mirror of
https://github.com/guillaumemeyer/watermarks-remover.git
synced 2026-08-22 13:11:57 +02:00
Guillaume Meyer (The Opinionated Man)andGitHub
55d4bdc9fc
* feat: split skill from service, add HTTP API and Docker distribution The agent skill (skills/remove-ai-marks/) is now a code-free remote client: all implementation moved to service/scripts/ and runs behind a stdlib HTTP service (server.py) with /health, /capabilities, /inspect, /clean and a dynamically generated OpenAPI 3.0.3 spec at /openapi.json. - Move scripts/ and the backend Dockerfiles under service/ - server.py: JSON/base64 HTTP entrypoint with size caps, binary guard, atomic writes, loopback default, optional bearer auth - Core Dockerfile (exiftool/qpdf/c2patool preinstalled) and a GHCR publish workflow for the core/markllm/markdiffusion images - compose.yaml (wr-* services, harness/heavy profiles) + compose-check.sh to validate the running stack (exit code only) - Fix markllm image build (tokenizers 0.22.2, CPU-only torch) and ctrlregen build (python:3.11 base for the 2023-era research pins) - Fix markllm/markdiffusion harness images missing common.py at runtime * docs: add .env.example and service configuration guide * fix: disable chain-of-thought for openai-compatible Layer B rewrites deepseek-v4-flash is a reasoning model: a one-line paraphrase burned 9,894 reasoning tokens (~100s) and hit the default timeout. Send reasoning_effort=none by default for the openai-compatible backend (--reasoning-effort / WATERMARKS_REWRITE_REASONING_EFFORT; 'off' omits the parameter), cutting the same rewrite to ~1s / 12 tokens. Tested end-to-end against api.deepseek.com. * fix: sanitize client-supplied filename in HTTP service CodeQL 'uncontrolled data in path expression' (server.py): a name like '../../x' flowed into Path(tmpdir) / name, letting an upload escape the request temp dir on write. Sanitize name to its basename in _decode_input (_safe_name) and refuse any joined path whose parent is not the tmpdir at the write sites (_tmp_path). Tests cover traversal names. * chore: gitignore .env (contains local rewrite credentials) * chore: deny-by-default gitignore and dockerignore; document compose env config .gitignore and service/.dockerignore now exclude everything by default and explicitly allow only what is publishable/needed: tracked source, docs, tests, .github, and (for images) the service/scripts/ tree that every Dockerfile COPYs. Root .dockerignore documents that all builds use service/ as context. README Configuration section now covers .env setup for docker compose, host-side export for CLI runs, and the full variable table.
50 lines
2.1 KiB
Docker
50 lines
2.1 KiB
Docker
# Optional local Docker image for the MarkDiffusion image-watermark harness.
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#
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# Build from the repository root (build context = service/):
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# docker build -f service/Dockerfile.markdiffusion -t watermarks-remover-markdiffusion service/
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#
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# The upstream package is installed from PyPI at build time (pinned in
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# requirements-markdiffusion.txt) and is NOT redistributed by this repository.
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# Upstream is Apache-2.0.
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#
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# Vendored fork hardening:
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# - base image pinned by digest (no moving tag drift)
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# - package version pinned exactly in requirements-markdiffusion.txt
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# - pip itself pinned (no unpinned bootstrap step)
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# - runs as an unprivileged user (a parser bug in a crafted image can no
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# longer write files as root inside the container)
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# python:3.14-slim linux/amd64 digest.
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FROM python:3.14-slim@sha256:ce40764625a4ff50df3548277632e7f96c4e77fe75fa848aae9885476e7df5a4
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends \
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libgl1 \
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libglib2.0-0 \
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passwd \
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&& rm -rf /var/lib/apt/lists/*
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COPY scripts/requirements-markdiffusion.txt /app/requirements-markdiffusion.txt
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COPY scripts/markdiffusion_harness.py /app/markdiffusion_harness.py
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COPY scripts/common.py /app/common.py
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# torch is pinned (with everything else) in requirements-markdiffusion.txt; the
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# CPU index keeps the image small. No GPU wheel index inside the image — CUDA
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# users should run setup_markdiffusion.sh on the host instead.
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RUN python3 -m pip install --no-cache-dir "pip==26.2.1" \
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&& python3 -m pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu "torch>=2.4,<2.11" \
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&& python3 -m pip install --no-cache-dir -r /app/requirements-markdiffusion.txt
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# Unprivileged runtime user. The harness only reads input files and writes to
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# stdout/tmp, so nothing under /opt, /app, or the mounted data dir needs root.
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RUN useradd --create-home --uid 10001 --shell /usr/sbin/nologin markdiffusion
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USER markdiffusion
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ENV HOME=/home/markdiffusion \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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HF_HOME=/home/markdiffusion/.cache/huggingface
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WORKDIR /app
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ENTRYPOINT ["python3", "/app/markdiffusion_harness.py"]
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