Files
mule-image/backend/requirements.txt
root 5c531f11da feat: runtime feature flags, upload/download, RAW decoding
Adds Redis-backed feature flags for vision stages with admin UI toggles
and manual backfill trigger, photo upload and download routers with
frontend upload modal, and rawpy-based RAW decoding with JPEG fallback
for misnamed DNGs. Fixes pgvector serialization, is_trashed filter, and
naive-datetime bind in incremental duplicate regrouping; bumps Celery
time limits on regroup tasks beyond the 5-minute default.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 21:31:52 +02:00

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# Core dependencies
fastapi==0.109.0
uvicorn[standard]==0.27.0
python-multipart==0.0.6
# Database
sqlalchemy[asyncio]==2.0.25
aiosqlite==0.19.0 # SQLite escape hatch (docker-compose.sqlite.yml override)
asyncpg==0.29.0 # async Postgres driver (default)
psycopg2-binary==2.9.9 # sync Postgres driver, used by Alembic CLI
pgvector==0.2.5 # pgvector SQLAlchemy types
alembic==1.13.1
# Redis and Celery
redis==5.0.1
celery==5.3.6
flower==2.0.1
# Image processing
# pyvips==2.2.1 # Optional - having compatibility issues, using Pillow as fallback
rawpy==0.26.1 # RAW decoder (CR2/NEF/ARW/DNG/…). cp312 wheels
# ship with libraw bundled; the older 0.19 pin
# had numpy 2.x incompatibilities — 0.26 is fine
# with our numpy 1.26. iPhone ProRAW-style DNGs
# that aren't real RAW still fail here; thumbs.py
# falls back to opening them as JPEG in that case.
pillow==10.2.0
pillow-heif==0.15.0
imagehash==4.3.1 # perceptual hash for duplicate detection
imageio==2.33.1
imageio-ffmpeg==0.4.9
# Video processing
ffmpeg-python==0.2.0
# Metadata extraction
pyexiftool==0.5.6
# File watching
watchfiles==0.21.0
# Vision pipeline (ONNX Runtime CPU inference)
onnxruntime==1.18.1
open-clip-torch==2.24.0 # tokenizer + export helper; inference via ONNX
transformers>=4.37.0 # HuggingFace tokenizer for SigLIP models
ultralytics==8.4.37 # YOLOv8n export helper; inference via ONNX
rapidocr-onnxruntime==1.3.22
scikit-learn==1.4.0 # DBSCAN for face clustering
insightface>=0.7.3 # RetinaFace + ArcFace face detection/recognition
numpy>=1.26.0,<2.0
# Utilities
pyyaml==6.0.1
pydantic==2.5.3
pydantic-settings==2.1.0
python-dotenv==1.0.0
httpx==0.26.0
aiofiles==23.2.1
# Security and authentication
python-jose[cryptography]==3.3.0
passlib[bcrypt]==1.7.4
bcrypt==4.0.1
# Development
pytest==7.4.4
pytest-asyncio==0.23.3
black==23.12.1
ruff==0.1.11