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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122
// ================================================================= // // * WARNING * // // This file is generated! // // Changes made to this file will be overwritten. If changes are // required to the generated code, the service_crategen project // must be updated to generate the changes. // // ================================================================= use std::error::Error; use std::fmt; use async_trait::async_trait; use rusoto_core::credential::ProvideAwsCredentials; use rusoto_core::region; use rusoto_core::request::{BufferedHttpResponse, DispatchSignedRequest}; use rusoto_core::{Client, RusotoError}; use rusoto_core::param::{Params, ServiceParams}; use rusoto_core::proto; use rusoto_core::signature::SignedRequest; #[allow(unused_imports)] use serde::{Deserialize, Serialize}; use serde_json; /// <p>Represents an option to be shown on the client platform (Facebook, Slack, etc.)</p> #[derive(Default, Debug, Clone, PartialEq, Deserialize)] #[cfg_attr(any(test, feature = "serialize_structs"), derive(Serialize))] pub struct Button { /// <p>Text that is visible to the user on the button.</p> #[serde(rename = "text")] pub text: String, /// <p>The value sent to Amazon Lex when a user chooses the button. For example, consider button text "NYC." When the user chooses the button, the value sent can be "New York City."</p> #[serde(rename = "value")] pub value: String, } #[derive(Default, Debug, Clone, PartialEq, Serialize)] #[cfg_attr(feature = "deserialize_structs", derive(Deserialize))] pub struct DeleteSessionRequest { /// <p>The alias in use for the bot that contains the session data.</p> #[serde(rename = "botAlias")] pub bot_alias: String, /// <p>The name of the bot that contains the session data.</p> #[serde(rename = "botName")] pub bot_name: String, /// <p>The identifier of the user associated with the session data.</p> #[serde(rename = "userId")] pub user_id: String, } #[derive(Default, Debug, Clone, PartialEq, Deserialize)] #[cfg_attr(any(test, feature = "serialize_structs"), derive(Serialize))] pub struct DeleteSessionResponse { /// <p>The alias in use for the bot associated with the session data.</p> #[serde(rename = "botAlias")] #[serde(skip_serializing_if = "Option::is_none")] pub bot_alias: Option<String>, /// <p>The name of the bot associated with the session data.</p> #[serde(rename = "botName")] #[serde(skip_serializing_if = "Option::is_none")] pub bot_name: Option<String>, /// <p>The unique identifier for the session.</p> #[serde(rename = "sessionId")] #[serde(skip_serializing_if = "Option::is_none")] pub session_id: Option<String>, /// <p>The ID of the client application user.</p> #[serde(rename = "userId")] #[serde(skip_serializing_if = "Option::is_none")] pub user_id: Option<String>, } /// <p>Describes the next action that the bot should take in its interaction with the user and provides information about the context in which the action takes place. Use the <code>DialogAction</code> data type to set the interaction to a specific state, or to return the interaction to a previous state.</p> #[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] pub struct DialogAction { /// <p><p>The fulfillment state of the intent. The possible values are:</p> <ul> <li> <p> <code>Failed</code> - The Lambda function associated with the intent failed to fulfill the intent.</p> </li> <li> <p> <code>Fulfilled</code> - The intent has fulfilled by the Lambda function associated with the intent. </p> </li> <li> <p> <code>ReadyForFulfillment</code> - All of the information necessary for the intent is present and the intent ready to be fulfilled by the client application.</p> </li> </ul></p> #[serde(rename = "fulfillmentState")] #[serde(skip_serializing_if = "Option::is_none")] pub fulfillment_state: Option<String>, /// <p>The name of the intent.</p> #[serde(rename = "intentName")] #[serde(skip_serializing_if = "Option::is_none")] pub intent_name: Option<String>, /// <p>The message that should be shown to the user. If you don't specify a message, Amazon Lex will use the message configured for the intent.</p> #[serde(rename = "message")] #[serde(skip_serializing_if = "Option::is_none")] pub message: Option<String>, /// <ul> <li> <p> <code>PlainText</code> - The message contains plain UTF-8 text.</p> </li> <li> <p> <code>CustomPayload</code> - The message is a custom format for the client.</p> </li> <li> <p> <code>SSML</code> - The message contains text formatted for voice output.</p> </li> <li> <p> <code>Composite</code> - The message contains an escaped JSON object containing one or more messages. For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/howitworks-manage-prompts.html">Message Groups</a>. </p> </li> </ul> #[serde(rename = "messageFormat")] #[serde(skip_serializing_if = "Option::is_none")] pub message_format: Option<String>, /// <p>The name of the slot that should be elicited from the user.</p> #[serde(rename = "slotToElicit")] #[serde(skip_serializing_if = "Option::is_none")] pub slot_to_elicit: Option<String>, /// <p>Map of the slots that have been gathered and their values. </p> #[serde(rename = "slots")] #[serde(skip_serializing_if = "Option::is_none")] pub slots: Option<::std::collections::HashMap<String, String>>, /// <p><p>The next action that the bot should take in its interaction with the user. The possible values are:</p> <ul> <li> <p> <code>ConfirmIntent</code> - The next action is asking the user if the intent is complete and ready to be fulfilled. This is a yes/no question such as "Place the order?"</p> </li> <li> <p> <code>Close</code> - Indicates that the there will not be a response from the user. For example, the statement "Your order has been placed" does not require a response.</p> </li> <li> <p> <code>Delegate</code> - The next action is determined by Amazon Lex.</p> </li> <li> <p> <code>ElicitIntent</code> - The next action is to determine the intent that the user wants to fulfill.</p> </li> <li> <p> <code>ElicitSlot</code> - The next action is to elicit a slot value from the user.</p> </li> </ul></p> #[serde(rename = "type")] pub type_: String, } /// <p>Represents an option rendered to the user when a prompt is shown. It could be an image, a button, a link, or text. </p> #[derive(Default, Debug, Clone, PartialEq, Deserialize)] #[cfg_attr(any(test, feature = "serialize_structs"), derive(Serialize))] pub struct GenericAttachment { /// <p>The URL of an attachment to the response card.</p> #[serde(rename = "attachmentLinkUrl")] #[serde(skip_serializing_if = "Option::is_none")] pub attachment_link_url: Option<String>, /// <p>The list of options to show to the user.</p> #[serde(rename = "buttons")] #[serde(skip_serializing_if = "Option::is_none")] pub buttons: Option<Vec<Button>>, /// <p>The URL of an image that is displayed to the user.</p> #[serde(rename = "imageUrl")] #[serde(skip_serializing_if = "Option::is_none")] pub image_url: Option<String>, /// <p>The subtitle shown below the title.</p> #[serde(rename = "subTitle")] #[serde(skip_serializing_if = "Option::is_none")] pub sub_title: Option<String>, /// <p>The title of the option.</p> #[serde(rename = "title")] #[serde(skip_serializing_if = "Option::is_none")] pub title: Option<String>, } #[derive(Default, Debug, Clone, PartialEq, Serialize)] #[cfg_attr(feature = "deserialize_structs", derive(Deserialize))] pub struct GetSessionRequest { /// <p>The alias in use for the bot that contains the session data.</p> #[serde(rename = "botAlias")] pub bot_alias: String, /// <p>The name of the bot that contains the session data.</p> #[serde(rename = "botName")] pub bot_name: String, /// <p>A string used to filter the intents returned in the <code>recentIntentSummaryView</code> structure. </p> <p>When you specify a filter, only intents with their <code>checkpointLabel</code> field set to that string are returned.</p> #[serde(rename = "checkpointLabelFilter")] #[serde(skip_serializing_if = "Option::is_none")] pub checkpoint_label_filter: Option<String>, /// <p>The ID of the client application user. Amazon Lex uses this to identify a user's conversation with your bot. </p> #[serde(rename = "userId")] pub user_id: String, } #[derive(Default, Debug, Clone, PartialEq, Deserialize)] #[cfg_attr(any(test, feature = "serialize_structs"), derive(Serialize))] pub struct GetSessionResponse { /// <p>Describes the current state of the bot.</p> #[serde(rename = "dialogAction")] #[serde(skip_serializing_if = "Option::is_none")] pub dialog_action: Option<DialogAction>, /// <p>An array of information about the intents used in the session. The array can contain a maximum of three summaries. If more than three intents are used in the session, the <code>recentIntentSummaryView</code> operation contains information about the last three intents used.</p> <p>If you set the <code>checkpointLabelFilter</code> parameter in the request, the array contains only the intents with the specified label.</p> #[serde(rename = "recentIntentSummaryView")] #[serde(skip_serializing_if = "Option::is_none")] pub recent_intent_summary_view: Option<Vec<IntentSummary>>, /// <p>Map of key/value pairs representing the session-specific context information. It contains application information passed between Amazon Lex and a client application.</p> #[serde(rename = "sessionAttributes")] #[serde(skip_serializing_if = "Option::is_none")] pub session_attributes: Option<::std::collections::HashMap<String, String>>, /// <p>A unique identifier for the session.</p> #[serde(rename = "sessionId")] #[serde(skip_serializing_if = "Option::is_none")] pub session_id: Option<String>, } /// <p>Provides information about the state of an intent. You can use this information to get the current state of an intent so that you can process the intent, or so that you can return the intent to its previous state.</p> #[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] pub struct IntentSummary { /// <p>A user-defined label that identifies a particular intent. You can use this label to return to a previous intent. </p> <p>Use the <code>checkpointLabelFilter</code> parameter of the <code>GetSessionRequest</code> operation to filter the intents returned by the operation to those with only the specified label.</p> #[serde(rename = "checkpointLabel")] #[serde(skip_serializing_if = "Option::is_none")] pub checkpoint_label: Option<String>, /// <p><p>The status of the intent after the user responds to the confirmation prompt. If the user confirms the intent, Amazon Lex sets this field to <code>Confirmed</code>. If the user denies the intent, Amazon Lex sets this value to <code>Denied</code>. The possible values are:</p> <ul> <li> <p> <code>Confirmed</code> - The user has responded "Yes" to the confirmation prompt, confirming that the intent is complete and that it is ready to be fulfilled.</p> </li> <li> <p> <code>Denied</code> - The user has responded "No" to the confirmation prompt.</p> </li> <li> <p> <code>None</code> - The user has never been prompted for confirmation; or, the user was prompted but did not confirm or deny the prompt.</p> </li> </ul></p> #[serde(rename = "confirmationStatus")] #[serde(skip_serializing_if = "Option::is_none")] pub confirmation_status: Option<String>, /// <p><p>The next action that the bot should take in its interaction with the user. The possible values are:</p> <ul> <li> <p> <code>ConfirmIntent</code> - The next action is asking the user if the intent is complete and ready to be fulfilled. This is a yes/no question such as "Place the order?"</p> </li> <li> <p> <code>Close</code> - Indicates that the there will not be a response from the user. For example, the statement "Your order has been placed" does not require a response.</p> </li> <li> <p> <code>ElicitIntent</code> - The next action is to determine the intent that the user wants to fulfill.</p> </li> <li> <p> <code>ElicitSlot</code> - The next action is to elicit a slot value from the user.</p> </li> </ul></p> #[serde(rename = "dialogActionType")] pub dialog_action_type: String, /// <p><p>The fulfillment state of the intent. The possible values are:</p> <ul> <li> <p> <code>Failed</code> - The Lambda function associated with the intent failed to fulfill the intent.</p> </li> <li> <p> <code>Fulfilled</code> - The intent has fulfilled by the Lambda function associated with the intent. </p> </li> <li> <p> <code>ReadyForFulfillment</code> - All of the information necessary for the intent is present and the intent ready to be fulfilled by the client application.</p> </li> </ul></p> #[serde(rename = "fulfillmentState")] #[serde(skip_serializing_if = "Option::is_none")] pub fulfillment_state: Option<String>, /// <p>The name of the intent.</p> #[serde(rename = "intentName")] #[serde(skip_serializing_if = "Option::is_none")] pub intent_name: Option<String>, /// <p>The next slot to elicit from the user. If there is not slot to elicit, the field is blank.</p> #[serde(rename = "slotToElicit")] #[serde(skip_serializing_if = "Option::is_none")] pub slot_to_elicit: Option<String>, /// <p>Map of the slots that have been gathered and their values. </p> #[serde(rename = "slots")] #[serde(skip_serializing_if = "Option::is_none")] pub slots: Option<::std::collections::HashMap<String, String>>, } #[derive(Default, Debug, Clone, PartialEq, Serialize)] #[cfg_attr(feature = "deserialize_structs", derive(Deserialize))] pub struct PostContentRequest { /// <p><p> You pass this value as the <code>Accept</code> HTTP header. </p> <p> The message Amazon Lex returns in the response can be either text or speech based on the <code>Accept</code> HTTP header value in the request. </p> <ul> <li> <p> If the value is <code>text/plain; charset=utf-8</code>, Amazon Lex returns text in the response. </p> </li> <li> <p> If the value begins with <code>audio/</code>, Amazon Lex returns speech in the response. Amazon Lex uses Amazon Polly to generate the speech (using the configuration you specified in the <code>Accept</code> header). For example, if you specify <code>audio/mpeg</code> as the value, Amazon Lex returns speech in the MPEG format.</p> </li> <li> <p>If the value is <code>audio/pcm</code>, the speech returned is <code>audio/pcm</code> in 16-bit, little endian format. </p> </li> <li> <p>The following are the accepted values:</p> <ul> <li> <p>audio/mpeg</p> </li> <li> <p>audio/ogg</p> </li> <li> <p>audio/pcm</p> </li> <li> <p>text/plain; charset=utf-8</p> </li> <li> <p>audio/* (defaults to mpeg)</p> </li> </ul> </li> </ul></p> #[serde(rename = "accept")] #[serde(skip_serializing_if = "Option::is_none")] pub accept: Option<String>, /// <p>Alias of the Amazon Lex bot.</p> #[serde(rename = "botAlias")] pub bot_alias: String, /// <p>Name of the Amazon Lex bot.</p> #[serde(rename = "botName")] pub bot_name: String, /// <p><p> You pass this value as the <code>Content-Type</code> HTTP header. </p> <p> Indicates the audio format or text. The header value must start with one of the following prefixes: </p> <ul> <li> <p>PCM format, audio data must be in little-endian byte order.</p> <ul> <li> <p>audio/l16; rate=16000; channels=1</p> </li> <li> <p>audio/x-l16; sample-rate=16000; channel-count=1</p> </li> <li> <p>audio/lpcm; sample-rate=8000; sample-size-bits=16; channel-count=1; is-big-endian=false </p> </li> </ul> </li> <li> <p>Opus format</p> <ul> <li> <p>audio/x-cbr-opus-with-preamble; preamble-size=0; bit-rate=256000; frame-size-milliseconds=4</p> </li> </ul> </li> <li> <p>Text format</p> <ul> <li> <p>text/plain; charset=utf-8</p> </li> </ul> </li> </ul></p> #[serde(rename = "contentType")] pub content_type: String, /// <p> User input in PCM or Opus audio format or text format as described in the <code>Content-Type</code> HTTP header. </p> <p>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.</p> #[serde(rename = "inputStream")] #[serde( deserialize_with = "::rusoto_core::serialization::SerdeBlob::deserialize_blob", serialize_with = "::rusoto_core::serialization::SerdeBlob::serialize_blob", default )] pub input_stream: bytes::Bytes, /// <p>You pass this value as the <code>x-amz-lex-request-attributes</code> HTTP header.</p> <p>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 <code>requestAttributes</code> and <code>sessionAttributes</code> headers is limited to 12 KB.</p> <p>The namespace <code>x-amz-lex:</code> is reserved for special attributes. Don't create any request attributes with the prefix <code>x-amz-lex:</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-request-attribs">Setting Request Attributes</a>.</p> #[serde(rename = "requestAttributes")] #[serde(skip_serializing_if = "Option::is_none")] pub request_attributes: Option<String>, /// <p>You pass this value as the <code>x-amz-lex-session-attributes</code> HTTP header.</p> <p>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 <code>sessionAttributes</code> and <code>requestAttributes</code> headers is limited to 12 KB.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-session-attribs">Setting Session Attributes</a>.</p> #[serde(rename = "sessionAttributes")] #[serde(skip_serializing_if = "Option::is_none")] pub session_attributes: Option<String>, /// <p><p>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 <code>userID</code> field.</p> <p>To decide the user ID to use for your application, consider the following factors.</p> <ul> <li> <p>The <code>userID</code> field must not contain any personally identifiable information of the user, for example, name, personal identification numbers, or other end user personal information.</p> </li> <li> <p>If you want a user to start a conversation on one device and continue on another device, use a user-specific identifier.</p> </li> <li> <p>If you want the same user to be able to have two independent conversations on two different devices, choose a device-specific identifier.</p> </li> <li> <p>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.</p> </li> </ul></p> #[serde(rename = "userId")] pub user_id: String, } #[derive(Default, Debug, Clone, PartialEq)] pub struct PostContentResponse { /// <p>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 <code>clarificationPrompt</code> configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends the <code>confirmationPrompt</code>. 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. </p> pub audio_stream: Option<bytes::Bytes>, /// <p>Content type as specified in the <code>Accept</code> HTTP header in the request.</p> pub content_type: Option<String>, /// <p><p>Identifies the current state of the user interaction. Amazon Lex returns one of the following values as <code>dialogState</code>. The client can optionally use this information to customize the user interface. </p> <ul> <li> <p> <code>ElicitIntent</code> - Amazon Lex wants to elicit the user's intent. Consider the following examples: </p> <p> 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. </p> </li> <li> <p> <code>ConfirmIntent</code> - Amazon Lex is expecting a "yes" or "no" response. </p> <p>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). </p> </li> <li> <p> <code>ElicitSlot</code> - Amazon Lex is expecting the value of a slot for the current intent. </p> <p> 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. </p> </li> <li> <p> <code>Fulfilled</code> - Conveys that the Lambda function has successfully fulfilled the intent. </p> </li> <li> <p> <code>ReadyForFulfillment</code> - Conveys that the client has to fulfill the request. </p> </li> <li> <p> <code>Failed</code> - Conveys that the conversation with the user failed. </p> <p> 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. </p> </li> </ul></p> pub dialog_state: Option<String>, /// <p>The text used to process the request.</p> <p>If the input was an audio stream, the <code>inputTranscript</code> 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.</p> pub input_transcript: Option<String>, /// <p>Current user intent that Amazon Lex is aware of.</p> pub intent_name: Option<String>, /// <p>The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.</p> <p>If the intent is not configured with a Lambda function, or if the Lambda function returned <code>Delegate</code> as the <code>dialogAction.type</code> 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.</p> <p>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 <a>msg-prompts-formats</a>.</p> <p>If the Lambda function returns a message, Amazon Lex passes it to the client in its response.</p> pub message: Option<String>, /// <p><p>The format of the response message. One of the following values:</p> <ul> <li> <p> <code>PlainText</code> - The message contains plain UTF-8 text.</p> </li> <li> <p> <code>CustomPayload</code> - The message is a custom format for the client.</p> </li> <li> <p> <code>SSML</code> - The message contains text formatted for voice output.</p> </li> <li> <p> <code>Composite</code> - 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.</p> </li> </ul></p> pub message_format: Option<String>, /// <p>The sentiment expressed in and utterance.</p> <p>When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.</p> pub sentiment_response: Option<String>, /// <p> Map of key/value pairs representing the session-specific context information. </p> pub session_attributes: Option<String>, /// <p>The unique identifier for the session.</p> pub session_id: Option<String>, /// <p> If the <code>dialogState</code> value is <code>ElicitSlot</code>, returns the name of the slot for which Amazon Lex is eliciting a value. </p> pub slot_to_elicit: Option<String>, /// <p>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.</p> <p>Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the <code>valueSelectionStrategy</code> selected when the slot type was created or updated. If <code>valueSelectionStrategy</code> is set to <code>ORIGINAL_VALUE</code>, the value provided by the user is returned, if the user value is similar to the slot values. If <code>valueSelectionStrategy</code> is set to <code>TOP_RESOLUTION</code> Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a <code>valueSelectionStrategy</code>, the default is <code>ORIGINAL_VALUE</code>.</p> pub slots: Option<String>, } #[derive(Default, Debug, Clone, PartialEq, Serialize)] #[cfg_attr(feature = "deserialize_structs", derive(Deserialize))] pub struct PostTextRequest { /// <p>The alias of the Amazon Lex bot.</p> #[serde(rename = "botAlias")] pub bot_alias: String, /// <p>The name of the Amazon Lex bot.</p> #[serde(rename = "botName")] pub bot_name: String, /// <p>The text that the user entered (Amazon Lex interprets this text).</p> #[serde(rename = "inputText")] pub input_text: String, /// <p>Request-specific information passed between Amazon Lex and a client application.</p> <p>The namespace <code>x-amz-lex:</code> is reserved for special attributes. Don't create any request attributes with the prefix <code>x-amz-lex:</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-request-attribs">Setting Request Attributes</a>.</p> #[serde(rename = "requestAttributes")] #[serde(skip_serializing_if = "Option::is_none")] pub request_attributes: Option<::std::collections::HashMap<String, String>>, /// <p>Application-specific information passed between Amazon Lex and a client application.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-session-attribs">Setting Session Attributes</a>.</p> #[serde(rename = "sessionAttributes")] #[serde(skip_serializing_if = "Option::is_none")] pub session_attributes: Option<::std::collections::HashMap<String, String>>, /// <p><p>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 <code>userID</code> field.</p> <p>To decide the user ID to use for your application, consider the following factors.</p> <ul> <li> <p>The <code>userID</code> field must not contain any personally identifiable information of the user, for example, name, personal identification numbers, or other end user personal information.</p> </li> <li> <p>If you want a user to start a conversation on one device and continue on another device, use a user-specific identifier.</p> </li> <li> <p>If you want the same user to be able to have two independent conversations on two different devices, choose a device-specific identifier.</p> </li> <li> <p>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.</p> </li> </ul></p> #[serde(rename = "userId")] pub user_id: String, } #[derive(Default, Debug, Clone, PartialEq, Deserialize)] #[cfg_attr(any(test, feature = "serialize_structs"), derive(Serialize))] pub struct PostTextResponse { /// <p><p> Identifies the current state of the user interaction. Amazon Lex returns one of the following values as <code>dialogState</code>. The client can optionally use this information to customize the user interface. </p> <ul> <li> <p> <code>ElicitIntent</code> - Amazon Lex wants to elicit user intent. </p> <p>For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialogState.</p> </li> <li> <p> <code>ConfirmIntent</code> - Amazon Lex is expecting a "yes" or "no" response. </p> <p> For example, Amazon Lex wants user confirmation before fulfilling an intent. </p> <p>Instead of a simple "yes" or "no," a user might respond with additional information. For example, "yes, but make it thick crust pizza" or "no, I want to order a drink". Amazon Lex can process such additional information (in these examples, update the crust type slot value, or change intent from OrderPizza to OrderDrink).</p> </li> <li> <p> <code>ElicitSlot</code> - Amazon Lex is expecting a slot value for the current intent. </p> <p>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. </p> </li> <li> <p> <code>Fulfilled</code> - Conveys that the Lambda function configured for the intent has successfully fulfilled the intent. </p> </li> <li> <p> <code>ReadyForFulfillment</code> - Conveys that the client has to fulfill the intent. </p> </li> <li> <p> <code>Failed</code> - Conveys that the conversation with the user failed. </p> <p> This can happen for various reasons including that the user did not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or the Lambda function failed to fulfill the intent. </p> </li> </ul></p> #[serde(rename = "dialogState")] #[serde(skip_serializing_if = "Option::is_none")] pub dialog_state: Option<String>, /// <p>The current user intent that Amazon Lex is aware of.</p> #[serde(rename = "intentName")] #[serde(skip_serializing_if = "Option::is_none")] pub intent_name: Option<String>, /// <p>The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.</p> <p>If the intent is not configured with a Lambda function, or if the Lambda function returned <code>Delegate</code> as the <code>dialogAction.type</code> 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.</p> <p>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 <a>msg-prompts-formats</a>.</p> <p>If the Lambda function returns a message, Amazon Lex passes it to the client in its response.</p> #[serde(rename = "message")] #[serde(skip_serializing_if = "Option::is_none")] pub message: Option<String>, /// <p><p>The format of the response message. One of the following values:</p> <ul> <li> <p> <code>PlainText</code> - The message contains plain UTF-8 text.</p> </li> <li> <p> <code>CustomPayload</code> - The message is a custom format defined by the Lambda function.</p> </li> <li> <p> <code>SSML</code> - The message contains text formatted for voice output.</p> </li> <li> <p> <code>Composite</code> - 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.</p> </li> </ul></p> #[serde(rename = "messageFormat")] #[serde(skip_serializing_if = "Option::is_none")] pub message_format: Option<String>, /// <p>Represents the options that the user has to respond to the current prompt. Response Card can come from the bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code hook (Lambda function). </p> #[serde(rename = "responseCard")] #[serde(skip_serializing_if = "Option::is_none")] pub response_card: Option<ResponseCard>, /// <p>The sentiment expressed in and utterance.</p> <p>When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.</p> #[serde(rename = "sentimentResponse")] #[serde(skip_serializing_if = "Option::is_none")] pub sentiment_response: Option<SentimentResponse>, /// <p>A map of key-value pairs representing the session-specific context information.</p> #[serde(rename = "sessionAttributes")] #[serde(skip_serializing_if = "Option::is_none")] pub session_attributes: Option<::std::collections::HashMap<String, String>>, /// <p>A unique identifier for the session.</p> #[serde(rename = "sessionId")] #[serde(skip_serializing_if = "Option::is_none")] pub session_id: Option<String>, /// <p>If the <code>dialogState</code> value is <code>ElicitSlot</code>, returns the name of the slot for which Amazon Lex is eliciting a value. </p> #[serde(rename = "slotToElicit")] #[serde(skip_serializing_if = "Option::is_none")] pub slot_to_elicit: Option<String>, /// <p> The intent slots that Amazon Lex detected from the user input in the conversation. </p> <p>Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the <code>valueSelectionStrategy</code> selected when the slot type was created or updated. If <code>valueSelectionStrategy</code> is set to <code>ORIGINAL_VALUE</code>, the value provided by the user is returned, if the user value is similar to the slot values. If <code>valueSelectionStrategy</code> is set to <code>TOP_RESOLUTION</code> Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a <code>valueSelectionStrategy</code>, the default is <code>ORIGINAL_VALUE</code>.</p> #[serde(rename = "slots")] #[serde(skip_serializing_if = "Option::is_none")] pub slots: Option<::std::collections::HashMap<String, Option<String>>>, } #[derive(Default, Debug, Clone, PartialEq, Serialize)] #[cfg_attr(feature = "deserialize_structs", derive(Deserialize))] pub struct PutSessionRequest { /// <p><p>The message that Amazon Lex returns in the response can be either text or speech based depending on the value of this field.</p> <ul> <li> <p>If the value is <code>text/plain; charset=utf-8</code>, Amazon Lex returns text in the response.</p> </li> <li> <p>If the value begins with <code>audio/</code>, Amazon Lex returns speech in the response. Amazon Lex uses Amazon Polly to generate the speech in the configuration that you specify. For example, if you specify <code>audio/mpeg</code> as the value, Amazon Lex returns speech in the MPEG format.</p> </li> <li> <p>If the value is <code>audio/pcm</code>, the speech is returned as <code>audio/pcm</code> in 16-bit, little endian format.</p> </li> <li> <p>The following are the accepted values:</p> <ul> <li> <p> <code>audio/mpeg</code> </p> </li> <li> <p> <code>audio/ogg</code> </p> </li> <li> <p> <code>audio/pcm</code> </p> </li> <li> <p> <code>audio/*</code> (defaults to mpeg)</p> </li> <li> <p> <code>text/plain; charset=utf-8</code> </p> </li> </ul> </li> </ul></p> #[serde(rename = "accept")] #[serde(skip_serializing_if = "Option::is_none")] pub accept: Option<String>, /// <p>The alias in use for the bot that contains the session data.</p> #[serde(rename = "botAlias")] pub bot_alias: String, /// <p>The name of the bot that contains the session data.</p> #[serde(rename = "botName")] pub bot_name: String, /// <p>Sets the next action that the bot should take to fulfill the conversation.</p> #[serde(rename = "dialogAction")] #[serde(skip_serializing_if = "Option::is_none")] pub dialog_action: Option<DialogAction>, /// <p>A summary of the recent intents for the bot. You can use the intent summary view to set a checkpoint label on an intent and modify attributes of intents. You can also use it to remove or add intent summary objects to the list.</p> <p>An intent that you modify or add to the list must make sense for the bot. For example, the intent name must be valid for the bot. You must provide valid values for:</p> <ul> <li> <p> <code>intentName</code> </p> </li> <li> <p>slot names</p> </li> <li> <p> <code>slotToElict</code> </p> </li> </ul> <p>If you send the <code>recentIntentSummaryView</code> parameter in a <code>PutSession</code> request, the contents of the new summary view replaces the old summary view. For example, if a <code>GetSession</code> request returns three intents in the summary view and you call <code>PutSession</code> with one intent in the summary view, the next call to <code>GetSession</code> will only return one intent.</p> #[serde(rename = "recentIntentSummaryView")] #[serde(skip_serializing_if = "Option::is_none")] pub recent_intent_summary_view: Option<Vec<IntentSummary>>, /// <p>Map of key/value pairs representing the session-specific context information. It contains application information passed between Amazon Lex and a client application.</p> #[serde(rename = "sessionAttributes")] #[serde(skip_serializing_if = "Option::is_none")] pub session_attributes: Option<::std::collections::HashMap<String, String>>, /// <p>The ID of the client application user. Amazon Lex uses this to identify a user's conversation with your bot. </p> #[serde(rename = "userId")] pub user_id: String, } #[derive(Default, Debug, Clone, PartialEq)] pub struct PutSessionResponse { /// <p>The audio version of the message to convey to the user.</p> pub audio_stream: Option<bytes::Bytes>, /// <p>Content type as specified in the <code>Accept</code> HTTP header in the request.</p> pub content_type: Option<String>, /// <p><p/> <ul> <li> <p> <code>ConfirmIntent</code> - Amazon Lex is expecting a "yes" or "no" response to confirm the intent before fulfilling an intent.</p> </li> <li> <p> <code>ElicitIntent</code> - Amazon Lex wants to elicit the user's intent.</p> </li> <li> <p> <code>ElicitSlot</code> - Amazon Lex is expecting the value of a slot for the current intent.</p> </li> <li> <p> <code>Failed</code> - Conveys that the conversation with the user has failed. This can happen for various reasons, including the user does not provide an appropriate response to prompts from the service, or if the Lambda function fails to fulfill the intent.</p> </li> <li> <p> <code>Fulfilled</code> - Conveys that the Lambda function has sucessfully fulfilled the intent.</p> </li> <li> <p> <code>ReadyForFulfillment</code> - Conveys that the client has to fulfill the intent.</p> </li> </ul></p> pub dialog_state: Option<String>, /// <p>The name of the current intent.</p> pub intent_name: Option<String>, /// <p>The next message that should be presented to the user.</p> pub message: Option<String>, /// <p><p>The format of the response message. One of the following values:</p> <ul> <li> <p> <code>PlainText</code> - The message contains plain UTF-8 text.</p> </li> <li> <p> <code>CustomPayload</code> - The message is a custom format for the client.</p> </li> <li> <p> <code>SSML</code> - The message contains text formatted for voice output.</p> </li> <li> <p> <code>Composite</code> - 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.</p> </li> </ul></p> pub message_format: Option<String>, /// <p>Map of key/value pairs representing session-specific context information.</p> pub session_attributes: Option<String>, /// <p>A unique identifier for the session.</p> pub session_id: Option<String>, /// <p>If the <code>dialogState</code> is <code>ElicitSlot</code>, returns the name of the slot for which Amazon Lex is eliciting a value.</p> pub slot_to_elicit: Option<String>, /// <p>Map of zero or more intent slots Amazon Lex detected from the user input during the conversation.</p> <p>Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the <code>valueSelectionStrategy</code> selected when the slot type was created or updated. If <code>valueSelectionStrategy</code> is set to <code>ORIGINAL_VALUE</code>, the value provided by the user is returned, if the user value is similar to the slot values. If <code>valueSelectionStrategy</code> is set to <code>TOP_RESOLUTION</code> Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a <code>valueSelectionStrategy</code> the default is <code>ORIGINAL_VALUE</code>. </p> pub slots: Option<String>, } /// <p>If you configure a response card when creating your bots, Amazon Lex substitutes the session attributes and slot values that are available, and then returns it. The response card can also come from a Lambda function ( <code>dialogCodeHook</code> and <code>fulfillmentActivity</code> on an intent).</p> #[derive(Default, Debug, Clone, PartialEq, Deserialize)] #[cfg_attr(any(test, feature = "serialize_structs"), derive(Serialize))] pub struct ResponseCard { /// <p>The content type of the response.</p> #[serde(rename = "contentType")] #[serde(skip_serializing_if = "Option::is_none")] pub content_type: Option<String>, /// <p>An array of attachment objects representing options.</p> #[serde(rename = "genericAttachments")] #[serde(skip_serializing_if = "Option::is_none")] pub generic_attachments: Option<Vec<GenericAttachment>>, /// <p>The version of the response card format.</p> #[serde(rename = "version")] #[serde(skip_serializing_if = "Option::is_none")] pub version: Option<String>, } /// <p>The sentiment expressed in an utterance.</p> <p>When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field structure contains the result of the analysis.</p> #[derive(Default, Debug, Clone, PartialEq, Deserialize)] #[cfg_attr(any(test, feature = "serialize_structs"), derive(Serialize))] pub struct SentimentResponse { /// <p>The inferred sentiment that Amazon Comprehend has the highest confidence in.</p> #[serde(rename = "sentimentLabel")] #[serde(skip_serializing_if = "Option::is_none")] pub sentiment_label: Option<String>, /// <p>The likelihood that the sentiment was correctly inferred.</p> #[serde(rename = "sentimentScore")] #[serde(skip_serializing_if = "Option::is_none")] pub sentiment_score: Option<String>, } /// Errors returned by DeleteSession #[derive(Debug, PartialEq)] pub enum DeleteSessionError { /// <p> Request validation failed, there is no usable message in the context, or the bot build failed, is still in progress, or contains unbuilt changes. </p> BadRequest(String), /// <p> Two clients are using the same AWS account, Amazon Lex bot, and user ID. </p> Conflict(String), /// <p>Internal service error. Retry the call.</p> InternalFailure(String), /// <p>Exceeded a limit.</p> LimitExceeded(String), /// <p>The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.</p> NotFound(String), } impl DeleteSessionError { pub fn from_response(res: BufferedHttpResponse) -> RusotoError<DeleteSessionError> { if let Some(err) = proto::json::Error::parse_rest(&res) { match err.typ.as_str() { "BadRequestException" => { return RusotoError::Service(DeleteSessionError::BadRequest(err.msg)) } "ConflictException" => { return RusotoError::Service(DeleteSessionError::Conflict(err.msg)) } "InternalFailureException" => { return RusotoError::Service(DeleteSessionError::InternalFailure(err.msg)) } "LimitExceededException" => { return RusotoError::Service(DeleteSessionError::LimitExceeded(err.msg)) } "NotFoundException" => { return RusotoError::Service(DeleteSessionError::NotFound(err.msg)) } "ValidationException" => return RusotoError::Validation(err.msg), _ => {} } } RusotoError::Unknown(res) } } impl fmt::Display for DeleteSessionError { #[allow(unused_variables)] fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { match *self { DeleteSessionError::BadRequest(ref cause) => write!(f, "{}", cause), DeleteSessionError::Conflict(ref cause) => write!(f, "{}", cause), DeleteSessionError::InternalFailure(ref cause) => write!(f, "{}", cause), DeleteSessionError::LimitExceeded(ref cause) => write!(f, "{}", cause), DeleteSessionError::NotFound(ref cause) => write!(f, "{}", cause), } } } impl Error for DeleteSessionError {} /// Errors returned by GetSession #[derive(Debug, PartialEq)] pub enum GetSessionError { /// <p> Request validation failed, there is no usable message in the context, or the bot build failed, is still in progress, or contains unbuilt changes. </p> BadRequest(String), /// <p>Internal service error. Retry the call.</p> InternalFailure(String), /// <p>Exceeded a limit.</p> LimitExceeded(String), /// <p>The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.</p> NotFound(String), } impl GetSessionError { pub fn from_response(res: BufferedHttpResponse) -> RusotoError<GetSessionError> { if let Some(err) = proto::json::Error::parse_rest(&res) { match err.typ.as_str() { "BadRequestException" => { return RusotoError::Service(GetSessionError::BadRequest(err.msg)) } "InternalFailureException" => { return RusotoError::Service(GetSessionError::InternalFailure(err.msg)) } "LimitExceededException" => { return RusotoError::Service(GetSessionError::LimitExceeded(err.msg)) } "NotFoundException" => { return RusotoError::Service(GetSessionError::NotFound(err.msg)) } "ValidationException" => return RusotoError::Validation(err.msg), _ => {} } } RusotoError::Unknown(res) } } impl fmt::Display for GetSessionError { #[allow(unused_variables)] fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { match *self { GetSessionError::BadRequest(ref cause) => write!(f, "{}", cause), GetSessionError::InternalFailure(ref cause) => write!(f, "{}", cause), GetSessionError::LimitExceeded(ref cause) => write!(f, "{}", cause), GetSessionError::NotFound(ref cause) => write!(f, "{}", cause), } } } impl Error for GetSessionError {} /// Errors returned by PostContent #[derive(Debug, PartialEq)] pub enum PostContentError { /// <p>Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda) failed with an internal service error.</p> BadGateway(String), /// <p> Request validation failed, there is no usable message in the context, or the bot build failed, is still in progress, or contains unbuilt changes. </p> BadRequest(String), /// <p> Two clients are using the same AWS account, Amazon Lex bot, and user ID. </p> Conflict(String), /// <p><p> One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example, </p> <ul> <li> <p>If Amazon Lex does not have sufficient permissions to call a Lambda function.</p> </li> <li> <p>If a Lambda function takes longer than 30 seconds to execute.</p> </li> <li> <p>If a fulfillment Lambda function returns a <code>Delegate</code> dialog action without removing any slot values.</p> </li> </ul></p> DependencyFailed(String), /// <p>Internal service error. Retry the call.</p> InternalFailure(String), /// <p>Exceeded a limit.</p> LimitExceeded(String), /// <p>This exception is not used.</p> LoopDetected(String), /// <p>The accept header in the request does not have a valid value.</p> NotAcceptable(String), /// <p>The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.</p> NotFound(String), /// <p>The input speech is too long.</p> RequestTimeout(String), /// <p>The Content-Type header (<code>PostContent</code> API) has an invalid value. </p> UnsupportedMediaType(String), } impl PostContentError { pub fn from_response(res: BufferedHttpResponse) -> RusotoError<PostContentError> { if let Some(err) = proto::json::Error::parse_rest(&res) { match err.typ.as_str() { "BadGatewayException" => { return RusotoError::Service(PostContentError::BadGateway(err.msg)) } "BadRequestException" => { return RusotoError::Service(PostContentError::BadRequest(err.msg)) } "ConflictException" => { return RusotoError::Service(PostContentError::Conflict(err.msg)) } "DependencyFailedException" => { return RusotoError::Service(PostContentError::DependencyFailed(err.msg)) } "InternalFailureException" => { return RusotoError::Service(PostContentError::InternalFailure(err.msg)) } "LimitExceededException" => { return RusotoError::Service(PostContentError::LimitExceeded(err.msg)) } "LoopDetectedException" => { return RusotoError::Service(PostContentError::LoopDetected(err.msg)) } "NotAcceptableException" => { return RusotoError::Service(PostContentError::NotAcceptable(err.msg)) } "NotFoundException" => { return RusotoError::Service(PostContentError::NotFound(err.msg)) } "RequestTimeoutException" => { return RusotoError::Service(PostContentError::RequestTimeout(err.msg)) } "UnsupportedMediaTypeException" => { return RusotoError::Service(PostContentError::UnsupportedMediaType(err.msg)) } "ValidationException" => return RusotoError::Validation(err.msg), _ => {} } } RusotoError::Unknown(res) } } impl fmt::Display for PostContentError { #[allow(unused_variables)] fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { match *self { PostContentError::BadGateway(ref cause) => write!(f, "{}", cause), PostContentError::BadRequest(ref cause) => write!(f, "{}", cause), PostContentError::Conflict(ref cause) => write!(f, "{}", cause), PostContentError::DependencyFailed(ref cause) => write!(f, "{}", cause), PostContentError::InternalFailure(ref cause) => write!(f, "{}", cause), PostContentError::LimitExceeded(ref cause) => write!(f, "{}", cause), PostContentError::LoopDetected(ref cause) => write!(f, "{}", cause), PostContentError::NotAcceptable(ref cause) => write!(f, "{}", cause), PostContentError::NotFound(ref cause) => write!(f, "{}", cause), PostContentError::RequestTimeout(ref cause) => write!(f, "{}", cause), PostContentError::UnsupportedMediaType(ref cause) => write!(f, "{}", cause), } } } impl Error for PostContentError {} /// Errors returned by PostText #[derive(Debug, PartialEq)] pub enum PostTextError { /// <p>Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda) failed with an internal service error.</p> BadGateway(String), /// <p> Request validation failed, there is no usable message in the context, or the bot build failed, is still in progress, or contains unbuilt changes. </p> BadRequest(String), /// <p> Two clients are using the same AWS account, Amazon Lex bot, and user ID. </p> Conflict(String), /// <p><p> One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example, </p> <ul> <li> <p>If Amazon Lex does not have sufficient permissions to call a Lambda function.</p> </li> <li> <p>If a Lambda function takes longer than 30 seconds to execute.</p> </li> <li> <p>If a fulfillment Lambda function returns a <code>Delegate</code> dialog action without removing any slot values.</p> </li> </ul></p> DependencyFailed(String), /// <p>Internal service error. Retry the call.</p> InternalFailure(String), /// <p>Exceeded a limit.</p> LimitExceeded(String), /// <p>This exception is not used.</p> LoopDetected(String), /// <p>The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.</p> NotFound(String), } impl PostTextError { pub fn from_response(res: BufferedHttpResponse) -> RusotoError<PostTextError> { if let Some(err) = proto::json::Error::parse_rest(&res) { match err.typ.as_str() { "BadGatewayException" => { return RusotoError::Service(PostTextError::BadGateway(err.msg)) } "BadRequestException" => { return RusotoError::Service(PostTextError::BadRequest(err.msg)) } "ConflictException" => { return RusotoError::Service(PostTextError::Conflict(err.msg)) } "DependencyFailedException" => { return RusotoError::Service(PostTextError::DependencyFailed(err.msg)) } "InternalFailureException" => { return RusotoError::Service(PostTextError::InternalFailure(err.msg)) } "LimitExceededException" => { return RusotoError::Service(PostTextError::LimitExceeded(err.msg)) } "LoopDetectedException" => { return RusotoError::Service(PostTextError::LoopDetected(err.msg)) } "NotFoundException" => { return RusotoError::Service(PostTextError::NotFound(err.msg)) } "ValidationException" => return RusotoError::Validation(err.msg), _ => {} } } RusotoError::Unknown(res) } } impl fmt::Display for PostTextError { #[allow(unused_variables)] fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { match *self { PostTextError::BadGateway(ref cause) => write!(f, "{}", cause), PostTextError::BadRequest(ref cause) => write!(f, "{}", cause), PostTextError::Conflict(ref cause) => write!(f, "{}", cause), PostTextError::DependencyFailed(ref cause) => write!(f, "{}", cause), PostTextError::InternalFailure(ref cause) => write!(f, "{}", cause), PostTextError::LimitExceeded(ref cause) => write!(f, "{}", cause), PostTextError::LoopDetected(ref cause) => write!(f, "{}", cause), PostTextError::NotFound(ref cause) => write!(f, "{}", cause), } } } impl Error for PostTextError {} /// Errors returned by PutSession #[derive(Debug, PartialEq)] pub enum PutSessionError { /// <p>Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda) failed with an internal service error.</p> BadGateway(String), /// <p> Request validation failed, there is no usable message in the context, or the bot build failed, is still in progress, or contains unbuilt changes. </p> BadRequest(String), /// <p> Two clients are using the same AWS account, Amazon Lex bot, and user ID. </p> Conflict(String), /// <p><p> One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example, </p> <ul> <li> <p>If Amazon Lex does not have sufficient permissions to call a Lambda function.</p> </li> <li> <p>If a Lambda function takes longer than 30 seconds to execute.</p> </li> <li> <p>If a fulfillment Lambda function returns a <code>Delegate</code> dialog action without removing any slot values.</p> </li> </ul></p> DependencyFailed(String), /// <p>Internal service error. Retry the call.</p> InternalFailure(String), /// <p>Exceeded a limit.</p> LimitExceeded(String), /// <p>The accept header in the request does not have a valid value.</p> NotAcceptable(String), /// <p>The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.</p> NotFound(String), } impl PutSessionError { pub fn from_response(res: BufferedHttpResponse) -> RusotoError<PutSessionError> { if let Some(err) = proto::json::Error::parse_rest(&res) { match err.typ.as_str() { "BadGatewayException" => { return RusotoError::Service(PutSessionError::BadGateway(err.msg)) } "BadRequestException" => { return RusotoError::Service(PutSessionError::BadRequest(err.msg)) } "ConflictException" => { return RusotoError::Service(PutSessionError::Conflict(err.msg)) } "DependencyFailedException" => { return RusotoError::Service(PutSessionError::DependencyFailed(err.msg)) } "InternalFailureException" => { return RusotoError::Service(PutSessionError::InternalFailure(err.msg)) } "LimitExceededException" => { return RusotoError::Service(PutSessionError::LimitExceeded(err.msg)) } "NotAcceptableException" => { return RusotoError::Service(PutSessionError::NotAcceptable(err.msg)) } "NotFoundException" => { return RusotoError::Service(PutSessionError::NotFound(err.msg)) } "ValidationException" => return RusotoError::Validation(err.msg), _ => {} } } RusotoError::Unknown(res) } } impl fmt::Display for PutSessionError { #[allow(unused_variables)] fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { match *self { PutSessionError::BadGateway(ref cause) => write!(f, "{}", cause), PutSessionError::BadRequest(ref cause) => write!(f, "{}", cause), PutSessionError::Conflict(ref cause) => write!(f, "{}", cause), PutSessionError::DependencyFailed(ref cause) => write!(f, "{}", cause), PutSessionError::InternalFailure(ref cause) => write!(f, "{}", cause), PutSessionError::LimitExceeded(ref cause) => write!(f, "{}", cause), PutSessionError::NotAcceptable(ref cause) => write!(f, "{}", cause), PutSessionError::NotFound(ref cause) => write!(f, "{}", cause), } } } impl Error for PutSessionError {} /// Trait representing the capabilities of the Amazon Lex Runtime Service API. Amazon Lex Runtime Service clients implement this trait. #[async_trait] pub trait LexRuntime { /// <p>Removes session information for a specified bot, alias, and user ID. </p> async fn delete_session( &self, input: DeleteSessionRequest, ) -> Result<DeleteSessionResponse, RusotoError<DeleteSessionError>>; /// <p>Returns session information for a specified bot, alias, and user ID.</p> async fn get_session( &self, input: GetSessionRequest, ) -> Result<GetSessionResponse, RusotoError<GetSessionError>>; /// <p> 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. </p> <p>The <code>PostContent</code> operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve higher speech recognition accuracy in telephone audio applications. </p> <p> In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages: </p> <ul> <li> <p> For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data (for example, <code>PizzaSize</code>): "What size pizza would you like?". </p> </li> <li> <p> 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?". </p> </li> <li> <p> After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.". </p> </li> </ul> <p> 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 <code>message</code>, 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: </p> <ul> <li> <p> If the message is to elicit slot data, Amazon Lex returns the following context information: </p> <ul> <li> <p> <code>x-amz-lex-dialog-state</code> header set to <code>ElicitSlot</code> </p> </li> <li> <p> <code>x-amz-lex-intent-name</code> header set to the intent name in the current context </p> </li> <li> <p> <code>x-amz-lex-slot-to-elicit</code> header set to the slot name for which the <code>message</code> is eliciting information </p> </li> <li> <p> <code>x-amz-lex-slots</code> header set to a map of slots configured for the intent with their current values </p> </li> </ul> </li> <li> <p> If the message is a confirmation prompt, the <code>x-amz-lex-dialog-state</code> header is set to <code>Confirmation</code> and the <code>x-amz-lex-slot-to-elicit</code> header is omitted. </p> </li> <li> <p> If the message is a clarification prompt configured for the intent, indicating that the user intent is not understood, the <code>x-amz-dialog-state</code> header is set to <code>ElicitIntent</code> and the <code>x-amz-slot-to-elicit</code> header is omitted. </p> </li> </ul> <p> In addition, Amazon Lex also returns your application-specific <code>sessionAttributes</code>. For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html">Managing Conversation Context</a>. </p> async fn post_content( &self, input: PostContentRequest, ) -> Result<PostContentResponse, RusotoError<PostContentError>>; /// <p>Sends user input to Amazon Lex. Client applications can use this API to send requests to Amazon Lex at runtime. Amazon Lex then interprets the user input using the machine learning model it built for the bot. </p> <p> In response, Amazon Lex returns the next <code>message</code> to convey to the user an optional <code>responseCard</code> to display. Consider the following example messages: </p> <ul> <li> <p> 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?" </p> </li> <li> <p> After the user provides all of the pizza order information, Amazon Lex might return a response with a message to obtain user confirmation "Proceed with the pizza order?". </p> </li> <li> <p> After the user replies to a confirmation prompt with a "yes", Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.". </p> </li> </ul> <p> Not all Amazon Lex messages require a user response. For example, a conclusion statement does not require a response. Some messages require only a "yes" or "no" user response. In addition to the <code>message</code>, Amazon Lex provides additional context about the message in the response that you might use to enhance client behavior, for example, to display the appropriate client user interface. These are the <code>slotToElicit</code>, <code>dialogState</code>, <code>intentName</code>, and <code>slots</code> fields in the response. Consider the following examples: </p> <ul> <li> <p>If the message is to elicit slot data, Amazon Lex returns the following context information:</p> <ul> <li> <p> <code>dialogState</code> set to ElicitSlot </p> </li> <li> <p> <code>intentName</code> set to the intent name in the current context </p> </li> <li> <p> <code>slotToElicit</code> set to the slot name for which the <code>message</code> is eliciting information </p> </li> <li> <p> <code>slots</code> set to a map of slots, configured for the intent, with currently known values </p> </li> </ul> </li> <li> <p> If the message is a confirmation prompt, the <code>dialogState</code> is set to ConfirmIntent and <code>SlotToElicit</code> is set to null. </p> </li> <li> <p>If the message is a clarification prompt (configured for the intent) that indicates that user intent is not understood, the <code>dialogState</code> is set to ElicitIntent and <code>slotToElicit</code> is set to null. </p> </li> </ul> <p> In addition, Amazon Lex also returns your application-specific <code>sessionAttributes</code>. For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html">Managing Conversation Context</a>. </p> async fn post_text( &self, input: PostTextRequest, ) -> Result<PostTextResponse, RusotoError<PostTextError>>; /// <p>Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/how-session-api.html">Managing Sessions</a>.</p> async fn put_session( &self, input: PutSessionRequest, ) -> Result<PutSessionResponse, RusotoError<PutSessionError>>; } /// A client for the Amazon Lex Runtime Service API. #[derive(Clone)] pub struct LexRuntimeClient { client: Client, region: region::Region, } impl LexRuntimeClient { /// Creates a client backed by the default tokio event loop. /// /// The client will use the default credentials provider and tls client. pub fn new(region: region::Region) -> LexRuntimeClient { LexRuntimeClient { client: Client::shared(), region, } } pub fn new_with<P, D>( request_dispatcher: D, credentials_provider: P, region: region::Region, ) -> LexRuntimeClient where P: ProvideAwsCredentials + Send + Sync + 'static, D: DispatchSignedRequest + Send + Sync + 'static, { LexRuntimeClient { client: Client::new_with(credentials_provider, request_dispatcher), region, } } pub fn new_with_client(client: Client, region: region::Region) -> LexRuntimeClient { LexRuntimeClient { client, region } } } #[async_trait] impl LexRuntime for LexRuntimeClient { /// <p>Removes session information for a specified bot, alias, and user ID. </p> async fn delete_session( &self, input: DeleteSessionRequest, ) -> Result<DeleteSessionResponse, RusotoError<DeleteSessionError>> { let request_uri = format!( "/bot/{bot_name}/alias/{bot_alias}/user/{user_id}/session", bot_alias = input.bot_alias, bot_name = input.bot_name, user_id = input.user_id ); let mut request = SignedRequest::new("DELETE", "lex", &self.region, &request_uri); request.set_content_type("application/x-amz-json-1.1".to_owned()); request.set_endpoint_prefix("runtime.lex".to_string()); let mut response = self .client .sign_and_dispatch(request) .await .map_err(RusotoError::from)?; if response.status.is_success() { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; let result = proto::json::ResponsePayload::new(&response) .deserialize::<DeleteSessionResponse, _>()?; Ok(result) } else { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; Err(DeleteSessionError::from_response(response)) } } /// <p>Returns session information for a specified bot, alias, and user ID.</p> async fn get_session( &self, input: GetSessionRequest, ) -> Result<GetSessionResponse, RusotoError<GetSessionError>> { let request_uri = format!( "/bot/{bot_name}/alias/{bot_alias}/user/{user_id}/session/", bot_alias = input.bot_alias, bot_name = input.bot_name, user_id = input.user_id ); let mut request = SignedRequest::new("GET", "lex", &self.region, &request_uri); request.set_content_type("application/x-amz-json-1.1".to_owned()); request.set_endpoint_prefix("runtime.lex".to_string()); let mut params = Params::new(); if let Some(ref x) = input.checkpoint_label_filter { params.put("checkpointLabelFilter", x); } request.set_params(params); let mut response = self .client .sign_and_dispatch(request) .await .map_err(RusotoError::from)?; if response.status.is_success() { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; let result = proto::json::ResponsePayload::new(&response) .deserialize::<GetSessionResponse, _>()?; Ok(result) } else { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; Err(GetSessionError::from_response(response)) } } /// <p> 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. </p> <p>The <code>PostContent</code> operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve higher speech recognition accuracy in telephone audio applications. </p> <p> In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages: </p> <ul> <li> <p> For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data (for example, <code>PizzaSize</code>): "What size pizza would you like?". </p> </li> <li> <p> 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?". </p> </li> <li> <p> After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.". </p> </li> </ul> <p> 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 <code>message</code>, 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: </p> <ul> <li> <p> If the message is to elicit slot data, Amazon Lex returns the following context information: </p> <ul> <li> <p> <code>x-amz-lex-dialog-state</code> header set to <code>ElicitSlot</code> </p> </li> <li> <p> <code>x-amz-lex-intent-name</code> header set to the intent name in the current context </p> </li> <li> <p> <code>x-amz-lex-slot-to-elicit</code> header set to the slot name for which the <code>message</code> is eliciting information </p> </li> <li> <p> <code>x-amz-lex-slots</code> header set to a map of slots configured for the intent with their current values </p> </li> </ul> </li> <li> <p> If the message is a confirmation prompt, the <code>x-amz-lex-dialog-state</code> header is set to <code>Confirmation</code> and the <code>x-amz-lex-slot-to-elicit</code> header is omitted. </p> </li> <li> <p> If the message is a clarification prompt configured for the intent, indicating that the user intent is not understood, the <code>x-amz-dialog-state</code> header is set to <code>ElicitIntent</code> and the <code>x-amz-slot-to-elicit</code> header is omitted. </p> </li> </ul> <p> In addition, Amazon Lex also returns your application-specific <code>sessionAttributes</code>. For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html">Managing Conversation Context</a>. </p> async fn post_content( &self, input: PostContentRequest, ) -> Result<PostContentResponse, RusotoError<PostContentError>> { let request_uri = format!( "/bot/{bot_name}/alias/{bot_alias}/user/{user_id}/content", bot_alias = input.bot_alias, bot_name = input.bot_name, user_id = input.user_id ); let mut request = SignedRequest::new("POST", "lex", &self.region, &request_uri); request.set_content_type("application/x-amz-json-1.1".to_owned()); request.set_endpoint_prefix("runtime.lex".to_string()); let encoded = Some(input.input_stream.to_owned()); request.set_payload(encoded); if let Some(ref accept) = input.accept { request.add_header("Accept", &accept.to_string()); } request.add_header("Content-Type", &input.content_type); if let Some(ref request_attributes) = input.request_attributes { request.add_header( "x-amz-lex-request-attributes", &request_attributes.to_string(), ); } if let Some(ref session_attributes) = input.session_attributes { request.add_header( "x-amz-lex-session-attributes", &session_attributes.to_string(), ); } let mut response = self .client .sign_and_dispatch(request) .await .map_err(RusotoError::from)?; if response.status.is_success() { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; let mut result = PostContentResponse::default(); result.audio_stream = Some(response.body); if let Some(content_type) = response.headers.get("Content-Type") { let value = content_type.to_owned(); result.content_type = Some(value) }; if let Some(dialog_state) = response.headers.get("x-amz-lex-dialog-state") { let value = dialog_state.to_owned(); result.dialog_state = Some(value) }; if let Some(input_transcript) = response.headers.get("x-amz-lex-input-transcript") { let value = input_transcript.to_owned(); result.input_transcript = Some(value) }; if let Some(intent_name) = response.headers.get("x-amz-lex-intent-name") { let value = intent_name.to_owned(); result.intent_name = Some(value) }; if let Some(message) = response.headers.get("x-amz-lex-message") { let value = message.to_owned(); result.message = Some(value) }; if let Some(message_format) = response.headers.get("x-amz-lex-message-format") { let value = message_format.to_owned(); result.message_format = Some(value) }; if let Some(sentiment_response) = response.headers.get("x-amz-lex-sentiment") { let value = sentiment_response.to_owned(); result.sentiment_response = Some(value) }; if let Some(session_attributes) = response.headers.get("x-amz-lex-session-attributes") { let value = session_attributes.to_owned(); result.session_attributes = Some(value) }; if let Some(session_id) = response.headers.get("x-amz-lex-session-id") { let value = session_id.to_owned(); result.session_id = Some(value) }; if let Some(slot_to_elicit) = response.headers.get("x-amz-lex-slot-to-elicit") { let value = slot_to_elicit.to_owned(); result.slot_to_elicit = Some(value) }; if let Some(slots) = response.headers.get("x-amz-lex-slots") { let value = slots.to_owned(); result.slots = Some(value) }; Ok(result) } else { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; Err(PostContentError::from_response(response)) } } /// <p>Sends user input to Amazon Lex. Client applications can use this API to send requests to Amazon Lex at runtime. Amazon Lex then interprets the user input using the machine learning model it built for the bot. </p> <p> In response, Amazon Lex returns the next <code>message</code> to convey to the user an optional <code>responseCard</code> to display. Consider the following example messages: </p> <ul> <li> <p> 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?" </p> </li> <li> <p> After the user provides all of the pizza order information, Amazon Lex might return a response with a message to obtain user confirmation "Proceed with the pizza order?". </p> </li> <li> <p> After the user replies to a confirmation prompt with a "yes", Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.". </p> </li> </ul> <p> Not all Amazon Lex messages require a user response. For example, a conclusion statement does not require a response. Some messages require only a "yes" or "no" user response. In addition to the <code>message</code>, Amazon Lex provides additional context about the message in the response that you might use to enhance client behavior, for example, to display the appropriate client user interface. These are the <code>slotToElicit</code>, <code>dialogState</code>, <code>intentName</code>, and <code>slots</code> fields in the response. Consider the following examples: </p> <ul> <li> <p>If the message is to elicit slot data, Amazon Lex returns the following context information:</p> <ul> <li> <p> <code>dialogState</code> set to ElicitSlot </p> </li> <li> <p> <code>intentName</code> set to the intent name in the current context </p> </li> <li> <p> <code>slotToElicit</code> set to the slot name for which the <code>message</code> is eliciting information </p> </li> <li> <p> <code>slots</code> set to a map of slots, configured for the intent, with currently known values </p> </li> </ul> </li> <li> <p> If the message is a confirmation prompt, the <code>dialogState</code> is set to ConfirmIntent and <code>SlotToElicit</code> is set to null. </p> </li> <li> <p>If the message is a clarification prompt (configured for the intent) that indicates that user intent is not understood, the <code>dialogState</code> is set to ElicitIntent and <code>slotToElicit</code> is set to null. </p> </li> </ul> <p> In addition, Amazon Lex also returns your application-specific <code>sessionAttributes</code>. For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html">Managing Conversation Context</a>. </p> async fn post_text( &self, input: PostTextRequest, ) -> Result<PostTextResponse, RusotoError<PostTextError>> { let request_uri = format!( "/bot/{bot_name}/alias/{bot_alias}/user/{user_id}/text", bot_alias = input.bot_alias, bot_name = input.bot_name, user_id = input.user_id ); let mut request = SignedRequest::new("POST", "lex", &self.region, &request_uri); request.set_content_type("application/x-amz-json-1.1".to_owned()); request.set_endpoint_prefix("runtime.lex".to_string()); let encoded = Some(serde_json::to_vec(&input).unwrap()); request.set_payload(encoded); let mut response = self .client .sign_and_dispatch(request) .await .map_err(RusotoError::from)?; if response.status.is_success() { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; let result = proto::json::ResponsePayload::new(&response) .deserialize::<PostTextResponse, _>()?; Ok(result) } else { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; Err(PostTextError::from_response(response)) } } /// <p>Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/lex/latest/dg/how-session-api.html">Managing Sessions</a>.</p> async fn put_session( &self, input: PutSessionRequest, ) -> Result<PutSessionResponse, RusotoError<PutSessionError>> { let request_uri = format!( "/bot/{bot_name}/alias/{bot_alias}/user/{user_id}/session", bot_alias = input.bot_alias, bot_name = input.bot_name, user_id = input.user_id ); let mut request = SignedRequest::new("POST", "lex", &self.region, &request_uri); request.set_content_type("application/x-amz-json-1.1".to_owned()); request.set_endpoint_prefix("runtime.lex".to_string()); let encoded = Some(serde_json::to_vec(&input).unwrap()); request.set_payload(encoded); if let Some(ref accept) = input.accept { request.add_header("Accept", &accept.to_string()); } let mut response = self .client .sign_and_dispatch(request) .await .map_err(RusotoError::from)?; if response.status.is_success() { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; let mut result = PutSessionResponse::default(); result.audio_stream = Some(response.body); if let Some(content_type) = response.headers.get("Content-Type") { let value = content_type.to_owned(); result.content_type = Some(value) }; if let Some(dialog_state) = response.headers.get("x-amz-lex-dialog-state") { let value = dialog_state.to_owned(); result.dialog_state = Some(value) }; if let Some(intent_name) = response.headers.get("x-amz-lex-intent-name") { let value = intent_name.to_owned(); result.intent_name = Some(value) }; if let Some(message) = response.headers.get("x-amz-lex-message") { let value = message.to_owned(); result.message = Some(value) }; if let Some(message_format) = response.headers.get("x-amz-lex-message-format") { let value = message_format.to_owned(); result.message_format = Some(value) }; if let Some(session_attributes) = response.headers.get("x-amz-lex-session-attributes") { let value = session_attributes.to_owned(); result.session_attributes = Some(value) }; if let Some(session_id) = response.headers.get("x-amz-lex-session-id") { let value = session_id.to_owned(); result.session_id = Some(value) }; if let Some(slot_to_elicit) = response.headers.get("x-amz-lex-slot-to-elicit") { let value = slot_to_elicit.to_owned(); result.slot_to_elicit = Some(value) }; if let Some(slots) = response.headers.get("x-amz-lex-slots") { let value = slots.to_owned(); result.slots = Some(value) }; Ok(result) } else { let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?; Err(PutSessionError::from_response(response)) } } }