1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447
|
// Code generated by smithy-go-codegen DO NOT EDIT.
package lexruntimeservice
import (
"context"
"fmt"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/aws/signer/v4"
"github.com/aws/aws-sdk-go-v2/service/lexruntimeservice/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
"io"
)
// Sends user input (text or speech) to Amazon Lex. Clients use this API to send
// text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user
// input using the machine learning model that it built for the bot. The
// PostContent operation supports audio input at 8kHz and 16kHz. You can use 8kHz
// audio to achieve higher speech recognition accuracy in telephone audio
// applications. In response, Amazon Lex returns the next message to convey to the
// user. Consider the following example messages:
// - For a user input "I would like a pizza," Amazon Lex might return a response
// with a message eliciting slot data (for example, PizzaSize ): "What size pizza
// would you like?".
// - After the user provides all of the pizza order information, Amazon Lex
// might return a response with a message to get user confirmation: "Order the
// pizza?".
// - After the user replies "Yes" to the confirmation prompt, Amazon Lex might
// return a conclusion statement: "Thank you, your cheese pizza has been ordered.".
//
// Not all Amazon Lex messages require a response from the user. For example,
// conclusion statements do not require a response. Some messages require only a
// yes or no response. In addition to the message , Amazon Lex provides additional
// context about the message in the response that you can use to enhance client
// behavior, such as displaying the appropriate client user interface. Consider the
// following examples:
// - If the message is to elicit slot data, Amazon Lex returns the following
// context information:
// - x-amz-lex-dialog-state header set to ElicitSlot
// - x-amz-lex-intent-name header set to the intent name in the current context
// - x-amz-lex-slot-to-elicit header set to the slot name for which the message
// is eliciting information
// - x-amz-lex-slots header set to a map of slots configured for the intent with
// their current values
// - If the message is a confirmation prompt, the x-amz-lex-dialog-state header
// is set to Confirmation and the x-amz-lex-slot-to-elicit header is omitted.
// - If the message is a clarification prompt configured for the intent,
// indicating that the user intent is not understood, the x-amz-dialog-state
// header is set to ElicitIntent and the x-amz-slot-to-elicit header is omitted.
//
// In addition, Amazon Lex also returns your application-specific sessionAttributes
// . For more information, see Managing Conversation Context (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html)
// .
func (c *Client) PostContent(ctx context.Context, params *PostContentInput, optFns ...func(*Options)) (*PostContentOutput, error) {
if params == nil {
params = &PostContentInput{}
}
result, metadata, err := c.invokeOperation(ctx, "PostContent", params, optFns, c.addOperationPostContentMiddlewares)
if err != nil {
return nil, err
}
out := result.(*PostContentOutput)
out.ResultMetadata = metadata
return out, nil
}
type PostContentInput struct {
// Alias of the Amazon Lex bot.
//
// This member is required.
BotAlias *string
// Name of the Amazon Lex bot.
//
// This member is required.
BotName *string
// You pass this value as the Content-Type HTTP header. Indicates the audio format
// or text. The header value must start with one of the following prefixes:
// - PCM format, audio data must be in little-endian byte order.
// - audio/l16; rate=16000; channels=1
// - audio/x-l16; sample-rate=16000; channel-count=1
// - audio/lpcm; sample-rate=8000; sample-size-bits=16; channel-count=1;
// is-big-endian=false
// - Opus format
// - audio/x-cbr-opus-with-preamble; preamble-size=0; bit-rate=256000;
// frame-size-milliseconds=4
// - Text format
// - text/plain; charset=utf-8
//
// This member is required.
ContentType *string
// User input in PCM or Opus audio format or text format as described in the
// Content-Type HTTP header. You can stream audio data to Amazon Lex or you can
// create a local buffer that captures all of the audio data before sending. In
// general, you get better performance if you stream audio data rather than
// buffering the data locally.
//
// This member is required.
InputStream io.Reader
// The ID of the client application user. Amazon Lex uses this to identify a
// user's conversation with your bot. At runtime, each request must contain the
// userID field. To decide the user ID to use for your application, consider the
// following factors.
// - The userID field must not contain any personally identifiable information of
// the user, for example, name, personal identification numbers, or other end user
// personal information.
// - If you want a user to start a conversation on one device and continue on
// another device, use a user-specific identifier.
// - If you want the same user to be able to have two independent conversations
// on two different devices, choose a device-specific identifier.
// - A user can't have two independent conversations with two different versions
// of the same bot. For example, a user can't have a conversation with the PROD and
// BETA versions of the same bot. If you anticipate that a user will need to have
// conversation with two different versions, for example, while testing, include
// the bot alias in the user ID to separate the two conversations.
//
// This member is required.
UserId *string
// You pass this value as the Accept HTTP header. The message Amazon Lex returns
// in the response can be either text or speech based on the Accept HTTP header
// value in the request.
// - If the value is text/plain; charset=utf-8 , Amazon Lex returns text in the
// response.
// - If the value begins with audio/ , Amazon Lex returns speech in the response.
// Amazon Lex uses Amazon Polly to generate the speech (using the configuration you
// specified in the Accept header). For example, if you specify audio/mpeg as the
// value, Amazon Lex returns speech in the MPEG format.
// - If the value is audio/pcm , the speech returned is audio/pcm in 16-bit,
// little endian format.
// - The following are the accepted values:
// - audio/mpeg
// - audio/ogg
// - audio/pcm
// - text/plain; charset=utf-8
// - audio/* (defaults to mpeg)
Accept *string
// A list of contexts active for the request. A context can be activated when a
// previous intent is fulfilled, or by including the context in the request, If you
// don't specify a list of contexts, Amazon Lex will use the current list of
// contexts for the session. If you specify an empty list, all contexts for the
// session are cleared.
//
// This value conforms to the media type: application/json
ActiveContexts *string
// You pass this value as the x-amz-lex-request-attributes HTTP header.
// Request-specific information passed between Amazon Lex and a client application.
// The value must be a JSON serialized and base64 encoded map with string keys and
// values. The total size of the requestAttributes and sessionAttributes headers
// is limited to 12 KB. The namespace x-amz-lex: is reserved for special
// attributes. Don't create any request attributes with the prefix x-amz-lex: . For
// more information, see Setting Request Attributes (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-request-attribs)
// .
//
// This value conforms to the media type: application/json
RequestAttributes *string
// You pass this value as the x-amz-lex-session-attributes HTTP header.
// Application-specific information passed between Amazon Lex and a client
// application. The value must be a JSON serialized and base64 encoded map with
// string keys and values. The total size of the sessionAttributes and
// requestAttributes headers is limited to 12 KB. For more information, see
// Setting Session Attributes (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-session-attribs)
// .
//
// This value conforms to the media type: application/json
SessionAttributes *string
noSmithyDocumentSerde
}
type PostContentOutput struct {
// 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 value conforms to the media type: application/json
ActiveContexts *string
// 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 value conforms to the media type: application/json
AlternativeIntents *string
// 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.
AudioStream io.ReadCloser
// 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.
BotVersion *string
// Content type as specified in the Accept HTTP header in the request.
ContentType *string
// 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.
DialogState types.DialogState
// 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.
EncodedInputTranscript *string
// The message to convey to the user. The message can come from the bot's
// configuration or from a Lambda function. If the intent is not configured with a
// Lambda function, or if the Lambda function returned Delegate as the
// dialogAction.type 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.
EncodedMessage *string
// 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: The inputTranscript field is deprecated, use the
// encodedInputTranscript field instead. The inputTranscript field is available
// 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.
InputTranscript *string
// Current user intent that Amazon Lex is aware of.
IntentName *string
// 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: The message field is deprecated, use the encodedMessage field
// instead. The message field is available 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.
Message *string
// 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.
MessageFormat types.MessageFormatType
// 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 value conforms to the media type: application/json
NluIntentConfidence *string
// 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.
SentimentResponse *string
// Map of key/value pairs representing the session-specific context information.
//
// This value conforms to the media type: application/json
SessionAttributes *string
// The unique identifier for the session.
SessionId *string
// If the dialogState value is ElicitSlot , returns the name of the slot for which
// Amazon Lex is eliciting a value.
SlotToElicit *string
// 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 value conforms to the media type: application/json
Slots *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationPostContentMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsRestjson1_serializeOpPostContent{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsRestjson1_deserializeOpPostContent{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "PostContent"); err != nil {
return fmt.Errorf("add protocol finalizers: %v", err)
}
if err = addlegacyEndpointContextSetter(stack, options); err != nil {
return err
}
if err = addSetLoggerMiddleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddClientRequestIDMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddComputeContentLengthMiddleware(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = v4.AddUnsignedPayloadMiddleware(stack); err != nil {
return err
}
if err = v4.AddContentSHA256HeaderMiddleware(stack); err != nil {
return err
}
if err = addRetryMiddlewares(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
return err
}
if err = awsmiddleware.AddRecordResponseTiming(stack); err != nil {
return err
}
if err = addClientUserAgent(stack, options); err != nil {
return err
}
if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = addSetLegacyContextSigningOptionsMiddleware(stack); err != nil {
return err
}
if err = addOpPostContentValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opPostContent(options.Region), middleware.Before); err != nil {
return err
}
if err = awsmiddleware.AddRecursionDetection(stack); err != nil {
return err
}
if err = addRequestIDRetrieverMiddleware(stack); err != nil {
return err
}
if err = addResponseErrorMiddleware(stack); err != nil {
return err
}
if err = addRequestResponseLogging(stack, options); err != nil {
return err
}
if err = addDisableHTTPSMiddleware(stack, options); err != nil {
return err
}
return nil
}
func newServiceMetadataMiddleware_opPostContent(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "PostContent",
}
}
|