decorative_secrets.databricks
DatabricksWorkspaceClientArguments
dataclass
An object holding arguments to pass to a Databricks workspace client if/when retrieving secrets remotely.
Source code in src/decorative_secrets/databricks.py
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apply_databricks_secrets_arguments
apply_databricks_secrets_arguments(
*args: decorative_secrets.databricks.DatabricksWorkspaceClientArguments,
**kwargs: str
) -> collections.abc.Callable
This decorator maps parameter names to Databricks secrets.
Each key in databricks_secret_arguments represents the name of a
parameter in the decorated function which accepts an explicit input, and
the corresponding mapped value is a parameter name accepting a tuple with
the secret scope and key with which to lookup a secret to pass to the
mapped parameter in lieu of an explicitly provided argument.
Parameters:
-
*args(decorative_secrets.databricks.DatabricksWorkspaceClientArguments, default:()) –A
DatabricksWorkspaceConfigArgumentsinstance to configure a workspace client when retrieving secrets remotely (if more than one is provided, only the first is used). -
**kwargs(str, default:{}) –A mapping of static parameter names to the parameter names of arguments accepting Databricks secret scope + key tuples from which to retrieve a value when the key argument is not explicitly provided.
Example
from functools import (
cache,
)
from decorative_secrets.databricks import (
apply_databricks_secret_arguments,
)
from my_client_sdk import (
Client,
)
@cache
@apply_databricks_secret_arguments(
client_id="client_id_databricks_secret",
client_secret="client_secret_databricks_secret",
)
def get_client(
client_id: str | None = None,
client_secret: str = None,
client_id_databricks_secret: str | None = None,
client_secret_databricks_secret: str | None = None,
) -> Client:
return Client(
oauth2_client_id=client_id,
oauth2_client_secret=client_secret,
)
client: Client = get_client(
client_id_databricks_secret=(
"client",
"client-id",
),
client_secret_databricks_secret=(
"client",
"client-secret",
),
)
Source code in src/decorative_secrets/databricks.py
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which_databricks
which_databricks(*, timeout: float | None = 60) -> str
Find the databricks executable, or install the Databricks CLI if not
found.
Source code in src/decorative_secrets/databricks.py
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databricks_auth_login
databricks_auth_login(
host: str | None = None,
profile: str | None = None,
target: str | None = None,
*,
force: bool = False,
timeout: float | None = 60
) -> None
Log in to Databricks using the CLI if not already logged in.
Parameters:
-
host(str | None, default:None) –A Databricks workspace host URL.
-
profile(str | None, default:None) –A Databricks Configuration Profile.
-
target(str | None, default:None) –A Databricks CLI target.
-
force(bool, default:False) –Whether to force login even if already authenticated.
-
timeout(float | None, default:60) –A timeout in seconds for the login operation.
Raises:
-
subprocess.CalledProcessError–If the Databricks CLI command returns a non-zero exit code
-
FileNotFoundError–If the Databricks CLI is not found.
-
decorative_secrets.errors.DatabricksCLINotInstalledError–If the Databricks CLI cannot be installed.
-
TimeoutExpired–If the command takes longer than
timeoutseconds to complete
Source code in src/decorative_secrets/databricks.py
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get_databricks_workspace_client
get_databricks_workspace_client(
host: str | None = None,
account_id: str | None = None,
username: str | None = None,
password: str | None = None,
client_id: str | None = None,
client_secret: str | None = None,
token: str | None = None,
profile: str | None = None,
config_file: str | None = None,
azure_workspace_resource_id: str | None = None,
azure_client_secret: str | None = None,
azure_client_id: str | None = None,
azure_tenant_id: str | None = None,
azure_environment: str | None = None,
auth_type: str | None = None,
cluster_id: str | None = None,
google_credentials: str | None = None,
google_service_account: str | None = None,
debug_truncate_bytes: int | None = None,
*,
debug_headers: bool | None = None,
product: str | None = None,
product_version: str | None = None,
credentials_strategy: (
databricks.sdk.credentials_provider.CredentialsStrategy
| None
) = None,
credentials_provider: (
databricks.sdk.credentials_provider.CredentialsStrategy
| None
) = None,
token_audience: str | None = None,
config: databricks.sdk.config.Config | None = None,
timeout: float | None = 60
) -> databricks.sdk.WorkspaceClient
Get a Databricks WorkspaceClient configured from environment variables.
Source code in src/decorative_secrets/databricks.py
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get_dbutils
get_dbutils(
host: str | None = None,
account_id: str | None = None,
username: str | None = None,
password: str | None = None,
client_id: str | None = None,
client_secret: str | None = None,
token: str | None = None,
profile: str | None = None,
config_file: str | None = None,
azure_workspace_resource_id: str | None = None,
azure_client_secret: str | None = None,
azure_client_id: str | None = None,
azure_tenant_id: str | None = None,
azure_environment: str | None = None,
auth_type: str | None = None,
cluster_id: str | None = None,
google_credentials: str | None = None,
google_service_account: str | None = None,
debug_truncate_bytes: int | None = None,
*,
debug_headers: bool | None = None,
product: str = "unknown",
product_version: str = "0.0.0",
credentials_strategy: (
databricks.sdk.credentials_provider.CredentialsStrategy
| None
) = None,
credentials_provider: (
databricks.sdk.credentials_provider.CredentialsStrategy
| None
) = None,
token_audience: str | None = None,
config: databricks.sdk.config.Config | None = None,
timeout: float | None = 60
) -> databricks.sdk.dbutils.RemoteDbUtils
Get dbutils using an existing instance from the runtime if found, otherwise, creating one using a workspace client (this requires either having these environment variables set , or providing the equivalent optional arguments.
Source code in src/decorative_secrets/databricks.py
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get_databricks_secret
get_databricks_secret(
scope: str,
key: str,
host: str | None = None,
account_id: str | None = None,
username: str | None = None,
password: str | None = None,
client_id: str | None = None,
client_secret: str | None = None,
token: str | None = None,
profile: str | None = None,
config_file: str | None = None,
azure_workspace_resource_id: str | None = None,
azure_client_secret: str | None = None,
azure_client_id: str | None = None,
azure_tenant_id: str | None = None,
azure_environment: str | None = None,
auth_type: str | None = None,
cluster_id: str | None = None,
google_credentials: str | None = None,
google_service_account: str | None = None,
debug_truncate_bytes: int | None = None,
*,
debug_headers: bool | None = None,
product: str = "unknown",
product_version: str = "0.0.0",
credentials_strategy: (
databricks.sdk.credentials_provider.CredentialsStrategy
| None
) = None,
credentials_provider: (
databricks.sdk.credentials_provider.CredentialsStrategy
| None
) = None,
token_audience: str | None = None,
config: databricks.sdk.config.Config | None = None,
timeout: float | None = 60
) -> str
Get a secret from Databricks.
Parameters:
-
scope(str) –The Databricks secret scope.
-
key(str) –The Databricks secret key.
-
host(str | None, default:None) –A Databricks workspace host URL.
-
account_id(str | None, default:None) –A Databricks account ID.
-
username(str | None, default:None) –A Databricks username.
-
password(str | None, default:None) –A Databricks password.
-
client_id(str | None, default:None) –A Databricks OAuth2 Client ID.
-
client_secret(str | None, default:None) –A Databricks OAuth2 Client Secret.
-
token(str | None, default:None) –A Databricks Personal Access Token.
-
profile(str | None, default:None) –A Databricks Configuration Profile.
-
config_file(str | None, default:None) –A Databricks Configuration File path.
-
azure_workspace_resource_id(str | None, default:None) –An Azure Databricks Workspace Resource ID.
-
azure_client_secret(str | None, default:None) –An Azure Client Secret for Azure Databricks auth.
-
azure_client_id(str | None, default:None) –An Azure Client ID for Azure Databricks auth.
-
azure_tenant_id(str | None, default:None) –An Azure Tenant ID for Azure Databricks auth.
-
azure_environment(str | None, default:None) –An Azure Environment for Azure Databricks auth.
-
auth_type(str | None, default:None) –A Databricks authentication type.
-
cluster_id(str | None, default:None) –A Databricks cluster ID.
-
google_credentials(str | None, default:None) –Google Cloud credentials for GCP Databricks auth.
-
google_service_account(str | None, default:None) –A Google Service Account for GCP Databricks auth.
-
debug_truncate_bytes(int | None, default:None) –Number of bytes to truncate in debug logs.
-
debug_headers(bool | None, default:None) –Whether to enable debug logging of HTTP headers.
-
product(str, default:'unknown') –The product name using the SDK.
-
product_version(str, default:'0.0.0') –The product version using the SDK.
-
credentials_strategy(databricks.sdk.credentials_provider.CredentialsStrategy | None, default:None) –A credentials strategy for the SDK.
-
credentials_provider(databricks.sdk.credentials_provider.CredentialsStrategy | None, default:None) –A credentials provider for the SDK.
-
token_audience(str | None, default:None) –A token audience for the SDK.
-
config(databricks.sdk.config.Config | None, default:None) –A Databricks SDK Config instance.
-
timeout(float | None, default:60) –A timeout in seconds for any underlying Databricks CLI invocation (e.g. an implicit
databricks auth login).
Source code in src/decorative_secrets/databricks.py
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main
main() -> None
Run a command: - install: Install the Databricks CLI if not already installed - get: Get a secret from Databricks and print it to stdout
Source code in src/decorative_secrets/databricks.py
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