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.data_v1beta.services.beta_analytics_data.client
# -*- coding: utf-8 -*-
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from collections import OrderedDict
import os
import re
from typing import (
Callable,
Dict,
Mapping,
MutableMapping,
MutableSequence,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
import warnings
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials # type: ignore
from google.auth.exceptions import MutualTLSChannelError # type: ignore
from google.auth.transport import mtls # type: ignore
from google.auth.transport.grpc import SslCredentials # type: ignore
from google.oauth2 import service_account # type: ignore
from google.analytics.data_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.api_core import operation # type: ignore
from google.api_core import operation_async # type: ignore
from google.longrunning import operations_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.analytics.data_v1beta.services.beta_analytics_data import pagers
from google.analytics.data_v1beta.types import analytics_data_api, data
from .transports.base import DEFAULT_CLIENT_INFO, BetaAnalyticsDataTransport
from .transports.grpc import BetaAnalyticsDataGrpcTransport
from .transports.grpc_asyncio import BetaAnalyticsDataGrpcAsyncIOTransport
from .transports.rest import BetaAnalyticsDataRestTransport
class BetaAnalyticsDataClientMeta(type):
"""Metaclass for the BetaAnalyticsData 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[BetaAnalyticsDataTransport]]
_transport_registry["grpc"] = BetaAnalyticsDataGrpcTransport
_transport_registry["grpc_asyncio"] = BetaAnalyticsDataGrpcAsyncIOTransport
_transport_registry["rest"] = BetaAnalyticsDataRestTransport
def get_transport_class(
cls,
label: Optional[str] = None,
) -> Type[BetaAnalyticsDataTransport]:
"""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 BetaAnalyticsDataClient(metaclass=BetaAnalyticsDataClientMeta):
"""Google Analytics reporting data service."""
@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 = "analyticsdata.googleapis.com"
DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore
DEFAULT_ENDPOINT
)
_DEFAULT_ENDPOINT_TEMPLATE = "analyticsdata.{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:
BetaAnalyticsDataClient: 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:
BetaAnalyticsDataClient: 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) -> BetaAnalyticsDataTransport:
"""Returns the transport used by the client instance.
Returns:
BetaAnalyticsDataTransport: The transport used by the client
instance.
"""
return self._transport
[docs] @staticmethod
def audience_export_path(
property: str,
audience_export: str,
) -> str:
"""Returns a fully-qualified audience_export string."""
return "properties/{property}/audienceExports/{audience_export}".format(
property=property,
audience_export=audience_export,
)
[docs] @staticmethod
def parse_audience_export_path(path: str) -> Dict[str, str]:
"""Parses a audience_export path into its component segments."""
m = re.match(
r"^properties/(?P<property>.+?)/audienceExports/(?P<audience_export>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def metadata_path(
property: str,
) -> str:
"""Returns a fully-qualified metadata string."""
return "properties/{property}/metadata".format(
property=property,
)
[docs] @staticmethod
def parse_metadata_path(path: str) -> Dict[str, str]:
"""Parses a metadata path into its component segments."""
m = re.match(r"^properties/(?P<property>.+?)/metadata$", 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 = BetaAnalyticsDataClient._DEFAULT_UNIVERSE
if universe_domain != _default_universe:
raise MutualTLSChannelError(
f"mTLS is not supported in any universe other than {_default_universe}."
)
api_endpoint = BetaAnalyticsDataClient.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = BetaAnalyticsDataClient._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 = BetaAnalyticsDataClient._DEFAULT_UNIVERSE
if client_universe_domain is not None:
universe_domain = client_universe_domain
elif universe_domain_env is not None:
universe_domain = universe_domain_env
if len(universe_domain.strip()) == 0:
raise ValueError("Universe Domain cannot be an empty string.")
return universe_domain
def _validate_universe_domain(self):
"""Validates client's and credentials' universe domains are consistent.
Returns:
bool: True iff the configured universe domain is valid.
Raises:
ValueError: If the configured universe domain is not valid.
"""
# NOTE (b/349488459): universe validation is disabled until further notice.
return True
@property
def api_endpoint(self):
"""Return the API endpoint used by the client instance.
Returns:
str: The API endpoint used by the client instance.
"""
return self._api_endpoint
@property
def universe_domain(self) -> str:
"""Return the universe domain used by the client instance.
Returns:
str: The universe domain used by the client instance.
"""
return self._universe_domain
def __init__(
self,
*,
credentials: Optional[ga_credentials.Credentials] = None,
transport: Optional[
Union[
str,
BetaAnalyticsDataTransport,
Callable[..., BetaAnalyticsDataTransport],
]
] = None,
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the beta analytics data client.
Args:
credentials (Optional[google.auth.credentials.Credentials]): The
authorization credentials to attach to requests. These
credentials identify the application to the service; if none
are specified, the client will attempt to ascertain the
credentials from the environment.
transport (Optional[Union[str,BetaAnalyticsDataTransport,Callable[..., BetaAnalyticsDataTransport]]]):
The transport to use, or a Callable that constructs and returns a new transport.
If a Callable is given, it will be called with the same set of initialization
arguments as used in the BetaAnalyticsDataTransport constructor.
If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
Custom options for the client.
1. The ``api_endpoint`` property can be used to override the
default endpoint provided by the client when ``transport`` is
not explicitly provided. Only if this property is not set and
``transport`` was not explicitly provided, the endpoint is
determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
variable, which have one of the following values:
"always" (always use the default mTLS endpoint), "never" (always
use the default regular endpoint) and "auto" (auto-switch to the
default mTLS endpoint if client certificate is present; this is
the default value).
2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
is "true", then the ``client_cert_source`` property can be used
to provide a client certificate for mTLS transport. If
not provided, the default SSL client certificate will be used if
present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
set, no client certificate will be used.
3. The ``universe_domain`` property can be used to override the
default "googleapis.com" universe. Note that the ``api_endpoint``
property still takes precedence; and ``universe_domain`` is
currently not supported for mTLS.
client_info (google.api_core.gapic_v1.client_info.ClientInfo):
The client info used to send a user-agent string along with
API requests. If ``None``, then default info will be used.
Generally, you only need to set this if you're developing
your own client library.
Raises:
google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
creation failed for any reason.
"""
self._client_options = client_options
if isinstance(self._client_options, dict):
self._client_options = client_options_lib.from_dict(self._client_options)
if self._client_options is None:
self._client_options = client_options_lib.ClientOptions()
self._client_options = cast(
client_options_lib.ClientOptions, self._client_options
)
universe_domain_opt = getattr(self._client_options, "universe_domain", None)
(
self._use_client_cert,
self._use_mtls_endpoint,
self._universe_domain_env,
) = BetaAnalyticsDataClient._read_environment_variables()
self._client_cert_source = BetaAnalyticsDataClient._get_client_cert_source(
self._client_options.client_cert_source, self._use_client_cert
)
self._universe_domain = BetaAnalyticsDataClient._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, BetaAnalyticsDataTransport)
if transport_provided:
# transport is a BetaAnalyticsDataTransport 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(BetaAnalyticsDataTransport, transport)
self._api_endpoint = self._transport.host
self._api_endpoint = (
self._api_endpoint
or BetaAnalyticsDataClient._get_api_endpoint(
self._client_options.api_endpoint,
self._client_cert_source,
self._universe_domain,
self._use_mtls_endpoint,
)
)
if not transport_provided:
import google.auth._default # type: ignore
if api_key_value and hasattr(
google.auth._default, "get_api_key_credentials"
):
credentials = google.auth._default.get_api_key_credentials(
api_key_value
)
transport_init: Union[
Type[BetaAnalyticsDataTransport],
Callable[..., BetaAnalyticsDataTransport],
] = (
BetaAnalyticsDataClient.get_transport_class(transport)
if isinstance(transport, str) or transport is None
else cast(Callable[..., BetaAnalyticsDataTransport], transport)
)
# initialize with the provided callable or the passed in class
self._transport = transport_init(
credentials=credentials,
credentials_file=self._client_options.credentials_file,
host=self._api_endpoint,
scopes=self._client_options.scopes,
client_cert_source_for_mtls=self._client_cert_source,
quota_project_id=self._client_options.quota_project_id,
client_info=client_info,
always_use_jwt_access=True,
api_audience=self._client_options.api_audience,
)
[docs] def run_report(
self,
request: Optional[Union[analytics_data_api.RunReportRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.RunReportResponse:
r"""Returns a customized report of your Google Analytics event data.
Reports contain statistics derived from data collected by the
Google Analytics tracking code. The data returned from the API
is as a table with columns for the requested dimensions and
metrics. Metrics are individual measurements of user activity on
your property, such as active users or event count. Dimensions
break down metrics across some common criteria, such as country
or event name.
For a guide to constructing requests & understanding responses,
see `Creating a
Report <https://developers.google.com/analytics/devguides/reporting/data/v1/basics>`__.
.. 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 data_v1beta
def sample_run_report():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.RunReportRequest(
)
# Make the request
response = client.run_report(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.RunReportRequest, dict]):
The request object. The request to generate a 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.data_v1beta.types.RunReportResponse:
The response report table
corresponding to a request.
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.RunReportRequest):
request = analytics_data_api.RunReportRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.run_report]
# 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 run_pivot_report(
self,
request: Optional[Union[analytics_data_api.RunPivotReportRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.RunPivotReportResponse:
r"""Returns a customized pivot report of your Google
Analytics event data. Pivot reports are more advanced
and expressive formats than regular reports. In a pivot
report, dimensions are only visible if they are included
in a pivot. Multiple pivots can be specified to further
dissect your data.
.. 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 data_v1beta
def sample_run_pivot_report():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.RunPivotReportRequest(
)
# Make the request
response = client.run_pivot_report(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.RunPivotReportRequest, dict]):
The request object. The request to generate a pivot
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.data_v1beta.types.RunPivotReportResponse:
The response pivot report table
corresponding to a pivot request.
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.RunPivotReportRequest):
request = analytics_data_api.RunPivotReportRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.run_pivot_report]
# 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 batch_run_reports(
self,
request: Optional[
Union[analytics_data_api.BatchRunReportsRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.BatchRunReportsResponse:
r"""Returns multiple reports in a batch. All reports must
be for the same 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 data_v1beta
def sample_batch_run_reports():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.BatchRunReportsRequest(
)
# Make the request
response = client.batch_run_reports(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.BatchRunReportsRequest, dict]):
The request object. The batch request containing multiple
report requests.
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.data_v1beta.types.BatchRunReportsResponse:
The batch response containing
multiple reports.
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.BatchRunReportsRequest):
request = analytics_data_api.BatchRunReportsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.batch_run_reports]
# 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 batch_run_pivot_reports(
self,
request: Optional[
Union[analytics_data_api.BatchRunPivotReportsRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.BatchRunPivotReportsResponse:
r"""Returns multiple pivot reports in a batch. All
reports must be for the same 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 data_v1beta
def sample_batch_run_pivot_reports():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.BatchRunPivotReportsRequest(
)
# Make the request
response = client.batch_run_pivot_reports(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.BatchRunPivotReportsRequest, dict]):
The request object. The batch request containing multiple
pivot report requests.
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.data_v1beta.types.BatchRunPivotReportsResponse:
The batch response containing
multiple pivot reports.
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.BatchRunPivotReportsRequest):
request = analytics_data_api.BatchRunPivotReportsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.batch_run_pivot_reports]
# 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 get_metadata(
self,
request: Optional[Union[analytics_data_api.GetMetadataRequest, 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]] = (),
) -> analytics_data_api.Metadata:
r"""Returns metadata for dimensions and metrics available in
reporting methods. Used to explore the dimensions and metrics.
In this method, a Google Analytics GA4 Property Identifier is
specified in the request, and the metadata response includes
Custom dimensions and metrics as well as Universal metadata.
For example if a custom metric with parameter name
``levels_unlocked`` is registered to a property, the Metadata
response will contain ``customEvent:levels_unlocked``. Universal
metadata are dimensions and metrics applicable to any property
such as ``country`` and ``totalUsers``.
.. 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 data_v1beta
def sample_get_metadata():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.GetMetadataRequest(
name="name_value",
)
# Make the request
response = client.get_metadata(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.GetMetadataRequest, dict]):
The request object. Request for a property's dimension
and metric metadata.
name (str):
Required. The resource name of the metadata to retrieve.
This name field is specified in the URL path and not URL
parameters. Property is a numeric Google Analytics GA4
Property identifier. To learn more, see `where to find
your Property
ID <https://developers.google.com/analytics/devguides/reporting/data/v1/property-id>`__.
Example: properties/1234/metadata
Set the Property ID to 0 for dimensions and metrics
common to all properties. In this special mode, this
method will not return custom dimensions and metrics.
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.data_v1beta.types.Metadata:
The dimensions, metrics and
comparisons currently accepted in
reporting methods.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.GetMetadataRequest):
request = analytics_data_api.GetMetadataRequest(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_metadata]
# 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_realtime_report(
self,
request: Optional[
Union[analytics_data_api.RunRealtimeReportRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.RunRealtimeReportResponse:
r"""Returns a customized report of realtime event data for your
property. Events appear in realtime reports seconds after they
have been sent to the Google Analytics. Realtime reports show
events and usage data for the periods of time ranging from the
present moment to 30 minutes ago (up to 60 minutes for Google
Analytics 360 properties).
For a guide to constructing realtime requests & understanding
responses, see `Creating a Realtime
Report <https://developers.google.com/analytics/devguides/reporting/data/v1/realtime-basics>`__.
.. 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 data_v1beta
def sample_run_realtime_report():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.RunRealtimeReportRequest(
)
# Make the request
response = client.run_realtime_report(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.RunRealtimeReportRequest, dict]):
The request object. The request to generate a realtime
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.data_v1beta.types.RunRealtimeReportResponse:
The response realtime report table
corresponding to a request.
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.RunRealtimeReportRequest):
request = analytics_data_api.RunRealtimeReportRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.run_realtime_report]
# 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 check_compatibility(
self,
request: Optional[
Union[analytics_data_api.CheckCompatibilityRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.CheckCompatibilityResponse:
r"""This compatibility method lists dimensions and
metrics that can be added to a report request and
maintain compatibility. This method fails if the
request's dimensions and metrics are incompatible.
In Google Analytics, reports fail if they request
incompatible dimensions and/or metrics; in that case,
you will need to remove dimensions and/or metrics from
the incompatible report until the report is compatible.
The Realtime and Core reports have different
compatibility rules. This method checks compatibility
for Core reports.
.. 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 data_v1beta
def sample_check_compatibility():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.CheckCompatibilityRequest(
)
# Make the request
response = client.check_compatibility(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.CheckCompatibilityRequest, dict]):
The request object. The request for compatibility information for a report's
dimensions and metrics. Check compatibility provides a
preview of the compatibility of a report; fields shared
with the ``runReport`` request should be the same values
as in your ``runReport`` request.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.analytics.data_v1beta.types.CheckCompatibilityResponse:
The compatibility response with the
compatibility of each dimension &
metric.
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.CheckCompatibilityRequest):
request = analytics_data_api.CheckCompatibilityRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.check_compatibility]
# 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 create_audience_export(
self,
request: Optional[
Union[analytics_data_api.CreateAudienceExportRequest, dict]
] = None,
*,
parent: Optional[str] = None,
audience_export: Optional[analytics_data_api.AudienceExport] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""Creates an audience export for later retrieval. This method
quickly returns the audience export's resource name and
initiates a long running asynchronous request to form an
audience export. To export the users in an audience export,
first create the audience export through this method and then
send the audience resource name to the ``QueryAudienceExport``
method.
See `Creating an Audience
Export <https://developers.google.com/analytics/devguides/reporting/data/v1/audience-list-basics>`__
for an introduction to Audience Exports with examples.
An audience export is a snapshot of the users currently in the
audience at the time of audience export creation. Creating
audience exports for one audience on different days will return
different results as users enter and exit the audience.
Audiences in Google Analytics 4 allow you to segment your users
in the ways that are important to your business. To learn more,
see https://support.google.com/analytics/answer/9267572.
Audience exports contain the users in each audience.
Audience Export APIs have some methods at alpha and other
methods at beta stability. The intention is to advance methods
to beta stability after some feedback and adoption. To give your
feedback on this API, complete the `Google Analytics Audience
Export API Feedback <https://forms.gle/EeA5u5LW6PEggtCEA>`__
form.
.. 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 data_v1beta
def sample_create_audience_export():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
audience_export = data_v1beta.AudienceExport()
audience_export.audience = "audience_value"
request = data_v1beta.CreateAudienceExportRequest(
parent="parent_value",
audience_export=audience_export,
)
# Make the request
operation = client.create_audience_export(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.CreateAudienceExportRequest, dict]):
The request object. A request to create a new audience
export.
parent (str):
Required. The parent resource where this audience export
will be created. Format: ``properties/{property}``
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
audience_export (google.analytics.data_v1beta.types.AudienceExport):
Required. The audience export to
create.
This corresponds to the ``audience_export`` 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.api_core.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.analytics.data_v1beta.types.AudienceExport` An audience export is a list of users in an audience at the time of the
list's creation. One audience may have multiple
audience exports created for different days.
"""
# 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, audience_export])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.CreateAudienceExportRequest):
request = analytics_data_api.CreateAudienceExportRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if audience_export is not None:
request.audience_export = audience_export
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_audience_export]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = operation.from_gapic(
response,
self._transport.operations_client,
analytics_data_api.AudienceExport,
metadata_type=analytics_data_api.AudienceExportMetadata,
)
# Done; return the response.
return response
[docs] def query_audience_export(
self,
request: Optional[
Union[analytics_data_api.QueryAudienceExportRequest, 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]] = (),
) -> analytics_data_api.QueryAudienceExportResponse:
r"""Retrieves an audience export of users. After creating an
audience, the users are not immediately available for exporting.
First, a request to ``CreateAudienceExport`` is necessary to
create an audience export of users, and then second, this method
is used to retrieve the users in the audience export.
See `Creating an Audience
Export <https://developers.google.com/analytics/devguides/reporting/data/v1/audience-list-basics>`__
for an introduction to Audience Exports with examples.
Audiences in Google Analytics 4 allow you to segment your users
in the ways that are important to your business. To learn more,
see https://support.google.com/analytics/answer/9267572.
Audience Export APIs have some methods at alpha and other
methods at beta stability. The intention is to advance methods
to beta stability after some feedback and adoption. To give your
feedback on this API, complete the `Google Analytics Audience
Export API Feedback <https://forms.gle/EeA5u5LW6PEggtCEA>`__
form.
.. 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 data_v1beta
def sample_query_audience_export():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.QueryAudienceExportRequest(
name="name_value",
)
# Make the request
response = client.query_audience_export(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.QueryAudienceExportRequest, dict]):
The request object. A request to list users in an
audience export.
name (str):
Required. The name of the audience export to retrieve
users from. Format:
``properties/{property}/audienceExports/{audience_export}``
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.data_v1beta.types.QueryAudienceExportResponse:
A list of users in an audience
export.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.QueryAudienceExportRequest):
request = analytics_data_api.QueryAudienceExportRequest(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.query_audience_export]
# 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_audience_export(
self,
request: Optional[
Union[analytics_data_api.GetAudienceExportRequest, 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]] = (),
) -> analytics_data_api.AudienceExport:
r"""Gets configuration metadata about a specific audience export.
This method can be used to understand an audience export after
it has been created.
See `Creating an Audience
Export <https://developers.google.com/analytics/devguides/reporting/data/v1/audience-list-basics>`__
for an introduction to Audience Exports with examples.
Audience Export APIs have some methods at alpha and other
methods at beta stability. The intention is to advance methods
to beta stability after some feedback and adoption. To give your
feedback on this API, complete the `Google Analytics Audience
Export API Feedback <https://forms.gle/EeA5u5LW6PEggtCEA>`__
form.
.. 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 data_v1beta
def sample_get_audience_export():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.GetAudienceExportRequest(
name="name_value",
)
# Make the request
response = client.get_audience_export(request=request)
# Handle the response
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.GetAudienceExportRequest, dict]):
The request object. A request to retrieve configuration
metadata about a specific audience
export.
name (str):
Required. The audience export resource name. Format:
``properties/{property}/audienceExports/{audience_export}``
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.data_v1beta.types.AudienceExport:
An audience export is a list of users
in an audience at the time of the list's
creation. One audience may have multiple
audience exports created for different
days.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.GetAudienceExportRequest):
request = analytics_data_api.GetAudienceExportRequest(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_audience_export]
# 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_audience_exports(
self,
request: Optional[
Union[analytics_data_api.ListAudienceExportsRequest, 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.ListAudienceExportsPager:
r"""Lists all audience exports for a property. This method can be
used for you to find and reuse existing audience exports rather
than creating unnecessary new audience exports. The same
audience can have multiple audience exports that represent the
export of users that were in an audience on different days.
See `Creating an Audience
Export <https://developers.google.com/analytics/devguides/reporting/data/v1/audience-list-basics>`__
for an introduction to Audience Exports with examples.
Audience Export APIs have some methods at alpha and other
methods at beta stability. The intention is to advance methods
to beta stability after some feedback and adoption. To give your
feedback on this API, complete the `Google Analytics Audience
Export API Feedback <https://forms.gle/EeA5u5LW6PEggtCEA>`__
form.
.. 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 data_v1beta
def sample_list_audience_exports():
# Create a client
client = data_v1beta.BetaAnalyticsDataClient()
# Initialize request argument(s)
request = data_v1beta.ListAudienceExportsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_audience_exports(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.analytics.data_v1beta.types.ListAudienceExportsRequest, dict]):
The request object. A request to list all audience
exports for a property.
parent (str):
Required. All audience exports for this property will be
listed in the response. Format:
``properties/{property}``
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.data_v1beta.services.beta_analytics_data.pagers.ListAudienceExportsPager:
A list of all audience exports for a
property.
Iterating over this object will yield
results and resolve additional pages
automatically.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, analytics_data_api.ListAudienceExportsRequest):
request = analytics_data_api.ListAudienceExportsRequest(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_audience_exports]
# 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.ListAudienceExportsPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
def __enter__(self) -> "BetaAnalyticsDataClient":
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__ = ("BetaAnalyticsDataClient",)
