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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
34 lines
1.5 KiB
YAML
34 lines
1.5 KiB
YAML
# OpenUltraSAST as a contributor runs it: nothing installed on the host but Docker.
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#
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# docker compose build
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# TARGET=/path/to/repo docker compose run --rm ousast scan /target
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#
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# The target is mounted READ-ONLY. A tool that reads your source to tell you about it has no business being
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# able to write to it, and a contributor evaluating an unfamiliar analyser should not have to take that on
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# trust.
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services:
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ousast:
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build:
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context: .
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args:
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JOERN_VERSION: ${JOERN_VERSION:-v4.0.623}
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image: openultrasast:${OUSAST_VERSION:-dev}
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volumes:
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- ${TARGET:-.}:/target:ro # the repository under analysis, read-only
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- ./reports:/reports # where findings land, the one writable mount
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working_dir: /work
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tmpfs:
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# CPG construction is scratch-heavy and none of it should outlive the run or touch the host.
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- /work:size=${WORK_SIZE:-4g}
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environment:
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# The LLM endpoint is optional: without it the model layer still entails, and the suspicion band simply
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# goes unasked. Passed through rather than baked in, so no key is ever in an image layer.
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DEEPSEEK_API_KEY: ${DEEPSEEK_API_KEY:-}
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OPENROUTER_API_KEY: ${OPENROUTER_API_KEY:-}
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TMPDIR: /work
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# A CPG build is memory-hungry, and two Joern JVMs at once is what triggered an out-of-memory kill on a
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# 7.7 GB machine during this project's measurements.
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mem_limit: ${OUSAST_MEM_LIMIT:-6g}
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network_mode: ${OUSAST_NETWORK:-none} # `bridge` only when the LLM judge is wanted
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