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
// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_dataset::_create_dataset_output::CreateDatasetOutputBuilder;

pub use crate::operation::create_dataset::_create_dataset_input::CreateDatasetInputBuilder;

/// Fluent builder constructing a request to `CreateDataset`.
///
/// <p>Creates an empty dataset and adds it to the specified dataset group. Use <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetImportJob.html">CreateDatasetImportJob</a> to import your training data to a dataset.</p>
/// <p>There are three types of datasets:</p>
/// <ul>
/// <li> <p>Interactions</p> </li>
/// <li> <p>Items</p> </li>
/// <li> <p>Users</p> </li>
/// </ul>
/// <p>Each dataset type has an associated schema with required field types. Only the <code>Interactions</code> dataset is required in order to train a model (also referred to as creating a solution).</p>
/// <p>A dataset can be in one of the following states:</p>
/// <ul>
/// <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li>
/// <li> <p>DELETE PENDING &gt; DELETE IN_PROGRESS</p> </li>
/// </ul>
/// <p>To get the status of the dataset, call <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a>.</p>
/// <p class="title"> <b>Related APIs</b> </p>
/// <ul>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetGroup.html">CreateDatasetGroup</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListDatasets.html">ListDatasets</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DeleteDataset.html">DeleteDataset</a> </p> </li>
/// </ul>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateDatasetFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_dataset::builders::CreateDatasetInputBuilder,
}
impl CreateDatasetFluentBuilder {
    /// Creates a new `CreateDataset`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
        }
    }
    // This function will go away in the near future. Do not rely on it.
    #[doc(hidden)]
    pub async fn customize_middleware(
        self,
    ) -> ::std::result::Result<
        crate::client::customize::CustomizableOperation<
            crate::operation::create_dataset::CreateDataset,
            ::aws_http::retry::AwsResponseRetryClassifier,
        >,
        ::aws_smithy_http::result::SdkError<crate::operation::create_dataset::CreateDatasetError>,
    > {
        let handle = self.handle.clone();
        let operation = self
            .inner
            .build()
            .map_err(::aws_smithy_http::result::SdkError::construction_failure)?
            .make_operation(&handle.conf)
            .await
            .map_err(::aws_smithy_http::result::SdkError::construction_failure)?;
        ::std::result::Result::Ok(crate::client::customize::CustomizableOperation {
            handle,
            operation,
        })
    }

    // This function will go away in the near future. Do not rely on it.
    #[doc(hidden)]
    pub async fn send_middleware(
        self,
    ) -> ::std::result::Result<
        crate::operation::create_dataset::CreateDatasetOutput,
        ::aws_smithy_http::result::SdkError<crate::operation::create_dataset::CreateDatasetError>,
    > {
        let op = self
            .inner
            .build()
            .map_err(::aws_smithy_http::result::SdkError::construction_failure)?
            .make_operation(&self.handle.conf)
            .await
            .map_err(::aws_smithy_http::result::SdkError::construction_failure)?;
        self.handle.client.call(op).await
    }
    /// 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_dataset::CreateDatasetOutput,
        ::aws_smithy_http::result::SdkError<crate::operation::create_dataset::CreateDatasetError>,
    > {
        self.send_middleware().await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being
    /// sent. The operation's inner [http::Request] can be modified as well.
    pub async fn customize(
        self,
    ) -> ::std::result::Result<
        crate::client::customize::CustomizableOperation<
            crate::operation::create_dataset::CreateDataset,
            ::aws_http::retry::AwsResponseRetryClassifier,
        >,
        ::aws_smithy_http::result::SdkError<crate::operation::create_dataset::CreateDatasetError>,
    > {
        self.customize_middleware().await
    }
    /// <p>The name for the dataset.</p>
    pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.name(input.into());
        self
    }
    /// <p>The name for the dataset.</p>
    pub fn set_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_name(input);
        self
    }
    /// <p>The ARN of the schema to associate with the dataset. The schema defines the dataset fields.</p>
    pub fn schema_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.schema_arn(input.into());
        self
    }
    /// <p>The ARN of the schema to associate with the dataset. The schema defines the dataset fields.</p>
    pub fn set_schema_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_schema_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the dataset group to add the dataset to.</p>
    pub fn dataset_group_arn(
        mut self,
        input: impl ::std::convert::Into<::std::string::String>,
    ) -> Self {
        self.inner = self.inner.dataset_group_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the dataset group to add the dataset to.</p>
    pub fn set_dataset_group_arn(
        mut self,
        input: ::std::option::Option<::std::string::String>,
    ) -> Self {
        self.inner = self.inner.set_dataset_group_arn(input);
        self
    }
    /// <p>The type of dataset.</p>
    /// <p>One of the following (case insensitive) values:</p>
    /// <ul>
    /// <li> <p>Interactions</p> </li>
    /// <li> <p>Items</p> </li>
    /// <li> <p>Users</p> </li>
    /// </ul>
    pub fn dataset_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.dataset_type(input.into());
        self
    }
    /// <p>The type of dataset.</p>
    /// <p>One of the following (case insensitive) values:</p>
    /// <ul>
    /// <li> <p>Interactions</p> </li>
    /// <li> <p>Items</p> </li>
    /// <li> <p>Users</p> </li>
    /// </ul>
    pub fn set_dataset_type(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_dataset_type(input);
        self
    }
    /// 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/dev/tagging-resources.html">tags</a> to apply to the dataset.</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/dev/tagging-resources.html">tags</a> to apply to the dataset.</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
    }
}