Five stacked optimisations for the thumbnail hot path so the timeline grid lands in fewer round trips and fewer bytes. 1. PhotoThumbnail: switch from 'medium' (640px) to 'small' (240px) for grid cells. 240px oversamples 150-200px logical cells on 2x retina and drops payload 5-8x. Lightbox and preview filmstrip keep 'large' and 'medium' respectively. 2. nextcloud_dav: pool the httpx client. A module-level AsyncClient with HTTP/2 + keepalive (max_connections=64, keepalive_expiry=120s) replaces the per-request constructor that paid a fresh TCP+TLS handshake on every preview fetch. Auth is per-user so it stays at the call site via auth=BasicAuth(...). Lifespan-managed: init in main.py's lifespan startup, aclose on shutdown. requirements.txt gains the http2 extra to pull in h2 (not currently installed). Same change applies to fetch_memories_info_async since it hits the same host. 3. PhotoThumbnail img: add decoding="async" so JPEG/WebP decode moves off the main thread, plus fetchPriority="low" so grid backfill doesn't fight UI fetches. 4. Eager-load Photo.user via joinedload from the thumb handler. _get_photo_with_share_fallback gains an options parameter so other callers stay zero-overhead; only the thumb handler asks for the owner join. Eliminates the second SELECT users per request. 5. Disk-fallback path picks up Cache-Control: private, max-age=86400 in both the FileResponse and X-Accel branches so re-renders match the NC primary path's caching behaviour. Net: a warm grid page should drop from ~200-400 ms median per thumb to well under 100 ms; payload drops ~5-8x; backend sustains higher concurrency with fewer sockets to Nextcloud and one fewer Postgres round-trip per request.
68 lines
1.9 KiB
Plaintext
68 lines
1.9 KiB
Plaintext
# Core dependencies
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fastapi==0.109.0
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uvicorn[standard]==0.27.0
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python-multipart==0.0.6
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# Database
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sqlalchemy[asyncio]==2.0.25
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aiosqlite==0.19.0 # SQLite escape hatch (docker-compose.sqlite.yml override)
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asyncpg==0.29.0 # async Postgres driver (default)
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psycopg2-binary==2.9.9 # sync Postgres driver, used by Alembic CLI
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alembic==1.13.1
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# Redis and Celery
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redis==5.0.1
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celery==5.3.6
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flower==2.0.1
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# Image processing
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# pyvips==2.2.1 # Optional - having compatibility issues, using Pillow as fallback
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rawpy==0.26.1 # RAW decoder (CR2/NEF/ARW/DNG/…). cp312 wheels
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# ship with libraw bundled; the older 0.19 pin
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# had numpy 2.x incompatibilities — 0.26 is fine
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# with our numpy 1.26. iPhone ProRAW-style DNGs
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# that aren't real RAW still fail here; thumbs.py
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# falls back to opening them as JPEG in that case.
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pillow==10.2.0
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pillow-heif==0.15.0
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imagehash==4.3.1 # perceptual hash for duplicate detection
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imageio==2.33.1
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imageio-ffmpeg==0.4.9
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# Video processing
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ffmpeg-python==0.2.0
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# Metadata extraction
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pyexiftool==0.5.6
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# File watching
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watchfiles==0.21.0
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# Vision pipeline (ONNX Runtime CPU inference)
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onnxruntime==1.18.1
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open-clip-torch==2.24.0 # tokenizer + export helper; inference via ONNX
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numpy>=1.26.0,<2.0
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# Utilities
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pyyaml==6.0.1
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pydantic==2.5.3
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pydantic-settings==2.1.0
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python-dotenv==1.0.0
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httpx[http2]==0.26.0
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aiofiles==23.2.1
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# Security and authentication
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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bcrypt==4.0.1
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# OIDC single sign-on (Authentik, etc.). Authlib drives the Auth Code +
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# PKCE flow; itsdangerous signs the short-lived Starlette session cookie
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# that holds the PKCE state during the IdP round-trip.
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authlib==1.3.1
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itsdangerous==2.1.2
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# Development
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pytest==7.4.4
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pytest-asyncio==0.23.3
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black==23.12.1
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ruff==0.1.11 |