Google Ads API: How to Send Batch Requests?

I'm using Google Ads API v11 to upload conversions and adjust conversions. I send hundreds of conversions each day and want to start sending batch requests instead.

I've followed Google's documentation and I upload/ adjust conversions exactly the way they stated. https://developers.google.com/google-ads/api/docs/conversions/upload-clicks https://developers.google.com/google-ads/api/docs/conversions/upload-adjustments

I could not find any good explanation or example on how to send batch requests: https://developers.google.com/google-ads/api/reference/rpc/v11/BatchJobService

Below is my code, an example of how I adjust hundreds of conversions. An explanation of how to do so with batch requests would be very appreciated.

# Adjust the conversion value of an existing conversion, via Google Ads API def adjust_offline_conversion(client,     customer_id,     conversion_action_id,     gclid,     conversion_date_time,     adjustment_date_time,     restatement_value,     adjustment_type='RESTATEMENT'):     # Check that gclid is valid string else exit the function     if type(gclid) is not str:         return None     # Check if datetime or string, if string make as datetime     if type(conversion_date_time) is str:         conversion_date_time = datetime.strptime(conversion_date_time, '%Y-%m-%d %H:%M:%S')     # Add 1 day forward to conversion time to avoid this error (as explained by Google: "The Offline Conversion cannot happen before the ad click. Add 1-2 days to your conversion time in your upload, or check that the time zone is properly set.")     to_datetime_plus_one = conversion_date_time + timedelta(days=1)     # If time is bigger than now, set as now (it will be enough to avoid the original google error, but to avoid a new error since google does not support future dates that are bigger than now)     to_datetime_plus_one = to_datetime_plus_one if to_datetime_plus_one < datetime.utcnow() else datetime.utcnow()     # We must convert datetime back to string + add time zone suffix (+00:00 or -00:00 this is utc) **in order to work with google ads api**     adjusted_string_date = to_datetime_plus_one.strftime('%Y-%m-%d %H:%M:%S') + "+00:00"     conversion_adjustment_type_enum = client.enums.ConversionAdjustmentTypeEnum     # Determine the adjustment type.     conversion_adjustment_type = conversion_adjustment_type_enum[adjustment_type].value     # Associates conversion adjustments with the existing conversion action.     # The GCLID should have been uploaded before with a conversion     conversion_adjustment = client.get_type("ConversionAdjustment")     conversion_action_service = client.get_service("ConversionActionService")     conversion_adjustment.conversion_action = (         conversion_action_service.conversion_action_path(             customer_id, conversion_action_id         )     )     conversion_adjustment.adjustment_type = conversion_adjustment_type     conversion_adjustment.adjustment_date_time = adjustment_date_time.strftime('%Y-%m-%d %H:%M:%S') + "+00:00"     # Set the Gclid Date     conversion_adjustment.gclid_date_time_pair.gclid = gclid     conversion_adjustment.gclid_date_time_pair.conversion_date_time = adjusted_string_date     # Sets adjusted value for adjustment type RESTATEMENT.     if conversion_adjustment_type == conversion_adjustment_type_enum.RESTATEMENT.value:         conversion_adjustment.restatement_value.adjusted_value = float(restatement_value)     conversion_adjustment_upload_service = client.get_service("ConversionAdjustmentUploadService")     request = client.get_type("UploadConversionAdjustmentsRequest")     request.customer_id = customer_id     request.conversion_adjustments = [conversion_adjustment]     request.partial_failure = True     response = (         conversion_adjustment_upload_service.upload_conversion_adjustments(             request=request,         )     )     conversion_adjustment_result = response.results[0]     print(         f"Uploaded conversion that occurred at "         f'"{conversion_adjustment_result.adjustment_date_time}" '         f"from Gclid "         f'"{conversion_adjustment_result.gclid_date_time_pair.gclid}"'         f' to "{conversion_adjustment_result.conversion_action}"'     ) # Iterate every row (subscriber) and call the "adjust conversion" function for it df.apply(lambda row: adjust_offline_conversion(client=client                                                    , customer_id=customer_id                                                    , conversion_action_id='xxxxxxx'                                                    , gclid=row['click_id']                                                    , conversion_date_time=row['subscription_time']                                                    , adjustment_date_time=datetime.utcnow()                                                    , restatement_value=row['revenue'])                                                    , axis=1)