#!/usr/bin/env python
# Copyright 2020 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
#
# https://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.
"""This example uploads offline conversion data for store sales transactions.
This feature is only available to allowlisted accounts.
See https://support.google.com/google-ads/answer/7620302 for more details.
"""
import argparse
from datetime import datetime
import hashlib
import sys
from typing import List, Optional, Tuple
from google.protobuf.any_pb2 import Any
from google.rpc import status_pb2
from google.ads.googleads.client import GoogleAdsClient
from google.ads.googleads.errors import GoogleAdsException
from google.ads.googleads.v22.common.types.offline_user_data import (
ItemAttribute,
StoreSalesMetadata,
StoreSalesThirdPartyMetadata,
UserData,
UserIdentifier,
)
from google.ads.googleads.v22.enums.types.offline_user_data_job_status import (
OfflineUserDataJobStatusEnum,
)
from google.ads.googleads.v22.enums.types.offline_user_data_job_type import (
OfflineUserDataJobTypeEnum,
)
from google.ads.googleads.v22.errors.types.errors import (
GoogleAdsError,
GoogleAdsFailure,
)
from google.ads.googleads.v22.resources.types.offline_user_data_job import (
OfflineUserDataJob,
)
from google.ads.googleads.v22.services.services.google_ads_service import (
GoogleAdsServiceClient,
)
from google.ads.googleads.v22.services.services.offline_user_data_job_service import (
OfflineUserDataJobServiceClient,
)
from google.ads.googleads.v22.services.types.google_ads_service import (
GoogleAdsRow,
)
from google.ads.googleads.v22.services.types.offline_user_data_job_service import (
AddOfflineUserDataJobOperationsRequest,
AddOfflineUserDataJobOperationsResponse,
CreateOfflineUserDataJobResponse,
OfflineUserDataJobOperation,
)
def main(
client: GoogleAdsClient,
customer_id: str,
conversion_action_id: int,
offline_user_data_job_type: int,
external_id: Optional[int],
advertiser_upload_date_time: Optional[str],
bridge_map_version_id: Optional[str],
partner_id: Optional[int],
custom_key: Optional[str],
custom_value: Optional[str],
item_id: Optional[str],
merchant_center_account_id: Optional[int],
country_code: Optional[str],
language_code: Optional[str],
quantity: int,
ad_user_data_consent: Optional[str],
ad_personalization_consent: Optional[str],
) -> None:
"""Uploads offline conversion data for store sales transactions.
Args:
client: An initialized Google Ads client.
customer_id: The Google Ads customer ID.
conversion_action_id: The ID of a store sales conversion action.
offline_user_data_job_type: Optional type of offline user data in the
job (first party or third party). If you have an official store
sales partnership with Google, use STORE_SALES_UPLOAD_THIRD_PARTY.
Otherwise, use STORE_SALES_UPLOAD_FIRST_PARTY.
external_id: Optional, but recommended, external ID for the offline
user data job.
advertiser_upload_date_time: Optional date and time the advertiser
uploaded data to the partner. Only required for third party uploads.
The format is 'yyyy-mm-dd hh:mm:ss+|-hh:mm', e.g.
'2019-01-01 12:32:45-08:00'.
bridge_map_version_id: Optional version of partner IDs to be used for
uploads. Only required for third party uploads.
partner_id: Optional ID of the third party partner. Only required for
third party uploads.
custom_key: A custom key str to segment store sales conversions. Only
required after creating a custom key and custom values in the
account.
custom_value: A custom value str to segment store sales conversions.
Only required after creating a custom key and custom values in the
account.
item_id: Optional str ID of the product. Either the Merchant Center Item
ID or the Global Trade Item Number (GTIN). Only required if
uploading with item attributes.
merchant_center_account_id: Optional Merchant Center Account ID. Only
required if uploading with item attributes.
country_code: Optional two-letter country code of the location associated
with the feed where your items are uploaded. Only required if
uploading with item attributes.
language_code: Optional two-letter country code of the language
associated with the feed where your items are uploaded. Only
required if uploading with item attributes.
quantity: Optional number of items sold. Only required if uploading with
item attributes.
ad_user_data_consent: The consent status for ad user data for all
members in the job.
ad_personalization_consent: The personalization consent status for ad
user data for all members in the job.
"""
# Get the OfflineUserDataJobService client.
offline_user_data_job_service: OfflineUserDataJobServiceClient = (
client.get_service("OfflineUserDataJobService")
)
# Create an offline user data job for uploading transactions.
offline_user_data_job_resource_name: str = create_offline_user_data_job(
client,
offline_user_data_job_service,
customer_id,
offline_user_data_job_type,
external_id,
advertiser_upload_date_time,
bridge_map_version_id,
partner_id,
custom_key,
)
# Add transactions to the job.
add_transactions_to_offline_user_data_job(
client,
offline_user_data_job_service,
customer_id,
offline_user_data_job_resource_name,
conversion_action_id,
custom_value,
item_id,
merchant_center_account_id,
country_code,
language_code,
quantity,
ad_user_data_consent,
ad_personalization_consent,
)
# Issue an asynchronous request to run the offline user data job.
offline_user_data_job_service.run_offline_user_data_job(
resource_name=offline_user_data_job_resource_name
)
# Offline user data jobs may take up to 24 hours to complete, so
# instead of waiting for the job to complete, retrieves and displays
# the job status once and then prints the query to use to check the job
# again later.
check_job_status(client, customer_id, offline_user_data_job_resource_name)
def create_offline_user_data_job(
client: GoogleAdsClient,
offline_user_data_job_service: OfflineUserDataJobServiceClient,
customer_id: str,
offline_user_data_job_type: int,
external_id: Optional[int],
advertiser_upload_date_time: Optional[str],
bridge_map_version_id: Optional[str],
partner_id: Optional[int],
custom_key: Optional[str],
) -> str:
"""Creates an offline user data job for uploading store sales transactions.
Args:
client: An initialized Google Ads API client.
offline_user_data_job_service: The offline user data job service client.
customer_id: The Google Ads customer ID.
offline_user_data_job_type: Optional type of offline user data in the
job (first party or third party).
external_id: Optional external ID for the offline user data job.
advertiser_upload_date_time: Optional date and time the advertiser
uploaded data to the partner. Only required for third party uploads.
bridge_map_version_id: Optional version of partner IDs to be used for
uploads. Only required for third party uploads.
partner_id: Optional ID of the third party partner. Only required for
third party uploads.
custom_key: A custom key str to segment store sales conversions. Only
required after creating a custom key and custom values in the
account.
Returns:
The string resource name of the created job.
"""
# TIP: If you are migrating from the AdWords API, please note that Google
# Ads API uses the term "fraction" instead of "rate". For example,
# loyalty_rate in the AdWords API is called loyalty_fraction in the Google
# Ads API.
# Create a new offline user data job.
offline_user_data_job: OfflineUserDataJob = client.get_type(
"OfflineUserDataJob"
)
offline_user_data_job.type_ = offline_user_data_job_type
if external_id is not None:
offline_user_data_job.external_id = external_id
# Please refer to https://support.google.com/google-ads/answer/7506124 for
# additional details.
store_sales_metadata: StoreSalesMetadata = (
offline_user_data_job.store_sales_metadata
)
# Set the fraction of your overall sales that you (or the advertiser,
# in the third party case) can associate with a customer (email, phone
# number, address, etc.) in your database or loyalty program.
# For example, set this to 0.7 if you have 100 transactions over 30
# days, and out of those 100 transactions, you can identify 70 by an
# email address or phone number.
store_sales_metadata.loyalty_fraction = 0.7
# Set the fraction of sales you're uploading out of the overall sales
# that you (or the advertiser, in the third party case) can associate
# with a customer. In most cases, you will set this to 1.0.
# Continuing the example above for loyalty fraction, a value of 1.0 here
# indicates that you are uploading all 70 of the transactions that can
# be identified by an email address or phone number.
store_sales_metadata.transaction_upload_fraction = 1.0
if custom_key:
store_sales_metadata.custom_key = custom_key
if (
offline_user_data_job_type
== client.enums.OfflineUserDataJobTypeEnum.STORE_SALES_UPLOAD_THIRD_PARTY
):
# Create additional metadata required for uploading third party data.
store_sales_third_party_metadata: StoreSalesThirdPartyMetadata = (
store_sales_metadata.third_party_metadata
)
# The date/time must be in the format "yyyy-MM-dd hh:mm:ss".
store_sales_third_party_metadata.advertiser_upload_date_time = (
advertiser_upload_date_time
)
# Set the fraction of transactions you received from the advertiser
# that have valid formatting and values. This captures any transactions
# the advertiser provided to you but which you are unable to upload to
# Google due to formatting errors or missing data.
# In most cases, you will set this to 1.0.
store_sales_third_party_metadata.valid_transaction_fraction = 1.0
# Set the fraction of valid transactions (as defined above) you
# received from the advertiser that you (the third party) have matched
# to an external user ID on your side.
# In most cases, you will set this to 1.0.
store_sales_third_party_metadata.partner_match_fraction = 1.0
# Set the fraction of transactions you (the third party) are uploading
# out of the transactions you received from the advertiser that meet
# both of the following criteria:
# 1. Are valid in terms of formatting and values. See valid transaction
# fraction above.
# 2. You matched to an external user ID on your side. See partner match
# fraction above.
# In most cases, you will set this to 1.0.
store_sales_third_party_metadata.partner_upload_fraction = 1.0
# Set the version of partner IDs to be used for uploads.
# Please speak with your Google representative to get the values to use
# for the bridge map version and partner IDs.
store_sales_third_party_metadata.bridge_map_version_id = (
bridge_map_version_id
)
# Set the third party partner ID uploading the transactions.
store_sales_third_party_metadata.partner_id = partner_id
create_offline_user_data_job_response: CreateOfflineUserDataJobResponse = (
offline_user_data_job_service.create_offline_user_data_job(
customer_id=customer_id, job=offline_user_data_job
)
)
offline_user_data_job_resource_name: str = (
create_offline_user_data_job_response.resource_name
)
print(
"Created an offline user data job with resource name "
f"'{offline_user_data_job_resource_name}'."
)
return offline_user_data_job_resource_name
def add_transactions_to_offline_user_data_job(
client: GoogleAdsClient,
offline_user_data_job_service: OfflineUserDataJobServiceClient,
customer_id: str,
offline_user_data_job_resource_name: str,
conversion_action_id: int,
custom_value: Optional[str],
item_id: Optional[str],
merchant_center_account_id: Optional[int],
country_code: Optional[str],
language_code: Optional[str],
quantity: int,
ad_user_data_consent: Optional[str],
ad_personalization_consent: Optional[str],
) -> None:
"""Add operations to the job for a set of sample transactions.
Args:
client: An initialized Google Ads API client.
offline_user_data_job_service: The offline user data job service client.
customer_id: The Google Ads customer ID.
offline_user_data_job_resource_name: The string resource name of the
offline user data job that will receive the transactions.
conversion_action_id: The ID of a store sales conversion action.
custom_value: A custom value str to segment store sales conversions.
Only required after creating a custom key and custom values in the
account.
item_id: Optional str ID of the product. Either the Merchant Center Item
ID or the Global Trade Item Number (GTIN). Only required if
uploading with item attributes.
merchant_center_account_id: Optional Merchant Center Account ID. Only
required if uploading with item attributes.
country_code: Optional two-letter country code of the location associated
with the feed where your items are uploaded. Only required if
uploading with item attributes.
language_code: Optional two-letter country code of the language
associated with the feed where your items are uploaded. Only
required if uploading with item attributes.
quantity: Optional number of items sold. Only required if uploading with
item attributes.
ad_user_data_consent: The consent status for ad user data for all
members in the job.
ad_personalization_consent: The personalization consent status for ad
user data for all members in the job.
"""
# Construct some sample transactions.
operations: List[OfflineUserDataJobOperation] = (
build_offline_user_data_job_operations(
client,
customer_id,
conversion_action_id,
custom_value,
item_id,
merchant_center_account_id,
country_code,
language_code,
quantity,
ad_user_data_consent,
ad_personalization_consent,
)
)
# Constructs a request with partial failure enabled to add the operations
# to the offline user data job, and enable_warnings set to true to retrieve
# warnings.
request: AddOfflineUserDataJobOperationsRequest = client.get_type(
"AddOfflineUserDataJobOperationsRequest"
)
request.resource_name = offline_user_data_job_resource_name
request.enable_partial_failure = True
request.enable_warnings = True
request.operations = operations
response: AddOfflineUserDataJobOperationsResponse = (
offline_user_data_job_service.add_offline_user_data_job_operations(
request=request,
)
)
# Print the error message for any partial failure error that is returned.
if response.partial_failure_error:
print_google_ads_failures(client, response.partial_failure_error)
else:
print(
f"Successfully added {len(operations)} to the offline user data "
"job."
)
# Print the message for any warnings that are returned.
if response.warning:
print_google_ads_failures(client, response.warning)
def print_google_ads_failures(
client: GoogleAdsClient, status: status_pb2.Status
) -> None:
"""Prints the details for partial failure errors and warnings.
Both partial failure errors and warnings are returned as Status instances,
which include serialized GoogleAdsFailure objects. Here we deserialize
each GoogleAdsFailure and print the error details it includes.
Args:
client: An initialized Google Ads API client.
status: a google.rpc.Status instance.
"""
detail: Any
for detail in status.details:
google_ads_failure: GoogleAdsFailure = client.get_type(
"GoogleAdsFailure"
)
# Retrieve the class definition of the GoogleAdsFailure instance
# with type() in order to use the "deserialize" class method to parse
# the detail string into a protobuf message instance.
failure_instance: GoogleAdsFailure = type(
google_ads_failure
).deserialize(detail.value)
error: GoogleAdsError
for error in failure_instance.errors:
print(
"A partial failure or warning at index "
f"{error.location.field_path_elements[0].index} occurred.\n"
f"Message: {error.message}\n"
f"Code: {error.error_code}"
)
def build_offline_user_data_job_operations(
client: GoogleAdsClient,
customer_id: str,
conversion_action_id: int,
custom_value: Optional[str],
item_id: Optional[str],
merchant_center_account_id: Optional[int],
country_code: Optional[str],
language_code: Optional[str],
quantity: int,
ad_user_data_consent: Optional[str],
ad_personalization_consent: Optional[str],
) -> List[OfflineUserDataJobOperation]:
"""Create offline user data job operations for sample transactions.
Args:
client: An initialized Google Ads API client.
customer_id: The Google Ads customer ID.
conversion_action_id: The ID of a store sales conversion action.
custom_value: A custom value str to segment store sales conversions.
Only required after creating a custom key and custom values in the
account.
item_id: Optional str ID of the product. Either the Merchant Center Item
ID or the Global Trade Item Number (GTIN). Only required if
uploading with item attributes.
merchant_center_account_id: Optional Merchant Center Account ID. Only
required if uploading with item attributes.
country_code: Optional two-letter country code of the location associated
with the feed where your items are uploaded. Only required if
uploading with item attributes.
language_code: Optional two-letter country code of the language
associated with the feed where your items are uploaded. Only
required if uploading with item attributes.
quantity: Optional number of items sold. Only required if uploading with
item attributes.
ad_user_data_consent: The consent status for ad user data for all
members in the job.
ad_personalization_consent: The personalization consent status for ad
user data for all members in the job.
Returns:
A list of OfflineUserDataJobOperations.
"""
# Create the first transaction for upload with an email address and state.
user_data_with_email_address_operation: OfflineUserDataJobOperation = (
client.get_type("OfflineUserDataJobOperation")
)
user_data_with_email_address: UserData = (
user_data_with_email_address_operation.create
)
email_identifier: UserIdentifier = client.get_type("UserIdentifier")
# Hash normalized email addresses based on SHA-256 hashing algorithm.
email_identifier.hashed_email = normalize_and_hash("dana@example.com")
state_identifier: UserIdentifier = client.get_type("UserIdentifier")
state_identifier.address_info.state = "NY"
user_data_with_email_address.user_identifiers.extend(
[email_identifier, state_identifier]
)
user_data_with_email_address.transaction_attribute.conversion_action = (
client.get_service("ConversionActionService").conversion_action_path(
customer_id, conversion_action_id
)
)
user_data_with_email_address.transaction_attribute.currency_code = "USD"
# Convert the transaction amount from $200 USD to micros.
user_data_with_email_address.transaction_attribute.transaction_amount_micros = (
200000000
)
# Specify the date and time of the transaction. The format is
# "YYYY-MM-DD HH:MM:SS[+HH:MM]", where [+HH:MM] is an optional timezone
# offset from UTC. If the offset is absent, the API will use the account's
# timezone as default. Examples: "2018-03-05 09:15:00" or
# "2018-02-01 14:34:30+03:00".
user_data_with_email_address.transaction_attribute.transaction_date_time = (
datetime.now() - datetime.timedelta(months=1)
).strftime("%Y-%m-%d %H:%M:%S")
# Specifies whether user consent was obtained for the data you are
# uploading. For more details, see:
# https://www.google.com/about/company/user-consent-policy
if ad_user_data_consent:
user_data_with_email_address.consent.ad_user_data = (
client.enums.ConsentStatusEnum[ad_user_data_consent]
)
if ad_personalization_consent:
user_data_with_email_address.consent.ad_personalization = (
client.enums.ConsentStatusEnum[ad_personalization_consent]
)
if custom_value:
user_data_with_email_address.transaction_attribute.custom_value = (
custom_value
)
# Create the second transaction for upload based on a physical address.
user_data_with_physical_address_operation: OfflineUserDataJobOperation = (
client.get_type("OfflineUserDataJobOperation")
)
user_data_with_physical_address: UserData = (
user_data_with_physical_address_operation.create
)
address_identifier: UserIdentifier = client.get_type("UserIdentifier")
# First and last name must be normalized and hashed.
address_identifier.address_info.hashed_first_name = normalize_and_hash(
"Dana"
)
address_identifier.address_info.hashed_last_name = normalize_and_hash(
"Quinn"
)
# Country and zip codes are sent in plain text.
address_identifier.address_info.country_code = "US"
address_identifier.address_info.postal_code = "10011"
user_data_with_physical_address.user_identifiers.append(address_identifier)
user_data_with_physical_address.transaction_attribute.conversion_action = (
client.get_service("ConversionActionService").conversion_action_path(
customer_id, conversion_action_id
)
)
user_data_with_physical_address.transaction_attribute.currency_code = "EUR"
# Convert the transaction amount from 450 EUR to micros.
user_data_with_physical_address.transaction_attribute.transaction_amount_micros = (
450000000
)
# Specify the date and time of the transaction. This date and time
# will be interpreted by the API using the Google Ads customer's
# time zone. The date/time must be in the format
# "yyyy-MM-dd hh:mm:ss".
user_data_with_physical_address.transaction_attribute.transaction_date_time = (
datetime.now() - datetime.timedelta(days=1)
).strftime(
"%Y-%m-%d %H:%M:%S"
)
# Optional: If uploading data with item attributes, also assign these
# values in the transaction attribute
if item_id:
item_attribute: ItemAttribute = (
user_data_with_physical_address.transaction_attribute.item_attribute
)
item_attribute.item_id = item_id
item_attribute.merchant_id = merchant_center_account_id
item_attribute.country_code = country_code
item_attribute.language_code = language_code
item_attribute.quantity = quantity
return [
user_data_with_email_address_operation,
user_data_with_physical_address_operation,
]
def normalize_and_hash(s: str) -> str:
"""Normalizes and hashes a string with SHA-256.
Args:
s: The string to perform this operation on.
Returns:
A normalized (lowercase, remove whitespace) and SHA-256 hashed string.
"""
return hashlib.sha256(s.strip().lower().encode()).hexdigest()
def check_job_status(
client: GoogleAdsClient,
customer_id: str,
offline_user_data_job_resource_name: str,
) -> None:
"""Retrieves, checks, and prints the status of the offline user data job.
Args:
client: An initialized Google Ads API client.
customer_id: The Google Ads customer ID.
offline_user_data_job_resource_name: The resource name of the job whose
status you wish to check.
"""
# Get the GoogleAdsService client.
googleads_service: GoogleAdsServiceClient = client.get_service(
"GoogleAdsService"
)
# Construct a query to fetch the job status.
query: str = f"""
SELECT
offline_user_data_job.resource_name,
offline_user_data_job.id,
offline_user_data_job.status,
offline_user_data_job.type,
offline_user_data_job.failure_reason
FROM offline_user_data_job
WHERE offline_user_data_job.resource_name =
'{offline_user_data_job_resource_name}'"""
# Issue the query and get the GoogleAdsRow containing the job.
googleads_row: GoogleAdsRow = next(
iter(googleads_service.search(customer_id=customer_id, query=query))
)
offline_user_data_job: OfflineUserDataJob = (
googleads_row.offline_user_data_job
)
offline_user_data_job_type_enum: (
OfflineUserDataJobTypeEnum.OfflineUserDataJobType
) = client.enums.OfflineUserDataJobTypeEnum.OfflineUserDataJobType
offline_user_data_job_status_enum: (
OfflineUserDataJobStatusEnum.OfflineUserDataJobStatus
) = client.enums.OfflineUserDataJobStatusEnum.OfflineUserDataJobStatus
job_status: int = offline_user_data_job.status
print(
f"Offline user data job ID {offline_user_data_job.id} with type "
f"'{offline_user_data_job_type_enum.Name(offline_user_data_job.type)}' "
f"has status {offline_user_data_job_status_enum.Name(job_status)}."
)
offline_user_data_job_status_enum_wrapper: OfflineUserDataJobStatusEnum = (
client.enums.OfflineUserDataJobStatusEnum
)
if job_status == offline_user_data_job_status_enum_wrapper.FAILED:
print(f"\tFailure reason: {offline_user_data_job.failure_reason}")
elif (
job_status == offline_user_data_job_status_enum_wrapper.PENDING
or job_status == offline_user_data_job_status_enum_wrapper.RUNNING
):
print(
"\nTo check the status of the job periodically, use the "
f"following GAQL query with GoogleAdsService.Search:\n{query}\n"
)
elif job_status == offline_user_data_job_status_enum_wrapper.SUCCESS:
print("\nThe requested job has completed successfully.")
else:
raise ValueError("Requested job has UNKNOWN or UNSPECIFIED status.")
if __name__ == "__main__":
# GoogleAdsClient will read the google-ads.yaml configuration file in the
# home directory if none is specified.
googleads_client: GoogleAdsClient = GoogleAdsClient.load_from_storage(
version="v22"
)
parser: argparse.ArgumentParser = argparse.ArgumentParser(
description="This example uploads offline data for store sales "
"transactions."
)
# The following argument(s) should be provided to run the example.
parser.add_argument(
"-c",
"--customer_id",
type=str,
required=True,
help="The Google Ads customer ID.",
)
parser.add_argument(
"-a",
"--conversion_action_id",
type=int,
required=True,
help="The ID of a store sales conversion action.",
)
group: argparse._MutuallyExclusiveGroup = (
parser.add_mutually_exclusive_group(required=False)
)
group.add_argument(
"-k",
"--custom_key",
type=str,
help="Only required after creating a custom key and custom values in "
"the account. Custom key and values are used to segment store sales "
"conversions. This measurement can be used to provide more advanced "
"insights. If provided, a custom value must also be provided",
)
group.add_argument(
"-v",
"--custom_value",
type=str,
help="Only required after creating a custom key and custom values in "
"the account. Custom key and values are used to segment store sales "
"conversions. This measurement can be used to provide more advanced "
"insights. If provided, a custom key must also be provided",
)
parser.add_argument(
"-o",
"--offline_user_data_job_type",
type=int,
required=False,
default=googleads_client.enums.OfflineUserDataJobTypeEnum.STORE_SALES_UPLOAD_FIRST_PARTY,
help="Optional type of offline user data in the job (first party or "
"third party). If you have an official store sales partnership with "
"Google, use STORE_SALES_UPLOAD_THIRD_PARTY. Otherwise, defaults to "
"STORE_SALES_UPLOAD_FIRST_PARTY.",
)
parser.add_argument(
"-e",
"--external_id",
type=int,
required=False,
default=None,
help="Optional, but recommended, external ID for the offline user data "
"job.",
)
parser.add_argument(
"-d",
"--advertiser_upload_date_time",
type=str,
required=False,
default=None,
help="Optional date and time the advertiser uploaded data to the "
"partner. Only required for third party uploads. The format is "
"'yyyy-mm-dd hh:mm:ss+|-hh:mm', e.g. '2021-01-01 12:32:45-08:00'.",
)
parser.add_argument(
"-b",
"--bridge_map_version_id",
type=str,
required=False,
default=None,
help="Optional version of partner IDs to be used for uploads. Only "
"required for third party uploads.",
)
parser.add_argument(
"-p",
"--partner_id",
type=int,
required=False,
default=None,
help="Optional ID of the third party partner. Only required for third "
"party uploads.",
)
parser.add_argument(
"-i",
"--item_id",
type=str,
required=False,
default=None,
help="Optional ID of the product. Either the Merchant Center Item ID "
"or the Global Trade Item Number (GTIN). Only required if uploading "
"with item attributes.",
)
parser.add_argument(
"-m",
"--merchant_center_account_id",
type=int,
required=False,
default=None,
help="Optional Merchant Center Account ID. Only required if uploading "
"with item attributes.",
)
parser.add_argument(
"-r",
"--country_code",
type=str,
required=False,
default=None,
help="Optional two-letter country code of the location associated with "
"the feed where your items are uploaded. Only required if uploading "
"with item attributes.",
)
parser.add_argument(
"-l",
"--language_code",
type=str,
required=False,
default=None,
help="Optional two-letter language code of the language associated "
"with the feed where your items are uploaded. Only required if "
"uploading with item attributes.",
)
parser.add_argument(
"-q",
"--quantity",
type=int,
required=False,
default=1,
help="Optional number of items sold. Only required if uploading with "
"item attributes.",
)
parser.add_argument(
"--ad_user_data_consent",
type=str,
choices=[
e.name
for e in googleads_client.enums.ConsentStatusEnum
if e.name not in ("UNSPECIFIED", "UNKNOWN")
],
help=(
"The data consent status for ad user data for all members in "
"the job."
),
)
parser.add_argument(
"--ad_personalization_consent",
type=str,
choices=[
e.name
for e in googleads_client.enums.ConsentStatusEnum
if e.name not in ("UNSPECIFIED", "UNKNOWN")
],
help=(
"The personalization consent status for ad user data for all "
"members in the job."
),
)
args: argparse.Namespace = parser.parse_args()
# Additional check to make sure that custom_key and custom_value are either
# not provided or both provided together.
required_together: Tuple[str, str] = ("custom_key", "custom_value")
required_custom_vals: List[Optional[str]] = [
getattr(args, field, None) for field in required_together
]
if any(required_custom_vals) and not all(required_custom_vals):
parser.error(
"--custom_key (-k) and --custom_value (-v) must be passed "
"in together"
)
try:
main(
googleads_client,
args.customer_id,
args.conversion_action_id,
args.offline_user_data_job_type,
args.external_id,
args.advertiser_upload_date_time,
args.bridge_map_version_id,
args.partner_id,
args.custom_key,
args.custom_value,
args.item_id,
args.merchant_center_account_id,
args.country_code,
args.language_code,
args.quantity,
args.ad_user_data_consent,
args.ad_personalization_consent,
)
except GoogleAdsException as ex:
print(
f"Request with ID '{ex.request_id}' failed with status "
f"'{ex.error.code().name}' and includes the following errors:"
)
for error in ex.failure.errors:
print(f"\tError with message '{error.message}'.")
if error.location:
for field_path_element in error.location.field_path_elements:
print(f"\t\tOn field: {field_path_element.field_name}")
sys.exit(1)
