Drop all four Airflow containers (db, init, webserver, scheduler) from the
mlops compose profile, leaving MLflow as the sole mlops service. Remove
AIRFLOW_* env vars, config fields, health-check entries, DAG trigger code
in admin/bench routes, the airflow_dag_run_id schema column, Airflow nav
links and DAG-run links in the admin UI, the two Airflow DAG files
(bench_dag.py, sim_dag.py), and all related docs/ADR references.
Simulations now run exclusively via the subprocess path.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- simulate/page.tsx: remove launch form — simulations are triggered via
Airflow DAG, not the admin UI. Page now shows run history + links to
Airflow and MLflow only (#109)
- docs.ts: use DOCS_ROOT env var (fallback: ../../docs for local dev) so
the path works in Docker standalone where CWD is /app (#110)
- Dockerfile.admin: copy docs/ into the runner image at /app/docs and set
DOCS_ROOT=/app/docs so listAllDocs() finds the files at runtime (#110)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- docker-compose: pass ML_SERVING_URL, MLFLOW_URL, AIRFLOW_URL + creds to api service
- docker-compose: pass NEXT_PUBLIC_MLFLOW_URL/AIRFLOW_URL to admin service
- docker-compose: replace wget healthcheck with node fetch (wget not in node image)
- docker-compose: enable Airflow basic_auth API backend; add MLflow pip dep for DAGs
- Dockerfiles: tighten layer caching, add .dockerignore
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
