# Copyright 2025 - Oumi
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from enum import Enum
from typing import TYPE_CHECKING, Any, Optional
from oumi.core.configs import JobConfig
from oumi.core.launcher import JobStatus
from oumi.utils.logging import logger
from oumi.utils.str_utils import try_str_to_bool
if TYPE_CHECKING:
import sky
import sky.data
def _get_sky_cloud_from_job(job: JobConfig) -> "sky.clouds.Cloud":
"""Returns the sky.Cloud object from the JobConfig."""
# Delay sky import: https://github.com/oumi-ai/oumi/issues/1605
import sky
if job.resources.cloud == SkyClient.SupportedClouds.GCP.value:
return sky.clouds.GCP()
elif job.resources.cloud == SkyClient.SupportedClouds.RUNPOD.value:
return sky.clouds.RunPod()
elif job.resources.cloud == SkyClient.SupportedClouds.LAMBDA.value:
return sky.clouds.Lambda()
elif job.resources.cloud == SkyClient.SupportedClouds.AWS.value:
return sky.clouds.AWS()
elif job.resources.cloud == SkyClient.SupportedClouds.AZURE.value:
return sky.clouds.Azure()
raise ValueError(f"Unsupported cloud: {job.resources.cloud}")
def _get_sky_storage_mounts_from_job(job: JobConfig) -> dict[str, "sky.data.Storage"]:
"""Returns the sky.StorageMount objects from the JobConfig."""
# Delay sky import: https://github.com/oumi-ai/oumi/issues/1605
import sky.data
sky_mounts = {}
for k, v in job.storage_mounts.items():
storage_mount = sky.data.Storage(
source=v.source,
)
sky_mounts[k] = storage_mount
return sky_mounts
def _get_use_spot_vm_override() -> Optional[bool]:
"""Determines whether to override `use_spot_vm` setting based on OUMI_USE_SPOT_VM.
Fetches the override value from the OUMI_USE_SPOT_VM environment variable
if specified.
Returns:
The override value if specified, or `None`.
"""
_ENV_VAR_NAME = "OUMI_USE_SPOT_VM"
s = os.environ.get(_ENV_VAR_NAME, "")
mode = s.lower().replace("-", "").replace("_", "").strip()
if not mode or mode in ("config",):
return None
bool_result = try_str_to_bool(mode)
if bool_result is not None:
return bool_result
if mode in ("spot", "preemptible", "preemptable"):
return True
elif mode in ("nonspot", "nonpreemptible", "nonpreemptable"):
return False
raise ValueError(f"{_ENV_VAR_NAME} has unsupported value: '{s}'.")
def _convert_job_to_task(job: JobConfig) -> "sky.Task":
"""Converts a JobConfig to a sky.Task."""
# Delay sky import: https://github.com/oumi-ai/oumi/issues/1605
import sky
sky_cloud = _get_sky_cloud_from_job(job)
use_spot_vm = _get_use_spot_vm_override()
if use_spot_vm is None:
use_spot_vm = job.resources.use_spot
elif use_spot_vm != job.resources.use_spot:
logger.info(f"Set use_spot={use_spot_vm} based on 'OUMI_USE_SPOT_VM' override.")
resources = sky.Resources(
cloud=sky_cloud,
instance_type=job.resources.instance_type,
cpus=job.resources.cpus,
memory=job.resources.memory,
accelerators=job.resources.accelerators,
use_spot=use_spot_vm,
region=job.resources.region,
zone=job.resources.zone,
disk_size=job.resources.disk_size,
disk_tier=job.resources.disk_tier,
image_id=job.resources.image_id,
)
sky_task = sky.Task(
name=job.name,
setup=job.setup,
run=job.run,
envs=job.envs,
workdir=job.working_dir,
num_nodes=job.num_nodes,
)
sky_task.set_file_mounts(job.file_mounts)
sky_task.set_storage_mounts(_get_sky_storage_mounts_from_job(job))
sky_task.set_resources(resources)
return sky_task
[docs]
class SkyClient:
"""A wrapped client for communicating with Sky Pilot."""
[docs]
class SupportedClouds(Enum):
"""Enum representing the supported clouds."""
AWS = "aws"
AZURE = "azure"
GCP = "gcp"
RUNPOD = "runpod"
LAMBDA = "lambda"
def __init__(self):
"""Initializes a new instance of the SkyClient class."""
# Delay sky import: https://github.com/oumi-ai/oumi/issues/1605
import sky
self._sky_lib = sky
[docs]
def launch(
self, job: JobConfig, cluster_name: Optional[str] = None, **kwargs
) -> JobStatus:
"""Creates a cluster and starts the provided Job.
Args:
job: The job to execute on the cluster.
cluster_name: The name of the cluster to create.
kwargs: Additional arguments to pass to the Sky Pilot client.
Returns:
A JobStatus with only `id` and `cluster` populated.
"""
sky_cloud = _get_sky_cloud_from_job(job)
sky_task = _convert_job_to_task(job)
# Set autostop if supported by the cloud, defaulting to 60 minutes if not
# specified by the user. Currently, Lambda and RunPod do not support autostop.
idle_minutes_to_autostop = None
try:
sky_resources = next(iter(sky_task.resources))
# This will raise an exception if the cloud does not support stopping.
sky_cloud.check_features_are_supported(
sky_resources,
requested_features={
self._sky_lib.clouds.CloudImplementationFeatures.STOP
},
)
autostop_kw = "idle_minutes_to_autostop"
# Default to 60 minutes.
idle_minutes_to_autostop = 60
if autostop_kw in kwargs:
idle_minutes_to_autostop = kwargs.get(autostop_kw)
logger.info(f"Setting autostop to {idle_minutes_to_autostop} minutes.")
else:
logger.info(
"No idle_minutes_to_autostop provided. "
f"Defaulting to {idle_minutes_to_autostop} minutes."
)
except Exception:
logger.info(
f"{sky_cloud._REPR} does not support stopping clusters. "
"Will not set autostop."
)
job_id, resource_handle = self._sky_lib.launch(
sky_task,
cluster_name=cluster_name,
detach_run=True,
idle_minutes_to_autostop=idle_minutes_to_autostop,
)
if job_id is None or resource_handle is None:
raise RuntimeError("Failed to launch job.")
return JobStatus(
name="",
id=str(job_id),
cluster=resource_handle.cluster_name,
status="",
metadata="",
done=False,
)
[docs]
def status(self) -> list[dict[str, Any]]:
"""Gets a list of cluster statuses.
Returns:
A list of dictionaries, each containing the status of a cluster.
"""
return self._sky_lib.status()
[docs]
def queue(self, cluster_name: str) -> list[dict]:
"""Gets the job queue of a cluster.
Args:
cluster_name: The name of the cluster to get the queue for.
Returns:
A list of dictionaries, each containing the metadata of a cluster.
"""
return self._sky_lib.queue(cluster_name)
[docs]
def cancel(self, cluster_name: str, job_id: str) -> None:
"""Gets the job queue of a cluster.
Args:
cluster_name: The name of the cluster to cancel the job on.
job_id: The ID of the job to cancel.
"""
self._sky_lib.cancel(cluster_name, int(job_id))
[docs]
def exec(self, job: JobConfig, cluster_name: str) -> str:
"""Executes the specified job on the target cluster.
Args:
job: The job to execute.
cluster_name: The name of the cluster to execute the job on.
Returns:
The ID of the job that was created.
"""
job_id, _ = self._sky_lib.exec(
_convert_job_to_task(job), cluster_name, detach_run=True
)
if job_id is None:
raise RuntimeError("Failed to submit job.")
return str(job_id)
[docs]
def stop(self, cluster_name: str) -> None:
"""Stops the target cluster.
Args:
cluster_name: The name of the cluster to stop.
"""
self._sky_lib.stop(cluster_name)
[docs]
def down(self, cluster_name: str) -> None:
"""Tears down the target cluster.
Args:
cluster_name: The name of the cluster to tear down.
"""
self._sky_lib.down(cluster_name)
