AssetServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.asset_v1.services.asset_service.transports.base.AssetServiceTransport] = 'grpc_asyncio', 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>)Asset service definition.
Properties
transport
Returns the transport used by the client instance.
| Type | Description |
AssetServiceTransport | The transport used by the client instance. |
Methods
AssetServiceAsyncClient
AssetServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.asset_v1.services.asset_service.transports.base.AssetServiceTransport] = 'grpc_asyncio', 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 asset service client.
| 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,
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
| Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
access_level_path
access_level_path(access_policy: str, access_level: str)Returns a fully-qualified access_level string.
access_policy_path
access_policy_path(access_policy: str)Returns a fully-qualified access_policy string.
analyze_iam_policy
analyze_iam_policy(request: Optional[Union[google.cloud.asset_v1.types.asset_service.AnalyzeIamPolicyRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Analyzes IAM policies to answer which identities have what accesses on which resources.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_analyze_iam_policy():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
analysis_query = asset_v1.IamPolicyAnalysisQuery()
analysis_query.scope = "scope_value"
request = asset_v1.AnalyzeIamPolicyRequest(
analysis_query=analysis_query,
)
# Make the request
response = await client.analyze_iam_policy(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.AnalyzeIamPolicyRequest, dict]]
The request object. A request message for AssetService.AnalyzeIamPolicy. |
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. |
| Type | Description |
google.cloud.asset_v1.types.AnalyzeIamPolicyResponse | A response message for AssetService.AnalyzeIamPolicy. |
analyze_iam_policy_longrunning
analyze_iam_policy_longrunning(request: Optional[Union[google.cloud.asset_v1.types.asset_service.AnalyzeIamPolicyLongrunningRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Analyzes IAM policies asynchronously to answer which identities
have what accesses on which resources, and writes the analysis
results to a Google Cloud Storage or a BigQuery destination. For
Cloud Storage destination, the output format is the JSON format
that represents a
xref_AnalyzeIamPolicyResponse.
This method implements the
google.longrunning.Operation][google.longrunning.Operation],
which allows you to track the operation status. We recommend
intervals of at least 2 seconds with exponential backoff retry
to poll the operation result. The metadata contains the metadata
for the long-running operation.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_analyze_iam_policy_longrunning():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
analysis_query = asset_v1.IamPolicyAnalysisQuery()
analysis_query.scope = "scope_value"
output_config = asset_v1.IamPolicyAnalysisOutputConfig()
output_config.gcs_destination.uri = "uri_value"
request = asset_v1.AnalyzeIamPolicyLongrunningRequest(
analysis_query=analysis_query,
output_config=output_config,
)
# Make the request
operation = client.analyze_iam_policy_longrunning(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.AnalyzeIamPolicyLongrunningRequest, dict]]
The request object. A request message for AssetService.AnalyzeIamPolicyLongrunning. |
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. |
| Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AnalyzeIamPolicyLongrunningResponse A response message for AssetService.AnalyzeIamPolicyLongrunning. |
analyze_move
analyze_move(request: Optional[Union[google.cloud.asset_v1.types.asset_service.AnalyzeMoveRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Analyze moving a resource to a specified destination without kicking off the actual move. The analysis is best effort depending on the user's permissions of viewing different hierarchical policies and configurations. The policies and configuration are subject to change before the actual resource migration takes place.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_analyze_move():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.AnalyzeMoveRequest(
resource="resource_value",
destination_parent="destination_parent_value",
)
# Make the request
response = await client.analyze_move(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.AnalyzeMoveRequest, dict]]
The request object. The request message for performing resource move analysis. |
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. |
| Type | Description |
google.cloud.asset_v1.types.AnalyzeMoveResponse | The response message for resource move analysis. |
asset_path
asset_path()Returns a fully-qualified asset string.
batch_get_assets_history
batch_get_assets_history(request: Optional[Union[google.cloud.asset_v1.types.asset_service.BatchGetAssetsHistoryRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Batch gets the update history of assets that overlap a time window. For IAM_POLICY content, this API outputs history when the asset and its attached IAM POLICY both exist. This can create gaps in the output history. Otherwise, this API outputs history with asset in both non-delete or deleted status. If a specified asset does not exist, this API returns an INVALID_ARGUMENT error.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_batch_get_assets_history():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.BatchGetAssetsHistoryRequest(
parent="parent_value",
)
# Make the request
response = await client.batch_get_assets_history(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.BatchGetAssetsHistoryRequest, dict]]
The request object. Batch get assets history request. |
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. |
| Type | Description |
google.cloud.asset_v1.types.BatchGetAssetsHistoryResponse | Batch get assets history response. |
batch_get_effective_iam_policies
batch_get_effective_iam_policies(request: Optional[Union[google.cloud.asset_v1.types.asset_service.BatchGetEffectiveIamPoliciesRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Gets effective IAM policies for a batch of resources.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_batch_get_effective_iam_policies():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.BatchGetEffectiveIamPoliciesRequest(
scope="scope_value",
names=['names_value1', 'names_value2'],
)
# Make the request
response = await client.batch_get_effective_iam_policies(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.BatchGetEffectiveIamPoliciesRequest, dict]]
The request object. A request message for AssetService.BatchGetEffectiveIamPolicies. |
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. |
| Type | Description |
google.cloud.asset_v1.types.BatchGetEffectiveIamPoliciesResponse | A response message for AssetService.BatchGetEffectiveIamPolicies. |
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_feed
create_feed(request: Optional[Union[google.cloud.asset_v1.types.asset_service.CreateFeedRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Creates a feed in a parent project/folder/organization to listen to its asset updates.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_create_feed():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
feed = asset_v1.Feed()
feed.name = "name_value"
request = asset_v1.CreateFeedRequest(
parent="parent_value",
feed_id="feed_id_value",
feed=feed,
)
# Make the request
response = await client.create_feed(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.CreateFeedRequest, dict]]
The request object. Create asset feed request. |
parent |
Required. The name of the project/folder/organization where this feed should be created in. It can only be an organization number (such as "organizations/123"), a folder number (such as "folders/123"), a project ID (such as "projects/my-project-id")", or a project number (such as "projects/12345"). 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. |
| Type | Description |
google.cloud.asset_v1.types.Feed | An asset feed used to export asset updates to a destinations. An asset feed filter controls what updates are exported. The asset feed must be created within a project, organization, or folder. Supported destinations are: Pub/Sub topics. |
create_saved_query
create_saved_query(request: Optional[Union[google.cloud.asset_v1.types.asset_service.CreateSavedQueryRequest, dict]] = None, *, parent: Optional[str] = None, saved_query: Optional[google.cloud.asset_v1.types.asset_service.SavedQuery] = None, saved_query_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Creates a saved query in a parent project/folder/organization.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_create_saved_query():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.CreateSavedQueryRequest(
parent="parent_value",
saved_query_id="saved_query_id_value",
)
# Make the request
response = await client.create_saved_query(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.CreateSavedQueryRequest, dict]]
The request object. Request to create a saved query. |
parent |
Required. The name of the project/folder/organization where this saved_query should be created in. It can only be an organization number (such as "organizations/123"), a folder number (such as "folders/123"), a project ID (such as "projects/my-project-id")", or a project number (such as "projects/12345"). This corresponds to the |
saved_query |
SavedQuery
Required. The saved_query details. The |
saved_query_id |
Required. The ID to use for the saved query, which must be unique in the specified parent. It will become the final component of the saved query's resource name. This value should be 4-63 characters, and valid characters are / |
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. |
| Type | Description |
google.cloud.asset_v1.types.SavedQuery | A saved query which can be shared with others or used later. |
delete_feed
delete_feed(request: Optional[Union[google.cloud.asset_v1.types.asset_service.DeleteFeedRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Deletes an asset feed.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_delete_feed():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.DeleteFeedRequest(
name="name_value",
)
# Make the request
await client.delete_feed(request=request)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.DeleteFeedRequest, dict]]
The request object. |
name |
Required. The name of the feed and it must be in the format of: projects/project_number/feeds/feed_id folders/folder_number/feeds/feed_id organizations/organization_number/feeds/feed_id 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. |
delete_saved_query
delete_saved_query(request: Optional[Union[google.cloud.asset_v1.types.asset_service.DeleteSavedQueryRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Deletes a saved query.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_delete_saved_query():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.DeleteSavedQueryRequest(
name="name_value",
)
# Make the request
await client.delete_saved_query(request=request)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.DeleteSavedQueryRequest, dict]]
The request object. Request to delete a saved query. |
name |
Required. The name of the saved query to delete. It must be in the format of: - projects/project_number/savedQueries/saved_query_id - folders/folder_number/savedQueries/saved_query_id - organizations/organization_number/savedQueries/saved_query_id 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. |
export_assets
export_assets(request: Optional[Union[google.cloud.asset_v1.types.asset_service.ExportAssetsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Exports assets with time and resource types to a given Cloud
Storage location/BigQuery table. For Cloud Storage location
destinations, the output format is newline-delimited JSON. Each
line represents a
xref_google.cloud.asset.v1.Asset in
the JSON format; for BigQuery table destinations, the output
table stores the fields in asset Protobuf as columns. This API
implements the
google.longrunning.Operation][google.longrunning.Operation]
API, which allows you to keep track of the export. We recommend
intervals of at least 2 seconds with exponential retry to poll
the export operation result. For regular-size resource parent,
the export operation usually finishes within 5 minutes.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_export_assets():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
output_config = asset_v1.OutputConfig()
output_config.gcs_destination.uri = "uri_value"
request = asset_v1.ExportAssetsRequest(
parent="parent_value",
output_config=output_config,
)
# Make the request
operation = client.export_assets(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.ExportAssetsRequest, dict]]
The request object. Export asset request. |
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. |
| Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be ExportAssetsResponse The export asset response. This message is returned by the google.longrunning.Operations.GetOperation][google.longrunning.Operations.GetOperation] method in the returned google.longrunning.Operation.response][google.longrunning.Operation.response] field. |
feed_path
feed_path(project: str, feed: str)Returns a fully-qualified feed string.
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)Creates an instance of this client using the provided credentials file.
| Name | Description |
filename |
str
The path to the service account private key json file. |
| Type | Description |
AssetServiceAsyncClient | 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.
| Name | Description |
info |
dict
The service account private key info. |
| Type | Description |
AssetServiceAsyncClient | 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.
| Name | Description |
filename |
str
The path to the service account private key json file. |
| Type | Description |
AssetServiceAsyncClient | The constructed client. |
get_feed
get_feed(request: Optional[Union[google.cloud.asset_v1.types.asset_service.GetFeedRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Gets details about an asset feed.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_get_feed():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.GetFeedRequest(
name="name_value",
)
# Make the request
response = await client.get_feed(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.GetFeedRequest, dict]]
The request object. Get asset feed request. |
name |
Required. The name of the Feed and it must be in the format of: projects/project_number/feeds/feed_id folders/folder_number/feeds/feed_id organizations/organization_number/feeds/feed_id 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. |
| Type | Description |
google.cloud.asset_v1.types.Feed | An asset feed used to export asset updates to a destinations. An asset feed filter controls what updates are exported. The asset feed must be created within a project, organization, or folder. Supported destinations are: Pub/Sub topics. |
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.
| Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
| Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
| Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_saved_query
get_saved_query(request: Optional[Union[google.cloud.asset_v1.types.asset_service.GetSavedQueryRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Gets details about a saved query.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_get_saved_query():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.GetSavedQueryRequest(
name="name_value",
)
# Make the request
response = await client.get_saved_query(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.GetSavedQueryRequest, dict]]
The request object. Request to get a saved query. |
name |
Required. The name of the saved query and it must be in the format of: - projects/project_number/savedQueries/saved_query_id - folders/folder_number/savedQueries/saved_query_id - organizations/organization_number/savedQueries/saved_query_id 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. |
| Type | Description |
google.cloud.asset_v1.types.SavedQuery | A saved query which can be shared with others or used later. |
get_transport_class
get_transport_class()Returns an appropriate transport class.
inventory_path
inventory_path(project: str, location: str, instance: str)Returns a fully-qualified inventory string.
list_assets
list_assets(request: Optional[Union[google.cloud.asset_v1.types.asset_service.ListAssetsRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Lists assets with time and resource types and returns paged results in response.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_list_assets():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.ListAssetsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_assets(request=request)
# Handle the response
async for response in page_result:
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.ListAssetsRequest, dict]]
The request object. ListAssets request. |
parent |
Required. Name of the organization, folder, or project the assets belong to. Format: "organizations/[organization-number]" (such as "organizations/123"), "projects/[project-id]" (such as "projects/my-project-id"), "projects/[project-number]" (such as "projects/12345"), or "folders/[folder-number]" (such as "folders/12345"). 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. |
| Type | Description |
google.cloud.asset_v1.services.asset_service.pagers.ListAssetsAsyncPager | ListAssets response. Iterating over this object will yield results and resolve additional pages automatically. |
list_feeds
list_feeds(request: Optional[Union[google.cloud.asset_v1.types.asset_service.ListFeedsRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Lists all asset feeds in a parent project/folder/organization.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_list_feeds():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.ListFeedsRequest(
parent="parent_value",
)
# Make the request
response = await client.list_feeds(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.ListFeedsRequest, dict]]
The request object. List asset feeds request. |
parent |
Required. The parent project/folder/organization whose feeds are to be listed. It can only be using project/folder/organization number (such as "folders/12345")", or a project ID (such as "projects/my-project-id"). 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. |
list_saved_queries
list_saved_queries(request: Optional[Union[google.cloud.asset_v1.types.asset_service.ListSavedQueriesRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Lists all saved queries in a parent project/folder/organization.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_list_saved_queries():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.ListSavedQueriesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_saved_queries(request=request)
# Handle the response
async for response in page_result:
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.ListSavedQueriesRequest, dict]]
The request object. Request to list saved queries. |
parent |
Required. The parent project/folder/organization whose savedQueries are to be listed. It can only be using project/folder/organization number (such as "folders/12345")", or a project ID (such as "projects/my-project-id"). 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. |
| Type | Description |
google.cloud.asset_v1.services.asset_service.pagers.ListSavedQueriesAsyncPager | Response of listing saved queries. Iterating over this object will yield results and resolve additional pages automatically. |
parse_access_level_path
parse_access_level_path(path: str)Parses a access_level path into its component segments.
parse_access_policy_path
parse_access_policy_path(path: str)Parses a access_policy path into its component segments.
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_feed_path
parse_feed_path(path: str)Parses a feed path into its component segments.
parse_inventory_path
parse_inventory_path(path: str)Parses a inventory path into its component segments.
parse_saved_query_path
parse_saved_query_path(path: str)Parses a saved_query path into its component segments.
parse_service_perimeter_path
parse_service_perimeter_path(path: str)Parses a service_perimeter path into its component segments.
query_assets
query_assets(request: Optional[Union[google.cloud.asset_v1.types.asset_service.QueryAssetsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Issue a job that queries assets using a SQL statement compatible
with BigQuery Standard
SQL <http://cloud/bigquery/docs/reference/standard-sql/enabling-standard-sql>__.
If the query execution finishes within timeout and there's no
pagination, the full query results will be returned in the
QueryAssetsResponse.
Otherwise, full query results can be obtained by issuing extra
requests with the job_reference from the a previous
QueryAssets call.
Note, the query result has approximately 10 GB limitation enforced by BigQuery https://cloud.google.com/bigquery/docs/best-practices-performance-output, queries return larger results will result in errors.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_query_assets():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.QueryAssetsRequest(
statement="statement_value",
parent="parent_value",
)
# Make the request
response = await client.query_assets(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.QueryAssetsRequest, dict]]
The request object. QueryAssets request. |
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. |
| Type | Description |
google.cloud.asset_v1.types.QueryAssetsResponse | QueryAssets response. |
saved_query_path
saved_query_path(project: str, saved_query: str)Returns a fully-qualified saved_query string.
search_all_iam_policies
search_all_iam_policies(request: Optional[Union[google.cloud.asset_v1.types.asset_service.SearchAllIamPoliciesRequest, dict]] = None, *, scope: Optional[str] = None, query: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Searches all IAM policies within the specified scope, such as a
project, folder, or organization. The caller must be granted the
cloudasset.assets.searchAllIamPolicies permission on the
desired scope, otherwise the request will be rejected.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_search_all_iam_policies():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.SearchAllIamPoliciesRequest(
scope="scope_value",
)
# Make the request
page_result = client.search_all_iam_policies(request=request)
# Handle the response
async for response in page_result:
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.SearchAllIamPoliciesRequest, dict]]
The request object. Search all IAM policies request. |
scope |
Required. A scope can be a project, a folder, or an organization. The search is limited to the IAM policies within the |
query |
Optional. The query statement. See |
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. |
| Type | Description |
google.cloud.asset_v1.services.asset_service.pagers.SearchAllIamPoliciesAsyncPager | Search all IAM policies response. Iterating over this object will yield results and resolve additional pages automatically. |
search_all_resources
search_all_resources(request: Optional[Union[google.cloud.asset_v1.types.asset_service.SearchAllResourcesRequest, dict]] = None, *, scope: Optional[str] = None, query: Optional[str] = None, asset_types: Optional[MutableSequence[str]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Searches all Cloud resources within the specified scope, such as
a project, folder, or organization. The caller must be granted
the cloudasset.assets.searchAllResources permission on the
desired scope, otherwise the request will be rejected.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_search_all_resources():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.SearchAllResourcesRequest(
scope="scope_value",
)
# Make the request
page_result = client.search_all_resources(request=request)
# Handle the response
async for response in page_result:
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.SearchAllResourcesRequest, dict]]
The request object. Search all resources request. |
scope |
Required. A scope can be a project, a folder, or an organization. The search is limited to the resources within the |
query |
Optional. The query statement. See |
asset_types |
:class:
Optional. A list of asset types that this request searches for. If empty, it will search all 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. |
| Type | Description |
google.cloud.asset_v1.services.asset_service.pagers.SearchAllResourcesAsyncPager | Search all resources response. Iterating over this object will yield results and resolve additional pages automatically. |
service_perimeter_path
service_perimeter_path(access_policy: str, service_perimeter: str)Returns a fully-qualified service_perimeter string.
update_feed
update_feed(request: Optional[Union[google.cloud.asset_v1.types.asset_service.UpdateFeedRequest, dict]] = None, *, feed: Optional[google.cloud.asset_v1.types.asset_service.Feed] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Updates an asset feed configuration.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_update_feed():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
feed = asset_v1.Feed()
feed.name = "name_value"
request = asset_v1.UpdateFeedRequest(
feed=feed,
)
# Make the request
response = await client.update_feed(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.UpdateFeedRequest, dict]]
The request object. Update asset feed request. |
feed |
Feed
Required. The new values of feed details. It must match an existing feed and the field |
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. |
| Type | Description |
google.cloud.asset_v1.types.Feed | An asset feed used to export asset updates to a destinations. An asset feed filter controls what updates are exported. The asset feed must be created within a project, organization, or folder. Supported destinations are: Pub/Sub topics. |
update_saved_query
update_saved_query(request: Optional[Union[google.cloud.asset_v1.types.asset_service.UpdateSavedQueryRequest, dict]] = None, *, saved_query: Optional[google.cloud.asset_v1.types.asset_service.SavedQuery] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())Updates a saved query.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import asset_v1
async def sample_update_saved_query():
# Create a client
client = asset_v1.AssetServiceAsyncClient()
# Initialize request argument(s)
request = asset_v1.UpdateSavedQueryRequest(
)
# Make the request
response = await client.update_saved_query(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Optional[Union[google.cloud.asset_v1.types.UpdateSavedQueryRequest, dict]]
The request object. Request to update a saved query. |
saved_query |
SavedQuery
Required. The saved query to update. The saved query's |
update_mask |
Required. The list of fields to update. 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. |
| Type | Description |
google.cloud.asset_v1.types.SavedQuery | A saved query which can be shared with others or used later. |