aws_sdk_machinelearning/operation/
create_ml_model.rs

1// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
2/// Orchestration and serialization glue logic for `CreateMLModel`.
3#[derive(::std::clone::Clone, ::std::default::Default, ::std::fmt::Debug)]
4#[non_exhaustive]
5pub struct CreateMLModel;
6impl CreateMLModel {
7    /// Creates a new `CreateMLModel`
8    pub fn new() -> Self {
9        Self
10    }
11    pub(crate) async fn orchestrate(
12        runtime_plugins: &::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins,
13        input: crate::operation::create_ml_model::CreateMlModelInput,
14    ) -> ::std::result::Result<
15        crate::operation::create_ml_model::CreateMlModelOutput,
16        ::aws_smithy_runtime_api::client::result::SdkError<
17            crate::operation::create_ml_model::CreateMLModelError,
18            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
19        >,
20    > {
21        let map_err = |err: ::aws_smithy_runtime_api::client::result::SdkError<
22            ::aws_smithy_runtime_api::client::interceptors::context::Error,
23            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
24        >| {
25            err.map_service_error(|err| {
26                err.downcast::<crate::operation::create_ml_model::CreateMLModelError>()
27                    .expect("correct error type")
28            })
29        };
30        let context = Self::orchestrate_with_stop_point(runtime_plugins, input, ::aws_smithy_runtime::client::orchestrator::StopPoint::None)
31            .await
32            .map_err(map_err)?;
33        let output = context.finalize().map_err(map_err)?;
34        ::std::result::Result::Ok(
35            output
36                .downcast::<crate::operation::create_ml_model::CreateMlModelOutput>()
37                .expect("correct output type"),
38        )
39    }
40
41    pub(crate) async fn orchestrate_with_stop_point(
42        runtime_plugins: &::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins,
43        input: crate::operation::create_ml_model::CreateMlModelInput,
44        stop_point: ::aws_smithy_runtime::client::orchestrator::StopPoint,
45    ) -> ::std::result::Result<
46        ::aws_smithy_runtime_api::client::interceptors::context::InterceptorContext,
47        ::aws_smithy_runtime_api::client::result::SdkError<
48            ::aws_smithy_runtime_api::client::interceptors::context::Error,
49            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
50        >,
51    > {
52        let input = ::aws_smithy_runtime_api::client::interceptors::context::Input::erase(input);
53        use ::tracing::Instrument;
54        ::aws_smithy_runtime::client::orchestrator::invoke_with_stop_point("Machine Learning", "CreateMLModel", input, runtime_plugins, stop_point)
55            // Create a parent span for the entire operation. Includes a random, internal-only,
56            // seven-digit ID for the operation orchestration so that it can be correlated in the logs.
57            .instrument(::tracing::debug_span!(
58                "Machine Learning.CreateMLModel",
59                "rpc.service" = "Machine Learning",
60                "rpc.method" = "CreateMLModel",
61                "sdk_invocation_id" = ::fastrand::u32(1_000_000..10_000_000),
62                "rpc.system" = "aws-api",
63            ))
64            .await
65    }
66
67    pub(crate) fn operation_runtime_plugins(
68        client_runtime_plugins: ::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins,
69        client_config: &crate::config::Config,
70        config_override: ::std::option::Option<crate::config::Builder>,
71    ) -> ::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins {
72        let mut runtime_plugins = client_runtime_plugins.with_operation_plugin(Self::new());
73
74        if let ::std::option::Option::Some(config_override) = config_override {
75            for plugin in config_override.runtime_plugins.iter().cloned() {
76                runtime_plugins = runtime_plugins.with_operation_plugin(plugin);
77            }
78            runtime_plugins = runtime_plugins.with_operation_plugin(crate::config::ConfigOverrideRuntimePlugin::new(
79                config_override,
80                client_config.config.clone(),
81                &client_config.runtime_components,
82            ));
83        }
84        runtime_plugins
85    }
86}
87impl ::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugin for CreateMLModel {
88    fn config(&self) -> ::std::option::Option<::aws_smithy_types::config_bag::FrozenLayer> {
89        let mut cfg = ::aws_smithy_types::config_bag::Layer::new("CreateMLModel");
90
91        cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedRequestSerializer::new(
92            CreateMLModelRequestSerializer,
93        ));
94        cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedResponseDeserializer::new(
95            CreateMLModelResponseDeserializer,
96        ));
97
98        cfg.store_put(::aws_smithy_runtime_api::client::auth::AuthSchemeOptionResolverParams::new(
99            crate::config::auth::Params::builder()
100                .operation_name("CreateMLModel")
101                .build()
102                .expect("required fields set"),
103        ));
104
105        cfg.store_put(::aws_smithy_runtime_api::client::orchestrator::Metadata::new(
106            "CreateMLModel",
107            "Machine Learning",
108        ));
109        let mut signing_options = ::aws_runtime::auth::SigningOptions::default();
110        signing_options.double_uri_encode = true;
111        signing_options.content_sha256_header = false;
112        signing_options.normalize_uri_path = true;
113        signing_options.payload_override = None;
114
115        cfg.store_put(::aws_runtime::auth::SigV4OperationSigningConfig {
116            signing_options,
117            ..::std::default::Default::default()
118        });
119
120        ::std::option::Option::Some(cfg.freeze())
121    }
122
123    fn runtime_components(
124        &self,
125        _: &::aws_smithy_runtime_api::client::runtime_components::RuntimeComponentsBuilder,
126    ) -> ::std::borrow::Cow<'_, ::aws_smithy_runtime_api::client::runtime_components::RuntimeComponentsBuilder> {
127        #[allow(unused_mut)]
128        let mut rcb = ::aws_smithy_runtime_api::client::runtime_components::RuntimeComponentsBuilder::new("CreateMLModel")
129            .with_interceptor(::aws_smithy_runtime_api::client::interceptors::SharedInterceptor::permanent(
130                CreateMLModelTelemetryInputCaptureInterceptor,
131            ))
132            .with_interceptor(::aws_smithy_runtime_api::client::interceptors::SharedInterceptor::permanent(
133                ::aws_smithy_runtime::client::stalled_stream_protection::StalledStreamProtectionInterceptor::default(),
134            ))
135            .with_interceptor(::aws_smithy_runtime_api::client::interceptors::SharedInterceptor::permanent(
136                CreateMLModelEndpointParamsInterceptor,
137            ))
138            .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::TransientErrorClassifier::<
139                crate::operation::create_ml_model::CreateMLModelError,
140            >::new())
141            .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::ModeledAsRetryableClassifier::<
142                crate::operation::create_ml_model::CreateMLModelError,
143            >::new())
144            .with_retry_classifier(::aws_runtime::retries::classifiers::AwsErrorCodeClassifier::<
145                crate::operation::create_ml_model::CreateMLModelError,
146            >::new())
147            .with_retry_classifier(::aws_runtime::service_clock_skew::ServiceClockSkewClassifier::<
148                crate::operation::create_ml_model::CreateMLModelError,
149            >::new());
150
151        ::std::borrow::Cow::Owned(rcb)
152    }
153}
154
155#[derive(Debug)]
156struct CreateMLModelTelemetryInputCaptureInterceptor;
157
158#[::aws_smithy_runtime_api::client::interceptors::dyn_dispatch_hint]
159impl ::aws_smithy_runtime_api::client::interceptors::Intercept for CreateMLModelTelemetryInputCaptureInterceptor {
160    fn name(&self) -> &'static str {
161        "CreateMLModelTelemetryInputCaptureInterceptor"
162    }
163
164    fn read_before_execution(
165        &self,
166        context: &::aws_smithy_runtime_api::client::interceptors::context::BeforeSerializationInterceptorContextRef<
167            '_,
168            ::aws_smithy_runtime_api::client::interceptors::context::Input,
169            ::aws_smithy_runtime_api::client::interceptors::context::Output,
170            ::aws_smithy_runtime_api::client::interceptors::context::Error,
171        >,
172        cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
173    ) -> ::std::result::Result<(), ::aws_smithy_runtime_api::box_error::BoxError> {
174        // Nothing to do unless the customer opted in by naming members to record.
175        let ::std::option::Option::Some(requested) = cfg
176            .load::<::aws_smithy_types::telemetry::RequestedTelemetryAttributes>()
177            .filter(|r| !r.is_empty())
178        else {
179            return ::std::result::Result::Ok(());
180        };
181
182        let ::std::option::Option::Some(input) = context.input().downcast_ref::<CreateMlModelInput>() else {
183            // A mismatched input is not this interceptor's concern; skip quietly.
184            return ::std::result::Result::Ok(());
185        };
186
187        let mut captured = ::aws_smithy_types::telemetry::CapturedTelemetryAttributes::default();
188        if requested.should_capture("MLModelId") {
189            if let ::std::option::Option::Some(value) = input.ml_model_id.as_deref() {
190                captured.insert("MLModelId", value);
191            }
192        }
193        if requested.should_capture("MLModelName") {
194            if let ::std::option::Option::Some(value) = input.ml_model_name.as_deref() {
195                captured.insert("MLModelName", value);
196            }
197        }
198        if requested.should_capture("TrainingDataSourceId") {
199            if let ::std::option::Option::Some(value) = input.training_data_source_id.as_deref() {
200                captured.insert("TrainingDataSourceId", value);
201            }
202        }
203        if requested.should_capture("Recipe") {
204            if let ::std::option::Option::Some(value) = input.recipe.as_deref() {
205                captured.insert("Recipe", value);
206            }
207        }
208        if requested.should_capture("RecipeUri") {
209            if let ::std::option::Option::Some(value) = input.recipe_uri.as_deref() {
210                captured.insert("RecipeUri", value);
211            }
212        }
213
214        cfg.interceptor_state().store_put(captured);
215        ::std::result::Result::Ok(())
216    }
217}
218#[derive(Debug)]
219struct CreateMLModelResponseDeserializer;
220impl ::aws_smithy_runtime_api::client::ser_de::DeserializeResponse for CreateMLModelResponseDeserializer {
221    fn deserialize_nonstreaming_with_config(
222        &self,
223        response: &::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
224        _cfg: &::aws_smithy_types::config_bag::ConfigBag,
225    ) -> ::aws_smithy_runtime_api::client::interceptors::context::OutputOrError {
226        let (success, status) = (response.status().is_success(), response.status().as_u16());
227        let headers = response.headers();
228        let body = response.body().bytes().expect("body loaded");
229        #[allow(unused_mut)]
230        let mut force_error = false;
231        ::tracing::debug!(request_id = ?::aws_types::request_id::RequestId::request_id(response));
232        let parse_result = if !success && status != 200 || force_error {
233            crate::protocol_serde::shape_create_ml_model::de_create_ml_model_http_error(status, headers, body)
234        } else {
235            crate::protocol_serde::shape_create_ml_model::de_create_ml_model_http_response(status, headers, body)
236        };
237        crate::protocol_serde::type_erase_result(parse_result)
238    }
239}
240#[derive(Debug)]
241struct CreateMLModelRequestSerializer;
242impl ::aws_smithy_runtime_api::client::ser_de::SerializeRequest for CreateMLModelRequestSerializer {
243    #[allow(unused_mut, clippy::let_and_return, clippy::needless_borrow, clippy::useless_conversion)]
244    fn serialize_input(
245        &self,
246        input: ::aws_smithy_runtime_api::client::interceptors::context::Input,
247        _cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
248    ) -> ::std::result::Result<::aws_smithy_runtime_api::client::orchestrator::HttpRequest, ::aws_smithy_runtime_api::box_error::BoxError> {
249        let input = input
250            .downcast::<crate::operation::create_ml_model::CreateMlModelInput>()
251            .expect("correct type");
252        let _header_serialization_settings = _cfg
253            .load::<crate::serialization_settings::HeaderSerializationSettings>()
254            .cloned()
255            .unwrap_or_default();
256        let mut request_builder = {
257            #[allow(clippy::uninlined_format_args)]
258            fn uri_base(
259                _input: &crate::operation::create_ml_model::CreateMlModelInput,
260                output: &mut ::std::string::String,
261            ) -> ::std::result::Result<(), ::aws_smithy_types::error::operation::BuildError> {
262                use ::std::fmt::Write as _;
263                ::std::write!(output, "/").expect("formatting should succeed");
264                ::std::result::Result::Ok(())
265            }
266            #[allow(clippy::unnecessary_wraps)]
267            fn update_http_builder(
268                input: &crate::operation::create_ml_model::CreateMlModelInput,
269                builder: ::http_1x::request::Builder,
270            ) -> ::std::result::Result<::http_1x::request::Builder, ::aws_smithy_types::error::operation::BuildError> {
271                let mut uri = ::std::string::String::new();
272                uri_base(input, &mut uri)?;
273                ::std::result::Result::Ok(builder.method("POST").uri(uri))
274            }
275            let mut builder = update_http_builder(&input, ::http_1x::request::Builder::new())?;
276            builder = _header_serialization_settings.set_default_header(builder, ::http_1x::header::CONTENT_TYPE, "application/x-amz-json-1.1");
277            builder = _header_serialization_settings.set_default_header(
278                builder,
279                ::http_1x::header::HeaderName::from_static("x-amz-target"),
280                "AmazonML_20141212.CreateMLModel",
281            );
282            builder
283        };
284        let body = ::aws_smithy_types::body::SdkBody::from(crate::protocol_serde::shape_create_ml_model::ser_create_ml_model_input(&input)?);
285        if let Some(content_length) = body.content_length() {
286            let content_length = content_length.to_string();
287            request_builder = _header_serialization_settings.set_default_header(request_builder, ::http_1x::header::CONTENT_LENGTH, &content_length);
288        }
289        ::std::result::Result::Ok(request_builder.body(body).expect("valid request").try_into().unwrap())
290    }
291}
292#[derive(Debug)]
293struct CreateMLModelEndpointParamsInterceptor;
294
295#[::aws_smithy_runtime_api::client::interceptors::dyn_dispatch_hint]
296impl ::aws_smithy_runtime_api::client::interceptors::Intercept for CreateMLModelEndpointParamsInterceptor {
297    fn name(&self) -> &'static str {
298        "CreateMLModelEndpointParamsInterceptor"
299    }
300
301    fn read_before_execution(
302        &self,
303        context: &::aws_smithy_runtime_api::client::interceptors::context::BeforeSerializationInterceptorContextRef<
304            '_,
305            ::aws_smithy_runtime_api::client::interceptors::context::Input,
306            ::aws_smithy_runtime_api::client::interceptors::context::Output,
307            ::aws_smithy_runtime_api::client::interceptors::context::Error,
308        >,
309        cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
310    ) -> ::std::result::Result<(), ::aws_smithy_runtime_api::box_error::BoxError> {
311        let _input = context
312            .input()
313            .downcast_ref::<CreateMlModelInput>()
314            .ok_or("failed to downcast to CreateMlModelInput")?;
315
316        let params = crate::config::endpoint::Params::builder()
317            .set_region(cfg.load::<::aws_types::region::Region>().map(|r| r.as_ref().to_owned()))
318            .set_use_dual_stack(cfg.load::<::aws_types::endpoint_config::UseDualStack>().map(|ty| ty.0))
319            .set_use_fips(cfg.load::<::aws_types::endpoint_config::UseFips>().map(|ty| ty.0))
320            .set_endpoint(cfg.load::<::aws_types::endpoint_config::EndpointUrl>().map(|ty| ty.0.clone()))
321            .build()
322            .map_err(|err| {
323                ::aws_smithy_runtime_api::client::interceptors::error::ContextAttachedError::new("endpoint params could not be built", err)
324            })?;
325        cfg.interceptor_state()
326            .store_put(::aws_smithy_runtime_api::client::endpoint::EndpointResolverParams::new(params));
327        ::std::result::Result::Ok(())
328    }
329}
330
331// The get_* functions below are generated from JMESPath expressions in the
332// operationContextParams trait. They target the operation's input shape.
333
334/// Error type for the `CreateMLModelError` operation.
335#[non_exhaustive]
336#[derive(::std::fmt::Debug)]
337pub enum CreateMLModelError {
338    /// <p>A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.</p>
339    IdempotentParameterMismatchException(crate::types::error::IdempotentParameterMismatchException),
340    /// <p>An error on the server occurred when trying to process a request.</p>
341    InternalServerException(crate::types::error::InternalServerException),
342    /// <p>An error on the client occurred. Typically, the cause is an invalid input value.</p>
343    InvalidInputException(crate::types::error::InvalidInputException),
344    /// An unexpected error occurred (e.g., invalid JSON returned by the service or an unknown error code).
345    #[deprecated(note = "Matching `Unhandled` directly is not forwards compatible. Instead, match using a \
346    variable wildcard pattern and check `.code()`:
347     \
348    &nbsp;&nbsp;&nbsp;`err if err.code() == Some(\"SpecificExceptionCode\") => { /* handle the error */ }`
349     \
350    See [`ProvideErrorMetadata`](#impl-ProvideErrorMetadata-for-CreateMLModelError) for what information is available for the error.")]
351    Unhandled(crate::error::sealed_unhandled::Unhandled),
352}
353impl CreateMLModelError {
354    /// Creates the `CreateMLModelError::Unhandled` variant from any error type.
355    pub fn unhandled(
356        err: impl ::std::convert::Into<::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>>,
357    ) -> Self {
358        Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
359            source: err.into(),
360            meta: ::std::default::Default::default(),
361        })
362    }
363
364    /// Creates the `CreateMLModelError::Unhandled` variant from an [`ErrorMetadata`](::aws_smithy_types::error::ErrorMetadata).
365    pub fn generic(err: ::aws_smithy_types::error::ErrorMetadata) -> Self {
366        Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
367            source: err.clone().into(),
368            meta: err,
369        })
370    }
371    ///
372    /// Returns error metadata, which includes the error code, message,
373    /// request ID, and potentially additional information.
374    ///
375    pub fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
376        match self {
377            Self::IdempotentParameterMismatchException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
378            Self::InternalServerException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
379            Self::InvalidInputException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
380            Self::Unhandled(e) => &e.meta,
381        }
382    }
383    /// Returns `true` if the error kind is `CreateMLModelError::IdempotentParameterMismatchException`.
384    pub fn is_idempotent_parameter_mismatch_exception(&self) -> bool {
385        matches!(self, Self::IdempotentParameterMismatchException(_))
386    }
387    /// Returns `true` if the error kind is `CreateMLModelError::InternalServerException`.
388    pub fn is_internal_server_exception(&self) -> bool {
389        matches!(self, Self::InternalServerException(_))
390    }
391    /// Returns `true` if the error kind is `CreateMLModelError::InvalidInputException`.
392    pub fn is_invalid_input_exception(&self) -> bool {
393        matches!(self, Self::InvalidInputException(_))
394    }
395}
396impl ::std::error::Error for CreateMLModelError {
397    fn source(&self) -> ::std::option::Option<&(dyn ::std::error::Error + 'static)> {
398        match self {
399            Self::IdempotentParameterMismatchException(_inner) => ::std::option::Option::Some(_inner),
400            Self::InternalServerException(_inner) => ::std::option::Option::Some(_inner),
401            Self::InvalidInputException(_inner) => ::std::option::Option::Some(_inner),
402            Self::Unhandled(_inner) => ::std::option::Option::Some(&*_inner.source),
403        }
404    }
405}
406impl ::std::fmt::Display for CreateMLModelError {
407    fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
408        match self {
409            Self::IdempotentParameterMismatchException(_inner) => _inner.fmt(f),
410            Self::InternalServerException(_inner) => _inner.fmt(f),
411            Self::InvalidInputException(_inner) => _inner.fmt(f),
412            Self::Unhandled(_inner) => {
413                if let ::std::option::Option::Some(code) = ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self) {
414                    write!(f, "unhandled error ({code})")
415                } else {
416                    f.write_str("unhandled error")
417                }
418            }
419        }
420    }
421}
422impl ::aws_smithy_types::retry::ProvideErrorKind for CreateMLModelError {
423    fn code(&self) -> ::std::option::Option<&str> {
424        ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self)
425    }
426    fn retryable_error_kind(&self) -> ::std::option::Option<::aws_smithy_types::retry::ErrorKind> {
427        ::std::option::Option::None
428    }
429}
430impl ::aws_smithy_types::error::metadata::ProvideErrorMetadata for CreateMLModelError {
431    fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
432        match self {
433            Self::IdempotentParameterMismatchException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
434            Self::InternalServerException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
435            Self::InvalidInputException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
436            Self::Unhandled(_inner) => &_inner.meta,
437        }
438    }
439}
440impl ::aws_smithy_runtime_api::client::result::CreateUnhandledError for CreateMLModelError {
441    fn create_unhandled_error(
442        source: ::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>,
443        meta: ::std::option::Option<::aws_smithy_types::error::ErrorMetadata>,
444    ) -> Self {
445        Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
446            source,
447            meta: meta.unwrap_or_default(),
448        })
449    }
450}
451impl ::aws_types::request_id::RequestId for crate::operation::create_ml_model::CreateMLModelError {
452    fn request_id(&self) -> Option<&str> {
453        self.meta().request_id()
454    }
455}
456
457pub use crate::operation::create_ml_model::_create_ml_model_input::CreateMlModelInput;
458
459pub use crate::operation::create_ml_model::_create_ml_model_output::CreateMlModelOutput;
460
461mod _create_ml_model_input;
462
463mod _create_ml_model_output;
464
465/// Builders
466pub mod builders;
aws_sdk_machinelearning/operation/create_ml_model.rs

aws_sdk_machinelearning/operation/
create_ml_model.rs
