Qlik Sense · OpenAPI Overlay 1.0.0

API Evangelist conversational phrasing for di-projects data task actions API

5 actions 5 updates phrasing extends openapi/qliksense-data-task-actions-api-openapi.yml

Generated by API Evangelist Written by API Evangelist tooling for Qlik Sense's API. It is a proposal applied on top of the contract, not a document Qlik Sense publishes.

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What the actions change

x-apievangelist-phrasing

Targets 5

$.info

$.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/prepare'].post

$.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/recreate-datasets'].post

$.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/request-reload'].post

$.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/validate'].post

OpenAPI Overlay

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for di-projects data task actions API
  version: 1.0.0
extends: openapi/qliksense-data-task-actions-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 4
- target: $.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/prepare'].post
  update:
    x-apievangelist-phrasing:
      intent: Prepare a data task for running
      effect: write
      questions:
      - How do I prepare a data integration task before running it?
      - Can preparing a task recreate its artifacts if needed?
      instructions:
      - text: Prepare data task {dataTaskId} in project {projectId} with allowRecreate {allowRecreate}.
        slots:
          dataTaskId: path.dataTaskId
          projectId: path.projectId
          allowRecreate: requestBody.allowRecreate
      - text: Get task {dataTaskId} in project {projectId} ready to run, allowRecreate {allowRecreate}.
        slots:
          dataTaskId: path.dataTaskId
          projectId: path.projectId
          allowRecreate: requestBody.allowRecreate
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/recreate-datasets'].post
  update:
    x-apievangelist-phrasing:
      intent: Recreate a data task's datasets
      effect: destructive
      questions:
      - How do I rebuild the datasets of a data task from scratch?
      - Can I recreate the target datasets for a project task?
      instructions:
      - text: Recreate the datasets of data task {dataTaskId} in project {projectId}.
        slots:
          dataTaskId: path.dataTaskId
          projectId: path.projectId
      - text: Rebuild all target datasets for task {dataTaskId} in project {projectId}.
        slots:
          dataTaskId: path.dataTaskId
          projectId: path.projectId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/request-reload'].post
  update:
    x-apievangelist-phrasing:
      intent: Request a dataset reload for a data task
      effect: write
      questions:
      - Does requesting a reload run immediately or on the task's next run?
      - Can I reload only selected datasets of a data task?
      instructions:
      - text: Request a reload of data task {dataTaskId} in project {projectId}.
        slots:
          dataTaskId: path.dataTaskId
          projectId: path.projectId
      - text: Request reload of datasets {selectedDatasets} in task {dataTaskId} of project {projectId}.
        slots:
          selectedDatasets: requestBody.selectedDatasets
          dataTaskId: path.dataTaskId
          projectId: path.projectId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/di-projects/{projectId}/di-tasks/{dataTaskId}/actions/validate'].post
  update:
    x-apievangelist-phrasing:
      intent: Validate a data task
      effect: read
      questions:
      - How do I check that a data integration task is valid before running it?
      - Is there a way to validate a project task's configuration?
      instructions:
      - text: Validate data task {dataTaskId} in project {projectId}.
        slots:
          dataTaskId: path.dataTaskId
          projectId: path.projectId
      - text: Check task {dataTaskId} of project {projectId} for configuration errors.
        slots:
          dataTaskId: path.dataTaskId
          projectId: path.projectId
      method: generated
      generated: '2026-09-26'

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