bvandeusenandClaude Opus 5.5
7a09dc3cda
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Agent: - The image ran PyPI's CUDA-13 torch 2.14 and onnxruntime-gpu 1.30 on a CUDA 12.9 cudnn-runtime base. requirements.txt had silently replaced the Dockerfile's torch 2.6+cu124, because ultralytics pulls torchvision, which pulls its own torch. That left ~3 GB of base libraries and a ~3 GB torch nothing loaded: 10 GB compressed. - Now: an nvidia/cuda 13.0.3 `base` image, with torch and torchvision installed together from cu130. CUDA and cuDNN come from the nvidia-* pip packages; onnxruntime-gpu declares its [cuda,cudnn] extras. - fc_agent/accel.py preloads those libraries for onnxruntime. It then logs, and reports in /status, whether torch and the ONNX CUDA provider actually got the GPU, since both fall back to the CPU silently. Web image: - Drop opencv-python-headless and onnxruntime, plus the opencv-only apt libs. Both have been listed since the scaffold and nothing in backend/ imports them. - torch/torchvision move to 2.14/0.29, and the unexplained caps are lifted (rule 154). Redis: 8-alpine in both compose files and both CI service containers. That gives an AGPLv3 licence option, where 7.4 was RSAL/SSPL only. The client moves to >=8.1. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LVjrnpQjRgHdvq95rASoiR
59 lines
1.9 KiB
Plaintext
59 lines
1.9 KiB
Plaintext
# Web
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quart>=0.20,<0.21
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hypercorn>=0.18,<0.19
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# DB
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sqlalchemy[asyncio]>=2.0,<2.1
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asyncpg>=0.31,<0.32
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psycopg[binary]>=3.3,<3.4
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alembic>=1.18,<1.19
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pgvector>=0.5,<0.6
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# Task queue
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celery>=5.6,<5.7
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# Uncapped (rule 154). 8.0 only changed type hints. kombu's `redis` extra
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# still says <6.5, but celery is installed without that extra, so it never applies.
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redis>=8.1
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# Crypto for credential storage (lands in FC-3, but pinned now for stability)
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cryptography>=49,<50
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# Image handling (lands in FC-2)
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pillow>=12,<13
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imagehash>=4.3,<4.4
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# Gallery-dl wrapper (lands in FC-3)
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gallery-dl>=1.32,<1.33
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# Video extractor backend for gallery-dl. Without it, every video post
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# attachment fails with `[downloader.ytdl][error] Cannot import yt-dlp`
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# → `[download][error] Failed to download NN_video.mp4`. Operator-flagged
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# 2026-05-31 after Patreon video posts produced empty downloads.
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yt-dlp>=2025.1
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# Utilities
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python-dotenv>=1.2,<2.0
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structlog>=26.1,<26.2
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# HTML sanitization for scraped post descriptions (FC-2d provenance)
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nh3>=0.3,<0.4
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# Archive extraction (FC-2d-iii filesystem-import aid)
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rarfile>=4.2,<5
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py7zr>=1,<2
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# Google Drive fetcher for off-platform file-host links (external downloads,
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# #830). Handles Drive's confirm-token + virus-scan interstitial. mega.nz uses
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# the `megatools` binary instead (Debian apt pkg in the runtime image, not pip).
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gdown>=6,<7
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# Process supervisor for the single-container layout (milestone 422 step 5).
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# `entrypoint.sh all` generates its config from the lane table and execs it as
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# PID 1, running hypercorn plus one celery process per lane in one container.
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# Unused by the multi-service compose path, where docker supervises instead.
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#
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# Chosen over s6-overlay because it is a pip install on an image that is
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# already Python, and gives per-program stop timeouts plus stopasgroup —
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# celery's prefork pool forks children, and a TERM that reaches only the
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# parent leaves them orphaned holding tasks.
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supervisor>=4.2,<5
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