com.amazonaws.services.lexruntime.model

Class PostTextResult

java.lang.Object

com.amazonaws.AmazonWebServiceResult<ResponseMetadata>

com.amazonaws.services.lexruntime.model.PostTextResult

All Implemented Interfaces:

Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class PostTextResult
extends AmazonWebServiceResult<ResponseMetadata>
implements Serializable, Cloneable

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
PostTextResult()

Method Summary

Modifier and Type	Method and Description
PostTextResult	addSessionAttributesEntry(String key, String value)
PostTextResult	addSlotsEntry(String key, String value)
PostTextResult	clearSessionAttributesEntries() Removes all the entries added into SessionAttributes.
PostTextResult	clearSlotsEntries() Removes all the entries added into Slots.
PostTextResult	clone()
boolean	equals(Object obj)
String	getDialogState() Identifies the current state of the user interaction.
String	getIntentName() The current user intent that Amazon Lex is aware of.
String	getMessage() A message to convey to the user.
ResponseCard	getResponseCard() Represents the options that the user has to respond to the current prompt.
Map<String,String>	getSessionAttributes() A map of key-value pairs representing the session-specific context information.
Map<String,String>	getSlots() The intent slots that Amazon Lex detected from the user input in the conversation.
String	getSlotToElicit() If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
int	hashCode()
void	setDialogState(DialogState dialogState) Identifies the current state of the user interaction.
void	setDialogState(String dialogState) Identifies the current state of the user interaction.
void	setIntentName(String intentName) The current user intent that Amazon Lex is aware of.
void	setMessage(String message) A message to convey to the user.
void	setResponseCard(ResponseCard responseCard) Represents the options that the user has to respond to the current prompt.
void	setSessionAttributes(Map<String,String> sessionAttributes) A map of key-value pairs representing the session-specific context information.
void	setSlots(Map<String,String> slots) The intent slots that Amazon Lex detected from the user input in the conversation.
void	setSlotToElicit(String slotToElicit) If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
String	toString() Returns a string representation of this object; useful for testing and debugging.
PostTextResult	withDialogState(DialogState dialogState) Identifies the current state of the user interaction.
PostTextResult	withDialogState(String dialogState) Identifies the current state of the user interaction.
PostTextResult	withIntentName(String intentName) The current user intent that Amazon Lex is aware of.
PostTextResult	withMessage(String message) A message to convey to the user.
PostTextResult	withResponseCard(ResponseCard responseCard) Represents the options that the user has to respond to the current prompt.
PostTextResult	withSessionAttributes(Map<String,String> sessionAttributes) A map of key-value pairs representing the session-specific context information.
PostTextResult	withSlots(Map<String,String> slots) The intent slots that Amazon Lex detected from the user input in the conversation.
PostTextResult	withSlotToElicit(String slotToElicit) If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.

Methods inherited from class com.amazonaws.AmazonWebServiceResult

getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

PostTextResult

public PostTextResult()

Method Detail

setIntentName

public void setIntentName(String intentName)

The current user intent that Amazon Lex is aware of.

Parameters:

intentName - The current user intent that Amazon Lex is aware of.

getIntentName

public String getIntentName()

The current user intent that Amazon Lex is aware of.

Returns:

The current user intent that Amazon Lex is aware of.

withIntentName

public PostTextResult withIntentName(String intentName)

The current user intent that Amazon Lex is aware of.

Parameters:

intentName - The current user intent that Amazon Lex is aware of.

Returns:

Returns a reference to this object so that method calls can be chained together.

getSlots

public Map<String,String> getSlots()

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.

Returns:

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.

setSlots

public void setSlots(Map<String,String> 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.

Parameters:

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.

withSlots

public PostTextResult withSlots(Map<String,String> 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

addSlotsEntry

public PostTextResult addSlotsEntry(String key,
                                    String value)

clearSlotsEntries

public PostTextResult clearSlotsEntries()

Removes all the entries added into Slots.

Returns:

Returns a reference to this object so that method calls can be chained together.

getSessionAttributes

public Map<String,String> getSessionAttributes()

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

Returns:

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

setSessionAttributes

public void setSessionAttributes(Map<String,String> sessionAttributes)

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

Parameters:

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

withSessionAttributes

public PostTextResult withSessionAttributes(Map<String,String> sessionAttributes)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

addSessionAttributesEntry

public PostTextResult addSessionAttributesEntry(String key,
                                                String value)

clearSessionAttributesEntries

public PostTextResult clearSessionAttributesEntries()

Removes all the entries added into SessionAttributes.

Returns:

Returns a reference to this object so that method calls can be chained together.

setMessage

public void setMessage(String message)

A message to convey to the user. It can come from the bot's configuration or a code hook (Lambda function). If the current intent is not configured with a code hook or the code hook returned Delegate as the dialogAction.type in its response, then Amazon Lex decides the next course of action and selects an appropriate message from the bot configuration based on the current user interaction context. For example, if Amazon Lex is not able to understand the user input, it uses a clarification prompt message (for more information, see the Error Handling section in the Amazon Lex console). Another example: if the intent requires confirmation before fulfillment, then Amazon Lex uses the confirmation prompt message in the intent configuration. If the code hook returns a message, Amazon Lex passes it as-is in its response to the client.

Parameters:

message - A message to convey to the user. It can come from the bot's configuration or a code hook (Lambda function). If the current intent is not configured with a code hook or the code hook returned Delegate as the dialogAction.type in its response, then Amazon Lex decides the next course of action and selects an appropriate message from the bot configuration based on the current user interaction context. For example, if Amazon Lex is not able to understand the user input, it uses a clarification prompt message (for more information, see the Error Handling section in the Amazon Lex console). Another example: if the intent requires confirmation before fulfillment, then Amazon Lex uses the confirmation prompt message in the intent configuration. If the code hook returns a message, Amazon Lex passes it as-is in its response to the client.

getMessage

public String getMessage()

A message to convey to the user. It can come from the bot's configuration or a code hook (Lambda function). If the current intent is not configured with a code hook or the code hook returned Delegate as the dialogAction.type in its response, then Amazon Lex decides the next course of action and selects an appropriate message from the bot configuration based on the current user interaction context. For example, if Amazon Lex is not able to understand the user input, it uses a clarification prompt message (for more information, see the Error Handling section in the Amazon Lex console). Another example: if the intent requires confirmation before fulfillment, then Amazon Lex uses the confirmation prompt message in the intent configuration. If the code hook returns a message, Amazon Lex passes it as-is in its response to the client.

Returns:

A message to convey to the user. It can come from the bot's configuration or a code hook (Lambda function). If the current intent is not configured with a code hook or the code hook returned Delegate as the dialogAction.type in its response, then Amazon Lex decides the next course of action and selects an appropriate message from the bot configuration based on the current user interaction context. For example, if Amazon Lex is not able to understand the user input, it uses a clarification prompt message (for more information, see the Error Handling section in the Amazon Lex console). Another example: if the intent requires confirmation before fulfillment, then Amazon Lex uses the confirmation prompt message in the intent configuration. If the code hook returns a message, Amazon Lex passes it as-is in its response to the client.

withMessage

public PostTextResult withMessage(String message)

A message to convey to the user. It can come from the bot's configuration or a code hook (Lambda function). If the current intent is not configured with a code hook or the code hook returned Delegate as the dialogAction.type in its response, then Amazon Lex decides the next course of action and selects an appropriate message from the bot configuration based on the current user interaction context. For example, if Amazon Lex is not able to understand the user input, it uses a clarification prompt message (for more information, see the Error Handling section in the Amazon Lex console). Another example: if the intent requires confirmation before fulfillment, then Amazon Lex uses the confirmation prompt message in the intent configuration. If the code hook returns a message, Amazon Lex passes it as-is in its response to the client.

Parameters:

message - A message to convey to the user. It can come from the bot's configuration or a code hook (Lambda function). If the current intent is not configured with a code hook or the code hook returned Delegate as the dialogAction.type in its response, then Amazon Lex decides the next course of action and selects an appropriate message from the bot configuration based on the current user interaction context. For example, if Amazon Lex is not able to understand the user input, it uses a clarification prompt message (for more information, see the Error Handling section in the Amazon Lex console). Another example: if the intent requires confirmation before fulfillment, then Amazon Lex uses the confirmation prompt message in the intent configuration. If the code hook returns a message, Amazon Lex passes it as-is in its response to the client.

Returns:

Returns a reference to this object so that method calls can be chained together.

setDialogState

public void setDialogState(String 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.

Parameters:

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.

See Also:

DialogState

getDialogState

public String getDialogState()

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.

Returns:

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.

See Also:

DialogState

withDialogState

public PostTextResult withDialogState(String 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

DialogState

setDialogState

public void setDialogState(DialogState 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.

Parameters:

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.

See Also:

DialogState

withDialogState

public PostTextResult withDialogState(DialogState 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

DialogState

setSlotToElicit

public void setSlotToElicit(String slotToElicit)

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

Parameters:

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

getSlotToElicit

public String getSlotToElicit()

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

Returns:

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

withSlotToElicit

public PostTextResult withSlotToElicit(String slotToElicit)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setResponseCard

public void setResponseCard(ResponseCard 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).

Parameters:

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).

getResponseCard

public ResponseCard getResponseCard()

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).

Returns:

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).

withResponseCard

public PostTextResult withResponseCard(ResponseCard 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).

Parameters:

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).

Returns:

Returns a reference to this object so that method calls can be chained together.

toString

public String toString()

Returns a string representation of this object; useful for testing and debugging.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public PostTextResult clone()

Overrides:

clone in class Object