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
2026-02-26 10:05:47 -05:00
2020-07-07 21:48:29 -04:00
2022-03-01 20:44:51 -05:00

Image API

This is an Actix-web server for serving images and videos from a filesystem. Upon first run it will generate thumbnails for all images and videos at BASE_PATH.

Features

  • Automatic thumbnail generation for images and videos
  • EXIF data extraction and storage for photos
  • File watching with NFS support (polling-based)
  • Video streaming with HLS
  • Tag-based organization
  • Memories API for browsing photos by date
  • Video Wall - Auto-generated short preview clips for videos, served via a grid view
  • AI-Powered Photo Insights - Generate contextual insights from photos using LLMs
  • RAG-based Context Retrieval - Semantic search over daily conversation summaries
  • Automatic Daily Summaries - LLM-generated summaries of daily conversations with embeddings

External Dependencies

ffmpeg (required)

ffmpeg must be on PATH. It is used for:

  • HLS video streaming — transcoding/segmenting source videos into .m3u8 + .ts playlists
  • Video thumbnails — extracting a frame at the 3-second mark
  • Video preview clips — short looping previews for the Video Wall
  • HEIC / HEIF thumbnails — decoding Apple's HEIC format (your ffmpeg build must include libheif; most modern builds do)

Builds used in development: the gyan.dev full build on Windows, and distro ffmpeg packages on Linux work fine. If HEIC thumbnails silently fail, check ffmpeg -formats | grep heif to confirm HEIF support.

RAW photo thumbnails

RAW formats (ARW, NEF, CR2, CR3, DNG, RAF, ORF, RW2, PEF, SRW, TIFF) are thumbnailed by reading an embedded JPEG preview out of the TIFF container — no external RAW decoder (libraw / dcraw) is involved. The pipeline tries two layers in order and keeps the largest valid JPEG:

  1. Fast path (no extra dependency)kamadak-exif reads JPEGInterchangeFormat from IFD0 / IFD1 directly. Covers older bodies and most DNGs.
  2. exiftool fallback (recommended for RAW-heavy libraries) — shells out to extract PreviewImage / JpgFromRaw / OtherImage, which reaches MakerNote and SubIFD-hosted previews kamadak-exif can't see (e.g. Nikon's PreviewIFD, where modern Nikon bodies stash the full-res review JPEG). If exiftool isn't on PATH this layer is skipped silently and only the fast-path result is used.

Install exiftool via your package manager:

  • macOS: brew install exiftool
  • Linux (Debian/Ubuntu): apt install libimage-exiftool-perl
  • Windows: winget install OliverBetz.ExifTool or choco install exiftool

Files where neither layer produces a valid preview fall back to ffmpeg. Anything that still can't be decoded is marked with a <thumb>.unsupported sentinel in the thumbnail directory so we don't retry it every scan. Delete those sentinels (and any cached black thumbnails) to force retries after a tooling upgrade.

Environment

There are a handful of required environment variables to have the API run. They should be defined where the binary is located or above it in an .env file.

  • DATABASE_URL is a path or url to a database (currently only SQLite is tested)
  • BASE_PATH is the root from which you want to serve images and videos
  • THUMBNAILS is a path where generated thumbnails should be stored. Thumbnails mirror the source tree under BASE_PATH and keep the source's original extension (e.g. foo.arw or bar.mp4), though the file contents are always JPEG bytes — browsers content-sniff. Files that can't be thumbnailed by the image crate, ffmpeg, or an embedded RAW preview get a zero-byte <thumb_path>.unsupported sentinel in this directory so subsequent scans skip them. Delete the *.unsupported files to force retries (for example after upgrading ffmpeg or adding libheif)
  • VIDEO_PATH is a path where HLS playlists and video parts should be stored
  • GIFS_DIRECTORY is a path where generated video GIF thumbnails should be stored
  • BIND_URL is the url and port to bind to (typically your own IP address)
  • SECRET_KEY is the hopefully random string to sign Tokens with
  • RUST_LOG is one of off, error, warn, info, debug, trace, from least to most noisy [error is default]
  • EXCLUDED_DIRS is a comma separated list of directories to exclude from the Memories API
  • PREVIEW_CLIPS_DIRECTORY (optional) is a path where generated video preview clips should be stored [default: preview_clips]
  • WATCH_QUICK_INTERVAL_SECONDS (optional) is the interval in seconds for quick file scans [default: 60]
  • WATCH_FULL_INTERVAL_SECONDS (optional) is the interval in seconds for full file scans [default: 3600]

AI Insights Configuration (Optional)

The following environment variables configure AI-powered photo insights and daily conversation summaries:

Ollama Configuration

  • OLLAMA_PRIMARY_URL - Primary Ollama server URL [default: http://localhost:11434]
    • Example: http://desktop:11434 (your main/powerful server)
  • OLLAMA_FALLBACK_URL - Fallback Ollama server URL (optional)
    • Example: http://server:11434 (always-on backup server)
  • OLLAMA_PRIMARY_MODEL - Model to use on primary server [default: nemotron-3-nano:30b]
    • Example: nemotron-3-nano:30b, llama3.2:3b, etc.
  • OLLAMA_FALLBACK_MODEL - Model to use on fallback server (optional)
    • If not set, uses OLLAMA_PRIMARY_MODEL on fallback server

Legacy Variables (still supported):

  • OLLAMA_URL - Used if OLLAMA_PRIMARY_URL not set
  • OLLAMA_MODEL - Used if OLLAMA_PRIMARY_MODEL not set

OpenRouter Configuration (Hybrid Backend)

The hybrid agentic backend keeps embeddings + vision local (Ollama) while routing chat + tool-calling to OpenRouter. Enabled per-request when the client sends backend=hybrid.

  • OPENROUTER_API_KEY - OpenRouter API key. Required to enable the hybrid backend.
  • OPENROUTER_DEFAULT_MODEL - Model id used when the client doesn't specify one [default: anthropic/claude-sonnet-4]
    • Example: openai/gpt-4o-mini, google/gemini-2.5-flash
  • OPENROUTER_ALLOWED_MODELS - Comma-separated curated allowlist exposed to clients via GET /insights/openrouter/models. The mobile picker shows only these. Empty/unset = no picker, server default is used.
    • Example: openai/gpt-4o-mini,anthropic/claude-haiku-4-5,google/gemini-2.5-flash
  • OPENROUTER_BASE_URL - Override base URL [default: https://openrouter.ai/api/v1]
  • OPENROUTER_EMBEDDING_MODEL - Embedding model for OpenRouter [default: openai/text-embedding-3-small]. Only used if/when embeddings are routed through OpenRouter (currently embeddings stay local).
  • OPENROUTER_HTTP_REFERER - Optional HTTP-Referer for OpenRouter attribution
  • OPENROUTER_APP_TITLE - Optional X-Title for OpenRouter attribution

Capability checks are skipped for the curated allowlist — bad model ids surface as a 4xx from the chat call. Pick tool-capable models.

SMS API Configuration

  • SMS_API_URL - URL to SMS message API [default: http://localhost:8000]
    • Used to fetch conversation data for context in insights
  • SMS_API_TOKEN - Authentication token for SMS API (optional)

Agentic Insight Generation

  • AGENTIC_MAX_ITERATIONS - Maximum tool-call iterations per agentic insight request [default: 10]
    • Controls how many times the model can invoke tools before being forced to produce a final answer
    • Increase for more thorough context gathering; decrease to limit response time

Insight Chat Continuation

After an agentic insight is generated, the conversation can be continued. Endpoints:

  • POST /insights/chat — single-turn reply (non-streaming)
  • POST /insights/chat/stream — SSE variant with live text deltas and tool_call / tool_result events. Mobile client uses this.
  • GET /insights/chat/history?path=...&library=... — rendered transcript; each assistant message carries a tools: [{name, arguments, result}] array
  • POST /insights/chat/rewind — truncate transcript at a rendered index (drops that message + any preceding tool scaffolding + later turns). Used for "try again from here" flows. The initial user message is protected.

Amend mode (amend: true in the chat request body) regenerates the insight's title and inserts a new row instead of appending to the existing transcript, so you can rewrite the saved summary from within chat.

  • AGENTIC_CHAT_MAX_ITERATIONS - Cap on tool-calling iterations per chat turn [default: 6]
    • Per-request max_iterations (when sent by the client) is clamped to this cap

Fallback Behavior

  • Primary server is tried first with 5-second connection timeout
  • On failure, automatically falls back to secondary server (if configured)
  • Total request timeout is 120 seconds to accommodate LLM inference
  • Logs indicate which server/model was used and any failover attempts

Daily Summary Generation

Daily conversation summaries are generated automatically on server startup. Configure in src/main.rs:

  • Date range for summary generation
  • Contacts to process
  • Model version used for embeddings: nomic-embed-text:v1.5

Apollo + Face Recognition (Optional)

Apollo (sibling project) hosts both the Places API and the local insightface inference service. Both integrations are optional and degrade gracefully when unset.

  • APOLLO_API_BASE_URL - Base URL of the sibling Apollo backend.
    • When set, photo-insight enrichment folds the user's personal place name (Home, Work, Cabin, ...) into the location string, and the agentic loop gains a get_personal_place_at tool. Unset = legacy Nominatim-only path.
  • APOLLO_FACE_API_BASE_URL - Base URL for the face-detection service.
    • Falls back to APOLLO_API_BASE_URL when unset (typical single-Apollo deploy). Both unset = face feature disabled (file-watch hook and manual-face endpoints short-circuit silently).
  • FACE_AUTOBIND_MIN_COS (Phase 3) - Cosine-sim floor for auto-binding a detected face to an existing same-named person via people-tag bootstrap [default: 0.4].
  • FACE_DETECT_CONCURRENCY (Phase 3) - Per-scan-tick concurrent detect calls fired by the file watcher [default: 8]. Apollo serializes them via its single-worker GPU pool.
  • FACE_DETECT_TIMEOUT_SEC - reqwest client timeout per detect call [default: 60]. CPU inference on a backlog can take many seconds.
  • FACE_BACKLOG_MAX_PER_TICK - Cap on the per-tick backlog drain (photos with a content_hash but no face_detections row) [default: 64]. Runs every watcher tick regardless of quick-vs-full scan, so the unscanned set drains independently of the file walk.
  • FACE_HASH_BACKFILL_MAX_PER_TICK - Cap on the per-tick content_hash backfill (photos that were registered before the hash field was populated retroactively) [default: 2000]. Errors don't burn the cap; only successful hashes count.
Description
A Rust actix based Image and Video Server.
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