Files
Aidem-Media-DLL-Analysis/docker-compose.yml
Patryk Gensch f4aa7caaa9 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>
2026-05-31 12:24:47 +02:00

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1.8 KiB
YAML

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