mirror of
https://github.com/clearml/clearml-agent
synced 2025-06-26 18:16:15 +00:00
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2 Commits
| Author | SHA1 | Date | |
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d74b9f105b | ||
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d0b8eeed15 |
@@ -235,7 +235,8 @@
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docker_internal_mounts {
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sdk_cache: "/clearml_agent_cache"
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apt_cache: "/var/cache/apt/archives"
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ssh_folder: "/root/.ssh"
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ssh_folder: "~/.ssh"
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ssh_ro_folder: "/.ssh"
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pip_cache: "/root/.cache/pip"
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poetry_cache: "/root/.cache/pypoetry"
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vcs_cache: "/root/.clearml/vcs-cache"
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@@ -3542,6 +3542,7 @@ class Worker(ServiceCommandSection):
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mounted_vcs_cache = temp_config.get("agent.vcs_cache.path")
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mounted_venvs_cache = temp_config.get("agent.venvs_cache.path", "")
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mount_ssh = temp_config.get("agent.docker_internal_mounts.ssh_folder", None)
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mount_ssh_ro = temp_config.get("agent.docker_internal_mounts.ssh_ro_folder", None)
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mount_apt_cache = temp_config.get("agent.docker_internal_mounts.apt_cache", None)
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mount_pip_cache = temp_config.get("agent.docker_internal_mounts.pip_cache", None)
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mount_poetry_cache = temp_config.get("agent.docker_internal_mounts.poetry_cache", None)
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@@ -3573,6 +3574,7 @@ class Worker(ServiceCommandSection):
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preprocess_bash_script=preprocess_bash_script,
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install_opencv_libs=install_opencv_libs,
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mount_ssh=mount_ssh,
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mount_ssh_ro=mount_ssh_ro,
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mount_apt_cache=mount_apt_cache,
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mount_pip_cache=mount_pip_cache,
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mount_poetry_cache=mount_poetry_cache,
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@@ -3626,7 +3628,7 @@ class Worker(ServiceCommandSection):
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auth_token=None,
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worker_tags=None,
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name=None,
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mount_ssh=None, mount_apt_cache=None, mount_pip_cache=None, mount_poetry_cache=None,
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mount_ssh=None, mount_ssh_ro=None, mount_apt_cache=None, mount_pip_cache=None, mount_poetry_cache=None,
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env_task_id=None,
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):
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self.debug("Constructing docker command", context="docker")
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@@ -3770,7 +3772,7 @@ class Worker(ServiceCommandSection):
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clearml_agent_wheel = 'clearml-agent{specify_version}'.format(specify_version=specify_version)
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mount_ssh = mount_ssh or '/root/.ssh'
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mount_ssh_ro = "{}_ro".format(mount_ssh.rstrip("/"))
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mount_ssh_ro = mount_ssh_ro or "{}_ro".format(mount_ssh.rstrip("/"))
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mount_apt_cache = mount_apt_cache or '/var/cache/apt/archives'
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mount_pip_cache = mount_pip_cache or '/root/.cache/pip'
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mount_poetry_cache = mount_poetry_cache or '/root/.cache/pypoetry'
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@@ -130,6 +130,7 @@ class K8sIntegration(Worker):
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"""
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super(K8sIntegration, self).__init__()
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self.k8s_pending_queue_name = k8s_pending_queue_name or self.K8S_PENDING_QUEUE
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self.k8s_pending_queue_id = None
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self.kubectl_cmd = kubectl_cmd or self.KUBECTL_RUN_CMD
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self.container_bash_script = container_bash_script or self.CONTAINER_BASH_SCRIPT
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# Always do system packages, because by we will be running inside a docker
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@@ -394,17 +395,17 @@ class K8sIntegration(Worker):
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# push task into the k8s queue, so we have visibility on pending tasks in the k8s scheduler
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try:
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print('Pushing task {} into temporary pending queue'.format(task_id))
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res = self._session.api_client.tasks.stop(task_id, force=True)
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_ = self._session.api_client.tasks.stop(task_id, force=True)
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res = self._session.api_client.tasks.enqueue(
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task_id,
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queue=self.k8s_pending_queue_name,
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queue=self.k8s_pending_queue_id,
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status_reason='k8s pending scheduler',
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)
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if res.meta.result_code != 200:
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raise Exception(res.meta.result_msg)
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except Exception as e:
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self.log.error("ERROR: Could not push back task [{}] to k8s pending queue [{}], error: {}".format(
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task_id, self.k8s_pending_queue_name, e))
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self.log.error("ERROR: Could not push back task [{}] to k8s pending queue {} [{}], error: {}".format(
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task_id, self.k8s_pending_queue_name, self.k8s_pending_queue_id, e))
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return
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container = get_task_container(self._session, task_id)
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@@ -765,13 +766,13 @@ class K8sIntegration(Worker):
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events_service = self.get_service(Events)
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# make sure we have a k8s pending queue
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# noinspection PyBroadException
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try:
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self._session.api_client.queues.create(self.k8s_pending_queue_name)
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except Exception:
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pass
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# get queue id
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self.k8s_pending_queue_name = self._resolve_name(self.k8s_pending_queue_name, "queues")
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if not self.k8s_pending_queue_id:
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resolved_ids = self._resolve_queue_names([self.k8s_pending_queue_name], create_if_missing=True)
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if not resolved_ids:
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raise ValueError(
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"Failed resolving or creating k8s pending queue {}".format(self.k8s_pending_queue_name)
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)
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self.k8s_pending_queue_id = resolved_ids[0]
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_last_machine_update_ts = 0
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while True:
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