Oracle Cloud Infrastructure v3.7.0, Sep 13 25

Oracle Cloud Infrastructure v3.7.0 published on Saturday, Sep 13, 2025 by Pulumi

oci.AiVision.getStreamJobs

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Oracle Cloud Infrastructure v3.7.0 published on Saturday, Sep 13, 2025 by Pulumi

Example Usage

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

const testStreamJobs = oci.AiVision.getStreamJobs({
    compartmentId: compartmentId,
    displayName: streamJobDisplayName,
    id: streamJobId,
    state: streamJobState,
});

import pulumi
import pulumi_oci as oci

test_stream_jobs = oci.AiVision.get_stream_jobs(compartment_id=compartment_id,
    display_name=stream_job_display_name,
    id=stream_job_id,
    state=stream_job_state)

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.GetStreamJobs(ctx, &aivision.GetStreamJobsArgs{
			CompartmentId: pulumi.StringRef(compartmentId),
			DisplayName:   pulumi.StringRef(streamJobDisplayName),
			Id:            pulumi.StringRef(streamJobId),
			State:         pulumi.StringRef(streamJobState),
		}, 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 testStreamJobs = Oci.AiVision.GetStreamJobs.Invoke(new()
    {
        CompartmentId = compartmentId,
        DisplayName = streamJobDisplayName,
        Id = streamJobId,
        State = streamJobState,
    });

});

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.GetStreamJobsArgs;
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 testStreamJobs = AiVisionFunctions.getStreamJobs(GetStreamJobsArgs.builder()
            .compartmentId(compartmentId)
            .displayName(streamJobDisplayName)
            .id(streamJobId)
            .state(streamJobState)
            .build());

    }
}

variables:
  testStreamJobs:
    fn::invoke:
      function: oci:AiVision:getStreamJobs
      arguments:
        compartmentId: ${compartmentId}
        displayName: ${streamJobDisplayName}
        id: ${streamJobId}
        state: ${streamJobState}

Using getStreamJobs

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 getStreamJobs(args: GetStreamJobsArgs, opts?: InvokeOptions): Promise<GetStreamJobsResult>
function getStreamJobsOutput(args: GetStreamJobsOutputArgs, opts?: InvokeOptions): Output<GetStreamJobsResult>

def get_stream_jobs(compartment_id: Optional[str] = None,
                    display_name: Optional[str] = None,
                    filters: Optional[Sequence[GetStreamJobsFilter]] = None,
                    id: Optional[str] = None,
                    state: Optional[str] = None,
                    opts: Optional[InvokeOptions] = None) -> GetStreamJobsResult
def get_stream_jobs_output(compartment_id: Optional[pulumi.Input[str]] = None,
                    display_name: Optional[pulumi.Input[str]] = None,
                    filters: Optional[pulumi.Input[Sequence[pulumi.Input[GetStreamJobsFilterArgs]]]] = None,
                    id: Optional[pulumi.Input[str]] = None,
                    state: Optional[pulumi.Input[str]] = None,
                    opts: Optional[InvokeOptions] = None) -> Output[GetStreamJobsResult]

func GetStreamJobs(ctx *Context, args *GetStreamJobsArgs, opts ...InvokeOption) (*GetStreamJobsResult, error)
func GetStreamJobsOutput(ctx *Context, args *GetStreamJobsOutputArgs, opts ...InvokeOption) GetStreamJobsResultOutput

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

public static class GetStreamJobs 
{
    public static Task<GetStreamJobsResult> InvokeAsync(GetStreamJobsArgs args, InvokeOptions? opts = null)
    public static Output<GetStreamJobsResult> Invoke(GetStreamJobsInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetStreamJobsResult> getStreamJobs(GetStreamJobsArgs args, InvokeOptions options)
public static Output<GetStreamJobsResult> getStreamJobs(GetStreamJobsArgs args, InvokeOptions options)

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

The following arguments are supported:

CompartmentId string: The ID of the compartment in which to list resources.
DisplayName string: A filter to return only resources that match the entire display name given.
Filters List<GetStreamJobsFilter>
Id string: The filter to find the streamjob with the given identifier.
State string: The filter to match projects with the given lifecycleState.

CompartmentId string: The ID of the compartment in which to list resources.
DisplayName string: A filter to return only resources that match the entire display name given.
Filters []GetStreamJobsFilter
Id string: The filter to find the streamjob with the given identifier.
State string: The filter to match projects with the given lifecycleState.

compartmentId String: The ID of the compartment in which to list resources.
displayName String: A filter to return only resources that match the entire display name given.
filters List<GetStreamJobsFilter>
id String: The filter to find the streamjob with the given identifier.
state String: The filter to match projects with the given lifecycleState.

compartmentId string: The ID of the compartment in which to list resources.
displayName string: A filter to return only resources that match the entire display name given.
filters GetStreamJobsFilter[]
id string: The filter to find the streamjob with the given identifier.
state string: The filter to match projects with the given lifecycleState.

compartment_id str: The ID of the compartment in which to list resources.
display_name str: A filter to return only resources that match the entire display name given.
filters Sequence[GetStreamJobsFilter]
id str: The filter to find the streamjob with the given identifier.
state str: The filter to match projects with the given lifecycleState.

compartmentId String: The ID of the compartment in which to list resources.
displayName String: A filter to return only resources that match the entire display name given.
filters List<Property Map>
id String: The filter to find the streamjob with the given identifier.
state String: The filter to match projects with the given lifecycleState.

getStreamJobs Result

The following output properties are available:

StreamJobCollections List<GetStreamJobsStreamJobCollection>: The list of stream_job_collection.
CompartmentId string: OCID of compartment
DisplayName string: Stream job display name.
Filters List<GetStreamJobsFilter>
Id string: OCID of the streamJob.
State string: The current state of the Stream job.

StreamJobCollections []GetStreamJobsStreamJobCollection: The list of stream_job_collection.
CompartmentId string: OCID of compartment
DisplayName string: Stream job display name.
Filters []GetStreamJobsFilter
Id string: OCID of the streamJob.
State string: The current state of the Stream job.

streamJobCollections List<GetStreamJobsStreamJobCollection>: The list of stream_job_collection.
compartmentId String: OCID of compartment
displayName String: Stream job display name.
filters List<GetStreamJobsFilter>
id String: OCID of the streamJob.
state String: The current state of the Stream job.

streamJobCollections GetStreamJobsStreamJobCollection[]: The list of stream_job_collection.
compartmentId string: OCID of compartment
displayName string: Stream job display name.
filters GetStreamJobsFilter[]
id string: OCID of the streamJob.
state string: The current state of the Stream job.

stream_job_collections Sequence[GetStreamJobsStreamJobCollection]: The list of stream_job_collection.
compartment_id str: OCID of compartment
display_name str: Stream job display name.
filters Sequence[GetStreamJobsFilter]
id str: OCID of the streamJob.
state str: The current state of the Stream job.

streamJobCollections List<Property Map>: The list of stream_job_collection.
compartmentId String: OCID of compartment
displayName String: Stream job display name.
filters List<Property Map>
id String: OCID of the streamJob.
state String: The current state of the Stream job.

Supporting Types

GetStreamJobsFilter

Name string
Values List<string>
Regex bool

Name string
Values []string
Regex bool

name String
values List<String>
regex Boolean

name string
values string[]
regex boolean

name str
values Sequence[str]
regex bool

name String
values List<String>
regex Boolean

GetStreamJobsStreamJobCollection

Items List<GetStreamJobsStreamJobCollectionItem>

Items []GetStreamJobsStreamJobCollectionItem

items List<GetStreamJobsStreamJobCollectionItem>

items GetStreamJobsStreamJobCollectionItem[]

items Sequence[GetStreamJobsStreamJobCollectionItem]

items List<Property Map>

GetStreamJobsStreamJobCollectionItem

AgentParticipantId string: participant id of agent where results need to be sent
CompartmentId string: The ID of the compartment in which to list resources.
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: A filter to return only resources that match the entire display name given.
Features List<GetStreamJobsStreamJobCollectionItemFeature>: 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: The filter to find the streamjob with the given identifier.
LifecycleDetails string: Additional details about current state of streamJob
State string: The filter to match projects with the given lifecycleState.
StreamOutputLocations List<GetStreamJobsStreamJobCollectionItemStreamOutputLocation>: 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: The ID of the compartment in which to list resources.
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: A filter to return only resources that match the entire display name given.
Features []GetStreamJobsStreamJobCollectionItemFeature: 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: The filter to find the streamjob with the given identifier.
LifecycleDetails string: Additional details about current state of streamJob
State string: The filter to match projects with the given lifecycleState.
StreamOutputLocations []GetStreamJobsStreamJobCollectionItemStreamOutputLocation: 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: The ID of the compartment in which to list resources.
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: A filter to return only resources that match the entire display name given.
features List<GetStreamJobsStreamJobCollectionItemFeature>: 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: The filter to find the streamjob with the given identifier.
lifecycleDetails String: Additional details about current state of streamJob
state String: The filter to match projects with the given lifecycleState.
streamOutputLocations List<GetStreamJobsStreamJobCollectionItemStreamOutputLocation>: 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: The ID of the compartment in which to list resources.
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: A filter to return only resources that match the entire display name given.
features GetStreamJobsStreamJobCollectionItemFeature[]: 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: The filter to find the streamjob with the given identifier.
lifecycleDetails string: Additional details about current state of streamJob
state string: The filter to match projects with the given lifecycleState.
streamOutputLocations GetStreamJobsStreamJobCollectionItemStreamOutputLocation[]: 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: The ID of the compartment in which to list resources.
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: A filter to return only resources that match the entire display name given.
features Sequence[GetStreamJobsStreamJobCollectionItemFeature]: 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: The filter to find the streamjob with the given identifier.
lifecycle_details str: Additional details about current state of streamJob
state str: The filter to match projects with the given lifecycleState.
stream_output_locations Sequence[GetStreamJobsStreamJobCollectionItemStreamOutputLocation]: 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: The ID of the compartment in which to list resources.
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: A filter to return only resources that match the entire display name given.
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: The filter to find the streamjob with the given identifier.
lifecycleDetails String: Additional details about current state of streamJob
state String: The filter to match projects with the given lifecycleState.
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.

GetStreamJobsStreamJobCollectionItemFeature

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<GetStreamJobsStreamJobCollectionItemFeatureTrackingType>

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 []GetStreamJobsStreamJobCollectionItemFeatureTrackingType

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<GetStreamJobsStreamJobCollectionItemFeatureTrackingType>

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 GetStreamJobsStreamJobCollectionItemFeatureTrackingType[]

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[GetStreamJobsStreamJobCollectionItemFeatureTrackingType]

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.

GetStreamJobsStreamJobCollectionItemFeatureTrackingType

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.