ManagedNotebookServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.notebooks_v1.services.managed_notebook_service.transports.base.ManagedNotebookServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
API v1 service for Managed Notebooks.
Properties
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
ManagedNotebookServiceTransport | The transport used by the client instance. |
Methods
ManagedNotebookServiceClient
ManagedNotebookServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.notebooks_v1.services.managed_notebook_service.transports.base.ManagedNotebookServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the managed notebook service client.
Parameters | |
---|---|
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str, ManagedNotebookServiceTransport]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. It won't take effect if a |
client_info |
google.api_core.gapic_v1.client_info.ClientInfo
The client info used to send a user-agent string along with API requests. If |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If mutual TLS transport creation failed for any reason. |
__exit__
__exit__(type, value, traceback)
Releases underlying transport's resources.
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
create_runtime
create_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.CreateRuntimeRequest, dict]] = None, *, parent: Optional[str] = None, runtime_id: Optional[str] = None, runtime: Optional[google.cloud.notebooks_v1.types.runtime.Runtime] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a new Runtime in a given project and location.
from google.cloud import notebooks_v1
def sample_create_runtime():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.CreateRuntimeRequest(
parent="parent_value",
runtime_id="runtime_id_value",
)
# Make the request
operation = client.create_runtime(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.CreateRuntimeRequest, dict]
The request object. Request for creating a Managed Notebook Runtime. |
parent |
str
Required. Format: |
runtime_id |
str
Required. User-defined unique ID of this Runtime. This corresponds to the |
runtime |
google.cloud.notebooks_v1.types.Runtime
Required. The Runtime to be created. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance. |
delete_runtime
delete_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.DeleteRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes a single Runtime.
from google.cloud import notebooks_v1
def sample_delete_runtime():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.DeleteRuntimeRequest(
name="name_value",
)
# Make the request
operation = client.delete_runtime(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.DeleteRuntimeRequest, dict]
The request object. Request for deleting a Managed Notebook Runtime. |
name |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
ManagedNotebookServiceClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
ManagedNotebookServiceClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
ManagedNotebookServiceClient | The constructed client. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variabel is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_runtime
get_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.GetRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single Runtime. The location must be a regional endpoint rather than zonal.
from google.cloud import notebooks_v1
def sample_get_runtime():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.GetRuntimeRequest(
name="name_value",
)
# Make the request
response = client.get_runtime(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.GetRuntimeRequest, dict]
The request object. Request for getting a Managed Notebook Runtime. |
name |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.notebooks_v1.types.Runtime | The definition of a Runtime for a managed notebook instance. |
list_runtimes
list_runtimes(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.ListRuntimesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists Runtimes in a given project and location.
from google.cloud import notebooks_v1
def sample_list_runtimes():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.ListRuntimesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_runtimes(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.ListRuntimesRequest, dict]
The request object. Request for listing Managed Notebook Runtimes. |
parent |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.notebooks_v1.services.managed_notebook_service.pagers.ListRuntimesPager | Response for listing Managed Notebook Runtimes. Iterating over this object will yield results and resolve additional pages automatically. |
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_runtime_path
parse_runtime_path(path: str)
Parses a runtime path into its component segments.
refresh_runtime_token_internal
refresh_runtime_token_internal(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.RefreshRuntimeTokenInternalRequest, dict]] = None, *, name: Optional[str] = None, vm_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets an access token for the consumer service account that the customer attached to the runtime. Only accessible from the tenant instance.
from google.cloud import notebooks_v1
def sample_refresh_runtime_token_internal():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.RefreshRuntimeTokenInternalRequest(
name="name_value",
vm_id="vm_id_value",
)
# Make the request
response = client.refresh_runtime_token_internal(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalRequest, dict]
The request object. Request for getting a new access token. |
name |
str
Required. Format: |
vm_id |
str
Required. The VM hardware token for authenticating the VM. https://cloud.google.com/compute/docs/instances/verifying-instance-identity This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalResponse | Response with a new access token. |
report_runtime_event
report_runtime_event(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.ReportRuntimeEventRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Report and process a runtime event.
from google.cloud import notebooks_v1
def sample_report_runtime_event():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.ReportRuntimeEventRequest(
name="name_value",
vm_id="vm_id_value",
)
# Make the request
operation = client.report_runtime_event(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.ReportRuntimeEventRequest, dict]
The request object. Request for reporting a Managed Notebook Event. |
name |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance. |
reset_runtime
reset_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.ResetRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Resets a Managed Notebook Runtime.
from google.cloud import notebooks_v1
def sample_reset_runtime():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.ResetRuntimeRequest(
name="name_value",
)
# Make the request
operation = client.reset_runtime(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.ResetRuntimeRequest, dict]
The request object. Request for resetting a Managed Notebook Runtime. |
name |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance. |
runtime_path
runtime_path(project: str, location: str, runtime: str)
Returns a fully-qualified runtime string.
start_runtime
start_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.StartRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Starts a Managed Notebook Runtime. Perform "Start" on GPU instances; "Resume" on CPU instances See: https://cloud.google.com/compute/docs/instances/stop-start-instance https://cloud.google.com/compute/docs/instances/suspend-resume-instance
from google.cloud import notebooks_v1
def sample_start_runtime():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.StartRuntimeRequest(
name="name_value",
)
# Make the request
operation = client.start_runtime(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.StartRuntimeRequest, dict]
The request object. Request for starting a Managed Notebook Runtime. |
name |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance. |
stop_runtime
stop_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.StopRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Stops a Managed Notebook Runtime. Perform "Stop" on GPU instances; "Suspend" on CPU instances See: https://cloud.google.com/compute/docs/instances/stop-start-instance https://cloud.google.com/compute/docs/instances/suspend-resume-instance
from google.cloud import notebooks_v1
def sample_stop_runtime():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.StopRuntimeRequest(
name="name_value",
)
# Make the request
operation = client.stop_runtime(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.StopRuntimeRequest, dict]
The request object. Request for stopping a Managed Notebook Runtime. |
name |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance. |
switch_runtime
switch_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.SwitchRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Switch a Managed Notebook Runtime.
from google.cloud import notebooks_v1
def sample_switch_runtime():
# Create a client
client = notebooks_v1.ManagedNotebookServiceClient()
# Initialize request argument(s)
request = notebooks_v1.SwitchRuntimeRequest(
name="name_value",
)
# Make the request
operation = client.switch_runtime(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.notebooks_v1.types.SwitchRuntimeRequest, dict]
The request object. Request for switching a Managed Notebook Runtime. |
name |
str
Required. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance. |