aws_sdk_machinelearning/operation/
describe_ml_models.rs

1// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
2/// Orchestration and serialization glue logic for `DescribeMLModels`.
3#[derive(::std::clone::Clone, ::std::default::Default, ::std::fmt::Debug)]
4#[non_exhaustive]
5pub struct DescribeMLModels;
6impl DescribeMLModels {
7    /// Creates a new `DescribeMLModels`
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::describe_ml_models::DescribeMlModelsInput,
14    ) -> ::std::result::Result<
15        crate::operation::describe_ml_models::DescribeMlModelsOutput,
16        ::aws_smithy_runtime_api::client::result::SdkError<
17            crate::operation::describe_ml_models::DescribeMLModelsError,
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::describe_ml_models::DescribeMLModelsError>()
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::describe_ml_models::DescribeMlModelsOutput>()
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::describe_ml_models::DescribeMlModelsInput,
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", "DescribeMLModels", 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.DescribeMLModels",
59                "rpc.service" = "Machine Learning",
60                "rpc.method" = "DescribeMLModels",
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 DescribeMLModels {
88    fn config(&self) -> ::std::option::Option<::aws_smithy_types::config_bag::FrozenLayer> {
89        let mut cfg = ::aws_smithy_types::config_bag::Layer::new("DescribeMLModels");
90
91        cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedRequestSerializer::new(
92            DescribeMLModelsRequestSerializer,
93        ));
94        cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedResponseDeserializer::new(
95            DescribeMLModelsResponseDeserializer,
96        ));
97
98        cfg.store_put(::aws_smithy_runtime_api::client::auth::AuthSchemeOptionResolverParams::new(
99            crate::config::auth::Params::builder()
100                .operation_name("DescribeMLModels")
101                .build()
102                .expect("required fields set"),
103        ));
104
105        cfg.store_put(::aws_smithy_runtime_api::client::orchestrator::Metadata::new(
106            "DescribeMLModels",
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("DescribeMLModels")
129            .with_interceptor(::aws_smithy_runtime_api::client::interceptors::SharedInterceptor::permanent(
130                DescribeMLModelsTelemetryInputCaptureInterceptor,
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                DescribeMLModelsEndpointParamsInterceptor,
137            ))
138            .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::TransientErrorClassifier::<
139                crate::operation::describe_ml_models::DescribeMLModelsError,
140            >::new())
141            .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::ModeledAsRetryableClassifier::<
142                crate::operation::describe_ml_models::DescribeMLModelsError,
143            >::new())
144            .with_retry_classifier(::aws_runtime::retries::classifiers::AwsErrorCodeClassifier::<
145                crate::operation::describe_ml_models::DescribeMLModelsError,
146            >::new())
147            .with_retry_classifier(::aws_runtime::service_clock_skew::ServiceClockSkewClassifier::<
148                crate::operation::describe_ml_models::DescribeMLModelsError,
149            >::new());
150
151        ::std::borrow::Cow::Owned(rcb)
152    }
153}
154
155#[derive(Debug)]
156struct DescribeMLModelsTelemetryInputCaptureInterceptor;
157
158#[::aws_smithy_runtime_api::client::interceptors::dyn_dispatch_hint]
159impl ::aws_smithy_runtime_api::client::interceptors::Intercept for DescribeMLModelsTelemetryInputCaptureInterceptor {
160    fn name(&self) -> &'static str {
161        "DescribeMLModelsTelemetryInputCaptureInterceptor"
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::<DescribeMlModelsInput>() 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("EQ") {
189            if let ::std::option::Option::Some(value) = input.eq.as_deref() {
190                captured.insert("EQ", value);
191            }
192        }
193        if requested.should_capture("GT") {
194            if let ::std::option::Option::Some(value) = input.gt.as_deref() {
195                captured.insert("GT", value);
196            }
197        }
198        if requested.should_capture("LT") {
199            if let ::std::option::Option::Some(value) = input.lt.as_deref() {
200                captured.insert("LT", value);
201            }
202        }
203        if requested.should_capture("GE") {
204            if let ::std::option::Option::Some(value) = input.ge.as_deref() {
205                captured.insert("GE", value);
206            }
207        }
208        if requested.should_capture("LE") {
209            if let ::std::option::Option::Some(value) = input.le.as_deref() {
210                captured.insert("LE", value);
211            }
212        }
213        if requested.should_capture("NE") {
214            if let ::std::option::Option::Some(value) = input.ne.as_deref() {
215                captured.insert("NE", value);
216            }
217        }
218        if requested.should_capture("Prefix") {
219            if let ::std::option::Option::Some(value) = input.prefix.as_deref() {
220                captured.insert("Prefix", value);
221            }
222        }
223        if requested.should_capture("NextToken") {
224            if let ::std::option::Option::Some(value) = input.next_token.as_deref() {
225                captured.insert("NextToken", value);
226            }
227        }
228
229        cfg.interceptor_state().store_put(captured);
230        ::std::result::Result::Ok(())
231    }
232}
233#[derive(Debug)]
234struct DescribeMLModelsResponseDeserializer;
235impl ::aws_smithy_runtime_api::client::ser_de::DeserializeResponse for DescribeMLModelsResponseDeserializer {
236    fn deserialize_nonstreaming_with_config(
237        &self,
238        response: &::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
239        _cfg: &::aws_smithy_types::config_bag::ConfigBag,
240    ) -> ::aws_smithy_runtime_api::client::interceptors::context::OutputOrError {
241        let (success, status) = (response.status().is_success(), response.status().as_u16());
242        let headers = response.headers();
243        let body = response.body().bytes().expect("body loaded");
244        #[allow(unused_mut)]
245        let mut force_error = false;
246        ::tracing::debug!(request_id = ?::aws_types::request_id::RequestId::request_id(response));
247        let parse_result = if !success && status != 200 || force_error {
248            crate::protocol_serde::shape_describe_ml_models::de_describe_ml_models_http_error(status, headers, body)
249        } else {
250            crate::protocol_serde::shape_describe_ml_models::de_describe_ml_models_http_response(status, headers, body)
251        };
252        crate::protocol_serde::type_erase_result(parse_result)
253    }
254}
255#[derive(Debug)]
256struct DescribeMLModelsRequestSerializer;
257impl ::aws_smithy_runtime_api::client::ser_de::SerializeRequest for DescribeMLModelsRequestSerializer {
258    #[allow(unused_mut, clippy::let_and_return, clippy::needless_borrow, clippy::useless_conversion)]
259    fn serialize_input(
260        &self,
261        input: ::aws_smithy_runtime_api::client::interceptors::context::Input,
262        _cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
263    ) -> ::std::result::Result<::aws_smithy_runtime_api::client::orchestrator::HttpRequest, ::aws_smithy_runtime_api::box_error::BoxError> {
264        let input = input
265            .downcast::<crate::operation::describe_ml_models::DescribeMlModelsInput>()
266            .expect("correct type");
267        let _header_serialization_settings = _cfg
268            .load::<crate::serialization_settings::HeaderSerializationSettings>()
269            .cloned()
270            .unwrap_or_default();
271        let mut request_builder = {
272            #[allow(clippy::uninlined_format_args)]
273            fn uri_base(
274                _input: &crate::operation::describe_ml_models::DescribeMlModelsInput,
275                output: &mut ::std::string::String,
276            ) -> ::std::result::Result<(), ::aws_smithy_types::error::operation::BuildError> {
277                use ::std::fmt::Write as _;
278                ::std::write!(output, "/").expect("formatting should succeed");
279                ::std::result::Result::Ok(())
280            }
281            #[allow(clippy::unnecessary_wraps)]
282            fn update_http_builder(
283                input: &crate::operation::describe_ml_models::DescribeMlModelsInput,
284                builder: ::http_1x::request::Builder,
285            ) -> ::std::result::Result<::http_1x::request::Builder, ::aws_smithy_types::error::operation::BuildError> {
286                let mut uri = ::std::string::String::new();
287                uri_base(input, &mut uri)?;
288                ::std::result::Result::Ok(builder.method("POST").uri(uri))
289            }
290            let mut builder = update_http_builder(&input, ::http_1x::request::Builder::new())?;
291            builder = _header_serialization_settings.set_default_header(builder, ::http_1x::header::CONTENT_TYPE, "application/x-amz-json-1.1");
292            builder = _header_serialization_settings.set_default_header(
293                builder,
294                ::http_1x::header::HeaderName::from_static("x-amz-target"),
295                "AmazonML_20141212.DescribeMLModels",
296            );
297            builder
298        };
299        let body = ::aws_smithy_types::body::SdkBody::from(crate::protocol_serde::shape_describe_ml_models::ser_describe_ml_models_input(&input)?);
300        if let Some(content_length) = body.content_length() {
301            let content_length = content_length.to_string();
302            request_builder = _header_serialization_settings.set_default_header(request_builder, ::http_1x::header::CONTENT_LENGTH, &content_length);
303        }
304        ::std::result::Result::Ok(request_builder.body(body).expect("valid request").try_into().unwrap())
305    }
306}
307#[derive(Debug)]
308struct DescribeMLModelsEndpointParamsInterceptor;
309
310#[::aws_smithy_runtime_api::client::interceptors::dyn_dispatch_hint]
311impl ::aws_smithy_runtime_api::client::interceptors::Intercept for DescribeMLModelsEndpointParamsInterceptor {
312    fn name(&self) -> &'static str {
313        "DescribeMLModelsEndpointParamsInterceptor"
314    }
315
316    fn read_before_execution(
317        &self,
318        context: &::aws_smithy_runtime_api::client::interceptors::context::BeforeSerializationInterceptorContextRef<
319            '_,
320            ::aws_smithy_runtime_api::client::interceptors::context::Input,
321            ::aws_smithy_runtime_api::client::interceptors::context::Output,
322            ::aws_smithy_runtime_api::client::interceptors::context::Error,
323        >,
324        cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
325    ) -> ::std::result::Result<(), ::aws_smithy_runtime_api::box_error::BoxError> {
326        let _input = context
327            .input()
328            .downcast_ref::<DescribeMlModelsInput>()
329            .ok_or("failed to downcast to DescribeMlModelsInput")?;
330
331        let params = crate::config::endpoint::Params::builder()
332            .set_region(cfg.load::<::aws_types::region::Region>().map(|r| r.as_ref().to_owned()))
333            .set_use_dual_stack(cfg.load::<::aws_types::endpoint_config::UseDualStack>().map(|ty| ty.0))
334            .set_use_fips(cfg.load::<::aws_types::endpoint_config::UseFips>().map(|ty| ty.0))
335            .set_endpoint(cfg.load::<::aws_types::endpoint_config::EndpointUrl>().map(|ty| ty.0.clone()))
336            .build()
337            .map_err(|err| {
338                ::aws_smithy_runtime_api::client::interceptors::error::ContextAttachedError::new("endpoint params could not be built", err)
339            })?;
340        cfg.interceptor_state()
341            .store_put(::aws_smithy_runtime_api::client::endpoint::EndpointResolverParams::new(params));
342        ::std::result::Result::Ok(())
343    }
344}
345
346// The get_* functions below are generated from JMESPath expressions in the
347// operationContextParams trait. They target the operation's input shape.
348
349/// Error type for the `DescribeMLModelsError` operation.
350#[non_exhaustive]
351#[derive(::std::fmt::Debug)]
352pub enum DescribeMLModelsError {
353    /// <p>An error on the server occurred when trying to process a request.</p>
354    InternalServerException(crate::types::error::InternalServerException),
355    /// <p>An error on the client occurred. Typically, the cause is an invalid input value.</p>
356    InvalidInputException(crate::types::error::InvalidInputException),
357    /// An unexpected error occurred (e.g., invalid JSON returned by the service or an unknown error code).
358    #[deprecated(note = "Matching `Unhandled` directly is not forwards compatible. Instead, match using a \
359    variable wildcard pattern and check `.code()`:
360     \
361    &nbsp;&nbsp;&nbsp;`err if err.code() == Some(\"SpecificExceptionCode\") => { /* handle the error */ }`
362     \
363    See [`ProvideErrorMetadata`](#impl-ProvideErrorMetadata-for-DescribeMLModelsError) for what information is available for the error.")]
364    Unhandled(crate::error::sealed_unhandled::Unhandled),
365}
366impl DescribeMLModelsError {
367    /// Creates the `DescribeMLModelsError::Unhandled` variant from any error type.
368    pub fn unhandled(
369        err: impl ::std::convert::Into<::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>>,
370    ) -> Self {
371        Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
372            source: err.into(),
373            meta: ::std::default::Default::default(),
374        })
375    }
376
377    /// Creates the `DescribeMLModelsError::Unhandled` variant from an [`ErrorMetadata`](::aws_smithy_types::error::ErrorMetadata).
378    pub fn generic(err: ::aws_smithy_types::error::ErrorMetadata) -> Self {
379        Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
380            source: err.clone().into(),
381            meta: err,
382        })
383    }
384    ///
385    /// Returns error metadata, which includes the error code, message,
386    /// request ID, and potentially additional information.
387    ///
388    pub fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
389        match self {
390            Self::InternalServerException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
391            Self::InvalidInputException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
392            Self::Unhandled(e) => &e.meta,
393        }
394    }
395    /// Returns `true` if the error kind is `DescribeMLModelsError::InternalServerException`.
396    pub fn is_internal_server_exception(&self) -> bool {
397        matches!(self, Self::InternalServerException(_))
398    }
399    /// Returns `true` if the error kind is `DescribeMLModelsError::InvalidInputException`.
400    pub fn is_invalid_input_exception(&self) -> bool {
401        matches!(self, Self::InvalidInputException(_))
402    }
403}
404impl ::std::error::Error for DescribeMLModelsError {
405    fn source(&self) -> ::std::option::Option<&(dyn ::std::error::Error + 'static)> {
406        match self {
407            Self::InternalServerException(_inner) => ::std::option::Option::Some(_inner),
408            Self::InvalidInputException(_inner) => ::std::option::Option::Some(_inner),
409            Self::Unhandled(_inner) => ::std::option::Option::Some(&*_inner.source),
410        }
411    }
412}
413impl ::std::fmt::Display for DescribeMLModelsError {
414    fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
415        match self {
416            Self::InternalServerException(_inner) => _inner.fmt(f),
417            Self::InvalidInputException(_inner) => _inner.fmt(f),
418            Self::Unhandled(_inner) => {
419                if let ::std::option::Option::Some(code) = ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self) {
420                    write!(f, "unhandled error ({code})")
421                } else {
422                    f.write_str("unhandled error")
423                }
424            }
425        }
426    }
427}
428impl ::aws_smithy_types::retry::ProvideErrorKind for DescribeMLModelsError {
429    fn code(&self) -> ::std::option::Option<&str> {
430        ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self)
431    }
432    fn retryable_error_kind(&self) -> ::std::option::Option<::aws_smithy_types::retry::ErrorKind> {
433        ::std::option::Option::None
434    }
435}
436impl ::aws_smithy_types::error::metadata::ProvideErrorMetadata for DescribeMLModelsError {
437    fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
438        match self {
439            Self::InternalServerException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
440            Self::InvalidInputException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
441            Self::Unhandled(_inner) => &_inner.meta,
442        }
443    }
444}
445impl ::aws_smithy_runtime_api::client::result::CreateUnhandledError for DescribeMLModelsError {
446    fn create_unhandled_error(
447        source: ::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>,
448        meta: ::std::option::Option<::aws_smithy_types::error::ErrorMetadata>,
449    ) -> Self {
450        Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
451            source,
452            meta: meta.unwrap_or_default(),
453        })
454    }
455}
456impl ::aws_types::request_id::RequestId for crate::operation::describe_ml_models::DescribeMLModelsError {
457    fn request_id(&self) -> Option<&str> {
458        self.meta().request_id()
459    }
460}
461
462pub use crate::operation::describe_ml_models::_describe_ml_models_input::DescribeMlModelsInput;
463
464pub use crate::operation::describe_ml_models::_describe_ml_models_output::DescribeMlModelsOutput;
465
466mod _describe_ml_models_input;
467
468mod _describe_ml_models_output;
469
470/// Builders
471pub mod builders;
472
473/// Paginator for this operation
474pub mod paginator;
aws_sdk_machinelearning/operation/describe_ml_models.rs

aws_sdk_machinelearning/operation/
describe_ml_models.rs
