Files
mule-image/backend/Dockerfile
claudio a27267f7ad refactor: drop AI/vision pipeline + plain Postgres + full-refresh script
Removes the OpenCLIP-on-ONNX classifier and everything that fed or
consumed it:
  - backend: app/services/vision/, app/tasks/vision.py,
    app/services/feature_flags.py, app/routers/features.py — all
    deleted; admin AI/feature-flag endpoints and the worker-vision
    bootstrap call gone. Photo.needs_review and its index dropped.
  - frontend: AI Settings tab, useFeaturesQuery hook, FeatureFlag
    types, "Needs Review" sidebar entry + filter, needs_review filter
    URL param all gone.
  - infra: worker-vision compose service + models_data volume deleted;
    worker-light command no longer runs bootstrap_models; the db
    image switches from pgvector/pgvector:pg16 to postgres:16; backend
    Dockerfile drops the dedicated torch RUN layer; requirements.txt
    drops torch/torchvision/open-clip-torch/onnxruntime.

Alembic 0019_drop_ai_remnants:
  - drops photos.needs_review + ix_photos_needs_review
  - DROP EXTENSION IF EXISTS vector (must run before the image swap;
    the new postgres:16 doesn't ship pgvector)

New scripts/full_refresh.py: one-shot DB ↔ filesystem reconciliation.
Runs cleanup_data_integrity, scans every active SourceRoot inline
(no celery dependency so the worker can be stopped), hard-prunes
photo + folder rows for files that are gone, removes orphan
/data/thumbs/{user}/{photo}/ directories. New helper
prune_orphan_thumbnails in cleanup.py.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 00:20:38 +02:00

42 lines
1.0 KiB
Docker

# syntax=docker/dockerfile:1.7
FROM python:3.12-slim
# Install system dependencies
RUN apt-get update && apt-get install -y \
# Build dependencies
gcc \
g++ \
make \
# Image processing libraries
libvips42 \
libvips-dev \
# ExifTool for metadata extraction
libimage-exiftool-perl \
# FFmpeg for video processing
ffmpeg \
# Git for some Python packages
git \
# PostgreSQL client (for potential future use)
postgresql-client \
# Clean up
&& rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY requirements.txt .
# buildkit cache mount keeps pip's download cache on disk across builds
# so even when this layer is invalidated, wheels are reused locally.
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r requirements.txt
# Copy application code
COPY . .
# Create necessary directories
RUN mkdir -p /data/thumbs /data/db /data/proxies /data/models /app/config
# Expose port
EXPOSE 8000
# Run the application
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]