Data Source: oci_ai_anomaly_detection_detect_anomaly_jobs

This data source provides the list of Detect Anomaly Jobs in Oracle Cloud Infrastructure Ai Anomaly Detection service.

Returns a list of all the Anomaly Detection jobs in the specified compartment.

Example Usage

data "oci_ai_anomaly_detection_detect_anomaly_jobs" "test_detect_anomaly_jobs" {
	#Required
	compartment_id = var.compartment_id

	#Optional
	detect_anomaly_job_id = oci_ai_anomaly_detection_detect_anomaly_job.test_detect_anomaly_job.id
	display_name = var.detect_anomaly_job_display_name
	model_id = oci_ai_anomaly_detection_model.test_model.id
	project_id = oci_ai_anomaly_detection_project.test_project.id
	state = var.detect_anomaly_job_state
}

Argument Reference

The following arguments are supported:

• compartment_id - (Required) The ID of the compartment in which to list resources.
• detect_anomaly_job_id - (Optional) Unique Async Job identifier
• display_name - (Optional) A filter to return only resources that match the entire display name given.
• model_id - (Optional) The ID of the trained model for which to list the resources.
• project_id - (Optional) The ID of the project for which to list the objects.
• state - (Optional) Filter results by the specified lifecycle state. Must be a valid state for the resource type.

Attributes Reference

The following attributes are exported:

• detect_anomaly_job_collection - The list of detect_anomaly_job_collection.

DetectAnomalyJob Reference

The following attributes are exported:

• are_all_estimates_required - Flag to enable the service to return estimates for all data points rather than just the anomalous data points
• compartment_id - The OCID of the compartment that starts the job.
• defined_tags - Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: {"foo-namespace.bar-key": "value"}
• description - Detect anomaly job description.
• display_name - Detect anomaly job display name.
• freeform_tags - Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: {"bar-key": "value"}
• id - Id of the job.
• input_details - Input details for detect anomaly job.
  • input_type - The type of input location Allowed values are:
    • INLINE: Inline input data.
    • OBJECT_LIST: Object store output location.
  • message - Inline input details.
  • object_locations - List of ObjectLocations.
    • bucket - Object Storage bucket name.
    • namespace - Object Storage namespace name.
    • object - Object Storage object name.
• lifecycle_state_details - The current state details of the batch document job.
• model_id - The OCID of the trained model.
• output_details - Output details for detect anomaly job.
  • bucket - Object Storage bucket name.
  • namespace - Object Storage namespace.
  • output_type - The type of output location Allowed values are:
    • OBJECT_STORAGE: Object store output location.
  • prefix - Object Storage folder name.
• project_id - The OCID of the project.
• sensitivity - The value that customer can adjust to control the sensitivity of anomaly detection
• state - The current state of the batch document job.
• system_tags - Usage of system tag keys. These predefined keys are scoped to namespaces. Example: {"orcl-cloud.free-tier-retained": "true"}
• time_accepted - Job accepted time
• time_finished - Job finished time
• time_started - Job started time