1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_batch_inference_job::_create_batch_inference_job_output::CreateBatchInferenceJobOutputBuilder;

pub use crate::operation::create_batch_inference_job::_create_batch_inference_job_input::CreateBatchInferenceJobInputBuilder;

impl CreateBatchInferenceJobInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::create_batch_inference_job::CreateBatchInferenceJobOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::create_batch_inference_job::CreateBatchInferenceJobError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_batch_inference_job();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateBatchInferenceJob`.
///
/// <p>Creates a batch inference job. The operation can handle up to 50 million records and the input file must be in JSON format. For more information, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/creating-batch-inference-job.html">Creating a batch inference job</a>. </p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateBatchInferenceJobFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_batch_inference_job::builders::CreateBatchInferenceJobInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl CreateBatchInferenceJobFluentBuilder {
    /// Creates a new `CreateBatchInferenceJob`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
            config_override: ::std::option::Option::None,
        }
    }
    /// Access the CreateBatchInferenceJob as a reference.
    pub fn as_input(&self) -> &crate::operation::create_batch_inference_job::builders::CreateBatchInferenceJobInputBuilder {
        &self.inner
    }
    /// Sends the request and returns the response.
    ///
    /// If an error occurs, an `SdkError` will be returned with additional details that
    /// can be matched against.
    ///
    /// By default, any retryable failures will be retried twice. Retry behavior
    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
    /// set when configuring the client.
    pub async fn send(
        self,
    ) -> ::std::result::Result<
        crate::operation::create_batch_inference_job::CreateBatchInferenceJobOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::create_batch_inference_job::CreateBatchInferenceJobError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self.inner.build().map_err(::aws_smithy_http::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::create_batch_inference_job::CreateBatchInferenceJob::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_batch_inference_job::CreateBatchInferenceJob::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being
    /// sent.
    // TODO(enableNewSmithyRuntimeCleanup): Remove `async` and `Result` once we switch to orchestrator
    pub async fn customize(
        self,
    ) -> ::std::result::Result<
        crate::client::customize::orchestrator::CustomizableOperation<
            crate::operation::create_batch_inference_job::CreateBatchInferenceJobOutput,
            crate::operation::create_batch_inference_job::CreateBatchInferenceJobError,
        >,
        ::aws_smithy_http::result::SdkError<crate::operation::create_batch_inference_job::CreateBatchInferenceJobError>,
    > {
        ::std::result::Result::Ok(crate::client::customize::orchestrator::CustomizableOperation {
            customizable_send: ::std::boxed::Box::new(move |config_override| {
                ::std::boxed::Box::pin(async { self.config_override(config_override).send().await })
            }),
            config_override: None,
            interceptors: vec![],
            runtime_plugins: vec![],
        })
    }
    pub(crate) fn config_override(mut self, config_override: impl Into<crate::config::Builder>) -> Self {
        self.set_config_override(Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>The name of the batch inference job to create.</p>
    pub fn job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.job_name(input.into());
        self
    }
    /// <p>The name of the batch inference job to create.</p>
    pub fn set_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_job_name(input);
        self
    }
    /// <p>The name of the batch inference job to create.</p>
    pub fn get_job_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_job_name()
    }
    /// <p>The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations.</p>
    pub fn solution_version_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.solution_version_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations.</p>
    pub fn set_solution_version_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_solution_version_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations.</p>
    pub fn get_solution_version_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_solution_version_arn()
    }
    /// <p>The ARN of the filter to apply to the batch inference job. For more information on using filters, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/filter-batch.html">Filtering batch recommendations</a>.</p>
    pub fn filter_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.filter_arn(input.into());
        self
    }
    /// <p>The ARN of the filter to apply to the batch inference job. For more information on using filters, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/filter-batch.html">Filtering batch recommendations</a>.</p>
    pub fn set_filter_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_filter_arn(input);
        self
    }
    /// <p>The ARN of the filter to apply to the batch inference job. For more information on using filters, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/filter-batch.html">Filtering batch recommendations</a>.</p>
    pub fn get_filter_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_filter_arn()
    }
    /// <p>The number of recommendations to retrieve.</p>
    pub fn num_results(mut self, input: i32) -> Self {
        self.inner = self.inner.num_results(input);
        self
    }
    /// <p>The number of recommendations to retrieve.</p>
    pub fn set_num_results(mut self, input: ::std::option::Option<i32>) -> Self {
        self.inner = self.inner.set_num_results(input);
        self
    }
    /// <p>The number of recommendations to retrieve.</p>
    pub fn get_num_results(&self) -> &::std::option::Option<i32> {
        self.inner.get_num_results()
    }
    /// <p>The Amazon S3 path that leads to the input file to base your recommendations on. The input material must be in JSON format.</p>
    pub fn job_input(mut self, input: crate::types::BatchInferenceJobInput) -> Self {
        self.inner = self.inner.job_input(input);
        self
    }
    /// <p>The Amazon S3 path that leads to the input file to base your recommendations on. The input material must be in JSON format.</p>
    pub fn set_job_input(mut self, input: ::std::option::Option<crate::types::BatchInferenceJobInput>) -> Self {
        self.inner = self.inner.set_job_input(input);
        self
    }
    /// <p>The Amazon S3 path that leads to the input file to base your recommendations on. The input material must be in JSON format.</p>
    pub fn get_job_input(&self) -> &::std::option::Option<crate::types::BatchInferenceJobInput> {
        self.inner.get_job_input()
    }
    /// <p>The path to the Amazon S3 bucket where the job's output will be stored.</p>
    pub fn job_output(mut self, input: crate::types::BatchInferenceJobOutput) -> Self {
        self.inner = self.inner.job_output(input);
        self
    }
    /// <p>The path to the Amazon S3 bucket where the job's output will be stored.</p>
    pub fn set_job_output(mut self, input: ::std::option::Option<crate::types::BatchInferenceJobOutput>) -> Self {
        self.inner = self.inner.set_job_output(input);
        self
    }
    /// <p>The path to the Amazon S3 bucket where the job's output will be stored.</p>
    pub fn get_job_output(&self) -> &::std::option::Option<crate::types::BatchInferenceJobOutput> {
        self.inner.get_job_output()
    }
    /// <p>The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.</p>
    pub fn role_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.role_arn(input.into());
        self
    }
    /// <p>The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.</p>
    pub fn set_role_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_role_arn(input);
        self
    }
    /// <p>The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.</p>
    pub fn get_role_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_role_arn()
    }
    /// <p>The configuration details of a batch inference job.</p>
    pub fn batch_inference_job_config(mut self, input: crate::types::BatchInferenceJobConfig) -> Self {
        self.inner = self.inner.batch_inference_job_config(input);
        self
    }
    /// <p>The configuration details of a batch inference job.</p>
    pub fn set_batch_inference_job_config(mut self, input: ::std::option::Option<crate::types::BatchInferenceJobConfig>) -> Self {
        self.inner = self.inner.set_batch_inference_job_config(input);
        self
    }
    /// <p>The configuration details of a batch inference job.</p>
    pub fn get_batch_inference_job_config(&self) -> &::std::option::Option<crate::types::BatchInferenceJobConfig> {
        self.inner.get_batch_inference_job_config()
    }
    /// Appends an item to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the batch inference job.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the batch inference job.</p>
    pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
        self.inner = self.inner.set_tags(input);
        self
    }
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the batch inference job.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
}