dexaflow validate

Validate dexaflow.yaml and the DAG source against the schema.

Synopsis

Validate dexaflow.yaml against the schema and check the DAG source.

By default the check is static: dexaflow.yaml is validated and dag.py is checked for syntax errors, without being imported. A dag.py that is valid Python but fails when it runs (an AttributeError, a missing import) still passes, and the error appears at compile time.

Pass –parse to also import dag.py through the parser, as compile does, and validate the DAG it declares. It needs the parser and the DAG’s dependencies on this host, takes a fraction of a second per DAG, and leaves no dag.json behind.

dexaflow validate [path] [flags]

Options

  -h, --help                help for validate
      --parse               also import dag.py through the parser, as compile does, and validate the DAG it declares
      --parser-cmd string   override the parser command used by --parse (default from config)

Options inherited from parent commands

      --config string       config file path (default ~/.dexaflow/config.yaml)
      --log-level string    log level: debug, info, warn, error
      --server-url string   control plane API base URL
      --target name         name of the control plane to use (default: DEXAFLOW_TARGET, then the target selected for the workspace; see dexaflow target list)

SEE ALSO

• dexaflow - Dexaflow is a GitOps-first, container-native workflow orchestrator.