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>
73 lines
1.8 KiB
YAML
73 lines
1.8 KiB
YAML
# Aidem Media Playground — full stack.
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#
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# db Postgres (durable catalog)
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# redis job queue broker
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# api FastAPI + Command Center UI (http://localhost:8000)
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# worker Ghidra-headless acquisition worker (drains the 'acquire' queue)
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#
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# api and worker share the `uploads` volume: the API streams an uploaded archive there,
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# the worker reads it back by path. Bring it up with: docker compose up --build
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#
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# NOTE: the worker image downloads Ghidra (~1 GB) on first build — that layer is slow but cached.
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services:
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db:
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image: postgres:16-alpine
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environment:
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POSTGRES_USER: ams
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POSTGRES_PASSWORD: ams
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POSTGRES_DB: ams
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volumes:
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- pgdata:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U ams"]
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interval: 5s
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timeout: 3s
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retries: 10
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redis:
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image: redis:7-alpine
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 5s
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timeout: 3s
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retries: 10
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api:
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build:
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context: .
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dockerfile: docker/api.Dockerfile
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environment:
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DATABASE_URL: postgresql+psycopg://ams:ams@db:5432/ams
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REDIS_URL: redis://redis:6379/0
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AMS_UPLOAD_DIR: /data/uploads
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ports:
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- "8000:8000"
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volumes:
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- uploads:/data/uploads
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depends_on:
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db:
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condition: service_healthy
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redis:
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condition: service_healthy
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worker:
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build:
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context: .
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dockerfile: docker/worker.Dockerfile
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environment:
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DATABASE_URL: postgresql+psycopg://ams:ams@db:5432/ams
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REDIS_URL: redis://redis:6379/0
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AMS_UPLOAD_DIR: /data/uploads
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volumes:
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- uploads:/data/uploads
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depends_on:
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db:
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condition: service_healthy
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redis:
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condition: service_healthy
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volumes:
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pgdata:
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uploads:
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