TaskAddParameter Class

An Azure Batch Task to add.

Batch will retry Tasks when a recovery operation is triggered on a Node. Examples of recovery operations include (but are not limited to) when an unhealthy 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.

Inheritance

msrest.serialization.Model

TaskAddParameter

Constructor

TaskAddParameter(*, id: str, command_line: str, display_name: str = None, container_settings=None, exit_conditions=None, resource_files=None, output_files=None, environment_settings=None, affinity_info=None, constraints=None, required_slots: int = None, user_identity=None, multi_instance_settings=None, depends_on=None, application_package_references=None, authentication_token_settings=None, **kwargs)

Parameters

Name	Description
id Required	str Required. 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).
display_name Required	str The display name need not be unique and can contain any Unicode characters up to a maximum length of 1024.
command_line Required	str Required. 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).
container_settings Required	TaskContainerSettings 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. Files produced in the container outside of AZ_BATCH_NODE_ROOT_DIR might not be reflected to the host disk, meaning that Batch file APIs will not be able to access those files.
exit_conditions Required	ExitConditions How the Batch service should respond when the Task completes.
resource_files Required	list[ResourceFile] 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.
output_files Required	list[OutputFile] For multi-instance Tasks, the files will only be uploaded from the Compute Node on which the primary Task is executed.
environment_settings Required	list[EnvironmentSetting]
affinity_info Required	AffinityInformation A locality hint that can be used by the Batch service to select a Compute Node on which to start the new Task.
constraints Required	TaskConstraints The execution constraints that apply to this Task. If you do not specify constraints, the maxTaskRetryCount is the maxTaskRetryCount specified for the Job, the maxWallClockTime is infinite, and the retentionTime is 7 days.
required_slots Required	int The number of scheduling slots that the Task required to run. The default is 1. A Task can only be scheduled to run on a compute node if the node has enough free scheduling slots available. For multi-instance Tasks, this must be 1.
user_identity Required	UserIdentity The user identity under which the Task runs. If omitted, the Task runs as a non-administrative user unique to the Task.
multi_instance_settings Required	MultiInstanceSettings An object that indicates that the Task is a multi-instance Task, and contains information about how to run the multi-instance Task.
depends_on Required	TaskDependencies 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.
application_package_references Required	list[ApplicationPackageReference] Application packages are downloaded and deployed to a shared directory, not the Task working directory. Therefore, if a referenced package is already on the Node, and is up to date, then it is not re-downloaded; the existing copy on the Compute Node is used. If a referenced Package cannot be installed, for example because the package has been deleted or because download failed, the Task fails.
authentication_token_settings Required	AuthenticationTokenSettings 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.

Keyword-Only Parameters

Name	Description
id Required
command_line Required
display_name Required
container_settings Required
exit_conditions Required
resource_files Required
output_files Required
environment_settings Required
affinity_info Required
constraints Required
required_slots Required
user_identity Required
multi_instance_settings Required
depends_on Required
application_package_references Required
authentication_token_settings Required

Methods

as_dict	Return a dict that can be JSONify using json.dump. Advanced usage might optionally use a callback as parameter: Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains 'type' with the msrest type and 'key' with the RestAPI encoded key. Value is the current value in this object. The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict. See the three examples in this file: attribute_transformer full_restapi_key_transformer last_restapi_key_transformer If you want XML serialization, you can pass the kwargs is_xml=True.
deserialize	Parse a str using the RestAPI syntax and return a model.
enable_additional_properties_sending
from_dict	Parse a dict using given key extractor return a model. By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
is_xml_model
serialize	Return the JSON that would be sent to azure from this model. This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False). If you want XML serialization, you can pass the kwargs is_xml=True.
validate	Validate this model recursively and return a list of ValidationError.

as_dict

Return a dict that can be JSONify using json.dump.

Advanced usage might optionally use a callback as parameter:

Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains 'type' with the msrest type and 'key' with the RestAPI encoded key. Value is the current value in this object.

The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.

See the three examples in this file:

• attribute_transformer

• full_restapi_key_transformer

• last_restapi_key_transformer

If you want XML serialization, you can pass the kwargs is_xml=True.

as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)

Parameters

Name	Description
key_transformer	<xref:function> A key transformer function.
keep_readonly	Default value: True

Returns

Type	Description
dict	A dict JSON compatible object

deserialize

Parse a str using the RestAPI syntax and return a model.

deserialize(data, content_type=None)

Parameters

Name	Description
data Required	str A str using RestAPI structure. JSON by default.
content_type	str JSON by default, set application/xml if XML. Default value: None

Returns

Type	Description
	An instance of this model

Exceptions

Type	Description
DeserializationError if something went wrong

enable_additional_properties_sending

enable_additional_properties_sending()

from_dict

Parse a dict using given key extractor return a model.

By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)

from_dict(data, key_extractors=None, content_type=None)

Parameters

Name	Description
data Required	dict A dict using RestAPI structure
content_type	str JSON by default, set application/xml if XML. Default value: None
key_extractors	Default value: None

Returns

Type	Description
	An instance of this model

Exceptions

Type	Description
DeserializationError if something went wrong

is_xml_model

is_xml_model()

serialize

Return the JSON that would be sent to azure from this model.

This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).

If you want XML serialization, you can pass the kwargs is_xml=True.

serialize(keep_readonly=False, **kwargs)

Parameters

Name	Description
keep_readonly	bool If you want to serialize the readonly attributes Default value: False

Returns

Type	Description
dict	A dict JSON compatible object

validate

Validate this model recursively and return a list of ValidationError.

validate()

Returns

Type	Description
list	A list of validation error