Data Source: oci_ai_vision_stream_jobs

This data source provides the list of Stream Jobs in Oracle Cloud Infrastructure Ai Vision service.

Get list of stream jobs

Example Usage

data "oci_ai_vision_stream_jobs" "test_stream_jobs" {

	#Optional
	compartment_id = var.compartment_id
	display_name = var.stream_job_display_name
	id = var.stream_job_id
	state = var.stream_job_state
}

Argument Reference

The following arguments are supported:

compartment_id - (Optional) The ID of the compartment in which to list resources.
display_name - (Optional) A filter to return only resources that match the entire display name given.
id - (Optional) The filter to find the streamjob with the given identifier.
state - (Optional) The filter to match projects with the given lifecycleState.

Attributes Reference

The following attributes are exported:

stream_job_collection - The list of stream_job_collection.

StreamJob Reference

The following attributes are exported:

agent_participant_id - participant id of agent where results need to be sent
compartment_id - OCID of compartment
defined_tags - Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {"foo-namespace": {"bar-key": "value"}}
display_name - Stream job display name.
features - a list of document analysis features.
- feature_type - The feature of video analysis. Allowed values are:
  - OBJECT_TRACKING: Object tracking feature(OT).
  - FACE_DETECTION: Face detection feature(FD).
- max_results - The maximum number of results to return.
- should_return_landmarks - Whether or not return face landmarks.
- tracking_types - List of details of what to track.
  - biometric_store_compartment_id - compartment Id of biometric compartment.
  - biometric_store_id - Which biometric store user wants to do face recognition
  - detection_model_id - The detection model OCID.
  - max_results - The maximum number of results to return.
  - objects - List of the objects to be tracked.
  - should_return_landmarks - Whether or not return face landmarks.
  - tracking_model_id - The tracking model OCID.
freeform_tags - A simple key-value pair that is applied without any predefined name, type, or scope. It exists for cross-compatibility only. For example: {"bar-key": "value"}
id - OCID of the streamJob.
lifecycle_details - Additional details about current state of streamJob
state - The current state of the Stream job.
stream_output_location - Details about a where results will be Sent
- bucket - The Object Storage bucket name.
- namespace - The Object Storage namespace.
- obo_token - Object storage output location
- output_location_type - Type of device Allowed values are:
  - OBJECT_STORAGE
  - LIVEKIT_WEBRTC_AGENT
- prefix - The Object Storage folder name.
stream_source_id - OCID of the streamSource
system_tags - Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {"orcl-cloud": {"free-tier-retained": "true"}}
time_created - When the streamJob was created, as an RFC3339 datetime string.
time_updated - When the stream job was updated, as an RFC3339 datetime string.