As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Source code for google.cloud.asset_v1.services.asset_service.client

# -*- coding: utf-8 -*-
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from collections import OrderedDict
import os
import re
from typing import (
    Callable,
    Dict,
    Mapping,
    MutableMapping,
    MutableSequence,
    Optional,
    Sequence,
    Tuple,
    Type,
    Union,
    cast,
)
import warnings

from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials  # type: ignore
from google.auth.exceptions import MutualTLSChannelError  # type: ignore
from google.auth.transport import mtls  # type: ignore
from google.auth.transport.grpc import SslCredentials  # type: ignore
from google.oauth2 import service_account  # type: ignore

from google.cloud.asset_v1 import gapic_version as package_version

try:
    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
except AttributeError:  # pragma: NO COVER
    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore

from google.api_core import operation  # type: ignore
from google.api_core import operation_async  # type: ignore
from google.longrunning import operations_pb2  # type: ignore
from google.protobuf import field_mask_pb2  # type: ignore
from google.protobuf import timestamp_pb2  # type: ignore
from google.rpc import status_pb2  # type: ignore
from google.type import expr_pb2  # type: ignore

from google.cloud.asset_v1.services.asset_service import pagers
from google.cloud.asset_v1.types import asset_service, assets

from .transports.base import DEFAULT_CLIENT_INFO, AssetServiceTransport
from .transports.grpc import AssetServiceGrpcTransport
from .transports.grpc_asyncio import AssetServiceGrpcAsyncIOTransport
from .transports.rest import AssetServiceRestTransport


class AssetServiceClientMeta(type):
    """Metaclass for the AssetService client.

    This provides class-level methods for building and retrieving
    support objects (e.g. transport) without polluting the client instance
    objects.
    """

    _transport_registry = OrderedDict()  # type: Dict[str, Type[AssetServiceTransport]]
    _transport_registry["grpc"] = AssetServiceGrpcTransport
    _transport_registry["grpc_asyncio"] = AssetServiceGrpcAsyncIOTransport
    _transport_registry["rest"] = AssetServiceRestTransport

    def get_transport_class(
        cls,
        label: Optional[str] = None,
    ) -> Type[AssetServiceTransport]:
        """Returns an appropriate transport class.

        Args:
            label: The name of the desired transport. If none is
                provided, then the first transport in the registry is used.

        Returns:
            The transport class to use.
        """
        # If a specific transport is requested, return that one.
        if label:
            return cls._transport_registry[label]

        # No transport is requested; return the default (that is, the first one
        # in the dictionary).
        return next(iter(cls._transport_registry.values()))


[docs]class AssetServiceClient(metaclass=AssetServiceClientMeta): """Asset service definition.""" @staticmethod def _get_default_mtls_endpoint(api_endpoint): """Converts api endpoint to mTLS endpoint. Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. Args: api_endpoint (Optional[str]): the api endpoint to convert. Returns: str: converted mTLS api endpoint. """ if not api_endpoint: return api_endpoint mtls_endpoint_re = re.compile( r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?" ) m = mtls_endpoint_re.match(api_endpoint) name, mtls, sandbox, googledomain = m.groups() if mtls or not googledomain: return api_endpoint if sandbox: return api_endpoint.replace( "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" ) return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. DEFAULT_ENDPOINT = "cloudasset.googleapis.com" DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore DEFAULT_ENDPOINT ) _DEFAULT_ENDPOINT_TEMPLATE = "cloudasset.{UNIVERSE_DOMAIN}" _DEFAULT_UNIVERSE = "googleapis.com"
[docs] @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): """Creates an instance of this client using the provided credentials info. Args: info (dict): The service account private key info. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: AssetServiceClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_info(info) kwargs["credentials"] = credentials return cls(*args, **kwargs)
[docs] @classmethod def from_service_account_file(cls, filename: str, *args, **kwargs): """Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: AssetServiceClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_file(filename) kwargs["credentials"] = credentials return cls(*args, **kwargs)
from_service_account_json = from_service_account_file @property def transport(self) -> AssetServiceTransport: """Returns the transport used by the client instance. Returns: AssetServiceTransport: The transport used by the client instance. """ return self._transport
[docs] @staticmethod def access_level_path( access_policy: str, access_level: str, ) -> str: """Returns a fully-qualified access_level string.""" return "accessPolicies/{access_policy}/accessLevels/{access_level}".format( access_policy=access_policy, access_level=access_level, )
[docs] @staticmethod def parse_access_level_path(path: str) -> Dict[str, str]: """Parses a access_level path into its component segments.""" m = re.match( r"^accessPolicies/(?P<access_policy>.+?)/accessLevels/(?P<access_level>.+?)$", path, ) return m.groupdict() if m else {}
[docs] @staticmethod def access_policy_path( access_policy: str, ) -> str: """Returns a fully-qualified access_policy string.""" return "accessPolicies/{access_policy}".format( access_policy=access_policy, )
[docs] @staticmethod def parse_access_policy_path(path: str) -> Dict[str, str]: """Parses a access_policy path into its component segments.""" m = re.match(r"^accessPolicies/(?P<access_policy>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def asset_path() -> str: """Returns a fully-qualified asset string.""" return "*".format()
[docs] @staticmethod def parse_asset_path(path: str) -> Dict[str, str]: """Parses a asset path into its component segments.""" m = re.match(r"^.*$", path) return m.groupdict() if m else {}
[docs] @staticmethod def feed_path( project: str, feed: str, ) -> str: """Returns a fully-qualified feed string.""" return "projects/{project}/feeds/{feed}".format( project=project, feed=feed, )
[docs] @staticmethod def parse_feed_path(path: str) -> Dict[str, str]: """Parses a feed path into its component segments.""" m = re.match(r"^projects/(?P<project>.+?)/feeds/(?P<feed>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def inventory_path( project: str, location: str, instance: str, ) -> str: """Returns a fully-qualified inventory string.""" return "projects/{project}/locations/{location}/instances/{instance}/inventory".format( project=project, location=location, instance=instance, )
[docs] @staticmethod def parse_inventory_path(path: str) -> Dict[str, str]: """Parses a inventory path into its component segments.""" m = re.match( r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/instances/(?P<instance>.+?)/inventory$", path, ) return m.groupdict() if m else {}
[docs] @staticmethod def saved_query_path( project: str, saved_query: str, ) -> str: """Returns a fully-qualified saved_query string.""" return "projects/{project}/savedQueries/{saved_query}".format( project=project, saved_query=saved_query, )
[docs] @staticmethod def parse_saved_query_path(path: str) -> Dict[str, str]: """Parses a saved_query path into its component segments.""" m = re.match( r"^projects/(?P<project>.+?)/savedQueries/(?P<saved_query>.+?)$", path ) return m.groupdict() if m else {}
[docs] @staticmethod def service_perimeter_path( access_policy: str, service_perimeter: str, ) -> str: """Returns a fully-qualified service_perimeter string.""" return "accessPolicies/{access_policy}/servicePerimeters/{service_perimeter}".format( access_policy=access_policy, service_perimeter=service_perimeter, )
[docs] @staticmethod def parse_service_perimeter_path(path: str) -> Dict[str, str]: """Parses a service_perimeter path into its component segments.""" m = re.match( r"^accessPolicies/(?P<access_policy>.+?)/servicePerimeters/(?P<service_perimeter>.+?)$", path, ) return m.groupdict() if m else {}
[docs] @staticmethod def common_billing_account_path( billing_account: str, ) -> str: """Returns a fully-qualified billing_account string.""" return "billingAccounts/{billing_account}".format( billing_account=billing_account, )
[docs] @staticmethod def parse_common_billing_account_path(path: str) -> Dict[str, str]: """Parse a billing_account path into its component segments.""" m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_folder_path( folder: str, ) -> str: """Returns a fully-qualified folder string.""" return "folders/{folder}".format( folder=folder, )
[docs] @staticmethod def parse_common_folder_path(path: str) -> Dict[str, str]: """Parse a folder path into its component segments.""" m = re.match(r"^folders/(?P<folder>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_organization_path( organization: str, ) -> str: """Returns a fully-qualified organization string.""" return "organizations/{organization}".format( organization=organization, )
[docs] @staticmethod def parse_common_organization_path(path: str) -> Dict[str, str]: """Parse a organization path into its component segments.""" m = re.match(r"^organizations/(?P<organization>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_project_path( project: str, ) -> str: """Returns a fully-qualified project string.""" return "projects/{project}".format( project=project, )
[docs] @staticmethod def parse_common_project_path(path: str) -> Dict[str, str]: """Parse a project path into its component segments.""" m = re.match(r"^projects/(?P<project>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_location_path( project: str, location: str, ) -> str: """Returns a fully-qualified location string.""" return "projects/{project}/locations/{location}".format( project=project, location=location, )
[docs] @staticmethod def parse_common_location_path(path: str) -> Dict[str, str]: """Parse a location path into its component segments.""" m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path) return m.groupdict() if m else {}
[docs] @classmethod def get_mtls_endpoint_and_cert_source( cls, client_options: Optional[client_options_lib.ClientOptions] = None ): """Deprecated. 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 variable 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. Args: client_options (google.api_core.client_options.ClientOptions): Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method. Returns: Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the client cert source to use. Raises: google.auth.exceptions.MutualTLSChannelError: If any errors happen. """ warnings.warn( "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", DeprecationWarning, ) if client_options is None: client_options = client_options_lib.ClientOptions() use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") if use_client_cert not in ("true", "false"): raise ValueError( "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" ) if use_mtls_endpoint not in ("auto", "never", "always"): raise MutualTLSChannelError( "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" ) # Figure out the client cert source to use. client_cert_source = None if use_client_cert == "true": if client_options.client_cert_source: client_cert_source = client_options.client_cert_source elif mtls.has_default_client_cert_source(): client_cert_source = mtls.default_client_cert_source() # Figure out which api endpoint to use. if client_options.api_endpoint is not None: api_endpoint = client_options.api_endpoint elif use_mtls_endpoint == "always" or ( use_mtls_endpoint == "auto" and client_cert_source ): api_endpoint = cls.DEFAULT_MTLS_ENDPOINT else: api_endpoint = cls.DEFAULT_ENDPOINT return api_endpoint, client_cert_source
@staticmethod def _read_environment_variables(): """Returns the environment variables used by the client. Returns: Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. Raises: ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not any of ["true", "false"]. google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT is not any of ["auto", "never", "always"]. """ use_client_cert = os.getenv( "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" ).lower() use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") if use_client_cert not in ("true", "false"): raise ValueError( "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" ) if use_mtls_endpoint not in ("auto", "never", "always"): raise MutualTLSChannelError( "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" ) return use_client_cert == "true", use_mtls_endpoint, universe_domain_env @staticmethod def _get_client_cert_source(provided_cert_source, use_cert_flag): """Return the client cert source to be used by the client. Args: provided_cert_source (bytes): The client certificate source provided. use_cert_flag (bool): A flag indicating whether to use the client certificate. Returns: bytes or None: The client cert source to be used by the client. """ client_cert_source = None if use_cert_flag: if provided_cert_source: client_cert_source = provided_cert_source elif mtls.has_default_client_cert_source(): client_cert_source = mtls.default_client_cert_source() return client_cert_source @staticmethod def _get_api_endpoint( api_override, client_cert_source, universe_domain, use_mtls_endpoint ): """Return the API endpoint used by the client. Args: api_override (str): The API endpoint override. If specified, this is always the return value of this function and the other arguments are not used. client_cert_source (bytes): The client certificate source used by the client. universe_domain (str): The universe domain used by the client. use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. Possible values are "always", "auto", or "never". Returns: str: The API endpoint to be used by the client. """ if api_override is not None: api_endpoint = api_override elif use_mtls_endpoint == "always" or ( use_mtls_endpoint == "auto" and client_cert_source ): _default_universe = AssetServiceClient._DEFAULT_UNIVERSE if universe_domain != _default_universe: raise MutualTLSChannelError( f"mTLS is not supported in any universe other than {_default_universe}." ) api_endpoint = AssetServiceClient.DEFAULT_MTLS_ENDPOINT else: api_endpoint = AssetServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( UNIVERSE_DOMAIN=universe_domain ) return api_endpoint @staticmethod def _get_universe_domain( client_universe_domain: Optional[str], universe_domain_env: Optional[str] ) -> str: """Return the universe domain used by the client. Args: client_universe_domain (Optional[str]): The universe domain configured via the client options. universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. Returns: str: The universe domain to be used by the client. Raises: ValueError: If the universe domain is an empty string. """ universe_domain = AssetServiceClient._DEFAULT_UNIVERSE if client_universe_domain is not None: universe_domain = client_universe_domain elif universe_domain_env is not None: universe_domain = universe_domain_env if len(universe_domain.strip()) == 0: raise ValueError("Universe Domain cannot be an empty string.") return universe_domain def _validate_universe_domain(self): """Validates client's and credentials' universe domains are consistent. Returns: bool: True iff the configured universe domain is valid. Raises: ValueError: If the configured universe domain is not valid. """ # NOTE (b/349488459): universe validation is disabled until further notice. return True @property def api_endpoint(self): """Return the API endpoint used by the client instance. Returns: str: The API endpoint used by the client instance. """ return self._api_endpoint @property def universe_domain(self) -> str: """Return the universe domain used by the client instance. Returns: str: The universe domain used by the client instance. """ return self._universe_domain def __init__( self, *, credentials: Optional[ga_credentials.Credentials] = None, transport: Optional[ Union[str, AssetServiceTransport, Callable[..., AssetServiceTransport]] ] = None, client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: """Instantiates the asset service client. Args: 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 (Optional[Union[str,AssetServiceTransport,Callable[..., AssetServiceTransport]]]): The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the AssetServiceTransport constructor. If set to None, a transport is chosen automatically. client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the client. 1. The ``api_endpoint`` property can be used to override the default endpoint provided by the client when ``transport`` is not explicitly provided. Only if this property is not set and ``transport`` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the ``client_cert_source`` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The ``universe_domain`` property can be used to override the default "googleapis.com" universe. Note that the ``api_endpoint`` property still takes precedence; and ``universe_domain`` is currently not supported for mTLS. 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 ``None``, then default info will be used. Generally, you only need to set this if you're developing your own client library. Raises: google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport creation failed for any reason. """ self._client_options = client_options if isinstance(self._client_options, dict): self._client_options = client_options_lib.from_dict(self._client_options) if self._client_options is None: self._client_options = client_options_lib.ClientOptions() self._client_options = cast( client_options_lib.ClientOptions, self._client_options ) universe_domain_opt = getattr(self._client_options, "universe_domain", None) ( self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env, ) = AssetServiceClient._read_environment_variables() self._client_cert_source = AssetServiceClient._get_client_cert_source( self._client_options.client_cert_source, self._use_client_cert ) self._universe_domain = AssetServiceClient._get_universe_domain( universe_domain_opt, self._universe_domain_env ) self._api_endpoint = None # updated below, depending on `transport` # Initialize the universe domain validation. self._is_universe_domain_valid = False api_key_value = getattr(self._client_options, "api_key", None) if api_key_value and credentials: raise ValueError( "client_options.api_key and credentials are mutually exclusive" ) # Save or instantiate the transport. # Ordinarily, we provide the transport, but allowing a custom transport # instance provides an extensibility point for unusual situations. transport_provided = isinstance(transport, AssetServiceTransport) if transport_provided: # transport is a AssetServiceTransport instance. if credentials or self._client_options.credentials_file or api_key_value: raise ValueError( "When providing a transport instance, " "provide its credentials directly." ) if self._client_options.scopes: raise ValueError( "When providing a transport instance, provide its scopes " "directly." ) self._transport = cast(AssetServiceTransport, transport) self._api_endpoint = self._transport.host self._api_endpoint = self._api_endpoint or AssetServiceClient._get_api_endpoint( self._client_options.api_endpoint, self._client_cert_source, self._universe_domain, self._use_mtls_endpoint, ) if not transport_provided: import google.auth._default # type: ignore if api_key_value and hasattr( google.auth._default, "get_api_key_credentials" ): credentials = google.auth._default.get_api_key_credentials( api_key_value ) transport_init: Union[ Type[AssetServiceTransport], Callable[..., AssetServiceTransport] ] = ( AssetServiceClient.get_transport_class(transport) if isinstance(transport, str) or transport is None else cast(Callable[..., AssetServiceTransport], transport) ) # initialize with the provided callable or the passed in class self._transport = transport_init( credentials=credentials, credentials_file=self._client_options.credentials_file, host=self._api_endpoint, scopes=self._client_options.scopes, client_cert_source_for_mtls=self._client_cert_source, quota_project_id=self._client_options.quota_project_id, client_info=client_info, always_use_jwt_access=True, api_audience=self._client_options.api_audience, )
[docs] def export_assets( self, request: Optional[Union[asset_service.ExportAssetsRequest, dict]] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation.Operation: r"""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 [google.cloud.asset.v1.Asset][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. .. code-block:: python # 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 def sample_export_assets(): # Create a client client = asset_v1.AssetServiceClient() # 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 = operation.result() # Handle the response print(response) Args: request (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. Returns: google.api_core.operation.Operation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.asset_v1.types.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. """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.ExportAssetsRequest): request = asset_service.ExportAssetsRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.export_assets] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation.from_gapic( response, self._transport.operations_client, asset_service.ExportAssetsResponse, metadata_type=asset_service.ExportAssetsRequest, ) # Done; return the response. return response
[docs] def list_assets( self, request: Optional[Union[asset_service.ListAssetsRequest, dict]] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListAssetsPager: r"""Lists assets with time and resource types and returns paged results in response. .. code-block:: python # 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 def sample_list_assets(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.ListAssetsRequest( parent="parent_value", ) # Make the request page_result = client.list_assets(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.asset_v1.types.ListAssetsRequest, dict]): The request object. ListAssets request. parent (str): 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 ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.services.asset_service.pagers.ListAssetsPager: ListAssets response. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.ListAssetsRequest): request = asset_service.ListAssetsRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.list_assets] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.ListAssetsPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def batch_get_assets_history( self, request: Optional[ Union[asset_service.BatchGetAssetsHistoryRequest, dict] ] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.BatchGetAssetsHistoryResponse: r"""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. .. code-block:: python # 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 def sample_batch_get_assets_history(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.BatchGetAssetsHistoryRequest( parent="parent_value", ) # Make the request response = client.batch_get_assets_history(request=request) # Handle the response print(response) Args: request (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. Returns: google.cloud.asset_v1.types.BatchGetAssetsHistoryResponse: Batch get assets history response. """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.BatchGetAssetsHistoryRequest): request = asset_service.BatchGetAssetsHistoryRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.batch_get_assets_history] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def create_feed( self, request: Optional[Union[asset_service.CreateFeedRequest, dict]] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.Feed: r"""Creates a feed in a parent project/folder/organization to listen to its asset updates. .. code-block:: python # 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 def sample_create_feed(): # Create a client client = asset_v1.AssetServiceClient() # 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 = client.create_feed(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.CreateFeedRequest, dict]): The request object. Create asset feed request. parent (str): 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 ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: 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 or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.CreateFeedRequest): request = asset_service.CreateFeedRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.create_feed] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def get_feed( self, request: Optional[Union[asset_service.GetFeedRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.Feed: r"""Gets details about an asset feed. .. code-block:: python # 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 def sample_get_feed(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.GetFeedRequest( name="name_value", ) # Make the request response = client.get_feed(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.GetFeedRequest, dict]): The request object. Get asset feed request. name (str): 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 ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: 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 or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.GetFeedRequest): request = asset_service.GetFeedRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_feed] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def list_feeds( self, request: Optional[Union[asset_service.ListFeedsRequest, dict]] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.ListFeedsResponse: r"""Lists all asset feeds in a parent project/folder/organization. .. code-block:: python # 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 def sample_list_feeds(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.ListFeedsRequest( parent="parent_value", ) # Make the request response = client.list_feeds(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.ListFeedsRequest, dict]): The request object. List asset feeds request. parent (str): 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 ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.types.ListFeedsResponse: """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.ListFeedsRequest): request = asset_service.ListFeedsRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.list_feeds] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def update_feed( self, request: Optional[Union[asset_service.UpdateFeedRequest, dict]] = None, *, feed: Optional[asset_service.Feed] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.Feed: r"""Updates an asset feed configuration. .. code-block:: python # 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 def sample_update_feed(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) feed = asset_v1.Feed() feed.name = "name_value" request = asset_v1.UpdateFeedRequest( feed=feed, ) # Make the request response = client.update_feed(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.UpdateFeedRequest, dict]): The request object. Update asset feed request. feed (google.cloud.asset_v1.types.Feed): Required. The new values of feed details. It must match an existing feed and the field ``name`` must be in the format of: projects/project_number/feeds/feed_id or folders/folder_number/feeds/feed_id or organizations/organization_number/feeds/feed_id. This corresponds to the ``feed`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: 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 or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([feed]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.UpdateFeedRequest): request = asset_service.UpdateFeedRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if feed is not None: request.feed = feed # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.update_feed] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("feed.name", request.feed.name),) ), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def delete_feed( self, request: Optional[Union[asset_service.DeleteFeedRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Deletes an asset feed. .. code-block:: python # 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 def sample_delete_feed(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.DeleteFeedRequest( name="name_value", ) # Make the request client.delete_feed(request=request) Args: request (Union[google.cloud.asset_v1.types.DeleteFeedRequest, dict]): The request object. name (str): 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 ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.DeleteFeedRequest): request = asset_service.DeleteFeedRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.delete_feed] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. rpc( request, retry=retry, timeout=timeout, metadata=metadata, )
[docs] def search_all_resources( self, request: Optional[Union[asset_service.SearchAllResourcesRequest, dict]] = None, *, scope: Optional[str] = None, query: Optional[str] = None, asset_types: Optional[MutableSequence[str]] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.SearchAllResourcesPager: r"""Searches all Google 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. .. code-block:: python # 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 def sample_search_all_resources(): # Create a client client = asset_v1.AssetServiceClient() # 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 for response in page_result: print(response) Args: request (Union[google.cloud.asset_v1.types.SearchAllResourcesRequest, dict]): The request object. Search all resources request. scope (str): Required. A scope can be a project, a folder, or an organization. The search is limited to the resources within the ``scope``. The caller must be granted the ```cloudasset.assets.searchAllResources`` <https://cloud.google.com/asset-inventory/docs/access-control#required_permissions>`__ permission on the desired scope. The allowed values are: - projects/{PROJECT_ID} (e.g., "projects/foo-bar") - projects/{PROJECT_NUMBER} (e.g., "projects/12345678") - folders/{FOLDER_NUMBER} (e.g., "folders/1234567") - organizations/{ORGANIZATION_NUMBER} (e.g., "organizations/123456") This corresponds to the ``scope`` field on the ``request`` instance; if ``request`` is provided, this should not be set. query (str): Optional. The query statement. See `how to construct a query <https://cloud.google.com/asset-inventory/docs/searching-resources#how_to_construct_a_query>`__ for more information. If not specified or empty, it will search all the resources within the specified ``scope``. Examples: - ``name:Important`` to find Google Cloud resources whose name contains ``Important`` as a word. - ``name=Important`` to find the Google Cloud resource whose name is exactly ``Important``. - ``displayName:Impor*`` to find Google Cloud resources whose display name contains ``Impor`` as a prefix of any word in the field. - ``location:us-west*`` to find Google Cloud resources whose location contains both ``us`` and ``west`` as prefixes. - ``labels:prod`` to find Google Cloud resources whose labels contain ``prod`` as a key or value. - ``labels.env:prod`` to find Google Cloud resources that have a label ``env`` and its value is ``prod``. - ``labels.env:*`` to find Google Cloud resources that have a label ``env``. - ``tagKeys:env`` to find Google Cloud resources that have directly attached tags where the ```TagKey.namespacedName`` <https://cloud.google.com/resource-manager/reference/rest/v3/tagKeys#resource:-tagkey>`__ contains ``env``. - ``tagValues:prod*`` to find Google Cloud resources that have directly attached tags where the ```TagValue.namespacedName`` <https://cloud.google.com/resource-manager/reference/rest/v3/tagValues#resource:-tagvalue>`__ contains a word prefixed by ``prod``. - ``tagValueIds=tagValues/123`` to find Google Cloud resources that have directly attached tags where the ```TagValue.name`` <https://cloud.google.com/resource-manager/reference/rest/v3/tagValues#resource:-tagvalue>`__ is exactly ``tagValues/123``. - ``effectiveTagKeys:env`` to find Google Cloud resources that have directly attached or inherited tags where the ```TagKey.namespacedName`` <https://cloud.google.com/resource-manager/reference/rest/v3/tagKeys#resource:-tagkey>`__ contains ``env``. - ``effectiveTagValues:prod*`` to find Google Cloud resources that have directly attached or inherited tags where the ```TagValue.namespacedName`` <https://cloud.google.com/resource-manager/reference/rest/v3/tagValues#resource:-tagvalue>`__ contains a word prefixed by ``prod``. - ``effectiveTagValueIds=tagValues/123`` to find Google Cloud resources that have directly attached or inherited tags where the ```TagValue.name`` <https://cloud.google.com/resource-manager/reference/rest/v3/tagValues#resource:-tagvalue>`__ is exactly ``tagValues/123``. - ``kmsKey:key`` to find Google Cloud resources encrypted with a customer-managed encryption key whose name contains ``key`` as a word. This field is deprecated. Use the ``kmsKeys`` field to retrieve Cloud KMS key information. - ``kmsKeys:key`` to find Google Cloud resources encrypted with customer-managed encryption keys whose name contains the word ``key``. - ``relationships:instance-group-1`` to find Google Cloud resources that have relationships with ``instance-group-1`` in the related resource name. - ``relationships:INSTANCE_TO_INSTANCEGROUP`` to find Compute Engine instances that have relationships of type ``INSTANCE_TO_INSTANCEGROUP``. - ``relationships.INSTANCE_TO_INSTANCEGROUP:instance-group-1`` to find Compute Engine instances that have relationships with ``instance-group-1`` in the Compute Engine instance group resource name, for relationship type ``INSTANCE_TO_INSTANCEGROUP``. - ``sccSecurityMarks.key=value`` to find Cloud resources that are attached with security marks whose key is ``key`` and value is ``value``. - ``sccSecurityMarks.key:*`` to find Cloud resources that are attached with security marks whose key is ``key``. - ``state:ACTIVE`` to find Google Cloud resources whose state contains ``ACTIVE`` as a word. - ``NOT state:ACTIVE`` to find Google Cloud resources whose state doesn't contain ``ACTIVE`` as a word. - ``createTime<1609459200`` to find Google Cloud resources that were created before ``2021-01-01 00:00:00 UTC``. ``1609459200`` is the epoch timestamp of ``2021-01-01 00:00:00 UTC`` in seconds. - ``updateTime>1609459200`` to find Google Cloud resources that were updated after ``2021-01-01 00:00:00 UTC``. ``1609459200`` is the epoch timestamp of ``2021-01-01 00:00:00 UTC`` in seconds. - ``Important`` to find Google Cloud resources that contain ``Important`` as a word in any of the searchable fields. - ``Impor*`` to find Google Cloud resources that contain ``Impor`` as a prefix of any word in any of the searchable fields. - ``Important location:(us-west1 OR global)`` to find Google Cloud resources that contain ``Important`` as a word in any of the searchable fields and are also located in the ``us-west1`` region or the ``global`` location. This corresponds to the ``query`` field on the ``request`` instance; if ``request`` is provided, this should not be set. asset_types (MutableSequence[str]): Optional. A list of asset types that this request searches for. If empty, it will search all the asset types `supported by search APIs <https://cloud.google.com/asset-inventory/docs/supported-asset-types>`__. Regular expressions are also supported. For example: - "compute.googleapis.com.*" snapshots resources whose asset type starts with "compute.googleapis.com". - ".*Instance" snapshots resources whose asset type ends with "Instance". - ".*Instance.*" snapshots resources whose asset type contains "Instance". See `RE2 <https://github.com/google/re2/wiki/Syntax>`__ for all supported regular expression syntax. If the regular expression does not match any supported asset type, an INVALID_ARGUMENT error will be returned. This corresponds to the ``asset_types`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.services.asset_service.pagers.SearchAllResourcesPager: Search all resources response. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([scope, query, asset_types]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.SearchAllResourcesRequest): request = asset_service.SearchAllResourcesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if scope is not None: request.scope = scope if query is not None: request.query = query if asset_types is not None: request.asset_types = asset_types # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.search_all_resources] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("scope", request.scope),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.SearchAllResourcesPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def search_all_iam_policies( self, request: Optional[ Union[asset_service.SearchAllIamPoliciesRequest, dict] ] = None, *, scope: Optional[str] = None, query: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.SearchAllIamPoliciesPager: r"""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. .. code-block:: python # 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 def sample_search_all_iam_policies(): # Create a client client = asset_v1.AssetServiceClient() # 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 for response in page_result: print(response) Args: request (Union[google.cloud.asset_v1.types.SearchAllIamPoliciesRequest, dict]): The request object. Search all IAM policies request. scope (str): Required. A scope can be a project, a folder, or an organization. The search is limited to the IAM policies within the ``scope``. The caller must be granted the ```cloudasset.assets.searchAllIamPolicies`` <https://cloud.google.com/asset-inventory/docs/access-control#required_permissions>`__ permission on the desired scope. The allowed values are: - projects/{PROJECT_ID} (e.g., "projects/foo-bar") - projects/{PROJECT_NUMBER} (e.g., "projects/12345678") - folders/{FOLDER_NUMBER} (e.g., "folders/1234567") - organizations/{ORGANIZATION_NUMBER} (e.g., "organizations/123456") This corresponds to the ``scope`` field on the ``request`` instance; if ``request`` is provided, this should not be set. query (str): Optional. The query statement. See `how to construct a query <https://cloud.google.com/asset-inventory/docs/searching-iam-policies#how_to_construct_a_query>`__ for more information. If not specified or empty, it will search all the IAM policies within the specified ``scope``. Note that the query string is compared against each IAM policy binding, including its principals, roles, and IAM conditions. The returned IAM policies will only contain the bindings that match your query. To learn more about the IAM policy structure, see the `IAM policy documentation <https://cloud.google.com/iam/help/allow-policies/structure>`__. Examples: - ``policy:amy@gmail.com`` to find IAM policy bindings that specify user "amy@gmail.com". - ``policy:roles/compute.admin`` to find IAM policy bindings that specify the Compute Admin role. - ``policy:comp*`` to find IAM policy bindings that contain "comp" as a prefix of any word in the binding. - ``policy.role.permissions:storage.buckets.update`` to find IAM policy bindings that specify a role containing "storage.buckets.update" permission. Note that if callers don't have ``iam.roles.get`` access to a role's included permissions, policy bindings that specify this role will be dropped from the search results. - ``policy.role.permissions:upd*`` to find IAM policy bindings that specify a role containing "upd" as a prefix of any word in the role permission. Note that if callers don't have ``iam.roles.get`` access to a role's included permissions, policy bindings that specify this role will be dropped from the search results. - ``resource:organizations/123456`` to find IAM policy bindings that are set on "organizations/123456". - ``resource=//cloudresourcemanager.googleapis.com/projects/myproject`` to find IAM policy bindings that are set on the project named "myproject". - ``Important`` to find IAM policy bindings that contain "Important" as a word in any of the searchable fields (except for the included permissions). - ``resource:(instance1 OR instance2) policy:amy`` to find IAM policy bindings that are set on resources "instance1" or "instance2" and also specify user "amy". - ``roles:roles/compute.admin`` to find IAM policy bindings that specify the Compute Admin role. - ``memberTypes:user`` to find IAM policy bindings that contain the principal type "user". This corresponds to the ``query`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.services.asset_service.pagers.SearchAllIamPoliciesPager: Search all IAM policies response. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([scope, query]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.SearchAllIamPoliciesRequest): request = asset_service.SearchAllIamPoliciesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if scope is not None: request.scope = scope if query is not None: request.query = query # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.search_all_iam_policies] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("scope", request.scope),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.SearchAllIamPoliciesPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def analyze_iam_policy( self, request: Optional[Union[asset_service.AnalyzeIamPolicyRequest, dict]] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.AnalyzeIamPolicyResponse: r"""Analyzes IAM policies to answer which identities have what accesses on which resources. .. code-block:: python # 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 def sample_analyze_iam_policy(): # Create a client client = asset_v1.AssetServiceClient() # 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 = client.analyze_iam_policy(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.AnalyzeIamPolicyRequest, dict]): The request object. A request message for [AssetService.AnalyzeIamPolicy][google.cloud.asset.v1.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. Returns: google.cloud.asset_v1.types.AnalyzeIamPolicyResponse: A response message for [AssetService.AnalyzeIamPolicy][google.cloud.asset.v1.AssetService.AnalyzeIamPolicy]. """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.AnalyzeIamPolicyRequest): request = asset_service.AnalyzeIamPolicyRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.analyze_iam_policy] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("analysis_query.scope", request.analysis_query.scope),) ), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def analyze_iam_policy_longrunning( self, request: Optional[ Union[asset_service.AnalyzeIamPolicyLongrunningRequest, dict] ] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation.Operation: r"""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 [AnalyzeIamPolicyResponse][google.cloud.asset.v1.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. .. code-block:: python # 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 def sample_analyze_iam_policy_longrunning(): # Create a client client = asset_v1.AssetServiceClient() # 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 = operation.result() # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.AnalyzeIamPolicyLongrunningRequest, dict]): The request object. A request message for [AssetService.AnalyzeIamPolicyLongrunning][google.cloud.asset.v1.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. Returns: google.api_core.operation.Operation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.asset_v1.types.AnalyzeIamPolicyLongrunningResponse` A response message for [AssetService.AnalyzeIamPolicyLongrunning][google.cloud.asset.v1.AssetService.AnalyzeIamPolicyLongrunning]. """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.AnalyzeIamPolicyLongrunningRequest): request = asset_service.AnalyzeIamPolicyLongrunningRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.analyze_iam_policy_longrunning ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("analysis_query.scope", request.analysis_query.scope),) ), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation.from_gapic( response, self._transport.operations_client, asset_service.AnalyzeIamPolicyLongrunningResponse, metadata_type=asset_service.AnalyzeIamPolicyLongrunningMetadata, ) # Done; return the response. return response
[docs] def analyze_move( self, request: Optional[Union[asset_service.AnalyzeMoveRequest, dict]] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.AnalyzeMoveResponse: r"""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. .. code-block:: python # 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 def sample_analyze_move(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.AnalyzeMoveRequest( resource="resource_value", destination_parent="destination_parent_value", ) # Make the request response = client.analyze_move(request=request) # Handle the response print(response) Args: request (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. Returns: google.cloud.asset_v1.types.AnalyzeMoveResponse: The response message for resource move analysis. """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.AnalyzeMoveRequest): request = asset_service.AnalyzeMoveRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.analyze_move] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def query_assets( self, request: Optional[Union[asset_service.QueryAssetsRequest, dict]] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.QueryAssetsResponse: r"""Issue a job that queries assets using a SQL statement compatible with `BigQuery SQL <https://cloud.google.com/bigquery/docs/introduction-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. .. code-block:: python # 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 def sample_query_assets(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.QueryAssetsRequest( statement="statement_value", parent="parent_value", ) # Make the request response = client.query_assets(request=request) # Handle the response print(response) Args: request (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. Returns: google.cloud.asset_v1.types.QueryAssetsResponse: QueryAssets response. """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.QueryAssetsRequest): request = asset_service.QueryAssetsRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.query_assets] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def create_saved_query( self, request: Optional[Union[asset_service.CreateSavedQueryRequest, dict]] = None, *, parent: Optional[str] = None, saved_query: Optional[asset_service.SavedQuery] = None, saved_query_id: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.SavedQuery: r"""Creates a saved query in a parent project/folder/organization. .. code-block:: python # 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 def sample_create_saved_query(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.CreateSavedQueryRequest( parent="parent_value", saved_query_id="saved_query_id_value", ) # Make the request response = client.create_saved_query(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.CreateSavedQueryRequest, dict]): The request object. Request to create a saved query. parent (str): 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 ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. saved_query (google.cloud.asset_v1.types.SavedQuery): Required. The saved_query details. The ``name`` field must be empty as it will be generated based on the parent and saved_query_id. This corresponds to the ``saved_query`` field on the ``request`` instance; if ``request`` is provided, this should not be set. saved_query_id (str): 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 ``[a-z][0-9]-``. Notice that this field is required in the saved query creation, and the ``name`` field of the ``saved_query`` will be ignored. This corresponds to the ``saved_query_id`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.types.SavedQuery: A saved query which can be shared with others or used later. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent, saved_query, saved_query_id]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.CreateSavedQueryRequest): request = asset_service.CreateSavedQueryRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if saved_query is not None: request.saved_query = saved_query if saved_query_id is not None: request.saved_query_id = saved_query_id # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.create_saved_query] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def get_saved_query( self, request: Optional[Union[asset_service.GetSavedQueryRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.SavedQuery: r"""Gets details about a saved query. .. code-block:: python # 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 def sample_get_saved_query(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.GetSavedQueryRequest( name="name_value", ) # Make the request response = client.get_saved_query(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.GetSavedQueryRequest, dict]): The request object. Request to get a saved query. name (str): 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 ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.types.SavedQuery: A saved query which can be shared with others or used later. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.GetSavedQueryRequest): request = asset_service.GetSavedQueryRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_saved_query] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def list_saved_queries( self, request: Optional[Union[asset_service.ListSavedQueriesRequest, dict]] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListSavedQueriesPager: r"""Lists all saved queries in a parent project/folder/organization. .. code-block:: python # 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 def sample_list_saved_queries(): # Create a client client = asset_v1.AssetServiceClient() # 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 for response in page_result: print(response) Args: request (Union[google.cloud.asset_v1.types.ListSavedQueriesRequest, dict]): The request object. Request to list saved queries. parent (str): 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 ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.services.asset_service.pagers.ListSavedQueriesPager: Response of listing saved queries. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.ListSavedQueriesRequest): request = asset_service.ListSavedQueriesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.list_saved_queries] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.ListSavedQueriesPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def update_saved_query( self, request: Optional[Union[asset_service.UpdateSavedQueryRequest, dict]] = None, *, saved_query: Optional[asset_service.SavedQuery] = None, update_mask: Optional[field_mask_pb2.FieldMask] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.SavedQuery: r"""Updates a saved query. .. code-block:: python # 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 def sample_update_saved_query(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.UpdateSavedQueryRequest( ) # Make the request response = client.update_saved_query(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.UpdateSavedQueryRequest, dict]): The request object. Request to update a saved query. saved_query (google.cloud.asset_v1.types.SavedQuery): Required. The saved query to update. The saved query's ``name`` field is used to identify the one to update, which has format as below: - 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 ``saved_query`` field on the ``request`` instance; if ``request`` is provided, this should not be set. update_mask (google.protobuf.field_mask_pb2.FieldMask): Required. The list of fields to update. This corresponds to the ``update_mask`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.types.SavedQuery: A saved query which can be shared with others or used later. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([saved_query, update_mask]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.UpdateSavedQueryRequest): request = asset_service.UpdateSavedQueryRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if saved_query is not None: request.saved_query = saved_query if update_mask is not None: request.update_mask = update_mask # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.update_saved_query] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("saved_query.name", request.saved_query.name),) ), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def delete_saved_query( self, request: Optional[Union[asset_service.DeleteSavedQueryRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Deletes a saved query. .. code-block:: python # 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 def sample_delete_saved_query(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.DeleteSavedQueryRequest( name="name_value", ) # Make the request client.delete_saved_query(request=request) Args: request (Union[google.cloud.asset_v1.types.DeleteSavedQueryRequest, dict]): The request object. Request to delete a saved query. name (str): 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 ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.DeleteSavedQueryRequest): request = asset_service.DeleteSavedQueryRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.delete_saved_query] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. rpc( request, retry=retry, timeout=timeout, metadata=metadata, )
[docs] def batch_get_effective_iam_policies( self, request: Optional[ Union[asset_service.BatchGetEffectiveIamPoliciesRequest, dict] ] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> asset_service.BatchGetEffectiveIamPoliciesResponse: r"""Gets effective IAM policies for a batch of resources. .. code-block:: python # 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 def sample_batch_get_effective_iam_policies(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.BatchGetEffectiveIamPoliciesRequest( scope="scope_value", names=['names_value1', 'names_value2'], ) # Make the request response = client.batch_get_effective_iam_policies(request=request) # Handle the response print(response) Args: request (Union[google.cloud.asset_v1.types.BatchGetEffectiveIamPoliciesRequest, dict]): The request object. A request message for [AssetService.BatchGetEffectiveIamPolicies][google.cloud.asset.v1.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. Returns: google.cloud.asset_v1.types.BatchGetEffectiveIamPoliciesResponse: A response message for [AssetService.BatchGetEffectiveIamPolicies][google.cloud.asset.v1.AssetService.BatchGetEffectiveIamPolicies]. """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.BatchGetEffectiveIamPoliciesRequest): request = asset_service.BatchGetEffectiveIamPoliciesRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.batch_get_effective_iam_policies ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("scope", request.scope),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def analyze_org_policies( self, request: Optional[Union[asset_service.AnalyzeOrgPoliciesRequest, dict]] = None, *, scope: Optional[str] = None, constraint: Optional[str] = None, filter: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.AnalyzeOrgPoliciesPager: r"""Analyzes organization policies under a scope. .. code-block:: python # 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 def sample_analyze_org_policies(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.AnalyzeOrgPoliciesRequest( scope="scope_value", constraint="constraint_value", ) # Make the request page_result = client.analyze_org_policies(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.asset_v1.types.AnalyzeOrgPoliciesRequest, dict]): The request object. A request message for [AssetService.AnalyzeOrgPolicies][google.cloud.asset.v1.AssetService.AnalyzeOrgPolicies]. scope (str): Required. The organization to scope the request. Only organization policies within the scope will be analyzed. - organizations/{ORGANIZATION_NUMBER} (e.g., "organizations/123456") This corresponds to the ``scope`` field on the ``request`` instance; if ``request`` is provided, this should not be set. constraint (str): Required. The name of the constraint to analyze organization policies for. The response only contains analyzed organization policies for the provided constraint. This corresponds to the ``constraint`` field on the ``request`` instance; if ``request`` is provided, this should not be set. filter (str): The expression to filter [AnalyzeOrgPoliciesResponse.org_policy_results][google.cloud.asset.v1.AnalyzeOrgPoliciesResponse.org_policy_results]. Filtering is currently available for bare literal values and the following fields: - consolidated_policy.attached_resource - consolidated_policy.rules.enforce When filtering by a specific field, the only supported operator is ``=``. For example, filtering by consolidated_policy.attached_resource="//cloudresourcemanager.googleapis.com/folders/001" will return all the Organization Policy results attached to "folders/001". This corresponds to the ``filter`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.services.asset_service.pagers.AnalyzeOrgPoliciesPager: The response message for [AssetService.AnalyzeOrgPolicies][google.cloud.asset.v1.AssetService.AnalyzeOrgPolicies]. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([scope, constraint, filter]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.AnalyzeOrgPoliciesRequest): request = asset_service.AnalyzeOrgPoliciesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if scope is not None: request.scope = scope if constraint is not None: request.constraint = constraint if filter is not None: request.filter = filter # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.analyze_org_policies] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("scope", request.scope),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.AnalyzeOrgPoliciesPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def analyze_org_policy_governed_containers( self, request: Optional[ Union[asset_service.AnalyzeOrgPolicyGovernedContainersRequest, dict] ] = None, *, scope: Optional[str] = None, constraint: Optional[str] = None, filter: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.AnalyzeOrgPolicyGovernedContainersPager: r"""Analyzes organization policies governed containers (projects, folders or organization) under a scope. .. code-block:: python # 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 def sample_analyze_org_policy_governed_containers(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.AnalyzeOrgPolicyGovernedContainersRequest( scope="scope_value", constraint="constraint_value", ) # Make the request page_result = client.analyze_org_policy_governed_containers(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.asset_v1.types.AnalyzeOrgPolicyGovernedContainersRequest, dict]): The request object. A request message for [AssetService.AnalyzeOrgPolicyGovernedContainers][google.cloud.asset.v1.AssetService.AnalyzeOrgPolicyGovernedContainers]. scope (str): Required. The organization to scope the request. Only organization policies within the scope will be analyzed. The output containers will also be limited to the ones governed by those in-scope organization policies. - organizations/{ORGANIZATION_NUMBER} (e.g., "organizations/123456") This corresponds to the ``scope`` field on the ``request`` instance; if ``request`` is provided, this should not be set. constraint (str): Required. The name of the constraint to analyze governed containers for. The analysis only contains organization policies for the provided constraint. This corresponds to the ``constraint`` field on the ``request`` instance; if ``request`` is provided, this should not be set. filter (str): The expression to filter [AnalyzeOrgPolicyGovernedContainersResponse.governed_containers][google.cloud.asset.v1.AnalyzeOrgPolicyGovernedContainersResponse.governed_containers]. Filtering is currently available for bare literal values and the following fields: - parent - consolidated_policy.rules.enforce When filtering by a specific field, the only supported operator is ``=``. For example, filtering by parent="//cloudresourcemanager.googleapis.com/folders/001" will return all the containers under "folders/001". This corresponds to the ``filter`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.services.asset_service.pagers.AnalyzeOrgPolicyGovernedContainersPager: The response message for [AssetService.AnalyzeOrgPolicyGovernedContainers][google.cloud.asset.v1.AssetService.AnalyzeOrgPolicyGovernedContainers]. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([scope, constraint, filter]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance( request, asset_service.AnalyzeOrgPolicyGovernedContainersRequest ): request = asset_service.AnalyzeOrgPolicyGovernedContainersRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if scope is not None: request.scope = scope if constraint is not None: request.constraint = constraint if filter is not None: request.filter = filter # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.analyze_org_policy_governed_containers ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("scope", request.scope),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.AnalyzeOrgPolicyGovernedContainersPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] def analyze_org_policy_governed_assets( self, request: Optional[ Union[asset_service.AnalyzeOrgPolicyGovernedAssetsRequest, dict] ] = None, *, scope: Optional[str] = None, constraint: Optional[str] = None, filter: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.AnalyzeOrgPolicyGovernedAssetsPager: r"""Analyzes organization policies governed assets (Google Cloud resources or policies) under a scope. This RPC supports custom constraints and the following canned constraints: - constraints/ainotebooks.accessMode - constraints/ainotebooks.disableFileDownloads - constraints/ainotebooks.disableRootAccess - constraints/ainotebooks.disableTerminal - constraints/ainotebooks.environmentOptions - constraints/ainotebooks.requireAutoUpgradeSchedule - constraints/ainotebooks.restrictVpcNetworks - constraints/compute.disableGuestAttributesAccess - constraints/compute.disableInstanceDataAccessApis - constraints/compute.disableNestedVirtualization - constraints/compute.disableSerialPortAccess - constraints/compute.disableSerialPortLogging - constraints/compute.disableVpcExternalIpv6 - constraints/compute.requireOsLogin - constraints/compute.requireShieldedVm - constraints/compute.restrictLoadBalancerCreationForTypes - constraints/compute.restrictProtocolForwardingCreationForTypes - constraints/compute.restrictXpnProjectLienRemoval - constraints/compute.setNewProjectDefaultToZonalDNSOnly - constraints/compute.skipDefaultNetworkCreation - constraints/compute.trustedImageProjects - constraints/compute.vmCanIpForward - constraints/compute.vmExternalIpAccess - constraints/gcp.detailedAuditLoggingMode - constraints/gcp.resourceLocations - constraints/iam.allowedPolicyMemberDomains - constraints/iam.automaticIamGrantsForDefaultServiceAccounts - constraints/iam.disableServiceAccountCreation - constraints/iam.disableServiceAccountKeyCreation - constraints/iam.disableServiceAccountKeyUpload - constraints/iam.restrictCrossProjectServiceAccountLienRemoval - constraints/iam.serviceAccountKeyExpiryHours - constraints/resourcemanager.accessBoundaries - constraints/resourcemanager.allowedExportDestinations - constraints/sql.restrictAuthorizedNetworks - constraints/sql.restrictNoncompliantDiagnosticDataAccess - constraints/sql.restrictNoncompliantResourceCreation - constraints/sql.restrictPublicIp - constraints/storage.publicAccessPrevention - constraints/storage.restrictAuthTypes - constraints/storage.uniformBucketLevelAccess This RPC only returns either resources of types `supported by search APIs <https://cloud.google.com/asset-inventory/docs/supported-asset-types>`__ or IAM policies. .. code-block:: python # 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 def sample_analyze_org_policy_governed_assets(): # Create a client client = asset_v1.AssetServiceClient() # Initialize request argument(s) request = asset_v1.AnalyzeOrgPolicyGovernedAssetsRequest( scope="scope_value", constraint="constraint_value", ) # Make the request page_result = client.analyze_org_policy_governed_assets(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.asset_v1.types.AnalyzeOrgPolicyGovernedAssetsRequest, dict]): The request object. A request message for [AssetService.AnalyzeOrgPolicyGovernedAssets][google.cloud.asset.v1.AssetService.AnalyzeOrgPolicyGovernedAssets]. scope (str): Required. The organization to scope the request. Only organization policies within the scope will be analyzed. The output assets will also be limited to the ones governed by those in-scope organization policies. - organizations/{ORGANIZATION_NUMBER} (e.g., "organizations/123456") This corresponds to the ``scope`` field on the ``request`` instance; if ``request`` is provided, this should not be set. constraint (str): Required. The name of the constraint to analyze governed assets for. The analysis only contains analyzed organization policies for the provided constraint. This corresponds to the ``constraint`` field on the ``request`` instance; if ``request`` is provided, this should not be set. filter (str): The expression to filter [AnalyzeOrgPolicyGovernedAssetsResponse.governed_assets][google.cloud.asset.v1.AnalyzeOrgPolicyGovernedAssetsResponse.governed_assets]. For governed resources, filtering is currently available for bare literal values and the following fields: - governed_resource.project - governed_resource.folders - consolidated_policy.rules.enforce When filtering by ``governed_resource.project`` or ``consolidated_policy.rules.enforce``, the only supported operator is ``=``. When filtering by ``governed_resource.folders``, the supported operators are ``=`` and ``:``. For example, filtering by ``governed_resource.project="projects/12345678"`` will return all the governed resources under "projects/12345678", including the project itself if applicable. For governed IAM policies, filtering is currently available for bare literal values and the following fields: - governed_iam_policy.project - governed_iam_policy.folders - consolidated_policy.rules.enforce When filtering by ``governed_iam_policy.project`` or ``consolidated_policy.rules.enforce``, the only supported operator is ``=``. When filtering by ``governed_iam_policy.folders``, the supported operators are ``=`` and ``:``. For example, filtering by ``governed_iam_policy.folders:"folders/12345678"`` will return all the governed IAM policies under "folders/001". This corresponds to the ``filter`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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: google.cloud.asset_v1.services.asset_service.pagers.AnalyzeOrgPolicyGovernedAssetsPager: The response message for [AssetService.AnalyzeOrgPolicyGovernedAssets][google.cloud.asset.v1.AssetService.AnalyzeOrgPolicyGovernedAssets]. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([scope, constraint, filter]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, asset_service.AnalyzeOrgPolicyGovernedAssetsRequest): request = asset_service.AnalyzeOrgPolicyGovernedAssetsRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if scope is not None: request.scope = scope if constraint is not None: request.constraint = constraint if filter is not None: request.filter = filter # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.analyze_org_policy_governed_assets ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("scope", request.scope),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.AnalyzeOrgPolicyGovernedAssetsPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
def __enter__(self) -> "AssetServiceClient": return self
[docs] def __exit__(self, type, value, traceback): """Releases underlying transport's resources. .. warning:: ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients! """ self.transport.close()
[docs] def get_operation( self, request: Optional[operations_pb2.GetOperationRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operations_pb2.Operation: r"""Gets the latest state of a long-running operation. Args: request (:class:`~.operations_pb2.GetOperationRequest`): The request object. Request message for `GetOperation` method. 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: ~.operations_pb2.Operation: An ``Operation`` object. """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = operations_pb2.GetOperationRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_operation] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( gapic_version=package_version.__version__ ) __all__ = ("AssetServiceClient",)