Source code for airflow.providers.google.marketing_platform.operators.analytics

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"""This module contains Google Analytics 360 operators."""

from __future__ import annotations

import csv
from tempfile import NamedTemporaryFile
from typing import TYPE_CHECKING, Any, Sequence

from deprecated import deprecated

from airflow.exceptions import AirflowProviderDeprecationWarning
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.gcs import GCSHook
from airflow.providers.google.marketing_platform.hooks.analytics import GoogleAnalyticsHook

if TYPE_CHECKING:
    from airflow.utils.context import Context


@deprecated(
    reason=(
        "The `GoogleAnalyticsListAccountsOperator` class is deprecated, please use "
        "`GoogleAnalyticsAdminListAccountsOperator` instead."
    ),
    category=AirflowProviderDeprecationWarning,
)
[docs]class GoogleAnalyticsListAccountsOperator(BaseOperator): """ Lists all accounts to which the user has access. .. seealso:: This operator is deprecated, please use :class:`~airflow.providers.google.marketing_platform.operators.analytics_admin.GoogleAnalyticsAdminListAccountsOperator`: .. seealso:: Check official API docs: https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/management/accounts/list and for python client http://googleapis.github.io/google-api-python-client/docs/dyn/analytics_v3.management.accounts.html#list .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GoogleAnalyticsListAccountsOperator` :param api_version: The version of the api that will be requested for example 'v3'. :param gcp_conn_id: The connection ID to use when fetching connection info. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields: Sequence[str] = ( "api_version", "gcp_conn_id", "impersonation_chain", )
def __init__( self, *, api_version: str = "v3", gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.api_version = api_version self.gcp_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> list[dict[str, Any]]: hook = GoogleAnalyticsHook( api_version=self.api_version, gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) result = hook.list_accounts() return result
@deprecated( reason=( "The `GoogleAnalyticsGetAdsLinkOperator` class is deprecated, please use " "`GoogleAnalyticsAdminGetGoogleAdsLinkOperator` instead." ), category=AirflowProviderDeprecationWarning, )
[docs]class GoogleAnalyticsGetAdsLinkOperator(BaseOperator): """ Returns a web property-Google Ads link to which the user has access. .. seealso:: This operator is deprecated, please use :class:`~airflow.providers.google.marketing_platform.operators.analytics_admin.GoogleAnalyticsAdminGetGoogleAdsLinkOperator`: .. seealso:: Check official API docs: https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/management/webPropertyAdWordsLinks/get .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GoogleAnalyticsGetAdsLinkOperator` :param account_id: ID of the account which the given web property belongs to. :param web_property_ad_words_link_id: Web property-Google Ads link ID. :param web_property_id: Web property ID to retrieve the Google Ads link for. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields: Sequence[str] = ( "api_version", "gcp_conn_id", "account_id", "web_property_ad_words_link_id", "web_property_id", "impersonation_chain", )
def __init__( self, *, account_id: str, web_property_ad_words_link_id: str, web_property_id: str, api_version: str = "v3", gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ): super().__init__(**kwargs) self.account_id = account_id self.web_property_ad_words_link_id = web_property_ad_words_link_id self.web_property_id = web_property_id self.api_version = api_version self.gcp_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> dict[str, Any]: hook = GoogleAnalyticsHook( api_version=self.api_version, gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) result = hook.get_ad_words_link( account_id=self.account_id, web_property_id=self.web_property_id, web_property_ad_words_link_id=self.web_property_ad_words_link_id, ) return result
@deprecated( reason=( "The `GoogleAnalyticsRetrieveAdsLinksListOperator` class is deprecated, please use " "`GoogleAnalyticsAdminListGoogleAdsLinksOperator` instead." ), category=AirflowProviderDeprecationWarning, )
[docs]class GoogleAnalyticsRetrieveAdsLinksListOperator(BaseOperator): """ Lists webProperty-Google Ads links for a given web property. .. seealso:: This operator is deprecated, please use :class:`~airflow.providers.google.marketing_platform.operators.analytics_admin.GoogleAnalyticsAdminListGoogleAdsLinksOperator`: .. seealso:: Check official API docs: https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/management/webPropertyAdWordsLinks/list#http-request .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GoogleAnalyticsRetrieveAdsLinksListOperator` :param account_id: ID of the account which the given web property belongs to. :param web_property_id: Web property UA-string to retrieve the Google Ads links for. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields: Sequence[str] = ( "api_version", "gcp_conn_id", "account_id", "web_property_id", "impersonation_chain", )
def __init__( self, *, account_id: str, web_property_id: str, api_version: str = "v3", gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.account_id = account_id self.web_property_id = web_property_id self.api_version = api_version self.gcp_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> list[dict[str, Any]]: hook = GoogleAnalyticsHook( api_version=self.api_version, gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) result = hook.list_ad_words_links( account_id=self.account_id, web_property_id=self.web_property_id, ) return result
@deprecated( reason=( "The `GoogleAnalyticsDataImportUploadOperator` class is deprecated, please use " "`GoogleAnalyticsAdminCreateDataStreamOperator` instead." ), category=AirflowProviderDeprecationWarning, )
[docs]class GoogleAnalyticsDataImportUploadOperator(BaseOperator): """ Take a file from Cloud Storage and uploads it to GA via data import API. .. seealso:: This operator is deprecated, please use :class:`~airflow.providers.google.marketing_platform.operators.analytics_admin.GoogleAnalyticsAdminCreateDataStreamOperator`: :param storage_bucket: The Google cloud storage bucket where the file is stored. :param storage_name_object: The name of the object in the desired Google cloud storage bucket. (templated) If the destination points to an existing folder, the file will be taken from the specified folder. :param account_id: The GA account Id (long) to which the data upload belongs. :param web_property_id: The web property UA-string associated with the upload. :param custom_data_source_id: The id to which the data import belongs :param resumable_upload: flag to upload the file in a resumable fashion, using a series of at least two requests. :param gcp_conn_id: The connection ID to use when fetching connection info. :param delegate_to: The account to impersonate using domain-wide delegation of authority, if any. For this to work, the service account making the request must have domain-wide delegation enabled. :param api_version: The version of the api that will be requested for example 'v3'. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields: Sequence[str] = ( "storage_bucket", "storage_name_object", "impersonation_chain", )
def __init__( self, *, storage_bucket: str, storage_name_object: str, account_id: str, web_property_id: str, custom_data_source_id: str, resumable_upload: bool = False, gcp_conn_id: str = "google_cloud_default", delegate_to: str | None = None, api_version: str = "v3", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.storage_bucket = storage_bucket self.storage_name_object = storage_name_object self.account_id = account_id self.web_property_id = web_property_id self.custom_data_source_id = custom_data_source_id self.resumable_upload = resumable_upload self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.api_version = api_version self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> None: gcs_hook = GCSHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, impersonation_chain=self.impersonation_chain, ) ga_hook = GoogleAnalyticsHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) with NamedTemporaryFile("w+") as tmp_file: self.log.info( "Downloading file from GCS: %s/%s ", self.storage_bucket, self.storage_name_object, ) gcs_hook.download( bucket_name=self.storage_bucket, object_name=self.storage_name_object, filename=tmp_file.name, ) ga_hook.upload_data( tmp_file.name, self.account_id, self.web_property_id, self.custom_data_source_id, self.resumable_upload, )
@deprecated( reason=( "The `GoogleAnalyticsDeletePreviousDataUploadsOperator` class is deprecated, please use " "`GoogleAnalyticsAdminDeleteDataStreamOperator` instead." ), category=AirflowProviderDeprecationWarning, )
[docs]class GoogleAnalyticsDeletePreviousDataUploadsOperator(BaseOperator): """ Deletes previous GA uploads to leave the latest file to control the size of the Data Set Quota. .. seealso:: This operator is deprecated, please use :class:`~airflow.providers.google.marketing_platform.operators.analytics_admin.GoogleAnalyticsAdminDeleteDataStreamOperator`: :param account_id: The GA account Id (long) to which the data upload belongs. :param web_property_id: The web property UA-string associated with the upload. :param custom_data_source_id: The id to which the data import belongs. :param gcp_conn_id: The connection ID to use when fetching connection info. :param delegate_to: The account to impersonate using domain-wide delegation of authority, if any. For this to work, the service account making the request must have domain-wide delegation enabled. :param api_version: The version of the api that will be requested for example 'v3'. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields: Sequence[str] = ("impersonation_chain",)
def __init__( self, account_id: str, web_property_id: str, custom_data_source_id: str, gcp_conn_id: str = "google_cloud_default", delegate_to: str | None = None, api_version: str = "v3", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.account_id = account_id self.web_property_id = web_property_id self.custom_data_source_id = custom_data_source_id self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.api_version = api_version self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> None: ga_hook = GoogleAnalyticsHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) uploads = ga_hook.list_uploads( account_id=self.account_id, web_property_id=self.web_property_id, custom_data_source_id=self.custom_data_source_id, ) cids = [upload["id"] for upload in uploads] delete_request_body = {"customDataImportUids": cids} ga_hook.delete_upload_data( self.account_id, self.web_property_id, self.custom_data_source_id, delete_request_body, )
[docs]class GoogleAnalyticsModifyFileHeadersDataImportOperator(BaseOperator): """ GA has a very particular naming convention for Data Import. Ability to prefix "ga:" to all column headers and also a dict to rename columns to match the custom dimension ID in GA i.e clientId : dimensionX. :param storage_bucket: The Google cloud storage bucket where the file is stored. :param storage_name_object: The name of the object in the desired Google cloud storage bucket. (templated) If the destination points to an existing folder, the file will be taken from the specified folder. :param gcp_conn_id: The connection ID to use when fetching connection info. :param custom_dimension_header_mapping: Dictionary to handle when uploading custom dimensions which have generic IDs ie. 'dimensionX' which are set by GA. Dictionary maps the current CSV header to GA ID which will be the new header for the CSV to upload to GA eg clientId : dimension1. :param delegate_to: The account to impersonate using domain-wide delegation of authority, if any. For this to work, the service account making the request must have domain-wide delegation enabled. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields: Sequence[str] = ( "storage_bucket", "storage_name_object", "impersonation_chain", )
def __init__( self, storage_bucket: str, storage_name_object: str, gcp_conn_id: str = "google_cloud_default", delegate_to: str | None = None, custom_dimension_header_mapping: dict[str, str] | None = None, impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.storage_bucket = storage_bucket self.storage_name_object = storage_name_object self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.custom_dimension_header_mapping = custom_dimension_header_mapping or {} self.impersonation_chain = impersonation_chain def _modify_column_headers( self, tmp_file_location: str, custom_dimension_header_mapping: dict[str, str] ) -> None: # Check headers self.log.info("Checking if file contains headers") with open(tmp_file_location) as check_header_file: has_header = csv.Sniffer().has_header(check_header_file.read(1024)) if not has_header: raise NameError( "CSV does not contain headers, please add them " "to use the modify column headers functionality" ) # Transform self.log.info("Modifying column headers to be compatible for data upload") with open(tmp_file_location) as read_file: reader = csv.reader(read_file) headers = next(reader) new_headers = [] for header in headers: if header in custom_dimension_header_mapping: header = custom_dimension_header_mapping.get(header) # type: ignore new_header = f"ga:{header}" new_headers.append(new_header) all_data = read_file.readlines() final_headers = ",".join(new_headers) + "\n" all_data.insert(0, final_headers) # Save result self.log.info("Saving transformed file") with open(tmp_file_location, "w") as write_file: write_file.writelines(all_data)
[docs] def execute(self, context: Context) -> None: gcs_hook = GCSHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, impersonation_chain=self.impersonation_chain, ) with NamedTemporaryFile("w+") as tmp_file: # Download file from GCS self.log.info( "Downloading file from GCS: %s/%s ", self.storage_bucket, self.storage_name_object, ) gcs_hook.download( bucket_name=self.storage_bucket, object_name=self.storage_name_object, filename=tmp_file.name, ) # Modify file self.log.info("Modifying temporary file %s", tmp_file.name) self._modify_column_headers( tmp_file_location=tmp_file.name, custom_dimension_header_mapping=self.custom_dimension_header_mapping, ) # Upload newly formatted file to cloud storage self.log.info( "Uploading file to GCS: %s/%s ", self.storage_bucket, self.storage_name_object, ) gcs_hook.upload( bucket_name=self.storage_bucket, object_name=self.storage_name_object, filename=tmp_file.name, )

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