Oracle Cloud Infrastructure v3.10.0, Nov 5 25

Oracle Cloud Infrastructure v3.10.0 published on Wednesday, Nov 5, 2025 by Pulumi

pulumi/pulumi-oci

oci.AiVision.getStreamJob

Oracle Cloud Infrastructure v3.10.0 published on Wednesday, Nov 5, 2025 by Pulumi

Schema (JSON)

pulumi/pulumi-oci

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testStreamJob = oci.AiVision.getStreamJob({
    streamJobId: testStreamJobOciAiVisionStreamJob.id,
});

import pulumi
import pulumi_oci as oci

test_stream_job = oci.AiVision.get_stream_job(stream_job_id=test_stream_job_oci_ai_vision_stream_job["id"])

package main

import (
	"github.com/pulumi/pulumi-oci/sdk/v3/go/oci/aivision"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := aivision.GetStreamJob(ctx, &aivision.GetStreamJobArgs{
			StreamJobId: testStreamJobOciAiVisionStreamJob.Id,
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;

return await Deployment.RunAsync(() => 
{
    var testStreamJob = Oci.AiVision.GetStreamJob.Invoke(new()
    {
        StreamJobId = testStreamJobOciAiVisionStreamJob.Id,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.AiVision.AiVisionFunctions;
import com.pulumi.oci.AiVision.inputs.GetStreamJobArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var testStreamJob = AiVisionFunctions.getStreamJob(GetStreamJobArgs.builder()
            .streamJobId(testStreamJobOciAiVisionStreamJob.id())
            .build());

    }
}

variables:
  testStreamJob:
    fn::invoke:
      function: oci:AiVision:getStreamJob
      arguments:
        streamJobId: ${testStreamJobOciAiVisionStreamJob.id}

Using getStreamJob

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getStreamJob(args: GetStreamJobArgs, opts?: InvokeOptions): Promise<GetStreamJobResult>
function getStreamJobOutput(args: GetStreamJobOutputArgs, opts?: InvokeOptions): Output<GetStreamJobResult>

def get_stream_job(stream_job_id: Optional[str] = None,
                   opts: Optional[InvokeOptions] = None) -> GetStreamJobResult
def get_stream_job_output(stream_job_id: Optional[pulumi.Input[str]] = None,
                   opts: Optional[InvokeOptions] = None) -> Output[GetStreamJobResult]

func LookupStreamJob(ctx *Context, args *LookupStreamJobArgs, opts ...InvokeOption) (*LookupStreamJobResult, error)
func LookupStreamJobOutput(ctx *Context, args *LookupStreamJobOutputArgs, opts ...InvokeOption) LookupStreamJobResultOutput

> Note: This function is named LookupStreamJob in the Go SDK.

public static class GetStreamJob 
{
    public static Task<GetStreamJobResult> InvokeAsync(GetStreamJobArgs args, InvokeOptions? opts = null)
    public static Output<GetStreamJobResult> Invoke(GetStreamJobInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetStreamJobResult> getStreamJob(GetStreamJobArgs args, InvokeOptions options)
public static Output<GetStreamJobResult> getStreamJob(GetStreamJobArgs args, InvokeOptions options)

fn::invoke:
  function: oci:AiVision/getStreamJob:getStreamJob
  arguments:
    # arguments dictionary

The following arguments are supported:

StreamJobId string: Stream job id.

StreamJobId string: Stream job id.

streamJobId String: Stream job id.

streamJobId string: Stream job id.

stream_job_id str: Stream job id.

streamJobId String: Stream job id.

getStreamJob Result

The following output properties are available:

AgentParticipantId string: participant id of agent where results need to be sent
CompartmentId string: OCID of compartment
DefinedTags Dictionary<string, string>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {"foo-namespace": {"bar-key": "value"}}
DisplayName string: Stream job display name.
Features List<GetStreamJobFeature>: a list of document analysis features.
FreeformTags Dictionary<string, string>: 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 string: OCID of the streamJob.
LifecycleDetails string: Additional details about current state of streamJob
State string: The current state of the Stream job.
StreamJobId string
StreamOutputLocations List<GetStreamJobStreamOutputLocation>: Details about a where results will be Sent
StreamSourceId string: OCID of the streamSource
SystemTags Dictionary<string, string>: Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {"orcl-cloud": {"free-tier-retained": "true"}}
TimeCreated string: When the streamJob was created, as an RFC3339 datetime string.
TimeUpdated string: When the stream job was updated, as an RFC3339 datetime string.

AgentParticipantId string: participant id of agent where results need to be sent
CompartmentId string: OCID of compartment
DefinedTags map[string]string: Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {"foo-namespace": {"bar-key": "value"}}
DisplayName string: Stream job display name.
Features []GetStreamJobFeature: a list of document analysis features.
FreeformTags map[string]string: 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 string: OCID of the streamJob.
LifecycleDetails string: Additional details about current state of streamJob
State string: The current state of the Stream job.
StreamJobId string
StreamOutputLocations []GetStreamJobStreamOutputLocation: Details about a where results will be Sent
StreamSourceId string: OCID of the streamSource
SystemTags map[string]string: Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {"orcl-cloud": {"free-tier-retained": "true"}}
TimeCreated string: When the streamJob was created, as an RFC3339 datetime string.
TimeUpdated string: When the stream job was updated, as an RFC3339 datetime string.

agentParticipantId String: participant id of agent where results need to be sent
compartmentId String: OCID of compartment
definedTags Map<String,String>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {"foo-namespace": {"bar-key": "value"}}
displayName String: Stream job display name.
features List<GetStreamJobFeature>: a list of document analysis features.
freeformTags Map<String,String>: 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 String: OCID of the streamJob.
lifecycleDetails String: Additional details about current state of streamJob
state String: The current state of the Stream job.
streamJobId String
streamOutputLocations List<GetStreamJobStreamOutputLocation>: Details about a where results will be Sent
streamSourceId String: OCID of the streamSource
systemTags Map<String,String>: Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {"orcl-cloud": {"free-tier-retained": "true"}}
timeCreated String: When the streamJob was created, as an RFC3339 datetime string.
timeUpdated String: When the stream job was updated, as an RFC3339 datetime string.

agentParticipantId string: participant id of agent where results need to be sent
compartmentId string: OCID of compartment
definedTags {[key: string]: string}: Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {"foo-namespace": {"bar-key": "value"}}
displayName string: Stream job display name.
features GetStreamJobFeature[]: a list of document analysis features.
freeformTags {[key: string]: string}: 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 string: OCID of the streamJob.
lifecycleDetails string: Additional details about current state of streamJob
state string: The current state of the Stream job.
streamJobId string
streamOutputLocations GetStreamJobStreamOutputLocation[]: Details about a where results will be Sent
streamSourceId string: OCID of the streamSource
systemTags {[key: string]: string}: Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {"orcl-cloud": {"free-tier-retained": "true"}}
timeCreated string: When the streamJob was created, as an RFC3339 datetime string.
timeUpdated string: When the stream job was updated, as an RFC3339 datetime string.

agent_participant_id str: participant id of agent where results need to be sent
compartment_id str: OCID of compartment
defined_tags Mapping[str, str]: Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {"foo-namespace": {"bar-key": "value"}}
display_name str: Stream job display name.
features Sequence[GetStreamJobFeature]: a list of document analysis features.
freeform_tags Mapping[str, str]: 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 str: OCID of the streamJob.
lifecycle_details str: Additional details about current state of streamJob
state str: The current state of the Stream job.
stream_job_id str
stream_output_locations Sequence[GetStreamJobStreamOutputLocation]: Details about a where results will be Sent
stream_source_id str: OCID of the streamSource
system_tags Mapping[str, str]: Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {"orcl-cloud": {"free-tier-retained": "true"}}
time_created str: When the streamJob was created, as an RFC3339 datetime string.
time_updated str: When the stream job was updated, as an RFC3339 datetime string.

agentParticipantId String: participant id of agent where results need to be sent
compartmentId String: OCID of compartment
definedTags Map<String>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {"foo-namespace": {"bar-key": "value"}}
displayName String: Stream job display name.
features List<Property Map>: a list of document analysis features.
freeformTags Map<String>: 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 String: OCID of the streamJob.
lifecycleDetails String: Additional details about current state of streamJob
state String: The current state of the Stream job.
streamJobId String
streamOutputLocations List<Property Map>: Details about a where results will be Sent
streamSourceId String: OCID of the streamSource
systemTags Map<String>: Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {"orcl-cloud": {"free-tier-retained": "true"}}
timeCreated String: When the streamJob was created, as an RFC3339 datetime string.
timeUpdated String: When the stream job was updated, as an RFC3339 datetime string.

Supporting Types

GetStreamJobFeature

FeatureType string

The feature of video analysis. Allowed values are:

OBJECT_TRACKING: Object tracking feature(OT).
FACE_DETECTION: Face detection feature(FD).

MaxResults int

The maximum number of results to return.

ShouldReturnLandmarks bool

Whether or not return face landmarks.

TrackingTypes List<GetStreamJobFeatureTrackingType>

List of details of what to track.

FeatureType string

The feature of video analysis. Allowed values are:

OBJECT_TRACKING: Object tracking feature(OT).
FACE_DETECTION: Face detection feature(FD).

MaxResults int

The maximum number of results to return.

ShouldReturnLandmarks bool

Whether or not return face landmarks.

TrackingTypes []GetStreamJobFeatureTrackingType

List of details of what to track.

featureType String

The feature of video analysis. Allowed values are:

OBJECT_TRACKING: Object tracking feature(OT).
FACE_DETECTION: Face detection feature(FD).

maxResults Integer

The maximum number of results to return.

shouldReturnLandmarks Boolean

Whether or not return face landmarks.

trackingTypes List<GetStreamJobFeatureTrackingType>

List of details of what to track.

featureType string

The feature of video analysis. Allowed values are:

OBJECT_TRACKING: Object tracking feature(OT).
FACE_DETECTION: Face detection feature(FD).

maxResults number

The maximum number of results to return.

shouldReturnLandmarks boolean

Whether or not return face landmarks.

trackingTypes GetStreamJobFeatureTrackingType[]

List of details of what to track.

feature_type str

The feature of video analysis. Allowed values are:

OBJECT_TRACKING: Object tracking feature(OT).
FACE_DETECTION: Face detection feature(FD).

max_results int

The maximum number of results to return.

should_return_landmarks bool

Whether or not return face landmarks.

tracking_types Sequence[GetStreamJobFeatureTrackingType]

List of details of what to track.

featureType String

The feature of video analysis. Allowed values are:

OBJECT_TRACKING: Object tracking feature(OT).
FACE_DETECTION: Face detection feature(FD).

maxResults Number

The maximum number of results to return.

shouldReturnLandmarks Boolean

Whether or not return face landmarks.

trackingTypes List<Property Map>

List of details of what to track.

GetStreamJobFeatureTrackingType

BiometricStoreCompartmentId string: compartment Id of biometric compartment.
BiometricStoreId string: Which biometric store user wants to do face recognition
DetectionModelId string: The detection model OCID.
MaxResults int: The maximum number of results to return.
Objects List<string>: List of the objects to be tracked.
ShouldReturnLandmarks bool: Whether or not return face landmarks.
TrackingModelId string: The tracking model OCID.

BiometricStoreCompartmentId string: compartment Id of biometric compartment.
BiometricStoreId string: Which biometric store user wants to do face recognition
DetectionModelId string: The detection model OCID.
MaxResults int: The maximum number of results to return.
Objects []string: List of the objects to be tracked.
ShouldReturnLandmarks bool: Whether or not return face landmarks.
TrackingModelId string: The tracking model OCID.

biometricStoreCompartmentId String: compartment Id of biometric compartment.
biometricStoreId String: Which biometric store user wants to do face recognition
detectionModelId String: The detection model OCID.
maxResults Integer: The maximum number of results to return.
objects List<String>: List of the objects to be tracked.
shouldReturnLandmarks Boolean: Whether or not return face landmarks.
trackingModelId String: The tracking model OCID.

biometricStoreCompartmentId string: compartment Id of biometric compartment.
biometricStoreId string: Which biometric store user wants to do face recognition
detectionModelId string: The detection model OCID.
maxResults number: The maximum number of results to return.
objects string[]: List of the objects to be tracked.
shouldReturnLandmarks boolean: Whether or not return face landmarks.
trackingModelId string: The tracking model OCID.

biometric_store_compartment_id str: compartment Id of biometric compartment.
biometric_store_id str: Which biometric store user wants to do face recognition
detection_model_id str: The detection model OCID.
max_results int: The maximum number of results to return.
objects Sequence[str]: List of the objects to be tracked.
should_return_landmarks bool: Whether or not return face landmarks.
tracking_model_id str: The tracking model OCID.

biometricStoreCompartmentId String: compartment Id of biometric compartment.
biometricStoreId String: Which biometric store user wants to do face recognition
detectionModelId String: The detection model OCID.
maxResults Number: The maximum number of results to return.
objects List<String>: List of the objects to be tracked.
shouldReturnLandmarks Boolean: Whether or not return face landmarks.
trackingModelId String: The tracking model OCID.