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+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import re
+from os import PathLike
+from pathlib import Path
+from typing import Dict, Optional, Union
+
+from marshmallow.exceptions import ValidationError as SchemaValidationError
+
+from azure.ai.ml._artifacts._artifact_utilities import (
+    _check_and_upload_path,
+    _get_datastore_name,
+    _get_snapshot_path_info,
+    get_datastore_info,
+)
+from azure.ai.ml._artifacts._constants import (
+    ASSET_PATH_ERROR,
+    CHANGED_ASSET_PATH_MSG,
+    CHANGED_ASSET_PATH_MSG_NO_PERSONAL_DATA,
+)
+from azure.ai.ml._exception_helper import log_and_raise_error
+from azure.ai.ml._restclient.v2021_10_01_dataplanepreview import (
+    AzureMachineLearningWorkspaces as ServiceClient102021Dataplane,
+)
+from azure.ai.ml._restclient.v2022_10_01_preview import AzureMachineLearningWorkspaces as ServiceClient102022
+from azure.ai.ml._restclient.v2023_04_01 import AzureMachineLearningWorkspaces as ServiceClient042023
+from azure.ai.ml._scope_dependent_operations import OperationConfig, OperationScope, _ScopeDependentOperations
+from azure.ai.ml._telemetry import ActivityType, monitor_with_activity
+from azure.ai.ml._utils._asset_utils import (
+    _get_existing_asset_name_and_version,
+    get_content_hash_version,
+    get_storage_info_for_non_registry_asset,
+)
+from azure.ai.ml._utils._logger_utils import OpsLogger
+from azure.ai.ml._utils._registry_utils import get_asset_body_for_registry_storage, get_sas_uri_for_registry_asset
+from azure.ai.ml._utils._storage_utils import get_storage_client
+from azure.ai.ml.entities._assets import Code
+from azure.ai.ml.exceptions import (
+    AssetPathException,
+    ErrorCategory,
+    ErrorTarget,
+    ValidationErrorType,
+    ValidationException,
+)
+from azure.ai.ml.operations._datastore_operations import DatastoreOperations
+from azure.core.exceptions import HttpResponseError
+
+# pylint: disable=protected-access
+
+
+ops_logger = OpsLogger(__name__)
+module_logger = ops_logger.module_logger
+
+
+class CodeOperations(_ScopeDependentOperations):
+    """Represents a client for performing operations on code assets.
+
+    You should not instantiate this class directly. Instead, you should create MLClient and use this client via the
+    property MLClient.code
+
+    :param operation_scope: Scope variables for the operations classes of an MLClient object.
+    :type operation_scope: ~azure.ai.ml._scope_dependent_operations.OperationScope
+    :param operation_config: Common configuration for operations classes of an MLClient object.
+    :type operation_config: ~azure.ai.ml._scope_dependent_operations.OperationConfig
+    :param service_client: Service client to allow end users to operate on Azure Machine Learning Workspace resources.
+    :type service_client: typing.Union[
+        ~azure.ai.ml._restclient.v2022_10_01_preview._azure_machine_learning_workspaces.AzureMachineLearningWorkspaces,
+        ~azure.ai.ml._restclient.v2021_10_01_dataplanepreview._azure_machine_learning_workspaces.
+        AzureMachineLearningWorkspaces,
+        ~azure.ai.ml._restclient.v2023_04_01._azure_machine_learning_workspaces.AzureMachineLearningWorkspaces]
+    :param datastore_operations: Represents a client for performing operations on Datastores.
+    :type datastore_operations: ~azure.ai.ml.operations._datastore_operations.DatastoreOperations
+    """
+
+    def __init__(
+        self,
+        operation_scope: OperationScope,
+        operation_config: OperationConfig,
+        service_client: Union[ServiceClient102022, ServiceClient102021Dataplane, ServiceClient042023],
+        datastore_operations: DatastoreOperations,
+        **kwargs: Dict,
+    ):
+        super(CodeOperations, self).__init__(operation_scope, operation_config)
+        ops_logger.update_filter()
+        self._service_client = service_client
+        self._version_operation = service_client.code_versions
+        self._container_operation = service_client.code_containers
+        self._datastore_operation = datastore_operations
+        self._init_kwargs = kwargs
+
+    @monitor_with_activity(ops_logger, "Code.CreateOrUpdate", ActivityType.PUBLICAPI)
+    def create_or_update(self, code: Code) -> Code:
+        """Returns created or updated code asset.
+
+        If not already in storage, asset will be uploaded to the workspace's default datastore.
+
+        :param code: Code asset object.
+        :type code: Code
+        :raises ~azure.ai.ml.exceptions.AssetPathException: Raised when the Code artifact path is
+            already linked to another asset
+        :raises ~azure.ai.ml.exceptions.ValidationException: Raised if Code cannot be successfully validated.
+            Details will be provided in the error message.
+        :raises ~azure.ai.ml.exceptions.EmptyDirectoryError: Raised if local path provided points to an empty directory.
+        :return: Code asset object.
+        :rtype: ~azure.ai.ml.entities.Code
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../samples/ml_samples_misc.py
+                :start-after: [START code_operations_create_or_update]
+                :end-before: [END code_operations_create_or_update]
+                :language: python
+                :dedent: 8
+                :caption: Create code asset example.
+        """
+        try:
+            name = code.name
+            version = code.version
+            sas_uri = None
+            blob_uri = None
+
+            if self._registry_name:
+                sas_uri = get_sas_uri_for_registry_asset(
+                    service_client=self._service_client,
+                    name=name,
+                    version=version,
+                    resource_group=self._resource_group_name,
+                    registry=self._registry_name,
+                    body=get_asset_body_for_registry_storage(self._registry_name, "codes", name, version),
+                )
+            else:
+                snapshot_path_info = _get_snapshot_path_info(code)
+                if snapshot_path_info:
+                    _, _, asset_hash = snapshot_path_info
+                    existing_assets = list(
+                        self._version_operation.list(
+                            resource_group_name=self._resource_group_name,
+                            workspace_name=self._workspace_name,
+                            name=name,
+                            hash=asset_hash,
+                            hash_version=str(get_content_hash_version()),
+                        )
+                    )
+
+                    if len(existing_assets) > 0:
+                        existing_asset = existing_assets[0]
+                        name, version = _get_existing_asset_name_and_version(existing_asset)
+                        return self.get(name=name, version=version)
+                    sas_info = get_storage_info_for_non_registry_asset(
+                        service_client=self._service_client,
+                        workspace_name=self._workspace_name,
+                        name=name,
+                        version=version,
+                        resource_group=self._resource_group_name,
+                    )
+                    sas_uri = sas_info["sas_uri"]
+                    blob_uri = sas_info["blob_uri"]
+
+            code, _ = _check_and_upload_path(
+                artifact=code,
+                asset_operations=self,
+                sas_uri=sas_uri,
+                artifact_type=ErrorTarget.CODE,
+                show_progress=self._show_progress,
+                blob_uri=blob_uri,
+            )
+
+            # For anonymous code, if the code already exists in storage, we reuse the name,
+            # version stored in the storage metadata so the same anonymous code won't be created again.
+            if code._is_anonymous:
+                name = code.name
+                version = code.version
+
+            code_version_resource = code._to_rest_object()
+
+            result = (
+                self._version_operation.begin_create_or_update(
+                    name=name,
+                    version=version,
+                    registry_name=self._registry_name,
+                    resource_group_name=self._operation_scope.resource_group_name,
+                    body=code_version_resource,
+                    **self._init_kwargs,
+                ).result()
+                if self._registry_name
+                else self._version_operation.create_or_update(
+                    name=name,
+                    version=version,
+                    workspace_name=self._workspace_name,
+                    resource_group_name=self._operation_scope.resource_group_name,
+                    body=code_version_resource,
+                    **self._init_kwargs,
+                )
+            )
+
+            if not result:
+                return self.get(name=name, version=version)
+            return Code._from_rest_object(result)
+        except Exception as ex:
+            if isinstance(ex, (ValidationException, SchemaValidationError)):
+                log_and_raise_error(ex)
+            elif isinstance(ex, HttpResponseError):
+                # service side raises an exception if we attempt to update an existing asset's asset path
+                if str(ex) == ASSET_PATH_ERROR:
+                    raise AssetPathException(
+                        message=CHANGED_ASSET_PATH_MSG,
+                        target=ErrorTarget.CODE,
+                        no_personal_data_message=CHANGED_ASSET_PATH_MSG_NO_PERSONAL_DATA,
+                        error_category=ErrorCategory.USER_ERROR,
+                    ) from ex
+            raise ex
+
+    @monitor_with_activity(ops_logger, "Code.Get", ActivityType.PUBLICAPI)
+    def get(self, name: str, version: str) -> Code:
+        """Returns information about the specified code asset.
+
+        :param name: Name of the code asset.
+        :type name: str
+        :param version: Version of the code asset.
+        :type version: str
+        :raises ~azure.ai.ml.exceptions.ValidationException: Raised if Code cannot be successfully validated.
+            Details will be provided in the error message.
+        :return: Code asset object.
+        :rtype: ~azure.ai.ml.entities.Code
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../samples/ml_samples_misc.py
+                :start-after: [START code_operations_get]
+                :end-before: [END code_operations_get]
+                :language: python
+                :dedent: 8
+                :caption: Get code asset example.
+        """
+        return self._get(name=name, version=version)
+
+    # this is a public API but CodeOperations is hidden, so it may only monitor internal calls
+    @monitor_with_activity(ops_logger, "Code.Download", ActivityType.PUBLICAPI)
+    def download(self, name: str, version: str, download_path: Union[PathLike, str]) -> None:
+        """Download content of a code.
+
+        :param str name: Name of the code.
+        :param str version: Version of the code.
+        :param Union[PathLike, str] download_path: Local path as download destination,
+            defaults to current working directory of the current user. Contents will be overwritten.
+        :raise: ResourceNotFoundError if can't find a code matching provided name.
+        """
+        output_dir = Path(download_path)
+        if output_dir.is_dir():
+            # an OSError will be raised if the directory is not empty
+            output_dir.rmdir()
+        output_dir.mkdir(parents=True)
+
+        code = self._get(name=name, version=version)
+
+        # TODO: how should we maintain this regex?
+        m = re.match(
+            r"https://(?P<account_name>.+)\.blob\.core\.windows\.net"
+            r"(:[0-9]+)?/(?P<container_name>.+)/(?P<blob_name>.*)",
+            str(code.path),
+        )
+        if not m:
+            raise ValueError(f"Invalid code path: {code.path}")
+
+        datastore_info = get_datastore_info(
+            self._datastore_operation,
+            # always use WORKSPACE_BLOB_STORE
+            name=_get_datastore_name(),
+            container_name=m.group("container_name"),
+        )
+        storage_client = get_storage_client(**datastore_info)
+        storage_client.download(
+            starts_with=m.group("blob_name"),
+            destination=output_dir.as_posix(),
+        )
+        if not output_dir.is_dir() or not any(output_dir.iterdir()):
+            raise RuntimeError(f"Failed to download code to {output_dir}")
+
+    def _get(self, name: str, version: Optional[str] = None) -> Code:
+        if not version:
+            msg = "Code asset version must be specified as part of name parameter, in format 'name:version'."
+            raise ValidationException(
+                message=msg,
+                target=ErrorTarget.CODE,
+                no_personal_data_message=msg,
+                error_category=ErrorCategory.USER_ERROR,
+                error_type=ValidationErrorType.INVALID_VALUE,
+            )
+        code_version_resource = (
+            self._version_operation.get(
+                name=name,
+                version=version,
+                resource_group_name=self._operation_scope.resource_group_name,
+                registry_name=self._registry_name,
+                **self._init_kwargs,
+            )
+            if self._registry_name
+            else self._version_operation.get(
+                name=name,
+                version=version,
+                resource_group_name=self._operation_scope.resource_group_name,
+                workspace_name=self._workspace_name,
+                **self._init_kwargs,
+            )
+        )
+        return Code._from_rest_object(code_version_resource)