PostTextOutputBuilder

aws_sdk_lexruntime::operation::post_text::builders

Struct PostTextOutputBuilder 

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#[non_exhaustive]
pub struct PostTextOutputBuilder { /* private fields */ }
Expand description

A builder for PostTextOutput.

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impl PostTextOutputBuilder

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pub fn intent_name(self, input: impl Into<String>) -> Self

The current user intent that Amazon Lex is aware of.

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pub fn set_intent_name(self, input: Option<String>) -> Self

The current user intent that Amazon Lex is aware of.

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pub fn get_intent_name(&self) -> &Option<String>

The current user intent that Amazon Lex is aware of.

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pub fn nlu_intent_confidence(self, input: IntentConfidence) -> Self

Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0. For more information, see Confidence Scores.

The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.

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pub fn set_nlu_intent_confidence(self, input: Option<IntentConfidence>) -> Self

Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0. For more information, see Confidence Scores.

The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.

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pub fn get_nlu_intent_confidence(&self) -> &Option<IntentConfidence>

Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0. For more information, see Confidence Scores.

The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.

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pub fn alternative_intents(self, input: PredictedIntent) -> Self

Appends an item to alternative_intents.

To override the contents of this collection use set_alternative_intents.

One to four alternative intents that may be applicable to the user's intent.

Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.

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pub fn set_alternative_intents( self, input: Option<Vec<PredictedIntent>>, ) -> Self

One to four alternative intents that may be applicable to the user's intent.

Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.

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pub fn get_alternative_intents(&self) -> &Option<Vec<PredictedIntent>>

One to four alternative intents that may be applicable to the user's intent.

Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.

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pub fn slots(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to slots.

To override the contents of this collection use set_slots.

The intent slots that Amazon Lex detected from the user input in the conversation.

Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.

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pub fn set_slots(self, input: Option<HashMap<String, String>>) -> Self

The intent slots that Amazon Lex detected from the user input in the conversation.

Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.

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pub fn get_slots(&self) -> &Option<HashMap<String, String>>

The intent slots that Amazon Lex detected from the user input in the conversation.

Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.

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pub fn session_attributes( self, k: impl Into<String>, v: impl Into<String>, ) -> Self

Adds a key-value pair to session_attributes.

To override the contents of this collection use set_session_attributes.

A map of key-value pairs representing the session-specific context information.

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pub fn set_session_attributes( self, input: Option<HashMap<String, String>>, ) -> Self

A map of key-value pairs representing the session-specific context information.

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pub fn get_session_attributes(&self) -> &Option<HashMap<String, String>>

A map of key-value pairs representing the session-specific context information.

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pub fn message(self, input: impl Into<String>) -> Self

The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.

If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.

When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.

If the Lambda function returns a message, Amazon Lex passes it to the client in its response.

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pub fn set_message(self, input: Option<String>) -> Self

The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.

If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.

When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.

If the Lambda function returns a message, Amazon Lex passes it to the client in its response.

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pub fn get_message(&self) -> &Option<String>

The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.

If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.

When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.

If the Lambda function returns a message, Amazon Lex passes it to the client in its response.

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pub fn sentiment_response(self, input: SentimentResponse) -> Self

The sentiment expressed in and utterance.

When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.

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pub fn set_sentiment_response(self, input: Option<SentimentResponse>) -> Self

The sentiment expressed in and utterance.

When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.

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pub fn get_sentiment_response(&self) -> &Option<SentimentResponse>

The sentiment expressed in and utterance.

When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.

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pub fn message_format(self, input: MessageFormatType) -> Self

The format of the response message. One of the following values:

  • PlainText - The message contains plain UTF-8 text.

  • CustomPayload - The message is a custom format defined by the Lambda function.

  • SSML - The message contains text formatted for voice output.

  • Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.

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pub fn set_message_format(self, input: Option<MessageFormatType>) -> Self

The format of the response message. One of the following values:

  • PlainText - The message contains plain UTF-8 text.

  • CustomPayload - The message is a custom format defined by the Lambda function.

  • SSML - The message contains text formatted for voice output.

  • Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.

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pub fn get_message_format(&self) -> &Option<MessageFormatType>

The format of the response message. One of the following values:

  • PlainText - The message contains plain UTF-8 text.

  • CustomPayload - The message is a custom format defined by the Lambda function.

  • SSML - The message contains text formatted for voice output.

  • Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.

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pub fn dialog_state(self, input: DialogState) -> Self

Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.

  • ElicitIntent - Amazon Lex wants to elicit user intent.

    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialogState.

  • ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.

    For example, Amazon Lex wants user confirmation before fulfilling an intent.

    Instead of a simple "yes" or "no," a user might respond with additional information. For example, "yes, but make it thick crust pizza" or "no, I want to order a drink". Amazon Lex can process such additional information (in these examples, update the crust type slot value, or change intent from OrderPizza to OrderDrink).

  • ElicitSlot - Amazon Lex is expecting a slot value for the current intent.

    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.

  • Fulfilled - Conveys that the Lambda function configured for the intent has successfully fulfilled the intent.

  • ReadyForFulfillment - Conveys that the client has to fulfill the intent.

  • Failed - Conveys that the conversation with the user failed.

    This can happen for various reasons including that the user did not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or the Lambda function failed to fulfill the intent.

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pub fn set_dialog_state(self, input: Option<DialogState>) -> Self

Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.

  • ElicitIntent - Amazon Lex wants to elicit user intent.

    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialogState.

  • ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.

    For example, Amazon Lex wants user confirmation before fulfilling an intent.

    Instead of a simple "yes" or "no," a user might respond with additional information. For example, "yes, but make it thick crust pizza" or "no, I want to order a drink". Amazon Lex can process such additional information (in these examples, update the crust type slot value, or change intent from OrderPizza to OrderDrink).

  • ElicitSlot - Amazon Lex is expecting a slot value for the current intent.

    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.

  • Fulfilled - Conveys that the Lambda function configured for the intent has successfully fulfilled the intent.

  • ReadyForFulfillment - Conveys that the client has to fulfill the intent.

  • Failed - Conveys that the conversation with the user failed.

    This can happen for various reasons including that the user did not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or the Lambda function failed to fulfill the intent.

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pub fn get_dialog_state(&self) -> &Option<DialogState>

Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.

  • ElicitIntent - Amazon Lex wants to elicit user intent.

    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialogState.

  • ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.

    For example, Amazon Lex wants user confirmation before fulfilling an intent.

    Instead of a simple "yes" or "no," a user might respond with additional information. For example, "yes, but make it thick crust pizza" or "no, I want to order a drink". Amazon Lex can process such additional information (in these examples, update the crust type slot value, or change intent from OrderPizza to OrderDrink).

  • ElicitSlot - Amazon Lex is expecting a slot value for the current intent.

    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.

  • Fulfilled - Conveys that the Lambda function configured for the intent has successfully fulfilled the intent.

  • ReadyForFulfillment - Conveys that the client has to fulfill the intent.

  • Failed - Conveys that the conversation with the user failed.

    This can happen for various reasons including that the user did not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or the Lambda function failed to fulfill the intent.

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pub fn slot_to_elicit(self, input: impl Into<String>) -> Self

If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.

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pub fn set_slot_to_elicit(self, input: Option<String>) -> Self

If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.

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pub fn get_slot_to_elicit(&self) -> &Option<String>

If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.

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pub fn response_card(self, input: ResponseCard) -> Self

Represents the options that the user has to respond to the current prompt. Response Card can come from the bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code hook (Lambda function).

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pub fn set_response_card(self, input: Option<ResponseCard>) -> Self

Represents the options that the user has to respond to the current prompt. Response Card can come from the bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code hook (Lambda function).

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pub fn get_response_card(&self) -> &Option<ResponseCard>

Represents the options that the user has to respond to the current prompt. Response Card can come from the bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code hook (Lambda function).

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pub fn session_id(self, input: impl Into<String>) -> Self

A unique identifier for the session.

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pub fn set_session_id(self, input: Option<String>) -> Self

A unique identifier for the session.

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pub fn get_session_id(&self) -> &Option<String>

A unique identifier for the session.

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pub fn bot_version(self, input: impl Into<String>) -> Self

The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.

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pub fn set_bot_version(self, input: Option<String>) -> Self

The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.

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pub fn get_bot_version(&self) -> &Option<String>

The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.

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pub fn active_contexts(self, input: ActiveContext) -> Self

Appends an item to active_contexts.

To override the contents of this collection use set_active_contexts.

A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling the PostContent, PostText, or PutSession operation.

You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.

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pub fn set_active_contexts(self, input: Option<Vec<ActiveContext>>) -> Self

A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling the PostContent, PostText, or PutSession operation.

You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.

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pub fn get_active_contexts(&self) -> &Option<Vec<ActiveContext>>

A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling the PostContent, PostText, or PutSession operation.

You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.

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pub fn build(self) -> PostTextOutput

Consumes the builder and constructs a PostTextOutput.

Trait Implementations§

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impl Clone for PostTextOutputBuilder

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fn clone(&self) -> PostTextOutputBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for PostTextOutputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for PostTextOutputBuilder

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fn default() -> PostTextOutputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for PostTextOutputBuilder

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

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

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

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Returns self with the bg() set to [Color :: BrightMagenta].

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fn on_bright_cyan(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightCyan].

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Returns self with the bg() set to [Color :: BrightWhite].

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fn attr(&self, value: Attribute) -> Painted<&T>

Enables the styling Attribute value.

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Make text bold using attr():

use yansi::{Paint, Attribute};

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Make text bold using using bold().

use yansi::Paint;

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fn bold(&self) -> Painted<&T>

Returns self with the attr() set to [Attribute :: Bold].

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Returns self with the attr() set to [Attribute :: Dim].

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Returns self with the attr() set to [Attribute :: Italic].

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Returns self with the attr() set to [Attribute :: Underline].

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Returns self with the attr() set to [Attribute :: Blink].

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fn invert(&self) -> Painted<&T>

Returns self with the attr() set to [Attribute :: Invert].

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fn conceal(&self) -> Painted<&T>

Returns self with the attr() set to [Attribute :: Conceal].

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fn strike(&self) -> Painted<&T>

Returns self with the attr() set to [Attribute :: Strike].

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fn quirk(&self, value: Quirk) -> Painted<&T>

Enables the yansi Quirk value.

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Enable wrapping using wrap().

use yansi::Paint;

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fn mask(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Mask].

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Returns self with the quirk() set to [Quirk :: Wrap].

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Returns self with the quirk() set to [Quirk :: Linger].

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fn clear(&self) -> Painted<&T>

👎Deprecated since 1.0.1: renamed to resetting() due to conflicts with Vec::clear(). The clear() method will be removed in a future release.

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fn resetting(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Resetting].

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Returns self with the quirk() set to [Quirk :: Bright].

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fn on_bright(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: OnBright].

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fn whenever(&self, value: Condition) -> Painted<&T>

Conditionally enable styling based on whether the Condition value applies. Replaces any previous condition.

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Enable styling painted only when both stdout and stderr are TTYs:

use yansi::{Paint, Condition};

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fn new(self) -> Painted<Self>
where Self: Sized,

Create a new Painted with a default Style. Read more
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where S: Into<Style>,

Apply a style wholesale to self. Any previous style is replaced. Read more
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type Output = T

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type Owned = T

The resulting type after obtaining ownership.
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Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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Performs the conversion.
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where S: Into<Dispatch>,

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impl<T> ErasedDestructor for T
where T: 'static,