Struct InputDataConfig 

#[non_exhaustive]
pub struct InputDataConfig {
    pub input_data_source_type: InputDataSourceType,
    pub start_time: Option<Timestamp>,
    pub end_time: Option<Timestamp>,
    pub sample_size: i32,
    pub is_summary_generation_allowed: bool,
    pub summary_generation_option: SummaryGenerationOption,
    pub source_specific_config: Option<SourceSpecificConfig>,
    /* private fields */
}

Available on crate feature generator-evaluations only.

Input data config details

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.

input_data_source_type: InputDataSourceType

👎Deprecated

Required. The source type of input data.

start_time: Option<Timestamp>

👎Deprecated

Optional. The start timestamp to fetch conversation data.

end_time: Option<Timestamp>

👎Deprecated

Optional. The end timestamp to fetch conversation data.

sample_size: i32

Optional. Desired number of conversation-summary pairs to be evaluated.

is_summary_generation_allowed: bool

👎Deprecated

Optional. Whether the summary generation is allowed when the pre-existing qualified summaries are insufficient to cover the sample size.

summary_generation_option: SummaryGenerationOption

Optional. Option to control whether summaries are generated during evaluation.

source_specific_config: Option<SourceSpecificConfig>

The source specific config for the input data.

Implementations

impl InputDataConfig

pub fn new() -> Self

pub fn set_input_data_source_type<T: Into<InputDataSourceType>>( self, v: T, ) -> Self

👎Deprecated

Sets the value of input_data_source_type.

Example

use google_cloud_dialogflow_v2::model::generator_evaluation_config::InputDataSourceType;
let x0 = InputDataConfig::new().set_input_data_source_type(InputDataSourceType::AgentAssistConversations);
let x1 = InputDataConfig::new().set_input_data_source_type(InputDataSourceType::InsightsConversations);

pub fn set_start_time<T>(self, v: T) -> Self

where T: Into<Timestamp>,

👎Deprecated

Sets the value of start_time.

Example

use wkt::Timestamp;
let x = InputDataConfig::new().set_start_time(Timestamp::default()/* use setters */);

pub fn set_or_clear_start_time<T>(self, v: Option<T>) -> Self

where T: Into<Timestamp>,

👎Deprecated

Sets or clears the value of start_time.

Example

use wkt::Timestamp;
let x = InputDataConfig::new().set_or_clear_start_time(Some(Timestamp::default()/* use setters */));
let x = InputDataConfig::new().set_or_clear_start_time(None::<Timestamp>);

pub fn set_end_time<T>(self, v: T) -> Self

where T: Into<Timestamp>,

👎Deprecated

Sets the value of end_time.

Example

use wkt::Timestamp;
let x = InputDataConfig::new().set_end_time(Timestamp::default()/* use setters */);

pub fn set_or_clear_end_time<T>(self, v: Option<T>) -> Self

where T: Into<Timestamp>,

👎Deprecated

Sets or clears the value of end_time.

Example

use wkt::Timestamp;
let x = InputDataConfig::new().set_or_clear_end_time(Some(Timestamp::default()/* use setters */));
let x = InputDataConfig::new().set_or_clear_end_time(None::<Timestamp>);

pub fn set_sample_size<T: Into<i32>>(self, v: T) -> Self

Sets the value of sample_size.

Example

let x = InputDataConfig::new().set_sample_size(42);

pub fn set_is_summary_generation_allowed<T: Into<bool>>(self, v: T) -> Self

👎Deprecated

Sets the value of is_summary_generation_allowed.

Example

let x = InputDataConfig::new().set_is_summary_generation_allowed(true);

pub fn set_summary_generation_option<T: Into<SummaryGenerationOption>>( self, v: T, ) -> Self

Sets the value of summary_generation_option.

Example

use google_cloud_dialogflow_v2::model::generator_evaluation_config::input_data_config::SummaryGenerationOption;
let x0 = InputDataConfig::new().set_summary_generation_option(SummaryGenerationOption::AlwaysGenerate);
let x1 = InputDataConfig::new().set_summary_generation_option(SummaryGenerationOption::GenerateIfMissing);
let x2 = InputDataConfig::new().set_summary_generation_option(SummaryGenerationOption::DoNotGenerate);

pub fn set_source_specific_config<T: Into<Option<SourceSpecificConfig>>>( self, v: T, ) -> Self

Sets the value of source_specific_config.

Note that all the setters affecting source_specific_config are mutually exclusive.

Example

use google_cloud_dialogflow_v2::model::generator_evaluation_config::AgentAssistInputDataConfig;
let x = InputDataConfig::new().set_source_specific_config(Some(
    google_cloud_dialogflow_v2::model::generator_evaluation_config::input_data_config::SourceSpecificConfig::AgentAssistInputDataConfig(AgentAssistInputDataConfig::default().into())));

pub fn agent_assist_input_data_config( &self, ) -> Option<&Box<AgentAssistInputDataConfig>>

The value of source_specific_config if it holds a AgentAssistInputDataConfig, None if the field is not set or holds a different branch.

pub fn set_agent_assist_input_data_config<T: Into<Box<AgentAssistInputDataConfig>>>( self, v: T, ) -> Self

Sets the value of source_specific_config to hold a AgentAssistInputDataConfig.

Note that all the setters affecting source_specific_config are mutually exclusive.

Example

use google_cloud_dialogflow_v2::model::generator_evaluation_config::AgentAssistInputDataConfig;
let x = InputDataConfig::new().set_agent_assist_input_data_config(AgentAssistInputDataConfig::default()/* use setters */);
assert!(x.agent_assist_input_data_config().is_some());
assert!(x.dataset_input_data_config().is_none());

pub fn dataset_input_data_config(&self) -> Option<&Box<DatasetInputDataConfig>>

The value of source_specific_config if it holds a DatasetInputDataConfig, None if the field is not set or holds a different branch.

pub fn set_dataset_input_data_config<T: Into<Box<DatasetInputDataConfig>>>( self, v: T, ) -> Self

Sets the value of source_specific_config to hold a DatasetInputDataConfig.

Note that all the setters affecting source_specific_config are mutually exclusive.

Example

use google_cloud_dialogflow_v2::model::generator_evaluation_config::DatasetInputDataConfig;
let x = InputDataConfig::new().set_dataset_input_data_config(DatasetInputDataConfig::default()/* use setters */);
assert!(x.dataset_input_data_config().is_some());
assert!(x.agent_assist_input_data_config().is_none());

Trait Implementations

impl Clone for InputDataConfig

fn clone(&self) -> InputDataConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for InputDataConfig

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

Formats the value using the given formatter.

impl Default for InputDataConfig

fn default() -> InputDataConfig

Returns the “default value” for a type.

impl Message for InputDataConfig

fn typename() -> &'static str

The typename of this message.

impl PartialEq for InputDataConfig

fn eq(&self, other: &InputDataConfig) -> 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 InputDataConfig