prefect.server.models.deployments

Functions for interacting with deployment ORM objects. Intended for internal use by the Prefect REST API.

check_work_queues_for_deployment(session, deployment_id) async

Get work queues that can pick up the specified deployment.

Work queues will pick up a deployment when all of the following are met.

• The deployment has ALL tags that the work queue has (i.e. the work queue's tags must be a subset of the deployment's tags).
• The work queue's specified deployment IDs match the deployment's ID, or the work queue does NOT have specified deployment IDs.
• The work queue's specified flow runners match the deployment's flow runner or the work queue does NOT have a specified flow runner.

Notes on the query:

• Our database currently allows either "null" and empty lists as null values in filters, so we need to catch both cases with "or".
• json_contains(A, B) should be interpreted as "True if A contains B".

Returns:

Type	Description
Sequence[WorkQueue]	List[orm_models.WorkQueue]: WorkQueues

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

async def check_work_queues_for_deployment(
    session: AsyncSession, deployment_id: UUID
) -> Sequence[orm_models.WorkQueue]:
    """
    Get work queues that can pick up the specified deployment.

    Work queues will pick up a deployment when all of the following are met.

    - The deployment has ALL tags that the work queue has (i.e. the work
    queue's tags must be a subset of the deployment's tags).
    - The work queue's specified deployment IDs match the deployment's ID,
    or the work queue does NOT have specified deployment IDs.
    - The work queue's specified flow runners match the deployment's flow
    runner or the work queue does NOT have a specified flow runner.

    Notes on the query:

    - Our database currently allows either "null" and empty lists as
    null values in filters, so we need to catch both cases with "or".
    - `json_contains(A, B)` should be interpreted as "True if A
    contains B".

    Returns:
        List[orm_models.WorkQueue]: WorkQueues
    """
    deployment = await session.get(orm_models.Deployment, deployment_id)
    if not deployment:
        raise ObjectNotFoundError(f"Deployment with id {deployment_id} not found")

    query = (
        select(orm_models.WorkQueue)
        # work queue tags are a subset of deployment tags
        .filter(
            or_(
                json_contains(deployment.tags, orm_models.WorkQueue.filter["tags"]),
                json_contains([], orm_models.WorkQueue.filter["tags"]),
                json_contains(None, orm_models.WorkQueue.filter["tags"]),
            )
        )
        # deployment_ids is null or contains the deployment's ID
        .filter(
            or_(
                json_contains(
                    orm_models.WorkQueue.filter["deployment_ids"],
                    str(deployment.id),
                ),
                json_contains(None, orm_models.WorkQueue.filter["deployment_ids"]),
                json_contains([], orm_models.WorkQueue.filter["deployment_ids"]),
            )
        )
    )

    result = await session.execute(query)
    return result.scalars().unique().all()

count_deployments(session, flow_filter=None, flow_run_filter=None, task_run_filter=None, deployment_filter=None, work_pool_filter=None, work_queue_filter=None) async

Count deployments.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
flow_filter	Optional[FlowFilter]	only count deployments whose flows match these criteria	None
flow_run_filter	Optional[FlowRunFilter]	only count deployments whose flow runs match these criteria	None
task_run_filter	Optional[TaskRunFilter]	only count deployments whose task runs match these criteria	None
deployment_filter	Optional[DeploymentFilter]	only count deployment that match these filters	None
work_pool_filter	Optional[WorkPoolFilter]	only count deployments that match these work pool filters	None
work_queue_filter	Optional[WorkQueueFilter]	only count deployments that match these work pool queue filters	None

Returns:

Name	Type	Description
int	int	the number of deployments matching filters

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

async def count_deployments(
    session: AsyncSession,
    flow_filter: Optional[schemas.filters.FlowFilter] = None,
    flow_run_filter: Optional[schemas.filters.FlowRunFilter] = None,
    task_run_filter: Optional[schemas.filters.TaskRunFilter] = None,
    deployment_filter: Optional[schemas.filters.DeploymentFilter] = None,
    work_pool_filter: Optional[schemas.filters.WorkPoolFilter] = None,
    work_queue_filter: Optional[schemas.filters.WorkQueueFilter] = None,
) -> int:
    """
    Count deployments.

    Args:
        session: A database session
        flow_filter: only count deployments whose flows match these criteria
        flow_run_filter: only count deployments whose flow runs match these criteria
        task_run_filter: only count deployments whose task runs match these criteria
        deployment_filter: only count deployment that match these filters
        work_pool_filter: only count deployments that match these work pool filters
        work_queue_filter: only count deployments that match these work pool queue filters

    Returns:
        int: the number of deployments matching filters
    """

    query = select(sa.func.count(sa.text("*"))).select_from(orm_models.Deployment)

    query = await _apply_deployment_filters(
        query=query,
        flow_filter=flow_filter,
        flow_run_filter=flow_run_filter,
        task_run_filter=task_run_filter,
        deployment_filter=deployment_filter,
        work_pool_filter=work_pool_filter,
        work_queue_filter=work_queue_filter,
    )

    result = await session.execute(query)
    return result.scalar_one()

create_deployment(db, session, deployment) async

Upserts a deployment.

Parameters:

Name	Type	Description	Default
session	AsyncSession	a database session	required
deployment	Deployment	a deployment model	required

Returns:

Type	Description
Optional[Deployment]	orm_models.Deployment: the newly-created or updated deployment

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

@db_injector
async def create_deployment(
    db: PrefectDBInterface,
    session: AsyncSession,
    deployment: schemas.core.Deployment,
) -> Optional[orm_models.Deployment]:
    """Upserts a deployment.

    Args:
        session: a database session
        deployment: a deployment model

    Returns:
        orm_models.Deployment: the newly-created or updated deployment

    """

    # set `updated` manually
    # known limitation of `on_conflict_do_update`, will not use `Column.onupdate`
    # https://docs.sqlalchemy.org/en/14/dialects/sqlite.html#the-set-clause
    deployment.updated = pendulum.now("UTC")  # type: ignore[assignment]

    schedules = deployment.schedules
    insert_values = deployment.model_dump_for_orm(
        exclude_unset=True, exclude={"schedules"}
    )

    # The job_variables field in client and server schemas is named
    # infra_overrides in the database.
    job_variables = insert_values.pop("job_variables", None)
    if job_variables:
        insert_values["infra_overrides"] = job_variables

    conflict_update_fields = deployment.model_dump_for_orm(
        exclude_unset=True,
        exclude={"id", "created", "created_by", "schedules", "job_variables"},
    )
    if job_variables:
        conflict_update_fields["infra_overrides"] = job_variables

    insert_stmt = (
        db.insert(orm_models.Deployment)
        .values(**insert_values)
        .on_conflict_do_update(
            index_elements=db.deployment_unique_upsert_columns,
            set_={**conflict_update_fields},
        )
    )

    await session.execute(insert_stmt)

    # Get the id of the deployment we just created or updated
    result = await session.execute(
        sa.select(orm_models.Deployment.id).where(
            sa.and_(
                orm_models.Deployment.flow_id == deployment.flow_id,
                orm_models.Deployment.name == deployment.name,
            )
        )
    )
    deployment_id = result.scalar_one_or_none()

    if not deployment_id:
        return None

    # Because this was possibly an upsert, we need to delete any existing
    # schedules and any runs from the old deployment.

    await _delete_scheduled_runs(
        session=session, deployment_id=deployment_id, auto_scheduled_only=True
    )

    await delete_schedules_for_deployment(session=session, deployment_id=deployment_id)

    if schedules:
        await create_deployment_schedules(
            session=session,
            deployment_id=deployment_id,
            schedules=[
                schemas.actions.DeploymentScheduleCreate(
                    schedule=schedule.schedule,
                    active=schedule.active,  # type: ignore[call-arg]
                    max_active_runs=schedule.max_active_runs,
                    catchup=schedule.catchup,
                )
                for schedule in schedules
            ],
        )

    query = (
        sa.select(orm_models.Deployment)
        .where(
            sa.and_(
                orm_models.Deployment.flow_id == deployment.flow_id,
                orm_models.Deployment.name == deployment.name,
            )
        )
        .execution_options(populate_existing=True)
    )
    refreshed_result = await session.execute(query)
    return refreshed_result.scalar()

create_deployment_schedules(session, deployment_id, schedules) async

Creates a deployment's schedules.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
deployment_id	UUID	a deployment id	required
schedules	List[DeploymentScheduleCreate]	a list of deployment schedule create actions	required

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

async def create_deployment_schedules(
    session: AsyncSession,
    deployment_id: UUID,
    schedules: List[schemas.actions.DeploymentScheduleCreate],
) -> List[schemas.core.DeploymentSchedule]:
    """
    Creates a deployment's schedules.

    Args:
        session: A database session
        deployment_id: a deployment id
        schedules: a list of deployment schedule create actions
    """

    schedules_with_deployment_id = []
    for schedule in schedules:
        data = schedule.model_dump()
        data["deployment_id"] = deployment_id
        schedules_with_deployment_id.append(data)

    models = [
        orm_models.DeploymentSchedule(**schedule)
        for schedule in schedules_with_deployment_id
    ]
    session.add_all(models)
    await session.flush()

    return [
        schemas.core.DeploymentSchedule.model_validate(m, from_attributes=True)
        for m in models
    ]

delete_deployment(session, deployment_id) async

Delete a deployment by id.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
deployment_id	UUID	a deployment id	required

Returns:

Name	Type	Description
bool	bool	whether or not the deployment was deleted

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

async def delete_deployment(session: AsyncSession, deployment_id: UUID) -> bool:
    """
    Delete a deployment by id.

    Args:
        session: A database session
        deployment_id: a deployment id

    Returns:
        bool: whether or not the deployment was deleted
    """

    # delete scheduled runs, both auto- and user- created.
    await _delete_scheduled_runs(
        session=session, deployment_id=deployment_id, auto_scheduled_only=False
    )

    result = await session.execute(
        delete(orm_models.Deployment).where(orm_models.Deployment.id == deployment_id)
    )
    return result.rowcount > 0

delete_deployment_schedule(session, deployment_id, deployment_schedule_id) async

Deletes a deployment schedule.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
deployment_schedule_id	UUID	a deployment schedule id	required

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

async def delete_deployment_schedule(
    session: AsyncSession,
    deployment_id: UUID,
    deployment_schedule_id: UUID,
) -> bool:
    """
    Deletes a deployment schedule.

    Args:
        session: A database session
        deployment_schedule_id: a deployment schedule id
    """

    result = await session.execute(
        sa.delete(orm_models.DeploymentSchedule).where(
            sa.and_(
                orm_models.DeploymentSchedule.id == deployment_schedule_id,
                orm_models.DeploymentSchedule.deployment_id == deployment_id,
            )
        )
    )

    return result.rowcount > 0

delete_schedules_for_deployment(session, deployment_id) async

Deletes a deployment schedule.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
deployment_id	UUID	a deployment id	required

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

async def delete_schedules_for_deployment(
    session: AsyncSession, deployment_id: UUID
) -> bool:
    """
    Deletes a deployment schedule.

    Args:
        session: A database session
        deployment_id: a deployment id
    """

    result = await session.execute(
        sa.delete(orm_models.DeploymentSchedule).where(
            orm_models.DeploymentSchedule.deployment_id == deployment_id
        )
    )

    return result.rowcount > 0

read_deployment(session, deployment_id) async

Reads a deployment by id.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
deployment_id	UUID	a deployment id	required

Returns:

Type	Description
Optional[Deployment]	orm_models.Deployment: the deployment

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

async def read_deployment(
    session: AsyncSession, deployment_id: UUID
) -> Optional[orm_models.Deployment]:
    """Reads a deployment by id.

    Args:
        session: A database session
        deployment_id: a deployment id

    Returns:
        orm_models.Deployment: the deployment
    """

    return await session.get(orm_models.Deployment, deployment_id)

read_deployment_by_name(session, name, flow_name) async

Reads a deployment by name.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
name	str	a deployment name	required
flow_name	str	the name of the flow the deployment belongs to	required

Returns:

Type	Description
Optional[Deployment]	orm_models.Deployment: the deployment

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

async def read_deployment_by_name(
    session: AsyncSession, name: str, flow_name: str
) -> Optional[orm_models.Deployment]:
    """Reads a deployment by name.

    Args:
        session: A database session
        name: a deployment name
        flow_name: the name of the flow the deployment belongs to

    Returns:
        orm_models.Deployment: the deployment
    """

    result = await session.execute(
        select(orm_models.Deployment)
        .join(orm_models.Flow, orm_models.Deployment.flow_id == orm_models.Flow.id)
        .where(
            sa.and_(
                orm_models.Flow.name == flow_name,
                orm_models.Deployment.name == name,
            )
        )
        .limit(1)
    )
    return result.scalar()

read_deployment_schedules(session, deployment_id, deployment_schedule_filter=None) async

Reads a deployment's schedules.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
deployment_id	UUID	a deployment id	required

Returns:

Type	Description
List[DeploymentSchedule]	list[schemas.core.DeploymentSchedule]: the deployment's schedules

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

async def read_deployment_schedules(
    session: AsyncSession,
    deployment_id: UUID,
    deployment_schedule_filter: Optional[
        schemas.filters.DeploymentScheduleFilter
    ] = None,
) -> List[schemas.core.DeploymentSchedule]:
    """
    Reads a deployment's schedules.

    Args:
        session: A database session
        deployment_id: a deployment id

    Returns:
        list[schemas.core.DeploymentSchedule]: the deployment's schedules
    """

    query = (
        sa.select(orm_models.DeploymentSchedule)
        .where(orm_models.DeploymentSchedule.deployment_id == deployment_id)
        .order_by(orm_models.DeploymentSchedule.updated.desc())
    )

    if deployment_schedule_filter:
        query = query.where(deployment_schedule_filter.as_sql_filter())

    result = await session.execute(query)

    return [
        schemas.core.DeploymentSchedule.model_validate(s, from_attributes=True)
        for s in result.scalars().all()
    ]

read_deployments(session, offset=None, limit=None, flow_filter=None, flow_run_filter=None, task_run_filter=None, deployment_filter=None, work_pool_filter=None, work_queue_filter=None, sort=schemas.sorting.DeploymentSort.NAME_ASC) async

Read deployments.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
offset	Optional[int]	Query offset	None
limit	Optional[int]	Query limit	None
flow_filter	Optional[FlowFilter]	only select deployments whose flows match these criteria	None
flow_run_filter	Optional[FlowRunFilter]	only select deployments whose flow runs match these criteria	None
task_run_filter	Optional[TaskRunFilter]	only select deployments whose task runs match these criteria	None
deployment_filter	Optional[DeploymentFilter]	only select deployment that match these filters	None
work_pool_filter	Optional[WorkPoolFilter]	only select deployments whose work pools match these criteria	None
work_queue_filter	Optional[WorkQueueFilter]	only select deployments whose work pool queues match these criteria	None
sort	DeploymentSort	the sort criteria for selected deployments. Defaults to name ASC.	NAME_ASC

Returns:

Type	Description
Sequence[Deployment]	List[orm_models.Deployment]: deployments

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

async def read_deployments(
    session: AsyncSession,
    offset: Optional[int] = None,
    limit: Optional[int] = None,
    flow_filter: Optional[schemas.filters.FlowFilter] = None,
    flow_run_filter: Optional[schemas.filters.FlowRunFilter] = None,
    task_run_filter: Optional[schemas.filters.TaskRunFilter] = None,
    deployment_filter: Optional[schemas.filters.DeploymentFilter] = None,
    work_pool_filter: Optional[schemas.filters.WorkPoolFilter] = None,
    work_queue_filter: Optional[schemas.filters.WorkQueueFilter] = None,
    sort: schemas.sorting.DeploymentSort = schemas.sorting.DeploymentSort.NAME_ASC,
) -> Sequence[orm_models.Deployment]:
    """
    Read deployments.

    Args:
        session: A database session
        offset: Query offset
        limit: Query limit
        flow_filter: only select deployments whose flows match these criteria
        flow_run_filter: only select deployments whose flow runs match these criteria
        task_run_filter: only select deployments whose task runs match these criteria
        deployment_filter: only select deployment that match these filters
        work_pool_filter: only select deployments whose work pools match these criteria
        work_queue_filter: only select deployments whose work pool queues match these criteria
        sort: the sort criteria for selected deployments. Defaults to `name` ASC.

    Returns:
        List[orm_models.Deployment]: deployments
    """

    query = select(orm_models.Deployment).order_by(sort.as_sql_sort())

    query = await _apply_deployment_filters(
        query=query,
        flow_filter=flow_filter,
        flow_run_filter=flow_run_filter,
        task_run_filter=task_run_filter,
        deployment_filter=deployment_filter,
        work_pool_filter=work_pool_filter,
        work_queue_filter=work_queue_filter,
    )

    if offset is not None:
        query = query.offset(offset)
    if limit is not None:
        query = query.limit(limit)

    result = await session.execute(query)
    return result.scalars().unique().all()

schedule_runs(session, deployment_id, start_time=None, end_time=None, min_time=None, min_runs=None, max_runs=None, auto_scheduled=True) async

Schedule flow runs for a deployment

Parameters:

Name	Type	Description	Default
session	AsyncSession	a database session	required
deployment_id	UUID	the id of the deployment to schedule	required
start_time	Optional[datetime]	the time from which to start scheduling runs	None
end_time	Optional[datetime]	runs will be scheduled until at most this time	None
min_time	Optional[timedelta]	runs will be scheduled until at least this far in the future	None
min_runs	Optional[int]	a minimum amount of runs to schedule	None
max_runs	Optional[int]	a maximum amount of runs to schedule	None

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

Returns:

Type	Description
Sequence[UUID]	a list of flow run ids scheduled for the deployment

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

async def schedule_runs(
    session: AsyncSession,
    deployment_id: UUID,
    start_time: Optional[datetime.datetime] = None,
    end_time: Optional[datetime.datetime] = None,
    min_time: Optional[datetime.timedelta] = None,
    min_runs: Optional[int] = None,
    max_runs: Optional[int] = None,
    auto_scheduled: bool = True,
) -> Sequence[UUID]:
    """
    Schedule flow runs for a deployment

    Args:
        session: a database session
        deployment_id: the id of the deployment to schedule
        start_time: the time from which to start scheduling runs
        end_time: runs will be scheduled until at most this time
        min_time: runs will be scheduled until at least this far in the future
        min_runs: a minimum amount of runs to schedule
        max_runs: a maximum amount of runs to schedule

    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

    Returns:
        a list of flow run ids scheduled for the deployment
    """
    if min_runs is None:
        min_runs = PREFECT_API_SERVICES_SCHEDULER_MIN_RUNS.value()
    if max_runs is None:
        max_runs = PREFECT_API_SERVICES_SCHEDULER_MAX_RUNS.value()
    if start_time is None:
        start_time = pendulum.now("UTC")
    if end_time is None:
        end_time = start_time + (
            PREFECT_API_SERVICES_SCHEDULER_MAX_SCHEDULED_TIME.value()
        )
    if min_time is None:
        min_time = PREFECT_API_SERVICES_SCHEDULER_MIN_SCHEDULED_TIME.value()

    start_time = pendulum.instance(start_time)
    end_time = pendulum.instance(end_time)

    runs = await _generate_scheduled_flow_runs(
        session=session,
        deployment_id=deployment_id,
        start_time=start_time,
        end_time=end_time,
        min_time=min_time,
        min_runs=min_runs,
        max_runs=max_runs,
        auto_scheduled=auto_scheduled,
    )
    return await _insert_scheduled_flow_runs(session=session, runs=runs)

update_deployment(session, deployment_id, deployment) async

Updates a deployment.

Parameters:

Name	Type	Description	Default
session	AsyncSession	a database session	required
deployment_id	UUID	the ID of the deployment to modify	required
deployment	DeploymentUpdate	changes to a deployment model	required

Returns:

Name	Type	Description
bool	bool	whether the deployment was updated

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

async def update_deployment(
    session: AsyncSession,
    deployment_id: UUID,
    deployment: schemas.actions.DeploymentUpdate,
) -> bool:
    """Updates a deployment.

    Args:
        session: a database session
        deployment_id: the ID of the deployment to modify
        deployment: changes to a deployment model

    Returns:
        bool: whether the deployment was updated

    """

    from prefect.server.api.workers import WorkerLookups

    schedules = deployment.schedules

    # exclude_unset=True allows us to only update values provided by
    # the user, ignoring any defaults on the model
    update_data = deployment.model_dump_for_orm(
        exclude_unset=True,
        exclude={"work_pool_name"},
    )

    # The job_variables field in client and server schemas is named
    # infra_overrides in the database.
    job_variables = update_data.pop("job_variables", None)
    if job_variables:
        update_data["infra_overrides"] = job_variables

    should_update_schedules = update_data.pop("schedules", None) is not None

    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.
        update_data[
            "work_queue_id"
        ] = await WorkerLookups()._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.
        update_data[
            "work_queue_id"
        ] = await WorkerLookups()._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 the queue exists and
        # get its ID.
        work_queue = await models.work_queues.ensure_work_queue_exists(
            session=session, name=update_data["work_queue_name"]
        )
        update_data["work_queue_id"] = work_queue.id

    update_stmt = (
        sa.update(orm_models.Deployment)
        .where(orm_models.Deployment.id == deployment_id)
        .values(**update_data)
    )
    result = await session.execute(update_stmt)

    # delete any auto scheduled runs that would have reflected the old deployment config
    await _delete_scheduled_runs(
        session=session, deployment_id=deployment_id, auto_scheduled_only=True
    )

    if should_update_schedules:
        # If schedules were provided, remove the existing schedules and
        # replace them with the new ones.
        await delete_schedules_for_deployment(
            session=session, deployment_id=deployment_id
        )
        await create_deployment_schedules(
            session=session,
            deployment_id=deployment_id,
            schedules=[
                schemas.actions.DeploymentScheduleCreate(
                    schedule=schedule.schedule,
                    active=schedule.active,  # type: ignore[call-arg]
                )
                for schedule in schedules
            ],
        )

    return result.rowcount > 0

update_deployment_schedule(session, deployment_id, deployment_schedule_id, schedule) async

Updates a deployment's schedules.

Parameters:

Name	Type	Description	Default
session	AsyncSession	A database session	required
deployment_schedule_id	UUID	a deployment schedule id	required
schedule	DeploymentScheduleUpdate	a deployment schedule update action	required

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

async def update_deployment_schedule(
    session: AsyncSession,
    deployment_id: UUID,
    deployment_schedule_id: UUID,
    schedule: schemas.actions.DeploymentScheduleUpdate,
) -> bool:
    """
    Updates a deployment's schedules.

    Args:
        session: A database session
        deployment_schedule_id: a deployment schedule id
        schedule: a deployment schedule update action
    """

    result = await session.execute(
        sa.update(orm_models.DeploymentSchedule)
        .where(
            sa.and_(
                orm_models.DeploymentSchedule.id == deployment_schedule_id,
                orm_models.DeploymentSchedule.deployment_id == deployment_id,
            )
        )
        .values(**schedule.model_dump(exclude_none=True))
    )

    return result.rowcount > 0