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PipelineManagementWorkflow

What it is​

  • A non-functional template workflow intended for sales pipeline management and optimization in the Sales Development Representative domain.
  • Logs warnings indicating it is not implemented yet and returns a placeholder response.

Public API​

  • @dataclass PipelineManagementWorkflowConfiguration(WorkflowConfiguration)

    • Configuration container for the workflow (currently empty).

  • class PipelineManagementWorkflow(Workflow)

    • __init__(config: Optional[PipelineManagementWorkflowConfiguration] = None)
      • Initializes the workflow with a configuration (defaults to an empty PipelineManagementWorkflowConfiguration).
      • Emits a warning that the workflow is template-only.
    • async execute(inputs: Dict[str, Any]) -> Dict[str, Any]
      • Template execution method.
      • Does not perform real processing; returns a placeholder payload including planned steps and received input keys.
      • Expected input keys (documented in docstring):
        • pipeline_data
        • stage_definitions
        • conversion_metrics
        • forecast_parameters
    • 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 base class.
    • naas_abi_core.workflow.workflow.WorkflowConfiguration base configuration class.
  • Configuration:
    • PipelineManagementWorkflowConfiguration currently has no fields (inherits from WorkflowConfiguration).

Usage​

import asyncio
from naas_abi_marketplace.domains.sales-development-representative.workflows.PipelineManagementWorkflow import (
    PipelineManagementWorkflow,
)

async def main():
    wf = PipelineManagementWorkflow()
    result = await wf.execute(
        {
            "pipeline_data": {},
            "stage_definitions": {},
            "conversion_metrics": {},
            "forecast_parameters": {},
        }
    )
    print(result)

asyncio.run(main())

Caveats​

  • The workflow is explicitly marked "NOT FUNCTIONAL YET - Template only".
  • execute() only returns:
    • status: "template_only"
    • message indicating it is not functional
    • planned_steps (static list)
    • inputs_received (list of provided input keys)