com.amazonaws.services.lexruntime.model.PostContentResult Maven / Gradle / Ivy
/*
* Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.lexruntime.model;
import java.io.Serializable;
import javax.annotation.Generated;
/**
*
* @see AWS API
* Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class PostContentResult extends com.amazonaws.AmazonWebServiceResult implements Serializable, Cloneable {
/**
*
* Content type as specified in the Accept HTTP header in the request.
*
*/
private String contentType;
/**
*
* Current user intent that Amazon Lex is aware of.
*
*/
private String intentName;
/**
*
* 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.
*
*
* The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
*
*/
private String nluIntentConfidence;
/**
*
* 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.
*
*/
private String alternativeIntents;
/**
*
* Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the
* conversation. The field is base-64 encoded.
*
*
* 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.
*
*/
private String slots;
/**
*
* Map of key/value pairs representing the session-specific context information.
*
*/
private String sessionAttributes;
/**
*
* The sentiment expressed in an utterance.
*
*
* When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains
* the result of the analysis.
*
*/
private String sentimentResponse;
/**
*
* You can only use this field in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the message field is null. You should use the
* encodedMessage field instead.
*
*
* 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 in 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.
*
*/
@Deprecated
private String message;
/**
*
* 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 in 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.
*
*
* The encodedMessage field is base-64 encoded. You must decode the field before you can use the value.
*
*/
private String encodedMessage;
/**
*
* 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 for the client.
*
*
* -
*
* 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.
*
*
*
*/
private String messageFormat;
/**
*
* 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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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"
* response, a user might respond with additional information. For example, "yes, but make it a 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 or change the intent from OrderPizza to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if
* the Lambda function fails to fulfill the intent.
*
*
*
*/
private String dialogState;
/**
*
* If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon
* Lex is eliciting a value.
*
*/
private String slotToElicit;
/**
*
* The text used to process the request.
*
*
* You can use this field only in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the inputTranscript field is null. You should use the
* encodedInputTranscript field instead.
*
*
* If the input was an audio stream, the inputTranscript field contains the text extracted from the
* audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this
* information to determine if Amazon Lex is correctly processing the audio that you send.
*
*/
@Deprecated
private String inputTranscript;
/**
*
* The text used to process the request.
*
*
* If the input was an audio stream, the encodedInputTranscript field contains the text extracted from
* the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use
* this information to determine if Amazon Lex is correctly processing the audio that you send.
*
*
* The encodedInputTranscript field is base-64 encoded. You must decode the field before you can use
* the value.
*
*/
private String encodedInputTranscript;
/**
*
* The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example,
* if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for
* the bot. If the intent requires confirmation before taking the fulfillment action, it sends the
* confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the
* intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.
*
*/
private java.io.InputStream audioStream;
/**
*
* 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.
*
*/
private String botVersion;
/**
*
* The unique identifier for the session.
*
*/
private String sessionId;
/**
*
* 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.
*
*/
private String activeContexts;
/**
*
* Content type as specified in the Accept HTTP header in the request.
*
*
* @param contentType
* Content type as specified in the Accept HTTP header in the request.
*/
public void setContentType(String contentType) {
this.contentType = contentType;
}
/**
*
* Content type as specified in the Accept HTTP header in the request.
*
*
* @return Content type as specified in the Accept HTTP header in the request.
*/
public String getContentType() {
return this.contentType;
}
/**
*
* Content type as specified in the Accept HTTP header in the request.
*
*
* @param contentType
* Content type as specified in the Accept HTTP header in the request.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withContentType(String contentType) {
setContentType(contentType);
return this;
}
/**
*
* Current user intent that Amazon Lex is aware of.
*
*
* @param intentName
* Current user intent that Amazon Lex is aware of.
*/
public void setIntentName(String intentName) {
this.intentName = intentName;
}
/**
*
* Current user intent that Amazon Lex is aware of.
*
*
* @return Current user intent that Amazon Lex is aware of.
*/
public String getIntentName() {
return this.intentName;
}
/**
*
* Current user intent that Amazon Lex is aware of.
*
*
* @param intentName
* Current user intent that Amazon Lex is aware of.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withIntentName(String intentName) {
setIntentName(intentName);
return this;
}
/**
*
* 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.
*
*
* The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param nluIntentConfidence
* 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.
*
* The score is a relative score, not an absolute score. The score may change based on improvements to Amazon
* Lex.
*/
public void setNluIntentConfidence(String nluIntentConfidence) {
this.nluIntentConfidence = nluIntentConfidence;
}
/**
*
* 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.
*
*
* The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
*
*
* This field's value will be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* @return 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.
*
* The score is a relative score, not an absolute score. The score may change based on improvements to
* Amazon Lex.
*/
public String getNluIntentConfidence() {
return this.nluIntentConfidence;
}
/**
*
* 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.
*
*
* The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param nluIntentConfidence
* 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.
*
* The score is a relative score, not an absolute score. The score may change based on improvements to Amazon
* Lex.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withNluIntentConfidence(String nluIntentConfidence) {
setNluIntentConfidence(nluIntentConfidence);
return this;
}
/**
*
* 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.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param alternativeIntents
* 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.
*/
public void setAlternativeIntents(String alternativeIntents) {
this.alternativeIntents = alternativeIntents;
}
/**
*
* 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.
*
*
* This field's value will be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* @return 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.
*/
public String getAlternativeIntents() {
return this.alternativeIntents;
}
/**
*
* 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.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param alternativeIntents
* 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withAlternativeIntents(String alternativeIntents) {
setAlternativeIntents(alternativeIntents);
return this;
}
/**
*
* Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the
* conversation. The field is base-64 encoded.
*
*
* 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.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param slots
* Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the
* conversation. The field is base-64 encoded.
*
* 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.
*/
public void setSlots(String slots) {
this.slots = slots;
}
/**
*
* Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the
* conversation. The field is base-64 encoded.
*
*
* 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.
*
*
* This field's value will be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* @return Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the
* conversation. The field is base-64 encoded.
*
* 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.
*/
public String getSlots() {
return this.slots;
}
/**
*
* Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the
* conversation. The field is base-64 encoded.
*
*
* 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.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param slots
* Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the
* conversation. The field is base-64 encoded.
*
* 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withSlots(String slots) {
setSlots(slots);
return this;
}
/**
*
* Map of key/value pairs representing the session-specific context information.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param sessionAttributes
* Map of key/value pairs representing the session-specific context information.
*/
public void setSessionAttributes(String sessionAttributes) {
this.sessionAttributes = sessionAttributes;
}
/**
*
* Map of key/value pairs representing the session-specific context information.
*
*
* This field's value will be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* @return Map of key/value pairs representing the session-specific context information.
*/
public String getSessionAttributes() {
return this.sessionAttributes;
}
/**
*
* Map of key/value pairs representing the session-specific context information.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param sessionAttributes
* Map of key/value pairs representing the session-specific context information.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withSessionAttributes(String sessionAttributes) {
setSessionAttributes(sessionAttributes);
return this;
}
/**
*
* The sentiment expressed in an utterance.
*
*
* When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains
* the result of the analysis.
*
*
* @param sentimentResponse
* The sentiment expressed in an utterance.
*
* When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field
* contains the result of the analysis.
*/
public void setSentimentResponse(String sentimentResponse) {
this.sentimentResponse = sentimentResponse;
}
/**
*
* The sentiment expressed in an utterance.
*
*
* When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains
* the result of the analysis.
*
*
* @return The sentiment expressed in an utterance.
*
* When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field
* contains the result of the analysis.
*/
public String getSentimentResponse() {
return this.sentimentResponse;
}
/**
*
* The sentiment expressed in an utterance.
*
*
* When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains
* the result of the analysis.
*
*
* @param sentimentResponse
* The sentiment expressed in an utterance.
*
* When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field
* contains the result of the analysis.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withSentimentResponse(String sentimentResponse) {
setSentimentResponse(sentimentResponse);
return this;
}
/**
*
* You can only use this field in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the message field is null. You should use the
* encodedMessage field instead.
*
*
* 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 in 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.
*
*
* @param message
* You can only use this field in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and
* it-IT locales. In all other locales, the message field is null. You should use the
* encodedMessage field instead.
*
* 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 in 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.
*/
@Deprecated
public void setMessage(String message) {
this.message = message;
}
/**
*
* You can only use this field in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the message field is null. You should use the
* encodedMessage field instead.
*
*
* 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 in 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.
*
*
* @return You can only use this field in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and
* it-IT locales. In all other locales, the message field is null. You should use the
* encodedMessage field instead.
*
* 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 in 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.
*/
@Deprecated
public String getMessage() {
return this.message;
}
/**
*
* You can only use this field in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the message field is null. You should use the
* encodedMessage field instead.
*
*
* 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 in 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.
*
*
* @param message
* You can only use this field in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and
* it-IT locales. In all other locales, the message field is null. You should use the
* encodedMessage field instead.
*
* 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 in 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
@Deprecated
public PostContentResult withMessage(String message) {
setMessage(message);
return this;
}
/**
*
* 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 in 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.
*
*
* The encodedMessage field is base-64 encoded. You must decode the field before you can use the value.
*
*
* @param encodedMessage
* 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 in 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.
*
*
* The encodedMessage field is base-64 encoded. You must decode the field before you can use the
* value.
*/
public void setEncodedMessage(String encodedMessage) {
this.encodedMessage = encodedMessage;
}
/**
*
* 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 in 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.
*
*
* The encodedMessage field is base-64 encoded. You must decode the field before you can use the value.
*
*
* @return 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 in 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.
*
*
* The encodedMessage field is base-64 encoded. You must decode the field before you can use
* the value.
*/
public String getEncodedMessage() {
return this.encodedMessage;
}
/**
*
* 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 in 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.
*
*
* The encodedMessage field is base-64 encoded. You must decode the field before you can use the value.
*
*
* @param encodedMessage
* 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 in 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.
*
*
* The encodedMessage field is base-64 encoded. You must decode the field before you can use the
* value.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withEncodedMessage(String encodedMessage) {
setEncodedMessage(encodedMessage);
return this;
}
/**
*
* 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 for the client.
*
*
* -
*
* 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.
*
*
*
*
* @param messageFormat
* 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 for the client.
*
*
* -
*
* 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.
*
*
* @see MessageFormatType
*/
public void setMessageFormat(String messageFormat) {
this.messageFormat = messageFormat;
}
/**
*
* 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 for the client.
*
*
* -
*
* 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.
*
*
*
*
* @return 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 for the client.
*
*
* -
*
* 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.
*
*
* @see MessageFormatType
*/
public String getMessageFormat() {
return this.messageFormat;
}
/**
*
* 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 for the client.
*
*
* -
*
* 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.
*
*
*
*
* @param messageFormat
* 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 for the client.
*
*
* -
*
* 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.
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see MessageFormatType
*/
public PostContentResult withMessageFormat(String messageFormat) {
setMessageFormat(messageFormat);
return this;
}
/**
*
* 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 for the client.
*
*
* -
*
* 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.
*
*
*
*
* @param messageFormat
* 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 for the client.
*
*
* -
*
* 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.
*
*
* @see MessageFormatType
*/
public void setMessageFormat(MessageFormatType messageFormat) {
withMessageFormat(messageFormat);
}
/**
*
* 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 for the client.
*
*
* -
*
* 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.
*
*
*
*
* @param messageFormat
* 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 for the client.
*
*
* -
*
* 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.
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see MessageFormatType
*/
public PostContentResult withMessageFormat(MessageFormatType messageFormat) {
this.messageFormat = messageFormat.toString();
return this;
}
/**
*
* 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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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"
* response, a user might respond with additional information. For example, "yes, but make it a 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 or change the intent from OrderPizza to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if
* the Lambda function fails to fulfill the intent.
*
*
*
*
* @param 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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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" response, a user might respond with additional information. For example,
* "yes, but make it a 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 or change the intent from OrderPizza
* to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if the Lambda function fails to fulfill the intent.
*
*
* @see DialogState
*/
public void setDialogState(String dialogState) {
this.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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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"
* response, a user might respond with additional information. For example, "yes, but make it a 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 or change the intent from OrderPizza to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if
* the Lambda function fails to fulfill the intent.
*
*
*
*
* @return 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 the user's intent. Consider the following
* examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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" response, a user might respond with additional information. For example,
* "yes, but make it a 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 or change the intent from
* OrderPizza to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if the Lambda function fails to fulfill the intent.
*
*
* @see DialogState
*/
public String getDialogState() {
return this.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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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"
* response, a user might respond with additional information. For example, "yes, but make it a 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 or change the intent from OrderPizza to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if
* the Lambda function fails to fulfill the intent.
*
*
*
*
* @param 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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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" response, a user might respond with additional information. For example,
* "yes, but make it a 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 or change the intent from OrderPizza
* to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if the Lambda function fails to fulfill the intent.
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see DialogState
*/
public PostContentResult withDialogState(String dialogState) {
setDialogState(dialogState);
return this;
}
/**
*
* 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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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"
* response, a user might respond with additional information. For example, "yes, but make it a 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 or change the intent from OrderPizza to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if
* the Lambda function fails to fulfill the intent.
*
*
*
*
* @param 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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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" response, a user might respond with additional information. For example,
* "yes, but make it a 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 or change the intent from OrderPizza
* to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if the Lambda function fails to fulfill the intent.
*
*
* @see DialogState
*/
public void setDialogState(DialogState dialogState) {
withDialogState(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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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"
* response, a user might respond with additional information. For example, "yes, but make it a 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 or change the intent from OrderPizza to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if
* the Lambda function fails to fulfill the intent.
*
*
*
*
* @param 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 the user's intent. Consider the following examples:
*
*
* 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 dialog state.
*
*
* -
*
* 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" response, a user might respond with additional information. For example,
* "yes, but make it a 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 or change the intent from OrderPizza
* to OrderDrink).
*
*
* -
*
* ElicitSlot - Amazon Lex is expecting the value of a slot 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 has successfully fulfilled the intent.
*
*
* -
*
* ReadyForFulfillment - Conveys that the client has to fulfill the request.
*
*
* -
*
* Failed - Conveys that the conversation with the user failed.
*
*
* This can happen for various reasons, including that the user does 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 if the Lambda function fails to fulfill the intent.
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see DialogState
*/
public PostContentResult withDialogState(DialogState dialogState) {
this.dialogState = dialogState.toString();
return this;
}
/**
*
* If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon
* Lex is eliciting a value.
*
*
* @param slotToElicit
* If the dialogState value is ElicitSlot, returns the name of the slot for which
* Amazon Lex is eliciting a value.
*/
public void setSlotToElicit(String slotToElicit) {
this.slotToElicit = slotToElicit;
}
/**
*
* If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon
* Lex is eliciting a value.
*
*
* @return If the dialogState value is ElicitSlot, returns the name of the slot for which
* Amazon Lex is eliciting a value.
*/
public String getSlotToElicit() {
return this.slotToElicit;
}
/**
*
* If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon
* Lex is eliciting a value.
*
*
* @param slotToElicit
* If the dialogState value is ElicitSlot, returns the name of the slot for which
* Amazon Lex is eliciting a value.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withSlotToElicit(String slotToElicit) {
setSlotToElicit(slotToElicit);
return this;
}
/**
*
* The text used to process the request.
*
*
* You can use this field only in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the inputTranscript field is null. You should use the
* encodedInputTranscript field instead.
*
*
* If the input was an audio stream, the inputTranscript field contains the text extracted from the
* audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this
* information to determine if Amazon Lex is correctly processing the audio that you send.
*
*
* @param inputTranscript
* The text used to process the request.
*
* You can use this field only in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and
* it-IT locales. In all other locales, the inputTranscript field is null. You should use the
* encodedInputTranscript field instead.
*
*
* If the input was an audio stream, the inputTranscript field contains the text extracted from
* the audio stream. This is the text that is actually processed to recognize intents and slot values. You
* can use this information to determine if Amazon Lex is correctly processing the audio that you send.
*/
@Deprecated
public void setInputTranscript(String inputTranscript) {
this.inputTranscript = inputTranscript;
}
/**
*
* The text used to process the request.
*
*
* You can use this field only in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the inputTranscript field is null. You should use the
* encodedInputTranscript field instead.
*
*
* If the input was an audio stream, the inputTranscript field contains the text extracted from the
* audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this
* information to determine if Amazon Lex is correctly processing the audio that you send.
*
*
* @return The text used to process the request.
*
* You can use this field only in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and
* it-IT locales. In all other locales, the inputTranscript field is null. You should use the
* encodedInputTranscript field instead.
*
*
* If the input was an audio stream, the inputTranscript field contains the text extracted from
* the audio stream. This is the text that is actually processed to recognize intents and slot values. You
* can use this information to determine if Amazon Lex is correctly processing the audio that you send.
*/
@Deprecated
public String getInputTranscript() {
return this.inputTranscript;
}
/**
*
* The text used to process the request.
*
*
* You can use this field only in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and it-IT
* locales. In all other locales, the inputTranscript field is null. You should use the
* encodedInputTranscript field instead.
*
*
* If the input was an audio stream, the inputTranscript field contains the text extracted from the
* audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this
* information to determine if Amazon Lex is correctly processing the audio that you send.
*
*
* @param inputTranscript
* The text used to process the request.
*
* You can use this field only in the de-DE, en-AU, en-GB, en-US, es-419, es-ES, es-US, fr-CA, fr-FR, and
* it-IT locales. In all other locales, the inputTranscript field is null. You should use the
* encodedInputTranscript field instead.
*
*
* If the input was an audio stream, the inputTranscript field contains the text extracted from
* the audio stream. This is the text that is actually processed to recognize intents and slot values. You
* can use this information to determine if Amazon Lex is correctly processing the audio that you send.
* @return Returns a reference to this object so that method calls can be chained together.
*/
@Deprecated
public PostContentResult withInputTranscript(String inputTranscript) {
setInputTranscript(inputTranscript);
return this;
}
/**
*
* The text used to process the request.
*
*
* If the input was an audio stream, the encodedInputTranscript field contains the text extracted from
* the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use
* this information to determine if Amazon Lex is correctly processing the audio that you send.
*
*
* The encodedInputTranscript field is base-64 encoded. You must decode the field before you can use
* the value.
*
*
* @param encodedInputTranscript
* The text used to process the request.
*
* If the input was an audio stream, the encodedInputTranscript field contains the text
* extracted from the audio stream. This is the text that is actually processed to recognize intents and slot
* values. You can use this information to determine if Amazon Lex is correctly processing the audio that you
* send.
*
*
* The encodedInputTranscript field is base-64 encoded. You must decode the field before you can
* use the value.
*/
public void setEncodedInputTranscript(String encodedInputTranscript) {
this.encodedInputTranscript = encodedInputTranscript;
}
/**
*
* The text used to process the request.
*
*
* If the input was an audio stream, the encodedInputTranscript field contains the text extracted from
* the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use
* this information to determine if Amazon Lex is correctly processing the audio that you send.
*
*
* The encodedInputTranscript field is base-64 encoded. You must decode the field before you can use
* the value.
*
*
* @return The text used to process the request.
*
* If the input was an audio stream, the encodedInputTranscript field contains the text
* extracted from the audio stream. This is the text that is actually processed to recognize intents and
* slot values. You can use this information to determine if Amazon Lex is correctly processing the audio
* that you send.
*
*
* The encodedInputTranscript field is base-64 encoded. You must decode the field before you
* can use the value.
*/
public String getEncodedInputTranscript() {
return this.encodedInputTranscript;
}
/**
*
* The text used to process the request.
*
*
* If the input was an audio stream, the encodedInputTranscript field contains the text extracted from
* the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use
* this information to determine if Amazon Lex is correctly processing the audio that you send.
*
*
* The encodedInputTranscript field is base-64 encoded. You must decode the field before you can use
* the value.
*
*
* @param encodedInputTranscript
* The text used to process the request.
*
* If the input was an audio stream, the encodedInputTranscript field contains the text
* extracted from the audio stream. This is the text that is actually processed to recognize intents and slot
* values. You can use this information to determine if Amazon Lex is correctly processing the audio that you
* send.
*
*
* The encodedInputTranscript field is base-64 encoded. You must decode the field before you can
* use the value.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withEncodedInputTranscript(String encodedInputTranscript) {
setEncodedInputTranscript(encodedInputTranscript);
return this;
}
/**
*
* The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example,
* if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for
* the bot. If the intent requires confirmation before taking the fulfillment action, it sends the
* confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the
* intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.
*
*
* @param audioStream
* The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For
* example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt
* configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends
* the confirmationPrompt. Another example: Suppose that the Lambda function successfully
* fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the
* response.
*/
public void setAudioStream(java.io.InputStream audioStream) {
this.audioStream = audioStream;
}
/**
*
* The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example,
* if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for
* the bot. If the intent requires confirmation before taking the fulfillment action, it sends the
* confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the
* intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.
*
*
* @return The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For
* example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt
* configured for the bot. If the intent requires confirmation before taking the fulfillment action, it
* sends the confirmationPrompt. Another example: Suppose that the Lambda function successfully
* fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the
* response.
*/
public java.io.InputStream getAudioStream() {
return this.audioStream;
}
/**
*
* The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example,
* if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for
* the bot. If the intent requires confirmation before taking the fulfillment action, it sends the
* confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the
* intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.
*
*
* @param audioStream
* The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For
* example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt
* configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends
* the confirmationPrompt. Another example: Suppose that the Lambda function successfully
* fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the
* response.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withAudioStream(java.io.InputStream audioStream) {
setAudioStream(audioStream);
return this;
}
/**
*
* 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.
*
*
* @param botVersion
* 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.
*/
public void setBotVersion(String botVersion) {
this.botVersion = botVersion;
}
/**
*
* 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.
*
*
* @return 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.
*/
public String getBotVersion() {
return this.botVersion;
}
/**
*
* 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.
*
*
* @param botVersion
* 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withBotVersion(String botVersion) {
setBotVersion(botVersion);
return this;
}
/**
*
* The unique identifier for the session.
*
*
* @param sessionId
* The unique identifier for the session.
*/
public void setSessionId(String sessionId) {
this.sessionId = sessionId;
}
/**
*
* The unique identifier for the session.
*
*
* @return The unique identifier for the session.
*/
public String getSessionId() {
return this.sessionId;
}
/**
*
* The unique identifier for the session.
*
*
* @param sessionId
* The unique identifier for the session.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withSessionId(String sessionId) {
setSessionId(sessionId);
return this;
}
/**
*
* 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.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param activeContexts
* 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.
*/
public void setActiveContexts(String activeContexts) {
this.activeContexts = activeContexts;
}
/**
*
* 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.
*
*
* This field's value will be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* @return 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.
*/
public String getActiveContexts() {
return this.activeContexts;
}
/**
*
* 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.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param activeContexts
* 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PostContentResult withActiveContexts(String activeContexts) {
setActiveContexts(activeContexts);
return this;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getContentType() != null)
sb.append("ContentType: ").append(getContentType()).append(",");
if (getIntentName() != null)
sb.append("IntentName: ").append(getIntentName()).append(",");
if (getNluIntentConfidence() != null)
sb.append("NluIntentConfidence: ").append(getNluIntentConfidence()).append(",");
if (getAlternativeIntents() != null)
sb.append("AlternativeIntents: ").append(getAlternativeIntents()).append(",");
if (getSlots() != null)
sb.append("Slots: ").append(getSlots()).append(",");
if (getSessionAttributes() != null)
sb.append("SessionAttributes: ").append(getSessionAttributes()).append(",");
if (getSentimentResponse() != null)
sb.append("SentimentResponse: ").append(getSentimentResponse()).append(",");
if (getMessage() != null)
sb.append("Message: ").append("***Sensitive Data Redacted***").append(",");
if (getEncodedMessage() != null)
sb.append("EncodedMessage: ").append("***Sensitive Data Redacted***").append(",");
if (getMessageFormat() != null)
sb.append("MessageFormat: ").append(getMessageFormat()).append(",");
if (getDialogState() != null)
sb.append("DialogState: ").append(getDialogState()).append(",");
if (getSlotToElicit() != null)
sb.append("SlotToElicit: ").append(getSlotToElicit()).append(",");
if (getInputTranscript() != null)
sb.append("InputTranscript: ").append(getInputTranscript()).append(",");
if (getEncodedInputTranscript() != null)
sb.append("EncodedInputTranscript: ").append("***Sensitive Data Redacted***").append(",");
if (getAudioStream() != null)
sb.append("AudioStream: ").append(getAudioStream()).append(",");
if (getBotVersion() != null)
sb.append("BotVersion: ").append(getBotVersion()).append(",");
if (getSessionId() != null)
sb.append("SessionId: ").append(getSessionId()).append(",");
if (getActiveContexts() != null)
sb.append("ActiveContexts: ").append("***Sensitive Data Redacted***");
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof PostContentResult == false)
return false;
PostContentResult other = (PostContentResult) obj;
if (other.getContentType() == null ^ this.getContentType() == null)
return false;
if (other.getContentType() != null && other.getContentType().equals(this.getContentType()) == false)
return false;
if (other.getIntentName() == null ^ this.getIntentName() == null)
return false;
if (other.getIntentName() != null && other.getIntentName().equals(this.getIntentName()) == false)
return false;
if (other.getNluIntentConfidence() == null ^ this.getNluIntentConfidence() == null)
return false;
if (other.getNluIntentConfidence() != null && other.getNluIntentConfidence().equals(this.getNluIntentConfidence()) == false)
return false;
if (other.getAlternativeIntents() == null ^ this.getAlternativeIntents() == null)
return false;
if (other.getAlternativeIntents() != null && other.getAlternativeIntents().equals(this.getAlternativeIntents()) == false)
return false;
if (other.getSlots() == null ^ this.getSlots() == null)
return false;
if (other.getSlots() != null && other.getSlots().equals(this.getSlots()) == false)
return false;
if (other.getSessionAttributes() == null ^ this.getSessionAttributes() == null)
return false;
if (other.getSessionAttributes() != null && other.getSessionAttributes().equals(this.getSessionAttributes()) == false)
return false;
if (other.getSentimentResponse() == null ^ this.getSentimentResponse() == null)
return false;
if (other.getSentimentResponse() != null && other.getSentimentResponse().equals(this.getSentimentResponse()) == false)
return false;
if (other.getMessage() == null ^ this.getMessage() == null)
return false;
if (other.getMessage() != null && other.getMessage().equals(this.getMessage()) == false)
return false;
if (other.getEncodedMessage() == null ^ this.getEncodedMessage() == null)
return false;
if (other.getEncodedMessage() != null && other.getEncodedMessage().equals(this.getEncodedMessage()) == false)
return false;
if (other.getMessageFormat() == null ^ this.getMessageFormat() == null)
return false;
if (other.getMessageFormat() != null && other.getMessageFormat().equals(this.getMessageFormat()) == false)
return false;
if (other.getDialogState() == null ^ this.getDialogState() == null)
return false;
if (other.getDialogState() != null && other.getDialogState().equals(this.getDialogState()) == false)
return false;
if (other.getSlotToElicit() == null ^ this.getSlotToElicit() == null)
return false;
if (other.getSlotToElicit() != null && other.getSlotToElicit().equals(this.getSlotToElicit()) == false)
return false;
if (other.getInputTranscript() == null ^ this.getInputTranscript() == null)
return false;
if (other.getInputTranscript() != null && other.getInputTranscript().equals(this.getInputTranscript()) == false)
return false;
if (other.getEncodedInputTranscript() == null ^ this.getEncodedInputTranscript() == null)
return false;
if (other.getEncodedInputTranscript() != null && other.getEncodedInputTranscript().equals(this.getEncodedInputTranscript()) == false)
return false;
if (other.getAudioStream() == null ^ this.getAudioStream() == null)
return false;
if (other.getAudioStream() != null && other.getAudioStream().equals(this.getAudioStream()) == false)
return false;
if (other.getBotVersion() == null ^ this.getBotVersion() == null)
return false;
if (other.getBotVersion() != null && other.getBotVersion().equals(this.getBotVersion()) == false)
return false;
if (other.getSessionId() == null ^ this.getSessionId() == null)
return false;
if (other.getSessionId() != null && other.getSessionId().equals(this.getSessionId()) == false)
return false;
if (other.getActiveContexts() == null ^ this.getActiveContexts() == null)
return false;
if (other.getActiveContexts() != null && other.getActiveContexts().equals(this.getActiveContexts()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getContentType() == null) ? 0 : getContentType().hashCode());
hashCode = prime * hashCode + ((getIntentName() == null) ? 0 : getIntentName().hashCode());
hashCode = prime * hashCode + ((getNluIntentConfidence() == null) ? 0 : getNluIntentConfidence().hashCode());
hashCode = prime * hashCode + ((getAlternativeIntents() == null) ? 0 : getAlternativeIntents().hashCode());
hashCode = prime * hashCode + ((getSlots() == null) ? 0 : getSlots().hashCode());
hashCode = prime * hashCode + ((getSessionAttributes() == null) ? 0 : getSessionAttributes().hashCode());
hashCode = prime * hashCode + ((getSentimentResponse() == null) ? 0 : getSentimentResponse().hashCode());
hashCode = prime * hashCode + ((getMessage() == null) ? 0 : getMessage().hashCode());
hashCode = prime * hashCode + ((getEncodedMessage() == null) ? 0 : getEncodedMessage().hashCode());
hashCode = prime * hashCode + ((getMessageFormat() == null) ? 0 : getMessageFormat().hashCode());
hashCode = prime * hashCode + ((getDialogState() == null) ? 0 : getDialogState().hashCode());
hashCode = prime * hashCode + ((getSlotToElicit() == null) ? 0 : getSlotToElicit().hashCode());
hashCode = prime * hashCode + ((getInputTranscript() == null) ? 0 : getInputTranscript().hashCode());
hashCode = prime * hashCode + ((getEncodedInputTranscript() == null) ? 0 : getEncodedInputTranscript().hashCode());
hashCode = prime * hashCode + ((getAudioStream() == null) ? 0 : getAudioStream().hashCode());
hashCode = prime * hashCode + ((getBotVersion() == null) ? 0 : getBotVersion().hashCode());
hashCode = prime * hashCode + ((getSessionId() == null) ? 0 : getSessionId().hashCode());
hashCode = prime * hashCode + ((getActiveContexts() == null) ? 0 : getActiveContexts().hashCode());
return hashCode;
}
@Override
public PostContentResult clone() {
try {
return (PostContentResult) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
}