphan");
insert_insight_with_hash(&mut conn, 1, "a.jpg", "h-orphan");
let mut state = OrphanGcState::default();
run_orphan_gc(&mut conn, &mut state, true);
let stats = run_orphan_gc(&mut conn, &mut state, true);
assert_eq!(stats.deleted_face_detections, 1);
assert_eq!(stats.deleted_tagged_photo, 1);
assert_eq!(stats.deleted_photo_insights, 1);
assert_eq!(
count(&mut conn, "SELECT COUNT(*) AS n FROM face_detections"),
0
);
assert_eq!(
count(&mut conn, "SELECT COUNT(*) AS n FROM tagged_photo"),
0
);
assert_eq!(
count(&mut conn, "SELECT COUNT(*) AS n FROM photo_insights"),
0
);
}
#[test]
fn all_libraries_online_helper() {
use crate::libraries::{LibraryHealth, new_health_map};
let libs = vec![
Library {
id: 1,
name: "a".into(),
root_path: "/x".into(),
enabled: true,
excluded_dirs: Vec::new(),
},
Library {
id: 2,
name: "b".into(),
root_path: "/y".into(),
enabled: true,
excluded_dirs: Vec::new(),
},
];
let health = new_health_map(&libs);
assert!(all_libraries_online(&libs, &health));
// Flip lib 2 to stale.
{
let mut g = health.write().unwrap();
g.insert(
2,
LibraryHealth::Stale {
reason: "test".into(),
since: 0,
},
);
}
assert!(!all_libraries_online(&libs, &health));
}
#[test]
fn all_libraries_online_treats_disabled_as_out_of_scope() {
use crate::libraries::{LibraryHealth, new_health_map};
// lib 1 enabled+online, lib 2 disabled (would be treated as
// Online in the health map's optimistic seed but the map
// entry is irrelevant — disabled libs are filtered out
// before the health lookup).
let libs = vec![
Library {
id: 1,
name: "a".into(),
root_path: "/x".into(),
enabled: true,
excluded_dirs: Vec::new(),
},
Library {
id: 2,
name: "b".into(),
root_path: "/y".into(),
enabled: false,
excluded_dirs: Vec::new(),
},
];
let health = new_health_map(&libs);
// Sanity: forcibly mark lib 2 stale to prove disabled wins
// over even an explicit Stale entry — the filter skips it
// before the health check happens.
{
let mut g = health.write().unwrap();
g.insert(
2,
LibraryHealth::Stale {
reason: "intentionally stale".into(),
since: 0,
},
);
}
assert!(
all_libraries_online(&libs, &health),
"disabled library should not block consensus"
);
}
}
+57 -2534
View File
File diff suppressed because it is too large Load Diff
+205 -471
View File
@@ -1,25 +1,18 @@
use actix_web::web::Data;
use actix_web::{HttpRequest, HttpResponse, Responder, get, web};
use chrono::LocalResult::{Ambiguous, Single};
use chrono::{DateTime, Datelike, FixedOffset, Local, LocalResult, NaiveDate, TimeZone, Utc};
use chrono::{DateTime, FixedOffset, Local, NaiveDate, TimeZone, Utc};
use log::{debug, trace, warn};
use opentelemetry::KeyValue;
use opentelemetry::trace::{Span, Status, TraceContextExt, Tracer};
use rayon::prelude::*;
use serde::{Deserialize, Serialize};
use std::collections::HashSet;
use std::path::Path;
use std::path::PathBuf;
use std::sync::Mutex;
use walkdir::WalkDir;
use crate::data::Claims;
use crate::database::ExifDao;
use crate::files::is_image_or_video;
use crate::libraries::Library;
use crate::otel::{extract_context_from_request, global_tracer};
use crate::state::AppState;
use crate::utils::earliest_fs_time;
// Helper that encapsulates path-exclusion semantics
#[derive(Debug)]
@@ -139,23 +132,16 @@ pub struct MemoriesResponse {
pub items: Vec<MemoryItem>,
}
/// Convert Unix timestamp to NaiveDate in client timezone
fn timestamp_to_naive_date(
timestamp: i64,
client_timezone: &Option<FixedOffset>,
) -> Option<NaiveDate> {
let dt_utc = DateTime::<Utc>::from_timestamp(timestamp, 0)?;
let date = if let Some(tz) = client_timezone {
dt_utc.with_timezone(tz).date_naive()
} else {
dt_utc.with_timezone(&Local).date_naive()
};
Some(date)
}
pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset>> {
// Filenames carry only digits — no timezone. We deliberately interpret
// them as UTC so `.timestamp()` returns the wall-clock-as-UTC unix
// seconds, matching the "naive local reinterpreted as UTC" convention
// image_exif.date_taken uses for kamadak-exif DateTimeOriginal (which
// is also naive). Anything else (Local::from_local_datetime, the
// previous behavior) shifted filename-sourced dates by the SERVER's
// TZ offset relative to UTC, making them disagree with EXIF-sourced
// dates by hours and double-shifting through Apollo's photo matcher
// (which re-anchors naive-as-UTC via the browser TZ).
let build_date_from_ymd_capture =
|captures: &regex::Captures| -> Option<DateTime<FixedOffset>> {
let year = captures.get(1)?.as_str().parse::<i32>().ok()?;
@@ -165,16 +151,8 @@ pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset
let min = captures.get(5)?.as_str().parse::<u32>().ok()?;
let sec = captures.get(6)?.as_str().parse::<u32>().ok()?;
match Local.from_local_datetime(
&NaiveDate::from_ymd_opt(year, month, day)?.and_hms_opt(hour, min, sec)?,
) {
Single(dt) => Some(dt.fixed_offset()),
Ambiguous(early_dt, _) => Some(early_dt.fixed_offset()),
LocalResult::None => {
warn!("Weird local date: {:?}", filename);
None
}
}
let naive = NaiveDate::from_ymd_opt(year, month, day)?.and_hms_opt(hour, min, sec)?;
Some(Utc.from_utc_datetime(&naive).fixed_offset())
};
// 1. Screenshot format: Screenshot_2014-06-01-20-44-50.png
@@ -228,12 +206,37 @@ pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset
let timestamp_str = captures.get(1)?.as_str();
let len = timestamp_str.len();
// Snapchat used real unix-second filenames in its early era
// (e.g. `Snapchat-1383929602.jpg` = 2013-11-08), then switched to
// monotonic sequential IDs whose digits overlap plausible epoch
// ranges (`Snapchat-1021849065.mp4` truncates to 2002, actually
// saved 2021; `Snapchat-1751031586660373917.jpg` is 19 digits,
// truncates to 2002, actually 2016). Discriminate by:
// - exactly 10 captured digits AND post-2011-09-23 (launch) → real epoch
// - anything else under this prefix → sequential ID, fall through
// The Snapchat-launch floor catches the 10-digit-2002 case; the
// length=10 gate catches the multi-digit sequential IDs (which
// get truncated to 16 by the regex above).
let lower = filename.to_ascii_lowercase();
let is_snapchat = lower.starts_with("snapchat-");
if is_snapchat && len != 10 {
return None;
}
// Skip autogenerated filenames that start with "10000" (e.g., 1000004178.jpg)
// These are not timestamps but auto-generated file IDs
if timestamp_str.starts_with("10000") {
return None;
}
// A leading zero rules out a real unix timestamp at any sane
// resolution (seconds since 2001-09-09, ms since 1970-01-01 are
// both 10+ digits with no leading zero). Filenames like
// `000227580005.jpg` are sequential scan IDs, not timestamps.
if timestamp_str.starts_with('0') {
return None;
}
// Try milliseconds first (13 digits exactly)
if len == 13
&& let Some(date_time) = timestamp_str
@@ -241,6 +244,7 @@ pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset
.ok()
.and_then(DateTime::from_timestamp_millis)
.map(|naive_dt| naive_dt.fixed_offset())
.and_then(plausible_filename_date)
{
return Some(date_time);
}
@@ -253,6 +257,7 @@ pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset
.ok()
.and_then(|timestamp_secs| DateTime::from_timestamp(timestamp_secs, 0))
.map(|naive_dt| naive_dt.fixed_offset())
.and_then(plausible_filename_date)
{
return Some(date_time);
}
@@ -264,7 +269,15 @@ pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset
.ok()
.and_then(|timestamp_secs| DateTime::from_timestamp(timestamp_secs, 0))
.map(|naive_dt| naive_dt.fixed_offset())
.and_then(plausible_filename_date)
{
// Snapchat launched 2011-09-23. A 10-digit Snapchat filename
// dated before that is a sequential ID (e.g.
// `Snapchat-1021849065.mp4` parses to 2002), not a real epoch.
const SNAPCHAT_LAUNCH_TS: i64 = 1_316_736_000;
if is_snapchat && date_time.timestamp() < SNAPCHAT_LAUNCH_TS {
return None;
}
return Some(date_time);
}
@@ -275,6 +288,7 @@ pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset
.ok()
.and_then(DateTime::from_timestamp_millis)
.map(|naive_dt| naive_dt.fixed_offset())
.and_then(plausible_filename_date)
{
return Some(date_time);
}
@@ -283,232 +297,42 @@ pub fn extract_date_from_filename(filename: &str) -> Option<DateTime<FixedOffset
None
}
/// Get the canonical date for a memory with priority: filename → EXIF → metadata
/// Returns (NaiveDate for matching, timestamp for display, modified timestamp)
fn get_memory_date_with_priority(
path: &Path,
exif_date_taken: Option<i64>,
client_timezone: &Option<FixedOffset>,
) -> Option<(NaiveDate, Option<i64>, Option<i64>)> {
// Read file metadata once
let meta = std::fs::metadata(path).ok()?;
// Priority 1: Try to extract date from filename
if let Some(filename_date) = path
.file_name()
.and_then(|f| f.to_str())
.and_then(extract_date_from_filename)
{
// Convert to client timezone if specified
let date_in_timezone = if let Some(tz) = client_timezone {
filename_date.with_timezone(tz)
} else {
filename_date.with_timezone(&Local).fixed_offset()
};
let timestamp = if let Some(tz) = client_timezone {
filename_date.with_timezone(tz).timestamp()
} else {
filename_date.timestamp()
};
let modified = meta.modified().ok().map(|t| {
let utc: DateTime<Utc> = t.into();
if let Some(tz) = client_timezone {
utc.with_timezone(tz).timestamp()
} else {
utc.timestamp()
}
});
debug!(
"Memory date from filename {:?} > {:?} = {:?}",
path.file_name(),
filename_date,
date_in_timezone
);
return Some((date_in_timezone.date_naive(), Some(timestamp), modified));
}
// Priority 2: Use EXIF date_taken if available
if let Some(exif_timestamp) = exif_date_taken {
let date = timestamp_to_naive_date(exif_timestamp, client_timezone)?;
let modified = meta.modified().ok().map(|t| {
let utc: DateTime<Utc> = t.into();
if let Some(tz) = client_timezone {
utc.with_timezone(tz).timestamp()
} else {
utc.timestamp()
}
});
debug!("Memory date from EXIF {:?} = {:?}", path.file_name(), date);
return Some((date, Some(exif_timestamp), modified));
}
// Priority 3: Fall back to metadata (earlier of created/modified — see utils::earliest_fs_time)
let system_time = earliest_fs_time(&meta)?;
let dt_utc: DateTime<Utc> = system_time.into();
let date_in_timezone = if let Some(tz) = client_timezone {
dt_utc.with_timezone(tz).date_naive()
/// Sanity gate for filename-derived timestamps. Real photo capture dates
/// live in a narrow window; values outside it are almost always sequential
/// scan IDs (`000227580005.jpg` → 1970) or arbitrary numeric suffixes
/// (`IMG_21323906751390.jpeg` → 2037) that the regex caught by accident.
/// Rejecting them lets the date_resolver waterfall fall through to
/// `fs_time`, which is a much better proxy for content age than a fake
/// epoch date.
fn plausible_filename_date(dt: DateTime<FixedOffset>) -> Option<DateTime<FixedOffset>> {
use chrono::Datelike;
let year = dt.year();
// 1995 predates digital photography for most users; allowing one year
// past `now` covers clock-skew on freshly-taken shots without letting
// 2037 timestamps through.
let max_year = Utc::now().year() + 1;
if (1995..=max_year).contains(&year) {
Some(dt)
} else {
dt_utc.with_timezone(&Local).date_naive()
};
let created_timestamp = if let Some(tz) = client_timezone {
dt_utc.with_timezone(tz).timestamp()
} else {
dt_utc.timestamp()
};
let modified = meta.modified().ok().map(|t| {
let utc: DateTime<Utc> = t.into();
if let Some(tz) = client_timezone {
utc.with_timezone(tz).timestamp()
} else {
utc.timestamp()
}
});
trace!("Fallback metadata create date = {:?}", date_in_timezone);
Some((date_in_timezone, Some(created_timestamp), modified))
None
}
}
/// Collect memories from EXIF database
fn collect_exif_memories(
exif_dao: &Data<Mutex<Box<dyn ExifDao>>>,
context: &opentelemetry::Context,
base_path: &str,
library_id: i32,
now: NaiveDate,
span_mode: MemoriesSpan,
years_back: u32,
client_timezone: &Option<FixedOffset>,
path_excluder: &PathExcluder,
) -> Vec<(MemoryItem, NaiveDate)> {
// Query database for all files with date_taken
let exif_records = match exif_dao.lock() {
Ok(mut dao) => match dao.get_all_with_date_taken(context, Some(library_id)) {
Ok(records) => records,
Err(e) => {
warn!("Failed to query EXIF database: {:?}", e);
return Vec::new(); // Graceful fallback
}
},
Err(e) => {
warn!("Failed to lock EXIF DAO: {:?}", e);
return Vec::new();
}
};
// Parallel processing with Rayon
exif_records
.par_iter()
.filter_map(|(file_path, date_taken_ts)| {
// Build full path
let full_path = Path::new(base_path).join(file_path);
// Check exclusions
if path_excluder.is_excluded(&full_path) {
return None;
}
// Verify file exists
if !full_path.exists() || !full_path.is_file() {
warn!("EXIF record exists but file not found: {:?}", full_path);
return None;
}
// Get date with priority: filename → EXIF → metadata
// This ensures sorting and display use the same date source
let (file_date, created, modified) =
get_memory_date_with_priority(&full_path, Some(*date_taken_ts), client_timezone)?;
// Check if matches memory criteria
if !is_memories_match(file_path, file_date, now, span_mode, years_back) {
return None;
}
Some((
MemoryItem {
path: file_path.clone(),
created,
modified,
library_id,
},
file_date,
))
})
.collect()
/// Convert a `date_taken` Unix-seconds value to a `NaiveDate` in the
/// client's local time. Falls back to server-local when the client didn't
/// send a tz hint.
fn date_in_client_tz(timestamp: i64, client_timezone: Option<FixedOffset>) -> Option<NaiveDate> {
let dt = DateTime::from_timestamp(timestamp, 0)?;
Some(match client_timezone {
Some(tz) => dt.with_timezone(&tz).date_naive(),
None => dt.with_timezone(&Local).date_naive(),
})
}
/// Collect memories from file system scan (for files not in EXIF DB)
fn collect_filesystem_memories(
base_path: &str,
library_id: i32,
path_excluder: &PathExcluder,
skip_paths: &HashSet<PathBuf>,
now: NaiveDate,
span_mode: MemoriesSpan,
years_back: u32,
client_timezone: &Option<FixedOffset>,
) -> Vec<(MemoryItem, NaiveDate)> {
let base = Path::new(base_path);
let entries: Vec<_> = WalkDir::new(base)
.into_iter()
.filter_map(|e| e.ok())
.filter(|e| {
let path = e.path();
// Skip if already processed by EXIF query
if skip_paths.contains(path) {
return false;
}
// Check exclusions
if path_excluder.is_excluded(path) {
return false;
}
// Only process image/video files
e.file_type().is_file() && is_image_or_video(path)
})
.collect();
entries
.par_iter()
.filter_map(|entry| {
// Use unified date priority function (no EXIF for filesystem scan)
let (file_date, created, modified) =
get_memory_date_with_priority(entry.path(), None, client_timezone)?;
if is_memories_match(
entry.path().to_str().unwrap_or("Unknown"),
file_date,
now,
span_mode,
years_back,
) {
let path_relative = entry.path().strip_prefix(base).ok()?.to_str()?.to_string();
Some((
MemoryItem {
path: path_relative,
created,
modified,
library_id,
},
file_date,
))
} else {
None
}
})
.collect()
}
/// Default lookback for `/memories`. The original 15-year cap pre-dated
/// most of the imported libraries; bumped to 20 so users with deeper
/// archives see those photos surface on the matching anniversary too.
pub const DEFAULT_YEARS_BACK: i32 = 20;
#[get("/memories")]
pub async fn list_memories(
@@ -525,32 +349,28 @@ pub async fn list_memories(
opentelemetry::Context::new().with_remote_span_context(span.span_context().clone());
let span_mode = q.span.unwrap_or(MemoriesSpan::Day);
let years_back: u32 = 15;
// Create timezone from client offset, default to local timezone if not provided
let client_timezone = match q.timezone_offset_minutes {
Some(offset_mins) => {
let offset_secs = offset_mins * 60;
Some(
FixedOffset::east_opt(offset_secs)
.unwrap_or_else(|| FixedOffset::east_opt(0).unwrap()),
)
}
None => None,
let span_token = match span_mode {
MemoriesSpan::Day => "day",
MemoriesSpan::Week => "week",
MemoriesSpan::Month => "month",
};
let years_back: i32 = DEFAULT_YEARS_BACK;
let now = if let Some(tz) = client_timezone {
debug!("Client timezone: {:?}", tz);
Utc::now().with_timezone(&tz).date_naive()
} else {
Local::now().date_naive()
};
// The SQL filter expects a signed offset in minutes from UTC; default
// 0 (UTC) when the client didn't send a hint. We also keep a chrono
// `FixedOffset` for sorting/secondary-key date math in Rust below —
// anchoring both sides on the same value keeps "what SQL matched" and
// "what we sort by" consistent.
let tz_offset_minutes = q.timezone_offset_minutes.unwrap_or(0);
let client_timezone = q
.timezone_offset_minutes
.and_then(|offset_mins| FixedOffset::east_opt(offset_mins * 60));
debug!("Now: {:?}", now);
debug!(
"list_memories: span={:?} tz_offset_min={} years_back={}",
span_mode, tz_offset_minutes, years_back
);
// Resolve the optional library filter. Unknown values are a 400; None
// means "all libraries" — currently equivalent to the primary library
// while only one is configured.
let library = match crate::libraries::resolve_library_param(&app_state, q.library.as_deref()) {
Ok(lib) => lib,
Err(msg) => {
@@ -558,91 +378,96 @@ pub async fn list_memories(
return HttpResponse::BadRequest().body(msg);
}
};
// When `library` is `Some`, scope to that one library; otherwise union
// across every configured library and let the results interleave.
let libraries_to_scan: Vec<&Library> = match library {
let libraries_to_scan: Vec<&crate::libraries::Library> = match library {
Some(lib) => vec![lib],
None => app_state.libraries.iter().collect(),
};
// (item, date) tuples — `date` is the canonical NaiveDate of the
// memory in the client's tz, used as the primary sort key.
let mut memories_with_dates: Vec<(MemoryItem, NaiveDate)> = Vec::new();
for lib in &libraries_to_scan {
let base = Path::new(&lib.root_path);
let path_excluder = PathExcluder::new(base, &app_state.excluded_dirs);
let effective = lib.effective_excluded_dirs(&app_state.excluded_dirs);
let path_excluder = PathExcluder::new(base, &effective);
let exif_memories = collect_exif_memories(
&exif_dao,
&span_context,
&lib.root_path,
lib.id,
now,
span_mode,
years_back,
&client_timezone,
&path_excluder,
);
let rows = match exif_dao.lock() {
Ok(mut dao) => match dao.get_memories_in_window(
&span_context,
lib.id,
span_token,
years_back,
tz_offset_minutes,
) {
Ok(rows) => rows,
Err(e) => {
warn!(
"Failed to query memories for library '{}': {:?}",
lib.name, e
);
continue;
}
},
Err(e) => {
warn!("Failed to lock EXIF DAO: {:?}", e);
continue;
}
};
let exif_paths: HashSet<PathBuf> = exif_memories
.iter()
.map(|(item, _)| PathBuf::from(&lib.root_path).join(&item.path))
.collect();
for (rel_path, date_taken_ts, last_modified_ts) in rows {
// Apply per-library exclusions in Rust — they're a small
// set and pushing them into the SQL WHERE adds bind-param
// gymnastics with no measurable win at this scale.
let full_path = base.join(&rel_path);
if path_excluder.is_excluded(&full_path) {
trace!("Memory excluded by PathExcluder: {:?}", full_path);
continue;
}
let fs_memories = collect_filesystem_memories(
&lib.root_path,
lib.id,
&path_excluder,
&exif_paths,
now,
span_mode,
years_back,
&client_timezone,
);
let Some(file_date) = date_in_client_tz(date_taken_ts, client_timezone) else {
continue;
};
memories_with_dates.extend(exif_memories);
memories_with_dates.extend(fs_memories);
memories_with_dates.push((
MemoryItem {
path: rel_path,
created: Some(date_taken_ts),
modified: Some(last_modified_ts),
library_id: lib.id,
},
file_date,
));
}
}
// Sort once over the merged result set. The SQL filter handles the
// matching; sort order is purely UI concern.
match span_mode {
// Sort by absolute time for a more 'overview'
// Month: chronological — gives an "overview" feel.
MemoriesSpan::Month => memories_with_dates.sort_by(|a, b| a.1.cmp(&b.1)),
// For week span, sort by full date + timestamp (chronological)
// Week: full date then timestamp (oldest → newest).
MemoriesSpan::Week => {
memories_with_dates.sort_by(|a, b| {
// First, sort by full date (year, month, day)
let date_cmp = a.1.cmp(&b.1);
if date_cmp != std::cmp::Ordering::Equal {
return date_cmp;
}
// Then sort by full created timestamp (oldest to newest)
match (a.0.created, b.0.created) {
(Some(a_time), Some(b_time)) => a_time.cmp(&b_time),
(Some(_), None) => std::cmp::Ordering::Less,
(None, Some(_)) => std::cmp::Ordering::Greater,
(None, None) => std::cmp::Ordering::Equal,
}
});
}
// For day span, sort by day of month then by time
MemoriesSpan::Day => {
memories_with_dates.sort_by(|a, b| {
let day_comparison = a.1.day().cmp(&b.1.day());
if day_comparison == std::cmp::Ordering::Equal {
match (a.0.created, b.0.created) {
(Some(a_time), Some(b_time)) => a_time.cmp(&b_time),
a.1.cmp(&b.1)
.then_with(|| match (a.0.created, b.0.created) {
(Some(at), Some(bt)) => at.cmp(&bt),
(Some(_), None) => std::cmp::Ordering::Less,
(None, Some(_)) => std::cmp::Ordering::Greater,
(None, None) => std::cmp::Ordering::Equal,
}
} else {
day_comparison
}
})
});
}
// Day: same calendar day across years, sub-sorted by timestamp.
MemoriesSpan::Day => {
memories_with_dates.sort_by(|a, b| match (a.0.created, b.0.created) {
(Some(at), Some(bt)) => at.cmp(&bt),
(Some(_), None) => std::cmp::Ordering::Less,
(None, Some(_)) => std::cmp::Ordering::Greater,
(None, None) => std::cmp::Ordering::Equal,
});
}
}
// Sort by day of the month and time (using the created timestamp)
let items: Vec<MemoryItem> = memories_with_dates.into_iter().map(|(m, _)| m).collect();
@@ -652,13 +477,7 @@ pub async fn list_memories(
KeyValue::new("span", format!("{:?}", span_mode)),
KeyValue::new("years_back", years_back.to_string()),
KeyValue::new("result_count", items.len().to_string()),
KeyValue::new(
"client_timezone",
format!(
"{:?}",
client_timezone.unwrap_or_else(|| FixedOffset::east_opt(0).unwrap())
),
),
KeyValue::new("tz_offset_minutes", tz_offset_minutes.to_string()),
KeyValue::new("excluded_dirs", format!("{:?}", app_state.excluded_dirs)),
],
);
@@ -667,50 +486,10 @@ pub async fn list_memories(
HttpResponse::Ok().json(MemoriesResponse { items })
}
fn is_memories_match(
file_path: &str,
file_date: NaiveDate,
today: NaiveDate,
span: MemoriesSpan,
years_back: u32,
) -> bool {
if file_date > today {
return false;
}
let years_diff = (today.year() - file_date.year()).unsigned_abs();
if years_diff > years_back {
warn!(
"File ({}) date is too far in the past: {:?} vs {:?}",
file_path, file_date, today
);
return false;
}
match span {
MemoriesSpan::Day => same_month_day_any_year(file_date, today),
MemoriesSpan::Week => same_week_any_year(file_date, today),
MemoriesSpan::Month => same_month_any_year(file_date, today),
}
}
fn same_month_day_any_year(a: NaiveDate, b: NaiveDate) -> bool {
a.month() == b.month() && a.day() == b.day()
}
// Match same ISO week number and same weekday (ignoring year)
fn same_week_any_year(a: NaiveDate, b: NaiveDate) -> bool {
a.iso_week().week().eq(&b.iso_week().week())
}
// Match same month (ignoring day and year)
fn same_month_any_year(a: NaiveDate, b: NaiveDate) -> bool {
a.month() == b.month()
}
#[cfg(test)]
mod tests {
use super::*;
use chrono::Timelike;
use chrono::{Datelike, Timelike};
use std::fs::{self, File};
use tempfile::tempdir;
@@ -869,99 +648,54 @@ mod tests {
}
#[test]
fn test_memory_date_priority_filename() {
let temp_dir = tempdir().unwrap();
let temp_file = temp_dir.path().join("Screenshot_2014-06-01-20-44-50.png");
File::create(&temp_file).unwrap();
// Test that filename takes priority (even with EXIF data available)
let exif_date = DateTime::<Utc>::from_timestamp(1609459200, 0) // 2021-01-01
.unwrap()
.timestamp();
let (date, created, _) = get_memory_date_with_priority(
&temp_file,
Some(exif_date),
&Some(*Local::now().fixed_offset().offset()),
)
.unwrap();
// Check that date is from filename (2014), NOT EXIF (2021)
assert_eq!(date.year(), 2014);
assert_eq!(date.month(), 6);
assert_eq!(date.day(), 1);
// Check that created timestamp matches the date from filename
assert!(created.is_some());
let ts = created.unwrap();
// The timestamp should be for 2014-06-01 20:44:50 in the LOCAL timezone
let dt_from_ts = Local.timestamp_opt(ts, 0).unwrap();
assert_eq!(dt_from_ts.year(), 2014);
assert_eq!(dt_from_ts.month(), 6);
assert_eq!(dt_from_ts.day(), 1);
assert_eq!(dt_from_ts.hour(), 20);
assert_eq!(dt_from_ts.minute(), 44);
assert_eq!(dt_from_ts.second(), 50);
fn test_extract_date_from_filename_leading_zero_scan_id_should_not_match() {
// Sequential film-scan IDs like 000227580005.jpg parsed as a 12-digit
// ms timestamp resolve to 1970-01-03; the leading zero rules out a
// real epoch value at any sane resolution. Resolver should fall
// through to fs_time instead of pinning the photo to 1970.
assert!(extract_date_from_filename("000227580005.jpg").is_none());
}
#[test]
fn test_memory_date_priority_metadata_fallback() {
let temp_dir = tempdir().unwrap();
let temp_file = temp_dir.path().join("regular_image.jpg");
File::create(&temp_file).unwrap();
// Test metadata fallback when no filename date or EXIF
let (date, created, modified) =
get_memory_date_with_priority(&temp_file, None, &None).unwrap();
// Both date and timestamps should be from metadata (recent)
let today = Local::now().date_naive();
assert_eq!(date.year(), today.year());
assert_eq!(date.month(), today.month());
// Both timestamps should be valid
assert!(created.is_some());
assert!(modified.is_some());
// Check that timestamps are recent
let dt_created = DateTime::<Utc>::from_timestamp(created.unwrap(), 0).unwrap();
assert_eq!(dt_created.year(), today.year());
let dt_modified = DateTime::<Utc>::from_timestamp(modified.unwrap(), 0).unwrap();
assert_eq!(dt_modified.year(), today.year());
fn test_extract_date_from_filename_far_future_should_not_match() {
// IMG_21323906751390.jpeg → first 10 digits = 2132390675 → 2037.
// Plausibility gate rejects it so the resolver falls through to
// fs_time (which carries the real ingest date).
assert!(extract_date_from_filename("IMG_21323906751390.jpeg").is_none());
}
#[test]
fn test_memory_date_priority_exif_over_metadata() {
let temp_dir = tempdir().unwrap();
let temp_file = temp_dir.path().join("regular_image.jpg");
File::create(&temp_file).unwrap();
// Test that EXIF takes priority over metadata (but not filename)
// EXIF date: June 15, 2020 12:00:00 UTC (safe from timezone edge cases)
let exif_date = DateTime::<Utc>::from_timestamp(1592222400, 0) // 2020-06-15 12:00:00 UTC
.unwrap()
.timestamp();
let (date, created, modified) =
get_memory_date_with_priority(&temp_file, Some(exif_date), &None).unwrap();
// Date should be from EXIF (2020), not metadata (today)
assert_eq!(date.year(), 2020);
assert_eq!(date.month(), 6);
assert_eq!(date.day(), 15);
// Created timestamp should also be from EXIF
assert!(created.is_some());
assert_eq!(created.unwrap(), exif_date);
// Modified should still be from metadata
assert!(modified.is_some());
let today = Local::now().date_naive();
let dt_modified = DateTime::<Utc>::from_timestamp(modified.unwrap(), 0).unwrap();
assert_eq!(dt_modified.year(), today.year());
fn test_extract_date_from_filename_snapchat_sequential_ids_rejected() {
// Modern Snapchat-prefixed filenames carry sequential app-assigned
// IDs whose digits happen to fall inside plausible epoch ranges
// when truncated. Reported cases (real save dates per FileModifyDate):
// Snapchat-1021849065.mp4 → 10 digits → 2002-05-19 (saved 2021)
// Snapchat-1751031586660373917.jpg → 19 digits → 2002-09-09 (saved 2016)
// We discriminate by length + Snapchat-launch floor: only exactly
// 10 digits AND post-2011-09-23 (Snapchat launch) is treated as
// a real unix epoch. Anything else falls through to fs_time.
assert!(extract_date_from_filename("Snapchat-1021849065.mp4").is_none());
assert!(extract_date_from_filename("Snapchat-1751031586660373917.jpg").is_none());
// Case-insensitive match — lowercase variant should also reject.
assert!(extract_date_from_filename("snapchat-1021849065.mp4").is_none());
}
#[test]
fn test_extract_date_from_filename_snapchat_early_era_unix_epoch() {
// Early Snapchat (2013-2014ish) wrote real unix-second filenames.
// Snapchat-1383929602.jpg → 1383929602 = 2013-11-08 16:53:22 UTC.
// The blanket-prefix denial introduced for sequential IDs broke
// these — restore via a length=10 + post-launch sanity gate.
let date_time = extract_date_from_filename("Snapchat-1383929602.jpg").unwrap();
assert_eq!(date_time.timestamp(), 1383929602);
}
// The obsolete `test_memory_date_priority_*` tests covered the old
// request-time waterfall in `get_memory_date_with_priority`. Their
// replacement lives in `crate::date_resolver::tests` (resolver
// waterfall) and the SQL surface is exercised by integration tests
// that hit `get_memories_in_window` directly.
#[test]
fn test_path_excluder_absolute_under_base() {
let tmp = tempdir().unwrap();
+159
View File
@@ -0,0 +1,159 @@
//! Perceptual image hashing for near-duplicate detection.
//!
//! Two 64-bit signals per image, packed into i64 for storage and fast
//! Hamming distance via XOR + popcount:
//!
//! - **pHash (DCT)** — robust to lossy recompression, format conversion,
//! moderate brightness/contrast shifts. The primary signal.
//! - **dHash (gradient)** — much cheaper to compute, robust to scaling
//! and small crops. Acts as a fallback / corroboration when pHash is
//! ambiguous (very flat images can collide).
//!
//! Image-only by design. Videos, decode failures, and any image we
//! can't open all return `None` — perceptual hash failure is non-fatal
//! and must not block the indexer; the file is still hashed by blake3
//! and exact-match dedup keeps working.
use std::path::Path;
use image_hasher::{HashAlg, HasherConfig};
/// 64-bit perceptual fingerprint pair.
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub struct PerceptualIdentity {
pub phash_64: i64,
pub dhash_64: i64,
}
/// Compute pHash + dHash for an image at `path`. Returns `None` on
/// decode failure (unsupported format, corrupt bytes, video, etc.) —
/// callers should treat that as "no perceptual signal available" and
/// proceed with exact-match dedup only.
pub fn compute(path: &Path) -> Option<PerceptualIdentity> {
let img = image::open(path).ok()?;
// 8x8 = 64 bits, the standard size for pHash/dHash. Larger sizes
// give more discriminative power but no longer fit in i64 and the
// marginal robustness isn't worth the storage / index cost for a
// personal-scale library.
let phash = HasherConfig::new()
.hash_alg(HashAlg::Mean)
.hash_size(8, 8)
.preproc_dct()
.to_hasher()
.hash_image(&img);
let dhash = HasherConfig::new()
.hash_alg(HashAlg::Gradient)
.hash_size(8, 8)
.to_hasher()
.hash_image(&img);
Some(PerceptualIdentity {
phash_64: bytes_to_i64(phash.as_bytes())?,
dhash_64: bytes_to_i64(dhash.as_bytes())?,
})
}
/// Hamming distance between two 64-bit perceptual hashes. The primary
/// query primitive: two images are "near-duplicates" when this is below
/// a threshold (default 8 for pHash, ~12% similarity tolerance). The
/// duplicates module clusters via a BK-tree which uses its own copy of
/// this calculation; this helper is kept for ad-hoc tools and tests.
#[allow(dead_code)]
#[inline]
pub fn hamming_distance(a: i64, b: i64) -> u32 {
(a ^ b).count_ones()
}
fn bytes_to_i64(bytes: &[u8]) -> Option<i64> {
if bytes.len() < 8 {
return None;
}
let mut buf = [0u8; 8];
buf.copy_from_slice(&bytes[..8]);
Some(i64::from_be_bytes(buf))
}
#[cfg(test)]
mod tests {
use super::*;
use image::{ImageBuffer, Rgb};
fn write_test_image(path: &Path, seed: u32) {
// Deterministic-but-distinct image content: simple gradient with
// a per-seed offset. Gives pHash/dHash a real signal to work
// with (a uniform image collapses to all-zero hashes).
let img: ImageBuffer<Rgb<u8>, Vec<u8>> = ImageBuffer::from_fn(64, 64, |x, y| {
let r = ((x + seed) & 0xFF) as u8;
let g = ((y + seed * 2) & 0xFF) as u8;
let b = ((x ^ y ^ seed) & 0xFF) as u8;
Rgb([r, g, b])
});
img.save(path).unwrap();
}
#[test]
fn identical_bytes_yield_identical_hashes() {
let dir = tempfile::tempdir().unwrap();
let a = dir.path().join("a.png");
let b = dir.path().join("b.png");
write_test_image(&a, 42);
write_test_image(&b, 42);
let ha = compute(&a).expect("hash a");
let hb = compute(&b).expect("hash b");
assert_eq!(ha, hb);
assert_eq!(hamming_distance(ha.phash_64, hb.phash_64), 0);
}
#[test]
fn distinct_images_have_distinct_hashes() {
let dir = tempfile::tempdir().unwrap();
let a = dir.path().join("a.png");
let b = dir.path().join("b.png");
write_test_image(&a, 42);
write_test_image(&b, 123);
let ha = compute(&a).expect("hash a");
let hb = compute(&b).expect("hash b");
assert_ne!(ha.phash_64, hb.phash_64);
}
#[test]
fn resized_copy_is_near_duplicate_under_threshold() {
// The whole point of perceptual hashing: a resized copy of the
// same source image should land within a small Hamming distance
// of the original. We check the dHash specifically because it's
// the more resize-robust of the two; pHash is also tight but
// gradient-based dHash gives the most reliable signal here.
let dir = tempfile::tempdir().unwrap();
let a = dir.path().join("a.png");
write_test_image(&a, 7);
let img = image::open(&a).unwrap();
let small = img.resize_exact(32, 32, image::imageops::FilterType::Lanczos3);
let b = dir.path().join("b.png");
small.save(&b).unwrap();
let ha = compute(&a).expect("hash a");
let hb = compute(&b).expect("hash b");
let d_dhash = hamming_distance(ha.dhash_64, hb.dhash_64);
assert!(
d_dhash <= 8,
"expected dhash Hamming distance <= 8 for resized copy, got {}",
d_dhash
);
}
#[test]
fn unsupported_path_returns_none() {
let dir = tempfile::tempdir().unwrap();
let p = dir.path().join("notanimage.txt");
std::fs::write(&p, b"hello").unwrap();
assert!(compute(&p).is_none());
}
#[test]
fn missing_file_returns_none() {
let p = Path::new("/nonexistent/path/that/does/not/exist.png");
assert!(compute(p).is_none());
}
}
+355
View File
@@ -0,0 +1,355 @@
//! HTTP handlers for the server-side persona store.
//!
//! Personas previously lived only in mobile AsyncStorage; this module
//! elevates them so they can sync across devices and so the
//! `entity_facts.persona_id` column has something to reference.
//!
//! Built-in personas (default / journal / factual) are seeded by the
//! migration. Customs are created here and may be migrated up from a
//! device's local store via `POST /personas/migrate`.
use actix_web::dev::{ServiceFactory, ServiceRequest};
use actix_web::{App, HttpResponse, Responder, web};
use serde::{Deserialize, Serialize};
use std::sync::Mutex;
use crate::data::Claims;
use crate::database::models::Persona;
use crate::database::{ImportPersona, PersonaDao, PersonaPatch};
// ---------------------------------------------------------------------------
// Wire shapes — camelCase out the door, snake_case from the DB.
// ---------------------------------------------------------------------------
#[derive(Serialize)]
pub struct PersonaView {
pub id: String,
pub name: String,
#[serde(rename = "systemPrompt")]
pub system_prompt: String,
#[serde(rename = "isBuiltIn")]
pub is_built_in: bool,
#[serde(rename = "includeAllMemories")]
pub include_all_memories: bool,
#[serde(rename = "createdAt")]
pub created_at: i64,
#[serde(rename = "updatedAt")]
pub updated_at: i64,
/// "Strict mode" — when true, the agent's recall_* tools return
/// only facts whose status is 'reviewed'. See migration
/// 2026-05-10-000400.
#[serde(rename = "reviewedOnlyFacts")]
pub reviewed_only_facts: bool,
/// Gate for the agent's update_fact / supersede_fact tools.
/// Default false — fresh personas let the agent create but not
/// alter. See migration 2026-05-10-000500.
#[serde(rename = "allowAgentCorrections")]
pub allow_agent_corrections: bool,
}
impl From<Persona> for PersonaView {
fn from(p: Persona) -> Self {
Self {
id: p.persona_id,
name: p.name,
system_prompt: p.system_prompt,
is_built_in: p.is_built_in,
include_all_memories: p.include_all_memories,
created_at: p.created_at,
updated_at: p.updated_at,
reviewed_only_facts: p.reviewed_only_facts,
allow_agent_corrections: p.allow_agent_corrections,
}
}
}
#[derive(Deserialize)]
pub struct CreatePersonaRequest {
pub name: String,
#[serde(rename = "systemPrompt")]
pub system_prompt: String,
/// Optional caller-provided id. When present (e.g. a client that
/// already minted `"custom-1735124234"` locally and is upgrading from
/// the AsyncStorage-only era), the server uses it; collisions return
/// 409. When absent the server mints `"custom-<ms>"`.
#[serde(default, rename = "personaId")]
pub persona_id: Option<String>,
}
#[derive(Deserialize)]
pub struct UpdatePersonaRequest {
#[serde(default)]
pub name: Option<String>,
#[serde(default, rename = "systemPrompt")]
pub system_prompt: Option<String>,
#[serde(default, rename = "includeAllMemories")]
pub include_all_memories: Option<bool>,
#[serde(default, rename = "reviewedOnlyFacts")]
pub reviewed_only_facts: Option<bool>,
#[serde(default, rename = "allowAgentCorrections")]
pub allow_agent_corrections: Option<bool>,
}
#[derive(Deserialize)]
pub struct MigrateRequest {
pub personas: Vec<MigratePersona>,
}
#[derive(Deserialize)]
pub struct MigratePersona {
pub id: String,
pub name: String,
#[serde(rename = "systemPrompt")]
pub system_prompt: String,
#[serde(default, rename = "isBuiltIn")]
pub is_built_in: bool,
#[serde(default, rename = "createdAt")]
pub created_at: Option<i64>,
}
#[derive(Serialize)]
pub struct MigrateResponse {
pub inserted: usize,
}
// ---------------------------------------------------------------------------
// Service registration
// ---------------------------------------------------------------------------
pub type PersonaDaoData = web::Data<Mutex<Box<dyn PersonaDao>>>;
pub fn add_persona_services<T>(app: App<T>) -> App<T>
where
T: ServiceFactory<ServiceRequest, Config = (), Error = actix_web::Error, InitError = ()>,
{
app.service(
web::scope("/personas")
.service(web::resource("/migrate").route(web::post().to(migrate_personas)))
.service(
web::resource("")
.route(web::get().to(list_personas))
.route(web::post().to(create_persona)),
)
.service(
web::resource("/{persona_id}")
.route(web::put().to(update_persona))
.route(web::delete().to(delete_persona)),
),
)
}
// ---------------------------------------------------------------------------
// Handlers
// ---------------------------------------------------------------------------
fn user_id_from_claims(claims: &Claims) -> Option<i32> {
claims.sub.parse::<i32>().ok()
}
async fn list_personas(claims: Claims, dao: PersonaDaoData) -> impl Responder {
let Some(uid) = user_id_from_claims(&claims) else {
return HttpResponse::Unauthorized().json(serde_json::json!({"error": "Invalid claims"}));
};
let cx = opentelemetry::Context::current();
let mut dao = dao.lock().expect("Unable to lock PersonaDao");
match dao.list_personas(&cx, uid) {
Ok(rows) => {
let views: Vec<PersonaView> = rows.into_iter().map(PersonaView::from).collect();
HttpResponse::Ok().json(views)
}
Err(e) => {
log::error!("list_personas error: {:?}", e);
HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
}
}
}
async fn create_persona(
claims: Claims,
body: web::Json<CreatePersonaRequest>,
dao: PersonaDaoData,
) -> impl Responder {
let Some(uid) = user_id_from_claims(&claims) else {
return HttpResponse::Unauthorized().json(serde_json::json!({"error": "Invalid claims"}));
};
if body.name.trim().is_empty() {
return HttpResponse::BadRequest().json(serde_json::json!({"error": "name is required"}));
}
if body.system_prompt.trim().is_empty() {
return HttpResponse::BadRequest()
.json(serde_json::json!({"error": "systemPrompt is required"}));
}
let cx = opentelemetry::Context::current();
let mut dao = dao.lock().expect("Unable to lock PersonaDao");
let pid = match body.persona_id.as_deref() {
Some(s) if !s.trim().is_empty() => s.to_string(),
_ => format!("custom-{}", chrono::Utc::now().timestamp_millis()),
};
if matches!(pid.as_str(), "default" | "journal" | "factual") {
return HttpResponse::Conflict()
.json(serde_json::json!({"error": "persona id collides with a built-in"}));
}
// Pre-check existence so we can return 409 cleanly. The DB UNIQUE
// would also catch it, but parsing Diesel's "constraint violation"
// out of a generic DbError is uglier than a quick lookup.
if let Ok(Some(_)) = dao.get_persona(&cx, uid, &pid) {
return HttpResponse::Conflict()
.json(serde_json::json!({"error": "persona already exists"}));
}
match dao.create_persona(
&cx,
uid,
&pid,
&body.name,
&body.system_prompt,
false,
false,
) {
Ok(p) => HttpResponse::Created().json(PersonaView::from(p)),
Err(e) => {
log::error!("create_persona error: {:?}", e);
HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
}
}
}
async fn update_persona(
claims: Claims,
path: web::Path<String>,
body: web::Json<UpdatePersonaRequest>,
dao: PersonaDaoData,
) -> impl Responder {
let Some(uid) = user_id_from_claims(&claims) else {
return HttpResponse::Unauthorized().json(serde_json::json!({"error": "Invalid claims"}));
};
let pid = path.into_inner();
let cx = opentelemetry::Context::current();
let mut dao = dao.lock().expect("Unable to lock PersonaDao");
// Built-in personas are owned by the migration; the canonical voice
// text lives in source. A client renaming or rewriting the prompt
// here would diverge from what new users get seeded with and hide
// the operator's actual customization (their own custom persona)
// from the picker. `include_all_memories` stays editable on
// built-ins — that's a per-user preference, not the persona's
// identity. Mirrors the same guard delete_persona enforces below.
match dao.get_persona(&cx, uid, &pid) {
Ok(Some(p)) if p.is_built_in => {
let editing_identity = body.name.is_some() || body.system_prompt.is_some();
if editing_identity {
return HttpResponse::Conflict().json(serde_json::json!({
"error": "Cannot edit name or systemPrompt of a built-in persona"
}));
}
}
Ok(None) => {
return HttpResponse::NotFound()
.json(serde_json::json!({"error": "Persona not found"}));
}
Err(e) => {
log::error!("update_persona lookup error: {:?}", e);
return HttpResponse::InternalServerError()
.json(serde_json::json!({"error": "Database error"}));
}
Ok(Some(_)) => {}
}
let patch = PersonaPatch {
name: body.name.clone(),
system_prompt: body.system_prompt.clone(),
include_all_memories: body.include_all_memories,
reviewed_only_facts: body.reviewed_only_facts,
allow_agent_corrections: body.allow_agent_corrections,
};
match dao.update_persona(&cx, uid, &pid, patch) {
Ok(Some(p)) => HttpResponse::Ok().json(PersonaView::from(p)),
Ok(None) => {
HttpResponse::NotFound().json(serde_json::json!({"error": "Persona not found"}))
}
Err(e) => {
log::error!("update_persona error: {:?}", e);
HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
}
}
}
async fn delete_persona(
claims: Claims,
path: web::Path<String>,
dao: PersonaDaoData,
) -> impl Responder {
let Some(uid) = user_id_from_claims(&claims) else {
return HttpResponse::Unauthorized().json(serde_json::json!({"error": "Invalid claims"}));
};
let pid = path.into_inner();
let cx = opentelemetry::Context::current();
let mut dao = dao.lock().expect("Unable to lock PersonaDao");
match dao.get_persona(&cx, uid, &pid) {
Ok(Some(p)) if p.is_built_in => {
return HttpResponse::Conflict()
.json(serde_json::json!({"error": "Cannot delete built-in persona"}));
}
Ok(None) => {
return HttpResponse::NotFound()
.json(serde_json::json!({"error": "Persona not found"}));
}
Err(e) => {
log::error!("delete_persona lookup error: {:?}", e);
return HttpResponse::InternalServerError()
.json(serde_json::json!({"error": "Database error"}));
}
Ok(Some(_)) => {}
}
match dao.delete_persona(&cx, uid, &pid) {
Ok(_) => HttpResponse::NoContent().finish(),
Err(e) => {
log::error!("delete_persona error: {:?}", e);
HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
}
}
}
async fn migrate_personas(
claims: Claims,
body: web::Json<MigrateRequest>,
dao: PersonaDaoData,
) -> impl Responder {
let Some(uid) = user_id_from_claims(&claims) else {
return HttpResponse::Unauthorized().json(serde_json::json!({"error": "Invalid claims"}));
};
let cx = opentelemetry::Context::current();
let mut dao = dao.lock().expect("Unable to lock PersonaDao");
// Filter out built-in ids — those are already seeded by the
// migration and re-importing them would be a no-op anyway thanks to
// INSERT OR IGNORE, but skipping early avoids the UNIQUE round-trip.
let now = chrono::Utc::now().timestamp_millis();
let rows: Vec<ImportPersona> = body
.personas
.iter()
.filter(|p| !matches!(p.id.as_str(), "default" | "journal" | "factual"))
.map(|p| ImportPersona {
persona_id: p.id.clone(),
name: p.name.clone(),
system_prompt: p.system_prompt.clone(),
is_built_in: p.is_built_in,
created_at: p.created_at.unwrap_or(now),
})
.collect();
match dao.bulk_import(&cx, uid, &rows) {
Ok(inserted) => HttpResponse::Ok().json(MigrateResponse { inserted }),
Err(e) => {
log::error!("migrate_personas error: {:?}", e);
HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
}
}
}
+41 -3
View File
@@ -10,22 +10,38 @@ use crate::database::{
connect,
};
use crate::database::{PreviewDao, SqlitePreviewDao};
use crate::libraries::{self, Library};
use crate::faces;
use crate::libraries::{self, Library, LibraryHealthMap};
use crate::tags::{SqliteTagDao, TagDao};
use crate::video::actors::{
PlaylistGenerator, PreviewClipGenerator, StreamActor, VideoPlaylistManager,
};
use actix::{Actor, Addr};
use std::env;
use std::sync::{Arc, Mutex};
use std::sync::{Arc, Mutex, RwLock};
pub struct AppState {
pub stream_manager: Arc<Addr<StreamActor>>,
pub playlist_manager: Arc<Addr<VideoPlaylistManager>>,
pub preview_clip_generator: Arc<Addr<PreviewClipGenerator>>,
/// All configured media libraries. Ordered by `id` ascending; the first
/// entry is the primary library.
/// entry is the primary library. Frozen at startup — handlers that
/// only need stable lookup (id → name / root_path) read this. Mutable
/// flags (`enabled`, `excluded_dirs`) reflect their startup values;
/// for live state see [`AppState::live_libraries`].
pub libraries: Vec<Library>,
/// Live view of the libraries table, shared mutably between the
/// watcher (which reads it at the top of each tick to honour the
/// latest `enabled` / `excluded_dirs`) and the PATCH /libraries/{id}
/// handler (which writes it on a successful mutation). The split
/// from [`AppState::libraries`] is deliberate: handlers that only
/// look up by id don't need to take a lock per request.
pub live_libraries: Arc<RwLock<Vec<Library>>>,
/// Per-library availability snapshot. Updated by the file watcher at
/// the top of each tick via `libraries::refresh_health`. HTTP handlers
/// read it (e.g. `/libraries` surfacing). See "Library availability
/// and safety" in CLAUDE.md.
pub library_health: LibraryHealthMap,
/// Legacy shim equal to `libraries[0].root_path`. Phase 2 transitional —
/// new code should go through `primary_library()`.
pub base_path: String,
@@ -105,11 +121,15 @@ impl AppState {
preview_dao,
);
let library_health = libraries::new_health_map(&libraries_vec);
let live_libraries = Arc::new(RwLock::new(libraries_vec.clone()));
Self {
stream_manager,
playlist_manager: Arc::new(video_playlist_manager.start()),
preview_clip_generator: Arc::new(preview_clip_generator.start()),
libraries: libraries_vec,
live_libraries,
library_health,
base_path,
thumbnail_path,
video_path,
@@ -199,6 +219,11 @@ impl Default for AppState {
Arc::new(Mutex::new(Box::new(SqliteTagDao::default())));
let knowledge_dao: Arc<Mutex<Box<dyn KnowledgeDao>>> =
Arc::new(Mutex::new(Box::new(SqliteKnowledgeDao::new())));
let persona_dao: Arc<Mutex<Box<dyn crate::database::PersonaDao>>> = Arc::new(Mutex::new(
Box::new(crate::database::SqlitePersonaDao::new()),
));
let face_dao: Arc<Mutex<Box<dyn faces::FaceDao>>> =
Arc::new(Mutex::new(Box::new(faces::SqliteFaceDao::new())));
// Load base path and ensure the primary library row reflects it.
let base_path = env::var("BASE_PATH").expect("BASE_PATH was not set in the env");
@@ -224,7 +249,9 @@ impl Default for AppState {
location_dao.clone(),
search_dao.clone(),
tag_dao.clone(),
face_dao.clone(),
knowledge_dao,
persona_dao,
libraries_vec.clone(),
);
@@ -341,6 +368,11 @@ impl AppState {
Arc::new(Mutex::new(Box::new(SqliteTagDao::default())));
let knowledge_dao: Arc<Mutex<Box<dyn KnowledgeDao>>> =
Arc::new(Mutex::new(Box::new(SqliteKnowledgeDao::new())));
let persona_dao: Arc<Mutex<Box<dyn crate::database::PersonaDao>>> = Arc::new(Mutex::new(
Box::new(crate::database::SqlitePersonaDao::new()),
));
let face_dao: Arc<Mutex<Box<dyn faces::FaceDao>>> =
Arc::new(Mutex::new(Box::new(faces::SqliteFaceDao::new())));
// Initialize test InsightGenerator with all data sources
let base_path_str = base_path.to_string_lossy().to_string();
@@ -348,6 +380,8 @@ impl AppState {
id: crate::libraries::PRIMARY_LIBRARY_ID,
name: "main".to_string(),
root_path: base_path_str.clone(),
enabled: true,
excluded_dirs: Vec::new(),
};
let insight_generator = InsightGenerator::new(
ollama.clone(),
@@ -361,7 +395,9 @@ impl AppState {
location_dao.clone(),
search_dao.clone(),
tag_dao.clone(),
face_dao.clone(),
knowledge_dao,
persona_dao,
vec![test_lib],
);
@@ -384,6 +420,8 @@ impl AppState {
id: crate::libraries::PRIMARY_LIBRARY_ID,
name: "main".to_string(),
root_path: base_path_str.clone(),
enabled: true,
excluded_dirs: Vec::new(),
}];
AppState::new(
Arc::new(StreamActor {}.start()),
+464 -9
View File
@@ -33,6 +33,11 @@ where
.service(web::resource("image/tags/all").route(web::get().to(get_all_tags::<TagD>)))
.service(web::resource("image/tags/batch").route(web::post().to(update_tags::<TagD>)))
.service(web::resource("image/tags/lookup").route(web::post().to(lookup_tags_batch::<TagD>)))
.service(
web::resource("image/tags/{id}")
.route(web::put().to(update_tag::<TagD>))
.route(web::delete().to(delete_tag::<TagD>)),
)
}
async fn add_tag<D: TagDao>(
@@ -53,7 +58,14 @@ async fn add_tag<D: TagDao>(
tag_dao
.get_all_tags(&span_context, None)
.and_then(|tags| {
if let Some((_, tag)) = tags.iter().find(|t| t.1.name == tag_name) {
// Case-insensitive match. With the unique-NOCASE index on
// tags.name now in place, a case-sensitive find here would
// miss a casing-only collision and let the subsequent
// create_tag INSERT crash on the constraint.
if let Some((_, tag)) = tags
.iter()
.find(|t| t.1.name.eq_ignore_ascii_case(&tag_name))
{
Ok(tag.clone())
} else {
info!(
@@ -71,6 +83,74 @@ async fn add_tag<D: TagDao>(
.into_http_internal_err()
}
async fn update_tag<D: TagDao>(
_: Claims,
http_request: HttpRequest,
path: web::Path<i32>,
body: web::Json<UpdateTagRequest>,
tag_dao: web::Data<Mutex<D>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&http_request);
let span = tracer.start_with_context("update_tag", &context);
let span_context = opentelemetry::Context::current_with_span(span);
let id = path.into_inner();
let trimmed = body.name.trim();
if trimmed.is_empty() {
return HttpResponse::BadRequest()
.json(serde_json::json!({ "error": "Tag name must not be empty" }));
}
let mut tag_dao = tag_dao.lock().expect("Unable to get TagDao");
match tag_dao.update_tag_name(&span_context, id, trimmed) {
Ok(UpdateTagOutcome::Renamed(tag)) => {
span_context.span().set_status(Status::Ok);
info!("Renamed tag {} -> '{}'", id, trimmed);
HttpResponse::Ok().json(tag)
}
Ok(UpdateTagOutcome::NotFound) => {
HttpResponse::NotFound().json(serde_json::json!({ "error": "Tag not found" }))
}
Ok(UpdateTagOutcome::Conflict { existing }) => HttpResponse::Conflict().json(
serde_json::json!({ "error": "Tag name already exists", "existing_tag": existing }),
),
Err(e) => {
log::error!("update_tag failed: {:?}", e);
HttpResponse::InternalServerError()
.json(serde_json::json!({ "error": "Update failed" }))
}
}
}
async fn delete_tag<D: TagDao>(
_: Claims,
http_request: HttpRequest,
path: web::Path<i32>,
tag_dao: web::Data<Mutex<D>>,
) -> impl Responder {
let tracer = global_tracer();
let context = extract_context_from_request(&http_request);
let span = tracer.start_with_context("delete_tag", &context);
let span_context = opentelemetry::Context::current_with_span(span);
let id = path.into_inner();
let mut tag_dao = tag_dao.lock().expect("Unable to get TagDao");
match tag_dao.delete_tag(&span_context, id) {
Ok(true) => {
span_context.span().set_status(Status::Ok);
info!("Deleted tag {}", id);
HttpResponse::NoContent().finish()
}
Ok(false) => HttpResponse::NotFound().json(serde_json::json!({ "error": "Tag not found" })),
Err(e) => {
log::error!("delete_tag failed: {:?}", e);
HttpResponse::InternalServerError()
.json(serde_json::json!({ "error": "Delete failed" }))
}
}
}
async fn get_tags<D: TagDao>(
_: Claims,
http_request: HttpRequest,
@@ -284,9 +364,15 @@ async fn lookup_tags_batch<D: TagDao>(
// Stage 1: query → content_hash mapping. Files without a hash yet
// (just-indexed, hash compute failed, etc.) skip the sibling
// expansion and only get tags from their own rel_path.
// Library-agnostic by design: this endpoint takes raw rel_paths from
// the client (typically Apollo) with no library context. Span all
// libraries and let the hash-keyed sibling expansion below do the
// disambiguation. Same-rel_path/different-content collisions across
// libraries surface as multiple hashes for one path — fine, we union
// every sibling tag set.
let exif_records = {
let mut dao = exif_dao.lock().expect("Unable to get ExifDao");
match dao.get_exif_batch(&span_context, &query_paths) {
match dao.get_exif_batch(&span_context, None, &query_paths) {
Ok(rows) => rows,
Err(e) => {
return HttpResponse::InternalServerError()
@@ -421,6 +507,11 @@ pub struct InsertTaggedPhoto {
#[diesel(column_name = rel_path)]
pub photo_name: String,
pub created_time: i64,
/// Hash-keyed identity. The DAO populates this from
/// `image_exif.content_hash` at insert time when known; the
/// reconciliation pass backfills rows inserted before the hash
/// landed. See CLAUDE.md "Multi-library data model".
pub content_hash: Option<String>,
}
#[derive(Queryable, Clone, Debug)]
@@ -434,6 +525,8 @@ pub struct TaggedPhoto {
pub tag_id: i32,
#[allow(dead_code)] // Part of API contract
pub created_time: i64,
#[allow(dead_code)]
pub content_hash: Option<String>,
}
#[derive(Debug, Deserialize)]
@@ -442,6 +535,22 @@ pub struct AddTagsRequest {
pub tag_ids: Vec<i32>,
}
#[derive(Debug, Deserialize)]
pub struct UpdateTagRequest {
pub name: String,
}
/// Result of an attempted tag rename. Returning a typed outcome (rather
/// than `anyhow::Result<Tag>`) lets the handler map each case to a
/// distinct HTTP status without sniffing error strings, and keeps the
/// 409 path a normal control-flow result instead of a DB constraint
/// violation surfacing as a generic 500.
pub enum UpdateTagOutcome {
Renamed(Tag),
NotFound,
Conflict { existing: Tag },
}
pub trait TagDao: Send + Sync {
fn get_all_tags(
&mut self,
@@ -511,6 +620,26 @@ pub trait TagDao: Send + Sync {
context: &opentelemetry::Context,
file_paths: &[String],
) -> anyhow::Result<std::collections::HashMap<String, i64>>;
/// Rename a tag in place. The tag id stays stable so existing
/// `tagged_photo` rows automatically reflect the new name without
/// a join-table rewrite. Conflict is resolved against the rest of
/// the table case-insensitively (mirroring the
/// `idx_tags_name_nocase` UNIQUE index) — a rename that changes
/// only the case of the tag's own current name is allowed.
fn update_tag_name(
&mut self,
context: &opentelemetry::Context,
id: i32,
new_name: &str,
) -> anyhow::Result<UpdateTagOutcome>;
/// Globally remove a tag and every `tagged_photo` row that
/// references it. Returns `true` if a tag was deleted, `false` if
/// no row matched the id. The schema's FK is `ON DELETE CASCADE`
/// but SQLite only honors that with `PRAGMA foreign_keys = ON`,
/// which this project doesn't set — the impl deletes both tables
/// explicitly in a single transaction so partial state is
/// impossible.
fn delete_tag(&mut self, context: &opentelemetry::Context, id: i32) -> anyhow::Result<bool>;
}
pub struct SqliteTagDao {
@@ -704,6 +833,83 @@ impl TagDao for SqliteTagDao {
})
}
fn update_tag_name(
&mut self,
context: &opentelemetry::Context,
id: i32,
new_name: &str,
) -> anyhow::Result<UpdateTagOutcome> {
let mut conn = self
.connection
.lock()
.expect("Unable to lock SqliteTagDao connection");
trace_db_call(context, "update", "update_tag_name", |span| {
span.set_attributes(vec![
KeyValue::new("tag_id", id as i64),
KeyValue::new("new_name", new_name.to_string()),
]);
let target = tags::table
.filter(tags::id.eq(id))
.select((tags::id, tags::name, tags::created_time))
.get_result::<Tag>(conn.deref_mut())
.optional()
.with_context(|| format!("Unable to look up tag id {}", id))?;
let target = match target {
Some(t) => t,
None => return Ok(UpdateTagOutcome::NotFound),
};
// Case-insensitive collision check on every other row.
// Belt-and-suspenders: idx_tags_name_nocase enforces this at
// the index level, but checking up front gives the handler
// a clean 409 with the existing tag's id instead of a
// generic constraint-violation 500. Tags table is small;
// loading peers and comparing in Rust avoids a fragile
// dsl::sql composition for case-insensitive equality.
let conflict = tags::table
.filter(tags::id.ne(id))
.select((tags::id, tags::name, tags::created_time))
.get_results::<Tag>(conn.deref_mut())
.with_context(|| "Unable to query for tag-name conflict")?
.into_iter()
.find(|t| t.name.eq_ignore_ascii_case(new_name));
if let Some(existing) = conflict {
return Ok(UpdateTagOutcome::Conflict { existing });
}
diesel::update(tags::table.filter(tags::id.eq(id)))
.set(tags::name.eq(new_name))
.execute(conn.deref_mut())
.with_context(|| format!("Unable to rename tag {}", id))?;
Ok(UpdateTagOutcome::Renamed(Tag {
id: target.id,
name: new_name.to_string(),
created_time: target.created_time,
}))
})
}
fn delete_tag(&mut self, context: &opentelemetry::Context, id: i32) -> anyhow::Result<bool> {
let mut conn = self
.connection
.lock()
.expect("Unable to lock SqliteTagDao connection");
trace_db_call(context, "delete", "delete_tag", |span| {
span.set_attribute(KeyValue::new("tag_id", id as i64));
// tagged_photo.tag_id is `ON DELETE CASCADE` and the
// connection now sets `PRAGMA foreign_keys = ON`, so a
// single DELETE on tags removes its tagged_photo rows
// atomically.
let removed = diesel::delete(tags::table.filter(tags::id.eq(id)))
.execute(conn.deref_mut())
.with_context(|| format!("Unable to delete tag {}", id))?;
Ok(removed > 0)
})
}
fn remove_tag(
&mut self,
context: &opentelemetry::Context,
@@ -759,11 +965,31 @@ impl TagDao for SqliteTagDao {
KeyValue::new("tag_id", tag_id.to_string()),
]);
// Eagerly populate content_hash so this tag follows the bytes,
// not the path (see CLAUDE.md "Multi-library data model").
// None is fine — the reconciliation pass will backfill once
// image_exif has a hash for this file. We deliberately don't
// require library_id here: the tag handler is library-
// agnostic by design, and any matching image_exif row's hash
// is acceptable. If the path resolves to different bytes in
// different libraries, reconciliation per-library refines.
let content_hash: Option<String> = {
use crate::database::schema::image_exif as ie;
ie::table
.filter(ie::rel_path.eq(path))
.filter(ie::content_hash.is_not_null())
.select(ie::content_hash)
.first::<Option<String>>(conn.deref_mut())
.ok()
.flatten()
};
diesel::insert_into(tagged_photo::table)
.values(InsertTaggedPhoto {
tag_id,
photo_name: path.to_string(),
created_time: Utc::now().timestamp(),
content_hash,
})
.execute(conn.deref_mut())
.with_context(|| format!("Unable to tag file {:?} in sqlite", path))
@@ -1168,6 +1394,7 @@ mod tests {
tag_id: tag.id,
created_time: Utc::now().timestamp(),
photo_name: path.to_string(),
content_hash: None,
};
if self.tagged_photos.borrow().contains_key(path) {
@@ -1238,6 +1465,54 @@ mod tests {
}
Ok(counts)
}
fn update_tag_name(
&mut self,
_context: &opentelemetry::Context,
id: i32,
new_name: &str,
) -> anyhow::Result<UpdateTagOutcome> {
// Conflict pass first so the target tag's own old name
// doesn't collide with itself.
let conflict = self
.tags
.borrow()
.iter()
.find(|t| t.id != id && t.name.eq_ignore_ascii_case(new_name))
.cloned();
if let Some(existing) = conflict {
return Ok(UpdateTagOutcome::Conflict { existing });
}
let mut tags = self.tags.borrow_mut();
match tags.iter_mut().find(|t| t.id == id) {
Some(t) => {
t.name = new_name.to_string();
Ok(UpdateTagOutcome::Renamed(t.clone()))
}
None => Ok(UpdateTagOutcome::NotFound),
}
}
fn delete_tag(
&mut self,
_context: &opentelemetry::Context,
id: i32,
) -> anyhow::Result<bool> {
let target_name = {
let tags = self.tags.borrow();
tags.iter().find(|t| t.id == id).map(|t| t.name.clone())
};
let Some(name) = target_name else {
return Ok(false);
};
// Mirror the cascade: drop any tagged_photo references, then
// remove the tag itself.
for (_path, tags) in self.tagged_photos.borrow_mut().iter_mut() {
tags.retain(|t| t.id != id && t.name != name);
}
self.tags.borrow_mut().retain(|t| t.id != id);
Ok(true)
}
}
#[actix_rt::test]
@@ -1253,20 +1528,29 @@ mod tests {
// Seed: two paths tagged, one path untagged.
dao.tagged_photos.borrow_mut().insert(
"a.jpg".into(),
vec![Tag { id: 1, name: "alpha".into(), created_time: 0 }],
vec![Tag {
id: 1,
name: "alpha".into(),
created_time: 0,
}],
);
dao.tagged_photos.borrow_mut().insert(
"b.jpg".into(),
vec![
Tag { id: 2, name: "beta".into(), created_time: 0 },
Tag { id: 3, name: "gamma".into(), created_time: 0 },
Tag {
id: 2,
name: "beta".into(),
created_time: 0,
},
Tag {
id: 3,
name: "gamma".into(),
created_time: 0,
},
],
);
let grouped = dao
.get_tags_grouped_by_paths(
&ctx,
&["a.jpg".into(), "b.jpg".into(), "c.jpg".into()],
)
.get_tags_grouped_by_paths(&ctx, &["a.jpg".into(), "b.jpg".into(), "c.jpg".into()])
.unwrap();
assert_eq!(grouped.get("a.jpg").map(|v| v.len()), Some(1));
assert_eq!(grouped.get("b.jpg").map(|v| v.len()), Some(2));
@@ -1381,6 +1665,177 @@ mod tests {
None
);
}
async fn rename_tag(
dao: &Data<Mutex<TestTagDao>>,
id: i32,
new_name: &str,
) -> actix_web::http::StatusCode {
use actix_web::Responder;
let req = TestRequest::default().to_http_request();
let body = web::Json(UpdateTagRequest {
name: new_name.to_string(),
});
let claims = Claims::valid_user(String::from("1"));
let resp = update_tag(claims, req.clone(), web::Path::from(id), body, dao.clone()).await;
resp.respond_to(&req).status()
}
#[actix_rt::test]
async fn update_tag_renames_successfully() {
let mut dao = TestTagDao::new();
let tag = dao
.create_tag(&opentelemetry::Context::current(), "old")
.unwrap();
let dao = Data::new(Mutex::new(dao));
assert_eq!(
rename_tag(&dao, tag.id, "new").await,
actix_web::http::StatusCode::OK
);
let mut locked = dao.lock().unwrap();
let all = locked
.get_all_tags(&opentelemetry::Context::current(), None)
.unwrap();
assert_eq!(all.len(), 1);
assert_eq!(all[0].1.name, "new");
}
#[actix_rt::test]
async fn update_tag_not_found_returns_404() {
let dao = Data::new(Mutex::new(TestTagDao::new()));
assert_eq!(
rename_tag(&dao, 99999, "nope").await,
actix_web::http::StatusCode::NOT_FOUND
);
}
#[actix_rt::test]
async fn update_tag_empty_name_returns_400() {
let mut dao = TestTagDao::new();
let tag = dao
.create_tag(&opentelemetry::Context::current(), "keep")
.unwrap();
let dao = Data::new(Mutex::new(dao));
assert_eq!(
rename_tag(&dao, tag.id, " ").await,
actix_web::http::StatusCode::BAD_REQUEST
);
let mut locked = dao.lock().unwrap();
let all = locked
.get_all_tags(&opentelemetry::Context::current(), None)
.unwrap();
assert_eq!(all[0].1.name, "keep", "name must not change on 400");
}
#[actix_rt::test]
async fn update_tag_conflict_returns_409() {
let mut dao = TestTagDao::new();
let _a = dao
.create_tag(&opentelemetry::Context::current(), "a")
.unwrap();
let b = dao
.create_tag(&opentelemetry::Context::current(), "b")
.unwrap();
let dao = Data::new(Mutex::new(dao));
// Case-insensitive collision: renaming b -> "A" must conflict with a.
assert_eq!(
rename_tag(&dao, b.id, "A").await,
actix_web::http::StatusCode::CONFLICT
);
let mut locked = dao.lock().unwrap();
let all = locked
.get_all_tags(&opentelemetry::Context::current(), None)
.unwrap();
let b_after = all.iter().find(|(_, t)| t.id == b.id).unwrap();
assert_eq!(b_after.1.name, "b", "no DB change on 409");
}
async fn delete_via_handler(
dao: &Data<Mutex<TestTagDao>>,
id: i32,
) -> actix_web::http::StatusCode {
use actix_web::Responder;
let req = TestRequest::default().to_http_request();
let claims = Claims::valid_user(String::from("1"));
let resp = delete_tag(claims, req.clone(), web::Path::from(id), dao.clone()).await;
resp.respond_to(&req).status()
}
#[actix_rt::test]
async fn delete_tag_removes_tag_and_cascades_tagged_photos() {
let mut dao = TestTagDao::new();
let tag = dao
.create_tag(&opentelemetry::Context::current(), "doomed")
.unwrap();
dao.tag_file(&opentelemetry::Context::current(), "a.jpg", tag.id)
.unwrap();
dao.tag_file(&opentelemetry::Context::current(), "b.jpg", tag.id)
.unwrap();
let dao = Data::new(Mutex::new(dao));
assert_eq!(
delete_via_handler(&dao, tag.id).await,
actix_web::http::StatusCode::NO_CONTENT
);
let mut locked = dao.lock().unwrap();
assert!(
locked
.get_all_tags(&opentelemetry::Context::current(), None)
.unwrap()
.is_empty()
);
assert!(
locked
.get_tags_for_path(&opentelemetry::Context::current(), "a.jpg")
.unwrap()
.is_empty(),
"tagged_photo references must be cleaned up by the cascade"
);
assert!(
locked
.get_tags_for_path(&opentelemetry::Context::current(), "b.jpg")
.unwrap()
.is_empty()
);
}
#[actix_rt::test]
async fn delete_tag_unknown_id_returns_404() {
let dao = Data::new(Mutex::new(TestTagDao::new()));
assert_eq!(
delete_via_handler(&dao, 99999).await,
actix_web::http::StatusCode::NOT_FOUND
);
}
#[actix_rt::test]
async fn update_tag_case_only_change_succeeds() {
let mut dao = TestTagDao::new();
let tag = dao
.create_tag(&opentelemetry::Context::current(), "vacation")
.unwrap();
let dao = Data::new(Mutex::new(dao));
// The conflict check excludes the target's own row, so changing
// only the case of the tag's current name must succeed.
assert_eq!(
rename_tag(&dao, tag.id, "Vacation").await,
actix_web::http::StatusCode::OK
);
let mut locked = dao.lock().unwrap();
let all = locked
.get_all_tags(&opentelemetry::Context::current(), None)
.unwrap();
assert_eq!(all[0].1.name, "Vacation");
}
}
#[derive(QueryableByName, Debug, Clone)]
pub struct FileWithTagCount {
+275
View File
@@ -0,0 +1,275 @@
//! Thumbnail generation + the media-count Prometheus gauges.
//!
//! Startup and per-tick scans walk each library and produce a 200×200
//! thumbnail under `THUMBNAILS/<library_id>/<rel_path>`, falling through
//! a fast path (`image` crate), a RAW-preview path (`exif::extract_embedded_jpeg_preview`),
//! and ffmpeg for video / HEIF / NEF / ARW. Files that fail every
//! decoder get a sibling `.unsupported` sentinel so subsequent scans
//! skip them silently.
use std::path::{Path, PathBuf};
use lazy_static::lazy_static;
use log::{debug, error, info, warn};
use opentelemetry::{
KeyValue,
trace::{Span, TraceContextExt, Tracer},
};
use prometheus::IntGauge;
use rayon::prelude::*;
use walkdir::DirEntry;
use crate::content_hash;
use crate::exif;
use crate::file_types;
use crate::libraries;
use crate::otel::global_tracer;
use crate::video::actors::{generate_image_thumbnail_ffmpeg, generate_video_thumbnail};
lazy_static! {
pub static ref IMAGE_GAUGE: IntGauge = IntGauge::new(
"imageserver_image_total",
"Count of the images on the server"
)
.unwrap();
pub static ref VIDEO_GAUGE: IntGauge = IntGauge::new(
"imageserver_video_total",
"Count of the videos on the server"
)
.unwrap();
}
/// Sentinel path written next to a would-be thumbnail when a file cannot be
/// decoded by either the `image` crate or ffmpeg. Its presence causes future
/// scans to skip the file instead of re-logging the failure.
pub fn unsupported_thumbnail_sentinel(thumb_path: &Path) -> PathBuf {
let mut s = thumb_path.as_os_str().to_owned();
s.push(".unsupported");
PathBuf::from(s)
}
pub fn generate_image_thumbnail(src: &Path, thumb_path: &Path) -> std::io::Result<()> {
// The `image` crate doesn't auto-apply EXIF Orientation on load, and
// saving back out as JPEG drops EXIF entirely — so without baking the
// rotation into the pixels here, browsers see the raw landscape buffer
// of a portrait phone shot and render it sideways. Read once up front
// and apply to whichever decode branch we end up taking.
let orientation = exif::read_orientation(src).unwrap_or(1);
// RAW formats (ARW/NEF/CR2/etc): try the file's embedded JPEG preview
// first. Avoids ffmpeg choking on proprietary RAW compression (Sony ARW
// in particular), and is faster than decoding RAW pixels anyway.
if let Some(preview) = exif::extract_embedded_jpeg_preview(src) {
let img = image::load_from_memory(&preview).map_err(|e| {
std::io::Error::new(
std::io::ErrorKind::InvalidData,
format!("decode embedded preview {:?}: {}", src, e),
)
})?;
let img = exif::apply_orientation(img, orientation);
let scaled = img.thumbnail(200, u32::MAX);
scaled
.save_with_format(thumb_path, image::ImageFormat::Jpeg)
.map_err(|e| std::io::Error::other(format!("save {:?}: {}", thumb_path, e)))?;
return Ok(());
}
if file_types::needs_ffmpeg_thumbnail(src) {
return generate_image_thumbnail_ffmpeg(src, thumb_path);
}
let img = image::open(src).map_err(|e| {
std::io::Error::new(std::io::ErrorKind::InvalidData, format!("{:?}: {}", src, e))
})?;
let img = exif::apply_orientation(img, orientation);
let scaled = img.thumbnail(200, u32::MAX);
scaled
.save(thumb_path)
.map_err(|e| std::io::Error::other(format!("save {:?}: {}", thumb_path, e)))?;
Ok(())
}
pub fn create_thumbnails(libs: &[libraries::Library], excluded_dirs: &[String]) {
let tracer = global_tracer();
let span = tracer.start("creating thumbnails");
let thumbs = &dotenv::var("THUMBNAILS").expect("THUMBNAILS not defined");
let thumbnail_directory: &Path = Path::new(thumbs);
for lib in libs {
info!(
"Scanning thumbnails for library '{}' at {}",
lib.name, lib.root_path
);
let images = PathBuf::from(&lib.root_path);
// Effective excludes = global env-var excludes library row's
// excluded_dirs. Lets a parent-library mount skip the subtree
// already covered by a child library.
let effective_excludes = lib.effective_excluded_dirs(excluded_dirs);
// Prune EXCLUDED_DIRS so we don't generate thumbnails-of-thumbnails
// for Synology @eaDir trees. file_scan handles filter_entry pruning.
crate::file_scan::walk_library_files(&images, &effective_excludes)
.into_par_iter()
.for_each(|entry| {
let src = entry.path();
let Ok(relative_path) = src.strip_prefix(&images) else {
return;
};
// Library-scoped legacy path: prevents two libraries with
// the same rel_path from clobbering each other's thumbs.
// Hash-keyed promotion happens lazily on first hash-aware
// request — keeping this loop ExifDao-free preserves the
// current "cargo build && go" startup story.
let thumb_path = content_hash::library_scoped_legacy_path(
thumbnail_directory,
lib.id,
relative_path,
);
let bare_legacy = thumbnail_directory.join(relative_path);
// Backwards-compat check: if a single-library install has a
// bare-legacy thumb here already, accept it as present.
// Same for the sentinel. Means we don't redo work after
// upgrade and we don't leave stale duplicates around.
if thumb_path.exists()
|| bare_legacy.exists()
|| unsupported_thumbnail_sentinel(&thumb_path).exists()
|| unsupported_thumbnail_sentinel(&bare_legacy).exists()
{
return;
}
let Some(parent) = thumb_path.parent() else {
return;
};
if let Err(e) = std::fs::create_dir_all(parent) {
error!("Failed to create thumbnail dir {:?}: {}", parent, e);
return;
}
if is_video(&entry) {
let mut video_span = tracer.start_with_context(
"generate_video_thumbnail",
&opentelemetry::Context::new()
.with_remote_span_context(span.span_context().clone()),
);
video_span.set_attributes(vec![
KeyValue::new("type", "video"),
KeyValue::new("file-name", thumb_path.display().to_string()),
KeyValue::new("library", lib.name.clone()),
]);
debug!("Generating video thumbnail: {:?}", thumb_path);
if let Err(e) = generate_video_thumbnail(src, &thumb_path) {
let sentinel = unsupported_thumbnail_sentinel(&thumb_path);
error!(
"Unable to thumbnail video {:?}: {}. Writing sentinel {:?}",
src, e, sentinel
);
if let Err(se) = std::fs::write(&sentinel, b"") {
warn!("Failed to write sentinel {:?}: {}", sentinel, se);
}
}
video_span.end();
} else if is_image(&entry) {
match generate_image_thumbnail(src, &thumb_path) {
Ok(_) => info!("Saved thumbnail: {:?}", thumb_path),
Err(e) => {
let sentinel = unsupported_thumbnail_sentinel(&thumb_path);
error!(
"Unable to thumbnail {:?}: {}. Writing sentinel {:?}",
src, e, sentinel
);
if let Err(se) = std::fs::write(&sentinel, b"") {
warn!("Failed to write sentinel {:?}: {}", sentinel, se);
}
}
}
}
});
}
debug!("Finished making thumbnails");
for lib in libs {
let effective_excludes = lib.effective_excluded_dirs(excluded_dirs);
update_media_counts(Path::new(&lib.root_path), &effective_excludes);
}
}
pub fn update_media_counts(media_dir: &Path, excluded_dirs: &[String]) {
let mut image_count = 0;
let mut video_count = 0;
for entry in crate::file_scan::walk_library_files(media_dir, excluded_dirs) {
if is_image(&entry) {
image_count += 1;
} else if is_video(&entry) {
video_count += 1;
}
}
IMAGE_GAUGE.set(image_count);
VIDEO_GAUGE.set(video_count);
}
pub fn is_image(entry: &DirEntry) -> bool {
file_types::direntry_is_image(entry)
}
pub fn is_video(entry: &DirEntry) -> bool {
file_types::direntry_is_video(entry)
}
#[cfg(test)]
mod tests {
use super::*;
use std::fs;
use tempfile::TempDir;
#[test]
fn unsupported_thumbnail_sentinel_appends_suffix() {
let p = Path::new("/thumbs/lib1/photo.jpg");
let s = unsupported_thumbnail_sentinel(p);
assert_eq!(s, PathBuf::from("/thumbs/lib1/photo.jpg.unsupported"));
}
#[test]
fn unsupported_thumbnail_sentinel_preserves_extension_so_existing_thumb_is_distinct() {
// A future scan checks both `thumb.exists()` and
// `sentinel.exists()` — they must be distinct paths.
let p = Path::new("foo.jpeg");
let s = unsupported_thumbnail_sentinel(p);
assert_ne!(s, PathBuf::from("foo.jpeg"));
assert!(s.to_string_lossy().ends_with(".unsupported"));
}
#[test]
fn unsupported_thumbnail_sentinel_handles_paths_without_extension() {
let p = Path::new("/thumbs/notes");
let s = unsupported_thumbnail_sentinel(p);
assert_eq!(s, PathBuf::from("/thumbs/notes.unsupported"));
}
/// Smoke-test update_media_counts: build a tempdir with two images
/// and one video, run the walker, and assert the gauges line up.
/// Exercises the is_image / is_video classifier on real DirEntry
/// values without needing a Prometheus registry.
#[test]
fn update_media_counts_counts_images_and_videos_in_tempdir() {
let tmp = TempDir::new().expect("tempdir");
fs::write(tmp.path().join("a.jpg"), b"").unwrap();
fs::write(tmp.path().join("b.png"), b"").unwrap();
fs::write(tmp.path().join("c.mp4"), b"").unwrap();
fs::write(tmp.path().join("notes.txt"), b"").unwrap();
// Reset gauges first in case another test mutated them — the
// gauges are process-global statics.
IMAGE_GAUGE.set(0);
VIDEO_GAUGE.set(0);
update_media_counts(tmp.path(), &[]);
assert_eq!(IMAGE_GAUGE.get(), 2, "jpg + png");
assert_eq!(VIDEO_GAUGE.get(), 1, "mp4");
}
}
+52 -9
View File
@@ -1,8 +1,8 @@
use crate::database::PreviewDao;
use crate::is_video;
use crate::libraries::Library;
use crate::otel::global_tracer;
use crate::video::ffmpeg::generate_preview_clip;
use crate::thumbnails::is_video;
use crate::video::ffmpeg::{generate_preview_clip, get_duration_seconds_blocking};
use actix::prelude::*;
use log::{debug, error, info, trace, warn};
use opentelemetry::KeyValue;
@@ -107,19 +107,62 @@ pub async fn create_playlist(video_path: &str, playlist_file: &str) -> Result<Ch
result
}
pub fn generate_video_thumbnail(path: &Path, destination: &Path) {
Command::new("ffmpeg")
.arg("-ss")
.arg("3")
pub fn generate_video_thumbnail(path: &Path, destination: &Path) -> std::io::Result<()> {
// Probe duration up front and seek to ~50% — gives a more
// representative frame than a fixed offset (skipping title cards on
// long videos, landing inside the clip on 12s Snapchat MP4s) and
// sidesteps the seek-past-EOF class of bug entirely. When duration
// probing fails (LRV files, fragmented MP4s, ffprobe missing) fall
// back to the first frame: ugly but reliable.
//
// -vf scale + -c:v mjpeg mirrors `generate_image_thumbnail_ffmpeg`. The
// filter chain matters as much as the scale does: without it, ffmpeg
// hands the decoded frame straight to the mjpeg encoder, which rejects
// any non-yuvj420p source ("Non full-range YUV is non-standard"). The
// filter chain lets ffmpeg auto-insert the pix_fmt converter the
// encoder needs, which is how the image-thumbnail path already handles
// the same class of source.
let seek = get_duration_seconds_blocking(path).map(|d| format!("{:.3}", d / 2.0));
let mut cmd = Command::new("ffmpeg");
cmd.arg("-y");
if let Some(s) = &seek {
cmd.arg("-ss").arg(s);
}
let output = cmd
.arg("-i")
.arg(path.to_str().unwrap())
.arg(path)
.arg("-vframes")
.arg("1")
.arg("-vf")
.arg("scale=200:-1")
.arg("-f")
.arg("image2")
.arg("-c:v")
.arg("mjpeg")
.arg(destination)
.output()
.expect("Failure to create video frame");
.output()?;
if !output.status.success() {
return Err(std::io::Error::other(format!(
"ffmpeg failed ({}): {}",
output.status,
String::from_utf8_lossy(&output.stderr).trim()
)));
}
// ffmpeg can exit 0 without writing a frame for malformed files where
// the probe duration lies. Confirm a non-empty file actually landed —
// returning Err makes the caller write the `.unsupported` sentinel so
// we stop re-detecting on every scan.
let wrote = std::fs::metadata(destination)
.map(|m| m.len() > 0)
.unwrap_or(false);
if !wrote {
return Err(std::io::Error::other(
"ffmpeg exited successfully but produced no thumbnail output",
));
}
Ok(())
}
/// Use ffmpeg to extract a 200px-wide thumbnail from formats the `image` crate
+173 -41
View File
@@ -223,20 +223,83 @@ impl Ffmpeg {
}
/// Get video duration in seconds as f64 for precise interval calculation.
async fn get_duration_seconds(input_file: &str) -> Result<f64> {
Command::new("ffprobe")
.args(["-i", input_file])
.args(["-show_entries", "format=duration"])
///
/// Returns `Ok(None)` when ffprobe runs successfully but the container has no
/// readable duration (notably GoPro `LRV` low-res preview files, some
/// fragmented MP4s, and short Snapchat clips with stripped headers). Callers
/// can fall back to a duration-agnostic encode rather than treating this as
/// a hard failure — previously the `parse::<f64>` on empty stdout produced
/// "cannot parse float from empty string" and poisoned the preview-clip row
/// with status=failed, which the watcher would re-queue every full scan.
async fn get_duration_seconds(input_file: &str) -> Result<Option<f64>> {
if let Some(d) = probe_duration(input_file, "format=duration").await? {
return Ok(Some(d));
}
// Fall back to the per-stream duration — populated for some MP4s where
// the format-level duration tag is missing.
probe_duration(input_file, "stream=duration").await
}
/// Synchronous cousin of `get_duration_seconds`, for callers running on
/// blocking thread pools (Rayon). Same fallback strategy: tries
/// `format=duration`, then `stream=duration`. Returns `None` for any
/// failure — ffprobe missing, container without a duration tag, parse
/// error — so callers can pick a duration-agnostic default.
pub fn get_duration_seconds_blocking(input_file: &std::path::Path) -> Option<f64> {
if let Some(d) = probe_duration_blocking(input_file, "format=duration") {
return Some(d);
}
probe_duration_blocking(input_file, "stream=duration")
}
fn probe_duration_blocking(input_file: &std::path::Path, show_entries: &str) -> Option<f64> {
let out = std::process::Command::new("ffprobe")
.args(["-v", "quiet"])
.args(["-show_entries", show_entries])
.args(["-of", "csv=p=0"])
.arg("-i")
.arg(input_file)
.output()
.await
.map(|out| String::from_utf8_lossy(&out.stdout).trim().to_string())
.and_then(|duration_str| {
duration_str
.parse::<f64>()
.map_err(|e| std::io::Error::other(e.to_string()))
})
.ok()?;
let raw = String::from_utf8_lossy(&out.stdout);
parse_ffprobe_duration(&raw)
}
async fn probe_duration(input_file: &str, show_entries: &str) -> Result<Option<f64>> {
let out = Command::new("ffprobe")
.args(["-v", "quiet"])
.args(["-show_entries", show_entries])
.args(["-of", "csv=p=0"])
.args(["-i", input_file])
.output()
.await?;
let raw = String::from_utf8_lossy(&out.stdout);
Ok(parse_ffprobe_duration(&raw))
}
/// Parse ffprobe's `csv=p=0` duration output. Returns the first valid
/// positive finite duration, or `None` when there isn't one.
///
/// Stream-level queries (`-show_entries stream=duration`) emit one value per
/// stream, one per line; format-level queries emit a single line. The shape
/// also varies — `N/A` for streams without a known duration, empty string
/// for containers without the tag at all, and (rarely) `0`/`-1` for
/// fragmented MP4s. All of those have to map to `None` so the caller can
/// fall back to a duration-agnostic encode.
fn parse_ffprobe_duration(stdout: &str) -> Option<f64> {
for line in stdout.lines() {
let trimmed = line.trim();
if trimmed.is_empty() || trimmed == "N/A" {
continue;
}
if let Ok(d) = trimmed.parse::<f64>()
&& d.is_finite()
&& d > 0.0
{
return Some(d);
}
}
None
}
/// Generate a preview clip from a video file.
@@ -268,28 +331,39 @@ pub async fn generate_preview_clip(input_file: &str, output_file: &str) -> Resul
cmd.arg("-i").arg(input_file);
if duration < 1.0 {
// Very short video (<1s): transcode the whole thing to 480p MP4
// format=yuv420p ensures 10-bit sources are converted to 8-bit for h264_nvenc
cmd.args(["-vf", "scale=-2:480,format=yuv420p"]);
} else {
let segment_count = if duration < 10.0 {
duration.floor() as u32
} else {
10
};
let interval = duration / segment_count as f64;
// format=yuv420p ensures 10-bit sources are converted to 8-bit for h264_nvenc
let vf = format!(
"select='lt(mod(t,{:.4}),1)',setpts=N/FRAME_RATE/TB,fps=30,scale=-2:480,format=yuv420p",
interval
);
let af = format!("aselect='lt(mod(t,{:.4}),1)',asetpts=N/SR/TB", interval);
cmd.args(["-vf", &vf]);
cmd.args(["-af", &af]);
}
// Branch on duration. `None` means ffprobe couldn't tell us — we treat
// it like the <1s case and just transcode the whole file. The selected
// clip-duration we report back is computed alongside, so callers don't
// need to re-probe.
let clip_duration = match duration {
None => {
warn!(
"Unknown duration for '{}', transcoding whole file as preview",
input_file
);
cmd.args(["-vf", "scale=-2:480,format=yuv420p"]);
// Cap the encode at 10s so a long video with stripped duration
// metadata doesn't spend forever generating a "preview".
cmd.args(["-t", "10"]);
10.0
}
Some(d) if d < 1.0 => {
cmd.args(["-vf", "scale=-2:480,format=yuv420p"]);
d
}
Some(d) => {
let segment_count = if d < 10.0 { d.floor() as u32 } else { 10 };
let interval = d / segment_count as f64;
let vf = format!(
"select='lt(mod(t,{:.4}),1)',setpts=N/FRAME_RATE/TB,fps=30,scale=-2:480,format=yuv420p",
interval
);
let af = format!("aselect='lt(mod(t,{:.4}),1)',asetpts=N/SR/TB", interval);
cmd.args(["-vf", &vf]);
cmd.args(["-af", &af]);
if d < 10.0 { d.floor() } else { 10.0 }
}
};
// Force 30fps output so high-framerate sources (60fps) don't play back
// at double speed due to select/setpts timestamp mismatches.
@@ -320,14 +394,6 @@ pub async fn generate_preview_clip(input_file: &str, output_file: &str) -> Resul
let metadata = std::fs::metadata(output_file)?;
let file_size = metadata.len();
let clip_duration = if duration < 1.0 {
duration
} else if duration < 10.0 {
duration.floor()
} else {
10.0
};
info!(
"Generated preview clip '{}' ({:.1}s, {} bytes) in {:?}",
output_file,
@@ -338,3 +404,69 @@ pub async fn generate_preview_clip(input_file: &str, output_file: &str) -> Resul
Ok((clip_duration, file_size))
}
#[cfg(test)]
mod tests {
use super::parse_ffprobe_duration;
#[test]
fn empty_output_returns_none() {
// The original bug: ffprobe -show_entries format=duration returned
// "" for some GoPro LRV files, and `parse::<f64>` panicked with
// "cannot parse float from empty string".
assert_eq!(parse_ffprobe_duration(""), None);
assert_eq!(parse_ffprobe_duration("\n"), None);
assert_eq!(parse_ffprobe_duration(" \n \n"), None);
}
#[test]
fn na_returns_none() {
// ffprobe emits "N/A" for streams without a known duration.
assert_eq!(parse_ffprobe_duration("N/A"), None);
assert_eq!(parse_ffprobe_duration("N/A\nN/A\n"), None);
}
#[test]
fn parses_simple_duration() {
assert_eq!(parse_ffprobe_duration("12.345"), Some(12.345));
assert_eq!(parse_ffprobe_duration("12.345\n"), Some(12.345));
assert_eq!(parse_ffprobe_duration("0.5"), Some(0.5));
}
#[test]
fn rejects_non_positive_durations() {
// Fragmented MP4s and broken containers occasionally report 0 or a
// negative duration. Treat as "unknown" so the caller falls back to
// whole-file transcoding rather than dividing by zero downstream.
assert_eq!(parse_ffprobe_duration("0"), None);
assert_eq!(parse_ffprobe_duration("0.0"), None);
assert_eq!(parse_ffprobe_duration("-1.5"), None);
}
#[test]
fn rejects_non_finite_durations() {
assert_eq!(parse_ffprobe_duration("inf"), None);
assert_eq!(parse_ffprobe_duration("nan"), None);
}
#[test]
fn first_valid_line_wins_for_stream_query() {
// `-show_entries stream=duration` emits one value per stream. For a
// video file the video stream is first; we accept it and ignore
// any audio-stream values that follow.
assert_eq!(parse_ffprobe_duration("12.5\n8.3\n"), Some(12.5));
}
#[test]
fn skips_leading_na_and_blank_lines() {
// Stream queries can put N/A first (e.g. data stream before the
// video stream); the parser should keep scanning.
assert_eq!(parse_ffprobe_duration("N/A\n\n7.25\n"), Some(7.25));
}
#[test]
fn rejects_garbage() {
assert_eq!(parse_ffprobe_duration("not a number"), None);
assert_eq!(parse_ffprobe_duration("12.5abc"), None);
}
}
+1 -1
View File
@@ -1,6 +1,6 @@
use crate::otel::global_tracer;
use crate::thumbnails::{is_video, update_media_counts};
use crate::video::ffmpeg::{Ffmpeg, GifType};
use crate::{is_video, update_media_counts};
use log::info;
use opentelemetry::trace::Tracer;
use std::fs;
+975
View File
@@ -0,0 +1,975 @@
//! Background file-watcher loop + the orphaned-playlist cleanup job.
//!
//! `watch_files` spins a thread that, on every tick (default 60 s
//! quick-scan / 3600 s full-scan), probes each library's availability,
//! drains the unhashed / date / face-detection backlogs via
//! [`crate::backfill`], walks newly-modified files through
//! [`process_new_files`], updates the media-count gauges, and runs the
//! three-stage maintenance pipeline (missing-file scan → back-ref
//! refresh → orphan GC).
//!
//! `cleanup_orphaned_playlists` runs on a slower interval (default 24
//! hours) and reaps HLS playlists whose source videos no longer exist
//! in any library. Both jobs respect [`crate::libraries::LibraryHealthMap`]
//! — a stale library skips destructive paths so transient unmounts
//! don't trigger data loss.
use std::collections::{HashMap, HashSet};
use std::path::{Path, PathBuf};
use std::sync::{Arc, Mutex, RwLock};
use std::time::{Duration, SystemTime};
use actix::Addr;
use chrono::Utc;
use log::{debug, error, info, warn};
use walkdir::WalkDir;
use crate::backfill;
use crate::content_hash;
use crate::database::models::InsertImageExif;
use crate::database::{ExifDao, PreviewDao, SqliteExifDao, SqlitePreviewDao};
use crate::date_resolver;
use crate::exif;
use crate::face_watch;
use crate::faces;
use crate::file_types;
use crate::libraries;
use crate::library_maintenance;
use crate::perceptual_hash;
use crate::tags;
use crate::tags::SqliteTagDao;
use crate::thumbnails;
use crate::video;
use crate::video::actors::{GeneratePreviewClipMessage, QueueVideosMessage, VideoPlaylistManager};
/// Clean up orphaned HLS playlists and segments whose source videos no longer exist.
///
/// `libs_lock` is the shared live view of the libraries table — read at the
/// top of each cleanup pass so a PATCH /libraries/{id} that disables or
/// re-mounts a library is picked up without a restart.
pub fn cleanup_orphaned_playlists(
libs_lock: Arc<RwLock<Vec<libraries::Library>>>,
excluded_dirs: Vec<String>,
library_health: libraries::LibraryHealthMap,
) {
std::thread::spawn(move || {
let video_path = dotenv::var("VIDEO_PATH").expect("VIDEO_PATH must be set");
// Get cleanup interval from environment (default: 24 hours)
let cleanup_interval_secs = dotenv::var("PLAYLIST_CLEANUP_INTERVAL_SECONDS")
.ok()
.and_then(|s| s.parse::<u64>().ok())
.unwrap_or(86400); // 24 hours
info!("Starting orphaned playlist cleanup job");
info!(" Cleanup interval: {} seconds", cleanup_interval_secs);
info!(" Playlist directory: {}", video_path);
{
let libs = libs_lock.read().unwrap_or_else(|e| e.into_inner());
for lib in libs.iter() {
info!(
" Checking sources under '{}' at {}",
lib.name, lib.root_path
);
}
}
loop {
std::thread::sleep(Duration::from_secs(cleanup_interval_secs));
// Fresh snapshot per tick so a PATCH /libraries/{id} that
// disabled a library (or rewrote its excluded_dirs) is
// honoured immediately.
let libs: Vec<libraries::Library> =
libs_lock.read().unwrap_or_else(|e| e.into_inner()).clone();
// Safety gate: skip the cleanup cycle if any library is
// stale. A missing source video on a stale library is
// indistinguishable from a transient unmount, and the
// cleanup is destructive — we'd rather leak a few playlist
// files for a tick than delete one whose source is briefly
// unreachable. The cycle re-runs on the next interval.
{
let guard = library_health.read().unwrap_or_else(|e| e.into_inner());
let stale: Vec<String> = libs
.iter()
.filter(|lib| guard.get(&lib.id).map(|h| !h.is_online()).unwrap_or(false))
.map(|lib| lib.name.clone())
.collect();
if !stale.is_empty() {
warn!(
"Skipping orphaned-playlist cleanup: {} library(ies) stale: [{}]",
stale.len(),
stale.join(", ")
);
continue;
}
}
info!("Running orphaned playlist cleanup");
let start = std::time::Instant::now();
let mut deleted_count = 0;
let mut error_count = 0;
// Find all .m3u8 files in VIDEO_PATH
let playlists: Vec<PathBuf> = WalkDir::new(&video_path)
.into_iter()
.filter_map(|e| e.ok())
.filter(|e| e.file_type().is_file())
.filter(|e| {
e.path()
.extension()
.and_then(|s| s.to_str())
.map(|ext| ext.eq_ignore_ascii_case("m3u8"))
.unwrap_or(false)
})
.map(|e| e.path().to_path_buf())
.collect();
info!("Found {} playlist files to check", playlists.len());
for playlist_path in playlists {
// Extract the original video filename from playlist name
// Playlist format: {VIDEO_PATH}/{original_filename}.m3u8
if let Some(filename) = playlist_path.file_stem() {
let video_filename = filename.to_string_lossy();
// Search for this video file across every configured
// library, respecting EXCLUDED_DIRS so we don't
// false-resurrect playlists for videos that only
// exist inside an excluded subtree. As soon as one
// library has a matching source, we're done — the
// playlist isn't orphaned.
let mut video_exists = false;
'libs: for lib in &libs {
let effective = lib.effective_excluded_dirs(&excluded_dirs);
for entry in image_api::file_scan::walk_library_files(
Path::new(&lib.root_path),
&effective,
) {
if let Some(entry_stem) = entry.path().file_stem()
&& entry_stem == filename
&& file_types::is_video_file(entry.path())
{
video_exists = true;
break 'libs;
}
}
}
if !video_exists {
debug!(
"Source video for playlist {} no longer exists, deleting",
playlist_path.display()
);
// Delete the playlist file
if let Err(e) = std::fs::remove_file(&playlist_path) {
warn!(
"Failed to delete playlist {}: {}",
playlist_path.display(),
e
);
error_count += 1;
} else {
deleted_count += 1;
// Also try to delete associated .ts segment files
// They are typically named {filename}N.ts in the same directory
if let Some(parent_dir) = playlist_path.parent() {
for entry in WalkDir::new(parent_dir)
.max_depth(1)
.into_iter()
.filter_map(|e| e.ok())
.filter(|e| e.file_type().is_file())
{
let entry_path = entry.path();
if let Some(ext) = entry_path.extension()
&& ext.eq_ignore_ascii_case("ts")
{
// Check if this .ts file belongs to our playlist
if let Some(ts_stem) = entry_path.file_stem() {
let ts_name = ts_stem.to_string_lossy();
if ts_name.starts_with(&*video_filename) {
if let Err(e) = std::fs::remove_file(entry_path) {
debug!(
"Failed to delete segment {}: {}",
entry_path.display(),
e
);
} else {
debug!(
"Deleted segment: {}",
entry_path.display()
);
}
}
}
}
}
}
}
}
}
}
info!(
"Orphaned playlist cleanup completed in {:?}: deleted {} playlists, {} errors",
start.elapsed(),
deleted_count,
error_count
);
}
});
}
pub fn watch_files(
libs_lock: Arc<RwLock<Vec<libraries::Library>>>,
playlist_manager: Addr<VideoPlaylistManager>,
preview_generator: Addr<video::actors::PreviewClipGenerator>,
face_client: crate::ai::face_client::FaceClient,
excluded_dirs: Vec<String>,
library_health: libraries::LibraryHealthMap,
) {
std::thread::spawn(move || {
// Get polling intervals from environment variables
// Quick scan: Check recently modified files (default: 60 seconds)
let quick_interval_secs = dotenv::var("WATCH_QUICK_INTERVAL_SECONDS")
.ok()
.and_then(|s| s.parse::<u64>().ok())
.unwrap_or(60);
// Full scan: Check all files regardless of modification time (default: 3600 seconds = 1 hour)
let full_interval_secs = dotenv::var("WATCH_FULL_INTERVAL_SECONDS")
.ok()
.and_then(|s| s.parse::<u64>().ok())
.unwrap_or(3600);
info!("Starting optimized file watcher");
info!(" Quick scan interval: {} seconds", quick_interval_secs);
info!(" Full scan interval: {} seconds", full_interval_secs);
// Surface face-detection state at boot so it's obvious whether
// the watcher will hit Apollo. The branch silently no-ops when
// disabled (intentional for legacy deploys), which makes "why
// aren't faces being detected?" hard to diagnose otherwise.
if face_client.is_enabled() {
info!(" Face detection: ENABLED");
} else {
info!(
" Face detection: DISABLED (set APOLLO_FACE_API_BASE_URL \
or APOLLO_API_BASE_URL to enable)"
);
}
{
let libs = libs_lock.read().unwrap_or_else(|e| e.into_inner());
for lib in libs.iter() {
info!(
" Watching library '{}' (id={}) at {}",
lib.name, lib.id, lib.root_path
);
}
}
// Create DAOs for tracking processed files
let exif_dao = Arc::new(Mutex::new(
Box::new(SqliteExifDao::new()) as Box<dyn ExifDao>
));
let preview_dao = Arc::new(Mutex::new(
Box::new(SqlitePreviewDao::new()) as Box<dyn PreviewDao>
));
let face_dao = Arc::new(Mutex::new(
Box::new(faces::SqliteFaceDao::new()) as Box<dyn faces::FaceDao>
));
// tag_dao for the watcher's auto-bind path. Independent of the
// request-handler tag_dao instance — both end up pointing at the
// same SQLite file via SqliteTagDao::default().
let watcher_tag_dao = Arc::new(Mutex::new(
Box::new(SqliteTagDao::default()) as Box<dyn tags::TagDao>
));
let mut last_quick_scan = SystemTime::now();
let mut last_full_scan = SystemTime::now();
let mut scan_count = 0u64;
// Per-library cursor for the missing-file scan. Each tick reads
// a page from `offset`, stat()s the rows, deletes confirmed-
// missing ones, and advances or wraps the cursor. State held
// in-memory so a watcher restart resumes from 0 — fine, the
// sweep is idempotent.
let mut missing_file_offsets: HashMap<i32, i64> = HashMap::new();
let missing_scan_page_size: i64 = dotenv::var("IMAGE_EXIF_MISSING_SCAN_PAGE_SIZE")
.ok()
.and_then(|s| s.parse().ok())
.filter(|n: &i64| *n > 0)
.unwrap_or(library_maintenance::DEFAULT_SCAN_PAGE_SIZE);
let missing_delete_cap: usize = dotenv::var("IMAGE_EXIF_MISSING_DELETE_CAP_PER_TICK")
.ok()
.and_then(|s| s.parse().ok())
.filter(|n: &usize| *n > 0)
.unwrap_or(library_maintenance::DEFAULT_MISSING_DELETE_CAP);
// Two-tick orphan-GC consensus state. Carried across ticks via
// `OrphanGcState`; see library_maintenance::run_orphan_gc.
let mut orphan_gc_state = library_maintenance::OrphanGcState::default();
// Initial availability sweep before the loop's first sleep so
// /libraries reports the truth from the very first request,
// rather than the optimistic Online default that
// new_health_map seeds. Without this, an unmounted share would
// appear online for up to WATCH_QUICK_INTERVAL_SECONDS (default
// 60s) after boot. Same probe logic as the per-tick gate
// below; no ingest runs here, just the health update + log.
// Disabled libraries skip the probe entirely — they should
// never enter the health map (treated as out-of-scope).
{
let libs = libs_lock.read().unwrap_or_else(|e| e.into_inner());
for lib in libs.iter() {
if !lib.enabled {
continue;
}
let context = opentelemetry::Context::new();
let had_data = exif_dao
.lock()
.expect("exif_dao poisoned")
.count_for_library(&context, lib.id)
.map(|n| n > 0)
.unwrap_or(false);
libraries::refresh_health(&library_health, lib, had_data);
}
}
loop {
std::thread::sleep(Duration::from_secs(quick_interval_secs));
let now = SystemTime::now();
let since_last_full = now
.duration_since(last_full_scan)
.unwrap_or(Duration::from_secs(0));
let is_full_scan = since_last_full.as_secs() >= full_interval_secs;
// Fresh snapshot per tick — picks up PATCH /libraries/{id}
// mutations to `enabled` / `excluded_dirs` without restart.
let libs: Vec<libraries::Library> =
libs_lock.read().unwrap_or_else(|e| e.into_inner()).clone();
for lib in &libs {
// Operator kill switch: a disabled library is invisible
// to the watcher entirely. No probe, no ingest, no
// maintenance, no health entry. Distinct from Stale —
// Stale is "we wanted to but couldn't"; Disabled is
// "we don't want to". Toggle via SQL.
if !lib.enabled {
debug!(
"watcher: skipping library '{}' (id={}) — enabled=false",
lib.name, lib.id
);
continue;
}
// Availability probe: every tick checks that the
// library's mount is reachable, is a directory, is
// readable, and (if image_exif has rows for it) is
// non-empty. A Stale library skips ingest, backlog
// drains, and metric refresh — reads/serving in HTTP
// handlers continue to work. Branches B/C extend the
// probe gate to cover handoff and orphan GC. See
// CLAUDE.md "Library availability and safety".
let had_data = {
let context = opentelemetry::Context::new();
let mut guard = exif_dao.lock().expect("exif_dao poisoned");
guard
.count_for_library(&context, lib.id)
.map(|n| n > 0)
.unwrap_or(false)
};
let health = libraries::refresh_health(&library_health, lib, had_data);
if !health.is_online() {
// Skip every write path for this library this tick.
// Don't refresh the media-count gauge either — a
// probe-failed library would otherwise flap to 0
// image / 0 video and pollute Prometheus.
continue;
}
// Drain the unhashed-hash backlog AND the face-detection
// backlog every tick, regardless of quick/full. Quick
// scans only walk recently-modified files, so the
// pre-Phase-3 backlog never enters their candidate set
// — without these standalone passes, backfill +
// detection only progressed during full scans
// (default once an hour).
// Effective excludes for this library: global env-var
// row's excluded_dirs. Compute once per tick — used
// by every walker below for this library.
let effective_excludes = lib.effective_excluded_dirs(&excluded_dirs);
if face_client.is_enabled() {
let context = opentelemetry::Context::new();
backfill::backfill_unhashed_backlog(&context, lib, &exif_dao);
backfill::process_face_backlog(
&context,
lib,
&face_client,
&face_dao,
&watcher_tag_dao,
&effective_excludes,
);
}
// Date-taken backfill: drain rows whose canonical date is
// either unresolved or only fs_time-sourced. Independent
// of face detection — runs even on deploys that don't
// configure Apollo, since `/memories` depends on it.
{
let context = opentelemetry::Context::new();
backfill::backfill_missing_date_taken(&context, lib, &exif_dao);
}
if is_full_scan {
info!(
"Running full scan for library '{}' (scan #{})",
lib.name, scan_count
);
process_new_files(
lib,
Arc::clone(&exif_dao),
Arc::clone(&preview_dao),
Arc::clone(&face_dao),
Arc::clone(&watcher_tag_dao),
face_client.clone(),
&effective_excludes,
None,
playlist_manager.clone(),
preview_generator.clone(),
);
} else {
debug!(
"Running quick scan for library '{}' (checking files modified in last {} seconds)",
lib.name,
quick_interval_secs + 10
);
let check_since = last_quick_scan
.checked_sub(Duration::from_secs(10))
.unwrap_or(last_quick_scan);
process_new_files(
lib,
Arc::clone(&exif_dao),
Arc::clone(&preview_dao),
Arc::clone(&face_dao),
Arc::clone(&watcher_tag_dao),
face_client.clone(),
&effective_excludes,
Some(check_since),
playlist_manager.clone(),
preview_generator.clone(),
);
}
// Update media counts per library (metric aggregates across all)
thumbnails::update_media_counts(Path::new(&lib.root_path), &effective_excludes);
// Missing-file detection: prune image_exif rows whose
// source file is no longer on disk. Per-library, so we
// pass library-online-this-tick implicitly (we only
// reach here if the probe gate at the top of the
// iteration passed). Capped + paginated so a huge
// library doesn't stall the watcher; rows we don't
// visit this tick get visited next tick. See
// library_maintenance::detect_missing_files_for_library.
{
let context = opentelemetry::Context::new();
let offset = missing_file_offsets.get(&lib.id).copied().unwrap_or(0);
let (deleted, next_offset) =
library_maintenance::detect_missing_files_for_library(
&context,
lib,
&exif_dao,
offset,
missing_scan_page_size,
missing_delete_cap,
);
missing_file_offsets.insert(lib.id, next_offset);
if deleted > 0 {
debug!(
"missing-file scan: library '{}' next_offset={}",
lib.name, next_offset
);
}
}
}
// Reconciliation: cross-library, so it runs once per tick
// outside the per-library loop. Idempotent — fast no-op when
// there's nothing to do. Operates on the database alone, no
// filesystem dependency, so it doesn't need a health gate.
// See database::reconcile and CLAUDE.md "Multi-library data
// model" for the rules.
{
let mut conn = image_api::database::connect();
let _ = image_api::database::reconcile::run(&mut conn);
// Back-ref refresh: hash-keyed rows whose
// (library_id, rel_path) tuple no longer matches any
// image_exif row but whose hash still does. After a
// recent→archive move, the missing-file scan removes
// the old image_exif row; this pass repoints face /
// tag / insight back-refs at the surviving location.
// DB-only, no health gate needed — uses what's in
// image_exif as truth.
let _ = library_maintenance::refresh_back_refs(&mut conn);
// Orphan GC: the destructive end of the maintenance
// pipeline. Two-tick consensus + every-library-online
// requirement is enforced inside run_orphan_gc; we
// pass the current all-online flag and the function
// tracks the previous tick's flag in OrphanGcState.
let all_online = library_maintenance::all_libraries_online(&libs, &library_health);
let _ =
library_maintenance::run_orphan_gc(&mut conn, &mut orphan_gc_state, all_online);
}
if is_full_scan {
last_full_scan = now;
}
last_quick_scan = now;
scan_count += 1;
}
});
}
/// Check if a playlist needs to be (re)generated.
///
/// Returns true if:
/// - Playlist doesn't exist, OR
/// - Source video is newer than the playlist
///
/// When metadata for either path is unreadable, returns true so the
/// caller errs on the side of regeneration (a redundant transcode
/// beats a stale playlist).
pub fn playlist_needs_generation(video_path: &Path, playlist_path: &Path) -> bool {
if !playlist_path.exists() {
return true;
}
// Check if source video is newer than playlist
if let (Ok(video_meta), Ok(playlist_meta)) = (
std::fs::metadata(video_path),
std::fs::metadata(playlist_path),
) && let (Ok(video_modified), Ok(playlist_modified)) =
(video_meta.modified(), playlist_meta.modified())
{
return video_modified > playlist_modified;
}
// If we can't determine, assume it needs generation
true
}
pub fn process_new_files(
library: &libraries::Library,
exif_dao: Arc<Mutex<Box<dyn ExifDao>>>,
preview_dao: Arc<Mutex<Box<dyn PreviewDao>>>,
face_dao: Arc<Mutex<Box<dyn faces::FaceDao>>>,
tag_dao: Arc<Mutex<Box<dyn tags::TagDao>>>,
face_client: crate::ai::face_client::FaceClient,
excluded_dirs: &[String],
modified_since: Option<SystemTime>,
playlist_manager: Addr<VideoPlaylistManager>,
preview_generator: Addr<video::actors::PreviewClipGenerator>,
) {
let context = opentelemetry::Context::new();
let thumbs = dotenv::var("THUMBNAILS").expect("THUMBNAILS not defined");
let thumbnail_directory = Path::new(&thumbs);
let base_path = Path::new(&library.root_path);
// Walk, prune EXCLUDED_DIRS subtrees, and apply image/video + modified_since
// filters. See `file_scan` for why exclusion has to happen at WalkDir
// time (filter_entry) rather than at face-detect time.
let files: Vec<(PathBuf, String)> =
image_api::file_scan::enumerate_indexable_files(base_path, excluded_dirs, modified_since);
if files.is_empty() {
debug!("No files to process");
return;
}
debug!("Found {} files to check", files.len());
// Batch query: Get all EXIF data for these files in one query
let file_paths: Vec<String> = files.iter().map(|(_, rel_path)| rel_path.clone()).collect();
let existing_exif_paths: HashMap<String, bool> = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
// Walk is per-library, so scope the lookup so a same-named file
// in another library doesn't make this one look already-indexed.
match dao.get_exif_batch(&context, Some(library.id), &file_paths) {
Ok(exif_records) => exif_records
.into_iter()
.map(|record| (record.file_path, true))
.collect(),
Err(e) => {
error!("Error batch querying EXIF data: {:?}", e);
HashMap::new()
}
}
};
let mut new_files_found = false;
let mut files_needing_row = Vec::new();
// Register every image/video file in image_exif. Rows without EXIF
// still carry library_id, rel_path, content_hash, and size_bytes so
// derivative dedup and DB-indexed sort/filter work for every file,
// not just photos with parseable EXIF.
for (file_path, relative_path) in &files {
// Check both the library-scoped legacy path (current shape) and
// the bare-legacy path (pre-multi-library shape). Either one
// existing means a thumbnail is already on disk for this file.
let scoped_thumb_path = content_hash::library_scoped_legacy_path(
thumbnail_directory,
library.id,
relative_path,
);
let bare_legacy_thumb_path = thumbnail_directory.join(relative_path);
let needs_thumbnail = !scoped_thumb_path.exists()
&& !bare_legacy_thumb_path.exists()
&& !thumbnails::unsupported_thumbnail_sentinel(&scoped_thumb_path).exists()
&& !thumbnails::unsupported_thumbnail_sentinel(&bare_legacy_thumb_path).exists();
let needs_row = !existing_exif_paths.contains_key(relative_path);
if needs_thumbnail || needs_row {
new_files_found = true;
if needs_thumbnail {
info!("New file detected (missing thumbnail): {}", relative_path);
}
if needs_row {
files_needing_row.push((file_path.clone(), relative_path.clone()));
}
}
}
if !files_needing_row.is_empty() {
info!(
"Registering {} new files in image_exif",
files_needing_row.len()
);
for (file_path, relative_path) in files_needing_row {
let timestamp = Utc::now().timestamp();
// Hash + size from filesystem metadata — always attempted so
// every file gets a content_hash, even when EXIF is absent.
let (content_hash, size_bytes) = match content_hash::compute(&file_path) {
Ok(id) => (Some(id.content_hash), Some(id.size_bytes)),
Err(e) => {
warn!("Failed to hash {}: {:?}", file_path.display(), e);
(None, None)
}
};
// Perceptual hashes (pHash + dHash). Best-effort — None for
// videos and decode failures. Drives near-duplicate detection
// in the Apollo duplicates surface; failure here is non-fatal
// and never blocks indexing.
let perceptual = perceptual_hash::compute(&file_path);
// EXIF is best-effort enrichment. When extraction fails (or the
// file type doesn't support EXIF) we still store a row with all
// EXIF fields NULL; the file remains visible to sort-by-date
// and tag queries via its rel_path and filesystem timestamps.
let exif_fields = if exif::supports_exif(&file_path) {
match exif::extract_exif_from_path(&file_path) {
Ok(data) => Some(data),
Err(e) => {
debug!(
"No EXIF or parse error for {}: {:?}",
file_path.display(),
e
);
None
}
}
} else {
None
};
// Canonical date_taken via the waterfall — kamadak-exif (already
// computed above) → exiftool fallback for videos / MakerNote /
// QuickTime → filename regex → earliest_fs_time. Source is
// recorded so the per-tick backfill drain can re-run weak
// resolutions later.
let resolved_date = date_resolver::resolve_date_taken(
&file_path,
exif_fields.as_ref().and_then(|e| e.date_taken),
);
let insert_exif = InsertImageExif {
library_id: library.id,
file_path: relative_path.clone(),
camera_make: exif_fields.as_ref().and_then(|e| e.camera_make.clone()),
camera_model: exif_fields.as_ref().and_then(|e| e.camera_model.clone()),
lens_model: exif_fields.as_ref().and_then(|e| e.lens_model.clone()),
width: exif_fields.as_ref().and_then(|e| e.width),
height: exif_fields.as_ref().and_then(|e| e.height),
orientation: exif_fields.as_ref().and_then(|e| e.orientation),
gps_latitude: exif_fields
.as_ref()
.and_then(|e| e.gps_latitude.map(|v| v as f32)),
gps_longitude: exif_fields
.as_ref()
.and_then(|e| e.gps_longitude.map(|v| v as f32)),
gps_altitude: exif_fields
.as_ref()
.and_then(|e| e.gps_altitude.map(|v| v as f32)),
focal_length: exif_fields
.as_ref()
.and_then(|e| e.focal_length.map(|v| v as f32)),
aperture: exif_fields
.as_ref()
.and_then(|e| e.aperture.map(|v| v as f32)),
shutter_speed: exif_fields.as_ref().and_then(|e| e.shutter_speed.clone()),
iso: exif_fields.as_ref().and_then(|e| e.iso),
date_taken: resolved_date.map(|r| r.timestamp),
created_time: timestamp,
last_modified: timestamp,
content_hash,
size_bytes,
phash_64: perceptual.map(|h| h.phash_64),
dhash_64: perceptual.map(|h| h.dhash_64),
date_taken_source: resolved_date.map(|r| r.source.as_str().to_string()),
};
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
if let Err(e) = dao.store_exif(&context, insert_exif) {
error!(
"Failed to register {} in image_exif: {:?}",
relative_path, e
);
} else {
debug!("Registered {} in image_exif", relative_path);
}
}
}
// ── Face detection pass ────────────────────────────────────────────
// Run after EXIF writes so newly-registered files have their
// content_hash populated. Skipped wholesale when face_client is
// disabled (no Apollo integration configured) — Phase 3 wires this
// up; the watcher remains usable on legacy deploys.
if face_client.is_enabled() {
// Opportunistic content_hash backfill: photos indexed before
// content-hashing landed (or where the hash compute failed
// silently on insert) end up in image_exif with NULL
// content_hash. build_face_candidates keys on content_hash, so
// those files would never become candidates without backfill.
// Idempotent — subsequent scans see the populated hashes and
// no-op. The dedicated `backfill_hashes` binary is still the
// right tool for very large legacy libraries; this branch
// ensures small/medium deploys self-heal without operator
// action.
backfill::backfill_missing_content_hashes(&context, &files, library, &exif_dao);
let candidates =
backfill::build_face_candidates(&context, library, &files, &exif_dao, &face_dao);
debug!(
"face_watch: scan tick — {} image file(s) walked, {} candidate(s) (library '{}', modified_since={})",
files
.iter()
.filter(|(p, _)| !file_types::is_video_file(p))
.count(),
candidates.len(),
library.name,
modified_since.is_some(),
);
if !candidates.is_empty() {
face_watch::run_face_detection_pass(
library,
excluded_dirs,
&face_client,
Arc::clone(&face_dao),
Arc::clone(&tag_dao),
candidates,
);
}
}
// Check for videos that need HLS playlists
let video_path_base = dotenv::var("VIDEO_PATH").expect("VIDEO_PATH must be set");
let mut videos_needing_playlists = Vec::new();
for (file_path, _relative_path) in &files {
if file_types::is_video_file(file_path) {
// Construct expected playlist path
let playlist_filename =
format!("{}.m3u8", file_path.file_name().unwrap().to_string_lossy());
let playlist_path = Path::new(&video_path_base).join(&playlist_filename);
// Check if playlist needs (re)generation
if playlist_needs_generation(file_path, &playlist_path) {
videos_needing_playlists.push(file_path.clone());
}
}
}
// Send queue request to playlist manager
if !videos_needing_playlists.is_empty() {
playlist_manager.do_send(QueueVideosMessage {
video_paths: videos_needing_playlists,
});
}
// Check for videos that need preview clips
// Collect (full_path, relative_path) for video files
let video_files: Vec<(String, String)> = files
.iter()
.filter(|(file_path, _)| file_types::is_video_file(file_path))
.map(|(file_path, rel_path)| (file_path.to_string_lossy().to_string(), rel_path.clone()))
.collect();
if !video_files.is_empty() {
// Query DB using relative paths (consistent with how GET/POST handlers store them)
let video_rel_paths: Vec<String> = video_files.iter().map(|(_, rel)| rel.clone()).collect();
let existing_previews: HashMap<String, String> = {
let mut dao = preview_dao.lock().expect("Unable to lock PreviewDao");
match dao.get_previews_batch(&context, &video_rel_paths) {
Ok(clips) => clips
.into_iter()
.map(|clip| (clip.file_path, clip.status))
.collect(),
Err(e) => {
error!("Error batch querying preview clips: {:?}", e);
HashMap::new()
}
}
};
for (full_path, relative_path) in &video_files {
let status = existing_previews.get(relative_path).map(|s| s.as_str());
let needs_preview = match status {
None => true, // No record at all
Some("failed") => true, // Retry failed
Some("pending") => true, // Stale pending from previous run
_ => false, // processing or complete
};
if needs_preview {
// Insert pending record using relative path
if status.is_none() {
let mut dao = preview_dao.lock().expect("Unable to lock PreviewDao");
let _ = dao.insert_preview(&context, relative_path, "pending");
}
// Send full path in the message — the actor will derive relative path from it
preview_generator.do_send(GeneratePreviewClipMessage {
video_path: full_path.clone(),
});
}
}
}
// Generate thumbnails for all files that need them
if new_files_found {
info!("Processing thumbnails for new files...");
thumbnails::create_thumbnails(std::slice::from_ref(library), excluded_dirs);
}
// Reconciliation: on a full scan, prune image_exif rows whose rel_path no
// longer exists on disk for this library. Keeps the DB in parity so
// downstream DB-backed listings (e.g. recursive /photos) don't return
// phantom files. Skipped on quick scans — those only look at recently
// modified files and can't distinguish "missing" from "unchanged".
if modified_since.is_none() {
let disk_paths: HashSet<String> = files.iter().map(|(_, rel)| rel.clone()).collect();
let db_paths: Vec<String> = {
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
dao.get_rel_paths_for_library(&context, library.id)
.unwrap_or_else(|e| {
error!(
"Reconciliation: failed to load image_exif rel_paths for lib {}: {:?}",
library.id, e
);
Vec::new()
})
};
let stale: Vec<String> = db_paths
.into_iter()
.filter(|p| !disk_paths.contains(p))
.collect();
if !stale.is_empty() {
info!(
"Reconciliation: pruning {} stale image_exif rows for library '{}'",
stale.len(),
library.name
);
let mut dao = exif_dao.lock().expect("Unable to lock ExifDao");
for rel in &stale {
if let Err(e) = dao.delete_exif_by_library(&context, library.id, rel) {
warn!(
"Reconciliation: failed to delete {} (lib {}): {:?}",
rel, library.id, e
);
}
}
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use std::fs;
use std::thread::sleep;
use std::time::Duration as StdDuration;
use tempfile::TempDir;
#[test]
fn playlist_needs_generation_true_when_playlist_missing() {
let tmp = TempDir::new().unwrap();
let video = tmp.path().join("clip.mp4");
fs::write(&video, b"v").unwrap();
let playlist = tmp.path().join("clip.mp4.m3u8");
// playlist does not exist
assert!(playlist_needs_generation(&video, &playlist));
}
#[test]
fn playlist_needs_generation_false_when_playlist_is_newer() {
let tmp = TempDir::new().unwrap();
let video = tmp.path().join("clip.mp4");
fs::write(&video, b"v").unwrap();
// Sleep to guarantee a distinct mtime for the playlist created next.
// Many filesystems have ~10 ms mtime resolution; 50 ms is plenty.
sleep(StdDuration::from_millis(50));
let playlist = tmp.path().join("clip.mp4.m3u8");
fs::write(&playlist, b"#EXTM3U").unwrap();
assert!(!playlist_needs_generation(&video, &playlist));
}
#[test]
fn playlist_needs_generation_true_when_video_is_newer() {
let tmp = TempDir::new().unwrap();
let playlist = tmp.path().join("clip.mp4.m3u8");
fs::write(&playlist, b"#EXTM3U").unwrap();
sleep(StdDuration::from_millis(50));
let video = tmp.path().join("clip.mp4");
fs::write(&video, b"v").unwrap();
assert!(playlist_needs_generation(&video, &playlist));
}
#[test]
fn playlist_needs_generation_true_when_video_missing_metadata() {
// Video doesn't exist; metadata fails for it. Falls through to the
// "assume needs regeneration" branch.
let tmp = TempDir::new().unwrap();
let video = tmp.path().join("missing.mp4");
let playlist = tmp.path().join("missing.mp4.m3u8");
fs::write(&playlist, b"#EXTM3U").unwrap();
assert!(playlist_needs_generation(&video, &playlist));
}
}