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.analytics.admin_v1beta.services.analytics_admin_service.client
# -*- coding: utf-8 -*-
# Copyright 2023 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 (
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.analytics.admin_v1beta 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.protobuf import field_mask_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.protobuf import wrappers_pb2 # type: ignore
from google.analytics.admin_v1beta.services.analytics_admin_service import pagers
from google.analytics.admin_v1beta.types import (
access_report,
analytics_admin,
resources,
)
from .transports.base import DEFAULT_CLIENT_INFO, AnalyticsAdminServiceTransport
from .transports.grpc import AnalyticsAdminServiceGrpcTransport
from .transports.grpc_asyncio import AnalyticsAdminServiceGrpcAsyncIOTransport
from .transports.rest import AnalyticsAdminServiceRestTransport
class AnalyticsAdminServiceClientMeta(type):
"""Metaclass for the AnalyticsAdminService 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[AnalyticsAdminServiceTransport]]
_transport_registry["grpc"] = AnalyticsAdminServiceGrpcTransport
_transport_registry["grpc_asyncio"] = AnalyticsAdminServiceGrpcAsyncIOTransport
_transport_registry["rest"] = AnalyticsAdminServiceRestTransport
def get_transport_class(
cls,
label: Optional[str] = None,
) -> Type[AnalyticsAdminServiceTransport]:
"""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 AnalyticsAdminServiceClient(metaclass=AnalyticsAdminServiceClientMeta):
"""Service Interface for the Analytics Admin API (GA4)."""
@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 = "analyticsadmin.googleapis.com"
DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore
DEFAULT_ENDPOINT
)
_DEFAULT_ENDPOINT_TEMPLATE = "analyticsadmin.{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:
AnalyticsAdminServiceClient: 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:
AnalyticsAdminServiceClient: 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) -> AnalyticsAdminServiceTransport:
"""Returns the transport used by the client instance.
Returns:
AnalyticsAdminServiceTransport: The transport used by the client
instance.
"""
return self._transport
[docs] @staticmethod
def account_path(
account: str,
) -> str:
"""Returns a fully-qualified account string."""
return "accounts/{account}".format(
account=account,
)
[docs] @staticmethod
def parse_account_path(path: str) -> Dict[str, str]:
"""Parses a account path into its component segments."""
m = re.match(r"^accounts/(?P<account>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def account_summary_path(
account_summary: str,
) -> str:
"""Returns a fully-qualified account_summary string."""
return "accountSummaries/{account_summary}".format(
account_summary=account_summary,
)
[docs] @staticmethod
def parse_account_summary_path(path: str) -> Dict[str, str]:
"""Parses a account_summary path into its component segments."""
m = re.match(r"^accountSummaries/(?P<account_summary>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def conversion_event_path(
property: str,
conversion_event: str,
) -> str:
"""Returns a fully-qualified conversion_event string."""
return "properties/{property}/conversionEvents/{conversion_event}".format(
property=property,
conversion_event=conversion_event,
)
[docs] @staticmethod
def parse_conversion_event_path(path: str) -> Dict[str, str]:
"""Parses a conversion_event path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/conversionEvents/(?P<conversion_event>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def custom_dimension_path(
property: str,
custom_dimension: str,
) -> str:
"""Returns a fully-qualified custom_dimension string."""
return "properties/{property}/customDimensions/{custom_dimension}".format(
property=property,
custom_dimension=custom_dimension,
)
[docs] @staticmethod
def parse_custom_dimension_path(path: str) -> Dict[str, str]:
"""Parses a custom_dimension path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/customDimensions/(?P<custom_dimension>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def custom_metric_path(
property: str,
custom_metric: str,
) -> str:
"""Returns a fully-qualified custom_metric string."""
return "properties/{property}/customMetrics/{custom_metric}".format(
property=property,
custom_metric=custom_metric,
)
[docs] @staticmethod
def parse_custom_metric_path(path: str) -> Dict[str, str]:
"""Parses a custom_metric path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/customMetrics/(?P<custom_metric>.+?)$", path
)
return m.groupdict() if m else {}
[docs] @staticmethod
def data_retention_settings_path(
property: str,
) -> str:
"""Returns a fully-qualified data_retention_settings string."""
return "properties/{property}/dataRetentionSettings".format(
property=property,
)
[docs] @staticmethod
def parse_data_retention_settings_path(path: str) -> Dict[str, str]:
"""Parses a data_retention_settings path into its component segments."""
m = re.match(r"^properties/(?P<property>.+?)/dataRetentionSettings$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def data_sharing_settings_path(
account: str,
) -> str:
"""Returns a fully-qualified data_sharing_settings string."""
return "accounts/{account}/dataSharingSettings".format(
account=account,
)
[docs] @staticmethod
def parse_data_sharing_settings_path(path: str) -> Dict[str, str]:
"""Parses a data_sharing_settings path into its component segments."""
m = re.match(r"^accounts/(?P<account>.+?)/dataSharingSettings$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def data_stream_path(
property: str,
data_stream: str,
) -> str:
"""Returns a fully-qualified data_stream string."""
return "properties/{property}/dataStreams/{data_stream}".format(
property=property,
data_stream=data_stream,
)
[docs] @staticmethod
def parse_data_stream_path(path: str) -> Dict[str, str]:
"""Parses a data_stream path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/dataStreams/(?P<data_stream>.+?)$", path
)
return m.groupdict() if m else {}
[docs] @staticmethod
def firebase_link_path(
property: str,
firebase_link: str,
) -> str:
"""Returns a fully-qualified firebase_link string."""
return "properties/{property}/firebaseLinks/{firebase_link}".format(
property=property,
firebase_link=firebase_link,
)
[docs] @staticmethod
def parse_firebase_link_path(path: str) -> Dict[str, str]:
"""Parses a firebase_link path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/firebaseLinks/(?P<firebase_link>.+?)$", path
)
return m.groupdict() if m else {}
[docs] @staticmethod
def google_ads_link_path(
property: str,
google_ads_link: str,
) -> str:
"""Returns a fully-qualified google_ads_link string."""
return "properties/{property}/googleAdsLinks/{google_ads_link}".format(
property=property,
google_ads_link=google_ads_link,
)
[docs] @staticmethod
def parse_google_ads_link_path(path: str) -> Dict[str, str]:
"""Parses a google_ads_link path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/googleAdsLinks/(?P<google_ads_link>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def measurement_protocol_secret_path(
property: str,
data_stream: str,
measurement_protocol_secret: str,
) -> str:
"""Returns a fully-qualified measurement_protocol_secret string."""
return "properties/{property}/dataStreams/{data_stream}/measurementProtocolSecrets/{measurement_protocol_secret}".format(
property=property,
data_stream=data_stream,
measurement_protocol_secret=measurement_protocol_secret,
)
[docs] @staticmethod
def parse_measurement_protocol_secret_path(path: str) -> Dict[str, str]:
"""Parses a measurement_protocol_secret path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/dataStreams/(?P<data_stream>.+?)/measurementProtocolSecrets/(?P<measurement_protocol_secret>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def property_path(
property: str,
) -> str:
"""Returns a fully-qualified property string."""
return "properties/{property}".format(
property=property,
)
[docs] @staticmethod
def parse_property_path(path: str) -> Dict[str, str]:
"""Parses a property path into its component segments."""
m = re.match(r"^properties/(?P<property>.+?)$", 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 = AnalyticsAdminServiceClient._DEFAULT_UNIVERSE
if universe_domain != _default_universe:
raise MutualTLSChannelError(
f"mTLS is not supported in any universe other than {_default_universe}."
)
api_endpoint = AnalyticsAdminServiceClient.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = (
AnalyticsAdminServiceClient._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 = AnalyticsAdminServiceClient._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
@staticmethod
def _compare_universes(
client_universe: str, credentials: ga_credentials.Credentials
) -> bool:
"""Returns True iff the universe domains used by the client and credentials match.
Args:
client_universe (str): The universe domain configured via the client options.
credentials (ga_credentials.Credentials): The credentials being used in the client.
Returns:
bool: True iff client_universe matches the universe in credentials.
Raises:
ValueError: when client_universe does not match the universe in credentials.
"""
default_universe = AnalyticsAdminServiceClient._DEFAULT_UNIVERSE
credentials_universe = getattr(credentials, "universe_domain", default_universe)
if client_universe != credentials_universe:
raise ValueError(
"The configured universe domain "
f"({client_universe}) does not match the universe domain "
f"found in the credentials ({credentials_universe}). "
"If you haven't configured the universe domain explicitly, "
f"`{default_universe}` is the default."
)
return True
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.
"""
self._is_universe_domain_valid = (
self._is_universe_domain_valid
or AnalyticsAdminServiceClient._compare_universes(
self.universe_domain, self.transport._credentials
)
)
return self._is_universe_domain_valid
@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, AnalyticsAdminServiceTransport]] = None,
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the analytics admin 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 (Union[str, AnalyticsAdminServiceTransport]): The
transport to use. 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,
) = AnalyticsAdminServiceClient._read_environment_variables()
self._client_cert_source = AnalyticsAdminServiceClient._get_client_cert_source(
self._client_options.client_cert_source, self._use_client_cert
)
self._universe_domain = AnalyticsAdminServiceClient._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, AnalyticsAdminServiceTransport)
if transport_provided:
# transport is a AnalyticsAdminServiceTransport 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(AnalyticsAdminServiceTransport, transport)
self._api_endpoint = self._transport.host
self._api_endpoint = (
self._api_endpoint
or AnalyticsAdminServiceClient._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 = type(self).get_transport_class(cast(str, transport))
self._transport = Transport(
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 get_account(
self,
request: Optional[Union[analytics_admin.GetAccountRequest, 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]] = (),
) -> resources.Account:
r"""Lookup for a single Account.
.. 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.analytics import admin_v1beta
def sample_get_account():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetAccountRequest(
name="name_value",
)
# Make the request
response = client.get_account(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetAccountRequest, dict]):
The request object. Request message for GetAccount RPC.
name (str):
Required. The name of the account to
lookup. Format: accounts/{account}
Example: "accounts/100"
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.analytics.admin_v1beta.types.Account:
A resource message representing a
Google Analytics account.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetAccountRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetAccountRequest):
request = analytics_admin.GetAccountRequest(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_account]
# 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_accounts(
self,
request: Optional[Union[analytics_admin.ListAccountsRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListAccountsPager:
r"""Returns all accounts accessible by the caller.
Note that these accounts might not currently have GA4
properties. Soft-deleted (ie: "trashed") accounts are
excluded by default. Returns an empty list if no
relevant accounts are found.
.. 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.analytics import admin_v1beta
def sample_list_accounts():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListAccountsRequest(
)
# Make the request
page_result = client.list_accounts(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListAccountsRequest, dict]):
The request object. Request message for ListAccounts RPC.
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListAccountsPager:
Request message for ListAccounts RPC.
Iterating over this object will yield
results and resolve additional pages
automatically.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListAccountsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListAccountsRequest):
request = analytics_admin.ListAccountsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_accounts]
# 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.ListAccountsPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def delete_account(
self,
request: Optional[Union[analytics_admin.DeleteAccountRequest, 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"""Marks target Account as soft-deleted (ie: "trashed")
and returns it.
This API does not have a method to restore soft-deleted
accounts. However, they can be restored using the Trash
Can UI.
If the accounts are not restored before the expiration
time, the account and all child resources (eg:
Properties, GoogleAdsLinks, Streams, UserLinks) will be
permanently purged.
https://support.google.com/analytics/answer/6154772
Returns an error if the target is not found.
.. 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.analytics import admin_v1beta
def sample_delete_account():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.DeleteAccountRequest(
name="name_value",
)
# Make the request
client.delete_account(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.DeleteAccountRequest, dict]):
The request object. Request message for DeleteAccount
RPC.
name (str):
Required. The name of the Account to
soft-delete. Format: accounts/{account}
Example: "accounts/100"
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.DeleteAccountRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.DeleteAccountRequest):
request = analytics_admin.DeleteAccountRequest(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_account]
# 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 update_account(
self,
request: Optional[Union[analytics_admin.UpdateAccountRequest, dict]] = None,
*,
account: Optional[resources.Account] = 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]] = (),
) -> resources.Account:
r"""Updates an account.
.. 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.analytics import admin_v1beta
def sample_update_account():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
account = admin_v1beta.Account()
account.display_name = "display_name_value"
request = admin_v1beta.UpdateAccountRequest(
account=account,
)
# Make the request
response = client.update_account(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateAccountRequest, dict]):
The request object. Request message for UpdateAccount
RPC.
account (google.analytics.admin_v1beta.types.Account):
Required. The account to update. The account's ``name``
field is used to identify the account.
This corresponds to the ``account`` 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 be updated. Field names
must be in snake case (for example, "field_to_update").
Omitted fields will not be updated. To replace the
entire entity, use one path with the string "*" to match
all fields.
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.analytics.admin_v1beta.types.Account:
A resource message representing a
Google Analytics account.
"""
# 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([account, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateAccountRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdateAccountRequest):
request = analytics_admin.UpdateAccountRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if account is not None:
request.account = account
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_account]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("account.name", request.account.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 provision_account_ticket(
self,
request: Optional[
Union[analytics_admin.ProvisionAccountTicketRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_admin.ProvisionAccountTicketResponse:
r"""Requests a ticket for creating an account.
.. 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.analytics import admin_v1beta
def sample_provision_account_ticket():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ProvisionAccountTicketRequest(
)
# Make the request
response = client.provision_account_ticket(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ProvisionAccountTicketRequest, dict]):
The request object. Request message for
ProvisionAccountTicket RPC.
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.analytics.admin_v1beta.types.ProvisionAccountTicketResponse:
Response message for
ProvisionAccountTicket RPC.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ProvisionAccountTicketRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ProvisionAccountTicketRequest):
request = analytics_admin.ProvisionAccountTicketRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.provision_account_ticket]
# 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_account_summaries(
self,
request: Optional[
Union[analytics_admin.ListAccountSummariesRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListAccountSummariesPager:
r"""Returns summaries of all accounts accessible by the
caller.
.. 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.analytics import admin_v1beta
def sample_list_account_summaries():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListAccountSummariesRequest(
)
# Make the request
page_result = client.list_account_summaries(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListAccountSummariesRequest, dict]):
The request object. Request message for
ListAccountSummaries RPC.
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListAccountSummariesPager:
Response message for
ListAccountSummaries RPC.
Iterating over this object will yield
results and resolve additional pages
automatically.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListAccountSummariesRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListAccountSummariesRequest):
request = analytics_admin.ListAccountSummariesRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_account_summaries]
# 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.ListAccountSummariesPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_property(
self,
request: Optional[Union[analytics_admin.GetPropertyRequest, 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]] = (),
) -> resources.Property:
r"""Lookup for a single "GA4" Property.
.. 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.analytics import admin_v1beta
def sample_get_property():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetPropertyRequest(
name="name_value",
)
# Make the request
response = client.get_property(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetPropertyRequest, dict]):
The request object. Request message for GetProperty RPC.
name (str):
Required. The name of the property to lookup. Format:
properties/{property_id} Example: "properties/1000"
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.analytics.admin_v1beta.types.Property:
A resource message representing a
Google Analytics GA4 property.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetPropertyRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetPropertyRequest):
request = analytics_admin.GetPropertyRequest(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_property]
# 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_properties(
self,
request: Optional[Union[analytics_admin.ListPropertiesRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListPropertiesPager:
r"""Returns child Properties under the specified parent
Account.
Only "GA4" properties will be returned.
Properties will be excluded if the caller does not have
access. Soft-deleted (ie: "trashed") properties are
excluded by default. Returns an empty list if no
relevant properties are found.
.. 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.analytics import admin_v1beta
def sample_list_properties():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListPropertiesRequest(
filter="filter_value",
)
# Make the request
page_result = client.list_properties(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListPropertiesRequest, dict]):
The request object. Request message for ListProperties
RPC.
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListPropertiesPager:
Response message for ListProperties
RPC.
Iterating over this object will yield
results and resolve additional pages
automatically.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListPropertiesRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListPropertiesRequest):
request = analytics_admin.ListPropertiesRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_properties]
# 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.ListPropertiesPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def create_property(
self,
request: Optional[Union[analytics_admin.CreatePropertyRequest, dict]] = None,
*,
property: Optional[resources.Property] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.Property:
r"""Creates an "GA4" property with the specified location
and attributes.
.. 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.analytics import admin_v1beta
def sample_create_property():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
property = admin_v1beta.Property()
property.display_name = "display_name_value"
property.time_zone = "time_zone_value"
request = admin_v1beta.CreatePropertyRequest(
property=property,
)
# Make the request
response = client.create_property(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreatePropertyRequest, dict]):
The request object. Request message for CreateProperty
RPC.
property (google.analytics.admin_v1beta.types.Property):
Required. The property to create.
Note: the supplied property must specify
its parent.
This corresponds to the ``property`` 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.analytics.admin_v1beta.types.Property:
A resource message representing a
Google Analytics GA4 property.
"""
# 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([property])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreatePropertyRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.CreatePropertyRequest):
request = analytics_admin.CreatePropertyRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if property is not None:
request.property = property
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_property]
# 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_property(
self,
request: Optional[Union[analytics_admin.DeletePropertyRequest, 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]] = (),
) -> resources.Property:
r"""Marks target Property as soft-deleted (ie: "trashed")
and returns it.
This API does not have a method to restore soft-deleted
properties. However, they can be restored using the
Trash Can UI.
If the properties are not restored before the expiration
time, the Property and all child resources (eg:
GoogleAdsLinks, Streams, UserLinks) will be permanently
purged.
https://support.google.com/analytics/answer/6154772
Returns an error if the target is not found, or is not a
GA4 Property.
.. 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.analytics import admin_v1beta
def sample_delete_property():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.DeletePropertyRequest(
name="name_value",
)
# Make the request
response = client.delete_property(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.DeletePropertyRequest, dict]):
The request object. Request message for DeleteProperty
RPC.
name (str):
Required. The name of the Property to soft-delete.
Format: properties/{property_id} Example:
"properties/1000"
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.analytics.admin_v1beta.types.Property:
A resource message representing a
Google Analytics GA4 property.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.DeletePropertyRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.DeletePropertyRequest):
request = analytics_admin.DeletePropertyRequest(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_property]
# 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 update_property(
self,
request: Optional[Union[analytics_admin.UpdatePropertyRequest, dict]] = None,
*,
property: Optional[resources.Property] = 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]] = (),
) -> resources.Property:
r"""Updates a property.
.. 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.analytics import admin_v1beta
def sample_update_property():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
property = admin_v1beta.Property()
property.display_name = "display_name_value"
property.time_zone = "time_zone_value"
request = admin_v1beta.UpdatePropertyRequest(
property=property,
)
# Make the request
response = client.update_property(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdatePropertyRequest, dict]):
The request object. Request message for UpdateProperty
RPC.
property (google.analytics.admin_v1beta.types.Property):
Required. The property to update. The property's
``name`` field is used to identify the property to be
updated.
This corresponds to the ``property`` 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 be updated. Field names
must be in snake case (e.g., "field_to_update"). Omitted
fields will not be updated. To replace the entire
entity, use one path with the string "*" to match all
fields.
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.analytics.admin_v1beta.types.Property:
A resource message representing a
Google Analytics GA4 property.
"""
# 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([property, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdatePropertyRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdatePropertyRequest):
request = analytics_admin.UpdatePropertyRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if property is not None:
request.property = property
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_property]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("property.name", request.property.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 create_firebase_link(
self,
request: Optional[
Union[analytics_admin.CreateFirebaseLinkRequest, dict]
] = None,
*,
parent: Optional[str] = None,
firebase_link: Optional[resources.FirebaseLink] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.FirebaseLink:
r"""Creates a FirebaseLink.
Properties can have at most one FirebaseLink.
.. 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.analytics import admin_v1beta
def sample_create_firebase_link():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.CreateFirebaseLinkRequest(
parent="parent_value",
)
# Make the request
response = client.create_firebase_link(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreateFirebaseLinkRequest, dict]):
The request object. Request message for
CreateFirebaseLink RPC
parent (str):
Required. Format: properties/{property_id} Example:
properties/1234
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
firebase_link (google.analytics.admin_v1beta.types.FirebaseLink):
Required. The Firebase link to
create.
This corresponds to the ``firebase_link`` 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.analytics.admin_v1beta.types.FirebaseLink:
A link between a GA4 property and a
Firebase project.
"""
# 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, firebase_link])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreateFirebaseLinkRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.CreateFirebaseLinkRequest):
request = analytics_admin.CreateFirebaseLinkRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if firebase_link is not None:
request.firebase_link = firebase_link
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_firebase_link]
# 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 delete_firebase_link(
self,
request: Optional[
Union[analytics_admin.DeleteFirebaseLinkRequest, 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 FirebaseLink on a property
.. 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.analytics import admin_v1beta
def sample_delete_firebase_link():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.DeleteFirebaseLinkRequest(
name="name_value",
)
# Make the request
client.delete_firebase_link(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.DeleteFirebaseLinkRequest, dict]):
The request object. Request message for
DeleteFirebaseLink RPC
name (str):
Required. Format:
properties/{property_id}/firebaseLinks/{firebase_link_id}
Example: properties/1234/firebaseLinks/5678
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.DeleteFirebaseLinkRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.DeleteFirebaseLinkRequest):
request = analytics_admin.DeleteFirebaseLinkRequest(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_firebase_link]
# 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 list_firebase_links(
self,
request: Optional[Union[analytics_admin.ListFirebaseLinksRequest, 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.ListFirebaseLinksPager:
r"""Lists FirebaseLinks on a property.
Properties can have at most one FirebaseLink.
.. 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.analytics import admin_v1beta
def sample_list_firebase_links():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListFirebaseLinksRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_firebase_links(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListFirebaseLinksRequest, dict]):
The request object. Request message for ListFirebaseLinks
RPC
parent (str):
Required. Format: properties/{property_id} Example:
properties/1234
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListFirebaseLinksPager:
Response message for
ListFirebaseLinks RPC
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListFirebaseLinksRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListFirebaseLinksRequest):
request = analytics_admin.ListFirebaseLinksRequest(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_firebase_links]
# 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.ListFirebaseLinksPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def create_google_ads_link(
self,
request: Optional[
Union[analytics_admin.CreateGoogleAdsLinkRequest, dict]
] = None,
*,
parent: Optional[str] = None,
google_ads_link: Optional[resources.GoogleAdsLink] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.GoogleAdsLink:
r"""Creates a GoogleAdsLink.
.. 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.analytics import admin_v1beta
def sample_create_google_ads_link():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.CreateGoogleAdsLinkRequest(
parent="parent_value",
)
# Make the request
response = client.create_google_ads_link(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreateGoogleAdsLinkRequest, dict]):
The request object. Request message for
CreateGoogleAdsLink RPC
parent (str):
Required. Example format:
properties/1234
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
google_ads_link (google.analytics.admin_v1beta.types.GoogleAdsLink):
Required. The GoogleAdsLink to
create.
This corresponds to the ``google_ads_link`` 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.analytics.admin_v1beta.types.GoogleAdsLink:
A link between a GA4 property and a
Google Ads account.
"""
# 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, google_ads_link])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreateGoogleAdsLinkRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.CreateGoogleAdsLinkRequest):
request = analytics_admin.CreateGoogleAdsLinkRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if google_ads_link is not None:
request.google_ads_link = google_ads_link
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_google_ads_link]
# 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_google_ads_link(
self,
request: Optional[
Union[analytics_admin.UpdateGoogleAdsLinkRequest, dict]
] = None,
*,
google_ads_link: Optional[resources.GoogleAdsLink] = 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]] = (),
) -> resources.GoogleAdsLink:
r"""Updates a GoogleAdsLink on a property
.. 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.analytics import admin_v1beta
def sample_update_google_ads_link():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.UpdateGoogleAdsLinkRequest(
)
# Make the request
response = client.update_google_ads_link(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateGoogleAdsLinkRequest, dict]):
The request object. Request message for
UpdateGoogleAdsLink RPC
google_ads_link (google.analytics.admin_v1beta.types.GoogleAdsLink):
The GoogleAdsLink to update
This corresponds to the ``google_ads_link`` 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 be updated. Field names
must be in snake case (e.g., "field_to_update"). Omitted
fields will not be updated. To replace the entire
entity, use one path with the string "*" to match all
fields.
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.analytics.admin_v1beta.types.GoogleAdsLink:
A link between a GA4 property and a
Google Ads account.
"""
# 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([google_ads_link, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateGoogleAdsLinkRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdateGoogleAdsLinkRequest):
request = analytics_admin.UpdateGoogleAdsLinkRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if google_ads_link is not None:
request.google_ads_link = google_ads_link
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_google_ads_link]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("google_ads_link.name", request.google_ads_link.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_google_ads_link(
self,
request: Optional[
Union[analytics_admin.DeleteGoogleAdsLinkRequest, 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 GoogleAdsLink on a property
.. 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.analytics import admin_v1beta
def sample_delete_google_ads_link():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.DeleteGoogleAdsLinkRequest(
name="name_value",
)
# Make the request
client.delete_google_ads_link(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.DeleteGoogleAdsLinkRequest, dict]):
The request object. Request message for
DeleteGoogleAdsLink RPC.
name (str):
Required. Example format:
properties/1234/googleAdsLinks/5678
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.DeleteGoogleAdsLinkRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.DeleteGoogleAdsLinkRequest):
request = analytics_admin.DeleteGoogleAdsLinkRequest(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_google_ads_link]
# 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 list_google_ads_links(
self,
request: Optional[
Union[analytics_admin.ListGoogleAdsLinksRequest, 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.ListGoogleAdsLinksPager:
r"""Lists GoogleAdsLinks on a property.
.. 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.analytics import admin_v1beta
def sample_list_google_ads_links():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListGoogleAdsLinksRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_google_ads_links(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListGoogleAdsLinksRequest, dict]):
The request object. Request message for
ListGoogleAdsLinks RPC.
parent (str):
Required. Example format:
properties/1234
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListGoogleAdsLinksPager:
Response message for
ListGoogleAdsLinks RPC.
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListGoogleAdsLinksRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListGoogleAdsLinksRequest):
request = analytics_admin.ListGoogleAdsLinksRequest(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_google_ads_links]
# 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.ListGoogleAdsLinksPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_data_sharing_settings(
self,
request: Optional[
Union[analytics_admin.GetDataSharingSettingsRequest, 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]] = (),
) -> resources.DataSharingSettings:
r"""Get data sharing settings on an account.
Data sharing settings are singletons.
.. 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.analytics import admin_v1beta
def sample_get_data_sharing_settings():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetDataSharingSettingsRequest(
name="name_value",
)
# Make the request
response = client.get_data_sharing_settings(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetDataSharingSettingsRequest, dict]):
The request object. Request message for
GetDataSharingSettings RPC.
name (str):
Required. The name of the settings to
lookup. Format:
accounts/{account}/dataSharingSettings
Example:
"accounts/1000/dataSharingSettings"
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.analytics.admin_v1beta.types.DataSharingSettings:
A resource message representing data
sharing settings of a Google Analytics
account.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetDataSharingSettingsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetDataSharingSettingsRequest):
request = analytics_admin.GetDataSharingSettingsRequest(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_data_sharing_settings
]
# 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 get_measurement_protocol_secret(
self,
request: Optional[
Union[analytics_admin.GetMeasurementProtocolSecretRequest, 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]] = (),
) -> resources.MeasurementProtocolSecret:
r"""Lookup for a single "GA4" MeasurementProtocolSecret.
.. 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.analytics import admin_v1beta
def sample_get_measurement_protocol_secret():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetMeasurementProtocolSecretRequest(
name="name_value",
)
# Make the request
response = client.get_measurement_protocol_secret(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetMeasurementProtocolSecretRequest, dict]):
The request object. Request message for
GetMeasurementProtocolSecret RPC.
name (str):
Required. The name of the measurement
protocol secret to lookup. Format:
properties/{property}/dataStreams/{dataStream}/measurementProtocolSecrets/{measurementProtocolSecret}
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.analytics.admin_v1beta.types.MeasurementProtocolSecret:
A secret value used for sending hits
to Measurement Protocol.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetMeasurementProtocolSecretRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetMeasurementProtocolSecretRequest):
request = analytics_admin.GetMeasurementProtocolSecretRequest(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_measurement_protocol_secret
]
# 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_measurement_protocol_secrets(
self,
request: Optional[
Union[analytics_admin.ListMeasurementProtocolSecretsRequest, 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.ListMeasurementProtocolSecretsPager:
r"""Returns child MeasurementProtocolSecrets under the
specified parent Property.
.. 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.analytics import admin_v1beta
def sample_list_measurement_protocol_secrets():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListMeasurementProtocolSecretsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_measurement_protocol_secrets(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListMeasurementProtocolSecretsRequest, dict]):
The request object. Request message for
ListMeasurementProtocolSecret RPC
parent (str):
Required. The resource name of the
parent stream. Format:
properties/{property}/dataStreams/{dataStream}/measurementProtocolSecrets
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListMeasurementProtocolSecretsPager:
Response message for
ListMeasurementProtocolSecret RPC
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListMeasurementProtocolSecretsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(
request, analytics_admin.ListMeasurementProtocolSecretsRequest
):
request = analytics_admin.ListMeasurementProtocolSecretsRequest(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_measurement_protocol_secrets
]
# 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.ListMeasurementProtocolSecretsPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def create_measurement_protocol_secret(
self,
request: Optional[
Union[analytics_admin.CreateMeasurementProtocolSecretRequest, dict]
] = None,
*,
parent: Optional[str] = None,
measurement_protocol_secret: Optional[
resources.MeasurementProtocolSecret
] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.MeasurementProtocolSecret:
r"""Creates a measurement protocol secret.
.. 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.analytics import admin_v1beta
def sample_create_measurement_protocol_secret():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
measurement_protocol_secret = admin_v1beta.MeasurementProtocolSecret()
measurement_protocol_secret.display_name = "display_name_value"
request = admin_v1beta.CreateMeasurementProtocolSecretRequest(
parent="parent_value",
measurement_protocol_secret=measurement_protocol_secret,
)
# Make the request
response = client.create_measurement_protocol_secret(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreateMeasurementProtocolSecretRequest, dict]):
The request object. Request message for
CreateMeasurementProtocolSecret RPC
parent (str):
Required. The parent resource where
this secret will be created. Format:
properties/{property}/dataStreams/{dataStream}
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
measurement_protocol_secret (google.analytics.admin_v1beta.types.MeasurementProtocolSecret):
Required. The measurement protocol
secret to create.
This corresponds to the ``measurement_protocol_secret`` 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.analytics.admin_v1beta.types.MeasurementProtocolSecret:
A secret value used for sending hits
to Measurement Protocol.
"""
# 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, measurement_protocol_secret])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreateMeasurementProtocolSecretRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(
request, analytics_admin.CreateMeasurementProtocolSecretRequest
):
request = analytics_admin.CreateMeasurementProtocolSecretRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if measurement_protocol_secret is not None:
request.measurement_protocol_secret = measurement_protocol_secret
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.create_measurement_protocol_secret
]
# 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 delete_measurement_protocol_secret(
self,
request: Optional[
Union[analytics_admin.DeleteMeasurementProtocolSecretRequest, 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 target MeasurementProtocolSecret.
.. 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.analytics import admin_v1beta
def sample_delete_measurement_protocol_secret():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.DeleteMeasurementProtocolSecretRequest(
name="name_value",
)
# Make the request
client.delete_measurement_protocol_secret(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.DeleteMeasurementProtocolSecretRequest, dict]):
The request object. Request message for
DeleteMeasurementProtocolSecret RPC
name (str):
Required. The name of the
MeasurementProtocolSecret to delete.
Format:
properties/{property}/dataStreams/{dataStream}/measurementProtocolSecrets/{measurementProtocolSecret}
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.DeleteMeasurementProtocolSecretRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(
request, analytics_admin.DeleteMeasurementProtocolSecretRequest
):
request = analytics_admin.DeleteMeasurementProtocolSecretRequest(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_measurement_protocol_secret
]
# 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 update_measurement_protocol_secret(
self,
request: Optional[
Union[analytics_admin.UpdateMeasurementProtocolSecretRequest, dict]
] = None,
*,
measurement_protocol_secret: Optional[
resources.MeasurementProtocolSecret
] = 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]] = (),
) -> resources.MeasurementProtocolSecret:
r"""Updates a measurement protocol secret.
.. 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.analytics import admin_v1beta
def sample_update_measurement_protocol_secret():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
measurement_protocol_secret = admin_v1beta.MeasurementProtocolSecret()
measurement_protocol_secret.display_name = "display_name_value"
request = admin_v1beta.UpdateMeasurementProtocolSecretRequest(
measurement_protocol_secret=measurement_protocol_secret,
)
# Make the request
response = client.update_measurement_protocol_secret(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateMeasurementProtocolSecretRequest, dict]):
The request object. Request message for
UpdateMeasurementProtocolSecret RPC
measurement_protocol_secret (google.analytics.admin_v1beta.types.MeasurementProtocolSecret):
Required. The measurement protocol
secret to update.
This corresponds to the ``measurement_protocol_secret`` 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 be
updated. Omitted fields will not be
updated.
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.analytics.admin_v1beta.types.MeasurementProtocolSecret:
A secret value used for sending hits
to Measurement Protocol.
"""
# 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([measurement_protocol_secret, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateMeasurementProtocolSecretRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(
request, analytics_admin.UpdateMeasurementProtocolSecretRequest
):
request = analytics_admin.UpdateMeasurementProtocolSecretRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if measurement_protocol_secret is not None:
request.measurement_protocol_secret = measurement_protocol_secret
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_measurement_protocol_secret
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(
(
"measurement_protocol_secret.name",
request.measurement_protocol_secret.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 acknowledge_user_data_collection(
self,
request: Optional[
Union[analytics_admin.AcknowledgeUserDataCollectionRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_admin.AcknowledgeUserDataCollectionResponse:
r"""Acknowledges the terms of user data collection for
the specified property.
This acknowledgement must be completed (either in the
Google Analytics UI or through this API) before
MeasurementProtocolSecret resources may be created.
.. 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.analytics import admin_v1beta
def sample_acknowledge_user_data_collection():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.AcknowledgeUserDataCollectionRequest(
property="property_value",
acknowledgement="acknowledgement_value",
)
# Make the request
response = client.acknowledge_user_data_collection(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.AcknowledgeUserDataCollectionRequest, dict]):
The request object. Request message for
AcknowledgeUserDataCollection RPC.
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.analytics.admin_v1beta.types.AcknowledgeUserDataCollectionResponse:
Response message for
AcknowledgeUserDataCollection RPC.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.AcknowledgeUserDataCollectionRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(
request, analytics_admin.AcknowledgeUserDataCollectionRequest
):
request = analytics_admin.AcknowledgeUserDataCollectionRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.acknowledge_user_data_collection
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("property", request.property),)),
)
# 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 search_change_history_events(
self,
request: Optional[
Union[analytics_admin.SearchChangeHistoryEventsRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.SearchChangeHistoryEventsPager:
r"""Searches through all changes to an account or its
children given the specified set of filters.
.. 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.analytics import admin_v1beta
def sample_search_change_history_events():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.SearchChangeHistoryEventsRequest(
account="account_value",
)
# Make the request
page_result = client.search_change_history_events(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.SearchChangeHistoryEventsRequest, dict]):
The request object. Request message for
SearchChangeHistoryEvents RPC.
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.SearchChangeHistoryEventsPager:
Response message for SearchAccounts
RPC.
Iterating over this object will yield
results and resolve additional pages
automatically.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.SearchChangeHistoryEventsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.SearchChangeHistoryEventsRequest):
request = analytics_admin.SearchChangeHistoryEventsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.search_change_history_events
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("account", request.account),)),
)
# 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.SearchChangeHistoryEventsPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def create_conversion_event(
self,
request: Optional[
Union[analytics_admin.CreateConversionEventRequest, dict]
] = None,
*,
parent: Optional[str] = None,
conversion_event: Optional[resources.ConversionEvent] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.ConversionEvent:
r"""Creates a conversion event with the specified
attributes.
.. 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.analytics import admin_v1beta
def sample_create_conversion_event():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.CreateConversionEventRequest(
parent="parent_value",
)
# Make the request
response = client.create_conversion_event(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreateConversionEventRequest, dict]):
The request object. Request message for
CreateConversionEvent RPC
parent (str):
Required. The resource name of the
parent property where this conversion
event will be created. Format:
properties/123
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
conversion_event (google.analytics.admin_v1beta.types.ConversionEvent):
Required. The conversion event to
create.
This corresponds to the ``conversion_event`` 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.analytics.admin_v1beta.types.ConversionEvent:
A conversion event in a Google
Analytics property.
"""
# 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, conversion_event])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreateConversionEventRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.CreateConversionEventRequest):
request = analytics_admin.CreateConversionEventRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if conversion_event is not None:
request.conversion_event = conversion_event
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_conversion_event]
# 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_conversion_event(
self,
request: Optional[
Union[analytics_admin.UpdateConversionEventRequest, dict]
] = None,
*,
conversion_event: Optional[resources.ConversionEvent] = 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]] = (),
) -> resources.ConversionEvent:
r"""Updates a conversion event with the specified
attributes.
.. 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.analytics import admin_v1beta
def sample_update_conversion_event():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.UpdateConversionEventRequest(
)
# Make the request
response = client.update_conversion_event(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateConversionEventRequest, dict]):
The request object. Request message for
UpdateConversionEvent RPC
conversion_event (google.analytics.admin_v1beta.types.ConversionEvent):
Required. The conversion event to update. The ``name``
field is used to identify the settings to be updated.
This corresponds to the ``conversion_event`` 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 be updated. Field names
must be in snake case (e.g., "field_to_update"). Omitted
fields will not be updated. To replace the entire
entity, use one path with the string "*" to match all
fields.
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.analytics.admin_v1beta.types.ConversionEvent:
A conversion event in a Google
Analytics property.
"""
# 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([conversion_event, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateConversionEventRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdateConversionEventRequest):
request = analytics_admin.UpdateConversionEventRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if conversion_event is not None:
request.conversion_event = conversion_event
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_conversion_event]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("conversion_event.name", request.conversion_event.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 get_conversion_event(
self,
request: Optional[
Union[analytics_admin.GetConversionEventRequest, 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]] = (),
) -> resources.ConversionEvent:
r"""Retrieve a single conversion event.
.. 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.analytics import admin_v1beta
def sample_get_conversion_event():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetConversionEventRequest(
name="name_value",
)
# Make the request
response = client.get_conversion_event(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetConversionEventRequest, dict]):
The request object. Request message for
GetConversionEvent RPC
name (str):
Required. The resource name of the conversion event to
retrieve. Format:
properties/{property}/conversionEvents/{conversion_event}
Example: "properties/123/conversionEvents/456"
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.analytics.admin_v1beta.types.ConversionEvent:
A conversion event in a Google
Analytics property.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetConversionEventRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetConversionEventRequest):
request = analytics_admin.GetConversionEventRequest(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_conversion_event]
# 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 delete_conversion_event(
self,
request: Optional[
Union[analytics_admin.DeleteConversionEventRequest, 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 conversion event in a property.
.. 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.analytics import admin_v1beta
def sample_delete_conversion_event():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.DeleteConversionEventRequest(
name="name_value",
)
# Make the request
client.delete_conversion_event(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.DeleteConversionEventRequest, dict]):
The request object. Request message for
DeleteConversionEvent RPC
name (str):
Required. The resource name of the conversion event to
delete. Format:
properties/{property}/conversionEvents/{conversion_event}
Example: "properties/123/conversionEvents/456"
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.DeleteConversionEventRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.DeleteConversionEventRequest):
request = analytics_admin.DeleteConversionEventRequest(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_conversion_event]
# 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 list_conversion_events(
self,
request: Optional[
Union[analytics_admin.ListConversionEventsRequest, 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.ListConversionEventsPager:
r"""Returns a list of conversion events in the specified
parent property.
Returns an empty list if no conversion events are found.
.. 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.analytics import admin_v1beta
def sample_list_conversion_events():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListConversionEventsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_conversion_events(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListConversionEventsRequest, dict]):
The request object. Request message for
ListConversionEvents RPC
parent (str):
Required. The resource name of the
parent property. Example:
'properties/123'
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListConversionEventsPager:
Response message for
ListConversionEvents RPC.
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListConversionEventsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListConversionEventsRequest):
request = analytics_admin.ListConversionEventsRequest(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_conversion_events]
# 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.ListConversionEventsPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def create_custom_dimension(
self,
request: Optional[
Union[analytics_admin.CreateCustomDimensionRequest, dict]
] = None,
*,
parent: Optional[str] = None,
custom_dimension: Optional[resources.CustomDimension] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.CustomDimension:
r"""Creates a CustomDimension.
.. 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.analytics import admin_v1beta
def sample_create_custom_dimension():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
custom_dimension = admin_v1beta.CustomDimension()
custom_dimension.parameter_name = "parameter_name_value"
custom_dimension.display_name = "display_name_value"
custom_dimension.scope = "ITEM"
request = admin_v1beta.CreateCustomDimensionRequest(
parent="parent_value",
custom_dimension=custom_dimension,
)
# Make the request
response = client.create_custom_dimension(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreateCustomDimensionRequest, dict]):
The request object. Request message for
CreateCustomDimension RPC.
parent (str):
Required. Example format:
properties/1234
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
custom_dimension (google.analytics.admin_v1beta.types.CustomDimension):
Required. The CustomDimension to
create.
This corresponds to the ``custom_dimension`` 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.analytics.admin_v1beta.types.CustomDimension:
A definition for a CustomDimension.
"""
# 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, custom_dimension])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreateCustomDimensionRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.CreateCustomDimensionRequest):
request = analytics_admin.CreateCustomDimensionRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if custom_dimension is not None:
request.custom_dimension = custom_dimension
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_custom_dimension]
# 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_custom_dimension(
self,
request: Optional[
Union[analytics_admin.UpdateCustomDimensionRequest, dict]
] = None,
*,
custom_dimension: Optional[resources.CustomDimension] = 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]] = (),
) -> resources.CustomDimension:
r"""Updates a CustomDimension on a property.
.. 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.analytics import admin_v1beta
def sample_update_custom_dimension():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.UpdateCustomDimensionRequest(
)
# Make the request
response = client.update_custom_dimension(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateCustomDimensionRequest, dict]):
The request object. Request message for
UpdateCustomDimension RPC.
custom_dimension (google.analytics.admin_v1beta.types.CustomDimension):
The CustomDimension to update
This corresponds to the ``custom_dimension`` 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 be updated. Omitted
fields will not be updated. To replace the entire
entity, use one path with the string "*" to match all
fields.
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.analytics.admin_v1beta.types.CustomDimension:
A definition for a CustomDimension.
"""
# 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([custom_dimension, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateCustomDimensionRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdateCustomDimensionRequest):
request = analytics_admin.UpdateCustomDimensionRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if custom_dimension is not None:
request.custom_dimension = custom_dimension
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_custom_dimension]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("custom_dimension.name", request.custom_dimension.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_custom_dimensions(
self,
request: Optional[
Union[analytics_admin.ListCustomDimensionsRequest, 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.ListCustomDimensionsPager:
r"""Lists CustomDimensions on a property.
.. 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.analytics import admin_v1beta
def sample_list_custom_dimensions():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListCustomDimensionsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_custom_dimensions(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListCustomDimensionsRequest, dict]):
The request object. Request message for
ListCustomDimensions RPC.
parent (str):
Required. Example format:
properties/1234
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListCustomDimensionsPager:
Response message for
ListCustomDimensions RPC.
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListCustomDimensionsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListCustomDimensionsRequest):
request = analytics_admin.ListCustomDimensionsRequest(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_custom_dimensions]
# 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.ListCustomDimensionsPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def archive_custom_dimension(
self,
request: Optional[
Union[analytics_admin.ArchiveCustomDimensionRequest, 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"""Archives a CustomDimension on a property.
.. 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.analytics import admin_v1beta
def sample_archive_custom_dimension():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ArchiveCustomDimensionRequest(
name="name_value",
)
# Make the request
client.archive_custom_dimension(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.ArchiveCustomDimensionRequest, dict]):
The request object. Request message for
ArchiveCustomDimension RPC.
name (str):
Required. The name of the
CustomDimension to archive. Example
format:
properties/1234/customDimensions/5678
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ArchiveCustomDimensionRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ArchiveCustomDimensionRequest):
request = analytics_admin.ArchiveCustomDimensionRequest(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.archive_custom_dimension]
# 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 get_custom_dimension(
self,
request: Optional[
Union[analytics_admin.GetCustomDimensionRequest, 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]] = (),
) -> resources.CustomDimension:
r"""Lookup for a single CustomDimension.
.. 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.analytics import admin_v1beta
def sample_get_custom_dimension():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetCustomDimensionRequest(
name="name_value",
)
# Make the request
response = client.get_custom_dimension(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetCustomDimensionRequest, dict]):
The request object. Request message for
GetCustomDimension RPC.
name (str):
Required. The name of the
CustomDimension to get. Example format:
properties/1234/customDimensions/5678
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.analytics.admin_v1beta.types.CustomDimension:
A definition for a CustomDimension.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetCustomDimensionRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetCustomDimensionRequest):
request = analytics_admin.GetCustomDimensionRequest(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_custom_dimension]
# 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 create_custom_metric(
self,
request: Optional[
Union[analytics_admin.CreateCustomMetricRequest, dict]
] = None,
*,
parent: Optional[str] = None,
custom_metric: Optional[resources.CustomMetric] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.CustomMetric:
r"""Creates a CustomMetric.
.. 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.analytics import admin_v1beta
def sample_create_custom_metric():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
custom_metric = admin_v1beta.CustomMetric()
custom_metric.parameter_name = "parameter_name_value"
custom_metric.display_name = "display_name_value"
custom_metric.measurement_unit = "HOURS"
custom_metric.scope = "EVENT"
request = admin_v1beta.CreateCustomMetricRequest(
parent="parent_value",
custom_metric=custom_metric,
)
# Make the request
response = client.create_custom_metric(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreateCustomMetricRequest, dict]):
The request object. Request message for
CreateCustomMetric RPC.
parent (str):
Required. Example format:
properties/1234
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
custom_metric (google.analytics.admin_v1beta.types.CustomMetric):
Required. The CustomMetric to create.
This corresponds to the ``custom_metric`` 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.analytics.admin_v1beta.types.CustomMetric:
A definition for a custom metric.
"""
# 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, custom_metric])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreateCustomMetricRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.CreateCustomMetricRequest):
request = analytics_admin.CreateCustomMetricRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if custom_metric is not None:
request.custom_metric = custom_metric
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_custom_metric]
# 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_custom_metric(
self,
request: Optional[
Union[analytics_admin.UpdateCustomMetricRequest, dict]
] = None,
*,
custom_metric: Optional[resources.CustomMetric] = 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]] = (),
) -> resources.CustomMetric:
r"""Updates a CustomMetric on a property.
.. 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.analytics import admin_v1beta
def sample_update_custom_metric():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.UpdateCustomMetricRequest(
)
# Make the request
response = client.update_custom_metric(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateCustomMetricRequest, dict]):
The request object. Request message for
UpdateCustomMetric RPC.
custom_metric (google.analytics.admin_v1beta.types.CustomMetric):
The CustomMetric to update
This corresponds to the ``custom_metric`` 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 be updated. Omitted
fields will not be updated. To replace the entire
entity, use one path with the string "*" to match all
fields.
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.analytics.admin_v1beta.types.CustomMetric:
A definition for a custom metric.
"""
# 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([custom_metric, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateCustomMetricRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdateCustomMetricRequest):
request = analytics_admin.UpdateCustomMetricRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if custom_metric is not None:
request.custom_metric = custom_metric
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_custom_metric]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("custom_metric.name", request.custom_metric.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_custom_metrics(
self,
request: Optional[Union[analytics_admin.ListCustomMetricsRequest, 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.ListCustomMetricsPager:
r"""Lists CustomMetrics on a property.
.. 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.analytics import admin_v1beta
def sample_list_custom_metrics():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListCustomMetricsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_custom_metrics(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListCustomMetricsRequest, dict]):
The request object. Request message for ListCustomMetrics
RPC.
parent (str):
Required. Example format:
properties/1234
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListCustomMetricsPager:
Response message for
ListCustomMetrics RPC.
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListCustomMetricsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListCustomMetricsRequest):
request = analytics_admin.ListCustomMetricsRequest(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_custom_metrics]
# 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.ListCustomMetricsPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def archive_custom_metric(
self,
request: Optional[
Union[analytics_admin.ArchiveCustomMetricRequest, 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"""Archives a CustomMetric on a property.
.. 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.analytics import admin_v1beta
def sample_archive_custom_metric():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ArchiveCustomMetricRequest(
name="name_value",
)
# Make the request
client.archive_custom_metric(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.ArchiveCustomMetricRequest, dict]):
The request object. Request message for
ArchiveCustomMetric RPC.
name (str):
Required. The name of the
CustomMetric to archive. Example format:
properties/1234/customMetrics/5678
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ArchiveCustomMetricRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ArchiveCustomMetricRequest):
request = analytics_admin.ArchiveCustomMetricRequest(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.archive_custom_metric]
# 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 get_custom_metric(
self,
request: Optional[Union[analytics_admin.GetCustomMetricRequest, 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]] = (),
) -> resources.CustomMetric:
r"""Lookup for a single CustomMetric.
.. 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.analytics import admin_v1beta
def sample_get_custom_metric():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetCustomMetricRequest(
name="name_value",
)
# Make the request
response = client.get_custom_metric(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetCustomMetricRequest, dict]):
The request object. Request message for GetCustomMetric
RPC.
name (str):
Required. The name of the
CustomMetric to get. Example format:
properties/1234/customMetrics/5678
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.analytics.admin_v1beta.types.CustomMetric:
A definition for a custom metric.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetCustomMetricRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetCustomMetricRequest):
request = analytics_admin.GetCustomMetricRequest(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_custom_metric]
# 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 get_data_retention_settings(
self,
request: Optional[
Union[analytics_admin.GetDataRetentionSettingsRequest, 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]] = (),
) -> resources.DataRetentionSettings:
r"""Returns the singleton data retention settings for
this property.
.. 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.analytics import admin_v1beta
def sample_get_data_retention_settings():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetDataRetentionSettingsRequest(
name="name_value",
)
# Make the request
response = client.get_data_retention_settings(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetDataRetentionSettingsRequest, dict]):
The request object. Request message for
GetDataRetentionSettings RPC.
name (str):
Required. The name of the settings to
lookup. Format:
properties/{property}/dataRetentionSettings
Example:
"properties/1000/dataRetentionSettings"
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.analytics.admin_v1beta.types.DataRetentionSettings:
Settings values for data retention.
This is a singleton resource.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetDataRetentionSettingsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetDataRetentionSettingsRequest):
request = analytics_admin.GetDataRetentionSettingsRequest(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_data_retention_settings
]
# 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 update_data_retention_settings(
self,
request: Optional[
Union[analytics_admin.UpdateDataRetentionSettingsRequest, dict]
] = None,
*,
data_retention_settings: Optional[resources.DataRetentionSettings] = 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]] = (),
) -> resources.DataRetentionSettings:
r"""Updates the singleton data retention settings for
this property.
.. 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.analytics import admin_v1beta
def sample_update_data_retention_settings():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.UpdateDataRetentionSettingsRequest(
)
# Make the request
response = client.update_data_retention_settings(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateDataRetentionSettingsRequest, dict]):
The request object. Request message for
UpdateDataRetentionSettings RPC.
data_retention_settings (google.analytics.admin_v1beta.types.DataRetentionSettings):
Required. The settings to update. The ``name`` field is
used to identify the settings to be updated.
This corresponds to the ``data_retention_settings`` 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 be updated. Field names
must be in snake case (e.g., "field_to_update"). Omitted
fields will not be updated. To replace the entire
entity, use one path with the string "*" to match all
fields.
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.analytics.admin_v1beta.types.DataRetentionSettings:
Settings values for data retention.
This is a singleton resource.
"""
# 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([data_retention_settings, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateDataRetentionSettingsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdateDataRetentionSettingsRequest):
request = analytics_admin.UpdateDataRetentionSettingsRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if data_retention_settings is not None:
request.data_retention_settings = data_retention_settings
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_data_retention_settings
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(
(
"data_retention_settings.name",
request.data_retention_settings.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 create_data_stream(
self,
request: Optional[Union[analytics_admin.CreateDataStreamRequest, dict]] = None,
*,
parent: Optional[str] = None,
data_stream: Optional[resources.DataStream] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> resources.DataStream:
r"""Creates a DataStream.
.. 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.analytics import admin_v1beta
def sample_create_data_stream():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
data_stream = admin_v1beta.DataStream()
data_stream.type_ = "IOS_APP_DATA_STREAM"
request = admin_v1beta.CreateDataStreamRequest(
parent="parent_value",
data_stream=data_stream,
)
# Make the request
response = client.create_data_stream(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.CreateDataStreamRequest, dict]):
The request object. Request message for CreateDataStream
RPC.
parent (str):
Required. Example format:
properties/1234
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
data_stream (google.analytics.admin_v1beta.types.DataStream):
Required. The DataStream to create.
This corresponds to the ``data_stream`` 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.analytics.admin_v1beta.types.DataStream:
A resource message representing a
data stream.
"""
# 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, data_stream])
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.CreateDataStreamRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.CreateDataStreamRequest):
request = analytics_admin.CreateDataStreamRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if data_stream is not None:
request.data_stream = data_stream
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_data_stream]
# 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 delete_data_stream(
self,
request: Optional[Union[analytics_admin.DeleteDataStreamRequest, 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 DataStream on a property.
.. 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.analytics import admin_v1beta
def sample_delete_data_stream():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.DeleteDataStreamRequest(
name="name_value",
)
# Make the request
client.delete_data_stream(request=request)
Args:
request (Union[google.analytics.admin_v1beta.types.DeleteDataStreamRequest, dict]):
The request object. Request message for DeleteDataStream
RPC.
name (str):
Required. The name of the DataStream
to delete. Example format:
properties/1234/dataStreams/5678
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.DeleteDataStreamRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.DeleteDataStreamRequest):
request = analytics_admin.DeleteDataStreamRequest(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_data_stream]
# 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 update_data_stream(
self,
request: Optional[Union[analytics_admin.UpdateDataStreamRequest, dict]] = None,
*,
data_stream: Optional[resources.DataStream] = 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]] = (),
) -> resources.DataStream:
r"""Updates a DataStream on a property.
.. 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.analytics import admin_v1beta
def sample_update_data_stream():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.UpdateDataStreamRequest(
)
# Make the request
response = client.update_data_stream(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.UpdateDataStreamRequest, dict]):
The request object. Request message for UpdateDataStream
RPC.
data_stream (google.analytics.admin_v1beta.types.DataStream):
The DataStream to update
This corresponds to the ``data_stream`` 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 be updated. Omitted
fields will not be updated. To replace the entire
entity, use one path with the string "*" to match all
fields.
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.analytics.admin_v1beta.types.DataStream:
A resource message representing a
data stream.
"""
# 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([data_stream, 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.UpdateDataStreamRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.UpdateDataStreamRequest):
request = analytics_admin.UpdateDataStreamRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if data_stream is not None:
request.data_stream = data_stream
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_data_stream]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("data_stream.name", request.data_stream.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_data_streams(
self,
request: Optional[Union[analytics_admin.ListDataStreamsRequest, 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.ListDataStreamsPager:
r"""Lists DataStreams on a property.
.. 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.analytics import admin_v1beta
def sample_list_data_streams():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.ListDataStreamsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_data_streams(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.ListDataStreamsRequest, dict]):
The request object. Request message for ListDataStreams
RPC.
parent (str):
Required. Example format:
properties/1234
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.analytics.admin_v1beta.services.analytics_admin_service.pagers.ListDataStreamsPager:
Response message for ListDataStreams
RPC.
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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.ListDataStreamsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.ListDataStreamsRequest):
request = analytics_admin.ListDataStreamsRequest(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_data_streams]
# 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.ListDataStreamsPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_data_stream(
self,
request: Optional[Union[analytics_admin.GetDataStreamRequest, 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]] = (),
) -> resources.DataStream:
r"""Lookup for a single DataStream.
.. 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.analytics import admin_v1beta
def sample_get_data_stream():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.GetDataStreamRequest(
name="name_value",
)
# Make the request
response = client.get_data_stream(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.GetDataStreamRequest, dict]):
The request object. Request message for GetDataStream
RPC.
name (str):
Required. The name of the DataStream
to get. Example format:
properties/1234/dataStreams/5678
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.analytics.admin_v1beta.types.DataStream:
A resource message representing a
data stream.
"""
# 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."
)
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.GetDataStreamRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.GetDataStreamRequest):
request = analytics_admin.GetDataStreamRequest(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_data_stream]
# 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 run_access_report(
self,
request: Optional[Union[analytics_admin.RunAccessReportRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_admin.RunAccessReportResponse:
r"""Returns a customized report of data access records. The report
provides records of each time a user reads Google Analytics
reporting data. Access records are retained for up to 2 years.
Data Access Reports can be requested for a property. The
property must be in Google Analytics 360. This method is only
available to Administrators.
These data access records include GA4 UI Reporting, GA4 UI
Explorations, GA4 Data API, and other products like Firebase &
Admob that can retrieve data from Google Analytics through a
linkage. These records don't include property configuration
changes like adding a stream or changing a property's time zone.
For configuration change history, see
`searchChangeHistoryEvents <https://developers.google.com/analytics/devguides/config/admin/v1/rest/v1alpha/accounts/searchChangeHistoryEvents>`__.
.. 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.analytics import admin_v1beta
def sample_run_access_report():
# Create a client
client = admin_v1beta.AnalyticsAdminServiceClient()
# Initialize request argument(s)
request = admin_v1beta.RunAccessReportRequest(
)
# Make the request
response = client.run_access_report(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.admin_v1beta.types.RunAccessReportRequest, dict]):
The request object. The request for a Data Access Record
Report.
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.analytics.admin_v1beta.types.RunAccessReportResponse:
The customized Data Access Record
Report response.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_admin.RunAccessReportRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, analytics_admin.RunAccessReportRequest):
request = analytics_admin.RunAccessReportRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.run_access_report]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("entity", request.entity),)),
)
# 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
def __enter__(self) -> "AnalyticsAdminServiceClient":
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()
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=package_version.__version__
)
__all__ = ("AnalyticsAdminServiceClient",)
