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
// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct CreateDatasetInput {
    /// <p>The name of the project in which you want to create a dataset.</p>
    pub project_name: ::std::option::Option<::std::string::String>,
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    pub dataset_type: ::std::option::Option<::std::string::String>,
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub dataset_source: ::std::option::Option<crate::types::DatasetSource>,
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub client_token: ::std::option::Option<::std::string::String>,
}
impl CreateDatasetInput {
    /// <p>The name of the project in which you want to create a dataset.</p>
    pub fn project_name(&self) -> ::std::option::Option<&str> {
        self.project_name.as_deref()
    }
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    pub fn dataset_type(&self) -> ::std::option::Option<&str> {
        self.dataset_type.as_deref()
    }
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub fn dataset_source(&self) -> ::std::option::Option<&crate::types::DatasetSource> {
        self.dataset_source.as_ref()
    }
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub fn client_token(&self) -> ::std::option::Option<&str> {
        self.client_token.as_deref()
    }
}
impl CreateDatasetInput {
    /// Creates a new builder-style object to manufacture [`CreateDatasetInput`](crate::operation::create_dataset::CreateDatasetInput).
    pub fn builder() -> crate::operation::create_dataset::builders::CreateDatasetInputBuilder {
        crate::operation::create_dataset::builders::CreateDatasetInputBuilder::default()
    }
}

/// A builder for [`CreateDatasetInput`](crate::operation::create_dataset::CreateDatasetInput).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct CreateDatasetInputBuilder {
    pub(crate) project_name: ::std::option::Option<::std::string::String>,
    pub(crate) dataset_type: ::std::option::Option<::std::string::String>,
    pub(crate) dataset_source: ::std::option::Option<crate::types::DatasetSource>,
    pub(crate) client_token: ::std::option::Option<::std::string::String>,
}
impl CreateDatasetInputBuilder {
    /// <p>The name of the project in which you want to create a dataset.</p>
    /// This field is required.
    pub fn project_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.project_name = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The name of the project in which you want to create a dataset.</p>
    pub fn set_project_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.project_name = input;
        self
    }
    /// <p>The name of the project in which you want to create a dataset.</p>
    pub fn get_project_name(&self) -> &::std::option::Option<::std::string::String> {
        &self.project_name
    }
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    /// This field is required.
    pub fn dataset_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.dataset_type = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    pub fn set_dataset_type(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.dataset_type = input;
        self
    }
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    pub fn get_dataset_type(&self) -> &::std::option::Option<::std::string::String> {
        &self.dataset_type
    }
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub fn dataset_source(mut self, input: crate::types::DatasetSource) -> Self {
        self.dataset_source = ::std::option::Option::Some(input);
        self
    }
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub fn set_dataset_source(mut self, input: ::std::option::Option<crate::types::DatasetSource>) -> Self {
        self.dataset_source = input;
        self
    }
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub fn get_dataset_source(&self) -> &::std::option::Option<crate::types::DatasetSource> {
        &self.dataset_source
    }
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub fn client_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.client_token = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub fn set_client_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.client_token = input;
        self
    }
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub fn get_client_token(&self) -> &::std::option::Option<::std::string::String> {
        &self.client_token
    }
    /// Consumes the builder and constructs a [`CreateDatasetInput`](crate::operation::create_dataset::CreateDatasetInput).
    pub fn build(
        self,
    ) -> ::std::result::Result<crate::operation::create_dataset::CreateDatasetInput, ::aws_smithy_types::error::operation::BuildError> {
        ::std::result::Result::Ok(crate::operation::create_dataset::CreateDatasetInput {
            project_name: self.project_name,
            dataset_type: self.dataset_type,
            dataset_source: self.dataset_source,
            client_token: self.client_token,
        })
    }
}