pub fn ser_create_auto_ml_job_v2_input_input(
object: &mut ::aws_smithy_json::serialize::JsonObjectWriter,
input: &crate::operation::create_auto_ml_job_v2::CreateAutoMlJobV2Input,
) -> ::std::result::Result<(), ::aws_smithy_types::error::operation::SerializationError> {
if let Some(var_1) = &input.auto_ml_job_name {
object.key("AutoMLJobName").string(var_1.as_str());
}
if let Some(var_2) = &input.auto_ml_job_input_data_config {
let mut array_3 = object.key("AutoMLJobInputDataConfig").start_array();
for item_4 in var_2 {
{
#[allow(unused_mut)]
let mut object_5 = array_3.value().start_object();
crate::protocol_serde::shape_auto_ml_job_channel::ser_auto_ml_job_channel(&mut object_5, item_4)?;
object_5.finish();
}
}
array_3.finish();
}
if let Some(var_6) = &input.output_data_config {
#[allow(unused_mut)]
let mut object_7 = object.key("OutputDataConfig").start_object();
crate::protocol_serde::shape_auto_ml_output_data_config::ser_auto_ml_output_data_config(&mut object_7, var_6)?;
object_7.finish();
}
if let Some(var_8) = &input.auto_ml_problem_type_config {
#[allow(unused_mut)]
let mut object_9 = object.key("AutoMLProblemTypeConfig").start_object();
crate::protocol_serde::shape_auto_ml_problem_type_config::ser_auto_ml_problem_type_config(&mut object_9, var_8)?;
object_9.finish();
}
if let Some(var_10) = &input.role_arn {
object.key("RoleArn").string(var_10.as_str());
}
if let Some(var_11) = &input.tags {
let mut array_12 = object.key("Tags").start_array();
for item_13 in var_11 {
{
#[allow(unused_mut)]
let mut object_14 = array_12.value().start_object();
crate::protocol_serde::shape_tag::ser_tag(&mut object_14, item_13)?;
object_14.finish();
}
}
array_12.finish();
}
if let Some(var_15) = &input.security_config {
#[allow(unused_mut)]
let mut object_16 = object.key("SecurityConfig").start_object();
crate::protocol_serde::shape_auto_ml_security_config::ser_auto_ml_security_config(&mut object_16, var_15)?;
object_16.finish();
}
if let Some(var_17) = &input.auto_ml_job_objective {
#[allow(unused_mut)]
let mut object_18 = object.key("AutoMLJobObjective").start_object();
crate::protocol_serde::shape_auto_ml_job_objective::ser_auto_ml_job_objective(&mut object_18, var_17)?;
object_18.finish();
}
if let Some(var_19) = &input.model_deploy_config {
#[allow(unused_mut)]
let mut object_20 = object.key("ModelDeployConfig").start_object();
crate::protocol_serde::shape_model_deploy_config::ser_model_deploy_config(&mut object_20, var_19)?;
object_20.finish();
}
if let Some(var_21) = &input.data_split_config {
#[allow(unused_mut)]
let mut object_22 = object.key("DataSplitConfig").start_object();
crate::protocol_serde::shape_auto_ml_data_split_config::ser_auto_ml_data_split_config(&mut object_22, var_21)?;
object_22.finish();
}
if let Some(var_23) = &input.auto_ml_compute_config {
#[allow(unused_mut)]
let mut object_24 = object.key("AutoMLComputeConfig").start_object();
crate::protocol_serde::shape_auto_ml_compute_config::ser_auto_ml_compute_config(&mut object_24, var_23)?;
object_24.finish();
}
Ok(())
}