Containerise: Postgres + Redis/RQ + API + Ghidra worker
Brings up the documented target architecture as a docker-compose stack — a modular monolith with the Ghidra step split into its own async worker. - worker/: RQ queue (lazy redis import) + run_acquisition task (Job status queued→started→finished/failed, drives ams.acquire with sink=db) - Job model + JobOut schema; Snapshot.data is JSONB on Postgres - POST/GET /jobs: stream an upload to a shared volume, enqueue, poll status - docker/api.Dockerfile (slim) + docker/worker.Dockerfile (JDK21 + Ghidra fetched at build, overridable via GHIDRA_URL) + docker-compose.yml - ghidra.py: AMS_GHIDRA_SCRIPTS override for in-container script path - pyproject: [worker] extra (rq/redis/psycopg), python-multipart in [api] - tests: 4 new (task success/failure + endpoint enqueue/503) -> 22/22 Verified: API image builds, container serves /health + /ui + /jobs; compose config validates. Worker image (downloads ~1 GB Ghidra) not built here. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -63,7 +63,7 @@ def run_extractor(
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raise GhidraNotFound(
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"analyzeHeadless not found — set $GHIDRA_HEADLESS or $GHIDRA_HOME (Ghidra's install dir)")
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script_dir = script_dir or str(_SCRIPT_DIR)
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script_dir = script_dir or os.environ.get("AMS_GHIDRA_SCRIPTS") or str(_SCRIPT_DIR)
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out_path = os.path.abspath(out_path)
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os.makedirs(os.path.dirname(out_path) or ".", exist_ok=True)
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