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Source code for dagster_azure.adls2.resources

from dagster import Field, Selector, StringSource, resource
from dagster.utils.merger import merge_dicts
from dagster_azure.blob.utils import create_blob_client

from .file_manager import ADLS2FileManager
from .utils import create_adls2_client

ADLS2_CLIENT_CONFIG = {
    "storage_account": Field(StringSource, description="The storage account name."),
    "credential": Field(
        Selector(
            {
                "sas": Field(StringSource, description="SAS token for the account."),
                "key": Field(StringSource, description="Shared Access Key for the account"),
            }
        ),
        description="The credentials with which to authenticate.",
    ),
}


[docs]@resource(ADLS2_CLIENT_CONFIG) def adls2_resource(context): """Resource that gives solids access to Azure Data Lake Storage Gen2. The underlying client is a :py:class:`~azure.storage.filedatalake.DataLakeServiceClient`. Attach this resource definition to a :py:class:`~dagster.ModeDefinition` in order to make it available to your solids. Example: .. code-block:: python from dagster import ModeDefinition, execute_solid, solid from dagster_azure.adls2 import adls2_resource @solid(required_resource_keys={'adls2'}) def example_adls2_solid(context): return list(context.resources.adls2.adls2_client.list_file_systems()) result = execute_solid( example_adls2_solid, run_config={ 'resources': { 'adls2': { 'config': { 'storage_account': 'my_storage_account' } } } }, mode_def=ModeDefinition(resource_defs={'adls2': adls2_resource}), ) Note that your solids must also declare that they require this resource with `required_resource_keys`, or it will not be initialized for the execution of their compute functions. You may pass credentials to this resource using either a SAS token or a key, using environment variables if desired: .. code-block:: YAML resources: adls2: config: storage_account: my_storage_account # str: The storage account name. credential: sas: my_sas_token # str: the SAS token for the account. key: env: AZURE_DATA_LAKE_STORAGE_KEY # str: The shared access key for the account. """ return _adls2_resource_from_config(context.resource_config)
[docs]@resource( merge_dicts( ADLS2_CLIENT_CONFIG, { "adls2_file_system": Field(StringSource, description="ADLS Gen2 file system name"), "adls2_prefix": Field(StringSource, is_required=False, default_value="dagster"), }, ) ) def adls2_file_manager(context): """FileManager that provides abstract access to ADLS2. Implements the :py:class:`~dagster.core.storage.file_manager.FileManager` API. """ adls2_client = _adls2_resource_from_config(context.resource_config).adls2_client return ADLS2FileManager( adls2_client=adls2_client, file_system=context.resource_config["adls2_file_system"], prefix=context.resource_config["adls2_prefix"], )
class ADLS2Resource: """Resource containing clients to access Azure Data Lake Storage Gen2. Contains a client for both the Data Lake and Blob APIs, to work around the limitations of each. """ def __init__(self, storage_account, credential): self._adls2_client = create_adls2_client(storage_account, credential) self._blob_client = create_blob_client(storage_account, credential) @property def adls2_client(self): return self._adls2_client @property def blob_client(self): return self._blob_client def _adls2_resource_from_config(config): """ Args: config: A configuration containing the fields in ADLS2_CLIENT_CONFIG. Returns: An adls2 client. """ storage_account = config["storage_account"] credential = config["credential"].copy().popitem()[1] return ADLS2Resource(storage_account, credential)