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>
Closes the chain from a game file to a catalog entry: unpack an ISO/ZIP,
content-identify the engine DLL (CMC_ObjectsContainer marker in RTTI, so a
renamed file is still found), hash it (sha256 + md5 + optional ssdeep via
ppdeep), run Ghidra headless with the extractor, enrich and import the snapshot.
- unpack.py: bsdtar (ISO9660 + ZIP) with a pure-Python zipfile fallback
- identify.py: content-based engine-DLL picker + hashing
- ghidra.py: analyzeHeadless launcher discovery + post-script run
- pipeline.py: orchestration with injectable extract_fn; sink db|http|none
- cli.py: python -m ams.acquire (incl. --identify-only dry run)
- tests: 7 new (forged PE markers + stubbed extractor) -> 18/18
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Static HTML/CSS/JS served by FastAPI (mounted at /ui, / redirects there),
talking to the existing JSON API — no node/npm, no bundler.
- games/versions sidebar with A/B version selectors
- visual 4-axis diff (types/methods/events/fields, +/- struct_layout) with
+/-/~ rows, per-axis counts, class (owner) filter, moved-methods section
- single-snapshot browser (tabs + live filter)
- app.py mounts StaticFiles(html=True) last so API routes win; / -> /ui/
Smoke-tested live on uvicorn: /, /ui/ and assets serve 200; UI wiring drives
the same /games and /diff endpoints verified end-to-end. app.js passes
`node --check`.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Modular-monolith backend over SQLAlchemy (SQLite by default, Postgres-ready
via DATABASE_URL). The full snapshot.json is stored verbatim; diffing reads it
back through the ams.diff engine, so the DB never mirrors the snapshot schema.
- ams.api.db/models/schemas/service : Game 1-N Snapshot, sha256-deduped upsert
- routes: POST/GET /games, POST/GET /snapshots (import, deduped), GET /diff
(?old&new[&owner]) running compute_diff on stored snapshots, /health
- ams.api.importer : bulk CLI loader (python -m ams.api.importer --game ...)
- run: uvicorn ams.api.app:create_app --factory
11 tests pass (6 diff + 5 API via TestClient over the golden pair). Smoke-tested
live on uvicorn: import -> /snapshots -> /diff returns the BlooMoo deltas.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Standalone CLI that diffs two engine-surface snapshots across all four axes,
the foundation the FastAPI/DB layer will sit on.
- ams.snapshot : typed access to a snapshot.json
- ams.diff : keyed set-diff per axis (added/removed/changed) + cross-owner
method-move detection; types keyed by (script_name,
via_module_iface) so the dual MULTIARRAY stays stable;
filter_by_owner for per-class focus
- ams.render : human-readable report (+/-/~), owner-grouped
- ams.cli : python -m ams OLD NEW [--owner C] [--only ...] [--json]
6 tests pass, incl. an integration test over the committed golden pair
(asserts BlooMoo adds GRBUFFER/INTERNET, MOUSE grows 104->128, Animo gains
GETFPS, Animo script fields unchanged).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
