Acceldata Create and Verify Data Quality Rule

arazzo: 1.0.1
info:
  title: Acceldata Create and Verify Data Quality Rule
  summary: Resolve a dataset, create a data quality rule on it, and confirm the rule is registered.
  description: >-
    A rule provisioning flow. The workflow resolves a target dataset by source,
    creates a new data quality monitoring rule against one of its columns, and
    then lists the dataset's active rules to confirm the new rule is registered.
    Every step spells out its request inline so the flow can be read and
    executed without opening the underlying OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: acceldataAdocApi
  url: ../openapi/acceldata-adoc-api.yaml
  type: openapi
workflows:
- workflowId: create-and-verify-rule
  summary: Create a data quality rule on a dataset and verify it is registered.
  description: >-
    Finds a dataset on the given source, creates a data quality rule for a named
    column, and then lists the active rules for that dataset to confirm the new
    rule appears.
  inputs:
    type: object
    required:
    - apiKey
    - source
    - ruleName
    - ruleType
    - columnName
    properties:
      apiKey:
        type: string
        description: Acceldata API key sent in the X-API-Key header.
      source:
        type: string
        description: Data source platform to filter datasets by (e.g. snowflake).
      ruleName:
        type: string
        description: Name of the data quality rule to create.
      ruleType:
        type: string
        description: Type of data quality check (e.g. null_check, uniqueness_check).
      columnName:
        type: string
        description: Column on the dataset that the rule monitors.
      threshold:
        type: number
        description: Alert threshold as a percentage (0-100).
      severity:
        type: string
        description: Severity of alerts triggered by this rule.
  steps:
  - stepId: findDataset
    description: >-
      List datasets on the given source and capture the first dataset id to
      create the rule against.
    operationId: listDatasets
    parameters:
    - name: X-API-Key
      in: header
      value: $inputs.apiKey
    - name: source
      in: query
      value: $inputs.source
    - name: limit
      in: query
      value: 1
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      datasetId: $response.body#/data/0/id
      datasetName: $response.body#/data/0/name
  - stepId: createRule
    description: >-
      Create a new data quality monitoring rule on the resolved dataset's
      column using the supplied rule definition.
    operationId: createDataQualityRule
    parameters:
    - name: X-API-Key
      in: header
      value: $inputs.apiKey
    requestBody:
      contentType: application/json
      payload:
        name: $inputs.ruleName
        type: $inputs.ruleType
        datasetId: $steps.findDataset.outputs.datasetId
        columnName: $inputs.columnName
        threshold: $inputs.threshold
        severity: $inputs.severity
    successCriteria:
    - condition: $statusCode == 201
    outputs:
      ruleId: $response.body#/id
      ruleStatus: $response.body#/status
  - stepId: verifyRule
    description: >-
      List the active data quality rules for the dataset to confirm the newly
      created rule is registered.
    operationId: listDataQualityRules
    parameters:
    - name: X-API-Key
      in: header
      value: $inputs.apiKey
    - name: dataset_id
      in: query
      value: $steps.findDataset.outputs.datasetId
    - name: status
      in: query
      value: active
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      activeRuleCount: $response.body#/total
  outputs:
    datasetId: $steps.findDataset.outputs.datasetId
    createdRuleId: $steps.createRule.outputs.ruleId
    activeRuleCount: $steps.verifyRule.outputs.activeRuleCount