Remove deprecated files and modules from the txt2graph tool, including the main application, graph builder, text extractor, and associated resources. This cleanup streamlines the project structure and prepares for future enhancements.
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# Zep Cloud API Key
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# 从 https://app.getzep.com 获取
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ZEP_API_KEY=your_zep_api_key_here
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# txt2graph
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将文本文件（PDF/Markdown/TXT）转换为知识图谱的工具。
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## 功能特点
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- 支持多种文件格式：PDF、Markdown、TXT
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- 基于 Zep Cloud 的知识图谱构建
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- 自动提取真实存在的实体（人物、公司、组织、地点、产品、事件、媒体）
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- 交互式图谱可视化界面
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- 实体和关系的详细展示
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## 实体类型
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本工具只提取现实生活中真实存在的、可以有行动的实体：
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| 类型 | 说明 | 示例 |
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|------|------|------|
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| Person | 真实的人物 | 马化腾、Elon Musk |
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| Company | 注册的公司 | 腾讯、Apple Inc. |
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| Organization | 组织机构 | 武汉大学、联合国 |
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| Location | 地理位置 | 北京、硅谷 |
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| Product | 具体产品/服务 | iPhone、微信 |
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| Event | 真实事件 | 2024年巴黎奥运会 |
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| Media | 媒体机构 | 人民日报、CNN |
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## 安装
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### 1. 激活conda环境
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```bash
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conda activate MiroFish
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```
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### 2. 安装依赖
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```bash
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cd txt2graph
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pip install -r requirements.txt
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```
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### 3. 配置环境变量
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复制 `.env.example` 为 `.env` 并填入你的 Zep API Key：
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```bash
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cp .env.example .env
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# 编辑 .env 文件，填入 ZEP_API_KEY
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```
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获取 API Key: https://app.getzep.com
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## 使用方法
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### 方式1: Web界面（推荐）
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启动 Streamlit 应用：
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```bash
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streamlit run app.py
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```
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然后在浏览器中打开显示的URL（通常是 http://localhost:8501）
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### 方式2: 命令行
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```python
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from text_extractor import extract_text
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from graph_builder import build_graph_from_text
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# 从文件提取文本
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text = extract_text("your_document.pdf")
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# 构建知识图谱
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graph_data = build_graph_from_text(
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text=text,
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graph_name="我的知识图谱",
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progress_callback=print
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)
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# 查看结果
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print(f"节点数: {len(graph_data.nodes)}")
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print(f"边数: {len(graph_data.edges)}")
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```
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## 项目结构
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```
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txt2graph/
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├── app.py # Streamlit Web应用
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├── text_extractor.py # 文本提取模块
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├── graph_builder.py # 图谱构建模块
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├── ontology.py # 实体类型定义
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├── requirements.txt # 依赖列表
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├── .env.example # 环境变量示例
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└── README.md # 说明文档
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```
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## 注意事项
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1. **处理时间**：知识图谱构建可能需要几分钟，取决于文本长度
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2. **API限制**：Zep Cloud 有API调用限制，大文件建议分批处理
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3. **文本质量**：输入文本的质量直接影响实体提取效果
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4. **费用**：Zep Cloud 可能会产生API调用费用，请查看其定价
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## 技术栈
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- [Zep Cloud](https://www.getzep.com/) - 知识图谱服务
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- [Streamlit](https://streamlit.io/) - Web界面框架
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- [PyVis](https://pyvis.readthedocs.io/) - 图可视化
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- [PyMuPDF](https://pymupdf.readthedocs.io/) - PDF处理
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497
txt2graph/app.py
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txt2graph/app.py
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"""
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txt2graph 可视化界面
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基于Streamlit和PyVis实现知识图谱可视化
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"""
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import os
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import tempfile
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import streamlit as st
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from pathlib import Path
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from pyvis.network import Network
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import streamlit.components.v1 as components
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from dotenv import load_dotenv
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load_dotenv()
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from text_extractor import extract_text, split_text_into_chunks
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from graph_builder import ZepGraphBuilder, GraphData
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# 页面配置
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st.set_page_config(
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page_title="txt2graph - 知识图谱生成器",
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page_icon="🕸️",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# 自定义CSS样式
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st.markdown("""
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+SC:wght@400;500;700&family=JetBrains+Mono&display=swap');
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.main {
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font-family: 'Noto Sans SC', sans-serif;
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}
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.stTitle {
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font-weight: 700 !important;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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.stats-card {
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background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
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border-radius: 12px;
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padding: 20px;
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margin: 10px 0;
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border: 1px solid rgba(102, 126, 234, 0.3);
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}
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.stats-number {
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font-size: 2.5rem;
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font-weight: 700;
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color: #667eea;
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font-family: 'JetBrains Mono', monospace;
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}
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.stats-label {
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font-size: 0.9rem;
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color: #a0a0a0;
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text-transform: uppercase;
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letter-spacing: 1px;
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}
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.entity-tag {
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display: inline-block;
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padding: 4px 12px;
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border-radius: 20px;
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font-size: 0.8rem;
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margin: 2px;
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font-weight: 500;
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}
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.entity-Person { background: rgba(255, 107, 107, 0.2); color: #ff6b6b; border: 1px solid #ff6b6b; }
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.entity-Company { background: rgba(78, 205, 196, 0.2); color: #4ecdc4; border: 1px solid #4ecdc4; }
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.entity-Organization { background: rgba(69, 183, 209, 0.2); color: #45b7d1; border: 1px solid #45b7d1; }
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.entity-Location { background: rgba(150, 206, 180, 0.2); color: #96ceb4; border: 1px solid #96ceb4; }
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.entity-Product { background: rgba(255, 238, 173, 0.2); color: #ffeead; border: 1px solid #ffeead; }
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.entity-Event { background: rgba(220, 198, 224, 0.2); color: #dcc6e0; border: 1px solid #dcc6e0; }
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.entity-Media { background: rgba(255, 183, 77, 0.2); color: #ffb74d; border: 1px solid #ffb74d; }
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.sidebar .stButton > button {
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width: 100%;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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border: none;
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padding: 12px 24px;
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border-radius: 8px;
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font-weight: 600;
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transition: all 0.3s ease;
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}
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.sidebar .stButton > button:hover {
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transform: translateY(-2px);
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box-shadow: 0 4px 20px rgba(102, 126, 234, 0.4);
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}
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</style>
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""", unsafe_allow_html=True)
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# 实体类型对应的颜色
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ENTITY_COLORS = {
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"Person": "#ff6b6b",
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"Company": "#4ecdc4",
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"Organization": "#45b7d1",
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"Location": "#96ceb4",
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"Product": "#ffeead",
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"Event": "#dcc6e0",
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"Media": "#ffb74d",
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}
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def create_pyvis_graph(graph_data: GraphData) -> str:
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"""
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创建PyVis图并返回HTML
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"""
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# 创建网络图
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net = Network(
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height="700px",
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width="100%",
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bgcolor="#0e1117",
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font_color="white",
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directed=True,
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select_menu=True,
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filter_menu=True,
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)
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# 配置物理引擎
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net.set_options("""
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{
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"nodes": {
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"font": {
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"size": 14,
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"face": "Noto Sans SC, Arial"
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},
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"borderWidth": 2,
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"shadow": true
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},
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"edges": {
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"color": {
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"inherit": false,
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"color": "#555555",
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"highlight": "#667eea"
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},
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"arrows": {
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"to": {
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"enabled": true,
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"scaleFactor": 0.5
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}
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},
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"smooth": {
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"type": "continuous",
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"roundness": 0.2
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},
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"font": {
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"size": 10,
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"color": "#888888",
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"face": "Noto Sans SC, Arial"
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}
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},
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"physics": {
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"enabled": true,
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"barnesHut": {
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"gravitationalConstant": -5000,
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"centralGravity": 0.3,
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"springLength": 150,
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"springConstant": 0.04,
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"damping": 0.09
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},
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"stabilization": {
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"enabled": true,
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"iterations": 200
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}
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},
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"interaction": {
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"hover": true,
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"tooltipDelay": 100,
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"navigationButtons": true,
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"keyboard": true
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}
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}
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""")
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# 构建节点UUID到名称的映射
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node_map = {node.uuid: node for node in graph_data.nodes}
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# 添加节点
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for node in graph_data.nodes:
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# 确定节点类型和颜色
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node_type = node.labels[0] if node.labels else "Unknown"
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color = ENTITY_COLORS.get(node_type, "#888888")
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# 构建工具提示
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title = f"<b>{node.name}</b><br>"
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title += f"<i>类型: {node_type}</i><br><br>"
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if node.summary:
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title += f"{node.summary[:200]}{'...' if len(node.summary) > 200 else ''}"
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# 根据节点类型调整大小
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size = 25 if node_type == "Person" else 30 if node_type in ["Company", "Organization"] else 20
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net.add_node(
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node.uuid,
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label=node.name,
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title=title,
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color=color,
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size=size,
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shape="dot",
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)
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# 添加边
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for edge in graph_data.edges:
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if edge.source_node_uuid in node_map and edge.target_node_uuid in node_map:
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# 构建边的工具提示
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title = edge.fact if edge.fact else edge.name
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net.add_edge(
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edge.source_node_uuid,
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edge.target_node_uuid,
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title=title,
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label=edge.name[:20] if edge.name else "",
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)
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# 生成HTML
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with tempfile.NamedTemporaryFile(mode='w', suffix='.html', delete=False, encoding='utf-8') as f:
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net.save_graph(f.name)
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with open(f.name, 'r', encoding='utf-8') as html_file:
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html_content = html_file.read()
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os.unlink(f.name)
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return html_content
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def display_stats(graph_data: GraphData):
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"""显示图谱统计信息"""
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col1, col2, col3 = st.columns(3)
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with col1:
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st.markdown(f"""
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<div class="stats-card">
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<div class="stats-number">{len(graph_data.nodes)}</div>
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<div class="stats-label">实体节点</div>
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</div>
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""", unsafe_allow_html=True)
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with col2:
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st.markdown(f"""
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<div class="stats-card">
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<div class="stats-number">{len(graph_data.edges)}</div>
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<div class="stats-label">关系边</div>
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</div>
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""", unsafe_allow_html=True)
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# 统计实体类型分布
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type_counts = {}
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for node in graph_data.nodes:
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node_type = node.labels[0] if node.labels else "Unknown"
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type_counts[node_type] = type_counts.get(node_type, 0) + 1
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with col3:
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st.markdown(f"""
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<div class="stats-card">
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<div class="stats-number">{len(type_counts)}</div>
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<div class="stats-label">实体类型</div>
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</div>
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""", unsafe_allow_html=True)
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def display_entity_list(graph_data: GraphData):
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"""显示实体列表"""
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st.subheader("实体列表")
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# 按类型分组
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entities_by_type = {}
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for node in graph_data.nodes:
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node_type = node.labels[0] if node.labels else "Unknown"
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if node_type not in entities_by_type:
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entities_by_type[node_type] = []
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entities_by_type[node_type].append(node)
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# 创建标签页
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if entities_by_type:
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tabs = st.tabs(list(entities_by_type.keys()))
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for tab, (entity_type, entities) in zip(tabs, entities_by_type.items()):
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with tab:
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for entity in entities:
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with st.expander(f"{entity.name}", expanded=False):
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if entity.summary:
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st.write(entity.summary)
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if entity.attributes:
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st.json(entity.attributes)
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def main():
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# 标题
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st.title("txt2graph")
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st.markdown("*将文本转化为知识图谱*")
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# 侧边栏
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with st.sidebar:
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st.header("配置")
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# API Key
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api_key = st.text_input(
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"Zep API Key",
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type="password",
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value=os.environ.get("ZEP_API_KEY", ""),
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help="从 https://app.getzep.com 获取API Key"
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)
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if api_key:
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os.environ["ZEP_API_KEY"] = api_key
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st.divider()
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# 文件上传
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st.header("上传文件")
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uploaded_file = st.file_uploader(
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"支持 .txt, .md, .pdf 文件",
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type=["txt", "md", "pdf"],
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help="上传要转换为知识图谱的文本文件"
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)
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# 或者直接输入文本
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st.divider()
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st.header("或直接输入文本")
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text_input = st.text_area(
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"输入文本内容",
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height=150,
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placeholder="在此输入或粘贴文本..."
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)
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st.divider()
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# 高级设置
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with st.expander("高级设置"):
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chunk_size = st.slider(
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"文本分块大小",
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min_value=500,
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max_value=4000,
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value=2000,
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step=500,
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help="较小的块处理更稳定，较大的块包含更多上下文"
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)
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graph_name = st.text_input(
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"图谱名称",
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value="Knowledge Graph",
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help="为生成的图谱命名"
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)
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st.divider()
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# 生成按钮
|
||||
generate_btn = st.button("生成知识图谱", type="primary", use_container_width=True)
|
||||
|
||||
# 主内容区
|
||||
if "graph_data" not in st.session_state:
|
||||
st.session_state.graph_data = None
|
||||
|
||||
if generate_btn:
|
||||
if not api_key:
|
||||
st.error("请先配置 Zep API Key")
|
||||
return
|
||||
|
||||
# 获取文本内容
|
||||
text_content = None
|
||||
|
||||
if uploaded_file:
|
||||
with st.spinner("正在提取文本..."):
|
||||
# 保存上传的文件到临时位置
|
||||
with tempfile.NamedTemporaryFile(delete=False, suffix=Path(uploaded_file.name).suffix) as tmp:
|
||||
tmp.write(uploaded_file.getvalue())
|
||||
tmp_path = tmp.name
|
||||
|
||||
try:
|
||||
text_content = extract_text(tmp_path)
|
||||
finally:
|
||||
os.unlink(tmp_path)
|
||||
elif text_input:
|
||||
text_content = text_input
|
||||
else:
|
||||
st.warning("请上传文件或输入文本")
|
||||
return
|
||||
|
||||
if text_content:
|
||||
st.info(f"提取了 {len(text_content)} 个字符的文本")
|
||||
|
||||
# 进度显示
|
||||
progress_bar = st.progress(0)
|
||||
status_text = st.empty()
|
||||
|
||||
try:
|
||||
# 创建图谱构建器
|
||||
builder = ZepGraphBuilder(api_key=api_key)
|
||||
|
||||
# 创建图谱
|
||||
status_text.text("创建图谱...")
|
||||
progress_bar.progress(10)
|
||||
graph_id = builder.create_graph(name=graph_name)
|
||||
|
||||
# 设置本体
|
||||
status_text.text("配置实体类型...")
|
||||
progress_bar.progress(20)
|
||||
builder.set_ontology(graph_id)
|
||||
|
||||
# 分块
|
||||
status_text.text("分割文本...")
|
||||
progress_bar.progress(30)
|
||||
chunks = split_text_into_chunks(text_content, max_chunk_size=chunk_size)
|
||||
st.info(f"文本已分为 {len(chunks)} 个块")
|
||||
|
||||
# 添加到图谱
|
||||
status_text.text("正在发送数据到Zep...")
|
||||
progress_bar.progress(40)
|
||||
|
||||
def update_progress(msg):
|
||||
status_text.text(msg)
|
||||
|
||||
# 分批发送数据
|
||||
task_ids = builder.add_text_to_graph(
|
||||
graph_id=graph_id,
|
||||
text_chunks=chunks,
|
||||
batch_size=3,
|
||||
progress_callback=update_progress
|
||||
)
|
||||
|
||||
# 等待处理完成
|
||||
progress_bar.progress(60)
|
||||
status_text.text("等待Zep处理数据...")
|
||||
|
||||
if task_ids:
|
||||
builder.wait_for_tasks(
|
||||
task_ids,
|
||||
timeout=600,
|
||||
progress_callback=update_progress
|
||||
)
|
||||
|
||||
# 获取图数据
|
||||
status_text.text("获取图谱数据...")
|
||||
progress_bar.progress(90)
|
||||
st.session_state.graph_data = builder.get_graph_data(graph_id)
|
||||
st.session_state.graph_id = graph_id
|
||||
|
||||
progress_bar.progress(100)
|
||||
status_text.text("完成!")
|
||||
st.success(f"知识图谱生成成功! Graph ID: {graph_id}")
|
||||
|
||||
except Exception as e:
|
||||
st.error(f"生成图谱时出错: {str(e)}")
|
||||
import traceback
|
||||
st.code(traceback.format_exc())
|
||||
|
||||
# 显示图谱
|
||||
if st.session_state.graph_data:
|
||||
graph_data = st.session_state.graph_data
|
||||
|
||||
# 统计信息
|
||||
display_stats(graph_data)
|
||||
|
||||
st.divider()
|
||||
|
||||
# 图谱可视化
|
||||
st.subheader("知识图谱可视化")
|
||||
|
||||
if graph_data.nodes:
|
||||
with st.spinner("渲染图谱..."):
|
||||
html_content = create_pyvis_graph(graph_data)
|
||||
components.html(html_content, height=750, scrolling=True)
|
||||
else:
|
||||
st.warning("图谱中没有节点")
|
||||
|
||||
st.divider()
|
||||
|
||||
# 实体列表
|
||||
col1, col2 = st.columns([1, 1])
|
||||
|
||||
with col1:
|
||||
display_entity_list(graph_data)
|
||||
|
||||
with col2:
|
||||
st.subheader("关系列表")
|
||||
if graph_data.edges:
|
||||
for edge in graph_data.edges[:50]: # 只显示前50条
|
||||
st.markdown(f"- **{edge.fact}**" if edge.fact else f"- {edge.name}")
|
||||
if len(graph_data.edges) > 50:
|
||||
st.caption(f"...还有 {len(graph_data.edges) - 50} 条关系")
|
||||
else:
|
||||
st.info("暂无关系数据")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
||||
|
|
@ -1,415 +0,0 @@
|
|||
"""
|
||||
Zep图谱构建模块
|
||||
负责与Zep云服务交互，构建知识图谱
|
||||
"""
|
||||
|
||||
import os
|
||||
import time
|
||||
import uuid
|
||||
from typing import Optional, Callable
|
||||
from dataclasses import dataclass
|
||||
|
||||
from zep_cloud.client import Zep
|
||||
from zep_cloud import EpisodeData, EntityEdgeSourceTarget
|
||||
|
||||
from ontology import ENTITY_TYPES, EDGE_TYPES
|
||||
|
||||
|
||||
@dataclass
|
||||
class GraphNode:
|
||||
"""图节点数据结构"""
|
||||
uuid: str
|
||||
name: str
|
||||
summary: str
|
||||
labels: list[str]
|
||||
attributes: dict
|
||||
|
||||
|
||||
@dataclass
|
||||
class GraphEdge:
|
||||
"""图边数据结构"""
|
||||
uuid: str
|
||||
name: str
|
||||
fact: str
|
||||
source_node_uuid: str
|
||||
target_node_uuid: str
|
||||
attributes: dict
|
||||
|
||||
|
||||
@dataclass
|
||||
class GraphData:
|
||||
"""完整图数据"""
|
||||
graph_id: str
|
||||
nodes: list[GraphNode]
|
||||
edges: list[GraphEdge]
|
||||
|
||||
|
||||
class ZepGraphBuilder:
|
||||
"""Zep知识图谱构建器"""
|
||||
|
||||
def __init__(self, api_key: Optional[str] = None):
|
||||
"""
|
||||
初始化图谱构建器
|
||||
|
||||
Args:
|
||||
api_key: Zep API密钥，如果不提供则从环境变量ZEP_API_KEY读取
|
||||
"""
|
||||
self.api_key = api_key or os.environ.get("ZEP_API_KEY")
|
||||
if not self.api_key:
|
||||
raise ValueError("需要提供ZEP_API_KEY，可以通过参数传入或设置环境变量")
|
||||
|
||||
self.client = Zep(api_key=self.api_key)
|
||||
|
||||
def create_graph(self, graph_id: Optional[str] = None, name: str = "Knowledge Graph") -> str:
|
||||
"""
|
||||
创建新的图谱
|
||||
|
||||
Args:
|
||||
graph_id: 图谱ID，如果不提供则自动生成
|
||||
name: 图谱名称
|
||||
|
||||
Returns:
|
||||
图谱ID
|
||||
"""
|
||||
if graph_id is None:
|
||||
graph_id = f"graph_{uuid.uuid4().hex[:16]}"
|
||||
|
||||
self.client.graph.create(
|
||||
graph_id=graph_id,
|
||||
name=name,
|
||||
description="Knowledge graph generated by txt2graph"
|
||||
)
|
||||
|
||||
return graph_id
|
||||
|
||||
def set_ontology(self, graph_id: str):
|
||||
"""
|
||||
为图谱设置自定义本体（实体和边类型）
|
||||
|
||||
Args:
|
||||
graph_id: 图谱ID
|
||||
"""
|
||||
# 构建边类型的源目标映射
|
||||
edge_definitions = {}
|
||||
|
||||
# WORKS_FOR: Person -> Organization/Company
|
||||
edge_definitions["WORKS_FOR"] = (
|
||||
EDGE_TYPES["WORKS_FOR"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Person", target="Organization"),
|
||||
EntityEdgeSourceTarget(source="Person", target="Company"),
|
||||
]
|
||||
)
|
||||
|
||||
# LOCATED_IN: 多种实体 -> Location
|
||||
edge_definitions["LOCATED_IN"] = (
|
||||
EDGE_TYPES["LOCATED_IN"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Person", target="Location"),
|
||||
EntityEdgeSourceTarget(source="Organization", target="Location"),
|
||||
EntityEdgeSourceTarget(source="Company", target="Location"),
|
||||
EntityEdgeSourceTarget(source="Event", target="Location"),
|
||||
]
|
||||
)
|
||||
|
||||
# PART_OF: Organization -> Organization, Company -> Company
|
||||
edge_definitions["PART_OF"] = (
|
||||
EDGE_TYPES["PART_OF"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Organization", target="Organization"),
|
||||
EntityEdgeSourceTarget(source="Company", target="Company"),
|
||||
]
|
||||
)
|
||||
|
||||
# PRODUCES: Company -> Product
|
||||
edge_definitions["PRODUCES"] = (
|
||||
EDGE_TYPES["PRODUCES"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Company", target="Product"),
|
||||
EntityEdgeSourceTarget(source="Organization", target="Product"),
|
||||
]
|
||||
)
|
||||
|
||||
# PARTICIPATES_IN: Person/Organization/Company -> Event
|
||||
edge_definitions["PARTICIPATES_IN"] = (
|
||||
EDGE_TYPES["PARTICIPATES_IN"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Person", target="Event"),
|
||||
EntityEdgeSourceTarget(source="Organization", target="Event"),
|
||||
EntityEdgeSourceTarget(source="Company", target="Event"),
|
||||
]
|
||||
)
|
||||
|
||||
# COLLABORATES: 各种实体之间的合作
|
||||
edge_definitions["COLLABORATES"] = (
|
||||
EDGE_TYPES["COLLABORATES"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Person", target="Person"),
|
||||
EntityEdgeSourceTarget(source="Company", target="Company"),
|
||||
EntityEdgeSourceTarget(source="Organization", target="Organization"),
|
||||
EntityEdgeSourceTarget(source="Company", target="Organization"),
|
||||
]
|
||||
)
|
||||
|
||||
# COMPETES: 公司之间的竞争
|
||||
edge_definitions["COMPETES"] = (
|
||||
EDGE_TYPES["COMPETES"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Company", target="Company"),
|
||||
]
|
||||
)
|
||||
|
||||
# REPORTS: Media报道相关实体
|
||||
edge_definitions["REPORTS"] = (
|
||||
EDGE_TYPES["REPORTS"],
|
||||
[
|
||||
EntityEdgeSourceTarget(source="Media", target="Person"),
|
||||
EntityEdgeSourceTarget(source="Media", target="Company"),
|
||||
EntityEdgeSourceTarget(source="Media", target="Organization"),
|
||||
EntityEdgeSourceTarget(source="Media", target="Event"),
|
||||
]
|
||||
)
|
||||
|
||||
# 设置本体
|
||||
self.client.graph.set_ontology(
|
||||
graph_ids=[graph_id],
|
||||
entities=ENTITY_TYPES,
|
||||
edges=edge_definitions,
|
||||
)
|
||||
|
||||
def add_text_to_graph(
|
||||
self,
|
||||
graph_id: str,
|
||||
text_chunks: list[str],
|
||||
batch_size: int = 3,
|
||||
progress_callback: Optional[Callable] = None
|
||||
) -> list[str]:
|
||||
"""
|
||||
将文本块分批添加到图谱中
|
||||
|
||||
Args:
|
||||
graph_id: 图谱ID
|
||||
text_chunks: 文本块列表
|
||||
batch_size: 每批发送的块数量
|
||||
progress_callback: 进度回调函数
|
||||
|
||||
Returns:
|
||||
任务ID列表
|
||||
"""
|
||||
task_ids = []
|
||||
total_chunks = len(text_chunks)
|
||||
|
||||
# 分批处理
|
||||
for i in range(0, total_chunks, batch_size):
|
||||
batch_chunks = text_chunks[i:i + batch_size]
|
||||
batch_num = i // batch_size + 1
|
||||
total_batches = (total_chunks + batch_size - 1) // batch_size
|
||||
|
||||
if progress_callback:
|
||||
progress_callback(f"发送第 {batch_num}/{total_batches} 批数据 ({len(batch_chunks)} 块)...")
|
||||
|
||||
# 构建episode数据
|
||||
episodes = [
|
||||
EpisodeData(data=chunk, type="text")
|
||||
for chunk in batch_chunks
|
||||
]
|
||||
|
||||
try:
|
||||
# 批量添加
|
||||
batch_result = self.client.graph.add_batch(
|
||||
graph_id=graph_id,
|
||||
episodes=episodes
|
||||
)
|
||||
|
||||
if batch_result and batch_result[0].task_id:
|
||||
task_ids.append(batch_result[0].task_id)
|
||||
|
||||
# 短暂等待，避免请求过快
|
||||
time.sleep(1)
|
||||
|
||||
except Exception as e:
|
||||
if progress_callback:
|
||||
progress_callback(f"批次 {batch_num} 发送失败: {str(e)}")
|
||||
raise
|
||||
|
||||
return task_ids
|
||||
|
||||
def wait_for_tasks(
|
||||
self,
|
||||
task_ids: list[str],
|
||||
timeout: int = 600,
|
||||
progress_callback: Optional[Callable] = None
|
||||
):
|
||||
"""
|
||||
等待所有任务完成
|
||||
|
||||
Args:
|
||||
task_ids: 任务ID列表
|
||||
timeout: 超时时间（秒）
|
||||
progress_callback: 进度回调
|
||||
"""
|
||||
if not task_ids:
|
||||
return
|
||||
|
||||
start_time = time.time()
|
||||
pending_tasks = set(task_ids)
|
||||
completed_tasks = set()
|
||||
|
||||
while pending_tasks:
|
||||
if time.time() - start_time > timeout:
|
||||
if progress_callback:
|
||||
progress_callback(f"警告: 部分任务超时，已完成 {len(completed_tasks)}/{len(task_ids)}")
|
||||
break
|
||||
|
||||
for task_id in list(pending_tasks):
|
||||
try:
|
||||
task = self.client.task.get(task_id=task_id)
|
||||
|
||||
if task.status == "completed":
|
||||
pending_tasks.remove(task_id)
|
||||
completed_tasks.add(task_id)
|
||||
elif task.status == "failed":
|
||||
pending_tasks.remove(task_id)
|
||||
if progress_callback:
|
||||
progress_callback(f"任务失败: {task.error}")
|
||||
|
||||
except Exception as e:
|
||||
if progress_callback:
|
||||
progress_callback(f"检查任务状态出错: {str(e)}")
|
||||
|
||||
if pending_tasks:
|
||||
if progress_callback:
|
||||
elapsed = int(time.time() - start_time)
|
||||
progress_callback(f"等待处理中... 已完成 {len(completed_tasks)}/{len(task_ids)} ({elapsed}秒)")
|
||||
time.sleep(3)
|
||||
|
||||
if progress_callback:
|
||||
progress_callback(f"所有任务处理完成: {len(completed_tasks)}/{len(task_ids)}")
|
||||
|
||||
def get_graph_data(self, graph_id: str) -> GraphData:
|
||||
"""
|
||||
获取图谱的完整数据
|
||||
|
||||
Args:
|
||||
graph_id: 图谱ID
|
||||
|
||||
Returns:
|
||||
GraphData对象，包含所有节点和边
|
||||
"""
|
||||
# 获取所有节点
|
||||
raw_nodes = self.client.graph.node.get_by_graph_id(graph_id=graph_id)
|
||||
nodes = [
|
||||
GraphNode(
|
||||
uuid=node.uuid_,
|
||||
name=node.name,
|
||||
summary=node.summary or "",
|
||||
labels=node.labels or [],
|
||||
attributes=node.attributes or {}
|
||||
)
|
||||
for node in raw_nodes
|
||||
]
|
||||
|
||||
# 获取所有边
|
||||
raw_edges = self.client.graph.edge.get_by_graph_id(graph_id=graph_id)
|
||||
edges = [
|
||||
GraphEdge(
|
||||
uuid=edge.uuid_,
|
||||
name=edge.name or "",
|
||||
fact=edge.fact or "",
|
||||
source_node_uuid=edge.source_node_uuid,
|
||||
target_node_uuid=edge.target_node_uuid,
|
||||
attributes=edge.attributes or {}
|
||||
)
|
||||
for edge in raw_edges
|
||||
]
|
||||
|
||||
return GraphData(
|
||||
graph_id=graph_id,
|
||||
nodes=nodes,
|
||||
edges=edges
|
||||
)
|
||||
|
||||
def delete_graph(self, graph_id: str):
|
||||
"""删除图谱"""
|
||||
self.client.graph.delete(graph_id=graph_id)
|
||||
|
||||
|
||||
def build_graph_from_text(
|
||||
text: str,
|
||||
graph_name: str = "Knowledge Graph",
|
||||
api_key: Optional[str] = None,
|
||||
chunk_size: int = 2000,
|
||||
progress_callback: Optional[Callable] = None
|
||||
) -> GraphData:
|
||||
"""
|
||||
便捷函数：从文本构建知识图谱
|
||||
|
||||
Args:
|
||||
text: 输入文本
|
||||
graph_name: 图谱名称
|
||||
api_key: Zep API密钥
|
||||
chunk_size: 文本分块大小（默认2000字符）
|
||||
progress_callback: 进度回调
|
||||
|
||||
Returns:
|
||||
GraphData对象
|
||||
"""
|
||||
from text_extractor import split_text_into_chunks
|
||||
|
||||
builder = ZepGraphBuilder(api_key=api_key)
|
||||
|
||||
# 创建图谱
|
||||
graph_id = builder.create_graph(name=graph_name)
|
||||
if progress_callback:
|
||||
progress_callback(f"创建图谱: {graph_id}")
|
||||
|
||||
# 设置本体
|
||||
builder.set_ontology(graph_id)
|
||||
if progress_callback:
|
||||
progress_callback("设置实体类型...")
|
||||
|
||||
# 分块处理文本
|
||||
chunks = split_text_into_chunks(text, max_chunk_size=chunk_size)
|
||||
if progress_callback:
|
||||
progress_callback(f"文本分为 {len(chunks)} 个块")
|
||||
|
||||
# 分批添加到图谱
|
||||
task_ids = builder.add_text_to_graph(
|
||||
graph_id=graph_id,
|
||||
text_chunks=chunks,
|
||||
batch_size=3,
|
||||
progress_callback=progress_callback
|
||||
)
|
||||
|
||||
# 等待所有任务完成
|
||||
if task_ids:
|
||||
builder.wait_for_tasks(task_ids, progress_callback=progress_callback)
|
||||
|
||||
# 获取并返回图数据
|
||||
return builder.get_graph_data(graph_id)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 测试
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
|
||||
test_text = """
|
||||
武汉大学是中国著名的高等学府，位于湖北省武汉市。
|
||||
该校的樱花季每年吸引大量游客。
|
||||
马化腾是腾讯公司的创始人，腾讯总部位于深圳。
|
||||
"""
|
||||
|
||||
result = build_graph_from_text(
|
||||
text=test_text,
|
||||
graph_name="测试图谱",
|
||||
progress_callback=print
|
||||
)
|
||||
|
||||
print(f"\n节点数: {len(result.nodes)}")
|
||||
for node in result.nodes:
|
||||
print(f" - {node.name} ({node.labels})")
|
||||
|
||||
print(f"\n边数: {len(result.edges)}")
|
||||
for edge in result.edges:
|
||||
print(f" - {edge.fact}")
|
||||
File diff suppressed because one or more lines are too long
|
|
@ -1,189 +0,0 @@
|
|||
function neighbourhoodHighlight(params) {
|
||||
// console.log("in nieghbourhoodhighlight");
|
||||
allNodes = nodes.get({ returnType: "Object" });
|
||||
// originalNodes = JSON.parse(JSON.stringify(allNodes));
|
||||
// if something is selected:
|
||||
if (params.nodes.length > 0) {
|
||||
highlightActive = true;
|
||||
var i, j;
|
||||
var selectedNode = params.nodes[0];
|
||||
var degrees = 2;
|
||||
|
||||
// mark all nodes as hard to read.
|
||||
for (let nodeId in allNodes) {
|
||||
// nodeColors[nodeId] = allNodes[nodeId].color;
|
||||
allNodes[nodeId].color = "rgba(200,200,200,0.5)";
|
||||
if (allNodes[nodeId].hiddenLabel === undefined) {
|
||||
allNodes[nodeId].hiddenLabel = allNodes[nodeId].label;
|
||||
allNodes[nodeId].label = undefined;
|
||||
}
|
||||
}
|
||||
var connectedNodes = network.getConnectedNodes(selectedNode);
|
||||
var allConnectedNodes = [];
|
||||
|
||||
// get the second degree nodes
|
||||
for (i = 1; i < degrees; i++) {
|
||||
for (j = 0; j < connectedNodes.length; j++) {
|
||||
allConnectedNodes = allConnectedNodes.concat(
|
||||
network.getConnectedNodes(connectedNodes[j])
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// all second degree nodes get a different color and their label back
|
||||
for (i = 0; i < allConnectedNodes.length; i++) {
|
||||
// allNodes[allConnectedNodes[i]].color = "pink";
|
||||
allNodes[allConnectedNodes[i]].color = "rgba(150,150,150,0.75)";
|
||||
if (allNodes[allConnectedNodes[i]].hiddenLabel !== undefined) {
|
||||
allNodes[allConnectedNodes[i]].label =
|
||||
allNodes[allConnectedNodes[i]].hiddenLabel;
|
||||
allNodes[allConnectedNodes[i]].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
// all first degree nodes get their own color and their label back
|
||||
for (i = 0; i < connectedNodes.length; i++) {
|
||||
// allNodes[connectedNodes[i]].color = undefined;
|
||||
allNodes[connectedNodes[i]].color = nodeColors[connectedNodes[i]];
|
||||
if (allNodes[connectedNodes[i]].hiddenLabel !== undefined) {
|
||||
allNodes[connectedNodes[i]].label =
|
||||
allNodes[connectedNodes[i]].hiddenLabel;
|
||||
allNodes[connectedNodes[i]].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
// the main node gets its own color and its label back.
|
||||
// allNodes[selectedNode].color = undefined;
|
||||
allNodes[selectedNode].color = nodeColors[selectedNode];
|
||||
if (allNodes[selectedNode].hiddenLabel !== undefined) {
|
||||
allNodes[selectedNode].label = allNodes[selectedNode].hiddenLabel;
|
||||
allNodes[selectedNode].hiddenLabel = undefined;
|
||||
}
|
||||
} else if (highlightActive === true) {
|
||||
// console.log("highlightActive was true");
|
||||
// reset all nodes
|
||||
for (let nodeId in allNodes) {
|
||||
// allNodes[nodeId].color = "purple";
|
||||
allNodes[nodeId].color = nodeColors[nodeId];
|
||||
// delete allNodes[nodeId].color;
|
||||
if (allNodes[nodeId].hiddenLabel !== undefined) {
|
||||
allNodes[nodeId].label = allNodes[nodeId].hiddenLabel;
|
||||
allNodes[nodeId].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
highlightActive = false;
|
||||
}
|
||||
|
||||
// transform the object into an array
|
||||
var updateArray = [];
|
||||
if (params.nodes.length > 0) {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
// console.log(allNodes[nodeId]);
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
} else {
|
||||
// console.log("Nothing was selected");
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
// console.log(allNodes[nodeId]);
|
||||
// allNodes[nodeId].color = {};
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
}
|
||||
}
|
||||
|
||||
function filterHighlight(params) {
|
||||
allNodes = nodes.get({ returnType: "Object" });
|
||||
// if something is selected:
|
||||
if (params.nodes.length > 0) {
|
||||
filterActive = true;
|
||||
let selectedNodes = params.nodes;
|
||||
|
||||
// hiding all nodes and saving the label
|
||||
for (let nodeId in allNodes) {
|
||||
allNodes[nodeId].hidden = true;
|
||||
if (allNodes[nodeId].savedLabel === undefined) {
|
||||
allNodes[nodeId].savedLabel = allNodes[nodeId].label;
|
||||
allNodes[nodeId].label = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
for (let i=0; i < selectedNodes.length; i++) {
|
||||
allNodes[selectedNodes[i]].hidden = false;
|
||||
if (allNodes[selectedNodes[i]].savedLabel !== undefined) {
|
||||
allNodes[selectedNodes[i]].label = allNodes[selectedNodes[i]].savedLabel;
|
||||
allNodes[selectedNodes[i]].savedLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
} else if (filterActive === true) {
|
||||
// reset all nodes
|
||||
for (let nodeId in allNodes) {
|
||||
allNodes[nodeId].hidden = false;
|
||||
if (allNodes[nodeId].savedLabel !== undefined) {
|
||||
allNodes[nodeId].label = allNodes[nodeId].savedLabel;
|
||||
allNodes[nodeId].savedLabel = undefined;
|
||||
}
|
||||
}
|
||||
filterActive = false;
|
||||
}
|
||||
|
||||
// transform the object into an array
|
||||
var updateArray = [];
|
||||
if (params.nodes.length > 0) {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
} else {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
}
|
||||
}
|
||||
|
||||
function selectNode(nodes) {
|
||||
network.selectNodes(nodes);
|
||||
neighbourhoodHighlight({ nodes: nodes });
|
||||
return nodes;
|
||||
}
|
||||
|
||||
function selectNodes(nodes) {
|
||||
network.selectNodes(nodes);
|
||||
filterHighlight({nodes: nodes});
|
||||
return nodes;
|
||||
}
|
||||
|
||||
function highlightFilter(filter) {
|
||||
let selectedNodes = []
|
||||
let selectedProp = filter['property']
|
||||
if (filter['item'] === 'node') {
|
||||
let allNodes = nodes.get({ returnType: "Object" });
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes[nodeId][selectedProp] && filter['value'].includes((allNodes[nodeId][selectedProp]).toString())) {
|
||||
selectedNodes.push(nodeId)
|
||||
}
|
||||
}
|
||||
}
|
||||
else if (filter['item'] === 'edge'){
|
||||
let allEdges = edges.get({returnType: 'object'});
|
||||
// check if the selected property exists for selected edge and select the nodes connected to the edge
|
||||
for (let edge in allEdges) {
|
||||
if (allEdges[edge][selectedProp] && filter['value'].includes((allEdges[edge][selectedProp]).toString())) {
|
||||
selectedNodes.push(allEdges[edge]['from'])
|
||||
selectedNodes.push(allEdges[edge]['to'])
|
||||
}
|
||||
}
|
||||
}
|
||||
selectNodes(selectedNodes)
|
||||
}
|
||||
356
txt2graph/lib/tom-select/tom-select.complete.min.js
vendored
356
txt2graph/lib/tom-select/tom-select.complete.min.js
vendored
|
|
@ -1,356 +0,0 @@
|
|||
/**
|
||||
* Tom Select v2.0.0-rc.4
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
*/
|
||||
!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).TomSelect=t()}(this,(function(){"use strict"
|
||||
function e(e,t){e.split(/\s+/).forEach((e=>{t(e)}))}class t{constructor(){this._events={}}on(t,i){e(t,(e=>{this._events[e]=this._events[e]||[],this._events[e].push(i)}))}off(t,i){var s=arguments.length
|
||||
0!==s?e(t,(e=>{if(1===s)return delete this._events[e]
|
||||
e in this._events!=!1&&this._events[e].splice(this._events[e].indexOf(i),1)})):this._events={}}trigger(t,...i){var s=this
|
||||
e(t,(e=>{if(e in s._events!=!1)for(let t of s._events[e])t.apply(s,i)}))}}var i
|
||||
const s="[̀-ͯ·ʾ]",n=new RegExp(s,"g")
|
||||
var o
|
||||
const r={"æ":"ae","ⱥ":"a","ø":"o"},l=new RegExp(Object.keys(r).join("|"),"g"),a=[[67,67],[160,160],[192,438],[452,652],[961,961],[1019,1019],[1083,1083],[1281,1289],[1984,1984],[5095,5095],[7429,7441],[7545,7549],[7680,7935],[8580,8580],[9398,9449],[11360,11391],[42792,42793],[42802,42851],[42873,42897],[42912,42922],[64256,64260],[65313,65338],[65345,65370]],c=e=>e.normalize("NFKD").replace(n,"").toLowerCase().replace(l,(function(e){return r[e]})),d=(e,t="|")=>{if(1==e.length)return e[0]
|
||||
var i=1
|
||||
return e.forEach((e=>{i=Math.max(i,e.length)})),1==i?"["+e.join("")+"]":"(?:"+e.join(t)+")"},p=e=>{if(1===e.length)return[[e]]
|
||||
var t=[]
|
||||
return p(e.substring(1)).forEach((function(i){var s=i.slice(0)
|
||||
s[0]=e.charAt(0)+s[0],t.push(s),(s=i.slice(0)).unshift(e.charAt(0)),t.push(s)})),t},u=e=>{void 0===o&&(o=(()=>{var e={}
|
||||
a.forEach((t=>{for(let s=t[0];s<=t[1];s++){let t=String.fromCharCode(s),n=c(t)
|
||||
if(n!=t.toLowerCase()){n in e||(e[n]=[n])
|
||||
var i=new RegExp(d(e[n]),"iu")
|
||||
t.match(i)||e[n].push(t)}}}))
|
||||
var t=Object.keys(e)
|
||||
t=t.sort(((e,t)=>t.length-e.length)),i=new RegExp("("+d(t)+"[̀-ͯ·ʾ]*)","g")
|
||||
var s={}
|
||||
return t.sort(((e,t)=>e.length-t.length)).forEach((t=>{var i=p(t).map((t=>(t=t.map((t=>e.hasOwnProperty(t)?d(e[t]):t)),d(t,""))))
|
||||
s[t]=d(i)})),s})())
|
||||
return e.normalize("NFKD").toLowerCase().split(i).map((e=>{if(""==e)return""
|
||||
const t=c(e)
|
||||
if(o.hasOwnProperty(t))return o[t]
|
||||
const i=e.normalize("NFC")
|
||||
return i!=e?d([e,i]):e})).join("")},h=(e,t)=>{if(e)return e[t]},g=(e,t)=>{if(e){for(var i,s=t.split(".");(i=s.shift())&&(e=e[i]););return e}},f=(e,t,i)=>{var s,n
|
||||
return e?-1===(n=(e+="").search(t.regex))?0:(s=t.string.length/e.length,0===n&&(s+=.5),s*i):0},v=e=>(e+"").replace(/([\$\(-\+\.\?\[-\^\{-\}])/g,"\\$1"),m=(e,t)=>{var i=e[t]
|
||||
if("function"==typeof i)return i
|
||||
i&&!Array.isArray(i)&&(e[t]=[i])},y=(e,t)=>{if(Array.isArray(e))e.forEach(t)
|
||||
else for(var i in e)e.hasOwnProperty(i)&&t(e[i],i)},O=(e,t)=>"number"==typeof e&&"number"==typeof t?e>t?1:e<t?-1:0:(e=c(e+"").toLowerCase())>(t=c(t+"").toLowerCase())?1:t>e?-1:0
|
||||
class b{constructor(e,t){this.items=e,this.settings=t||{diacritics:!0}}tokenize(e,t,i){if(!e||!e.length)return[]
|
||||
const s=[],n=e.split(/\s+/)
|
||||
var o
|
||||
return i&&(o=new RegExp("^("+Object.keys(i).map(v).join("|")+"):(.*)$")),n.forEach((e=>{let i,n=null,r=null
|
||||
o&&(i=e.match(o))&&(n=i[1],e=i[2]),e.length>0&&(r=v(e),this.settings.diacritics&&(r=u(r)),t&&(r="\\b"+r)),s.push({string:e,regex:r?new RegExp(r,"iu"):null,field:n})})),s}getScoreFunction(e,t){var i=this.prepareSearch(e,t)
|
||||
return this._getScoreFunction(i)}_getScoreFunction(e){const t=e.tokens,i=t.length
|
||||
if(!i)return function(){return 0}
|
||||
const s=e.options.fields,n=e.weights,o=s.length,r=e.getAttrFn
|
||||
if(!o)return function(){return 1}
|
||||
const l=1===o?function(e,t){const i=s[0].field
|
||||
return f(r(t,i),e,n[i])}:function(e,t){var i=0
|
||||
if(e.field){const s=r(t,e.field)
|
||||
!e.regex&&s?i+=1/o:i+=f(s,e,1)}else y(n,((s,n)=>{i+=f(r(t,n),e,s)}))
|
||||
return i/o}
|
||||
return 1===i?function(e){return l(t[0],e)}:"and"===e.options.conjunction?function(e){for(var s,n=0,o=0;n<i;n++){if((s=l(t[n],e))<=0)return 0
|
||||
o+=s}return o/i}:function(e){var s=0
|
||||
return y(t,(t=>{s+=l(t,e)})),s/i}}getSortFunction(e,t){var i=this.prepareSearch(e,t)
|
||||
return this._getSortFunction(i)}_getSortFunction(e){var t,i,s
|
||||
const n=this,o=e.options,r=!e.query&&o.sort_empty?o.sort_empty:o.sort,l=[],a=[]
|
||||
if("function"==typeof r)return r.bind(this)
|
||||
const c=function(t,i){return"$score"===t?i.score:e.getAttrFn(n.items[i.id],t)}
|
||||
if(r)for(t=0,i=r.length;t<i;t++)(e.query||"$score"!==r[t].field)&&l.push(r[t])
|
||||
if(e.query){for(s=!0,t=0,i=l.length;t<i;t++)if("$score"===l[t].field){s=!1
|
||||
break}s&&l.unshift({field:"$score",direction:"desc"})}else for(t=0,i=l.length;t<i;t++)if("$score"===l[t].field){l.splice(t,1)
|
||||
break}for(t=0,i=l.length;t<i;t++)a.push("desc"===l[t].direction?-1:1)
|
||||
const d=l.length
|
||||
if(d){if(1===d){const e=l[0].field,t=a[0]
|
||||
return function(i,s){return t*O(c(e,i),c(e,s))}}return function(e,t){var i,s,n
|
||||
for(i=0;i<d;i++)if(n=l[i].field,s=a[i]*O(c(n,e),c(n,t)))return s
|
||||
return 0}}return null}prepareSearch(e,t){const i={}
|
||||
var s=Object.assign({},t)
|
||||
if(m(s,"sort"),m(s,"sort_empty"),s.fields){m(s,"fields")
|
||||
const e=[]
|
||||
s.fields.forEach((t=>{"string"==typeof t&&(t={field:t,weight:1}),e.push(t),i[t.field]="weight"in t?t.weight:1})),s.fields=e}return{options:s,query:e.toLowerCase().trim(),tokens:this.tokenize(e,s.respect_word_boundaries,i),total:0,items:[],weights:i,getAttrFn:s.nesting?g:h}}search(e,t){var i,s,n=this
|
||||
s=this.prepareSearch(e,t),t=s.options,e=s.query
|
||||
const o=t.score||n._getScoreFunction(s)
|
||||
e.length?y(n.items,((e,n)=>{i=o(e),(!1===t.filter||i>0)&&s.items.push({score:i,id:n})})):y(n.items,((e,t)=>{s.items.push({score:1,id:t})}))
|
||||
const r=n._getSortFunction(s)
|
||||
return r&&s.items.sort(r),s.total=s.items.length,"number"==typeof t.limit&&(s.items=s.items.slice(0,t.limit)),s}}const w=e=>{if(e.jquery)return e[0]
|
||||
if(e instanceof HTMLElement)return e
|
||||
if(e.indexOf("<")>-1){let t=document.createElement("div")
|
||||
return t.innerHTML=e.trim(),t.firstChild}return document.querySelector(e)},_=(e,t)=>{var i=document.createEvent("HTMLEvents")
|
||||
i.initEvent(t,!0,!1),e.dispatchEvent(i)},I=(e,t)=>{Object.assign(e.style,t)},C=(e,...t)=>{var i=A(t);(e=x(e)).map((e=>{i.map((t=>{e.classList.add(t)}))}))},S=(e,...t)=>{var i=A(t);(e=x(e)).map((e=>{i.map((t=>{e.classList.remove(t)}))}))},A=e=>{var t=[]
|
||||
return y(e,(e=>{"string"==typeof e&&(e=e.trim().split(/[\11\12\14\15\40]/)),Array.isArray(e)&&(t=t.concat(e))})),t.filter(Boolean)},x=e=>(Array.isArray(e)||(e=[e]),e),k=(e,t,i)=>{if(!i||i.contains(e))for(;e&&e.matches;){if(e.matches(t))return e
|
||||
e=e.parentNode}},F=(e,t=0)=>t>0?e[e.length-1]:e[0],L=(e,t)=>{if(!e)return-1
|
||||
t=t||e.nodeName
|
||||
for(var i=0;e=e.previousElementSibling;)e.matches(t)&&i++
|
||||
return i},P=(e,t)=>{y(t,((t,i)=>{null==t?e.removeAttribute(i):e.setAttribute(i,""+t)}))},E=(e,t)=>{e.parentNode&&e.parentNode.replaceChild(t,e)},T=(e,t)=>{if(null===t)return
|
||||
if("string"==typeof t){if(!t.length)return
|
||||
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||||
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||||
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class J extends(function(e){return e.plugins={},class extends e{constructor(...e){super(...e),this.plugins={names:[],settings:{},requested:{},loaded:{}}}static define(t,i){e.plugins[t]={name:t,fn:i}}initializePlugins(e){var t,i
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const s=this,n=[]
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s.requested[t]=!0,s.loaded[t]=n.fn.apply(i,[i.plugins.settings[t]||{}]),s.names.push(t)}require(e){var t=this,i=t.plugins
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t.loadPlugin(e)}return i.loaded[e]}}}(t)){constructor(e,t){var i
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super(),this.order=0,this.isOpen=!1,this.isDisabled=!1,this.isInvalid=!1,this.isValid=!0,this.isLocked=!1,this.isFocused=!1,this.isInputHidden=!1,this.isSetup=!1,this.ignoreFocus=!1,this.hasOptions=!1,this.lastValue="",this.caretPos=0,this.loading=0,this.loadedSearches={},this.activeOption=null,this.activeItems=[],this.optgroups={},this.options={},this.userOptions={},this.items=[],W++
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var s=w(e)
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const n=U(s,t)
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||||
var o=n.createFilter
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||||
const r=w("<div>"),l=w("<div>"),a=this._render("dropdown"),c=w('<div role="listbox" tabindex="-1">'),d=this.input.getAttribute("class")||"",p=n.mode
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var u
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||||
y(["autocorrect","autocapitalize","autocomplete"],(e=>{s.getAttribute(e)&&P(u,{[e]:s.getAttribute(e)})})),u.tabIndex=-1,l.appendChild(u),this.focus_node=u}this.wrapper=r,this.dropdown=a,this.dropdown_content=c,this.control=l,this.control_input=u,this.setup()}setup(){const e=this,t=e.settings,i=e.control_input,s=e.dropdown,n=e.dropdown_content,o=e.wrapper,r=e.control,l=e.input,a=e.focus_node,c={passive:!0},d=e.inputId+"-ts-dropdown"
|
||||
P(n,{id:d}),P(a,{role:"combobox","aria-haspopup":"listbox","aria-expanded":"false","aria-controls":d})
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||||
const p=M(a,e.inputId+"-ts-control"),u="label[for='"+(e=>e.replace(/['"\\]/g,"\\$&"))(e.inputId)+"']",h=document.querySelector(u),g=e.focus.bind(e)
|
||||
if(h){B(h,"click",g),P(h,{for:p})
|
||||
const t=M(h,e.inputId+"-ts-label")
|
||||
P(a,{"aria-labelledby":t}),P(n,{"aria-labelledby":t})}if(o.style.width=l.style.width,e.plugins.names.length){const t="plugin-"+e.plugins.names.join(" plugin-")
|
||||
C([o,s],t)}(null===t.maxItems||t.maxItems>1)&&e.is_select_tag&&P(l,{multiple:"multiple"}),e.settings.placeholder&&P(i,{placeholder:t.placeholder}),!e.settings.splitOn&&e.settings.delimiter&&(e.settings.splitOn=new RegExp("\\s*"+v(e.settings.delimiter)+"+\\s*")),t.load&&t.loadThrottle&&(t.load=z(t.load,t.loadThrottle)),e.control_input.type=l.type,B(s,"click",(t=>{const i=k(t.target,"[data-selectable]")
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||||
i&&(e.onOptionSelect(t,i),H(t,!0))})),B(r,"click",(t=>{var s=k(t.target,"[data-ts-item]",r)
|
||||
s&&e.onItemSelect(t,s)?H(t,!0):""==i.value&&(e.onClick(),H(t,!0))})),B(i,"mousedown",(e=>{""!==i.value&&e.stopPropagation()})),B(a,"keydown",(t=>e.onKeyDown(t))),B(i,"keypress",(t=>e.onKeyPress(t))),B(i,"input",(t=>e.onInput(t))),B(a,"resize",(()=>e.positionDropdown()),c),B(a,"blur",(t=>e.onBlur(t))),B(a,"focus",(t=>e.onFocus(t))),B(a,"paste",(t=>e.onPaste(t)))
|
||||
const f=t=>{const i=t.composedPath()[0]
|
||||
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|
||||
H(t,!0)}
|
||||
var m=()=>{e.isOpen&&e.positionDropdown()}
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||||
B(document,"mousedown",f),B(window,"scroll",m,c),B(window,"resize",m,c),this._destroy=()=>{document.removeEventListener("mousedown",f),window.removeEventListener("sroll",m),window.removeEventListener("resize",m),h&&h.removeEventListener("click",g)},this.revertSettings={innerHTML:l.innerHTML,tabIndex:l.tabIndex},l.tabIndex=-1,l.insertAdjacentElement("afterend",e.wrapper),e.sync(!1),t.items=[],delete t.optgroups,delete t.options,B(l,"invalid",(t=>{e.isValid&&(e.isValid=!1,e.isInvalid=!0,e.refreshState())})),e.updateOriginalInput(),e.refreshItems(),e.close(!1),e.inputState(),e.isSetup=!0,l.disabled?e.disable():e.enable(),e.on("change",this.onChange),C(l,"tomselected","ts-hidden-accessible"),e.trigger("initialize"),!0===t.preload&&e.preload()}setupOptions(e=[],t=[]){this.addOptions(e),y(t,(e=>{this.registerOptionGroup(e)}))}setupTemplates(){var e=this,t=e.settings.labelField,i=e.settings.optgroupLabelField,s={optgroup:e=>{let t=document.createElement("div")
|
||||
return t.className="optgroup",t.appendChild(e.options),t},optgroup_header:(e,t)=>'<div class="optgroup-header">'+t(e[i])+"</div>",option:(e,i)=>"<div>"+i(e[t])+"</div>",item:(e,i)=>"<div>"+i(e[t])+"</div>",option_create:(e,t)=>'<div class="create">Add <strong>'+t(e.input)+"</strong>…</div>",no_results:()=>'<div class="no-results">No results found</div>',loading:()=>'<div class="spinner"></div>',not_loading:()=>{},dropdown:()=>"<div></div>"}
|
||||
e.settings.render=Object.assign({},s,e.settings.render)}setupCallbacks(){var e,t,i={initialize:"onInitialize",change:"onChange",item_add:"onItemAdd",item_remove:"onItemRemove",item_select:"onItemSelect",clear:"onClear",option_add:"onOptionAdd",option_remove:"onOptionRemove",option_clear:"onOptionClear",optgroup_add:"onOptionGroupAdd",optgroup_remove:"onOptionGroupRemove",optgroup_clear:"onOptionGroupClear",dropdown_open:"onDropdownOpen",dropdown_close:"onDropdownClose",type:"onType",load:"onLoad",focus:"onFocus",blur:"onBlur"}
|
||||
for(e in i)(t=this.settings[i[e]])&&this.on(e,t)}sync(e=!0){const t=this,i=e?U(t.input,{delimiter:t.settings.delimiter}):t.settings
|
||||
t.setupOptions(i.options,i.optgroups),t.setValue(i.items,!0),t.lastQuery=null}onClick(){var e=this
|
||||
if(e.activeItems.length>0)return e.clearActiveItems(),void e.focus()
|
||||
e.isFocused&&e.isOpen?e.blur():e.focus()}onMouseDown(){}onChange(){_(this.input,"input"),_(this.input,"change")}onPaste(e){var t=this
|
||||
t.isFull()||t.isInputHidden||t.isLocked?H(e):t.settings.splitOn&&setTimeout((()=>{var e=t.inputValue()
|
||||
if(e.match(t.settings.splitOn)){var i=e.trim().split(t.settings.splitOn)
|
||||
y(i,(e=>{t.createItem(e)}))}}),0)}onKeyPress(e){var t=this
|
||||
if(!t.isLocked){var i=String.fromCharCode(e.keyCode||e.which)
|
||||
return t.settings.create&&"multi"===t.settings.mode&&i===t.settings.delimiter?(t.createItem(),void H(e)):void 0}H(e)}onKeyDown(e){var t=this
|
||||
if(t.isLocked)9!==e.keyCode&&H(e)
|
||||
else{switch(e.keyCode){case 65:if(K(V,e))return H(e),void t.selectAll()
|
||||
break
|
||||
case 27:return t.isOpen&&(H(e,!0),t.close()),void t.clearActiveItems()
|
||||
case 40:if(!t.isOpen&&t.hasOptions)t.open()
|
||||
else if(t.activeOption){let e=t.getAdjacent(t.activeOption,1)
|
||||
e&&t.setActiveOption(e)}return void H(e)
|
||||
case 38:if(t.activeOption){let e=t.getAdjacent(t.activeOption,-1)
|
||||
e&&t.setActiveOption(e)}return void H(e)
|
||||
case 13:return void(t.isOpen&&t.activeOption?(t.onOptionSelect(e,t.activeOption),H(e)):t.settings.create&&t.createItem()&&H(e))
|
||||
case 37:return void t.advanceSelection(-1,e)
|
||||
case 39:return void t.advanceSelection(1,e)
|
||||
case 9:return void(t.settings.selectOnTab&&(t.isOpen&&t.activeOption&&(t.onOptionSelect(e,t.activeOption),H(e)),t.settings.create&&t.createItem()&&H(e)))
|
||||
case 8:case 46:return void t.deleteSelection(e)}t.isInputHidden&&!K(V,e)&&H(e)}}onInput(e){var t=this
|
||||
if(!t.isLocked){var i=t.inputValue()
|
||||
t.lastValue!==i&&(t.lastValue=i,t.settings.shouldLoad.call(t,i)&&t.load(i),t.refreshOptions(),t.trigger("type",i))}}onFocus(e){var t=this,i=t.isFocused
|
||||
if(t.isDisabled)return t.blur(),void H(e)
|
||||
t.ignoreFocus||(t.isFocused=!0,"focus"===t.settings.preload&&t.preload(),i||t.trigger("focus"),t.activeItems.length||(t.showInput(),t.refreshOptions(!!t.settings.openOnFocus)),t.refreshState())}onBlur(e){if(!1!==document.hasFocus()){var t=this
|
||||
if(t.isFocused){t.isFocused=!1,t.ignoreFocus=!1
|
||||
var i=()=>{t.close(),t.setActiveItem(),t.setCaret(t.items.length),t.trigger("blur")}
|
||||
t.settings.create&&t.settings.createOnBlur?t.createItem(null,!1,i):i()}}}onOptionSelect(e,t){var i,s=this
|
||||
t&&(t.parentElement&&t.parentElement.matches("[data-disabled]")||(t.classList.contains("create")?s.createItem(null,!0,(()=>{s.settings.closeAfterSelect&&s.close()})):void 0!==(i=t.dataset.value)&&(s.lastQuery=null,s.addItem(i),s.settings.closeAfterSelect&&s.close(),!s.settings.hideSelected&&e.type&&/click/.test(e.type)&&s.setActiveOption(t))))}onItemSelect(e,t){var i=this
|
||||
return!i.isLocked&&"multi"===i.settings.mode&&(H(e),i.setActiveItem(t,e),!0)}canLoad(e){return!!this.settings.load&&!this.loadedSearches.hasOwnProperty(e)}load(e){const t=this
|
||||
if(!t.canLoad(e))return
|
||||
C(t.wrapper,t.settings.loadingClass),t.loading++
|
||||
const i=t.loadCallback.bind(t)
|
||||
t.settings.load.call(t,e,i)}loadCallback(e,t){const i=this
|
||||
i.loading=Math.max(i.loading-1,0),i.lastQuery=null,i.clearActiveOption(),i.setupOptions(e,t),i.refreshOptions(i.isFocused&&!i.isInputHidden),i.loading||S(i.wrapper,i.settings.loadingClass),i.trigger("load",e,t)}preload(){var e=this.wrapper.classList
|
||||
e.contains("preloaded")||(e.add("preloaded"),this.load(""))}setTextboxValue(e=""){var t=this.control_input
|
||||
t.value!==e&&(t.value=e,_(t,"update"),this.lastValue=e)}getValue(){return this.is_select_tag&&this.input.hasAttribute("multiple")?this.items:this.items.join(this.settings.delimiter)}setValue(e,t){R(this,t?[]:["change"],(()=>{this.clear(t),this.addItems(e,t)}))}setMaxItems(e){0===e&&(e=null),this.settings.maxItems=e,this.refreshState()}setActiveItem(e,t){var i,s,n,o,r,l,a=this
|
||||
if("single"!==a.settings.mode){if(!e)return a.clearActiveItems(),void(a.isFocused&&a.showInput())
|
||||
if("click"===(i=t&&t.type.toLowerCase())&&K("shiftKey",t)&&a.activeItems.length){for(l=a.getLastActive(),(n=Array.prototype.indexOf.call(a.control.children,l))>(o=Array.prototype.indexOf.call(a.control.children,e))&&(r=n,n=o,o=r),s=n;s<=o;s++)e=a.control.children[s],-1===a.activeItems.indexOf(e)&&a.setActiveItemClass(e)
|
||||
H(t)}else"click"===i&&K(V,t)||"keydown"===i&&K("shiftKey",t)?e.classList.contains("active")?a.removeActiveItem(e):a.setActiveItemClass(e):(a.clearActiveItems(),a.setActiveItemClass(e))
|
||||
a.hideInput(),a.isFocused||a.focus()}}setActiveItemClass(e){const t=this,i=t.control.querySelector(".last-active")
|
||||
i&&S(i,"last-active"),C(e,"active last-active"),t.trigger("item_select",e),-1==t.activeItems.indexOf(e)&&t.activeItems.push(e)}removeActiveItem(e){var t=this.activeItems.indexOf(e)
|
||||
this.activeItems.splice(t,1),S(e,"active")}clearActiveItems(){S(this.activeItems,"active"),this.activeItems=[]}setActiveOption(e){e!==this.activeOption&&(this.clearActiveOption(),e&&(this.activeOption=e,P(this.focus_node,{"aria-activedescendant":e.getAttribute("id")}),P(e,{"aria-selected":"true"}),C(e,"active"),this.scrollToOption(e)))}scrollToOption(e,t){if(!e)return
|
||||
const i=this.dropdown_content,s=i.clientHeight,n=i.scrollTop||0,o=e.offsetHeight,r=e.getBoundingClientRect().top-i.getBoundingClientRect().top+n
|
||||
r+o>s+n?this.scroll(r-s+o,t):r<n&&this.scroll(r,t)}scroll(e,t){const i=this.dropdown_content
|
||||
t&&(i.style.scrollBehavior=t),i.scrollTop=e,i.style.scrollBehavior=""}clearActiveOption(){this.activeOption&&(S(this.activeOption,"active"),P(this.activeOption,{"aria-selected":null})),this.activeOption=null,P(this.focus_node,{"aria-activedescendant":null})}selectAll(){if("single"===this.settings.mode)return
|
||||
const e=this.controlChildren()
|
||||
e.length&&(this.hideInput(),this.close(),this.activeItems=e,C(e,"active"))}inputState(){var e=this
|
||||
e.control.contains(e.control_input)&&(P(e.control_input,{placeholder:e.settings.placeholder}),e.activeItems.length>0||!e.isFocused&&e.settings.hidePlaceholder&&e.items.length>0?(e.setTextboxValue(),e.isInputHidden=!0):(e.settings.hidePlaceholder&&e.items.length>0&&P(e.control_input,{placeholder:""}),e.isInputHidden=!1),e.wrapper.classList.toggle("input-hidden",e.isInputHidden))}hideInput(){this.inputState()}showInput(){this.inputState()}inputValue(){return this.control_input.value.trim()}focus(){var e=this
|
||||
e.isDisabled||(e.ignoreFocus=!0,e.control_input.offsetWidth?e.control_input.focus():e.focus_node.focus(),setTimeout((()=>{e.ignoreFocus=!1,e.onFocus()}),0))}blur(){this.focus_node.blur(),this.onBlur()}getScoreFunction(e){return this.sifter.getScoreFunction(e,this.getSearchOptions())}getSearchOptions(){var e=this.settings,t=e.sortField
|
||||
return"string"==typeof e.sortField&&(t=[{field:e.sortField}]),{fields:e.searchField,conjunction:e.searchConjunction,sort:t,nesting:e.nesting}}search(e){var t,i,s,n=this,o=this.getSearchOptions()
|
||||
if(n.settings.score&&"function"!=typeof(s=n.settings.score.call(n,e)))throw new Error('Tom Select "score" setting must be a function that returns a function')
|
||||
if(e!==n.lastQuery?(n.lastQuery=e,i=n.sifter.search(e,Object.assign(o,{score:s})),n.currentResults=i):i=Object.assign({},n.currentResults),n.settings.hideSelected)for(t=i.items.length-1;t>=0;t--){let e=q(i.items[t].id)
|
||||
e&&-1!==n.items.indexOf(e)&&i.items.splice(t,1)}return i}refreshOptions(e=!0){var t,i,s,n,o,r,l,a,c,d,p
|
||||
const u={},h=[]
|
||||
var g,f=this,v=f.inputValue(),m=f.search(v),O=f.activeOption,b=f.settings.shouldOpen||!1,w=f.dropdown_content
|
||||
for(O&&(c=O.dataset.value,d=O.closest("[data-group]")),n=m.items.length,"number"==typeof f.settings.maxOptions&&(n=Math.min(n,f.settings.maxOptions)),n>0&&(b=!0),t=0;t<n;t++){let e=m.items[t].id,n=f.options[e],l=f.getOption(e,!0)
|
||||
for(f.settings.hideSelected||l.classList.toggle("selected",f.items.includes(e)),o=n[f.settings.optgroupField]||"",i=0,s=(r=Array.isArray(o)?o:[o])&&r.length;i<s;i++)o=r[i],f.optgroups.hasOwnProperty(o)||(o=""),u.hasOwnProperty(o)||(u[o]=document.createDocumentFragment(),h.push(o)),i>0&&(l=l.cloneNode(!0),P(l,{id:n.$id+"-clone-"+i,"aria-selected":null}),l.classList.add("ts-cloned"),S(l,"active")),c==e&&d&&d.dataset.group===o&&(O=l),u[o].appendChild(l)}this.settings.lockOptgroupOrder&&h.sort(((e,t)=>(f.optgroups[e]&&f.optgroups[e].$order||0)-(f.optgroups[t]&&f.optgroups[t].$order||0))),l=document.createDocumentFragment(),y(h,(e=>{if(f.optgroups.hasOwnProperty(e)&&u[e].children.length){let t=document.createDocumentFragment(),i=f.render("optgroup_header",f.optgroups[e])
|
||||
G(t,i),G(t,u[e])
|
||||
let s=f.render("optgroup",{group:f.optgroups[e],options:t})
|
||||
G(l,s)}else G(l,u[e])})),w.innerHTML="",G(w,l),f.settings.highlight&&(g=w.querySelectorAll("span.highlight"),Array.prototype.forEach.call(g,(function(e){var t=e.parentNode
|
||||
t.replaceChild(e.firstChild,e),t.normalize()})),m.query.length&&m.tokens.length&&y(m.tokens,(e=>{T(w,e.regex)})))
|
||||
var _=e=>{let t=f.render(e,{input:v})
|
||||
return t&&(b=!0,w.insertBefore(t,w.firstChild)),t}
|
||||
if(f.loading?_("loading"):f.settings.shouldLoad.call(f,v)?0===m.items.length&&_("no_results"):_("not_loading"),(a=f.canCreate(v))&&(p=_("option_create")),f.hasOptions=m.items.length>0||a,b){if(m.items.length>0){if(!w.contains(O)&&"single"===f.settings.mode&&f.items.length&&(O=f.getOption(f.items[0])),!w.contains(O)){let e=0
|
||||
p&&!f.settings.addPrecedence&&(e=1),O=f.selectable()[e]}}else p&&(O=p)
|
||||
e&&!f.isOpen&&(f.open(),f.scrollToOption(O,"auto")),f.setActiveOption(O)}else f.clearActiveOption(),e&&f.isOpen&&f.close(!1)}selectable(){return this.dropdown_content.querySelectorAll("[data-selectable]")}addOption(e,t=!1){const i=this
|
||||
if(Array.isArray(e))return i.addOptions(e,t),!1
|
||||
const s=q(e[i.settings.valueField])
|
||||
return null!==s&&!i.options.hasOwnProperty(s)&&(e.$order=e.$order||++i.order,e.$id=i.inputId+"-opt-"+e.$order,i.options[s]=e,i.lastQuery=null,t&&(i.userOptions[s]=t,i.trigger("option_add",s,e)),s)}addOptions(e,t=!1){y(e,(e=>{this.addOption(e,t)}))}registerOption(e){return this.addOption(e)}registerOptionGroup(e){var t=q(e[this.settings.optgroupValueField])
|
||||
return null!==t&&(e.$order=e.$order||++this.order,this.optgroups[t]=e,t)}addOptionGroup(e,t){var i
|
||||
t[this.settings.optgroupValueField]=e,(i=this.registerOptionGroup(t))&&this.trigger("optgroup_add",i,t)}removeOptionGroup(e){this.optgroups.hasOwnProperty(e)&&(delete this.optgroups[e],this.clearCache(),this.trigger("optgroup_remove",e))}clearOptionGroups(){this.optgroups={},this.clearCache(),this.trigger("optgroup_clear")}updateOption(e,t){const i=this
|
||||
var s,n
|
||||
const o=q(e),r=q(t[i.settings.valueField])
|
||||
if(null===o)return
|
||||
if(!i.options.hasOwnProperty(o))return
|
||||
if("string"!=typeof r)throw new Error("Value must be set in option data")
|
||||
const l=i.getOption(o),a=i.getItem(o)
|
||||
if(t.$order=t.$order||i.options[o].$order,delete i.options[o],i.uncacheValue(r),i.options[r]=t,l){if(i.dropdown_content.contains(l)){const e=i._render("option",t)
|
||||
E(l,e),i.activeOption===l&&i.setActiveOption(e)}l.remove()}a&&(-1!==(n=i.items.indexOf(o))&&i.items.splice(n,1,r),s=i._render("item",t),a.classList.contains("active")&&C(s,"active"),E(a,s)),i.lastQuery=null}removeOption(e,t){const i=this
|
||||
e=D(e),i.uncacheValue(e),delete i.userOptions[e],delete i.options[e],i.lastQuery=null,i.trigger("option_remove",e),i.removeItem(e,t)}clearOptions(){this.loadedSearches={},this.userOptions={},this.clearCache()
|
||||
var e={}
|
||||
y(this.options,((t,i)=>{this.items.indexOf(i)>=0&&(e[i]=this.options[i])})),this.options=this.sifter.items=e,this.lastQuery=null,this.trigger("option_clear")}getOption(e,t=!1){const i=q(e)
|
||||
if(null!==i&&this.options.hasOwnProperty(i)){const e=this.options[i]
|
||||
if(e.$div)return e.$div
|
||||
if(t)return this._render("option",e)}return null}getAdjacent(e,t,i="option"){var s
|
||||
if(!e)return null
|
||||
s="item"==i?this.controlChildren():this.dropdown_content.querySelectorAll("[data-selectable]")
|
||||
for(let i=0;i<s.length;i++)if(s[i]==e)return t>0?s[i+1]:s[i-1]
|
||||
return null}getItem(e){if("object"==typeof e)return e
|
||||
var t=q(e)
|
||||
return null!==t?this.control.querySelector(`[data-value="${Q(t)}"]`):null}addItems(e,t){var i=this,s=Array.isArray(e)?e:[e]
|
||||
for(let e=0,n=(s=s.filter((e=>-1===i.items.indexOf(e)))).length;e<n;e++)i.isPending=e<n-1,i.addItem(s[e],t)}addItem(e,t){R(this,t?[]:["change"],(()=>{var i,s
|
||||
const n=this,o=n.settings.mode,r=q(e)
|
||||
if((!r||-1===n.items.indexOf(r)||("single"===o&&n.close(),"single"!==o&&n.settings.duplicates))&&null!==r&&n.options.hasOwnProperty(r)&&("single"===o&&n.clear(t),"multi"!==o||!n.isFull())){if(i=n._render("item",n.options[r]),n.control.contains(i)&&(i=i.cloneNode(!0)),s=n.isFull(),n.items.splice(n.caretPos,0,r),n.insertAtCaret(i),n.isSetup){if(!n.isPending&&n.settings.hideSelected){let e=n.getOption(r),t=n.getAdjacent(e,1)
|
||||
t&&n.setActiveOption(t)}n.isPending||n.refreshOptions(n.isFocused&&"single"!==o),0!=n.settings.closeAfterSelect&&n.isFull()?n.close():n.isPending||n.positionDropdown(),n.trigger("item_add",r,i),n.isPending||n.updateOriginalInput({silent:t})}(!n.isPending||!s&&n.isFull())&&(n.inputState(),n.refreshState())}}))}removeItem(e=null,t){const i=this
|
||||
if(!(e=i.getItem(e)))return
|
||||
var s,n
|
||||
const o=e.dataset.value
|
||||
s=L(e),e.remove(),e.classList.contains("active")&&(n=i.activeItems.indexOf(e),i.activeItems.splice(n,1),S(e,"active")),i.items.splice(s,1),i.lastQuery=null,!i.settings.persist&&i.userOptions.hasOwnProperty(o)&&i.removeOption(o,t),s<i.caretPos&&i.setCaret(i.caretPos-1),i.updateOriginalInput({silent:t}),i.refreshState(),i.positionDropdown(),i.trigger("item_remove",o,e)}createItem(e=null,t=!0,i=(()=>{})){var s,n=this,o=n.caretPos
|
||||
if(e=e||n.inputValue(),!n.canCreate(e))return i(),!1
|
||||
n.lock()
|
||||
var r=!1,l=e=>{if(n.unlock(),!e||"object"!=typeof e)return i()
|
||||
var s=q(e[n.settings.valueField])
|
||||
if("string"!=typeof s)return i()
|
||||
n.setTextboxValue(),n.addOption(e,!0),n.setCaret(o),n.addItem(s),n.refreshOptions(t&&"single"!==n.settings.mode),i(e),r=!0}
|
||||
return s="function"==typeof n.settings.create?n.settings.create.call(this,e,l):{[n.settings.labelField]:e,[n.settings.valueField]:e},r||l(s),!0}refreshItems(){var e=this
|
||||
e.lastQuery=null,e.isSetup&&e.addItems(e.items),e.updateOriginalInput(),e.refreshState()}refreshState(){const e=this
|
||||
e.refreshValidityState()
|
||||
const t=e.isFull(),i=e.isLocked
|
||||
e.wrapper.classList.toggle("rtl",e.rtl)
|
||||
const s=e.wrapper.classList
|
||||
var n
|
||||
s.toggle("focus",e.isFocused),s.toggle("disabled",e.isDisabled),s.toggle("required",e.isRequired),s.toggle("invalid",!e.isValid),s.toggle("locked",i),s.toggle("full",t),s.toggle("input-active",e.isFocused&&!e.isInputHidden),s.toggle("dropdown-active",e.isOpen),s.toggle("has-options",(n=e.options,0===Object.keys(n).length)),s.toggle("has-items",e.items.length>0)}refreshValidityState(){var e=this
|
||||
e.input.checkValidity&&(e.isValid=e.input.checkValidity(),e.isInvalid=!e.isValid)}isFull(){return null!==this.settings.maxItems&&this.items.length>=this.settings.maxItems}updateOriginalInput(e={}){const t=this
|
||||
var i,s
|
||||
const n=t.input.querySelector('option[value=""]')
|
||||
if(t.is_select_tag){const e=[]
|
||||
function o(i,s,o){return i||(i=w('<option value="'+N(s)+'">'+N(o)+"</option>")),i!=n&&t.input.append(i),e.push(i),i.selected=!0,i}t.input.querySelectorAll("option:checked").forEach((e=>{e.selected=!1})),0==t.items.length&&"single"==t.settings.mode?o(n,"",""):t.items.forEach((n=>{if(i=t.options[n],s=i[t.settings.labelField]||"",e.includes(i.$option)){o(t.input.querySelector(`option[value="${Q(n)}"]:not(:checked)`),n,s)}else i.$option=o(i.$option,n,s)}))}else t.input.value=t.getValue()
|
||||
t.isSetup&&(e.silent||t.trigger("change",t.getValue()))}open(){var e=this
|
||||
e.isLocked||e.isOpen||"multi"===e.settings.mode&&e.isFull()||(e.isOpen=!0,P(e.focus_node,{"aria-expanded":"true"}),e.refreshState(),I(e.dropdown,{visibility:"hidden",display:"block"}),e.positionDropdown(),I(e.dropdown,{visibility:"visible",display:"block"}),e.focus(),e.trigger("dropdown_open",e.dropdown))}close(e=!0){var t=this,i=t.isOpen
|
||||
e&&(t.setTextboxValue(),"single"===t.settings.mode&&t.items.length&&t.hideInput()),t.isOpen=!1,P(t.focus_node,{"aria-expanded":"false"}),I(t.dropdown,{display:"none"}),t.settings.hideSelected&&t.clearActiveOption(),t.refreshState(),i&&t.trigger("dropdown_close",t.dropdown)}positionDropdown(){if("body"===this.settings.dropdownParent){var e=this.control,t=e.getBoundingClientRect(),i=e.offsetHeight+t.top+window.scrollY,s=t.left+window.scrollX
|
||||
I(this.dropdown,{width:t.width+"px",top:i+"px",left:s+"px"})}}clear(e){var t=this
|
||||
if(t.items.length){var i=t.controlChildren()
|
||||
y(i,(e=>{t.removeItem(e,!0)})),t.showInput(),e||t.updateOriginalInput(),t.trigger("clear")}}insertAtCaret(e){const t=this,i=t.caretPos,s=t.control
|
||||
s.insertBefore(e,s.children[i]),t.setCaret(i+1)}deleteSelection(e){var t,i,s,n,o,r=this
|
||||
t=e&&8===e.keyCode?-1:1,i={start:(o=r.control_input).selectionStart||0,length:(o.selectionEnd||0)-(o.selectionStart||0)}
|
||||
const l=[]
|
||||
if(r.activeItems.length)n=F(r.activeItems,t),s=L(n),t>0&&s++,y(r.activeItems,(e=>l.push(e)))
|
||||
else if((r.isFocused||"single"===r.settings.mode)&&r.items.length){const e=r.controlChildren()
|
||||
t<0&&0===i.start&&0===i.length?l.push(e[r.caretPos-1]):t>0&&i.start===r.inputValue().length&&l.push(e[r.caretPos])}const a=l.map((e=>e.dataset.value))
|
||||
if(!a.length||"function"==typeof r.settings.onDelete&&!1===r.settings.onDelete.call(r,a,e))return!1
|
||||
for(H(e,!0),void 0!==s&&r.setCaret(s);l.length;)r.removeItem(l.pop())
|
||||
return r.showInput(),r.positionDropdown(),r.refreshOptions(!1),!0}advanceSelection(e,t){var i,s,n=this
|
||||
n.rtl&&(e*=-1),n.inputValue().length||(K(V,t)||K("shiftKey",t)?(s=(i=n.getLastActive(e))?i.classList.contains("active")?n.getAdjacent(i,e,"item"):i:e>0?n.control_input.nextElementSibling:n.control_input.previousElementSibling)&&(s.classList.contains("active")&&n.removeActiveItem(i),n.setActiveItemClass(s)):n.moveCaret(e))}moveCaret(e){}getLastActive(e){let t=this.control.querySelector(".last-active")
|
||||
if(t)return t
|
||||
var i=this.control.querySelectorAll(".active")
|
||||
return i?F(i,e):void 0}setCaret(e){this.caretPos=this.items.length}controlChildren(){return Array.from(this.control.querySelectorAll("[data-ts-item]"))}lock(){this.close(),this.isLocked=!0,this.refreshState()}unlock(){this.isLocked=!1,this.refreshState()}disable(){var e=this
|
||||
e.input.disabled=!0,e.control_input.disabled=!0,e.focus_node.tabIndex=-1,e.isDisabled=!0,e.lock()}enable(){var e=this
|
||||
e.input.disabled=!1,e.control_input.disabled=!1,e.focus_node.tabIndex=e.tabIndex,e.isDisabled=!1,e.unlock()}destroy(){var e=this,t=e.revertSettings
|
||||
e.trigger("destroy"),e.off(),e.wrapper.remove(),e.dropdown.remove(),e.input.innerHTML=t.innerHTML,e.input.tabIndex=t.tabIndex,S(e.input,"tomselected","ts-hidden-accessible"),e._destroy(),delete e.input.tomselect}render(e,t){return"function"!=typeof this.settings.render[e]?null:this._render(e,t)}_render(e,t){var i,s,n=""
|
||||
const o=this
|
||||
return"option"!==e&&"item"!=e||(n=D(t[o.settings.valueField])),null==(s=o.settings.render[e].call(this,t,N))||(s=w(s),"option"===e||"option_create"===e?t[o.settings.disabledField]?P(s,{"aria-disabled":"true"}):P(s,{"data-selectable":""}):"optgroup"===e&&(i=t.group[o.settings.optgroupValueField],P(s,{"data-group":i}),t.group[o.settings.disabledField]&&P(s,{"data-disabled":""})),"option"!==e&&"item"!==e||(P(s,{"data-value":n}),"item"===e?(C(s,o.settings.itemClass),P(s,{"data-ts-item":""})):(C(s,o.settings.optionClass),P(s,{role:"option",id:t.$id}),o.options[n].$div=s))),s}clearCache(){y(this.options,((e,t)=>{e.$div&&(e.$div.remove(),delete e.$div)}))}uncacheValue(e){const t=this.getOption(e)
|
||||
t&&t.remove()}canCreate(e){return this.settings.create&&e.length>0&&this.settings.createFilter.call(this,e)}hook(e,t,i){var s=this,n=s[t]
|
||||
s[t]=function(){var t,o
|
||||
return"after"===e&&(t=n.apply(s,arguments)),o=i.apply(s,arguments),"instead"===e?o:("before"===e&&(t=n.apply(s,arguments)),t)}}}return J.define("change_listener",(function(){B(this.input,"change",(()=>{this.sync()}))})),J.define("checkbox_options",(function(){var e=this,t=e.onOptionSelect
|
||||
e.settings.hideSelected=!1
|
||||
var i=function(e){setTimeout((()=>{var t=e.querySelector("input")
|
||||
e.classList.contains("selected")?t.checked=!0:t.checked=!1}),1)}
|
||||
e.hook("after","setupTemplates",(()=>{var t=e.settings.render.option
|
||||
e.settings.render.option=(i,s)=>{var n=w(t.call(e,i,s)),o=document.createElement("input")
|
||||
o.addEventListener("click",(function(e){H(e)})),o.type="checkbox"
|
||||
const r=q(i[e.settings.valueField])
|
||||
return r&&e.items.indexOf(r)>-1&&(o.checked=!0),n.prepend(o),n}})),e.on("item_remove",(t=>{var s=e.getOption(t)
|
||||
s&&(s.classList.remove("selected"),i(s))})),e.hook("instead","onOptionSelect",((s,n)=>{if(n.classList.contains("selected"))return n.classList.remove("selected"),e.removeItem(n.dataset.value),e.refreshOptions(),void H(s,!0)
|
||||
t.call(e,s,n),i(n)}))})),J.define("clear_button",(function(e){const t=this,i=Object.assign({className:"clear-button",title:"Clear All",html:e=>`<div class="${e.className}" title="${e.title}">×</div>`},e)
|
||||
t.on("initialize",(()=>{var e=w(i.html(i))
|
||||
e.addEventListener("click",(e=>{t.clear(),"single"===t.settings.mode&&t.settings.allowEmptyOption&&t.addItem(""),e.preventDefault(),e.stopPropagation()})),t.control.appendChild(e)}))})),J.define("drag_drop",(function(){var e=this
|
||||
if(!$.fn.sortable)throw new Error('The "drag_drop" plugin requires jQuery UI "sortable".')
|
||||
if("multi"===e.settings.mode){var t=e.lock,i=e.unlock
|
||||
e.hook("instead","lock",(()=>{var i=$(e.control).data("sortable")
|
||||
return i&&i.disable(),t.call(e)})),e.hook("instead","unlock",(()=>{var t=$(e.control).data("sortable")
|
||||
return t&&t.enable(),i.call(e)})),e.on("initialize",(()=>{var t=$(e.control).sortable({items:"[data-value]",forcePlaceholderSize:!0,disabled:e.isLocked,start:(e,i)=>{i.placeholder.css("width",i.helper.css("width")),t.css({overflow:"visible"})},stop:()=>{t.css({overflow:"hidden"})
|
||||
var i=[]
|
||||
t.children("[data-value]").each((function(){this.dataset.value&&i.push(this.dataset.value)})),e.setValue(i)}})}))}})),J.define("dropdown_header",(function(e){const t=this,i=Object.assign({title:"Untitled",headerClass:"dropdown-header",titleRowClass:"dropdown-header-title",labelClass:"dropdown-header-label",closeClass:"dropdown-header-close",html:e=>'<div class="'+e.headerClass+'"><div class="'+e.titleRowClass+'"><span class="'+e.labelClass+'">'+e.title+'</span><a class="'+e.closeClass+'">×</a></div></div>'},e)
|
||||
t.on("initialize",(()=>{var e=w(i.html(i)),s=e.querySelector("."+i.closeClass)
|
||||
s&&s.addEventListener("click",(e=>{H(e,!0),t.close()})),t.dropdown.insertBefore(e,t.dropdown.firstChild)}))})),J.define("caret_position",(function(){var e=this
|
||||
e.hook("instead","setCaret",(t=>{"single"!==e.settings.mode&&e.control.contains(e.control_input)?(t=Math.max(0,Math.min(e.items.length,t)))==e.caretPos||e.isPending||e.controlChildren().forEach(((i,s)=>{s<t?e.control_input.insertAdjacentElement("beforebegin",i):e.control.appendChild(i)})):t=e.items.length,e.caretPos=t})),e.hook("instead","moveCaret",(t=>{if(!e.isFocused)return
|
||||
const i=e.getLastActive(t)
|
||||
if(i){const s=L(i)
|
||||
e.setCaret(t>0?s+1:s),e.setActiveItem()}else e.setCaret(e.caretPos+t)}))})),J.define("dropdown_input",(function(){var e=this
|
||||
e.settings.shouldOpen=!0,e.hook("before","setup",(()=>{e.focus_node=e.control,C(e.control_input,"dropdown-input")
|
||||
const t=w('<div class="dropdown-input-wrap">')
|
||||
t.append(e.control_input),e.dropdown.insertBefore(t,e.dropdown.firstChild)})),e.on("initialize",(()=>{e.control_input.addEventListener("keydown",(t=>{switch(t.keyCode){case 27:return e.isOpen&&(H(t,!0),e.close()),void e.clearActiveItems()
|
||||
case 9:e.focus_node.tabIndex=-1}return e.onKeyDown.call(e,t)})),e.on("blur",(()=>{e.focus_node.tabIndex=e.isDisabled?-1:e.tabIndex})),e.on("dropdown_open",(()=>{e.control_input.focus()}))
|
||||
const t=e.onBlur
|
||||
e.hook("instead","onBlur",(i=>{if(!i||i.relatedTarget!=e.control_input)return t.call(e)})),B(e.control_input,"blur",(()=>e.onBlur())),e.hook("before","close",(()=>{e.isOpen&&e.focus_node.focus()}))}))})),J.define("input_autogrow",(function(){var e=this
|
||||
e.on("initialize",(()=>{var t=document.createElement("span"),i=e.control_input
|
||||
t.style.cssText="position:absolute; top:-99999px; left:-99999px; width:auto; padding:0; white-space:pre; ",e.wrapper.appendChild(t)
|
||||
for(const e of["letterSpacing","fontSize","fontFamily","fontWeight","textTransform"])t.style[e]=i.style[e]
|
||||
var s=()=>{e.items.length>0?(t.textContent=i.value,i.style.width=t.clientWidth+"px"):i.style.width=""}
|
||||
s(),e.on("update item_add item_remove",s),B(i,"input",s),B(i,"keyup",s),B(i,"blur",s),B(i,"update",s)}))})),J.define("no_backspace_delete",(function(){var e=this,t=e.deleteSelection
|
||||
this.hook("instead","deleteSelection",(i=>!!e.activeItems.length&&t.call(e,i)))})),J.define("no_active_items",(function(){this.hook("instead","setActiveItem",(()=>{})),this.hook("instead","selectAll",(()=>{}))})),J.define("optgroup_columns",(function(){var e=this,t=e.onKeyDown
|
||||
e.hook("instead","onKeyDown",(i=>{var s,n,o,r
|
||||
if(!e.isOpen||37!==i.keyCode&&39!==i.keyCode)return t.call(e,i)
|
||||
r=k(e.activeOption,"[data-group]"),s=L(e.activeOption,"[data-selectable]"),r&&(r=37===i.keyCode?r.previousSibling:r.nextSibling)&&(n=(o=r.querySelectorAll("[data-selectable]"))[Math.min(o.length-1,s)])&&e.setActiveOption(n)}))})),J.define("remove_button",(function(e){const t=Object.assign({label:"×",title:"Remove",className:"remove",append:!0},e)
|
||||
var i=this
|
||||
if(t.append){var s='<a href="javascript:void(0)" class="'+t.className+'" tabindex="-1" title="'+N(t.title)+'">'+t.label+"</a>"
|
||||
i.hook("after","setupTemplates",(()=>{var e=i.settings.render.item
|
||||
i.settings.render.item=(t,n)=>{var o=w(e.call(i,t,n)),r=w(s)
|
||||
return o.appendChild(r),B(r,"mousedown",(e=>{H(e,!0)})),B(r,"click",(e=>{if(H(e,!0),!i.isLocked){var t=o.dataset.value
|
||||
i.removeItem(t),i.refreshOptions(!1)}})),o}}))}})),J.define("restore_on_backspace",(function(e){const t=this,i=Object.assign({text:e=>e[t.settings.labelField]},e)
|
||||
t.on("item_remove",(function(e){if(""===t.control_input.value.trim()){var s=t.options[e]
|
||||
s&&t.setTextboxValue(i.text.call(t,s))}}))})),J.define("virtual_scroll",(function(){const e=this,t=e.canLoad,i=e.clearActiveOption,s=e.loadCallback
|
||||
var n,o={},r=!1
|
||||
if(!e.settings.firstUrl)throw"virtual_scroll plugin requires a firstUrl() method"
|
||||
function l(t){return!("number"==typeof e.settings.maxOptions&&n.children.length>=e.settings.maxOptions)&&!(!(t in o)||!o[t])}e.settings.sortField=[{field:"$order"},{field:"$score"}],e.setNextUrl=function(e,t){o[e]=t},e.getUrl=function(t){if(t in o){const e=o[t]
|
||||
return o[t]=!1,e}return o={},e.settings.firstUrl(t)},e.hook("instead","clearActiveOption",(()=>{if(!r)return i.call(e)})),e.hook("instead","canLoad",(i=>i in o?l(i):t.call(e,i))),e.hook("instead","loadCallback",((t,i)=>{r||e.clearOptions(),s.call(e,t,i),r=!1})),e.hook("after","refreshOptions",(()=>{const t=e.lastValue
|
||||
var i
|
||||
l(t)?(i=e.render("loading_more",{query:t}))&&i.setAttribute("data-selectable",""):t in o&&!n.querySelector(".no-results")&&(i=e.render("no_more_results",{query:t})),i&&(C(i,e.settings.optionClass),n.append(i))})),e.on("initialize",(()=>{n=e.dropdown_content,e.settings.render=Object.assign({},{loading_more:function(){return'<div class="loading-more-results">Loading more results ... </div>'},no_more_results:function(){return'<div class="no-more-results">No more results</div>'}},e.settings.render),n.addEventListener("scroll",(function(){n.clientHeight/(n.scrollHeight-n.scrollTop)<.95||l(e.lastValue)&&(r||(r=!0,e.load.call(e,e.lastValue)))}))}))})),J}))
|
||||
var tomSelect=function(e,t){return new TomSelect(e,t)}
|
||||
//# sourceMappingURL=tom-select.complete.min.js.map
|
||||
|
|
@ -1,334 +0,0 @@
|
|||
/**
|
||||
* tom-select.css (v2.0.0-rc.4)
|
||||
* Copyright (c) contributors
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this
|
||||
* file except in compliance with the License. You may obtain a copy of the License at:
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software distributed under
|
||||
* the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
|
||||
* ANY KIND, either express or implied. See the License for the specific language
|
||||
* governing permissions and limitations under the License.
|
||||
*
|
||||
*/
|
||||
.ts-wrapper.plugin-drag_drop.multi > .ts-control > div.ui-sortable-placeholder {
|
||||
visibility: visible !important;
|
||||
background: #f2f2f2 !important;
|
||||
background: rgba(0, 0, 0, 0.06) !important;
|
||||
border: 0 none !important;
|
||||
box-shadow: inset 0 0 12px 4px #fff; }
|
||||
|
||||
.ts-wrapper.plugin-drag_drop .ui-sortable-placeholder::after {
|
||||
content: '!';
|
||||
visibility: hidden; }
|
||||
|
||||
.ts-wrapper.plugin-drag_drop .ui-sortable-helper {
|
||||
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.plugin-checkbox_options .option input {
|
||||
margin-right: 0.5rem; }
|
||||
|
||||
.plugin-clear_button .ts-control {
|
||||
padding-right: calc( 1em + (3 * 6px)) !important; }
|
||||
|
||||
.plugin-clear_button .clear-button {
|
||||
opacity: 0;
|
||||
position: absolute;
|
||||
top: 8px;
|
||||
right: calc(8px - 6px);
|
||||
margin-right: 0 !important;
|
||||
background: transparent !important;
|
||||
transition: opacity 0.5s;
|
||||
cursor: pointer; }
|
||||
|
||||
.plugin-clear_button.single .clear-button {
|
||||
right: calc(8px - 6px + 2rem); }
|
||||
|
||||
.plugin-clear_button.focus.has-items .clear-button,
|
||||
.plugin-clear_button:hover.has-items .clear-button {
|
||||
opacity: 1; }
|
||||
|
||||
.ts-wrapper .dropdown-header {
|
||||
position: relative;
|
||||
padding: 10px 8px;
|
||||
border-bottom: 1px solid #d0d0d0;
|
||||
background: #f8f8f8;
|
||||
border-radius: 3px 3px 0 0; }
|
||||
|
||||
.ts-wrapper .dropdown-header-close {
|
||||
position: absolute;
|
||||
right: 8px;
|
||||
top: 50%;
|
||||
color: #303030;
|
||||
opacity: 0.4;
|
||||
margin-top: -12px;
|
||||
line-height: 20px;
|
||||
font-size: 20px !important; }
|
||||
|
||||
.ts-wrapper .dropdown-header-close:hover {
|
||||
color: black; }
|
||||
|
||||
.plugin-dropdown_input.focus.dropdown-active .ts-control {
|
||||
box-shadow: none;
|
||||
border: 1px solid #d0d0d0; }
|
||||
|
||||
.plugin-dropdown_input .dropdown-input {
|
||||
border: 1px solid #d0d0d0;
|
||||
border-width: 0 0 1px 0;
|
||||
display: block;
|
||||
padding: 8px 8px;
|
||||
box-shadow: none;
|
||||
width: 100%;
|
||||
background: transparent; }
|
||||
|
||||
.ts-wrapper.plugin-input_autogrow.has-items .ts-control > input {
|
||||
min-width: 0; }
|
||||
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input {
|
||||
flex: none;
|
||||
min-width: 4px; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::-webkit-input-placeholder {
|
||||
color: transparent; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::-ms-input-placeholder {
|
||||
color: transparent; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::placeholder {
|
||||
color: transparent; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .ts-dropdown-content {
|
||||
display: flex; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup {
|
||||
border-right: 1px solid #f2f2f2;
|
||||
border-top: 0 none;
|
||||
flex-grow: 1;
|
||||
flex-basis: 0;
|
||||
min-width: 0; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup:last-child {
|
||||
border-right: 0 none; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup:before {
|
||||
display: none; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup-header {
|
||||
border-top: 0 none; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding-right: 0 !important; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item .remove {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
vertical-align: middle;
|
||||
display: inline-block;
|
||||
padding: 2px 6px;
|
||||
border-left: 1px solid #d0d0d0;
|
||||
border-radius: 0 2px 2px 0;
|
||||
box-sizing: border-box;
|
||||
margin-left: 6px; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item .remove:hover {
|
||||
background: rgba(0, 0, 0, 0.05); }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item.active .remove {
|
||||
border-left-color: #cacaca; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button.disabled .item .remove:hover {
|
||||
background: none; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button.disabled .item .remove {
|
||||
border-left-color: white; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .remove-single {
|
||||
position: absolute;
|
||||
right: 0;
|
||||
top: 0;
|
||||
font-size: 23px; }
|
||||
|
||||
.ts-wrapper {
|
||||
position: relative; }
|
||||
|
||||
.ts-dropdown,
|
||||
.ts-control,
|
||||
.ts-control input {
|
||||
color: #303030;
|
||||
font-family: inherit;
|
||||
font-size: 13px;
|
||||
line-height: 18px;
|
||||
font-smoothing: inherit; }
|
||||
|
||||
.ts-control,
|
||||
.ts-wrapper.single.input-active .ts-control {
|
||||
background: #fff;
|
||||
cursor: text; }
|
||||
|
||||
.ts-control {
|
||||
border: 1px solid #d0d0d0;
|
||||
padding: 8px 8px;
|
||||
width: 100%;
|
||||
overflow: hidden;
|
||||
position: relative;
|
||||
z-index: 1;
|
||||
box-sizing: border-box;
|
||||
box-shadow: none;
|
||||
border-radius: 3px;
|
||||
display: flex;
|
||||
flex-wrap: wrap; }
|
||||
.ts-wrapper.multi.has-items .ts-control {
|
||||
padding: calc( 8px - 2px - 0) 8px calc( 8px - 2px - 3px - 0); }
|
||||
.full .ts-control {
|
||||
background-color: #fff; }
|
||||
.disabled .ts-control,
|
||||
.disabled .ts-control * {
|
||||
cursor: default !important; }
|
||||
.focus .ts-control {
|
||||
box-shadow: none; }
|
||||
.ts-control > * {
|
||||
vertical-align: baseline;
|
||||
display: inline-block; }
|
||||
.ts-wrapper.multi .ts-control > div {
|
||||
cursor: pointer;
|
||||
margin: 0 3px 3px 0;
|
||||
padding: 2px 6px;
|
||||
background: #f2f2f2;
|
||||
color: #303030;
|
||||
border: 0 solid #d0d0d0; }
|
||||
.ts-wrapper.multi .ts-control > div.active {
|
||||
background: #e8e8e8;
|
||||
color: #303030;
|
||||
border: 0 solid #cacaca; }
|
||||
.ts-wrapper.multi.disabled .ts-control > div, .ts-wrapper.multi.disabled .ts-control > div.active {
|
||||
color: #7d7c7c;
|
||||
background: white;
|
||||
border: 0 solid white; }
|
||||
.ts-control > input {
|
||||
flex: 1 1 auto;
|
||||
min-width: 7rem;
|
||||
display: inline-block !important;
|
||||
padding: 0 !important;
|
||||
min-height: 0 !important;
|
||||
max-height: none !important;
|
||||
max-width: 100% !important;
|
||||
margin: 0 !important;
|
||||
text-indent: 0 !important;
|
||||
border: 0 none !important;
|
||||
background: none !important;
|
||||
line-height: inherit !important;
|
||||
-webkit-user-select: auto !important;
|
||||
-moz-user-select: auto !important;
|
||||
-ms-user-select: auto !important;
|
||||
user-select: auto !important;
|
||||
box-shadow: none !important; }
|
||||
.ts-control > input::-ms-clear {
|
||||
display: none; }
|
||||
.ts-control > input:focus {
|
||||
outline: none !important; }
|
||||
.has-items .ts-control > input {
|
||||
margin: 0 4px !important; }
|
||||
.ts-control.rtl {
|
||||
text-align: right; }
|
||||
.ts-control.rtl.single .ts-control:after {
|
||||
left: 15px;
|
||||
right: auto; }
|
||||
.ts-control.rtl .ts-control > input {
|
||||
margin: 0 4px 0 -2px !important; }
|
||||
.disabled .ts-control {
|
||||
opacity: 0.5;
|
||||
background-color: #fafafa; }
|
||||
.input-hidden .ts-control > input {
|
||||
opacity: 0;
|
||||
position: absolute;
|
||||
left: -10000px; }
|
||||
|
||||
.ts-dropdown {
|
||||
position: absolute;
|
||||
top: 100%;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
z-index: 10;
|
||||
border: 1px solid #d0d0d0;
|
||||
background: #fff;
|
||||
margin: 0.25rem 0 0 0;
|
||||
border-top: 0 none;
|
||||
box-sizing: border-box;
|
||||
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
|
||||
border-radius: 0 0 3px 3px; }
|
||||
.ts-dropdown [data-selectable] {
|
||||
cursor: pointer;
|
||||
overflow: hidden; }
|
||||
.ts-dropdown [data-selectable] .highlight {
|
||||
background: rgba(125, 168, 208, 0.2);
|
||||
border-radius: 1px; }
|
||||
.ts-dropdown .option,
|
||||
.ts-dropdown .optgroup-header,
|
||||
.ts-dropdown .no-results,
|
||||
.ts-dropdown .create {
|
||||
padding: 5px 8px; }
|
||||
.ts-dropdown .option, .ts-dropdown [data-disabled], .ts-dropdown [data-disabled] [data-selectable].option {
|
||||
cursor: inherit;
|
||||
opacity: 0.5; }
|
||||
.ts-dropdown [data-selectable].option {
|
||||
opacity: 1;
|
||||
cursor: pointer; }
|
||||
.ts-dropdown .optgroup:first-child .optgroup-header {
|
||||
border-top: 0 none; }
|
||||
.ts-dropdown .optgroup-header {
|
||||
color: #303030;
|
||||
background: #fff;
|
||||
cursor: default; }
|
||||
.ts-dropdown .create:hover,
|
||||
.ts-dropdown .option:hover,
|
||||
.ts-dropdown .active {
|
||||
background-color: #f5fafd;
|
||||
color: #495c68; }
|
||||
.ts-dropdown .create:hover.create,
|
||||
.ts-dropdown .option:hover.create,
|
||||
.ts-dropdown .active.create {
|
||||
color: #495c68; }
|
||||
.ts-dropdown .create {
|
||||
color: rgba(48, 48, 48, 0.5); }
|
||||
.ts-dropdown .spinner {
|
||||
display: inline-block;
|
||||
width: 30px;
|
||||
height: 30px;
|
||||
margin: 5px 8px; }
|
||||
.ts-dropdown .spinner:after {
|
||||
content: " ";
|
||||
display: block;
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
margin: 3px;
|
||||
border-radius: 50%;
|
||||
border: 5px solid #d0d0d0;
|
||||
border-color: #d0d0d0 transparent #d0d0d0 transparent;
|
||||
animation: lds-dual-ring 1.2s linear infinite; }
|
||||
|
||||
@keyframes lds-dual-ring {
|
||||
0% {
|
||||
transform: rotate(0deg); }
|
||||
100% {
|
||||
transform: rotate(360deg); } }
|
||||
|
||||
.ts-dropdown-content {
|
||||
overflow-y: auto;
|
||||
overflow-x: hidden;
|
||||
max-height: 200px;
|
||||
overflow-scrolling: touch;
|
||||
scroll-behavior: smooth; }
|
||||
|
||||
.ts-hidden-accessible {
|
||||
border: 0 !important;
|
||||
clip: rect(0 0 0 0) !important;
|
||||
-webkit-clip-path: inset(50%) !important;
|
||||
clip-path: inset(50%) !important;
|
||||
height: 1px !important;
|
||||
overflow: hidden !important;
|
||||
padding: 0 !important;
|
||||
position: absolute !important;
|
||||
width: 1px !important;
|
||||
white-space: nowrap !important; }
|
||||
|
||||
/*# sourceMappingURL=tom-select.css.map */
|
||||
File diff suppressed because one or more lines are too long
27
txt2graph/lib/vis-9.1.2/vis-network.min.js
vendored
27
txt2graph/lib/vis-9.1.2/vis-network.min.js
vendored
File diff suppressed because one or more lines are too long
|
|
@ -1,163 +0,0 @@
|
|||
"""
|
||||
自定义实体类型定义
|
||||
只提取现实生活中真实存在的、可以有行动的实体
|
||||
"""
|
||||
|
||||
from pydantic import Field
|
||||
from zep_cloud.external_clients.ontology import EntityModel, EntityText, EdgeModel
|
||||
|
||||
|
||||
# ============== 实体类型定义 ==============
|
||||
|
||||
class Person(EntityModel):
|
||||
"""A real, named individual. Must have a specific name like "马化腾" or "Elon Musk". NOT generic terms like "某人", "用户", pronouns, or abstract roles."""
|
||||
role: EntityText = Field(
|
||||
description="职业或职位",
|
||||
default=None
|
||||
)
|
||||
affiliation: EntityText = Field(
|
||||
description="所属组织",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class Organization(EntityModel):
|
||||
"""A real organization with an official name like "武汉大学", "联合国". NOT generic terms like "大学", "政府", "组织"."""
|
||||
org_type: EntityText = Field(
|
||||
description="组织类型",
|
||||
default=None
|
||||
)
|
||||
location: EntityText = Field(
|
||||
description="所在地",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class Company(EntityModel):
|
||||
"""A real company with registered name like "腾讯", "Apple Inc.". NOT generic terms like "科技公司", "某企业"."""
|
||||
industry: EntityText = Field(
|
||||
description="所属行业",
|
||||
default=None
|
||||
)
|
||||
headquarters: EntityText = Field(
|
||||
description="总部位置",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class Location(EntityModel):
|
||||
"""A real geographic location like "北京", "硅谷", "故宫". NOT generic terms like "某地", "一个城市"."""
|
||||
location_type: EntityText = Field(
|
||||
description="地点类型",
|
||||
default=None
|
||||
)
|
||||
country: EntityText = Field(
|
||||
description="所属国家",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class Product(EntityModel):
|
||||
"""A real product/service with brand name like "iPhone", "微信". NOT generic categories like "手机", "软件"."""
|
||||
category: EntityText = Field(
|
||||
description="产品类别",
|
||||
default=None
|
||||
)
|
||||
manufacturer: EntityText = Field(
|
||||
description="制造商",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class Event(EntityModel):
|
||||
"""A real, documented event like "2024巴黎奥运会", "新冠疫情". NOT generic terms like "会议", "活动"."""
|
||||
event_type: EntityText = Field(
|
||||
description="事件类型",
|
||||
default=None
|
||||
)
|
||||
date: EntityText = Field(
|
||||
description="发生日期",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class Media(EntityModel):
|
||||
"""A real media outlet like "人民日报", "CNN", "微博". NOT generic terms like "媒体", "新闻"."""
|
||||
media_type: EntityText = Field(
|
||||
description="媒体类型",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
# ============== 边类型定义 ==============
|
||||
|
||||
class WorksFor(EdgeModel):
|
||||
"""Employment or affiliation relationship."""
|
||||
position: EntityText = Field(
|
||||
description="职位",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class LocatedIn(EdgeModel):
|
||||
"""Geographic location relationship."""
|
||||
pass
|
||||
|
||||
|
||||
class PartOf(EdgeModel):
|
||||
"""Part-of or subsidiary relationship."""
|
||||
pass
|
||||
|
||||
|
||||
class Produces(EdgeModel):
|
||||
"""Production or creation relationship."""
|
||||
pass
|
||||
|
||||
|
||||
class ParticipatesIn(EdgeModel):
|
||||
"""Participation in an event."""
|
||||
role: EntityText = Field(
|
||||
description="参与角色",
|
||||
default=None
|
||||
)
|
||||
|
||||
|
||||
class Collaborates(EdgeModel):
|
||||
"""Collaboration or partnership relationship."""
|
||||
pass
|
||||
|
||||
|
||||
class Competes(EdgeModel):
|
||||
"""Competitive relationship."""
|
||||
pass
|
||||
|
||||
|
||||
class Reports(EdgeModel):
|
||||
"""Media reporting or coverage relationship."""
|
||||
pass
|
||||
|
||||
|
||||
# ============== 本体配置 ==============
|
||||
|
||||
# 实体类型字典
|
||||
ENTITY_TYPES = {
|
||||
"Person": Person,
|
||||
"Organization": Organization,
|
||||
"Company": Company,
|
||||
"Location": Location,
|
||||
"Product": Product,
|
||||
"Event": Event,
|
||||
"Media": Media,
|
||||
}
|
||||
|
||||
# 边类型字典
|
||||
EDGE_TYPES = {
|
||||
"WORKS_FOR": WorksFor,
|
||||
"LOCATED_IN": LocatedIn,
|
||||
"PART_OF": PartOf,
|
||||
"PRODUCES": Produces,
|
||||
"PARTICIPATES_IN": ParticipatesIn,
|
||||
"COLLABORATES": Collaborates,
|
||||
"COMPETES": Competes,
|
||||
"REPORTS": Reports,
|
||||
}
|
||||
|
|
@ -1,405 +0,0 @@
|
|||
"""
|
||||
Zep Graph HTML渲染器
|
||||
从Zep云服务获取图谱数据并生成交互式HTML可视化
|
||||
"""
|
||||
|
||||
import os
|
||||
import json
|
||||
import argparse
|
||||
import tempfile
|
||||
import time
|
||||
from datetime import datetime
|
||||
from dotenv import load_dotenv
|
||||
from zep_cloud.client import Zep
|
||||
from pyvis.network import Network
|
||||
|
||||
# 加载环境变量
|
||||
load_dotenv()
|
||||
|
||||
# 实体类型对应的颜色
|
||||
ENTITY_COLORS = {
|
||||
"Person": "#ff6b6b",
|
||||
"Company": "#4ecdc4",
|
||||
"Organization": "#45b7d1",
|
||||
"Location": "#96ceb4",
|
||||
"Product": "#ffeead",
|
||||
"Event": "#dcc6e0",
|
||||
"Media": "#ffb74d",
|
||||
"Preference": "#a29bfe",
|
||||
"Topic": "#fd79a8",
|
||||
"Object": "#636e72",
|
||||
"Entity": "#b2bec3",
|
||||
}
|
||||
|
||||
# 默认颜色
|
||||
DEFAULT_COLOR = "#74b9ff"
|
||||
|
||||
|
||||
def get_graph_data(client: Zep, graph_id: str, max_retries: int = 3) -> tuple[list, list]:
|
||||
"""
|
||||
从Zep获取图谱的所有节点和边
|
||||
"""
|
||||
print(f"正在获取图谱 {graph_id} 的数据...")
|
||||
|
||||
nodes = None
|
||||
edges = None
|
||||
|
||||
# 获取所有节点（带重试）
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
nodes = client.graph.node.get_by_graph_id(graph_id=graph_id)
|
||||
print(f" 获取到 {len(nodes)} 个节点")
|
||||
break
|
||||
except Exception as e:
|
||||
if attempt < max_retries - 1:
|
||||
print(f" 获取节点失败，重试中... ({attempt + 1}/{max_retries})")
|
||||
time.sleep(2)
|
||||
else:
|
||||
raise e
|
||||
|
||||
# 获取所有边（带重试）
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
edges = client.graph.edge.get_by_graph_id(graph_id=graph_id)
|
||||
print(f" 获取到 {len(edges)} 个边")
|
||||
break
|
||||
except Exception as e:
|
||||
if attempt < max_retries - 1:
|
||||
print(f" 获取边失败，重试中... ({attempt + 1}/{max_retries})")
|
||||
time.sleep(2)
|
||||
else:
|
||||
raise e
|
||||
|
||||
return nodes or [], edges or []
|
||||
|
||||
|
||||
def create_html_graph(nodes: list, edges: list, graph_id: str, output_file: str):
|
||||
"""
|
||||
创建交互式HTML图谱可视化
|
||||
"""
|
||||
print("正在生成HTML可视化...")
|
||||
|
||||
# 创建网络图
|
||||
net = Network(
|
||||
height="100vh",
|
||||
width="100%",
|
||||
bgcolor="#1a1a2e",
|
||||
font_color="white",
|
||||
directed=True,
|
||||
select_menu=True,
|
||||
filter_menu=True,
|
||||
notebook=False,
|
||||
)
|
||||
|
||||
# 配置物理引擎和交互
|
||||
net.set_options("""
|
||||
{
|
||||
"nodes": {
|
||||
"font": {
|
||||
"size": 14,
|
||||
"face": "Arial, sans-serif",
|
||||
"color": "white"
|
||||
},
|
||||
"borderWidth": 2,
|
||||
"borderWidthSelected": 4,
|
||||
"shadow": {
|
||||
"enabled": true,
|
||||
"color": "rgba(0,0,0,0.5)",
|
||||
"size": 10
|
||||
}
|
||||
},
|
||||
"edges": {
|
||||
"color": {
|
||||
"color": "#555555",
|
||||
"highlight": "#667eea",
|
||||
"hover": "#667eea"
|
||||
},
|
||||
"arrows": {
|
||||
"to": {
|
||||
"enabled": true,
|
||||
"scaleFactor": 0.5
|
||||
}
|
||||
},
|
||||
"smooth": {
|
||||
"type": "continuous",
|
||||
"roundness": 0.2
|
||||
},
|
||||
"font": {
|
||||
"size": 10,
|
||||
"color": "#aaaaaa",
|
||||
"face": "Arial, sans-serif",
|
||||
"strokeWidth": 0,
|
||||
"background": "rgba(26,26,46,0.8)"
|
||||
},
|
||||
"width": 1.5,
|
||||
"hoverWidth": 2.5
|
||||
},
|
||||
"physics": {
|
||||
"enabled": true,
|
||||
"barnesHut": {
|
||||
"gravitationalConstant": -8000,
|
||||
"centralGravity": 0.3,
|
||||
"springLength": 150,
|
||||
"springConstant": 0.04,
|
||||
"damping": 0.09,
|
||||
"avoidOverlap": 0.5
|
||||
},
|
||||
"stabilization": {
|
||||
"enabled": true,
|
||||
"iterations": 300,
|
||||
"updateInterval": 25
|
||||
}
|
||||
},
|
||||
"interaction": {
|
||||
"hover": true,
|
||||
"tooltipDelay": 100,
|
||||
"navigationButtons": true,
|
||||
"keyboard": {
|
||||
"enabled": true
|
||||
},
|
||||
"multiselect": true,
|
||||
"zoomView": true
|
||||
}
|
||||
}
|
||||
""")
|
||||
|
||||
# 构建节点UUID到节点的映射
|
||||
node_map = {}
|
||||
for node in nodes:
|
||||
node_map[node.uuid_] = node
|
||||
|
||||
# 统计节点类型
|
||||
type_counts = {}
|
||||
|
||||
# 添加节点
|
||||
for node in nodes:
|
||||
node_labels = node.labels or []
|
||||
specific_labels = [l for l in node_labels if l not in ["Entity", "Node"]]
|
||||
node_type = specific_labels[0] if specific_labels else (node_labels[0] if node_labels else "Unknown")
|
||||
|
||||
color = ENTITY_COLORS.get(node_type, DEFAULT_COLOR)
|
||||
type_counts[node_type] = type_counts.get(node_type, 0) + 1
|
||||
|
||||
# 简化的工具提示（避免复杂HTML）
|
||||
summary_text = (node.summary or '无摘要')[:200]
|
||||
title = f"{node.name}\n类型: {', '.join(node_labels)}\n摘要: {summary_text}"
|
||||
|
||||
# 根据节点类型调整大小
|
||||
if node_type == "Person":
|
||||
size = 25
|
||||
elif node_type in ["Company", "Organization"]:
|
||||
size = 30
|
||||
elif node_type == "Location":
|
||||
size = 22
|
||||
elif node_type == "Event":
|
||||
size = 20
|
||||
else:
|
||||
size = 18
|
||||
|
||||
net.add_node(
|
||||
node.uuid_,
|
||||
label=node.name[:20] + "..." if len(node.name) > 20 else node.name,
|
||||
title=title,
|
||||
color=color,
|
||||
size=size,
|
||||
)
|
||||
|
||||
# 添加边
|
||||
edge_count = 0
|
||||
for edge in edges:
|
||||
source_uuid = edge.source_node_uuid
|
||||
target_uuid = edge.target_node_uuid
|
||||
|
||||
if source_uuid in node_map and target_uuid in node_map:
|
||||
source_node = node_map[source_uuid]
|
||||
target_node = node_map[target_uuid]
|
||||
|
||||
title = f"{source_node.name} -> {target_node.name}\n关系: {edge.name or '未命名'}\n事实: {edge.fact or '无描述'}"
|
||||
|
||||
edge_label = edge.name or ""
|
||||
if len(edge_label) > 15:
|
||||
edge_label = edge_label[:15] + "..."
|
||||
|
||||
net.add_edge(
|
||||
source_uuid,
|
||||
target_uuid,
|
||||
title=title,
|
||||
label=edge_label,
|
||||
)
|
||||
edge_count += 1
|
||||
|
||||
print(f" 添加了 {len(nodes)} 个节点和 {edge_count} 条边到可视化")
|
||||
|
||||
# 打印类型统计
|
||||
print("\n节点类型统计:")
|
||||
for t, count in sorted(type_counts.items(), key=lambda x: -x[1]):
|
||||
print(f" {t}: {count}")
|
||||
|
||||
# 保存到临时文件获取原始HTML
|
||||
with tempfile.NamedTemporaryFile(mode='w', suffix='.html', delete=False, encoding='utf-8') as tmp:
|
||||
net.save_graph(tmp.name)
|
||||
tmp_path = tmp.name
|
||||
|
||||
# 读取生成的HTML
|
||||
with open(tmp_path, 'r', encoding='utf-8') as f:
|
||||
html_content = f.read()
|
||||
|
||||
os.unlink(tmp_path)
|
||||
|
||||
# 构建自定义CSS和Header HTML
|
||||
custom_css = """
|
||||
<style>
|
||||
#graph-header {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
right: 0;
|
||||
z-index: 1000;
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
padding: 15px 20px;
|
||||
box-shadow: 0 2px 10px rgba(0,0,0,0.3);
|
||||
color: white;
|
||||
font-family: Arial, sans-serif;
|
||||
}
|
||||
#graph-header h1 {
|
||||
margin: 0;
|
||||
font-size: 1.5rem;
|
||||
font-weight: 600;
|
||||
}
|
||||
#graph-header .stats {
|
||||
font-size: 0.9rem;
|
||||
opacity: 0.9;
|
||||
margin-top: 5px;
|
||||
}
|
||||
#graph-legend {
|
||||
position: fixed;
|
||||
top: 80px;
|
||||
right: 20px;
|
||||
z-index: 1000;
|
||||
background: rgba(26, 26, 46, 0.95);
|
||||
border: 1px solid #333;
|
||||
border-radius: 8px;
|
||||
padding: 15px;
|
||||
max-width: 200px;
|
||||
color: white;
|
||||
font-family: Arial, sans-serif;
|
||||
}
|
||||
#graph-legend h3 {
|
||||
margin: 0 0 10px 0;
|
||||
font-size: 0.9rem;
|
||||
border-bottom: 1px solid #444;
|
||||
padding-bottom: 5px;
|
||||
}
|
||||
#graph-legend .item {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
margin: 5px 0;
|
||||
font-size: 0.8rem;
|
||||
}
|
||||
#graph-legend .color-box {
|
||||
width: 12px;
|
||||
height: 12px;
|
||||
border-radius: 3px;
|
||||
margin-right: 8px;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
#mynetwork {
|
||||
margin-top: 70px !important;
|
||||
}
|
||||
body {
|
||||
background: #1a1a2e !important;
|
||||
}
|
||||
</style>
|
||||
"""
|
||||
|
||||
# 构建图例HTML
|
||||
legend_items = ""
|
||||
for entity_type, color in ENTITY_COLORS.items():
|
||||
if entity_type in type_counts:
|
||||
legend_items += f'''
|
||||
<div class="item">
|
||||
<div class="color-box" style="background: {color};"></div>
|
||||
<span>{entity_type} ({type_counts.get(entity_type, 0)})</span>
|
||||
</div>'''
|
||||
|
||||
custom_html = f'''
|
||||
<div id="graph-header">
|
||||
<h1>Knowledge Graph Visualization</h1>
|
||||
<div class="stats">
|
||||
Graph ID: {graph_id} | 节点: {len(nodes)} | 边: {edge_count} | 生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
|
||||
</div>
|
||||
</div>
|
||||
<div id="graph-legend">
|
||||
<h3>图例</h3>
|
||||
{legend_items}
|
||||
</div>
|
||||
'''
|
||||
|
||||
# 在</head>前插入自定义CSS
|
||||
html_content = html_content.replace('</head>', custom_css + '</head>')
|
||||
|
||||
# 在<body>后插入自定义HTML
|
||||
html_content = html_content.replace('<body>', '<body>' + custom_html)
|
||||
|
||||
# 修改标题
|
||||
html_content = html_content.replace('<title>Network</title>', f'<title>Zep Graph: {graph_id}</title>')
|
||||
|
||||
# 写入文件
|
||||
with open(output_file, 'w', encoding='utf-8') as f:
|
||||
f.write(html_content)
|
||||
|
||||
print(f"\nHTML文件已生成: {output_file}")
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description='Zep Graph HTML渲染器')
|
||||
parser.add_argument(
|
||||
'--graph-id', '-g',
|
||||
default='graph_6e3697873495400d',
|
||||
help='Zep图谱ID'
|
||||
)
|
||||
parser.add_argument(
|
||||
'--output', '-o',
|
||||
default='graph_visualization.html',
|
||||
help='输出HTML文件路径'
|
||||
)
|
||||
parser.add_argument(
|
||||
'--api-key', '-k',
|
||||
default=None,
|
||||
help='Zep API Key (默认从环境变量ZEP_API_KEY读取)'
|
||||
)
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
# 获取API Key
|
||||
api_key = args.api_key or os.environ.get('ZEP_API_KEY')
|
||||
if not api_key:
|
||||
print("错误: 请设置ZEP_API_KEY环境变量或通过--api-key参数提供")
|
||||
return 1
|
||||
|
||||
# 创建客户端
|
||||
client = Zep(api_key=api_key)
|
||||
|
||||
try:
|
||||
# 获取图数据
|
||||
nodes, edges = get_graph_data(client, args.graph_id)
|
||||
|
||||
if not nodes:
|
||||
print("警告: 图谱中没有节点")
|
||||
return 1
|
||||
|
||||
# 生成HTML
|
||||
create_html_graph(nodes, edges, args.graph_id, args.output)
|
||||
|
||||
print(f"\n完成! 请在浏览器中打开 {args.output} 查看图谱")
|
||||
return 0
|
||||
|
||||
except Exception as e:
|
||||
print(f"错误: {str(e)}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
exit(main())
|
||||
|
|
@ -1,18 +0,0 @@
|
|||
# Zep Cloud SDK
|
||||
zep-cloud>=2.0.0
|
||||
|
||||
# PDF处理
|
||||
PyMuPDF>=1.24.0
|
||||
|
||||
# Markdown处理
|
||||
markdown>=3.5.0
|
||||
|
||||
# Web可视化界面
|
||||
streamlit>=1.38.0
|
||||
|
||||
# 图可视化
|
||||
pyvis>=0.3.2
|
||||
|
||||
# 环境变量
|
||||
python-dotenv>=1.0.0
|
||||
|
||||
|
|
@ -1,126 +0,0 @@
|
|||
"""
|
||||
文本提取模块
|
||||
支持从 .md, .txt, .pdf 文件中提取纯文本
|
||||
"""
|
||||
|
||||
import os
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
|
||||
def extract_from_txt(file_path: str) -> str:
|
||||
"""从TXT文件提取文本"""
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
return f.read()
|
||||
|
||||
|
||||
def extract_from_md(file_path: str) -> str:
|
||||
"""从Markdown文件提取文本（保留原始格式，不转换HTML）"""
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
return f.read()
|
||||
|
||||
|
||||
def extract_from_pdf(file_path: str) -> str:
|
||||
"""从PDF文件提取文本"""
|
||||
try:
|
||||
import fitz # PyMuPDF
|
||||
except ImportError:
|
||||
raise ImportError("请安装 PyMuPDF: pip install PyMuPDF")
|
||||
|
||||
text_parts = []
|
||||
with fitz.open(file_path) as doc:
|
||||
for page_num, page in enumerate(doc):
|
||||
text = page.get_text()
|
||||
if text.strip():
|
||||
text_parts.append(f"--- 第 {page_num + 1} 页 ---\n{text}")
|
||||
|
||||
return "\n\n".join(text_parts)
|
||||
|
||||
|
||||
def extract_text(file_path: str) -> str:
|
||||
"""
|
||||
根据文件扩展名自动选择提取方法
|
||||
|
||||
Args:
|
||||
file_path: 文件路径
|
||||
|
||||
Returns:
|
||||
提取的纯文本内容
|
||||
|
||||
Raises:
|
||||
ValueError: 不支持的文件格式
|
||||
FileNotFoundError: 文件不存在
|
||||
"""
|
||||
path = Path(file_path)
|
||||
|
||||
if not path.exists():
|
||||
raise FileNotFoundError(f"文件不存在: {file_path}")
|
||||
|
||||
suffix = path.suffix.lower()
|
||||
|
||||
extractors = {
|
||||
'.txt': extract_from_txt,
|
||||
'.md': extract_from_md,
|
||||
'.markdown': extract_from_md,
|
||||
'.pdf': extract_from_pdf,
|
||||
}
|
||||
|
||||
extractor = extractors.get(suffix)
|
||||
if extractor is None:
|
||||
supported = ', '.join(extractors.keys())
|
||||
raise ValueError(f"不支持的文件格式: {suffix}。支持的格式: {supported}")
|
||||
|
||||
return extractor(file_path)
|
||||
|
||||
|
||||
def split_text_into_chunks(text: str, max_chunk_size: int = 8000, overlap: int = 200) -> list[str]:
|
||||
"""
|
||||
将长文本分割成多个小块，适合Zep处理
|
||||
|
||||
Args:
|
||||
text: 原始文本
|
||||
max_chunk_size: 每个块的最大字符数
|
||||
overlap: 块之间的重叠字符数
|
||||
|
||||
Returns:
|
||||
文本块列表
|
||||
"""
|
||||
if len(text) <= max_chunk_size:
|
||||
return [text]
|
||||
|
||||
chunks = []
|
||||
start = 0
|
||||
|
||||
while start < len(text):
|
||||
end = start + max_chunk_size
|
||||
|
||||
# 尝试在句子边界处分割
|
||||
if end < len(text):
|
||||
# 查找最近的句子结束符
|
||||
for sep in ['。', '！', '？', '\n\n', '. ', '! ', '? ']:
|
||||
last_sep = text[start:end].rfind(sep)
|
||||
if last_sep != -1 and last_sep > max_chunk_size * 0.5:
|
||||
end = start + last_sep + len(sep)
|
||||
break
|
||||
|
||||
chunk = text[start:end].strip()
|
||||
if chunk:
|
||||
chunks.append(chunk)
|
||||
|
||||
# 下一个块从重叠位置开始
|
||||
start = end - overlap if end < len(text) else len(text)
|
||||
|
||||
return chunks
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 测试
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
file_path = sys.argv[1]
|
||||
text = extract_text(file_path)
|
||||
print(f"提取了 {len(text)} 个字符")
|
||||
print(f"前500字符:\n{text[:500]}")
|
||||
|
||||
|
||||
|
||||
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