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
// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_what_if_forecast::_create_what_if_forecast_input::CreateWhatIfForecastInputBuilder;
pub use crate::operation::create_what_if_forecast::_create_what_if_forecast_output::CreateWhatIfForecastOutputBuilder;
impl crate::operation::create_what_if_forecast::builders::CreateWhatIfForecastInputBuilder {
/// 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_what_if_forecast::CreateWhatIfForecastOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_what_if_forecast::CreateWhatIfForecastError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_what_if_forecast();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateWhatIfForecast`.
///
/// <p>A what-if forecast is a forecast that is created from a modified version of the baseline forecast. Each what-if forecast incorporates either a replacement dataset or a set of transformations to the original dataset.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateWhatIfForecastFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_what_if_forecast::builders::CreateWhatIfForecastInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_what_if_forecast::CreateWhatIfForecastOutput,
crate::operation::create_what_if_forecast::CreateWhatIfForecastError,
> for CreateWhatIfForecastFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_what_if_forecast::CreateWhatIfForecastOutput,
crate::operation::create_what_if_forecast::CreateWhatIfForecastError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateWhatIfForecastFluentBuilder {
/// Creates a new `CreateWhatIfForecastFluentBuilder`.
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 CreateWhatIfForecast as a reference.
pub fn as_input(&self) -> &crate::operation::create_what_if_forecast::builders::CreateWhatIfForecastInputBuilder {
&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_what_if_forecast::CreateWhatIfForecastOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_what_if_forecast::CreateWhatIfForecastError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let input = self
.inner
.build()
.map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
let runtime_plugins = crate::operation::create_what_if_forecast::CreateWhatIfForecast::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_what_if_forecast::CreateWhatIfForecast::orchestrate(&runtime_plugins, input).await
}
/// Consumes this builder, creating a customizable operation that can be modified before being sent.
pub fn customize(
self,
) -> crate::client::customize::CustomizableOperation<
crate::operation::create_what_if_forecast::CreateWhatIfForecastOutput,
crate::operation::create_what_if_forecast::CreateWhatIfForecastError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
self.set_config_override(::std::option::Option::Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>The name of the what-if forecast. Names must be unique within each what-if analysis.</p>
pub fn what_if_forecast_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.what_if_forecast_name(input.into());
self
}
/// <p>The name of the what-if forecast. Names must be unique within each what-if analysis.</p>
pub fn set_what_if_forecast_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_what_if_forecast_name(input);
self
}
/// <p>The name of the what-if forecast. Names must be unique within each what-if analysis.</p>
pub fn get_what_if_forecast_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_what_if_forecast_name()
}
/// <p>The Amazon Resource Name (ARN) of the what-if analysis.</p>
pub fn what_if_analysis_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.what_if_analysis_arn(input.into());
self
}
/// <p>The Amazon Resource Name (ARN) of the what-if analysis.</p>
pub fn set_what_if_analysis_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_what_if_analysis_arn(input);
self
}
/// <p>The Amazon Resource Name (ARN) of the what-if analysis.</p>
pub fn get_what_if_analysis_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_what_if_analysis_arn()
}
///
/// Appends an item to `TimeSeriesTransformations`.
///
/// To override the contents of this collection use [`set_time_series_transformations`](Self::set_time_series_transformations).
///
/// <p>The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.</p>
pub fn time_series_transformations(mut self, input: crate::types::TimeSeriesTransformation) -> Self {
self.inner = self.inner.time_series_transformations(input);
self
}
/// <p>The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.</p>
pub fn set_time_series_transformations(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::TimeSeriesTransformation>>) -> Self {
self.inner = self.inner.set_time_series_transformations(input);
self
}
/// <p>The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.</p>
pub fn get_time_series_transformations(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::TimeSeriesTransformation>> {
self.inner.get_time_series_transformations()
}
/// <p>The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast.</p>
/// <p>This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.</p>
/// <p>This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.</p>
/// <p>Timestamps and item_ids not included in this dataset are not included in the what-if analysis.</p>
pub fn time_series_replacements_data_source(mut self, input: crate::types::TimeSeriesReplacementsDataSource) -> Self {
self.inner = self.inner.time_series_replacements_data_source(input);
self
}
/// <p>The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast.</p>
/// <p>This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.</p>
/// <p>This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.</p>
/// <p>Timestamps and item_ids not included in this dataset are not included in the what-if analysis.</p>
pub fn set_time_series_replacements_data_source(mut self, input: ::std::option::Option<crate::types::TimeSeriesReplacementsDataSource>) -> Self {
self.inner = self.inner.set_time_series_replacements_data_source(input);
self
}
/// <p>The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast.</p>
/// <p>This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.</p>
/// <p>This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.</p>
/// <p>Timestamps and item_ids not included in this dataset are not included in the what-if analysis.</p>
pub fn get_time_series_replacements_data_source(&self) -> &::std::option::Option<crate::types::TimeSeriesReplacementsDataSource> {
self.inner.get_time_series_replacements_data_source()
}
///
/// 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/forecast/latest/dg/tagging-forecast-resources.html">tags</a> to apply to the what if forecast.</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/forecast/latest/dg/tagging-forecast-resources.html">tags</a> to apply to the what if forecast.</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/forecast/latest/dg/tagging-forecast-resources.html">tags</a> to apply to the what if forecast.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
}