Worker plan database

Subclass of the worker_plan service that runs the PlanExe pipeline with a Postgres database.

• Polls TaskItem rows, marks them processing, and runs the pipeline.
• Reports state/progress back to the DB and posts confirmations to MachAI.
• Uses the same worker_plan_internal code as worker_plan, plus the shared database_api models.
• Configure MachAI confirmation endpoints with PLANEXE_IFRAME_GENERATOR_CONFIRMATION_PRODUCTION_URL and PLANEXE_IFRAME_GENERATOR_CONFIRMATION_DEVELOPMENT_URL (both are required; the worker fails fast if missing).

Docker usage

• Build/run single worker: docker compose up --build worker_plan_database
• Run three workers (each with PLANEXE_WORKER_ID=1/2/3): docker compose up -d worker_plan_database_1 worker_plan_database_2 worker_plan_database_3
• Reads SQLALCHEMY_DATABASE_URI when provided, otherwise builds one from:
  • PLANEXE_POSTGRES_HOST|PORT|DB|USER|PASSWORD
  • falls back to the database_postgres service defaults (planexe/planexe on port 5432)
• Logs stream to stdout with 12-factor style logging. Configure with PLANEXE_LOG_LEVEL (defaults to INFO).
• Volumes mounted in compose: ./run (pipeline output), .env, llm_config.json
• Entrypoint: python -m worker_plan_database.app