Environment Class

Environment for training.

Inheritance

azure.ai.ml.entities._assets.asset.Asset

Environment

azure.ai.ml.entities._mixins.LocalizableMixin

Environment

Constructor

Environment(*, name: str | None = None, version: str | None = None, description: str | None = None, image: str | None = None, build: BuildContext | None = None, conda_file: str | PathLike | Dict | None = None, tags: Dict | None = None, properties: Dict | None = None, datastore: str | None = None, **kwargs: Any)

Parameters

Name	Description
name Required	str Name of the resource.
version Required	str Version of the asset.
description Required	str Description of the resource.
image Required	str URI of a custom base image.
build Required	BuildContext Docker build context to create the environment. Mutually exclusive with "image"
conda_file Required	Union[str, PathLike] Path to configuration file listing conda packages to install.
tags Required	dict[str, str] Tag dictionary. Tags can be added, removed, and updated.
properties Required	dict[str, str] The asset property dictionary.
datastore Required	str The datastore to upload the local artifact to.
kwargs Required	dict A dictionary of additional configuration parameters.

Keyword-Only Parameters

Name	Description
name Required
version Required
description Required
image Required
build Required
conda_file Required
tags Required
properties Required
datastore Required

Examples

Create a Environment object.

   from azure.ai.ml.entities._assets.environment import Environment

   environment = Environment(
       name="env-name",
       version="2.0",
       description="env-description",
       image="env-image",
       conda_file="./sdk/ml/azure-ai-ml/tests/test_configs/deployments/model-1/environment/conda.yml",
       tags={"tag1": "value1", "tag2": "value2"},
       properties={"prop1": "value1", "prop2": "value2"},
       datastore="datastore",
   )

Methods

dump	Dump the asset content into a file in YAML format.
validate	Validate the environment by checking its name, image and build

dump

Dump the asset content into a file in YAML format.

dump(dest: str | PathLike | IO, **kwargs: Any) -> None

Parameters

Name	Description
dest Required	Union[<xref:PathLike>, str, IO[AnyStr]] The local path or file stream to write the YAML content to. If dest is a file path, a new file will be created. If dest is an open file, the file will be written to directly.

Exceptions

Type	Description
FileExistsError	Raised if dest is a file path and the file already exists.
IOError	Raised if dest is an open file and the file is not writable.

validate

Validate the environment by checking its name, image and build

validate() -> None

Exceptions

Type	Description
FileExistsError	Raised if dest is a file path and the file already exists.
IOError	Raised if dest is an open file and the file is not writable.

Examples

Validate environment example.

   from azure.ai.ml.entities import BuildContext, Environment

   env_docker_context = Environment(
       build=BuildContext(
           path="./sdk/ml/azure-ai-ml/tests/test_configs/environment/environment_files",
           dockerfile_path="DockerfileNonDefault",
       ),
       name="create-environment",
       version="2.0",
       description="Environment created from a Docker context.",
   )

   env_docker_context.validate()

Attributes

base_path

The base path of the resource.

Returns

Type	Description
str	The base path of the resource.

conda_file

Conda environment specification.

Returns

Type	Description
Optional[Union[str, PathLike]]	Conda dependencies loaded from conda_file param.

creation_context

The creation context of the resource.

Returns

Type	Description
Optional[SystemData]	The creation metadata for the resource.

id

The resource ID.

Returns

Type	Description
Optional[str]	The global ID of the resource, an Azure Resource Manager (ARM) ID.

version

The asset version.

Returns

Type	Description
str	The asset version.