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PerformanceOptimizationWorkflow

What it is​

  • A non-functional (template-only) workflow class intended for data processing performance optimization in the data engineer domain.
  • Provides a placeholder execute() implementation that returns a template response and logs warnings.

Public API​

  • @dataclass PerformanceOptimizationWorkflowConfiguration(WorkflowConfiguration)
    • Configuration container for the workflow (currently empty).
  • class PerformanceOptimizationWorkflow(Workflow)
    • __init__(config: Optional[PerformanceOptimizationWorkflowConfiguration] = None)
      • Initializes the workflow with a provided config or a default configuration.
      • Logs a warning that the workflow is not functional yet.
    • async execute(inputs: Dict[str, Any]) -> Dict[str, Any]
      • Template execution method.
      • Logs a warning that it is not implemented.
      • Returns a dict containing:
        • status: "template_only"
        • message: not-functional notice
        • planned_steps: list of placeholder step descriptions
        • inputs_received: list of keys received in inputs
    • get_workflow_description() -> str
      • Returns a multi-line textual description of the workflow.

Configuration/Dependencies​

  • Depends on:
    • naas_abi_core.logger (used for warnings)
    • naas_abi_core.workflow.workflow.Workflow
    • naas_abi_core.workflow.workflow.WorkflowConfiguration
  • Configuration:
    • PerformanceOptimizationWorkflowConfiguration currently defines no additional fields beyond WorkflowConfiguration.

Usage​

import asyncio
from naas_abi_marketplace.domains.data_engineer.workflows.PerformanceOptimizationWorkflow import (
    PerformanceOptimizationWorkflow,
)

async def main():
    wf = PerformanceOptimizationWorkflow()
    result = await wf.execute(
        {
            "domain_specific_input": {"example": True},
            "context": "optimize a data pipeline",
            "parameters": {"target": "latency"},
        }
    )
    print(result)

asyncio.run(main())

Caveats​

  • This workflow is explicitly marked NOT FUNCTIONAL YET.
  • execute() does not perform any optimization; it only returns a template payload and emits warnings.