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# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.serialization import Model
class TaskAddParameter(Model):
"""An Azure Batch task to add.
Batch will retry tasks when a recovery operation is triggered on a compute
node. Examples of recovery operations include (but are not limited to) when
an unhealthy compute node is rebooted or a compute node disappeared due to
host failure. Retries due to recovery operations are independent of and are
not counted against the maxTaskRetryCount. Even if the maxTaskRetryCount is
0, an internal retry due to a recovery operation may occur. Because of
this, all tasks should be idempotent. This means tasks need to tolerate
being interrupted and restarted without causing any corruption or duplicate
data. The best practice for long running tasks is to use some form of
checkpointing.
All required parameters must be populated in order to send to Azure.
:param id: Required. A string that uniquely identifies the task within the
job. The ID can contain any combination of alphanumeric characters
including hyphens and underscores, and cannot contain more than 64
characters. The ID is case-preserving and case-insensitive (that is, you
may not have two IDs within a job that differ only by case).
:type id: str
:param display_name: A display name for the task. The display name need
not be unique and can contain any Unicode characters up to a maximum
length of 1024.
:type display_name: str
:param command_line: Required. The command line of the task. For
multi-instance tasks, the command line is executed as the primary task,
after the primary task and all subtasks have finished executing the
coordination command line. The command line does not run under a shell,
and therefore cannot take advantage of shell features such as environment
variable expansion. If you want to take advantage of such features, you
should invoke the shell in the command line, for example using "cmd /c
MyCommand" in Windows or "/bin/sh -c MyCommand" in Linux. If the command
line refers to file paths, it should use a relative path (relative to the
task working directory), or use the Batch provided environment variable
(https://docs.microsoft.com/en-us/azure/batch/batch-compute-node-environment-variables).
:type command_line: str
:param container_settings: The settings for the container under which the
task runs. If the pool that will run this task has containerConfiguration
set, this must be set as well. If the pool that will run this task doesn't
have containerConfiguration set, this must not be set. When this is
specified, all directories recursively below the AZ_BATCH_NODE_ROOT_DIR
(the root of Azure Batch directories on the node) are mapped into the
container, all task environment variables are mapped into the container,
and the task command line is executed in the container.
:type container_settings: ~azure.batch.models.TaskContainerSettings
:param exit_conditions: How the Batch service should respond when the task
completes.
:type exit_conditions: ~azure.batch.models.ExitConditions
:param resource_files: A list of files that the Batch service will
download to the compute node before running the command line. For
multi-instance tasks, the resource files will only be downloaded to the
compute node on which the primary task is executed. There is a maximum
size for the list of resource files. When the max size is exceeded, the
request will fail and the response error code will be
RequestEntityTooLarge. If this occurs, the collection of ResourceFiles
must be reduced in size. This can be achieved using .zip files,
Application Packages, or Docker Containers.
:type resource_files: list[~azure.batch.models.ResourceFile]
:param output_files: A list of files that the Batch service will upload
from the compute node after running the command line. For multi-instance
tasks, the files will only be uploaded from the compute node on which the
primary task is executed.
:type output_files: list[~azure.batch.models.OutputFile]
:param environment_settings: A list of environment variable settings for
the task.
:type environment_settings: list[~azure.batch.models.EnvironmentSetting]
:param affinity_info: A locality hint that can be used by the Batch
service to select a compute node on which to start the new task.
:type affinity_info: ~azure.batch.models.AffinityInformation
:param constraints: The execution constraints that apply to this task. If
you do not specify constraints, the maxTaskRetryCount is the
maxTaskRetryCount specified for the job, and the maxWallClockTime and
retentionTime are infinite.
:type constraints: ~azure.batch.models.TaskConstraints
:param user_identity: The user identity under which the task runs. If
omitted, the task runs as a non-administrative user unique to the task.
:type user_identity: ~azure.batch.models.UserIdentity
:param multi_instance_settings: An object that indicates that the task is
a multi-instance task, and contains information about how to run the
multi-instance task.
:type multi_instance_settings: ~azure.batch.models.MultiInstanceSettings
:param depends_on: The tasks that this task depends on. This task will not
be scheduled until all tasks that it depends on have completed
successfully. If any of those tasks fail and exhaust their retry counts,
this task will never be scheduled. If the job does not have
usesTaskDependencies set to true, and this element is present, the request
fails with error code TaskDependenciesNotSpecifiedOnJob.
:type depends_on: ~azure.batch.models.TaskDependencies
:param application_package_references: A list of application packages that
the Batch service will deploy to the compute node before running the
command line. Application packages are downloaded and deployed to a shared
directory, not the task working directory. Therefore, if a referenced
package is already on the compute node, and is up to date, then it is not
re-downloaded; the existing copy on the compute node is used. If a
referenced application package cannot be installed, for example because
the package has been deleted or because download failed, the task fails.
:type application_package_references:
list[~azure.batch.models.ApplicationPackageReference]
:param authentication_token_settings: The settings for an authentication
token that the task can use to perform Batch service operations. If this
property is set, the Batch service provides the task with an
authentication token which can be used to authenticate Batch service
operations without requiring an account access key. The token is provided
via the AZ_BATCH_AUTHENTICATION_TOKEN environment variable. The operations
that the task can carry out using the token depend on the settings. For
example, a task can request job permissions in order to add other tasks to
the job, or check the status of the job or of other tasks under the job.
:type authentication_token_settings:
~azure.batch.models.AuthenticationTokenSettings
"""
_validation = {
'id': {'required': True},
'command_line': {'required': True},
}
_attribute_map = {
'id': {'key': 'id', 'type': 'str'},
'display_name': {'key': 'displayName', 'type': 'str'},
'command_line': {'key': 'commandLine', 'type': 'str'},
'container_settings': {'key': 'containerSettings', 'type': 'TaskContainerSettings'},
'exit_conditions': {'key': 'exitConditions', 'type': 'ExitConditions'},
'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'},
'output_files': {'key': 'outputFiles', 'type': '[OutputFile]'},
'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'},
'affinity_info': {'key': 'affinityInfo', 'type': 'AffinityInformation'},
'constraints': {'key': 'constraints', 'type': 'TaskConstraints'},
'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'},
'multi_instance_settings': {'key': 'multiInstanceSettings', 'type': 'MultiInstanceSettings'},
'depends_on': {'key': 'dependsOn', 'type': 'TaskDependencies'},
'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
'authentication_token_settings': {'key': 'authenticationTokenSettings', 'type': 'AuthenticationTokenSettings'},
}
def __init__(self, **kwargs):
super(TaskAddParameter, self).__init__(**kwargs)
self.id = kwargs.get('id', None)
self.display_name = kwargs.get('display_name', None)
self.command_line = kwargs.get('command_line', None)
self.container_settings = kwargs.get('container_settings', None)
self.exit_conditions = kwargs.get('exit_conditions', None)
self.resource_files = kwargs.get('resource_files', None)
self.output_files = kwargs.get('output_files', None)
self.environment_settings = kwargs.get('environment_settings', None)
self.affinity_info = kwargs.get('affinity_info', None)
self.constraints = kwargs.get('constraints', None)
self.user_identity = kwargs.get('user_identity', None)
self.multi_instance_settings = kwargs.get('multi_instance_settings', None)
self.depends_on = kwargs.get('depends_on', None)
self.application_package_references = kwargs.get('application_package_references', None)
self.authentication_token_settings = kwargs.get('authentication_token_settings', None)
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