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A contributor should be able to run this with nothing installed but Docker: docker compose build TARGET=/path/to/repo docker compose run --rm ousast scan /target One image rather than two services, and the reason is the seam. The model layer reaches Joern by subprocess; putting both in the same image means Joern is simply on PATH, so there is no container-to-container call, no docker socket to mount, no host/container path translation, and no second code path in cpg/backend.py to get wrong. Sibling services would need the tool to exec into the engine's container, which means handing a linter the docker socket -- a large amount of privilege for something that reads source code. The image is big (a JRE plus ~2 GB of Joern); that is the honest cost of bundling an engine. I had started building the two-service version with a docker-wrapper mode in the backend and dropped it, tests included: once the engine is on PATH the wrapper is complexity with no purpose. Defaults chosen so an unfamiliar analyser is safe to try: the target mounts READ-ONLY, /work is a tmpfs so CPG scratch never outlives the run or touches the host, network_mode is `none` unless the LLM judge is wanted, and API keys pass through the environment rather than into an image layer. mem_limit is set because two Joern JVMs at once is what triggered an out-of-memory kill on a 7.7 GB machine during this feature's measurements. pyinfra deploy kept for persistent host installs, with the same version pin and the same checksum verification -- done as an explicit `sha512sum -c` step because pyinfra's files.download offers sha384/sha256/sha1/md5 and Joern publishes sha512. That mismatch was caught by validating against the installed pyinfra rather than trusting the API from memory. Both include php-cli: php2cpg drives PHP-Parser and shells out to a real interpreter, and without it a PHP tree fails with an opaque "Process exited with code 1" -- measured here, which is what makes a WordPress corpus feasible. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
51 lines
2.3 KiB
Docker
51 lines
2.3 KiB
Docker
# OpenUltraSAST with its CPG engine, in one image.
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#
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# The model layer's arbiter is Joern, and `openultrasast.cpg.backend` reaches it by subprocess. Shipping both
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# in one image is what makes that simple: Joern is on PATH inside, so there is no container-to-container call,
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# no docker socket, no path translation between host and container, and no second code path in the backend to
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# get wrong. The alternative -- tool and engine as sibling services -- needs the tool to exec into the other
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# container, which means mounting the docker socket, and that is a large amount of privilege for a linter.
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#
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# The image is big (a JRE plus ~2 GB of Joern). That is the honest cost of bundling an engine, and it buys a
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# contributor a working tool from `docker compose run` with nothing installed on their machine.
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FROM eclipse-temurin:21-jre-noble
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ARG JOERN_VERSION=v4.0.623
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ARG ARCHIVE=joern-cli-linux-x86_64.zip
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# php-cli is required by php2cpg, which drives PHP-Parser and shells out to a real interpreter. Without it a
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# PHP tree fails with an opaque "Process exited with code 1" -- measured on this project, not assumed.
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends \
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python3 python3-venv python3-pip unzip curl ca-certificates git php-cli \
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&& rm -rf /var/lib/apt/lists/*
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RUN set -eux; \
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cd /tmp; \
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curl -fsSL -O "https://github.com/joernio/joern/releases/download/${JOERN_VERSION}/${ARCHIVE}"; \
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curl -fsSL -O "https://github.com/joernio/joern/releases/download/${JOERN_VERSION}/${ARCHIVE}.sha512"; \
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sha512sum -c "${ARCHIVE}.sha512"; \
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unzip -q "${ARCHIVE}" -d /opt; \
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rm -f "${ARCHIVE}" "${ARCHIVE}.sha512"; \
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/opt/joern-cli/joern-parse --help > /dev/null
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ENV PATH="/opt/joern-cli:${PATH}"
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WORKDIR /app
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COPY pyproject.toml README.md ./
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COPY src ./src
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COPY benchmarks ./benchmarks
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# The core install is zero-dependency by design; `semantic` adds the tree-sitter grammars the candidate
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# enumerator uses. The LLM endpoint stays optional and is configured by environment, never baked in.
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RUN python3 -m venv /venv \
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&& /venv/bin/pip install --no-cache-dir -e ".[semantic]"
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ENV PATH="/venv/bin:${PATH}"
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# Analysis never needs root.
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RUN useradd --create-home --uid 1000 ousast && chown -R ousast /app
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USER ousast
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ENTRYPOINT ["python", "-m", "openultrasast.cli"]
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CMD ["--help"]
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