Add K8S_GLUE_POD_USE_IMAGE_ENTRYPOINT to allow running images without overriding the entrypoint (useful for agents using prebuilt images in k8s)

This commit is contained in:
allegroai 2024-07-24 17:46:27 +03:00
parent 2f0553b873
commit edc333ba5f
3 changed files with 21 additions and 1 deletions

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@ -167,6 +167,7 @@ ENV_AGENT_GIT_USER = EnvironmentConfig("CLEARML_AGENT_GIT_USER", "TRAINS_AGENT_G
ENV_AGENT_GIT_PASS = EnvironmentConfig("CLEARML_AGENT_GIT_PASS", "TRAINS_AGENT_GIT_PASS")
ENV_AGENT_GIT_HOST = EnvironmentConfig("CLEARML_AGENT_GIT_HOST", "TRAINS_AGENT_GIT_HOST")
ENV_AGENT_DISABLE_SSH_MOUNT = EnvironmentConfig("CLEARML_AGENT_DISABLE_SSH_MOUNT", type=bool)
ENV_AGENT_DEBUG_GET_NEXT_TASK = EnvironmentConfig("CLEARML_AGENT_DEBUG_GET_NEXT_TASK", type=bool)
ENV_SSH_AUTH_SOCK = EnvironmentConfig("SSH_AUTH_SOCK")
ENV_TASK_EXECUTE_AS_USER = EnvironmentConfig("CLEARML_AGENT_EXEC_USER", "TRAINS_AGENT_EXEC_USER")
ENV_TASK_EXTRA_PYTHON_PATH = EnvironmentConfig("CLEARML_AGENT_EXTRA_PYTHON_PATH", "TRAINS_AGENT_EXTRA_PYTHON_PATH")

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@ -12,3 +12,9 @@ ENV_POD_MONITOR_LOG_BATCH_SIZE = EnvEntry("K8S_GLUE_POD_MONITOR_LOG_BATCH_SIZE",
ENV_POD_MONITOR_DISABLE_ENQUEUE_ON_PREEMPTION = EnvEntry(
"K8S_GLUE_POD_MONITOR_DISABLE_ENQUEUE_ON_PREEMPTION", default=False, converter=bool
)
ENV_POD_USE_IMAGE_ENTRYPOINT = EnvEntry("K8S_GLUE_POD_USE_IMAGE_ENTRYPOINT", default=False, converter=bool)
"""
Do not inject a cmd and args to the container's image when building the k8s template (depend on the built-in image
entrypoint)
"""

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@ -25,6 +25,7 @@ from clearml_agent.definitions import (
ENV_AGENT_GIT_USER,
ENV_AGENT_GIT_PASS,
ENV_FORCE_SYSTEM_SITE_PACKAGES,
ENV_AGENT_DEBUG_GET_NEXT_TASK,
)
from clearml_agent.errors import APIError, UsageError
from clearml_agent.glue.errors import GetPodCountError
@ -40,6 +41,7 @@ from clearml_agent.glue.definitions import (
ENV_START_AGENT_SCRIPT_PATH,
ENV_DEFAULT_EXECUTION_AGENT_ARGS,
ENV_POD_AGENT_INSTALL_ARGS,
ENV_POD_USE_IMAGE_ENTRYPOINT,
)
@ -692,6 +694,13 @@ class K8sIntegration(Worker):
if not found_worker_id:
container['env'] = env_vars + [{'name': 'CLEARML_WORKER_ID', 'value': task_worker_id}]
if ENV_POD_USE_IMAGE_ENTRYPOINT.get():
# Don't add a cmd and args, just the image
return self._merge_containers(
container, dict(name=pod_name, image=docker_image)
)
# Create bash script for container and
container_bash_script = [self.container_bash_script] if isinstance(self.container_bash_script, str) \
else self.container_bash_script
@ -771,7 +780,7 @@ class K8sIntegration(Worker):
spec.setdefault('backoffLimit', 0)
spec_template = spec.setdefault('template', {})
if labels:
# Place same labels fro any pod spawned by the job
# Place same labels for any pod spawned by the job
place_labels(spec_template.setdefault('metadata', {}))
spec = spec_template.setdefault('spec', {})
@ -992,6 +1001,8 @@ class K8sIntegration(Worker):
:param worker_params: Worker command line arguments
:type worker_params: ``clearml_agent.helper.process.WorkerParams``
"""
# print("debug> running tasks loop")
events_service = self.get_service(Events)
# make sure we have a k8s pending queue
@ -1023,12 +1034,14 @@ class K8sIntegration(Worker):
continue
# iterate over queues (priority style, queues[0] is highest)
# print("debug> iterating over queues")
for queue in queues:
# delete old completed / failed pods
self._cleanup_old_pods(namespaces, extra_msg="Cleanup cycle {cmd}")
# get next task in queue
try:
# print(f"debug> getting tasks for queue {queue}")
response = self._get_next_task(queue=queue, get_task_info=self._impersonate_as_task_owner)
except Exception as e:
print("Warning: Could not access task queue [{}], error: {}".format(queue, e))