Struct ListUtteranceMetricsInput 

#[non_exhaustive]
pub struct ListUtteranceMetricsInput {
    pub bot_id: Option<String>,
    pub start_date_time: Option<DateTime>,
    pub end_date_time: Option<DateTime>,
    pub metrics: Option<Vec<AnalyticsUtteranceMetric>>,
    pub bin_by: Option<Vec<AnalyticsBinBySpecification>>,
    pub group_by: Option<Vec<AnalyticsUtteranceGroupBySpecification>>,
    pub attributes: Option<Vec<AnalyticsUtteranceAttribute>>,
    pub filters: Option<Vec<AnalyticsUtteranceFilter>>,
    pub max_results: Option<i32>,
    pub next_token: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

bot_id: Option<String>

The identifier for the bot for which you want to retrieve utterance metrics.

start_date_time: Option<DateTime>

The date and time that marks the beginning of the range of time for which you want to see utterance metrics.

end_date_time: Option<DateTime>

The date and time that marks the end of the range of time for which you want to see utterance metrics.

metrics: Option<Vec<AnalyticsUtteranceMetric>>

A list of objects, each of which contains a metric you want to list, the statistic for the metric you want to return, and the method by which to organize the results.

bin_by: Option<Vec<AnalyticsBinBySpecification>>

A list of objects, each of which contains specifications for organizing the results by time.

group_by: Option<Vec<AnalyticsUtteranceGroupBySpecification>>

A list of objects, each of which specifies how to group the results. You can group by the following criteria:

• UtteranceText – The transcription of the utterance.

• UtteranceState – The state of the utterance. The possible states are detailed in Key definitions in the user guide.

attributes: Option<Vec<AnalyticsUtteranceAttribute>>

A list containing attributes related to the utterance that you want the response to return. The following attributes are possible:

• LastUsedIntent – The last used intent at the time of the utterance.

filters: Option<Vec<AnalyticsUtteranceFilter>>

A list of objects, each of which describes a condition by which you want to filter the results.

max_results: Option<i32>

The maximum number of results to return in each page of results. If there are fewer results than the maximum page size, only the actual number of results are returned.

next_token: Option<String>

If the response from the ListUtteranceMetrics operation contains more results than specified in the maxResults parameter, a token is returned in the response.

Use the returned token in the nextToken parameter of a ListUtteranceMetrics request to return the next page of results. For a complete set of results, call the ListUtteranceMetrics operation until the nextToken returned in the response is null.

Implementations

impl ListUtteranceMetricsInput

pub fn bot_id(&self) -> Option<&str>

The identifier for the bot for which you want to retrieve utterance metrics.

pub fn start_date_time(&self) -> Option<&DateTime>

The date and time that marks the beginning of the range of time for which you want to see utterance metrics.

pub fn end_date_time(&self) -> Option<&DateTime>

The date and time that marks the end of the range of time for which you want to see utterance metrics.

pub fn metrics(&self) -> &[AnalyticsUtteranceMetric]

A list of objects, each of which contains a metric you want to list, the statistic for the metric you want to return, and the method by which to organize the results.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .metrics.is_none().

pub fn bin_by(&self) -> &[AnalyticsBinBySpecification]

A list of objects, each of which contains specifications for organizing the results by time.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .bin_by.is_none().

pub fn group_by(&self) -> &[AnalyticsUtteranceGroupBySpecification]

A list of objects, each of which specifies how to group the results. You can group by the following criteria:

• UtteranceText – The transcription of the utterance.

• UtteranceState – The state of the utterance. The possible states are detailed in Key definitions in the user guide.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .group_by.is_none().

pub fn attributes(&self) -> &[AnalyticsUtteranceAttribute]

A list containing attributes related to the utterance that you want the response to return. The following attributes are possible:

• LastUsedIntent – The last used intent at the time of the utterance.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .attributes.is_none().

pub fn filters(&self) -> &[AnalyticsUtteranceFilter]

A list of objects, each of which describes a condition by which you want to filter the results.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .filters.is_none().

pub fn max_results(&self) -> Option<i32>

The maximum number of results to return in each page of results. If there are fewer results than the maximum page size, only the actual number of results are returned.

pub fn next_token(&self) -> Option<&str>

If the response from the ListUtteranceMetrics operation contains more results than specified in the maxResults parameter, a token is returned in the response.

Use the returned token in the nextToken parameter of a ListUtteranceMetrics request to return the next page of results. For a complete set of results, call the ListUtteranceMetrics operation until the nextToken returned in the response is null.

impl ListUtteranceMetricsInput

pub fn builder() -> ListUtteranceMetricsInputBuilder

Creates a new builder-style object to manufacture ListUtteranceMetricsInput.

Trait Implementations

impl Clone for ListUtteranceMetricsInput

fn clone(&self) -> ListUtteranceMetricsInput

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ListUtteranceMetricsInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for ListUtteranceMetricsInput

fn eq(&self, other: &ListUtteranceMetricsInput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ListUtteranceMetricsInput