aws_sdk_machinelearning/waiters/
ml_model_available.rs

1// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
2
3///
4/// Fluent builder for the `ml_model_available` waiter.
5///
6/// This builder is intended to be used similar to the other fluent builders for
7/// normal operations on the client. However, instead of a `send` method, it has
8/// a `wait` method that takes a maximum amount of time to wait.
9///
10/// Construct this fluent builder using the client by importing the
11/// [`Waiters`](crate::client::Waiters) trait and calling the methods
12/// prefixed with `wait_until`.
13///
14#[derive(::std::clone::Clone, ::std::fmt::Debug)]
15pub struct MlModelAvailableFluentBuilder {
16    handle: ::std::sync::Arc<crate::client::Handle>,
17    inner: crate::operation::describe_ml_models::builders::DescribeMlModelsInputBuilder,
18}
19impl MlModelAvailableFluentBuilder {
20    /// Creates a new `MlModelAvailableFluentBuilder`.
21    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
22        Self {
23            handle,
24            inner: ::std::default::Default::default(),
25        }
26    }
27    /// Access the DescribeMLModels as a reference.
28    pub fn as_input(&self) -> &crate::operation::describe_ml_models::builders::DescribeMlModelsInputBuilder {
29        &self.inner
30    }
31    /// Wait for `ml_model_available`
32    pub async fn wait(
33        self,
34        max_wait: ::std::time::Duration,
35    ) -> ::std::result::Result<
36        crate::waiters::ml_model_available::MlModelAvailableFinalPoll,
37        crate::waiters::ml_model_available::WaitUntilMlModelAvailableError,
38    > {
39        let input = self
40            .inner
41            .build()
42            .map_err(::aws_smithy_runtime_api::client::waiters::error::WaiterError::construction_failure)?;
43        let runtime_plugins = crate::operation::describe_ml_models::DescribeMLModels::operation_runtime_plugins(
44            self.handle.runtime_plugins.clone(),
45            &self.handle.conf,
46            ::std::option::Option::None,
47        )
48        .with_operation_plugin(crate::sdk_feature_tracker::waiter::WaiterFeatureTrackerRuntimePlugin::new());
49        let mut cfg = ::aws_smithy_types::config_bag::ConfigBag::base();
50        let runtime_components_builder = runtime_plugins
51            .apply_client_configuration(&mut cfg)
52            .map_err(::aws_smithy_runtime_api::client::waiters::error::WaiterError::construction_failure)?;
53        let time_components = runtime_components_builder.into_time_components();
54        let sleep_impl = time_components.sleep_impl().expect("a sleep impl is required by waiters");
55        let time_source = time_components.time_source().expect("a time source is required by waiters");
56
57        let acceptor = move |result: ::std::result::Result<
58            &crate::operation::describe_ml_models::DescribeMlModelsOutput,
59            &crate::operation::describe_ml_models::DescribeMLModelsError,
60        >| {
61            // Matches: {"output":{"path":"Results[].Status","expected":"COMPLETED","comparator":"allStringEquals"}}
62            if crate::waiters::matchers::match_describe_ml_models_147c4749b8435ead2(result) {
63                return ::aws_smithy_runtime::client::waiters::AcceptorState::Success;
64            }
65            // Matches: {"output":{"path":"Results[].Status","expected":"FAILED","comparator":"anyStringEquals"}}
66            if crate::waiters::matchers::match_describe_ml_models_772ab1725e6b52e57(result) {
67                return ::aws_smithy_runtime::client::waiters::AcceptorState::Failure;
68            }
69            ::aws_smithy_runtime::client::waiters::AcceptorState::NoAcceptorsMatched
70        };
71        let operation = move || {
72            let input = input.clone();
73            let runtime_plugins = runtime_plugins.clone();
74            async move { crate::operation::describe_ml_models::DescribeMLModels::orchestrate(&runtime_plugins, input).await }
75        };
76        let orchestrator = ::aws_smithy_runtime::client::waiters::WaiterOrchestrator::builder()
77            .min_delay(::std::time::Duration::from_secs(30))
78            .max_delay(::std::time::Duration::from_secs(120))
79            .max_wait(max_wait)
80            .time_source(time_source)
81            .sleep_impl(sleep_impl)
82            .acceptor(acceptor)
83            .operation(operation)
84            .build();
85        ::aws_smithy_runtime::client::waiters::attach_waiter_tracing_span(orchestrator.orchestrate()).await
86    }
87    /// <p>Use one of the following variables to filter a list of <code>MLModel</code>:</p>
88    /// <ul>
89    /// <li>
90    /// <p><code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.</p></li>
91    /// <li>
92    /// <p><code>Status</code> - Sets the search criteria to <code>MLModel</code> status.</p></li>
93    /// <li>
94    /// <p><code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.</p></li>
95    /// <li>
96    /// <p><code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code> creation.</p></li>
97    /// <li>
98    /// <p><code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or more <code>MLModel</code>.</p></li>
99    /// <li>
100    /// <p><code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint status.</p></li>
101    /// <li>
102    /// <p><code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or multi-class.</p></li>
103    /// <li>
104    /// <p><code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.</p></li>
105    /// <li>
106    /// <p><code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.</p></li>
107    /// </ul>
108    pub fn filter_variable(mut self, input: crate::types::MlModelFilterVariable) -> Self {
109        self.inner = self.inner.filter_variable(input);
110        self
111    }
112    /// <p>Use one of the following variables to filter a list of <code>MLModel</code>:</p>
113    /// <ul>
114    /// <li>
115    /// <p><code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.</p></li>
116    /// <li>
117    /// <p><code>Status</code> - Sets the search criteria to <code>MLModel</code> status.</p></li>
118    /// <li>
119    /// <p><code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.</p></li>
120    /// <li>
121    /// <p><code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code> creation.</p></li>
122    /// <li>
123    /// <p><code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or more <code>MLModel</code>.</p></li>
124    /// <li>
125    /// <p><code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint status.</p></li>
126    /// <li>
127    /// <p><code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or multi-class.</p></li>
128    /// <li>
129    /// <p><code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.</p></li>
130    /// <li>
131    /// <p><code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.</p></li>
132    /// </ul>
133    pub fn set_filter_variable(mut self, input: ::std::option::Option<crate::types::MlModelFilterVariable>) -> Self {
134        self.inner = self.inner.set_filter_variable(input);
135        self
136    }
137    /// <p>Use one of the following variables to filter a list of <code>MLModel</code>:</p>
138    /// <ul>
139    /// <li>
140    /// <p><code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.</p></li>
141    /// <li>
142    /// <p><code>Status</code> - Sets the search criteria to <code>MLModel</code> status.</p></li>
143    /// <li>
144    /// <p><code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.</p></li>
145    /// <li>
146    /// <p><code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code> creation.</p></li>
147    /// <li>
148    /// <p><code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or more <code>MLModel</code>.</p></li>
149    /// <li>
150    /// <p><code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint status.</p></li>
151    /// <li>
152    /// <p><code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or multi-class.</p></li>
153    /// <li>
154    /// <p><code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.</p></li>
155    /// <li>
156    /// <p><code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.</p></li>
157    /// </ul>
158    pub fn get_filter_variable(&self) -> &::std::option::Option<crate::types::MlModelFilterVariable> {
159        self.inner.get_filter_variable()
160    }
161    /// <p>The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>.</p>
162    pub fn eq(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
163        self.inner = self.inner.eq(input.into());
164        self
165    }
166    /// <p>The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>.</p>
167    pub fn set_eq(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
168        self.inner = self.inner.set_eq(input);
169        self
170    }
171    /// <p>The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>.</p>
172    pub fn get_eq(&self) -> &::std::option::Option<::std::string::String> {
173        self.inner.get_eq()
174    }
175    /// <p>The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>.</p>
176    pub fn gt(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
177        self.inner = self.inner.gt(input.into());
178        self
179    }
180    /// <p>The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>.</p>
181    pub fn set_gt(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
182        self.inner = self.inner.set_gt(input);
183        self
184    }
185    /// <p>The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>.</p>
186    pub fn get_gt(&self) -> &::std::option::Option<::std::string::String> {
187        self.inner.get_gt()
188    }
189    /// <p>The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>.</p>
190    pub fn lt(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
191        self.inner = self.inner.lt(input.into());
192        self
193    }
194    /// <p>The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>.</p>
195    pub fn set_lt(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
196        self.inner = self.inner.set_lt(input);
197        self
198    }
199    /// <p>The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>.</p>
200    pub fn get_lt(&self) -> &::std::option::Option<::std::string::String> {
201        self.inner.get_lt()
202    }
203    /// <p>The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>.</p>
204    pub fn ge(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
205        self.inner = self.inner.ge(input.into());
206        self
207    }
208    /// <p>The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>.</p>
209    pub fn set_ge(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
210        self.inner = self.inner.set_ge(input);
211        self
212    }
213    /// <p>The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>.</p>
214    pub fn get_ge(&self) -> &::std::option::Option<::std::string::String> {
215        self.inner.get_ge()
216    }
217    /// <p>The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>.</p>
218    pub fn le(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
219        self.inner = self.inner.le(input.into());
220        self
221    }
222    /// <p>The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>.</p>
223    pub fn set_le(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
224        self.inner = self.inner.set_le(input);
225        self
226    }
227    /// <p>The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>.</p>
228    pub fn get_le(&self) -> &::std::option::Option<::std::string::String> {
229        self.inner.get_le()
230    }
231    /// <p>The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>.</p>
232    pub fn ne(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
233        self.inner = self.inner.ne(input.into());
234        self
235    }
236    /// <p>The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>.</p>
237    pub fn set_ne(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
238        self.inner = self.inner.set_ne(input);
239        self
240    }
241    /// <p>The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>.</p>
242    pub fn get_ne(&self) -> &::std::option::Option<::std::string::String> {
243        self.inner.get_ne()
244    }
245    /// <p>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.</p>
246    /// <p>For example, an <code>MLModel</code> could have the <code>Name</code> <code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>:</p>
247    /// <ul>
248    /// <li>
249    /// <p>2014-09</p></li>
250    /// <li>
251    /// <p>2014-09-09</p></li>
252    /// <li>
253    /// <p>2014-09-09-Holiday</p></li>
254    /// </ul>
255    pub fn prefix(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
256        self.inner = self.inner.prefix(input.into());
257        self
258    }
259    /// <p>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.</p>
260    /// <p>For example, an <code>MLModel</code> could have the <code>Name</code> <code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>:</p>
261    /// <ul>
262    /// <li>
263    /// <p>2014-09</p></li>
264    /// <li>
265    /// <p>2014-09-09</p></li>
266    /// <li>
267    /// <p>2014-09-09-Holiday</p></li>
268    /// </ul>
269    pub fn set_prefix(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
270        self.inner = self.inner.set_prefix(input);
271        self
272    }
273    /// <p>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.</p>
274    /// <p>For example, an <code>MLModel</code> could have the <code>Name</code> <code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>:</p>
275    /// <ul>
276    /// <li>
277    /// <p>2014-09</p></li>
278    /// <li>
279    /// <p>2014-09-09</p></li>
280    /// <li>
281    /// <p>2014-09-09-Holiday</p></li>
282    /// </ul>
283    pub fn get_prefix(&self) -> &::std::option::Option<::std::string::String> {
284        self.inner.get_prefix()
285    }
286    /// <p>A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
287    /// <ul>
288    /// <li>
289    /// <p><code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).</p></li>
290    /// <li>
291    /// <p><code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).</p></li>
292    /// </ul>
293    /// <p>Results are sorted by <code>FilterVariable</code>.</p>
294    pub fn sort_order(mut self, input: crate::types::SortOrder) -> Self {
295        self.inner = self.inner.sort_order(input);
296        self
297    }
298    /// <p>A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
299    /// <ul>
300    /// <li>
301    /// <p><code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).</p></li>
302    /// <li>
303    /// <p><code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).</p></li>
304    /// </ul>
305    /// <p>Results are sorted by <code>FilterVariable</code>.</p>
306    pub fn set_sort_order(mut self, input: ::std::option::Option<crate::types::SortOrder>) -> Self {
307        self.inner = self.inner.set_sort_order(input);
308        self
309    }
310    /// <p>A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
311    /// <ul>
312    /// <li>
313    /// <p><code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).</p></li>
314    /// <li>
315    /// <p><code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).</p></li>
316    /// </ul>
317    /// <p>Results are sorted by <code>FilterVariable</code>.</p>
318    pub fn get_sort_order(&self) -> &::std::option::Option<crate::types::SortOrder> {
319        self.inner.get_sort_order()
320    }
321    /// <p>The ID of the page in the paginated results.</p>
322    pub fn next_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
323        self.inner = self.inner.next_token(input.into());
324        self
325    }
326    /// <p>The ID of the page in the paginated results.</p>
327    pub fn set_next_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
328        self.inner = self.inner.set_next_token(input);
329        self
330    }
331    /// <p>The ID of the page in the paginated results.</p>
332    pub fn get_next_token(&self) -> &::std::option::Option<::std::string::String> {
333        self.inner.get_next_token()
334    }
335    /// <p>The number of pages of information to include in the result. The range of acceptable values is <code>1</code> through <code>100</code>. The default value is <code>100</code>.</p>
336    pub fn limit(mut self, input: i32) -> Self {
337        self.inner = self.inner.limit(input);
338        self
339    }
340    /// <p>The number of pages of information to include in the result. The range of acceptable values is <code>1</code> through <code>100</code>. The default value is <code>100</code>.</p>
341    pub fn set_limit(mut self, input: ::std::option::Option<i32>) -> Self {
342        self.inner = self.inner.set_limit(input);
343        self
344    }
345    /// <p>The number of pages of information to include in the result. The range of acceptable values is <code>1</code> through <code>100</code>. The default value is <code>100</code>.</p>
346    pub fn get_limit(&self) -> &::std::option::Option<i32> {
347        self.inner.get_limit()
348    }
349}
350
351/// Successful return type for the `ml_model_available` waiter.
352pub type MlModelAvailableFinalPoll = ::aws_smithy_runtime_api::client::waiters::FinalPoll<
353    crate::operation::describe_ml_models::DescribeMlModelsOutput,
354    ::aws_smithy_runtime_api::client::result::SdkError<
355        crate::operation::describe_ml_models::DescribeMLModelsError,
356        ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
357    >,
358>;
359
360/// Error type for the `ml_model_available` waiter.
361pub type WaitUntilMlModelAvailableError = ::aws_smithy_runtime_api::client::waiters::error::WaiterError<
362    crate::operation::describe_ml_models::DescribeMlModelsOutput,
363    crate::operation::describe_ml_models::DescribeMLModelsError,
364>;