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feat: add supports for dify hitl (#2226)
* feat: Implement workflow form handling for paused workflows - Added module-level storage for pending forms to manage state across sessions. - Introduced functions to set, get, and clear pending forms with expiration handling. - Enhanced DifyServiceAPIRunner to support resuming paused workflows via form actions. - Implemented logic to yield human input requests and display appropriate messages. - Updated workflow submission methods to handle paused states and resume actions. - Ensured proper merging of pending form actions with user inputs for seamless interaction. * feat: Add '_routed_by_rule' variable to form action in Lark and Telegram adapters * feat: Enhance Lark and Telegram adapters with new form handling for paused workflows * feat: Enhance TelegramAdapter to handle form action buttons and message threading * feat: Improve TelegramAdapter message handling with enhanced error management and draft message support * feat: Add the function for formatting human input text to support adapters without rich UI. * feat(dingtalk): implement human input card support and card action handling - Add a new module `card_callback.py` to handle card action button clicks from DingTalk. - Introduce `DingTalkCardActionHandler` to process card action callbacks and extract parameters. - Update `DingTalkAdapter` to manage card state and handle form input through a single card template. - Add configuration for `human_input_card_template_id` in `dingtalk.yaml` to specify the template for human input. - Create a new card template `dingtalk_human_input_card.json` for rendering human input prompts and buttons. * feat(dingtalk): enhance human input card functionality with streaming support and active turn management - Updated the DingTalk card template to enable streaming mode and multi-update configuration. - Removed the obsolete delete_card method from DingTalkClient to streamline card management. - Enhanced DingTalkAdapter to manage active turn cards and accumulated streaming text, ensuring a seamless user experience during human input prompts. - Modified the create_message_card method to utilize existing active cards for resumed workflows, preventing duplication. - Improved the _paint_form_on_card method to update existing cards with human input prompts and buttons dynamically. - Updated the dingtalk_human_input_card.json template to reflect the new streaming capabilities and configuration options. * feat(wecom): implement Dify human input pause handling with button interaction support * feat(qqofficial): implement Dify human input button interaction handling and markdown keyboard support * feat(qqofficial): implement one-click QR binding and enhance localization support * feat(discord): implement Discord form view with button interactions for Dify actions * fix(telegram): correct group chat type check and handle oversized callback data for Telegram actions fix(difysvapi): ensure safe access to remove-think configuration in pipeline settings * feat(dify): add support for chatflow app type and enhance human input handling * feat(telegram): add action title feedback for user selections in Telegram messages * feat(lark): enhance LarkAdapter to store form content for resume notices * feat(dingtalk): update display formatting for card content with HTML line breaks * feat(dingtalk): add feedback functionality to cards with 👍/👎 buttons - Implemented feedback state management for cards, allowing users to provide feedback via thumbs up/down buttons. - Enhanced card rendering to include feedback buttons when appropriate. - Registered feedback listeners to handle feedback events and update card states accordingly. - Updated the card template to support dynamic button rendering for feedback actions. - Improved error handling and logging for feedback actions and card updates. * fix: add Avatar component to dingtalk_human_input_card.json for enhanced user interaction * feat(wecom): add optional source block to interactive template cards for enhanced branding * feat(wecom): add functions for template card action extraction and update, enhance button interaction handling * feat(qqofficial): synchronize passive-reply counter with inbound message sequence * feat(qqofficial): add method to identify invisible form placeholder chunks in messages * feat(dingtalk): add download link for human input card template and enhance dynamic form configuration * feat(telegram): enhance message handling with group stream deletion and form placeholder detection * Add unit tests for DingTalk, Lark, WeComBot, and Dify service API runners - Implement tests for DingTalk adapter helper functions including form content cleaning, input extraction, and completed input lines. - Create unit tests for Lark adapter helper functions focusing on input extraction and completed input lines. - Add tests for WeComBot template card functionalities, including event extraction and payload building for human input. - Enhance Dify service API runner tests to cover human input forms, including input collection, action handling, and form snapshot extraction. * feat: Enhance Telegram and QQ Official adapters with select field handling and form action processing - Added support for select fields in Telegram adapter, including option extraction and callback handling. - Implemented form action processing for Telegram callbacks, improving user interaction feedback. - Introduced new helper functions for building keyboards and resolving select button actions in QQ Official adapter. - Enhanced DifyServiceAPIRunner to handle cumulative streaming responses and improve error handling during workflow resumes. - Added unit tests for new functionalities in Telegram and QQ Official adapters, ensuring robust behavior for select fields and form actions. * feat(lark): add functions for current input definitions and visible form content handling feat(qqofficial): update fallback text handling for non-streaming scenarios feat(difysvapi): enhance form content processing for interactive fields and actions test: add unit tests for Lark and QQ Official adapter functionalities * Add tests for DingTalk adapter content processing and markdown formatting - Updated the assertion in `test_dingtalk_completed_input_lines_include_text_and_select_values` to remove unnecessary markdown formatting. - Added new tests to verify that `_dingtalk_clean_form_content` maintains the order of prompts and completed values in various scenarios. - Introduced `test_dingtalk_card_markdown_preserves_internal_line_breaks` to ensure internal line breaks are correctly converted to HTML line breaks. * feat: Refactor input handling and feedback messages across multiple adapters * feat: Update the human-computer interaction template cards, and optimize the prompt information and content display. * feat: Refactor pending form handling to isolate by bot and pipeline * feat: Enhance error handling and caching for Dify and WeCom interactions * feat: Enhance select input handling and validation in Dify API runner and Telegram adapter * feat: Add missing completed input lines handling in DingTalk adapter * feat: Add pipeline_uuid handling across multiple adapters and update related tests
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@@ -16,7 +16,12 @@ import {
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} from 'lucide-react';
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import QRCode from 'qrcode';
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export type QrLoginPlatform = 'feishu' | 'weixin' | 'dingtalk' | 'wecombot';
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export type QrLoginPlatform =
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| 'feishu'
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| 'weixin'
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| 'dingtalk'
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| 'wecombot'
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| 'qqofficial';
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interface PlatformConfig {
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titleKey: string;
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@@ -29,6 +34,7 @@ interface PlatformConfig {
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apiBase: string;
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extractSuccess: (data: Record<string, string>) => Record<string, string>;
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successNoteKey?: string;
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boundByKey?: string;
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}
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const PLATFORM_CONFIGS: Record<QrLoginPlatform, PlatformConfig> = {
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@@ -92,6 +98,22 @@ const PLATFORM_CONFIGS: Record<QrLoginPlatform, PlatformConfig> = {
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}),
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successNoteKey: 'wecombot.robotNameNote',
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},
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qqofficial: {
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titleKey: 'qqofficial.createBinding',
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connectingKey: 'qqofficial.connecting',
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scanQRCodeKey: 'qqofficial.scanQRCode',
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waitingKey: 'qqofficial.waitingForScan',
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successKey: 'qqofficial.bindSuccess',
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failedKey: 'qqofficial.bindFailed',
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retryKey: 'qqofficial.retry',
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apiBase: '/api/v1/platform/adapters/qqofficial/bind',
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extractSuccess: (data) => ({
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appid: data.appid,
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secret: data.secret,
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}),
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successNoteKey: 'qqofficial.tokenNote',
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boundByKey: 'qqofficial.boundBy',
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},
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};
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interface QrCodeLoginDialogProps {
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@@ -118,6 +140,7 @@ export default function QrCodeLoginDialog({
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const [qrDataUrl, setQrDataUrl] = useState('');
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const [expireIn, setExpireIn] = useState(0);
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const [errorMessage, setErrorMessage] = useState('');
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const [successMeta, setSuccessMeta] = useState('');
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const pollTimerRef = useRef<ReturnType<typeof setInterval> | null>(null);
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const countdownRef = useRef<ReturnType<typeof setInterval> | null>(null);
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const checkExpiredRef = useRef<ReturnType<typeof setInterval> | null>(null);
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@@ -178,6 +201,7 @@ export default function QrCodeLoginDialog({
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setQrDataUrl('');
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setExpireIn(0);
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setErrorMessage('');
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setSuccessMeta('');
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const token = localStorage.getItem('token');
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const baseUrl = import.meta.env.VITE_API_BASE_URL || window.location.origin;
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@@ -275,6 +299,13 @@ export default function QrCodeLoginDialog({
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sessionIdRef.current = null;
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cleanup();
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setState('success');
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// Platform may return extra audit metadata (e.g. QQ Official returns
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// the scanner's user_openid) — surface it briefly before the dialog closes.
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if (rest.user_openid && cfg.boundByKey) {
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setSuccessMeta(
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tRef.current(cfg.boundByKey, { openid: rest.user_openid }),
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);
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}
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setTimeout(() => {
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onSuccessRef.current(cfg.extractSuccess(rest));
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onOpenChangeRef.current(false);
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@@ -395,6 +426,11 @@ export default function QrCodeLoginDialog({
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<p className="text-sm text-green-600 font-medium">
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{t(platformConfig.successKey)}
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</p>
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{successMeta && (
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<p className="text-xs text-muted-foreground text-center max-w-xs break-all">
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{successMeta}
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</p>
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)}
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{platformConfig.successNoteKey && (
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<p className="text-xs text-muted-foreground text-center max-w-xs">
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{t(platformConfig.successNoteKey)}
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