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PerformanceOptimizationWorkflow

What it is​

  • A non-functional (template-only) workflow class intended for application performance analysis and optimization.
  • Provides a placeholder execute() implementation that returns metadata about planned steps and received inputs.

Public API​

  • @dataclass PerformanceOptimizationWorkflowConfiguration(WorkflowConfiguration)

    • Configuration holder for the workflow (currently has no additional fields).

  • class PerformanceOptimizationWorkflow(Workflow)

    • __init__(config: Optional[PerformanceOptimizationWorkflowConfiguration] = None)
      • Initializes the workflow and logs a warning that it is template-only.
    • async execute(inputs: Dict[str, Any]) -> Dict[str, Any]
      • Logs a warning that it is not implemented and returns:
        • status: "template_only"
        • message: indicates not functional
        • planned_steps: list of placeholder step descriptions
        • inputs_received: list of keys found in inputs
    • get_workflow_description() -> str
      • Returns a multi-line description string for the workflow.

Configuration/Dependencies​

  • Depends on:
    • naas_abi_core.logger for warnings.
    • naas_abi_core.workflow.workflow.Workflow and WorkflowConfiguration as base classes.
  • PerformanceOptimizationWorkflowConfiguration currently does not define any configuration fields.

Usage​

import asyncio
from naas_abi_marketplace.domains.software-engineer.workflows.PerformanceOptimizationWorkflow import (
    PerformanceOptimizationWorkflow,
)

async def main():
    wf = PerformanceOptimizationWorkflow()
    result = await wf.execute(
        {
            "domain_specific_input": {"app": "example"},
            "context": "some context",
            "parameters": {"level": "basic"},
        }
    )
    print(result)

asyncio.run(main())

Caveats​

  • Not functional yet: execute() does not perform real analysis/optimization; it only returns a template response and logs warnings.