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DeployConfiguration

What it is​

  • A small Pydantic model that holds configuration needed for a “deploy” context: workspace, space, API key, and environment variables.

Public API​

  • class DeployConfiguration(pydantic.BaseModel)
    • workspace_id: str — Target workspace identifier.
    • space_name: str — Target space name.
    • naas_api_key: str — API key for authentication.
    • env: dict[str, str] = {} — Optional environment variables mapping.

Configuration/Dependencies​

  • Depends on pydantic.BaseModel.
  • Requires Pydantic installed (pydantic package).

Usage​

from naas_abi_core.engine.engine_configuration.EngineConfiguration_Deploy import DeployConfiguration

cfg = DeployConfiguration(
    workspace_id="ws_123",
    space_name="my-space",
    naas_api_key="naas_xxx",
    env={"MODE": "prod"}
)

print(cfg.workspace_id)
print(cfg.env.get("MODE"))

Caveats​

  • env defaults to an empty dict ({}). This is a mutable default value.