1676 lines
80 KiB
Python
1676 lines
80 KiB
Python
"""
|
||
title: Smart Mind Map Tool
|
||
author: Fu-Jie
|
||
author_url: https://github.com/Fu-Jie/openwebui-extensions
|
||
funding_url: https://github.com/open-webui
|
||
version: 1.0.0
|
||
required_open_webui_version: 0.8.0
|
||
description: Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.
|
||
"""
|
||
|
||
import asyncio
|
||
import logging
|
||
import os
|
||
import re
|
||
import time
|
||
import json
|
||
from datetime import datetime, timezone
|
||
from typing import Any, Callable, Awaitable, Dict, Optional
|
||
from zoneinfo import ZoneInfo
|
||
|
||
from fastapi import Request, Response
|
||
from fastapi.responses import HTMLResponse
|
||
from pydantic import BaseModel, Field
|
||
|
||
from open_webui.utils.chat import generate_chat_completion
|
||
from open_webui.models.users import Users
|
||
|
||
logging.basicConfig(level=logging.INFO)
|
||
logger = logging.getLogger(__name__)
|
||
|
||
TRANSLATIONS = {
|
||
"en-US": {
|
||
"status_starting": "Smart Mind Map is starting, generating mind map for you...",
|
||
"error_no_content": "Unable to retrieve valid user message content.",
|
||
"error_text_too_short": "Text content is too short ({len} characters), unable to perform effective analysis. Please provide at least {min_len} characters of text.",
|
||
"status_analyzing": "Smart Mind Map: Analyzing text structure in depth...",
|
||
"status_drawing": "Smart Mind Map: Drawing completed!",
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||
"notification_success": "Mind map has been generated, {user_name}!",
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||
"error_processing": "Smart Mind Map processing failed: {error}",
|
||
"error_user_facing": "Sorry, Smart Mind Map encountered an error during processing: {error}.\nPlease check the Open WebUI backend logs for more details.",
|
||
"status_failed": "Smart Mind Map: Processing failed.",
|
||
"notification_failed": "Smart Mind Map generation failed, {user_name}!",
|
||
"status_rendering_image": "Smart Mind Map: Rendering image...",
|
||
"status_image_generated": "Smart Mind Map: Image generated!",
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||
"notification_image_success": "Mind map image has been generated, {user_name}!",
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||
"ui_title": "🧠 Smart Mind Map",
|
||
"ui_user": "User:",
|
||
"ui_time": "Time:",
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||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Reset",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Expand Level",
|
||
"ui_depth_all": "Expand All",
|
||
"ui_depth_2": "Level 2",
|
||
"ui_depth_3": "Level 3",
|
||
"ui_fullscreen": "Fullscreen",
|
||
"ui_theme": "Theme",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ Unable to load mind map: Missing valid content.",
|
||
"html_error_load_failed": "⚠️ Resource loading failed, please try again later.",
|
||
"js_done": "Done",
|
||
"js_failed": "Failed",
|
||
"js_generating": "Generating...",
|
||
"js_filename": "mindmap.png",
|
||
"js_upload_failed": "Upload failed: ",
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||
"md_image_alt": "🧠 Mind Map",
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"notification_waiting": "Analysis is taking longer than expected. Please wait, we're still working on your mind map...",
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},
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"zh-CN": {
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"status_starting": "思维导图已启动,正在为您生成思维导图...",
|
||
"error_no_content": "无法获取有效的用户消息内容。",
|
||
"error_text_too_short": "文本内容过短({len}字符),无法进行有效分析。请提供至少{min_len}字符的文本。",
|
||
"status_analyzing": "思维导图:深入分析文本结构...",
|
||
"status_drawing": "思维导图:绘制完成!",
|
||
"notification_success": "思维导图已生成,{user_name}!",
|
||
"error_processing": "思维导图处理失败:{error}",
|
||
"error_user_facing": "抱歉,思维导图在处理时遇到错误:{error}。\n请检查Open WebUI后端日志获取更多详情。",
|
||
"status_failed": "思维导图:处理失败。",
|
||
"notification_failed": "思维导图生成失败,{user_name}!",
|
||
"status_rendering_image": "思维导图:正在渲染图片...",
|
||
"status_image_generated": "思维导图:图片已生成!",
|
||
"notification_image_success": "思维导图图片已生成,{user_name}!",
|
||
"ui_title": "🧠 智能思维导图",
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||
"ui_user": "用户:",
|
||
"ui_time": "时间:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "缩小",
|
||
"ui_zoom_reset": "重置",
|
||
"ui_zoom_in": "放大",
|
||
"ui_depth_select": "展开层级",
|
||
"ui_depth_all": "全部展开",
|
||
"ui_depth_2": "展开 2 级",
|
||
"ui_depth_3": "展开 3 级",
|
||
"ui_fullscreen": "全屏",
|
||
"ui_theme": "主题",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ 无法加载思维导图:缺少有效内容。",
|
||
"html_error_load_failed": "⚠️ 资源加载失败,请稍后重试。",
|
||
"js_done": "完成",
|
||
"js_failed": "失败",
|
||
"js_generating": "生成中...",
|
||
"js_filename": "思维导图.png",
|
||
"js_upload_failed": "上传失败:",
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||
"md_image_alt": "🧠 思维导图",
|
||
"notification_waiting": "分析时间可能比预期稍长,请稍等,我们正在为您拼命绘图中...",
|
||
},
|
||
"zh-HK": {
|
||
"status_starting": "思維導圖已啟動,正在為您生成思維導圖...",
|
||
"error_no_content": "無法獲取有效的用戶消息內容。",
|
||
"error_text_too_short": "文本內容過短({len}字元),無法進行有效分析。請提供至少{min_len}字元的文本。",
|
||
"status_analyzing": "思維導圖:深入分析文本結構...",
|
||
"status_drawing": "思維導圖:繪製完成!",
|
||
"notification_success": "思維導圖已生成,{user_name}!",
|
||
"error_processing": "思維導圖處理失敗:{error}",
|
||
"error_user_facing": "抱歉,思維導圖在處理時遇到錯誤:{error}。\n請檢查Open WebUI後端日誌獲取更多詳情。",
|
||
"status_failed": "思維導圖:處理失敗。",
|
||
"notification_failed": "思維導圖生成失敗,{user_name}!",
|
||
"status_rendering_image": "思維導圖:正在渲染圖片...",
|
||
"status_image_generated": "思維導圖:圖片已生成!",
|
||
"notification_image_success": "思維導圖圖片已生成,{user_name}!",
|
||
"ui_title": "🧠 智能思維導圖",
|
||
"ui_user": "用戶:",
|
||
"ui_time": "時間:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "縮小",
|
||
"ui_zoom_reset": "重置",
|
||
"ui_zoom_in": "放大",
|
||
"ui_depth_select": "展開層級",
|
||
"ui_depth_all": "全部展開",
|
||
"ui_depth_2": "展開 2 級",
|
||
"ui_depth_3": "展開 3 級",
|
||
"ui_fullscreen": "全屏",
|
||
"ui_theme": "主題",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ 無法加載思維導圖:缺少有效內容。",
|
||
"html_error_load_failed": "⚠️ 資源加載失敗,請稍後重試。",
|
||
"js_done": "完成",
|
||
"js_failed": "失敗",
|
||
"js_generating": "生成中...",
|
||
"js_filename": "思維導圖.png",
|
||
"js_upload_failed": "上傳失敗:",
|
||
"md_image_alt": "🧠 思維導圖",
|
||
"notification_waiting": "分析時間可能比預期稍長,請稍等,我們正在為您拼命繪圖中...",
|
||
},
|
||
"zh-TW": {
|
||
"status_starting": "思維導圖已啟動,正在為您生成思維導圖...",
|
||
"error_no_content": "無法獲取有效的用戶消息內容。",
|
||
"error_text_too_short": "文本內容過短({len}字元),無法進行有效分析。請提供至少{min_len}字元的文本。",
|
||
"status_analyzing": "思維導圖:深入分析文本結構...",
|
||
"status_drawing": "思維導圖:繪製完成!",
|
||
"notification_success": "思維導圖已生成,{user_name}!",
|
||
"error_processing": "思維導圖處理失敗:{error}",
|
||
"error_user_facing": "抱歉,思維導圖在處理時遇到錯誤:{error}。\n請檢查Open WebUI後端日誌獲取更多詳情。",
|
||
"status_failed": "思維導圖:處理失敗。",
|
||
"notification_failed": "思維導圖生成失敗,{user_name}!",
|
||
"status_rendering_image": "思維導圖:正在渲染圖片...",
|
||
"status_image_generated": "思維導圖:圖片已生成!",
|
||
"notification_image_success": "思維導圖圖片已生成,{user_name}!",
|
||
"ui_title": "🧠 智能思維導圖",
|
||
"ui_user": "用戶:",
|
||
"ui_time": "時間:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "縮小",
|
||
"ui_zoom_reset": "重置",
|
||
"ui_zoom_in": "放大",
|
||
"ui_depth_select": "展開層級",
|
||
"ui_depth_all": "全部展開",
|
||
"ui_depth_2": "展開 2 級",
|
||
"ui_depth_3": "展開 3 級",
|
||
"ui_fullscreen": "全屏",
|
||
"ui_theme": "主題",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ 無法加載思維導圖:缺少有效內容。",
|
||
"html_error_load_failed": "⚠️ 資源加載失敗,請稍后重試。",
|
||
"js_done": "完成",
|
||
"js_failed": "失敗",
|
||
"js_generating": "生成中...",
|
||
"js_filename": "思維導圖.png",
|
||
"js_upload_failed": "上傳失敗:",
|
||
"md_image_alt": "🧠 思維導圖",
|
||
"notification_waiting": "分析時間可能比預期稍長,請稍等,我們正在為您拼命繪圖中...",
|
||
},
|
||
"ko-KR": {
|
||
"status_starting": "스마트 마인드맵이 시작되었습니다, 마인드맵을 생성 중입니다...",
|
||
"error_no_content": "유효한 사용자 메시지 내용을 가져올 수 없습니다.",
|
||
"error_text_too_short": "텍스트 내용이 너무 짧아({len}자), 효과적인 분석을 수행할 수 없습니다. 최소 {min_len}자 이상의 텍스트를 제공해 주세요.",
|
||
"status_analyzing": "스마트 마인드맵: 텍스트 구조 심층 분석 중...",
|
||
"status_drawing": "스마트 마인드맵: 그리기 완료!",
|
||
"notification_success": "마인드맵이 생성되었습니다, {user_name}님!",
|
||
"error_processing": "스마트 마인드맵 처리 실패: {error}",
|
||
"error_user_facing": "죄송합니다, 스마트 마인드맵 처리 중 오류가 발생했습니다: {error}.\n자세한 내용은 Open WebUI 백엔드 로그를 확인해 주세요.",
|
||
"status_failed": "스마트 마인드맵: 처리 실패.",
|
||
"notification_failed": "스마트 마인드맵 생성 실패, {user_name}님!",
|
||
"status_rendering_image": "스마트 마인드맵: 이미지 렌더링 중...",
|
||
"status_image_generated": "스마트 마인드맵: 이미지 생성됨!",
|
||
"notification_image_success": "마인드맵 이미지가 생성되었습니다, {user_name}님!",
|
||
"ui_title": "🧠 스마트 마인드맵",
|
||
"ui_user": "사용자:",
|
||
"ui_time": "시간:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "초기화",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "레벨 확장",
|
||
"ui_depth_all": "모두 확장",
|
||
"ui_depth_2": "레벨 2",
|
||
"ui_depth_3": "레벨 3",
|
||
"ui_fullscreen": "전체 화면",
|
||
"ui_theme": "테마",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ 마인드맵을 로드할 수 없습니다: 유효한 내용이 없습니다.",
|
||
"html_error_load_failed": "⚠️ 리소스 로드 실패, 나중에 다시 시도해 주세요.",
|
||
"js_done": "완료",
|
||
"js_failed": "실패",
|
||
"js_generating": "생성 중...",
|
||
"js_filename": "mindmap.png",
|
||
"js_upload_failed": "업로드 실패: ",
|
||
"md_image_alt": "🧠 마인드맵",
|
||
"notification_waiting": "분석 시간이 예상보다 오래 걸리고 있습니다. 잠시만 기다려 주세요, 마인드맵을 생성 중입니다...",
|
||
},
|
||
"ja-JP": {
|
||
"status_starting": "スマートマインドマップが起動しました。マインドマップを生成しています...",
|
||
"error_no_content": "有効なユーザーメッセージの内容を取得できませんでした。",
|
||
"error_text_too_short": "텍스트 내용이 너무 짧아({len}자), 효과적인 분석을 수행할 수 없습니다. 최소 {min_len}자 이상의 텍스트를 제공해 주세요.",
|
||
"status_analyzing": "スマートマインドマップ:テキスト構造を詳細に分析中...",
|
||
"status_drawing": "スマートマインドマップ:描画完了!",
|
||
"notification_success": "マインドマップが生成されました、{user_name}さん!",
|
||
"error_processing": "スマートマインドマップ処理失敗:{error}",
|
||
"error_user_facing": "申し訳ありません、スマートマインドマップの処理中にエラーが発生しました:{error}。\n詳細については、Open WebUIバックエンドログを確認してください。",
|
||
"status_failed": "スマートマインドマップ:処理失敗。",
|
||
"notification_failed": "スマートマインドマップ生成失敗、{user_name}さん!",
|
||
"status_rendering_image": "スマートマインドマップ:画像レンダ링中...",
|
||
"status_image_generated": "スマートマインドマップ:画像生成完了!",
|
||
"notification_image_success": "マインドマップ画像が生成されました、{user_name}さん!",
|
||
"ui_title": "🧠 スマートマインドマップ",
|
||
"ui_user": "ユーザー:",
|
||
"ui_time": "時間:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "リセット",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "レベル展開",
|
||
"ui_depth_all": "すべて展開",
|
||
"ui_depth_2": "レベル2",
|
||
"ui_depth_3": "レベル3",
|
||
"ui_fullscreen": "全画面",
|
||
"ui_theme": "テーマ",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ マインドマップを読み込めません:有効なコンテンツがありません。",
|
||
"html_error_load_failed": "⚠️ リソースの読み込みに失敗しました。後でもう一度お試しください。",
|
||
"js_done": "完了",
|
||
"js_failed": "失敗",
|
||
"js_generating": "生成中...",
|
||
"js_filename": "mindmap.png",
|
||
"js_upload_failed": "アップロード失敗:",
|
||
"md_image_alt": "🧠 マインドマップ",
|
||
"notification_waiting": "分析に時間がかかっています。マインドマップを生成中ですので、もうしばらくお待ちください...",
|
||
},
|
||
"fr-FR": {
|
||
"status_starting": "Smart Mind Map démarre, génération de la carte heuristique en cours...",
|
||
"error_no_content": "Impossible de récupérer le contenu valide du message utilisateur.",
|
||
"error_text_too_short": "Le contenu du texte est trop court ({len} caractères), impossible d'effectuer une analyse efficace. Veuillez fournir au moins {min_len} caractères de texte.",
|
||
"status_analyzing": "Smart Mind Map : Analyse approfondie de la structure du texte...",
|
||
"status_drawing": "Smart Mind Map : Dessin terminé !",
|
||
"notification_success": "La carte heuristique a été générée, {user_name} !",
|
||
"error_processing": "Échec du traitement de Smart Mind Map : {error}",
|
||
"error_user_facing": "Désolé, Smart Mind Map a rencontré une erreur lors du traitement : {error}.\nVeuillez vérifier les journaux backend d'Open WebUI pour plus de détails.",
|
||
"status_failed": "Smart Mind Map : Échec du traitement.",
|
||
"notification_failed": "Échec de la génération de la carte heuristique, {user_name} !",
|
||
"status_rendering_image": "Smart Mind Map : Rendu de l'image...",
|
||
"status_image_generated": "Smart Mind Map : Image générée !",
|
||
"notification_image_success": "L'image de la carte heuristique a été générée, {user_name} !",
|
||
"ui_title": "🧠 Smart Mind Map",
|
||
"ui_user": "Utilisateur :",
|
||
"ui_time": "Heure :",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Rénitialiser",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Niveau d'expansion",
|
||
"ui_depth_all": "Tout développer",
|
||
"ui_depth_2": "Niveau 2",
|
||
"ui_depth_3": "Niveau 3",
|
||
"ui_fullscreen": "Plein écran",
|
||
"ui_theme": "Thème",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ Impossible de charger la carte heuristique : contenu valide manquant.",
|
||
"html_error_load_failed": "⚠️ Échec du chargement des ressources, veuillez réessayer plus tard.",
|
||
"js_done": "Terminé",
|
||
"js_failed": "Échec",
|
||
"js_generating": "Génération...",
|
||
"js_filename": "carte_heuristique.png",
|
||
"js_upload_failed": "Échec du téléchargement : ",
|
||
"md_image_alt": "🧠 Carte Heuristique",
|
||
},
|
||
"de-DE": {
|
||
"status_starting": "Smart Mind Map startet, Mindmap wird für Sie erstellt...",
|
||
"error_no_content": "Gültiger Inhalt der Benutzernachricht konnte nicht abgerufen werden.",
|
||
"error_text_too_short": "Der Textinhalt ist zu kurz ({len} Zeichen), eine effektive Analyse ist nicht möglich. Bitte geben Sie mindestens {min_len} Zeichen Text an.",
|
||
"status_analyzing": "Smart Mind Map: Detaillierte Analyse der Textstruktur...",
|
||
"status_drawing": "Smart Mind Map: Zeichnen abgeschlossen!",
|
||
"notification_success": "Mindmap wurde erstellt, {user_name}!",
|
||
"error_processing": "Smart Mind Map Verarbeitung fehlgeschlagen: {error}",
|
||
"error_user_facing": "Entschuldigung, bei der Verarbeitung von Smart Mind Map ist ein Fehler aufgetreten: {error}.\nBitte überprüfen Sie die Open WebUI Backend-Protokolle für weitere Details.",
|
||
"status_failed": "Smart Mind Map: Verarbeitung fehlgeschlagen.",
|
||
"notification_failed": "Erstellung der Mindmap fehlgeschlagen, {user_name}!",
|
||
"status_rendering_image": "Smart Mind Map: Bild wird gerendert...",
|
||
"status_image_generated": "Smart Mind Map: Bild erstellt!",
|
||
"notification_image_success": "Mindmap-Bild wurde erstellt, {user_name}!",
|
||
"ui_title": "🧠 Smart Mind Map",
|
||
"ui_user": "Benutzer:",
|
||
"ui_time": "Zeit:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Zurücksetzen",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Ebene erweitern",
|
||
"ui_depth_all": "Alles erweitern",
|
||
"ui_depth_2": "Ebene 2",
|
||
"ui_depth_3": "Ebene 3",
|
||
"ui_fullscreen": "Vollbild",
|
||
"ui_theme": "Thema",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ Mindmap kann nicht geladen werden: Gültiger Inhalt fehlt.",
|
||
"html_error_load_failed": "⚠️ Ressourcenladen fehlgeschlagen, bitte versuchen Sie es später erneut.",
|
||
"js_done": "Fertig",
|
||
"js_failed": "Fehlgeschlagen",
|
||
"js_generating": "Generiere...",
|
||
"js_filename": "mindmap.png",
|
||
"js_upload_failed": "Upload fehlgeschlagen: ",
|
||
"md_image_alt": "🧠 Mindmap",
|
||
},
|
||
"es-ES": {
|
||
"status_starting": "Smart Mind Map se está iniciando, generando mapa mental para usted...",
|
||
"error_no_content": "No se puede recuperar el contenido válido del mensaje del usuario.",
|
||
"error_text_too_short": "El contenido del texto es demasiado corto ({len} caracteres), no se puede realizar un análisis efectivo. Proporcione al menos {min_len} caracteres de texto.",
|
||
"status_analyzing": "Smart Mind Map: Analizando la estructura del texto en profundidad...",
|
||
"status_drawing": "Smart Mind Map: ¡Dibujo completado!",
|
||
"notification_success": "¡El mapa mental ha sido generado, {user_name}!",
|
||
"error_processing": "Falló el procesamiento de Smart Mind Map: {error}",
|
||
"error_user_facing": "Lo sentimos, Smart Mind Map encontró un error durante el procesamiento: {error}.\nConsulte los registros del backend de Open WebUI para más detalles.",
|
||
"status_failed": "Smart Mind Map: Procesamiento fallido.",
|
||
"notification_failed": "¡La generación del mapa mental falló, {user_name}!",
|
||
"status_rendering_image": "Smart Mind Map: Renderizando imagen...",
|
||
"status_image_generated": "Smart Mind Map: ¡Imagen generada!",
|
||
"notification_image_success": "¡La imagen del mapa mental ha sido generada, {user_name}!",
|
||
"ui_title": "🧠 Smart Mind Map",
|
||
"ui_user": "Usuario:",
|
||
"ui_time": "Hora:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Restablecer",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Expandir Nivel",
|
||
"ui_depth_all": "Expandir Todo",
|
||
"ui_depth_2": "Nivel 2",
|
||
"ui_depth_3": "Nivel 3",
|
||
"ui_fullscreen": "Pantalla completa",
|
||
"ui_theme": "Tema",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ No se puede cargar el mapa mental: Falta contenido válido.",
|
||
"html_error_load_failed": "⚠️ Falló la carga de recursos, inténtelo de nuevo más tarde.",
|
||
"js_done": "Hecho",
|
||
"js_failed": "Fallido",
|
||
"js_generating": "Generando...",
|
||
"js_filename": "mapa_mental.png",
|
||
"js_upload_failed": "Carga fallida: ",
|
||
"md_image_alt": "🧠 Mapa Mental",
|
||
},
|
||
"it-IT": {
|
||
"status_starting": "Smart Mind Map si sta avviando, generazione mappa mentale in corso...",
|
||
"error_no_content": "Impossibile recuperare il contenuto valido del messaggio utente.",
|
||
"error_text_too_short": "Il testo è troppo breve ({len} caratteri), impossibile eseguire un'analisi efficace. Fornire almeno {min_len} caratteri di testo.",
|
||
"status_analyzing": "Smart Mind Map: Analisi approfondita della struttura del testo...",
|
||
"status_drawing": "Smart Mind Map: Disegno completato!",
|
||
"notification_success": "La mappa mentale è stata generata, {user_name}!",
|
||
"error_processing": "Elaborazione Smart Mind Map fallita: {error}",
|
||
"error_user_facing": "Spiacenti, Smart Mind Map ha riscontrato un errore durante l'elaborazione: {error}.\nControllare i log del backend di Open WebUI per ulteriori dettagli.",
|
||
"status_failed": "Smart Mind Map: Elaborazione fallita.",
|
||
"notification_failed": "Generazione mappa mentale fallita, {user_name}!",
|
||
"status_rendering_image": "Smart Mind Map: Rendering immagine...",
|
||
"status_image_generated": "Smart Mind Map: Immagine generata!",
|
||
"notification_image_success": "L'immagine della mappa mentale è stata generata, {user_name}!",
|
||
"ui_title": "🧠 Smart Mind Map",
|
||
"ui_user": "Utente:",
|
||
"ui_time": "Ora:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Reimposta",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Espandi Livello",
|
||
"ui_depth_all": "Espandi Tutto",
|
||
"ui_depth_2": "Livello 2",
|
||
"ui_depth_3": "Livello 3",
|
||
"ui_fullscreen": "Schermo intero",
|
||
"ui_theme": "Tema",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ Impossibile caricare la mappa mentale: Contenuto valido mancante.",
|
||
"html_error_load_failed": "⚠️ Caricamento risorse fallito, riprovare più tardi.",
|
||
"js_done": "Fatto",
|
||
"js_failed": "Fallito",
|
||
"js_generating": "Generazione...",
|
||
"js_filename": "mappa_mentale.png",
|
||
"js_upload_failed": "Caricamento fallito: ",
|
||
"md_image_alt": "🧠 Mappa Mentale",
|
||
},
|
||
"vi-VN": {
|
||
"status_starting": "Smart Mind Map đang khởi động, đang tạo sơ đồ tư duy cho bạn...",
|
||
"error_no_content": "Không thể lấy nội dung tin nhắn người dùng hợp lệ.",
|
||
"error_text_too_short": "Nội dung văn bản quá ngắn ({len} ký tự), không thể thực hiện phân tích hiệu quả. Vui lòng cung cấp ít nhất {min_len} ký tự văn bản.",
|
||
"status_analyzing": "Smart Mind Map: Phân tích sâu cấu trúc văn bản...",
|
||
"status_drawing": "Smart Mind Map: Vẽ hoàn tất!",
|
||
"notification_success": "Sơ đồ tư duy đã được tạo, {user_name}!",
|
||
"error_processing": "Xử lý Smart Mind Map thất bại: {error}",
|
||
"error_user_facing": "Xin lỗi, Smart Mind Map đã gặp lỗi trong quá trình xử lý: {error}.\nVui lòng kiểm tra nhật ký backend Open WebUI để biết thêm chi tiết.",
|
||
"status_failed": "Smart Mind Map: Xử lý thất bại.",
|
||
"notification_failed": "Tạo sơ đồ tư duy thất bại, {user_name}!",
|
||
"status_rendering_image": "Smart Mind Map: Đang render hình ảnh...",
|
||
"status_image_generated": "Smart Mind Map: Hình ảnh đã tạo!",
|
||
"notification_image_success": "Hình ảnh sơ đồ tư duy đã được tạo, {user_name}!",
|
||
"ui_title": "🧠 Smart Mind Map",
|
||
"ui_user": "Người dùng:",
|
||
"ui_time": "Thời gian:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Đặt lại",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Mở rộng Cấp độ",
|
||
"ui_depth_all": "Mở rộng Tất cả",
|
||
"ui_depth_2": "Cấp độ 2",
|
||
"ui_depth_3": "Cấp độ 3",
|
||
"ui_fullscreen": "Toàn màn hình",
|
||
"ui_theme": "Chủ đề",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ Không thể tải sơ đồ tư duy: Thiếu nội dung hợp lệ.",
|
||
"html_error_load_failed": "⚠️ Tải tài nguyên thất bại, vui lòng thử lại sau.",
|
||
"js_done": "Xong",
|
||
"js_failed": "Thất bại",
|
||
"js_generating": "Đang tạo...",
|
||
"js_filename": "sodo_tuduy.png",
|
||
"js_upload_failed": "Tải lên thất bại: ",
|
||
"md_image_alt": "🧠 Sơ đồ Tư duy",
|
||
},
|
||
"id-ID": {
|
||
"status_starting": "Smart Mind Map sedang dimulai, membuat peta pikiran untuk Anda...",
|
||
"error_no_content": "Tidak dapat mengambil konten pesan pengguna yang valid.",
|
||
"error_text_too_short": "Konten teks terlalu pendek ({len} karakter), tidak dapat melakukan analisis efektif. Harap berikan setidaknya {min_len} karakter teks.",
|
||
"status_analyzing": "Smart Mind Map: Menganalisis struktur teks secara mendalam...",
|
||
"status_drawing": "Smart Mind Map: Menggambar selesai!",
|
||
"notification_success": "Peta pikiran telah dibuat, {user_name}!",
|
||
"error_processing": "Pemrosesan Smart Mind Map gagal: {error}",
|
||
"error_user_facing": "Maaf, Smart Mind Map mengalami kesalahan saat memproses: {error}.\nSilakan periksa log backend Open WebUI untuk detail lebih lanjut.",
|
||
"status_failed": "Smart Mind Map: Pemrosesan gagal.",
|
||
"notification_failed": "Pembuatan peta pikiran gagal, {user_name}!",
|
||
"status_rendering_image": "Smart Mind Map: Merender gambar...",
|
||
"status_image_generated": "Smart Mind Map: Gambar dibuat!",
|
||
"notification_image_success": "Gambar peta pikiran telah dibuat, {user_name}!",
|
||
"ui_title": "🧠 Smart Mind Map",
|
||
"ui_user": "Pengguna:",
|
||
"ui_time": "Waktu:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Atur Ulang",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Perluas Level",
|
||
"ui_depth_all": "Perluas Semua",
|
||
"ui_depth_2": "Level 2",
|
||
"ui_depth_3": "Level 3",
|
||
"ui_fullscreen": "Layar Penuh",
|
||
"ui_theme": "Tema",
|
||
"ui_footer": "<b>Powered by</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ Tidak dapat memuat peta pikiran: Konten valid hilang.",
|
||
"html_error_load_failed": "⚠️ Gagal memuat sumber daya, silakan coba lagi nanti.",
|
||
"js_done": "Selesai",
|
||
"js_failed": "Gagal",
|
||
"js_generating": "Membuat...",
|
||
"js_filename": "peta_pikiran.png",
|
||
"js_upload_failed": "Unggah gagal: ",
|
||
"md_image_alt": "🧠 Peta Pikiran",
|
||
},
|
||
"ru-RU": {
|
||
"status_starting": "Умная интеллект-карта запускается, создаем карту для вас...",
|
||
"error_no_content": "Не удалось получить допустимое содержимое сообщения пользователя.",
|
||
"error_text_too_short": "Текст слишком короткий ({len} символов), невозможно провести эффективный анализ. Пожалуйста, предоставьте текст длиной не менее {min_len} символов.",
|
||
"status_analyzing": "Умная интеллект-карта: Глубокий анализ структуры текста...",
|
||
"status_drawing": "Умная интеллект-карта: Отрисовка завершена!",
|
||
"notification_success": "Интеллект-карта создана, {user_name}!",
|
||
"error_processing": "Ошибка обработки умной интеллект-карты: {error}",
|
||
"error_user_facing": "Извините, при обработке умной интеллект-карты произошла ошибка: {error}.\nПожалуйста, проверьте логи бэкенда Open WebUI для получения подробной информации.",
|
||
"status_failed": "Умная интеллект-карта: Обработка не удалась.",
|
||
"notification_failed": "Не удалось создать интеллект-карту, {user_name}!",
|
||
"status_rendering_image": "Умная интеллект-карта: Рендеринг изображения...",
|
||
"status_image_generated": "Умная интеллект-карта: Изображение создано!",
|
||
"notification_image_success": "Изображение интеллект-карты создано, {user_name}!",
|
||
"ui_title": "🧠 Умная интеллект-карта",
|
||
"ui_user": "Пользователь:",
|
||
"ui_time": "Время:",
|
||
"ui_download_png": "PNG",
|
||
"ui_download_svg": "SVG",
|
||
"ui_download_md": "Markdown",
|
||
"ui_zoom_out": "-",
|
||
"ui_zoom_reset": "Сброс",
|
||
"ui_zoom_in": "+",
|
||
"ui_depth_select": "Развернуть уровни",
|
||
"ui_depth_all": "Развернуть все",
|
||
"ui_depth_2": "Уровень 2",
|
||
"ui_depth_3": "Уровень 3",
|
||
"ui_fullscreen": "Полный экран",
|
||
"ui_theme": "Тема",
|
||
"ui_footer": "<b>Работает на</b> <a href='https://markmap.js.org/' target='_blank' rel='noopener noreferrer'>Markmap</a>",
|
||
"html_error_missing_content": "⚠️ Не удалось загрузить карту: Отсутствует допустимое содержимое.",
|
||
"html_error_load_failed": "⚠️ Ошибка загрузки ресурсов, пожалуйста, попробуйте позже.",
|
||
"js_done": "Готово",
|
||
"js_failed": "Ошибка",
|
||
"js_generating": "Генерация...",
|
||
"js_filename": "mindmap.png",
|
||
"js_upload_failed": "Ошибка загрузки: ",
|
||
"md_image_alt": "🧠 Интеллект-карта",
|
||
},
|
||
}
|
||
|
||
SYSTEM_PROMPT_MINDMAP_ASSISTANT = """
|
||
You are a professional mind map generation assistant, capable of efficiently analyzing long-form text provided by users and structuring its core themes, key concepts, branches, and sub-branches into standard Markdown list syntax for rendering by Markmap.js.
|
||
|
||
Please strictly follow these guidelines:
|
||
- **Language**: All output must be in the exact same language as the input text (the text you are analyzing).
|
||
- **Format Consistency**: Even if this system prompt is in English, if the user input is in Chinese, the mind map content must be in Chinese. If input is Russian, output Russian.
|
||
- **Format**: Your output must strictly be in Markdown list format, wrapped with ```markdown and ```.
|
||
- Use `#` to define the central theme (root node).
|
||
- Use `-` with two-space indentation to represent branches and sub-branches.
|
||
- **Root Node (Central Theme) — Strict Length Limits**:
|
||
- The `#` root node must be an ultra-compact title, like a newspaper headline. It should be a keyword or short phrase, NEVER a full sentence.
|
||
- **CJK scripts (Chinese, Japanese, Korean)**: Maximum **10 characters** (e.g., `# 老人缓解呼吸困难方法` ✓ / `# 老人在家时感到呼吸困难的缓解方法` ✗)
|
||
- **Latin-script languages (English, Spanish, French, Italian, Portuguese, Russian)**: Maximum **5 words or 35 characters** (e.g., `# Methods to Relieve Dyspnea` ✓ / `# How Elderly People Can Relieve Breathing Difficulty at Home` ✗)
|
||
- **German, Dutch or languages with long compound words**: Maximum **4 words or 30 characters**
|
||
- **Arabic, Hebrew and other RTL scripts**: Maximum **5 words or 25 characters**
|
||
- **All other languages**: Maximum **5 words or 30 characters**
|
||
- If the identified theme would exceed the limit, distill it further into the single most essential keyword or 2-3 word phrase.
|
||
- **Branch Node Content**:
|
||
- Identify main concepts as first-level list items.
|
||
- Identify supporting details or sub-concepts as nested list items.
|
||
- Node content should be concise and clear, avoiding verbosity.
|
||
- **Output Markdown syntax only**: Do not include any additional greetings, explanations, or guiding text.
|
||
- **If text is too short or cannot generate a valid mind map**: Output a simple Markdown list indicating inability to generate, for example:
|
||
```markdown
|
||
# Unable to Generate Mind Map
|
||
- Reason: Insufficient or unclear text content
|
||
```
|
||
- **Awareness of Target Audience Layout**: You will be provided `Target Rendering Mode`.
|
||
- If `Target Rendering Mode` is `direct`: The client has massive horizontal space but limited scrolling vertically. Extract more first-level concepts to make the mind map spread wide like a sprawling fan, rather than deep single columns.
|
||
- If `Target Rendering Mode` is `legacy`: The client uses a narrow, portrait sidebar. Extract fewer top-level nodes, and break points into deeper, tighter sub-branches so the map grows vertically downwards.
|
||
"""
|
||
|
||
USER_PROMPT_GENERATE_MINDMAP = """
|
||
Please analyze the following long-form text and structure its core themes, key concepts, branches, and sub-branches into standard Markdown list syntax for Markmap.js rendering.
|
||
|
||
---
|
||
**User Context Information:**
|
||
User Name: {user_name}
|
||
Current Date & Time: {current_date_time_str}
|
||
Current Weekday: {current_weekday}
|
||
Current Timezone: {current_timezone_str}
|
||
User Language: {user_language}
|
||
Target Rendering Mode: Auto-adapting (Dynamic width based on viewport)
|
||
---
|
||
|
||
**Long-form Text Content:**
|
||
{long_text_content}
|
||
"""
|
||
|
||
|
||
def _resolve_language(valves, lang: str) -> str:
|
||
"""Resolve the best matching language code from the TRANSLATIONS dict."""
|
||
target_lang = lang
|
||
|
||
# 0. Basic base language match (e.g. 'en', 'zh', 'ja')
|
||
if len(lang) == 2:
|
||
for supported_lang in TRANSLATIONS:
|
||
if supported_lang.startswith(lang):
|
||
return supported_lang
|
||
|
||
# 1. Direct match
|
||
if target_lang in TRANSLATIONS:
|
||
return target_lang
|
||
|
||
# 2. Variant fallback (explicit mapping)
|
||
# Mapping regional variants to their most complete translation set
|
||
fallback_map = {
|
||
"zh": "zh-CN",
|
||
"en": "en-US",
|
||
"ja": "ja-JP",
|
||
"ko": "ko-KR",
|
||
"zh-CN": "zh-CN",
|
||
"zh-HK": "zh-HK",
|
||
"zh-TW": "zh-TW",
|
||
"es-AR": "es-ES",
|
||
"es-MX": "es-ES",
|
||
"fr-CA": "fr-FR",
|
||
"en-CA": "en-US",
|
||
"en-GB": "en-US",
|
||
"en-AU": "en-US",
|
||
"de-AT": "de-DE",
|
||
}
|
||
if target_lang in fallback_map:
|
||
target_lang = fallback_map[target_lang]
|
||
if target_lang in TRANSLATIONS:
|
||
return target_lang
|
||
|
||
# 3. Base language fallback (e.g. fr-BE -> fr-FR)
|
||
if "-" in lang:
|
||
base_lang = lang.split("-")[0]
|
||
# Check if base lang matches any supported translation
|
||
for supported_lang in TRANSLATIONS:
|
||
if supported_lang.startswith(base_lang):
|
||
return supported_lang
|
||
|
||
return "en-US"
|
||
|
||
|
||
def _extract_text_content(content: Any) -> str:
|
||
"""Normalize message content to a plain text string.
|
||
|
||
Handles both simple string content and OpenAI-style multi-part
|
||
content arrays (e.g. [{"type": "text", "text": "hello"}]).
|
||
"""
|
||
if isinstance(content, str):
|
||
return content
|
||
if isinstance(content, list):
|
||
return "".join(
|
||
part.get("text", "")
|
||
for part in content
|
||
if isinstance(part, dict) and part.get("type") == "text"
|
||
).strip()
|
||
return str(content)
|
||
|
||
|
||
def _get_translation(valves, lang: str, key: str, **kwargs) -> str:
|
||
"""Retrieve a localized string by key, falling back to en-US on miss.
|
||
|
||
Args:
|
||
valves: Plugin Valves instance (used by _resolve_language).
|
||
lang: BCP-47 language tag resolved from user context.
|
||
key: Translation key defined in the TRANSLATIONS dict.
|
||
**kwargs: Optional format arguments interpolated into the string.
|
||
|
||
Returns:
|
||
Fully formatted localized string.
|
||
"""
|
||
target = _resolve_language(valves, lang)
|
||
trans_set = TRANSLATIONS.get(target, TRANSLATIONS["en-US"])
|
||
text = trans_set.get(key, TRANSLATIONS["en-US"].get(key, key))
|
||
return text.format(**kwargs) if kwargs else text
|
||
|
||
|
||
def _extract_markdown_syntax(content: str) -> str:
|
||
"""Strip wrapping fenced code block markers from LLM output.
|
||
|
||
Extracts the inner Markdown text from a ```markdown ... ``` block.
|
||
If no code fence is found, the raw content is returned as-is.
|
||
Also escapes '</script>' tags to prevent XSS when embedding in HTML.
|
||
"""
|
||
match = re.search(
|
||
r"```(?:markdown|md)?\s*(.*?)\s*```", content, re.DOTALL | re.IGNORECASE
|
||
)
|
||
extracted = match.group(1).strip() if match else content.strip()
|
||
return extracted.replace("</script>", "<\\/script>")
|
||
|
||
|
||
HTML_WRAPPER_TEMPLATE = """
|
||
<!-- OPENWEBUI_PLUGIN_OUTPUT -->
|
||
<!DOCTYPE html>
|
||
<html lang="{lang}">
|
||
<head>
|
||
<meta charset="UTF-8">
|
||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||
<style>
|
||
body {
|
||
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
|
||
margin: 0;
|
||
padding: 12px;
|
||
background-color: transparent;
|
||
width: 100%;
|
||
box-sizing: border-box;
|
||
}
|
||
#main-container {
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
width: 100%;
|
||
}
|
||
.plugin-item {
|
||
width: 100%;
|
||
border-radius: 12px;
|
||
overflow: visible;
|
||
transition: all 0.3s ease;
|
||
}
|
||
.plugin-item:hover {
|
||
transform: translateY(-2px);
|
||
}
|
||
/* STYLES_INSERTION_POINT */
|
||
</style>
|
||
</head>
|
||
<body>
|
||
<div id="main-container">
|
||
<!-- CONTENT_INSERTION_POINT -->
|
||
</div>
|
||
<!-- SCRIPTS_INSERTION_POINT -->
|
||
</body>
|
||
</html>
|
||
"""
|
||
|
||
|
||
async def _emit_status(emitter, description: str, done: bool = False):
|
||
"""Emit a status event to the OpenWebUI frontend.
|
||
|
||
Args:
|
||
emitter: The __event_emitter__ callable injected by OpenWebUI.
|
||
description: Human-readable status message to display.
|
||
done: True marks the status as terminal (spinner stops).
|
||
"""
|
||
if emitter:
|
||
await emitter(
|
||
{"type": "status", "data": {"description": description, "done": done}}
|
||
)
|
||
|
||
|
||
async def _emit_notification(emitter, content: str, ntype: str = "info"):
|
||
"""Emit a toast notification event to the OpenWebUI frontend.
|
||
|
||
Args:
|
||
emitter: The __event_emitter__ callable injected by OpenWebUI.
|
||
content: Notification body text.
|
||
ntype: Severity level — one of 'info', 'warning', 'error', 'success'.
|
||
"""
|
||
if emitter:
|
||
await emitter(
|
||
{"type": "notification", "data": {"type": ntype, "content": content}}
|
||
)
|
||
|
||
|
||
async def _get_user_context(
|
||
__user__: dict,
|
||
__request__: Request,
|
||
valves: Any = None,
|
||
__event_call__: Callable = None,
|
||
) -> dict:
|
||
"""Extract basic user context with safe fallbacks, matching Action logic perfectly."""
|
||
# 1. Base identity
|
||
if isinstance(__user__, (list, tuple)):
|
||
user_data = __user__[0] if __user__ else {}
|
||
elif isinstance(__user__, dict):
|
||
user_data = __user__
|
||
else:
|
||
user_data = {}
|
||
|
||
user_id = user_data.get("id", "unknown")
|
||
user_name = user_data.get("name", "User")
|
||
|
||
# Priority 4 (Lowest): User Profile language setting
|
||
user_language = user_data.get("language", "en-US")
|
||
|
||
# Priority 3: Accept-Language from __request__ headers
|
||
if (
|
||
__request__
|
||
and hasattr(__request__, "headers")
|
||
and "accept-language" in __request__.headers
|
||
):
|
||
raw_lang = __request__.headers.get("accept-language", "")
|
||
if raw_lang:
|
||
user_language = raw_lang.split(",")[0].split(";")[0]
|
||
|
||
# Priority 2: Browser/Frontend Detection (via JS)
|
||
if __event_call__:
|
||
try:
|
||
js_code = """
|
||
try {
|
||
return (
|
||
document.documentElement.lang ||
|
||
localStorage.getItem('locale') ||
|
||
localStorage.getItem('language') ||
|
||
navigator.language ||
|
||
'en-US'
|
||
);
|
||
} catch (e) {
|
||
return 'en-US';
|
||
}
|
||
"""
|
||
frontend_lang = await asyncio.wait_for(
|
||
__event_call__({"type": "execute", "data": {"code": js_code}}),
|
||
timeout=2.0,
|
||
)
|
||
if frontend_lang and isinstance(frontend_lang, str):
|
||
logger.info(f"Frontend language detected via JS: {frontend_lang}")
|
||
user_language = frontend_lang
|
||
except Exception as e:
|
||
logger.warning(
|
||
f"Failed to retrieve frontend language via __event_call__: {e}"
|
||
)
|
||
|
||
return {"user_id": user_id, "user_name": user_name, "user_language": user_language}
|
||
|
||
|
||
SCRIPT_TEMPLATE_MINDMAP = """
|
||
<script>
|
||
(function() {
|
||
const uniqueId = {unique_id_json};
|
||
const i18n = {i18n_json};
|
||
|
||
const loadScriptOnce = (src, checkFn) => {
|
||
if (checkFn()) return Promise.resolve();
|
||
return new Promise((resolve, reject) => {
|
||
const existing = document.querySelector(`script[data-src="${src}"]`);
|
||
if (existing) {
|
||
existing.addEventListener('load', () => resolve());
|
||
existing.addEventListener('error', () => reject(new Error('Loading failed: ' + src)));
|
||
return;
|
||
}
|
||
const script = document.createElement('script');
|
||
script.src = src;
|
||
script.async = true;
|
||
script.dataset.src = src;
|
||
script.onload = () => resolve();
|
||
script.onerror = () => reject(new Error('Loading failed: ' + src));
|
||
document.head.appendChild(script);
|
||
});
|
||
};
|
||
|
||
const ensureMarkmapReady = () =>
|
||
loadScriptOnce('https://cdn.jsdelivr.net/npm/d3@7', () => window.d3)
|
||
.then(() => loadScriptOnce('https://cdn.jsdelivr.net/npm/markmap-lib@0.17', () => window.markmap && window.markmap.Transformer))
|
||
.then(() => loadScriptOnce('https://cdn.jsdelivr.net/npm/markmap-view@0.17', () => window.markmap && window.markmap.Markmap));
|
||
|
||
const getThemeFromParentClass = () => {
|
||
try {
|
||
if (!window.parent || window.parent === window) return null;
|
||
const pDoc = window.parent.document;
|
||
const html = pDoc.documentElement;
|
||
const body = pDoc.body;
|
||
const htmlClass = html ? html.className : '';
|
||
const bodyClass = body ? body.className : '';
|
||
const htmlDataTheme = html ? html.getAttribute('data-theme') : '';
|
||
if (htmlDataTheme === 'dark' || bodyClass.includes('dark') || htmlClass.includes('dark')) return 'dark';
|
||
if (htmlDataTheme === 'light' || bodyClass.includes('light') || htmlClass.includes('light')) return 'light';
|
||
return null;
|
||
} catch (err) {
|
||
return null;
|
||
}
|
||
};
|
||
|
||
const setTheme = (wrapperEl, explicitTheme) => {
|
||
const parentClassTheme = getThemeFromParentClass();
|
||
const prefersDark = window.matchMedia && window.matchMedia('(prefers-color-scheme: dark)').matches;
|
||
const chosen = explicitTheme || parentClassTheme || (prefersDark ? 'dark' : 'light');
|
||
wrapperEl.classList.toggle('theme-dark', chosen === 'dark');
|
||
return chosen;
|
||
};
|
||
|
||
const renderMindmap = () => {
|
||
const containerEl = document.getElementById('markmap-container-' + uniqueId);
|
||
if (!containerEl || containerEl.dataset.markmapRendered) return;
|
||
|
||
const sourceEl = document.getElementById('markdown-source-' + uniqueId);
|
||
if (!sourceEl) return;
|
||
|
||
const markdownContent = sourceEl.textContent.trim();
|
||
if (!markdownContent) {
|
||
containerEl.innerHTML = '<div class="error-message">' + i18n.html_error_missing_content + '</div>';
|
||
return;
|
||
}
|
||
|
||
ensureMarkmapReady().then(() => {
|
||
const svgEl = document.createElementNS('http://www.w3.org/2000/svg', 'svg');
|
||
svgEl.style.width = '100%';
|
||
svgEl.style.height = '100%';
|
||
containerEl.innerHTML = '';
|
||
containerEl.appendChild(svgEl);
|
||
|
||
const { Transformer, Markmap } = window.markmap;
|
||
const transformer = new Transformer();
|
||
const { root } = transformer.transform(markdownContent);
|
||
|
||
const containerWidth = containerEl.clientWidth || window.innerWidth;
|
||
const containerHeight = containerEl.clientHeight || window.innerHeight;
|
||
const isPortrait = containerHeight >= containerWidth * 0.8;
|
||
|
||
const style = (id) => `
|
||
${id} text, ${id} foreignObject { font-size: 16px; }
|
||
${id} foreignObject { line-height: 1.6; }
|
||
${id} foreignObject div { padding: 2px 0; }
|
||
${id} foreignObject h1 { font-size: 24px; font-weight: 700; margin: 0 0 6px 0; border-bottom: 2px solid currentColor; padding-bottom: 4px; display: inline-block; }
|
||
${id} foreignObject h2 { font-size: 18px; font-weight: 600; margin: 0 0 4px 0; }
|
||
${id} foreignObject strong { font-weight: 700; }
|
||
${id} foreignObject p { margin: 2px 0; }
|
||
`;
|
||
|
||
let responsiveMaxWidth = Math.max(220, Math.floor(containerWidth * 0.35));
|
||
let dynamicSpacingVertical = 12;
|
||
let dynamicSpacingHorizontal = 60;
|
||
|
||
if (isPortrait) {
|
||
responsiveMaxWidth = Math.max(140, Math.floor(containerWidth * 0.35));
|
||
dynamicSpacingVertical = 20;
|
||
}
|
||
|
||
const options = {
|
||
autoFit: true,
|
||
style: style,
|
||
initialExpandLevel: 3,
|
||
zoom: true,
|
||
pan: true,
|
||
fitRatio: 0.95,
|
||
maxWidth: responsiveMaxWidth,
|
||
spacingVertical: dynamicSpacingVertical,
|
||
spacingHorizontal: dynamicSpacingHorizontal,
|
||
colorFreezeLevel: 2
|
||
};
|
||
|
||
const markmapInstance = Markmap.create(svgEl, options, root);
|
||
|
||
setTimeout(() => markmapInstance.fit(), 300);
|
||
|
||
const resizeObserver = new ResizeObserver(entries => {
|
||
for (let entry of entries) {
|
||
if (entry.contentRect.width > 0 && entry.contentRect.height > 0) {
|
||
requestAnimationFrame(() => markmapInstance.fit());
|
||
}
|
||
}
|
||
});
|
||
resizeObserver.observe(containerEl);
|
||
|
||
window['markmapInstance_' + uniqueId] = markmapInstance;
|
||
containerEl.dataset.markmapRendered = 'true';
|
||
|
||
setupControls({
|
||
containerEl,
|
||
svgEl,
|
||
markmapInstance,
|
||
root
|
||
});
|
||
|
||
}).catch((error) => {
|
||
console.error('Markmap loading error:', error);
|
||
containerEl.innerHTML = '<div class="error-message">' + i18n.html_error_load_failed + '</div>';
|
||
});
|
||
};
|
||
|
||
const adjustLayout = () => {
|
||
const wrapper = document.querySelector('.mindmap-container-wrapper');
|
||
const header = document.querySelector('.header');
|
||
const contentArea = document.querySelector('.content-area');
|
||
if (!wrapper || !header || !contentArea) return;
|
||
const headerH = header.getBoundingClientRect().height;
|
||
const totalH = wrapper.getBoundingClientRect().height;
|
||
const contentH = Math.max(totalH - headerH, 200);
|
||
contentArea.style.height = contentH + 'px';
|
||
};
|
||
|
||
const setupControls = ({ containerEl, svgEl, markmapInstance, root }) => {
|
||
const downloadSvgBtn = document.getElementById('download-svg-btn-' + uniqueId);
|
||
const downloadPngBtn = document.getElementById('download-png-btn-' + uniqueId);
|
||
const downloadMdBtn = document.getElementById('download-md-btn-' + uniqueId);
|
||
const zoomInBtn = document.getElementById('zoom-in-btn-' + uniqueId);
|
||
const zoomOutBtn = document.getElementById('zoom-out-btn-' + uniqueId);
|
||
const zoomResetBtn = document.getElementById('zoom-reset-btn-' + uniqueId);
|
||
const depthSelect = document.getElementById('depth-select-' + uniqueId);
|
||
const fullscreenBtn = document.getElementById('fullscreen-btn-' + uniqueId);
|
||
const themeToggleBtn = document.getElementById('theme-toggle-btn-' + uniqueId);
|
||
|
||
const wrapper = containerEl.closest('.mindmap-container-wrapper');
|
||
let currentTheme = setTheme(wrapper);
|
||
|
||
const showFeedback = (button, textOk = i18n.js_done, textFail = i18n.js_failed) => {
|
||
if (!button) return;
|
||
const buttonText = button.querySelector('.btn-text') || button;
|
||
const originalText = buttonText.textContent;
|
||
button.disabled = true;
|
||
buttonText.textContent = textOk;
|
||
setTimeout(() => {
|
||
buttonText.textContent = originalText;
|
||
button.disabled = false;
|
||
}, 1800);
|
||
};
|
||
|
||
const copyToClipboard = (content, button) => {
|
||
if (navigator.clipboard && window.isSecureContext) {
|
||
navigator.clipboard.writeText(content).then(() => showFeedback(button), () => showFeedback(button, i18n.js_failed, i18n.js_failed));
|
||
} else {
|
||
const textArea = document.createElement('textarea');
|
||
textArea.value = content;
|
||
textArea.style.position = 'fixed';
|
||
textArea.style.opacity = '0';
|
||
document.body.appendChild(textArea);
|
||
textArea.focus();
|
||
textArea.select();
|
||
try {
|
||
document.execCommand('copy');
|
||
showFeedback(button);
|
||
} catch (err) {
|
||
showFeedback(button, i18n.js_failed, i18n.js_failed);
|
||
}
|
||
document.body.removeChild(textArea);
|
||
}
|
||
};
|
||
|
||
const handleDownloadSVG = () => {
|
||
const clonedSvg = svgEl.cloneNode(true);
|
||
const style = document.createElement('style');
|
||
style.textContent = `
|
||
text { font-family: sans-serif; fill: ${currentTheme === 'dark' ? '#ffffff' : '#000000'}; }
|
||
foreignObject, .markmap-foreign, .markmap-foreign div { color: ${currentTheme === 'dark' ? '#ffffff' : '#000000'}; font-family: sans-serif; font-size: 14px; }
|
||
h1 { font-size: 22px; font-weight: 700; margin: 0; }
|
||
h2 { font-size: 18px; font-weight: 600; margin: 0; }
|
||
strong { font-weight: 700; }
|
||
.markmap-link { stroke: ${currentTheme === 'dark' ? '#cbd5e1' : '#546e7a'}; }
|
||
.markmap-node circle, .markmap-node rect { stroke: ${currentTheme === 'dark' ? '#94a3b8' : '#94a3b8'}; }
|
||
`;
|
||
clonedSvg.prepend(style);
|
||
const svgData = new XMLSerializer().serializeToString(clonedSvg);
|
||
copyToClipboard(svgData, downloadSvgBtn);
|
||
};
|
||
|
||
const handleDownloadMD = () => {
|
||
const markdownContent = document.getElementById('markdown-source-' + uniqueId)?.textContent || '';
|
||
copyToClipboard(markdownContent, downloadMdBtn);
|
||
};
|
||
|
||
const handleDownloadPNG = () => {
|
||
const btn = downloadPngBtn;
|
||
const originalText = btn.textContent;
|
||
btn.textContent = i18n.js_generating;
|
||
btn.disabled = true;
|
||
|
||
try {
|
||
const clonedSvg = svgEl.cloneNode(true);
|
||
clonedSvg.setAttribute('xmlns', 'http://www.w3.org/2000/svg');
|
||
const rect = svgEl.getBoundingClientRect();
|
||
const width = rect.width || 800;
|
||
const height = rect.height || 600;
|
||
clonedSvg.setAttribute('width', width);
|
||
clonedSvg.setAttribute('height', height);
|
||
|
||
const foreignObjects = clonedSvg.querySelectorAll('foreignObject');
|
||
foreignObjects.forEach(fo => {
|
||
const text = fo.textContent || '';
|
||
const g = document.createElementNS('http://www.w3.org/2000/svg', 'g');
|
||
const textEl = document.createElementNS('http://www.w3.org/2000/svg', 'text');
|
||
textEl.setAttribute('x', fo.getAttribute('x') || '0');
|
||
textEl.setAttribute('y', (parseFloat(fo.getAttribute('y') || '0') + 14).toString());
|
||
textEl.setAttribute('fill', currentTheme === 'dark' ? '#ffffff' : '#000000');
|
||
textEl.setAttribute('font-family', 'sans-serif');
|
||
textEl.setAttribute('font-size', '14');
|
||
textEl.textContent = text.trim();
|
||
g.appendChild(textEl);
|
||
fo.parentNode.replaceChild(g, fo);
|
||
});
|
||
|
||
const style = document.createElementNS('http://www.w3.org/2000/svg', 'style');
|
||
style.textContent = `
|
||
text { font-family: sans-serif; font-size: 14px; fill: ${currentTheme === 'dark' ? '#ffffff' : '#000000'}; }
|
||
.markmap-link { fill: none; stroke: ${currentTheme === 'dark' ? '#cbd5e1' : '#546e7a'}; stroke-width: 2; }
|
||
.markmap-node circle { stroke: ${currentTheme === 'dark' ? '#94a3b8' : '#94a3b8'}; stroke-width: 2; }
|
||
`;
|
||
clonedSvg.insertBefore(style, clonedSvg.firstChild);
|
||
|
||
const bgRect = document.createElementNS('http://www.w3.org/2000/svg', 'rect');
|
||
bgRect.setAttribute('width', '100%');
|
||
bgRect.setAttribute('height', '100%');
|
||
bgRect.setAttribute('fill', currentTheme === 'dark' ? '#1f2937' : '#ffffff');
|
||
clonedSvg.insertBefore(bgRect, clonedSvg.firstChild);
|
||
|
||
const svgData = new XMLSerializer().serializeToString(clonedSvg);
|
||
const svgBase64 = btoa(unescape(encodeURIComponent(svgData)));
|
||
const img = new Image();
|
||
img.onload = () => {
|
||
const canvas = document.createElement('canvas');
|
||
const scale = 3;
|
||
canvas.width = width * scale;
|
||
canvas.height = height * scale;
|
||
const ctx = canvas.getContext('2d');
|
||
ctx.scale(scale, scale);
|
||
ctx.drawImage(img, 0, 0, width, height);
|
||
|
||
canvas.toBlob((blob) => {
|
||
if (!blob) return;
|
||
const a = document.createElement('a');
|
||
a.download = i18n.js_filename;
|
||
a.href = URL.createObjectURL(blob);
|
||
a.click();
|
||
URL.revokeObjectURL(a.href);
|
||
btn.textContent = originalText;
|
||
btn.disabled = false;
|
||
showFeedback(btn);
|
||
}, 'image/png');
|
||
};
|
||
img.src = 'data:image/svg+xml;base64,' + svgBase64;
|
||
} catch (err) {
|
||
btn.textContent = originalText;
|
||
btn.disabled = false;
|
||
showFeedback(btn, i18n.js_failed, i18n.js_failed);
|
||
}
|
||
};
|
||
|
||
const handleZoom = (dir) => {
|
||
if (dir === 'reset') markmapInstance.fit();
|
||
else if (markmapInstance.rescale) {
|
||
markmapInstance.rescale(dir === 'in' ? 1.25 : 0.8);
|
||
}
|
||
};
|
||
|
||
const handleDepthChange = (e) => {
|
||
const level = parseInt(e.target.value, 10);
|
||
const expandLevel = level === 0 ? Infinity : level;
|
||
|
||
const applyFold = (node, currentDepth) => {
|
||
if (!node) return;
|
||
if (!node.payload) node.payload = {};
|
||
node.payload.fold = currentDepth >= expandLevel ? 1 : 0;
|
||
if (node.children) node.children.forEach(c => applyFold(c, currentDepth + 1));
|
||
};
|
||
|
||
const cleanRoot = JSON.parse(JSON.stringify(root));
|
||
applyFold(cleanRoot, 0);
|
||
markmapInstance.setOptions({ initialExpandLevel: expandLevel });
|
||
markmapInstance.setData(cleanRoot);
|
||
setTimeout(() => markmapInstance.fit(), 50);
|
||
};
|
||
|
||
const handleFullscreen = () => {
|
||
const el = wrapper || containerEl;
|
||
if (!document.fullscreenElement) {
|
||
el.requestFullscreen().catch(() => containerEl.requestFullscreen());
|
||
} else {
|
||
document.exitFullscreen();
|
||
}
|
||
};
|
||
|
||
downloadSvgBtn?.addEventListener('click', () => handleDownloadSVG());
|
||
downloadMdBtn?.addEventListener('click', () => handleDownloadMD());
|
||
downloadPngBtn?.addEventListener('click', () => handleDownloadPNG());
|
||
zoomInBtn?.addEventListener('click', () => handleZoom('in'));
|
||
zoomOutBtn?.addEventListener('click', () => handleZoom('out'));
|
||
zoomResetBtn?.addEventListener('click', () => handleZoom('reset'));
|
||
depthSelect?.addEventListener('change', handleDepthChange);
|
||
fullscreenBtn?.addEventListener('click', handleFullscreen);
|
||
themeToggleBtn?.addEventListener('click', () => {
|
||
currentTheme = currentTheme === 'dark' ? 'light' : 'dark';
|
||
setTheme(wrapper, currentTheme);
|
||
});
|
||
};
|
||
|
||
if (document.readyState === 'loading') {
|
||
document.addEventListener('DOMContentLoaded', renderMindmap);
|
||
} else {
|
||
renderMindmap();
|
||
}
|
||
})();
|
||
</script>
|
||
"""
|
||
|
||
|
||
class Tools:
|
||
"""Smart Mind Map Tool — OpenWebUI Tool plugin.
|
||
|
||
Proactively transforms multi-turn conversation content into an
|
||
interactive, browser-rendered mind map powered by Markmap.
|
||
The AI decides when a mind map would be beneficial and invokes
|
||
this tool automatically, unlike the Action variant which requires
|
||
manual user initiation.
|
||
|
||
Key features:
|
||
- Full UI parity with the Smart Mind Map Action.
|
||
- Multi-layer language detection (JS frontend > HTTP header > profile).
|
||
- 5-second waiting notification to reassure users during slow LLM calls.
|
||
- Configurable via Valves: model, min text length, message count,
|
||
and fallback language.
|
||
"""
|
||
|
||
class Valves(BaseModel):
|
||
MODEL_ID: str = Field(
|
||
default="",
|
||
description="Specific model ID to use for mind map analysis (e.g., 'gpt-4o'). If empty, uses the current conversation model.",
|
||
)
|
||
MIN_TEXT_LENGTH: int = Field(
|
||
default=100,
|
||
description="Minimum text length (character count) required for mind map analysis.",
|
||
)
|
||
MESSAGE_COUNT: int = Field(
|
||
default=12,
|
||
description="Number of recent messages to use for generation (0 for all messages).",
|
||
)
|
||
|
||
def __init__(self):
|
||
"""Initialise plugin state: Valves config and internal lookup maps."""
|
||
self.valves = self.Valves()
|
||
self.weekday_map = {
|
||
"Monday": "Monday",
|
||
"Tuesday": "Tuesday",
|
||
"Wednesday": "Wednesday",
|
||
"Thursday": "Thursday",
|
||
"Friday": "Friday",
|
||
"Saturday": "Saturday",
|
||
"Sunday": "Sunday",
|
||
}
|
||
self.fallback_map = {
|
||
"es-AR": "es-ES",
|
||
"es-MX": "es-ES",
|
||
"fr-CA": "fr-FR",
|
||
"en-CA": "en-US",
|
||
"en-GB": "en-US",
|
||
"en-AU": "en-US",
|
||
"de-AT": "de-DE",
|
||
}
|
||
|
||
CSS_TEMPLATE = """
|
||
:root {
|
||
--primary-color: #1e88e5;
|
||
--secondary-color: #43a047;
|
||
--background-color: #f4f6f8;
|
||
--card-bg-color: #ffffff;
|
||
--text-color: #000000;
|
||
--link-color: #546e7a;
|
||
--node-stroke-color: #90a4ae;
|
||
--muted-text-color: #546e7a;
|
||
--border-color: #e0e0e0;
|
||
--header-gradient: linear-gradient(135deg, var(--secondary-color), var(--primary-color));
|
||
--shadow: 0 10px 20px rgba(0, 0, 0, 0.06);
|
||
--border-radius: 12px;
|
||
--font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
|
||
}
|
||
.theme-dark {
|
||
--primary-color: #64b5f6;
|
||
--secondary-color: #81c784;
|
||
--background-color: #111827;
|
||
--card-bg-color: #1f2937;
|
||
--text-color: #ffffff;
|
||
--link-color: #cbd5e1;
|
||
--node-stroke-color: #94a3b8;
|
||
--muted-text-color: #9ca3af;
|
||
--border-color: #374151;
|
||
--header-gradient: linear-gradient(135deg, #0ea5e9, #22c55e);
|
||
--shadow: 0 10px 20px rgba(0, 0, 0, 0.3);
|
||
}
|
||
html, body {
|
||
margin: 0;
|
||
padding: 0;
|
||
width: 100%;
|
||
height: 100%;
|
||
background-color: transparent !important;
|
||
overflow: hidden;
|
||
}
|
||
.mindmap-container-wrapper {
|
||
font-family: var(--font-family);
|
||
line-height: 1.6;
|
||
color: var(--text-color);
|
||
margin: 0;
|
||
padding: 0;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
display: flex;
|
||
flex-direction: column;
|
||
background: var(--card-bg-color);
|
||
width: 100%;
|
||
aspect-ratio: 16 / 9;
|
||
min-height: 300px;
|
||
max-height: 800px;
|
||
box-sizing: border-box;
|
||
overflow: hidden;
|
||
border: 1px solid var(--border-color);
|
||
border-radius: var(--border-radius);
|
||
box-shadow: var(--shadow);
|
||
}
|
||
.header {
|
||
background: var(--card-bg-color);
|
||
color: var(--text-color);
|
||
padding: 8px 16px;
|
||
display: flex;
|
||
flex-direction: column;
|
||
gap: 8px;
|
||
flex-shrink: 0;
|
||
border-bottom: 1px solid var(--border-color);
|
||
z-index: 10;
|
||
}
|
||
.header-top {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 12px;
|
||
}
|
||
.header h1 {
|
||
margin: 0;
|
||
font-size: 1.1em;
|
||
font-weight: 600;
|
||
letter-spacing: 0.3px;
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 8px;
|
||
}
|
||
.header-credits {
|
||
font-size: 0.8em;
|
||
color: var(--muted-text-color);
|
||
opacity: 0.8;
|
||
white-space: nowrap;
|
||
}
|
||
.header-credits a {
|
||
color: var(--primary-color);
|
||
text-decoration: none;
|
||
border-bottom: 1px dotted var(--link-color);
|
||
}
|
||
|
||
.content-area {
|
||
padding: 0;
|
||
flex: 1 1 0;
|
||
background: var(--card-bg-color);
|
||
position: relative;
|
||
overflow: hidden;
|
||
width: 100%;
|
||
min-height: 0;
|
||
}
|
||
.markmap-container {
|
||
position: absolute;
|
||
top: 0;
|
||
left: 0;
|
||
right: 0;
|
||
bottom: 0;
|
||
background-color: var(--card-bg-color);
|
||
}
|
||
.markmap-container svg {
|
||
width: 100%;
|
||
height: 100%;
|
||
display: block;
|
||
}
|
||
.markmap-container svg text {
|
||
fill: var(--text-color) !important;
|
||
font-family: var(--font-family);
|
||
}
|
||
.markmap-container svg foreignObject,
|
||
.markmap-container svg .markmap-foreign,
|
||
.markmap-container svg .markmap-foreign div {
|
||
color: var(--text-color) !important;
|
||
font-family: var(--font-family);
|
||
}
|
||
.markmap-container svg .markmap-link {
|
||
stroke: var(--link-color) !important;
|
||
stroke-opacity: 0.6;
|
||
}
|
||
.theme-dark .markmap-node circle {
|
||
fill: var(--card-bg-color) !important;
|
||
}
|
||
.markmap-container svg .markmap-node circle,
|
||
.markmap-container svg .markmap-node rect {
|
||
stroke: var(--node-stroke-color) !important;
|
||
}
|
||
.control-rows {
|
||
display: flex;
|
||
align-items: center;
|
||
flex-wrap: wrap;
|
||
gap: 12px;
|
||
margin-left: auto;
|
||
}
|
||
.btn-group {
|
||
display: inline-flex;
|
||
gap: 4px;
|
||
align-items: center;
|
||
border: 1px solid var(--border-color);
|
||
border-radius: 6px;
|
||
padding: 2px;
|
||
background: var(--background-color);
|
||
}
|
||
.control-btn {
|
||
background-color: transparent;
|
||
color: var(--text-color);
|
||
border: none;
|
||
padding: 4px 10px;
|
||
border-radius: 4px;
|
||
font-size: 0.85em;
|
||
font-weight: 500;
|
||
cursor: pointer;
|
||
transition: all 0.2s ease;
|
||
display: inline-flex;
|
||
align-items: center;
|
||
justify-content: center;
|
||
height: 28px;
|
||
box-sizing: border-box;
|
||
opacity: 0.8;
|
||
}
|
||
.control-btn:hover {
|
||
background-color: var(--card-bg-color);
|
||
opacity: 1;
|
||
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
|
||
}
|
||
.control-btn.primary {
|
||
background-color: var(--primary-color);
|
||
color: white;
|
||
opacity: 1;
|
||
}
|
||
.control-btn.primary:hover {
|
||
box-shadow: 0 2px 5px rgba(30,136,229,0.3);
|
||
}
|
||
select.control-btn {
|
||
appearance: none;
|
||
padding-right: 28px;
|
||
background-image: url("data:image/svg+xml;charset=US-ASCII,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22292.4%22%20height%3D%22292.4%22%3E%3Cpath%20fill%3D%22%23FFFFFF%22%20d%3D%22M287%2069.4a17.6%2017.6%200%200%200-13-5.4H18.4c-5%200-9.3%201.8-12.9%205.4A17.6%2017.6%200%200%200%200%2082.2c0%205%201.8%209.3%205.4%2012.9l128%20127.9c3.6%203.6%207.8%205.4%2012.8%205.4s9.2-1.8%2012.8-5.4L287%2095c3.5-3.5%205.4-7.8%205.4-12.8%200-5-1.9-9.2-5.5-12.8z%22%2F%3E%3C%2Fsvg%3E");
|
||
background-repeat: no-repeat;
|
||
background-position: right 8px center;
|
||
background-size: 10px;
|
||
}
|
||
.control-btn option {
|
||
background-color: var(--card-bg-color);
|
||
color: var(--text-color);
|
||
}
|
||
@media screen and (max-width: 768px) {
|
||
.mindmap-container-wrapper {
|
||
aspect-ratio: 4 / 5;
|
||
min-height: 480px;
|
||
max-height: 85vh;
|
||
}
|
||
.header { flex-direction: column; gap: 10px; }
|
||
.btn-group { padding: 2px; }
|
||
.control-btn { padding: 4px 6px; font-size: 0.75em; height: 28px; }
|
||
select.control-btn { padding-right: 20px; background-position: right 4px center; }
|
||
}
|
||
"""
|
||
|
||
CONTENT_TEMPLATE = """
|
||
<div class="mindmap-container-wrapper">
|
||
<div class="header">
|
||
<div class="header-top">
|
||
<h1>{t_ui_title}</h1>
|
||
<div class="header-credits">
|
||
<span>{t_ui_footer}</span>
|
||
</div>
|
||
<div class="control-rows">
|
||
<div class="btn-group">
|
||
<button id="download-png-btn-{unique_id}" class="control-btn primary" title="{t_ui_download_png}">PNG</button>
|
||
<button id="download-svg-btn-{unique_id}" class="control-btn" title="{t_ui_download_svg}">SVG</button>
|
||
<button id="download-md-btn-{unique_id}" class="control-btn" title="{t_ui_download_md}">MD</button>
|
||
</div>
|
||
<div class="btn-group">
|
||
<button id="zoom-out-btn-{unique_id}" class="control-btn" title="{t_ui_zoom_out}">-</button>
|
||
<button id="zoom-reset-btn-{unique_id}" class="control-btn" title="{t_ui_zoom_reset}">↺</button>
|
||
<button id="zoom-in-btn-{unique_id}" class="control-btn" title="{t_ui_zoom_in}">+</button>
|
||
</div>
|
||
<div class="btn-group">
|
||
<select id="depth-select-{unique_id}" class="control-btn" title="{t_ui_depth_select}">
|
||
<option value="0">{t_ui_depth_all}</option>
|
||
<option value="2">{t_ui_depth_2}</option>
|
||
<option value="3" selected>{t_ui_depth_3}</option>
|
||
</select>
|
||
<button id="fullscreen-btn-{unique_id}" class="control-btn" title="{t_ui_fullscreen}">⛶</button>
|
||
<button id="theme-toggle-btn-{unique_id}" class="control-btn" title="{t_ui_theme}">◑</button>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="content-area">
|
||
<div class="markmap-container" id="markmap-container-{unique_id}"></div>
|
||
</div>
|
||
</div>
|
||
|
||
<script type="text/template" id="markdown-source-{unique_id}">{markdown_syntax}</script>
|
||
"""
|
||
|
||
async def generate_mind_map(
|
||
self,
|
||
__user__: dict = {},
|
||
__event_emitter__: Callable = None,
|
||
__event_call__: Callable = None,
|
||
__request__: Request = None,
|
||
__messages__: list = [],
|
||
__metadata__: dict = {},
|
||
) -> Any:
|
||
"""Entry point invoked by the AI to generate an interactive mind map.
|
||
|
||
Aggregates conversation messages from the __messages__ injection,
|
||
calls the configured LLM to produce a Markmap-compatible Markdown
|
||
outline, then renders it as a self-contained HTML response embedded
|
||
directly into the chat.
|
||
|
||
OpenWebUI injects __messages__ directly with the full conversation
|
||
history. The MESSAGE_COUNT valve controls how many recent messages
|
||
are included (0 = all).
|
||
|
||
A background timer fires a user-visible notification if LLM analysis
|
||
exceeds 5 seconds, ensuring the user is informed during slow responses.
|
||
|
||
Args:
|
||
__user__: OpenWebUI user context dict.
|
||
__event_emitter__: Async callable for status/notification events.
|
||
__event_call__: Async callable for JS execution (language detection).
|
||
__request__: Starlette Request — used for Accept-Language header.
|
||
__messages__: Full conversation history injected by OpenWebUI.
|
||
__metadata__: OpenWebUI metadata bag containing model ID, etc.
|
||
|
||
Returns:
|
||
HTMLResponse with the full mind map page on success, or an error string.
|
||
"""
|
||
user_ctx = await _get_user_context(
|
||
__user__, __request__, self.valves, __event_call__
|
||
)
|
||
user_lang = user_ctx["user_language"]
|
||
user_name = user_ctx["user_name"]
|
||
|
||
# Aggregate conversation messages from __messages__ (OpenWebUI direct injection)
|
||
target_text = ""
|
||
all_msgs = __messages__ or []
|
||
|
||
if all_msgs:
|
||
count = self.valves.MESSAGE_COUNT
|
||
if count > 1:
|
||
recent = all_msgs[-count:]
|
||
else:
|
||
# 0: all messages
|
||
recent = all_msgs
|
||
|
||
aggregated = []
|
||
for msg in recent:
|
||
# Filter out messages that don't have user-visible content
|
||
# or are internal tool calls to avoid noise
|
||
role = msg.get("role")
|
||
content = _extract_text_content(msg.get("content", ""))
|
||
|
||
if content and role in ["user", "assistant"]:
|
||
prefix = "User: " if role == "user" else "Assistant: "
|
||
aggregated.append(f"{prefix}{content}")
|
||
|
||
if aggregated:
|
||
target_text = "\n\n".join(aggregated)
|
||
logger.info(f"Aggregated {len(aggregated)} messages for mind map.")
|
||
|
||
await _emit_status(
|
||
__event_emitter__,
|
||
_get_translation(self.valves, user_lang, "status_starting"),
|
||
False,
|
||
)
|
||
|
||
if not target_text or len(target_text) < self.valves.MIN_TEXT_LENGTH:
|
||
msg = _get_translation(
|
||
self.valves,
|
||
user_lang,
|
||
"error_text_too_short",
|
||
len=len(target_text),
|
||
min_len=self.valves.MIN_TEXT_LENGTH,
|
||
)
|
||
await _emit_notification(__event_emitter__, msg, "warning")
|
||
return f"⚠️ {msg}"
|
||
|
||
await _emit_status(
|
||
__event_emitter__,
|
||
_get_translation(self.valves, user_lang, "status_analyzing"),
|
||
False,
|
||
)
|
||
|
||
async def _notify_waiting():
|
||
try:
|
||
await asyncio.sleep(5.0)
|
||
await _emit_notification(
|
||
__event_emitter__,
|
||
_get_translation(self.valves, user_lang, "notification_waiting"),
|
||
"info",
|
||
)
|
||
except asyncio.CancelledError:
|
||
pass
|
||
|
||
waiting_task = asyncio.create_task(_notify_waiting())
|
||
|
||
try:
|
||
target_model = self.valves.MODEL_ID
|
||
if not target_model:
|
||
meta_model = __metadata__.get("model", "")
|
||
if isinstance(meta_model, dict):
|
||
target_model = meta_model.get("id", "gpt-4o")
|
||
elif isinstance(meta_model, str) and meta_model.strip():
|
||
target_model = meta_model
|
||
target_model = target_model or "gpt-4o"
|
||
# Prepare prompt context
|
||
tz_str = os.environ.get("TZ", "UTC")
|
||
now = datetime.now(ZoneInfo(tz_str))
|
||
current_date_time_str = now.strftime("%Y-%m-%d %H:%M:%S")
|
||
current_weekday = now.strftime("%A")
|
||
|
||
resolved_lang = _resolve_language(self.valves, user_lang)
|
||
|
||
prompt = (
|
||
USER_PROMPT_GENERATE_MINDMAP.replace("{user_name}", user_name)
|
||
.replace("{current_date_time_str}", current_date_time_str)
|
||
.replace("{current_weekday}", current_weekday)
|
||
.replace("{current_timezone_str}", tz_str)
|
||
.replace("{user_language}", resolved_lang)
|
||
.replace("{long_text_content}", target_text)
|
||
)
|
||
|
||
payload = {
|
||
"model": target_model,
|
||
"messages": [
|
||
{"role": "system", "content": SYSTEM_PROMPT_MINDMAP_ASSISTANT},
|
||
{"role": "user", "content": prompt},
|
||
],
|
||
"temperature": 0.5,
|
||
"stream": False,
|
||
}
|
||
user_obj = Users.get_user_by_id(user_ctx["user_id"])
|
||
response = await generate_chat_completion(__request__, payload, user_obj)
|
||
assistant_content = response["choices"][0]["message"]["content"]
|
||
markdown_syntax = _extract_markdown_syntax(assistant_content)
|
||
|
||
unique_id = f"mm_{int(time.time())}"
|
||
ui_trans = {
|
||
f"t_{k}": _get_translation(self.valves, user_lang, k)
|
||
for k in TRANSLATIONS["en-US"]
|
||
if k.startswith("ui_")
|
||
}
|
||
|
||
html_body = self.CONTENT_TEMPLATE.replace("{unique_id}", unique_id).replace(
|
||
"{markdown_syntax}", markdown_syntax
|
||
)
|
||
for k, v in ui_trans.items():
|
||
html_body = html_body.replace(f"{{{k}}}", v)
|
||
js_trans = {
|
||
k: v
|
||
for k, v in TRANSLATIONS.get(
|
||
_resolve_language(self.valves, user_lang), TRANSLATIONS["en-US"]
|
||
).items()
|
||
if k.startswith("js_") or k.startswith("html_")
|
||
}
|
||
|
||
js_code = SCRIPT_TEMPLATE_MINDMAP.replace(
|
||
"{unique_id_json}", json.dumps(unique_id)
|
||
).replace("{i18n_json}", json.dumps(js_trans, ensure_ascii=False))
|
||
|
||
full_html = (
|
||
HTML_WRAPPER_TEMPLATE.replace("{lang}", user_lang[0:2])
|
||
.replace("/* STYLES_INSERTION_POINT */", self.CSS_TEMPLATE)
|
||
.replace("<!-- CONTENT_INSERTION_POINT -->", html_body)
|
||
.replace("<!-- SCRIPTS_INSERTION_POINT -->", js_code)
|
||
)
|
||
|
||
waiting_task.cancel()
|
||
await _emit_status(
|
||
__event_emitter__,
|
||
_get_translation(self.valves, user_lang, "status_drawing"),
|
||
True,
|
||
)
|
||
return HTMLResponse(
|
||
content=full_html, headers={"Content-Disposition": "inline"}
|
||
)
|
||
|
||
except Exception as e:
|
||
waiting_task.cancel()
|
||
logger.error(f"Generate Mind Map failed: {e}")
|
||
await _emit_status(__event_emitter__, f"Error: {e}", True)
|
||
return f"❌ {e}"
|