prefect.server.api.deployments

Routes for interacting with Deployment objects.

count_deployments(flows=None, flow_runs=None, task_runs=None, deployments=None, work_pools=None, work_pool_queues=None, db=Depends(provide_database_interface)) async

Count deployments.

Source code in src/prefect/server/api/deployments.py

@router.post("/count")
async def count_deployments(
    flows: schemas.filters.FlowFilter = None,
    flow_runs: schemas.filters.FlowRunFilter = None,
    task_runs: schemas.filters.TaskRunFilter = None,
    deployments: schemas.filters.DeploymentFilter = None,
    work_pools: schemas.filters.WorkPoolFilter = None,
    work_pool_queues: schemas.filters.WorkQueueFilter = None,
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> int:
    """
    Count deployments.
    """
    async with db.session_context() as session:
        return await models.deployments.count_deployments(
            session=session,
            flow_filter=flows,
            flow_run_filter=flow_runs,
            task_run_filter=task_runs,
            deployment_filter=deployments,
            work_pool_filter=work_pools,
            work_queue_filter=work_pool_queues,
        )

create_deployment(deployment, response, worker_lookups=Depends(WorkerLookups), created_by=Depends(dependencies.get_created_by), updated_by=Depends(dependencies.get_updated_by), db=Depends(provide_database_interface)) async

Gracefully creates a new deployment from the provided schema. If a deployment with the same name and flow_id already exists, the deployment is updated.

If the deployment has an active schedule, flow runs will be scheduled. When upserting, any scheduled runs from the existing deployment will be deleted.

Source code in src/prefect/server/api/deployments.py

@router.post("/")
async def create_deployment(
    deployment: schemas.actions.DeploymentCreate,
    response: Response,
    worker_lookups: WorkerLookups = Depends(WorkerLookups),
    created_by: Optional[schemas.core.CreatedBy] = Depends(dependencies.get_created_by),
    updated_by: Optional[schemas.core.UpdatedBy] = Depends(dependencies.get_updated_by),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> schemas.responses.DeploymentResponse:
    """
    Gracefully creates a new deployment from the provided schema. If a deployment with
    the same name and flow_id already exists, the deployment is updated.

    If the deployment has an active schedule, flow runs will be scheduled.
    When upserting, any scheduled runs from the existing deployment will be deleted.
    """

    data = deployment.model_dump(exclude_unset=True)
    data["created_by"] = created_by.model_dump() if created_by else None
    data["updated_by"] = updated_by.model_dump() if created_by else None

    async with db.session_context(begin_transaction=True) as session:
        if (
            deployment.work_pool_name
            and deployment.work_pool_name != DEFAULT_AGENT_WORK_POOL_NAME
        ):
            # Make sure that deployment is valid before beginning creation process
            work_pool = await models.workers.read_work_pool_by_name(
                session=session, work_pool_name=deployment.work_pool_name
            )
            if work_pool is None:
                raise HTTPException(
                    status_code=status.HTTP_404_NOT_FOUND,
                    detail=f'Work pool "{deployment.work_pool_name}" not found.',
                )

            await validate_job_variables_for_deployment(
                session,
                work_pool,
                deployment,
            )

        # hydrate the input model into a full model
        deployment_dict = deployment.model_dump(
            exclude={"work_pool_name"}, exclude_unset=True
        )
        if deployment.work_pool_name and deployment.work_queue_name:
            # If a specific pool name/queue name combination was provided, get the
            # ID for that work pool queue.
            deployment_dict[
                "work_queue_id"
            ] = await worker_lookups._get_work_queue_id_from_name(
                session=session,
                work_pool_name=deployment.work_pool_name,
                work_queue_name=deployment.work_queue_name,
                create_queue_if_not_found=True,
            )
        elif deployment.work_pool_name:
            # If just a pool name was provided, get the ID for its default
            # work pool queue.
            deployment_dict[
                "work_queue_id"
            ] = await worker_lookups._get_default_work_queue_id_from_work_pool_name(
                session=session,
                work_pool_name=deployment.work_pool_name,
            )
        elif deployment.work_queue_name:
            # If just a queue name was provided, ensure that the queue exists and
            # get its ID.
            work_queue = await models.work_queues.ensure_work_queue_exists(
                session=session, name=deployment.work_queue_name
            )
            deployment_dict["work_queue_id"] = work_queue.id

        deployment = schemas.core.Deployment(**deployment_dict)
        # check to see if relevant blocks exist, allowing us throw a useful error message
        # for debugging
        if deployment.infrastructure_document_id is not None:
            infrastructure_block = (
                await models.block_documents.read_block_document_by_id(
                    session=session,
                    block_document_id=deployment.infrastructure_document_id,
                )
            )
            if not infrastructure_block:
                raise HTTPException(
                    status_code=status.HTTP_409_CONFLICT,
                    detail=(
                        "Error creating deployment. Could not find infrastructure"
                        f" block with id: {deployment.infrastructure_document_id}. This"
                        " usually occurs when applying a deployment specification that"
                        " was built against a different Prefect database / workspace."
                    ),
                )

        if deployment.storage_document_id is not None:
            storage_block = await models.block_documents.read_block_document_by_id(
                session=session,
                block_document_id=deployment.storage_document_id,
            )
            if not storage_block:
                raise HTTPException(
                    status_code=status.HTTP_409_CONFLICT,
                    detail=(
                        "Error creating deployment. Could not find storage block with"
                        f" id: {deployment.storage_document_id}. This usually occurs"
                        " when applying a deployment specification that was built"
                        " against a different Prefect database / workspace."
                    ),
                )

        now = pendulum.now("UTC")
        model = await models.deployments.create_deployment(
            session=session, deployment=deployment
        )

        if model.created >= now:
            response.status_code = status.HTTP_201_CREATED

        return schemas.responses.DeploymentResponse.model_validate(
            model, from_attributes=True
        )

create_flow_run_from_deployment(flow_run, deployment_id=Path(..., description='The deployment id', alias='id'), created_by=Depends(dependencies.get_created_by), db=Depends(provide_database_interface), worker_lookups=Depends(WorkerLookups), response=None) async

Create a flow run from a deployment.

Any parameters not provided will be inferred from the deployment's parameters. If tags are not provided, the deployment's tags will be used.

If no state is provided, the flow run will be created in a SCHEDULED state.

Source code in src/prefect/server/api/deployments.py

@router.post("/{id}/create_flow_run")
async def create_flow_run_from_deployment(
    flow_run: schemas.actions.DeploymentFlowRunCreate,
    deployment_id: UUID = Path(..., description="The deployment id", alias="id"),
    created_by: Optional[schemas.core.CreatedBy] = Depends(dependencies.get_created_by),
    db: PrefectDBInterface = Depends(provide_database_interface),
    worker_lookups: WorkerLookups = Depends(WorkerLookups),
    response: Response = None,
) -> schemas.responses.FlowRunResponse:
    """
    Create a flow run from a deployment.

    Any parameters not provided will be inferred from the deployment's parameters.
    If tags are not provided, the deployment's tags will be used.

    If no state is provided, the flow run will be created in a SCHEDULED state.
    """
    async with db.session_context(begin_transaction=True) as session:
        # get relevant info from the deployment
        deployment = await models.deployments.read_deployment(
            session=session, deployment_id=deployment_id
        )

        if not deployment:
            raise HTTPException(
                status_code=status.HTTP_404_NOT_FOUND, detail="Deployment not found"
            )

        try:
            dehydrated_params = deployment.parameters
            dehydrated_params.update(flow_run.parameters or {})
            ctx = await HydrationContext.build(
                session=session,
                raise_on_error=True,
                render_jinja=True,
                render_workspace_variables=True,
            )
            parameters = hydrate(dehydrated_params, ctx)
        except HydrationError as exc:
            raise HTTPException(
                status.HTTP_400_BAD_REQUEST,
                detail=f"Error hydrating flow run parameters: {exc}",
            )

        # default
        enforce_parameter_schema = deployment.enforce_parameter_schema

        # run override
        if flow_run.enforce_parameter_schema is not None:
            enforce_parameter_schema = flow_run.enforce_parameter_schema

        if enforce_parameter_schema:
            if not isinstance(deployment.parameter_openapi_schema, dict):
                raise HTTPException(
                    status.HTTP_409_CONFLICT,
                    detail=(
                        "Error updating deployment: Cannot update parameters because"
                        " parameter schema enforcement is enabled and the deployment"
                        " does not have a valid parameter schema."
                    ),
                )
            try:
                validate(
                    parameters, deployment.parameter_openapi_schema, raise_on_error=True
                )
            except ValidationError as exc:
                raise HTTPException(
                    status.HTTP_409_CONFLICT,
                    detail=f"Error creating flow run: {exc}",
                )
            except CircularSchemaRefError:
                raise HTTPException(
                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
                    detail="Invalid schema: Unable to validate schema with circular references.",
                )

        await validate_job_variables_for_deployment_flow_run(
            session, deployment, flow_run
        )

        work_queue_name = deployment.work_queue_name
        work_queue_id = deployment.work_queue_id

        if flow_run.work_queue_name:
            # can't mutate the ORM model or else it will commit the changes back
            work_queue_id = await worker_lookups._get_work_queue_id_from_name(
                session=session,
                work_pool_name=deployment.work_queue.work_pool.name,
                work_queue_name=flow_run.work_queue_name,
                create_queue_if_not_found=True,
            )
            work_queue_name = flow_run.work_queue_name

        # hydrate the input model into a full flow run / state model
        flow_run = schemas.core.FlowRun(
            **flow_run.model_dump(
                exclude={
                    "parameters",
                    "tags",
                    "infrastructure_document_id",
                    "work_queue_name",
                    "enforce_parameter_schema",
                }
            ),
            flow_id=deployment.flow_id,
            deployment_id=deployment.id,
            deployment_version=deployment.version,
            parameters=parameters,
            tags=set(deployment.tags).union(flow_run.tags),
            infrastructure_document_id=(
                flow_run.infrastructure_document_id
                or deployment.infrastructure_document_id
            ),
            work_queue_name=work_queue_name,
            work_queue_id=work_queue_id,
            created_by=created_by,
        )

        if not flow_run.state:
            flow_run.state = schemas.states.Scheduled()

        now = pendulum.now("UTC")
        model = await models.flow_runs.create_flow_run(
            session=session, flow_run=flow_run
        )
        if model.created >= now:
            response.status_code = status.HTTP_201_CREATED
        return schemas.responses.FlowRunResponse.model_validate(
            model, from_attributes=True
        )

delete_deployment(deployment_id=Path(..., description='The deployment id', alias='id'), db=Depends(provide_database_interface)) async

Delete a deployment by id.

Source code in src/prefect/server/api/deployments.py

@router.delete("/{id}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_deployment(
    deployment_id: UUID = Path(..., description="The deployment id", alias="id"),
    db: PrefectDBInterface = Depends(provide_database_interface),
):
    """
    Delete a deployment by id.
    """
    async with db.session_context(begin_transaction=True) as session:
        result = await models.deployments.delete_deployment(
            session=session, deployment_id=deployment_id
        )
    if not result:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND, detail="Deployment not found"
        )

get_scheduled_flow_runs_for_deployments(background_tasks, deployment_ids=Body(default=..., description='The deployment IDs to get scheduled runs for'), scheduled_before=Body(None, description='The maximum time to look for scheduled flow runs'), limit=dependencies.LimitBody(), db=Depends(provide_database_interface)) async

Get scheduled runs for a set of deployments. Used by a runner to poll for work.

Source code in src/prefect/server/api/deployments.py

@router.post("/get_scheduled_flow_runs")
async def get_scheduled_flow_runs_for_deployments(
    background_tasks: BackgroundTasks,
    deployment_ids: List[UUID] = Body(
        default=..., description="The deployment IDs to get scheduled runs for"
    ),
    scheduled_before: DateTime = Body(
        None, description="The maximum time to look for scheduled flow runs"
    ),
    limit: int = dependencies.LimitBody(),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> List[schemas.responses.FlowRunResponse]:
    """
    Get scheduled runs for a set of deployments. Used by a runner to poll for work.
    """
    async with db.session_context() as session:
        orm_flow_runs = await models.flow_runs.read_flow_runs(
            session=session,
            limit=limit,
            deployment_filter=schemas.filters.DeploymentFilter(
                id=schemas.filters.DeploymentFilterId(any_=deployment_ids),
            ),
            flow_run_filter=schemas.filters.FlowRunFilter(
                next_scheduled_start_time=schemas.filters.FlowRunFilterNextScheduledStartTime(
                    before_=scheduled_before
                ),
                state=schemas.filters.FlowRunFilterState(
                    type=schemas.filters.FlowRunFilterStateType(
                        any_=[schemas.states.StateType.SCHEDULED]
                    )
                ),
            ),
            sort=schemas.sorting.FlowRunSort.NEXT_SCHEDULED_START_TIME_ASC,
        )

        flow_run_responses = [
            schemas.responses.FlowRunResponse.model_validate(
                orm_flow_run, from_attributes=True
            )
            for orm_flow_run in orm_flow_runs
        ]

    background_tasks.add_task(
        mark_deployments_ready,
        deployment_ids=deployment_ids,
    )

    return flow_run_responses

paginate_deployments(limit=dependencies.LimitBody(), page=Body(1, ge=1), flows=None, flow_runs=None, task_runs=None, deployments=None, work_pools=None, work_pool_queues=None, sort=Body(schemas.sorting.DeploymentSort.NAME_ASC), db=Depends(provide_database_interface)) async

Pagination query for flow runs.

Source code in src/prefect/server/api/deployments.py

@router.post("/paginate")
async def paginate_deployments(
    limit: int = dependencies.LimitBody(),
    page: int = Body(1, ge=1),
    flows: schemas.filters.FlowFilter = None,
    flow_runs: schemas.filters.FlowRunFilter = None,
    task_runs: schemas.filters.TaskRunFilter = None,
    deployments: schemas.filters.DeploymentFilter = None,
    work_pools: schemas.filters.WorkPoolFilter = None,
    work_pool_queues: schemas.filters.WorkQueueFilter = None,
    sort: schemas.sorting.DeploymentSort = Body(
        schemas.sorting.DeploymentSort.NAME_ASC
    ),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> DeploymentPaginationResponse:
    """
    Pagination query for flow runs.
    """
    offset = (page - 1) * limit

    async with db.session_context() as session:
        response = await models.deployments.read_deployments(
            session=session,
            offset=offset,
            sort=sort,
            limit=limit,
            flow_filter=flows,
            flow_run_filter=flow_runs,
            task_run_filter=task_runs,
            deployment_filter=deployments,
            work_pool_filter=work_pools,
            work_queue_filter=work_pool_queues,
        )

        count = await models.deployments.count_deployments(
            session=session,
            flow_filter=flows,
            flow_run_filter=flow_runs,
            task_run_filter=task_runs,
            deployment_filter=deployments,
            work_pool_filter=work_pools,
            work_queue_filter=work_pool_queues,
        )

    results = [
        schemas.responses.DeploymentResponse.model_validate(
            deployment, from_attributes=True
        )
        for deployment in response
    ]

    return DeploymentPaginationResponse(
        results=results,
        count=count,
        limit=limit,
        pages=(count + limit - 1) // limit,
        page=page,
    )

pause_deployment(deployment_id=Path(..., description='The deployment id', alias='id'), db=Depends(provide_database_interface)) async

Set a deployment schedule to inactive. Any auto-scheduled runs still in a Scheduled state will be deleted.

Source code in src/prefect/server/api/deployments.py

@router.post("/{id:uuid}/pause_deployment")
async def pause_deployment(
    deployment_id: UUID = Path(..., description="The deployment id", alias="id"),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> None:
    """
    Set a deployment schedule to inactive. Any auto-scheduled runs still in a Scheduled
    state will be deleted.
    """
    async with db.session_context(begin_transaction=False) as session:
        deployment = await models.deployments.read_deployment(
            session=session, deployment_id=deployment_id
        )
        if not deployment:
            raise HTTPException(
                status_code=status.HTTP_404_NOT_FOUND, detail="Deployment not found"
            )
        deployment.paused = True

        # commit here to make the inactive schedule "visible" to the scheduler service
        await session.commit()

        # delete any auto scheduled runs
        await models.deployments._delete_scheduled_runs(
            session=session,
            deployment_id=deployment_id,
            auto_scheduled_only=True,
        )

        await session.commit()

read_deployment(deployment_id=Path(..., description='The deployment id', alias='id'), db=Depends(provide_database_interface)) async

Get a deployment by id.

Source code in src/prefect/server/api/deployments.py

@router.get("/{id}")
async def read_deployment(
    deployment_id: UUID = Path(..., description="The deployment id", alias="id"),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> schemas.responses.DeploymentResponse:
    """
    Get a deployment by id.
    """
    async with db.session_context() as session:
        deployment = await models.deployments.read_deployment(
            session=session, deployment_id=deployment_id
        )
        if not deployment:
            raise HTTPException(
                status_code=status.HTTP_404_NOT_FOUND, detail="Deployment not found"
            )
        return schemas.responses.DeploymentResponse.model_validate(
            deployment, from_attributes=True
        )

read_deployment_by_name(flow_name=Path(..., description='The name of the flow'), deployment_name=Path(..., description='The name of the deployment'), db=Depends(provide_database_interface)) async

Get a deployment using the name of the flow and the deployment.

Source code in src/prefect/server/api/deployments.py

@router.get("/name/{flow_name}/{deployment_name}")
async def read_deployment_by_name(
    flow_name: str = Path(..., description="The name of the flow"),
    deployment_name: str = Path(..., description="The name of the deployment"),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> schemas.responses.DeploymentResponse:
    """
    Get a deployment using the name of the flow and the deployment.
    """
    async with db.session_context() as session:
        deployment = await models.deployments.read_deployment_by_name(
            session=session, name=deployment_name, flow_name=flow_name
        )
        if not deployment:
            raise HTTPException(
                status.HTTP_404_NOT_FOUND, detail="Deployment not found"
            )
        return schemas.responses.DeploymentResponse.model_validate(
            deployment, from_attributes=True
        )

read_deployments(limit=dependencies.LimitBody(), offset=Body(0, ge=0), flows=None, flow_runs=None, task_runs=None, deployments=None, work_pools=None, work_pool_queues=None, sort=Body(schemas.sorting.DeploymentSort.NAME_ASC), db=Depends(provide_database_interface)) async

Query for deployments.

Source code in src/prefect/server/api/deployments.py

@router.post("/filter")
async def read_deployments(
    limit: int = dependencies.LimitBody(),
    offset: int = Body(0, ge=0),
    flows: schemas.filters.FlowFilter = None,
    flow_runs: schemas.filters.FlowRunFilter = None,
    task_runs: schemas.filters.TaskRunFilter = None,
    deployments: schemas.filters.DeploymentFilter = None,
    work_pools: schemas.filters.WorkPoolFilter = None,
    work_pool_queues: schemas.filters.WorkQueueFilter = None,
    sort: schemas.sorting.DeploymentSort = Body(
        schemas.sorting.DeploymentSort.NAME_ASC
    ),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> List[schemas.responses.DeploymentResponse]:
    """
    Query for deployments.
    """
    async with db.session_context() as session:
        response = await models.deployments.read_deployments(
            session=session,
            offset=offset,
            sort=sort,
            limit=limit,
            flow_filter=flows,
            flow_run_filter=flow_runs,
            task_run_filter=task_runs,
            deployment_filter=deployments,
            work_pool_filter=work_pools,
            work_queue_filter=work_pool_queues,
        )
        return [
            schemas.responses.DeploymentResponse.model_validate(
                deployment, from_attributes=True
            )
            for deployment in response
        ]

resume_deployment(deployment_id=Path(..., description='The deployment id', alias='id'), db=Depends(provide_database_interface)) async

Set a deployment schedule to active. Runs will be scheduled immediately.

Source code in src/prefect/server/api/deployments.py

@router.post("/{id:uuid}/resume_deployment")
async def resume_deployment(
    deployment_id: UUID = Path(..., description="The deployment id", alias="id"),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> None:
    """
    Set a deployment schedule to active. Runs will be scheduled immediately.
    """
    async with db.session_context(begin_transaction=True) as session:
        deployment = await models.deployments.read_deployment(
            session=session, deployment_id=deployment_id
        )
        if not deployment:
            raise HTTPException(
                status_code=status.HTTP_404_NOT_FOUND, detail="Deployment not found"
            )
        deployment.paused = False

schedule_deployment(deployment_id=Path(..., description='The deployment id', alias='id'), start_time=Body(None, description='The earliest date to schedule'), end_time=Body(None, description='The latest date to schedule'), min_time=Body(None, description='Runs will be scheduled until at least this long after the `start_time`', json_schema_extra={'format': 'time-delta'}), min_runs=Body(None, description='The minimum number of runs to schedule'), max_runs=Body(None, description='The maximum number of runs to schedule'), db=Depends(provide_database_interface)) async

Schedule runs for a deployment. For backfills, provide start/end times in the past.

This function will generate the minimum number of runs that satisfy the min and max times, and the min and max counts. Specifically, the following order will be respected.

- Runs will be generated starting on or after the `start_time`
- No more than `max_runs` runs will be generated
- No runs will be generated after `end_time` is reached
- At least `min_runs` runs will be generated
- Runs will be generated until at least `start_time + min_time` is reached

Source code in src/prefect/server/api/deployments.py

@router.post("/{id}/schedule")
async def schedule_deployment(
    deployment_id: UUID = Path(..., description="The deployment id", alias="id"),
    start_time: DateTime = Body(None, description="The earliest date to schedule"),
    end_time: DateTime = Body(None, description="The latest date to schedule"),
    # Workaround for the fact that FastAPI does not let us configure ser_json_timedelta
    # to represent timedeltas as floats in JSON.
    min_time: float = Body(
        None,
        description=(
            "Runs will be scheduled until at least this long after the `start_time`"
        ),
        json_schema_extra={"format": "time-delta"},
    ),
    min_runs: int = Body(None, description="The minimum number of runs to schedule"),
    max_runs: int = Body(None, description="The maximum number of runs to schedule"),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> None:
    """
    Schedule runs for a deployment. For backfills, provide start/end times in the past.

    This function will generate the minimum number of runs that satisfy the min
    and max times, and the min and max counts. Specifically, the following order
    will be respected.

        - Runs will be generated starting on or after the `start_time`
        - No more than `max_runs` runs will be generated
        - No runs will be generated after `end_time` is reached
        - At least `min_runs` runs will be generated
        - Runs will be generated until at least `start_time + min_time` is reached
    """
    if isinstance(min_time, float):
        min_time = datetime.timedelta(seconds=min_time)

    async with db.session_context(begin_transaction=True) as session:
        await models.deployments.schedule_runs(
            session=session,
            deployment_id=deployment_id,
            start_time=start_time,
            min_time=min_time,
            end_time=end_time,
            min_runs=min_runs,
            max_runs=max_runs,
        )

work_queue_check_for_deployment(deployment_id=Path(..., description='The deployment id', alias='id'), db=Depends(provide_database_interface)) async

Get list of work-queues that are able to pick up the specified deployment.

This endpoint is intended to be used by the UI to provide users warnings about deployments that are unable to be executed because there are no work queues that will pick up their runs, based on existing filter criteria. It may be deprecated in the future because there is not a strict relationship between work queues and deployments.

Source code in src/prefect/server/api/deployments.py

@router.get("/{id}/work_queue_check", deprecated=True)
async def work_queue_check_for_deployment(
    deployment_id: UUID = Path(..., description="The deployment id", alias="id"),
    db: PrefectDBInterface = Depends(provide_database_interface),
) -> List[schemas.core.WorkQueue]:
    """
    Get list of work-queues that are able to pick up the specified deployment.

    This endpoint is intended to be used by the UI to provide users warnings
    about deployments that are unable to be executed because there are no work
    queues that will pick up their runs, based on existing filter criteria. It
    may be deprecated in the future because there is not a strict relationship
    between work queues and deployments.
    """
    try:
        async with db.session_context() as session:
            work_queues = await models.deployments.check_work_queues_for_deployment(
                session=session, deployment_id=deployment_id
            )
    except ObjectNotFoundError:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND, detail="Deployment not found"
        )
    return work_queues