725 lines
26 KiB
Python
725 lines
26 KiB
Python
"""
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title: 闪记卡 (Flash Card)
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author: Fu-Jie
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author_url: https://github.com/Fu-Jie
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funding_url: https://github.com/Fu-Jie/awesome-openwebui
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version: 0.2.4
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icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwb2x5Z29uIHBvaW50cz0iMTIgMiAyIDcgMTIgMTIgMjIgNyAxMiAyIi8+PHBvbHlsaW5lIHBvaW50cz0iMiAxNyAxMiAyMiAyMiAxNyIvPjxwb2x5bGluZSBwb2ludHM9IjIgMTIgMTIgMTcgMjIgMTIiLz48L3N2Zz4=
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description: 快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。
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"""
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from pydantic import BaseModel, Field
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from typing import Optional, Dict, Any, List
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import json
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import logging
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import re
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from open_webui.utils.chat import generate_chat_completion
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from open_webui.models.users import Users
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# Setup logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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HTML_WRAPPER_TEMPLATE = """
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<!-- OPENWEBUI_PLUGIN_OUTPUT -->
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<!DOCTYPE html>
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<html lang="{user_language}">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<style>
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
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margin: 0;
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padding: 10px;
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background-color: transparent;
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}
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#main-container {
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display: flex;
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flex-wrap: wrap;
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gap: 20px;
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align-items: flex-start;
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width: 100%;
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}
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.plugin-item {
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flex: 1 1 400px; /* 默认宽度，允许伸缩 */
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min-width: 300px;
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background: white;
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border-radius: 12px;
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box-shadow: 0 4px 6px rgba(0,0,0,0.05);
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overflow: hidden;
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border: 1px solid #e5e7eb;
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transition: all 0.3s ease;
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}
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.plugin-item:hover {
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box-shadow: 0 10px 15px rgba(0,0,0,0.1);
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}
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@media (max-width: 768px) {
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.plugin-item { flex: 1 1 100%; }
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}
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/* STYLES_INSERTION_POINT */
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</style>
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</head>
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<body>
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<div id="main-container">
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<!-- CONTENT_INSERTION_POINT -->
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</div>
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<!-- SCRIPTS_INSERTION_POINT -->
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</body>
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</html>
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"""
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class Action:
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class Valves(BaseModel):
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MODEL_ID: str = Field(
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default="",
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description="用于生成卡片内容的模型 ID。如果为空，则使用当前模型。",
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)
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MIN_TEXT_LENGTH: int = Field(
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default=50, description="生成闪记卡所需的最小文本长度（字符数）。"
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)
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LANGUAGE: str = Field(
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default="zh", description="卡片内容的目标语言 (例如 'zh', 'en')。"
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)
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SHOW_STATUS: bool = Field(
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default=True, description="是否在聊天界面显示状态更新。"
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)
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CLEAR_PREVIOUS_HTML: bool = Field(
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default=False,
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description="是否强制清除旧的插件结果（如果为 True，则不合并，直接覆盖）。",
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)
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MESSAGE_COUNT: int = Field(
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default=1,
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description="用于生成的最近消息数量。设置为1仅使用最后一条消息，更大值可包含更多上下文。",
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)
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def __init__(self):
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self.valves = self.Valves()
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def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
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"""安全提取用户上下文信息，支持多种输入格式。"""
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if isinstance(__user__, (list, tuple)):
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user_data = __user__[0] if __user__ else {}
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elif isinstance(__user__, dict):
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user_data = __user__
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else:
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user_data = {}
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return {
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"user_id": user_data.get("id", "unknown_user"),
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"user_name": user_data.get("name", "用户"),
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"user_language": user_data.get("language", "zh-CN"),
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}
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async def action(
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self,
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body: dict,
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__user__: Optional[Dict[str, Any]] = None,
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__event_emitter__: Optional[Any] = None,
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__request__: Optional[Any] = None,
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) -> Optional[dict]:
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logger.info(f"Action: {__name__} 触发")
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if not __event_emitter__:
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return body
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# Get messages based on MESSAGE_COUNT
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messages = body.get("messages", [])
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if not messages:
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return body
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# Get last N messages based on MESSAGE_COUNT
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message_count = min(self.valves.MESSAGE_COUNT, len(messages))
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recent_messages = messages[-message_count:]
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# Aggregate content from selected messages with labels
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aggregated_parts = []
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for i, msg in enumerate(recent_messages, 1):
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text_content = self._extract_text_content(msg.get("content"))
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if text_content:
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role = msg.get("role", "unknown")
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role_label = (
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"用户"
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if role == "user"
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else "助手" if role == "assistant" else role
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)
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aggregated_parts.append(f"{text_content}")
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if not aggregated_parts:
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return body
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target_message = "\n\n---\n\n".join(aggregated_parts)
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# Check text length
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text_length = len(target_message)
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if text_length < self.valves.MIN_TEXT_LENGTH:
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await self._emit_notification(
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__event_emitter__,
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f"文本内容过短 ({text_length} 字符)，建议至少 {self.valves.MIN_TEXT_LENGTH} 字符。",
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"warning",
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)
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return body
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# Notify user that we are generating the card
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await self._emit_notification(__event_emitter__, "⚡ 正在生成闪记卡...", "info")
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await self._emit_status(__event_emitter__, "⚡ 闪记卡: 开始生成...", done=False)
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try:
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# 1. Extract information using LLM
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await self._emit_status(
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__event_emitter__, "⚡ 闪记卡: 正在调用 AI 模型分析内容...", done=False
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)
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user_ctx = self._get_user_context(__user__)
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user_id = user_ctx["user_id"]
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user_obj = Users.get_user_by_id(user_id)
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target_model = (
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self.valves.MODEL_ID if self.valves.MODEL_ID else body.get("model")
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)
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system_prompt = f"""
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你是一个闪记卡生成专家，专注于创建适合学习和记忆的知识卡片。你的任务是将文本提炼成简洁、易记的学习卡片。
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请提取以下字段，并以 JSON 格式返回：
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1. "title": 创建一个简短、精准的标题（3-8 个词），突出核心概念
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2. "summary": 用一句话总结核心要义（10-25 个词），要通俗易懂、便于记忆
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3. "key_points": 列出 3-5 个关键记忆点（每个 5-15 个词）
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- 每个要点应该是独立的知识点
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- 使用简洁、口语化的表达
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- 避免冗长的句子
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4. "tags": 列出 2-4 个分类标签（每个 1-3 个词）
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5. "category": 选择一个主分类（如：概念、技能、事实、方法等）
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目标语言: {self.valves.LANGUAGE}
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重要原则：
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- **极简主义**: 每个要点都要精炼到极致
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- **记忆优先**: 内容要便于记忆和回忆
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- **核心聚焦**: 只提取最核心的知识点
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- **口语化**: 使用通俗易懂的语言
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- 只返回 JSON 对象，不要包含 markdown 格式
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"""
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prompt = f"请将以下文本提炼成一张学习记忆卡片：\n\n{target_message}"
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payload = {
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"model": target_model,
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"messages": [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": prompt},
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],
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"stream": False,
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}
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response = await generate_chat_completion(__request__, payload, user_obj)
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content = response["choices"][0]["message"]["content"]
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await self._emit_status(
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__event_emitter__, "⚡ 闪记卡: AI 分析完成，正在解析数据...", done=False
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)
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# Parse JSON
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try:
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# simple cleanup in case of markdown code blocks
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if "```json" in content:
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content = content.split("```json")[1].split("```")[0].strip()
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elif "```" in content:
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content = content.split("```")[1].split("```")[0].strip()
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card_data = json.loads(content)
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except Exception as e:
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logger.error(f"Failed to parse JSON: {e}, content: {content}")
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await self._emit_status(
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__event_emitter__, "❌ 闪记卡: 数据解析失败", done=True
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)
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await self._emit_notification(
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__event_emitter__, "❌ 生成卡片数据失败，请重试。", "error"
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)
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return body
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# 2. Generate HTML components
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await self._emit_status(
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__event_emitter__, "⚡ 闪记卡: 正在渲染卡片...", done=False
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)
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card_content, card_style = self.generate_html_card_components(card_data)
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# 3. Append to message
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# Extract existing HTML if any
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existing_html_block = ""
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match = re.search(
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r"```html\s*(<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?)```",
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body["messages"][-1]["content"],
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)
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if match:
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existing_html_block = match.group(1)
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if self.valves.CLEAR_PREVIOUS_HTML:
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body["messages"][-1]["content"] = self._remove_existing_html(
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body["messages"][-1]["content"]
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)
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final_html = self._merge_html(
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"", card_content, card_style, "", self.valves.LANGUAGE
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)
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else:
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if existing_html_block:
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body["messages"][-1]["content"] = self._remove_existing_html(
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body["messages"][-1]["content"]
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)
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final_html = self._merge_html(
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existing_html_block,
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card_content,
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card_style,
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"",
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self.valves.LANGUAGE,
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)
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else:
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final_html = self._merge_html(
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"", card_content, card_style, "", self.valves.LANGUAGE
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)
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html_embed_tag = f"```html\n{final_html}\n```"
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body["messages"][-1]["content"] += f"\n\n{html_embed_tag}"
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await self._emit_status(
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__event_emitter__, "✅ 闪记卡: 生成完成！", done=True
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)
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await self._emit_notification(
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__event_emitter__, "⚡ 闪记卡生成成功！", "success"
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)
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return body
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except Exception as e:
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logger.error(f"Error generating knowledge card: {e}")
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await self._emit_status(__event_emitter__, "❌ 闪记卡: 生成失败", done=True)
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await self._emit_notification(
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__event_emitter__, f"❌ 生成知识卡片时出错: {str(e)}", "error"
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)
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return body
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async def _emit_status(self, emitter, description: str, done: bool = False):
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"""发送状态更新事件。"""
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if self.valves.SHOW_STATUS and emitter:
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await emitter(
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{"type": "status", "data": {"description": description, "done": done}}
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)
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async def _emit_notification(self, emitter, content: str, ntype: str = "info"):
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"""发送通知事件 (info/success/warning/error)。"""
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if emitter:
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await emitter(
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{"type": "notification", "data": {"type": ntype, "content": content}}
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)
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def _remove_existing_html(self, content: str) -> str:
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"""移除内容中已有的插件生成 HTML 代码块 (通过标记识别)。"""
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pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"
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return re.sub(pattern, "", content).strip()
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def _extract_text_content(self, content) -> str:
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"""从消息内容中提取文本，支持多模态消息格式"""
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if isinstance(content, str):
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return content
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elif isinstance(content, list):
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# 多模态消息: [{"type": "text", "text": "..."}, {"type": "image_url", ...}]
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text_parts = []
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for item in content:
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if isinstance(item, dict) and item.get("type") == "text":
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text_parts.append(item.get("text", ""))
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elif isinstance(item, str):
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text_parts.append(item)
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return "\n".join(text_parts)
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return str(content) if content else ""
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def _merge_html(
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self,
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existing_html_code: str,
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new_content: str,
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new_styles: str = "",
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new_scripts: str = "",
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user_language: str = "zh-CN",
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) -> str:
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"""
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将新内容合并到现有的 HTML 容器中，或者创建一个新的容器。
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"""
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if (
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"<!-- OPENWEBUI_PLUGIN_OUTPUT -->" in existing_html_code
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and "<!-- CONTENT_INSERTION_POINT -->" in existing_html_code
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):
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base_html = existing_html_code
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base_html = re.sub(r"^```html\s*", "", base_html)
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base_html = re.sub(r"\s*```$", "", base_html)
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else:
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base_html = HTML_WRAPPER_TEMPLATE.replace("{user_language}", user_language)
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wrapped_content = f'<div class="plugin-item">\n{new_content}\n</div>'
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if new_styles:
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base_html = base_html.replace(
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"/* STYLES_INSERTION_POINT */",
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f"{new_styles}\n/* STYLES_INSERTION_POINT */",
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)
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base_html = base_html.replace(
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"<!-- CONTENT_INSERTION_POINT -->",
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f"{wrapped_content}\n<!-- CONTENT_INSERTION_POINT -->",
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)
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if new_scripts:
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base_html = base_html.replace(
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"<!-- SCRIPTS_INSERTION_POINT -->",
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f"{new_scripts}\n<!-- SCRIPTS_INSERTION_POINT -->",
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)
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return base_html.strip()
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def generate_html_card_components(self, data):
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# Enhanced CSS with premium styling
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style = """
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap');
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.knowledge-card-container {
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font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
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display: flex;
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justify-content: center;
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margin: 30px 0;
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padding: 0 10px;
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}
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.knowledge-card {
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width: 100%;
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max-width: 500px;
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border-radius: 20px;
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overflow: hidden;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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padding: 3px;
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transition: all 0.4s cubic-bezier(0.4, 0, 0.2, 1);
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position: relative;
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}
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.knowledge-card:hover {
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transform: translateY(-8px) scale(1.02);
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box-shadow: 0 25px 50px -12px rgba(102, 126, 234, 0.4);
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}
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.knowledge-card::before {
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content: '';
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position: absolute;
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top: -2px;
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left: -2px;
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right: -2px;
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bottom: -2px;
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background: linear-gradient(135deg, #667eea, #764ba2, #f093fb, #4facfe);
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border-radius: 20px;
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opacity: 0;
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transition: opacity 0.4s ease;
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z-index: -1;
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filter: blur(10px);
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}
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.knowledge-card:hover::before {
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opacity: 0.7;
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animation: glow 2s ease-in-out infinite;
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}
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@keyframes glow {
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0%, 100% { opacity: 0.5; }
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50% { opacity: 0.8; }
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}
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.card-inner {
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background: #ffffff;
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border-radius: 18px;
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overflow: hidden;
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}
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.card-header {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 32px 28px;
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position: relative;
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overflow: hidden;
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}
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.card-header::before {
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content: '';
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position: absolute;
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top: -50%;
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right: -50%;
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width: 200%;
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height: 200%;
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background: radial-gradient(circle, rgba(255,255,255,0.1) 0%, transparent 70%);
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animation: rotate 15s linear infinite;
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}
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@keyframes rotate {
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from { transform: rotate(0deg); }
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to { transform: rotate(360deg); }
|
||
}
|
||
|
||
.card-category {
|
||
font-size: 0.7em;
|
||
text-transform: uppercase;
|
||
letter-spacing: 2px;
|
||
opacity: 0.95;
|
||
margin-bottom: 10px;
|
||
font-weight: 700;
|
||
display: inline-block;
|
||
padding: 4px 12px;
|
||
background: rgba(255, 255, 255, 0.2);
|
||
border-radius: 12px;
|
||
backdrop-filter: blur(10px);
|
||
}
|
||
|
||
.card-title {
|
||
font-size: 1.75em;
|
||
font-weight: 800;
|
||
margin: 0;
|
||
line-height: 1.3;
|
||
position: relative;
|
||
z-index: 1;
|
||
letter-spacing: -0.5px;
|
||
}
|
||
|
||
.card-body {
|
||
padding: 28px;
|
||
color: #1a1a1a;
|
||
background: linear-gradient(to bottom, #ffffff 0%, #fafafa 100%);
|
||
}
|
||
|
||
.card-summary {
|
||
font-size: 1.05em;
|
||
color: #374151;
|
||
margin-bottom: 24px;
|
||
line-height: 1.7;
|
||
border-left: 5px solid #764ba2;
|
||
padding: 16px 20px;
|
||
background: linear-gradient(135deg, rgba(102, 126, 234, 0.08) 0%, rgba(118, 75, 162, 0.08) 100%);
|
||
border-radius: 0 12px 12px 0;
|
||
font-weight: 500;
|
||
position: relative;
|
||
overflow: hidden;
|
||
}
|
||
|
||
.card-summary::before {
|
||
content: '"';
|
||
position: absolute;
|
||
top: -10px;
|
||
left: 10px;
|
||
font-size: 4em;
|
||
color: rgba(118, 75, 162, 0.1);
|
||
font-family: Georgia, serif;
|
||
font-weight: bold;
|
||
}
|
||
|
||
.card-section-title {
|
||
font-size: 0.85em;
|
||
font-weight: 700;
|
||
color: #764ba2;
|
||
margin-bottom: 14px;
|
||
text-transform: uppercase;
|
||
letter-spacing: 1.5px;
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 8px;
|
||
}
|
||
|
||
.card-section-title::before {
|
||
content: '';
|
||
width: 4px;
|
||
height: 16px;
|
||
background: linear-gradient(to bottom, #667eea, #764ba2);
|
||
border-radius: 2px;
|
||
}
|
||
|
||
.card-points {
|
||
list-style: none;
|
||
padding: 0;
|
||
margin: 0;
|
||
}
|
||
|
||
.card-points li {
|
||
margin-bottom: 14px;
|
||
padding: 12px 16px 12px 44px;
|
||
position: relative;
|
||
line-height: 1.6;
|
||
color: #374151;
|
||
background: #ffffff;
|
||
border-radius: 10px;
|
||
transition: all 0.3s ease;
|
||
border: 1px solid #e5e7eb;
|
||
font-weight: 500;
|
||
}
|
||
|
||
.card-points li:hover {
|
||
transform: translateX(5px);
|
||
background: linear-gradient(135deg, rgba(102, 126, 234, 0.05) 0%, rgba(118, 75, 162, 0.05) 100%);
|
||
border-color: #764ba2;
|
||
box-shadow: 0 4px 12px rgba(118, 75, 162, 0.1);
|
||
}
|
||
|
||
.card-points li::before {
|
||
content: '✓';
|
||
color: #ffffff;
|
||
background: linear-gradient(135deg, #667eea, #764ba2);
|
||
font-weight: bold;
|
||
position: absolute;
|
||
left: 12px;
|
||
top: 50%;
|
||
transform: translateY(-50%);
|
||
width: 24px;
|
||
height: 24px;
|
||
display: flex;
|
||
align-items: center;
|
||
justify-content: center;
|
||
border-radius: 50%;
|
||
font-size: 0.85em;
|
||
box-shadow: 0 2px 8px rgba(118, 75, 162, 0.3);
|
||
}
|
||
|
||
.card-footer {
|
||
padding: 20px 28px;
|
||
background: linear-gradient(to right, #f8fafc 0%, #f1f5f9 100%);
|
||
display: flex;
|
||
flex-wrap: wrap;
|
||
gap: 10px;
|
||
border-top: 2px solid #e5e7eb;
|
||
align-items: center;
|
||
}
|
||
|
||
.card-tag-label {
|
||
font-size: 0.75em;
|
||
font-weight: 700;
|
||
color: #64748b;
|
||
text-transform: uppercase;
|
||
letter-spacing: 1px;
|
||
margin-right: 4px;
|
||
}
|
||
|
||
.card-tag {
|
||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||
color: white;
|
||
padding: 6px 16px;
|
||
border-radius: 20px;
|
||
font-size: 0.85em;
|
||
font-weight: 600;
|
||
transition: all 0.3s ease;
|
||
border: 2px solid transparent;
|
||
cursor: default;
|
||
letter-spacing: 0.3px;
|
||
}
|
||
|
||
.card-tag:hover {
|
||
transform: translateY(-2px);
|
||
box-shadow: 0 4px 12px rgba(102, 126, 234, 0.4);
|
||
border-color: rgba(255, 255, 255, 0.3);
|
||
}
|
||
|
||
/* Dark mode support */
|
||
@media (prefers-color-scheme: dark) {
|
||
.card-inner {
|
||
background: #1e1e1e;
|
||
}
|
||
|
||
.card-body {
|
||
background: linear-gradient(to bottom, #1e1e1e 0%, #252525 100%);
|
||
color: #e5e7eb;
|
||
}
|
||
|
||
.card-summary {
|
||
background: linear-gradient(135deg, rgba(102, 126, 234, 0.15) 0%, rgba(118, 75, 162, 0.15) 100%);
|
||
color: #d1d5db;
|
||
}
|
||
|
||
.card-summary::before {
|
||
color: rgba(118, 75, 162, 0.2);
|
||
}
|
||
|
||
.card-points li {
|
||
color: #d1d5db;
|
||
background: #2d2d2d;
|
||
border-color: #404040;
|
||
}
|
||
|
||
.card-points li:hover {
|
||
background: linear-gradient(135deg, rgba(102, 126, 234, 0.15) 0%, rgba(118, 75, 162, 0.15) 100%);
|
||
border-color: #667eea;
|
||
}
|
||
|
||
.card-footer {
|
||
background: linear-gradient(to right, #252525 0%, #2d2d2d 100%);
|
||
border-top-color: #404040;
|
||
}
|
||
|
||
.card-tag-label {
|
||
color: #9ca3af;
|
||
}
|
||
}
|
||
|
||
/* Mobile responsive */
|
||
@media (max-width: 640px) {
|
||
.knowledge-card {
|
||
max-width: 100%;
|
||
}
|
||
|
||
.card-header {
|
||
padding: 24px 20px;
|
||
}
|
||
|
||
.card-title {
|
||
font-size: 1.5em;
|
||
}
|
||
|
||
.card-body {
|
||
padding: 20px;
|
||
}
|
||
|
||
.card-footer {
|
||
padding: 16px 20px;
|
||
}
|
||
}
|
||
"""
|
||
|
||
# Generate tags HTML
|
||
tags_html = ""
|
||
if "tags" in data and data["tags"]:
|
||
for tag in data["tags"]:
|
||
tags_html += f'<div class="card-tag"><span class="card-tag-label">#</span>{tag}</div>'
|
||
|
||
# Generate key points HTML
|
||
points_html = ""
|
||
if "key_points" in data and data["key_points"]:
|
||
for point in data["key_points"]:
|
||
points_html += f"<li>{point}</li>"
|
||
|
||
# Build the card HTML structure
|
||
content = f"""
|
||
<div class="knowledge-card-container">
|
||
<div class="knowledge-card">
|
||
<div class="card-inner">
|
||
<div class="card-header">
|
||
<div class="card-category">{data.get('category', 'Knowledge')}</div>
|
||
<h2 class="card-title">{data.get('title', 'Flash Card')}</h2>
|
||
</div>
|
||
<div class="card-body">
|
||
<div class="card-summary">
|
||
{data.get('summary', '')}
|
||
</div>
|
||
|
||
<div class="card-section-title">KEY POINTS</div>
|
||
<ul class="card-points">
|
||
{points_html}
|
||
</ul>
|
||
</div>
|
||
<div class="card-footer">
|
||
{tags_html}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
"""
|
||
|
||
return content, style
|