liulidong
/
knowledge_search


			
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							#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Stage6评估结果可视化工具
整合两层评估结果的交互式HTML页面
"""

import json
import os
from datetime import datetime
from typing import List, Dict, Any


def load_data(json_path: str) -> List[Dict[str, Any]]:
    """加载JSON数据"""
    with open(json_path, 'r', encoding='utf-8') as f:
        return json.load(f)


def calculate_statistics(data: List[Dict[str, Any]]) -> Dict[str, Any]:
    """计算统计数据(包括评估结果)"""
    total_features = len(data)
    total_search_words = 0
    searched_count = 0  # 已执行搜索的数量
    not_searched_count = 0  # 未执行搜索的数量
    total_notes = 0
    video_count = 0
    normal_count = 0

    # 评估统计
    total_evaluated_notes = 0
    total_filtered = 0
    match_complete = 0  # 8-10分
    match_similar = 0   # 6-7分
    match_weak = 0      # 5-6分
    match_none = 0      # ≤4分

    for feature in data:
        grouped_results = feature.get('组合评估结果_分组', [])

        for group in grouped_results:
            search_items = group.get('top10_searches', [])
            total_search_words += len(search_items)

            for search_item in search_items:
                search_result = search_item.get('search_result', {})

                # 统计搜索状态
                if search_result:
                    searched_count += 1
                    notes = search_result.get('data', {}).get('data', [])
                    total_notes += len(notes)

                    # 统计视频/图文类型
                    for note in notes:
                        note_type = note.get('note_card', {}).get('type', '')
                        if note_type == 'video':
                            video_count += 1
                        else:
                            normal_count += 1

                    # 统计评估结果
                    evaluation = search_item.get('evaluation_with_filter')
                    if evaluation:
                        total_evaluated_notes += evaluation.get('total_notes', 0)
                        total_filtered += evaluation.get('filtered_count', 0)

                        stats = evaluation.get('statistics', {})
                        match_complete += stats.get('完全匹配(8-10)', 0)
                        match_similar += stats.get('相似匹配(6-7)', 0)
                        match_weak += stats.get('弱相似(5-6)', 0)
                        match_none += stats.get('无匹配(≤4)', 0)
                else:
                    not_searched_count += 1

    # 计算百分比
    total_remaining = total_evaluated_notes - total_filtered if total_evaluated_notes > 0 else 0

    return {
        'total_features': total_features,
        'total_search_words': total_search_words,
        'searched_count': searched_count,
        'not_searched_count': not_searched_count,
        'searched_percentage': round(searched_count / total_search_words * 100, 1) if total_search_words > 0 else 0,
        'total_notes': total_notes,
        'video_count': video_count,
        'normal_count': normal_count,
        'video_percentage': round(video_count / total_notes * 100, 1) if total_notes > 0 else 0,
        'normal_percentage': round(normal_count / total_notes * 100, 1) if total_notes > 0 else 0,

        # 评估统计
        'total_evaluated': total_evaluated_notes,
        'total_filtered': total_filtered,
        'total_remaining': total_remaining,
        'filter_rate': round(total_filtered / total_evaluated_notes * 100, 1) if total_evaluated_notes > 0 else 0,
        'match_complete': match_complete,
        'match_similar': match_similar,
        'match_weak': match_weak,
        'match_none': match_none,
        'complete_rate': round(match_complete / total_remaining * 100, 1) if total_remaining > 0 else 0,
        'similar_rate': round(match_similar / total_remaining * 100, 1) if total_remaining > 0 else 0,
    }


def generate_html(data: List[Dict[str, Any]], stats: Dict[str, Any], output_path: str):
    """生成HTML可视化页面"""

    # 准备数据JSON(用于JavaScript)
    data_json = json.dumps(data, ensure_ascii=False, indent=2)

    html_content = f'''<!DOCTYPE html>
<html lang="zh-CN">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Stage6 评估结果可视化</title>
    <style>
        * {{
            margin: 0;
            padding: 0;
            box-sizing: border-box;
        }}

        body {{
            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
            background: #f5f7fa;
            color: #333;
            overflow-x: hidden;
        }}

        /* 顶部统计面板 */
        .stats-panel {{
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            color: white;
            padding: 20px;
            box-shadow: 0 2px 10px rgba(0,0,0,0.1);
        }}

        .stats-container {{
            max-width: 1400px;
            margin: 0 auto;
        }}

        .stats-row {{
            display: flex;
            justify-content: space-around;
            align-items: center;
            flex-wrap: wrap;
            gap: 15px;
            margin-bottom: 15px;
        }}

        .stats-row:last-child {{
            margin-bottom: 0;
            padding-top: 15px;
            border-top: 1px solid rgba(255,255,255,0.2);
        }}

        .stat-item {{
            text-align: center;
        }}

        .stat-value {{
            font-size: 28px;
            font-weight: bold;
            margin-bottom: 5px;
        }}

        .stat-label {{
            font-size: 12px;
            opacity: 0.9;
        }}

        .stat-item.small .stat-value {{
            font-size: 22px;
        }}

        /* 过滤控制面板 */
        .filter-panel {{
            background: white;
            max-width: 1400px;
            margin: 20px auto;
            padding: 15px 20px;
            border-radius: 8px;
            box-shadow: 0 2px 8px rgba(0,0,0,0.1);
            display: flex;
            align-items: center;
            gap: 20px;
            flex-wrap: wrap;
        }}

        .filter-label {{
            font-weight: 600;
            color: #374151;
        }}

        .filter-buttons {{
            display: flex;
            gap: 10px;
            flex-wrap: wrap;
        }}

        .filter-btn {{
            padding: 6px 12px;
            border: 2px solid #e5e7eb;
            background: white;
            border-radius: 6px;
            cursor: pointer;
            font-size: 13px;
            font-weight: 500;
            transition: all 0.2s;
        }}

        .filter-btn:hover {{
            border-color: #667eea;
            background: #f9fafb;
        }}

        .filter-btn.active {{
            border-color: #667eea;
            background: #667eea;
            color: white;
        }}

        .filter-btn.complete {{
            border-color: #10b981;
        }}
        .filter-btn.complete.active {{
            background: #10b981;
            border-color: #10b981;
        }}

        .filter-btn.similar {{
            border-color: #f59e0b;
        }}
        .filter-btn.similar.active {{
            background: #f59e0b;
            border-color: #f59e0b;
        }}

        .filter-btn.weak {{
            border-color: #f97316;
        }}
        .filter-btn.weak.active {{
            background: #f97316;
            border-color: #f97316;
        }}

        .filter-btn.none {{
            border-color: #ef4444;
        }}
        .filter-btn.none.active {{
            background: #ef4444;
            border-color: #ef4444;
        }}

        .filter-btn.filtered {{
            border-color: #6b7280;
        }}
        .filter-btn.filtered.active {{
            background: #6b7280;
            border-color: #6b7280;
        }}

        /* 主容器 */
        .main-container {{
            display: flex;
            max-width: 1400px;
            margin: 0 auto 20px;
            gap: 20px;
            padding: 0 20px;
            height: calc(100vh - 260px);
        }}

        /* 左侧导航 */
        .left-sidebar {{
            width: 30%;
            background: white;
            border-radius: 8px;
            box-shadow: 0 2px 8px rgba(0,0,0,0.1);
            overflow-y: auto;
            position: sticky;
            top: 20px;
            height: fit-content;
            max-height: calc(100vh - 280px);
        }}

        .feature-group {{
            border-bottom: 1px solid #e5e7eb;
        }}

        .feature-header {{
            padding: 15px 20px;
            background: #f9fafb;
            cursor: pointer;
            user-select: none;
            transition: background 0.2s;
        }}

        .feature-header:hover {{
            background: #f3f4f6;
        }}

        .feature-header.active {{
            background: #667eea;
            color: white;
        }}

        .feature-title {{
            font-size: 16px;
            font-weight: 600;
            margin-bottom: 5px;
        }}

        .feature-meta {{
            font-size: 12px;
            color: #6b7280;
        }}

        .feature-header.active .feature-meta {{
            color: rgba(255,255,255,0.8);
        }}

        .search-words-list {{
            display: none;
            padding: 0;
        }}

        .search-words-list.expanded {{
            display: block;
        }}

        /* Base word分组层 */
        .base-word-group {{
            border-bottom: 1px solid #f3f4f6;
        }}

        .base-word-header {{
            padding: 12px 20px 12px 30px;
            background: #fafbfc;
            cursor: pointer;
            user-select: none;
            transition: all 0.2s;
            border-left: 3px solid transparent;
        }}

        .base-word-header:hover {{
            background: #f3f4f6;
            border-left-color: #a78bfa;
        }}

        .base-word-header.active {{
            background: #f3f4f6;
            border-left-color: #7c3aed;
        }}

        .base-word-title {{
            font-size: 15px;
            font-weight: 600;
            color: #7c3aed;
            margin-bottom: 4px;
        }}

        .base-word-meta {{
            font-size: 11px;
            color: #6b7280;
        }}

        .base-word-desc {{
            padding: 8px 20px 8px 30px;
            background: #fefce8;
            font-size: 12px;
            color: #854d0e;
            line-height: 1.5;
            border-left: 3px solid #fbbf24;
            display: none;
        }}

        .base-word-desc.expanded {{
            display: block;
        }}

        .search-words-sublist {{
            display: none;
        }}

        .search-words-sublist.expanded {{
            display: block;
        }}

        .search-word-item {{
            padding: 12px 20px 12px 50px;
            cursor: pointer;
            border-left: 3px solid transparent;
            transition: all 0.2s;
        }}

        .search-word-item:hover {{
            background: #f9fafb;
            border-left-color: #667eea;
        }}

        .search-word-item.active {{
            background: #ede9fe;
            border-left-color: #7c3aed;
        }}

        .search-word-text {{
            font-size: 14px;
            font-weight: 500;
            color: #374151;
            margin-bottom: 4px;
        }}

        .search-word-score {{
            display: inline-block;
            padding: 2px 8px;
            border-radius: 12px;
            font-size: 11px;
            font-weight: 600;
            margin-left: 8px;
        }}

        .score-high {{
            background: #d1fae5;
            color: #065f46;
        }}

        .score-medium {{
            background: #fef3c7;
            color: #92400e;
        }}

        .score-low {{
            background: #fee2e2;
            color: #991b1b;
        }}

        /* 评估徽章 */
        .eval-badge {{
            display: inline-block;
            padding: 2px 6px;
            border-radius: 10px;
            font-size: 11px;
            font-weight: 600;
            margin-left: 6px;
        }}

        .eval-complete {{
            background: #d1fae5;
            color: #065f46;
            border: 1px solid #10b981;
        }}

        .eval-similar {{
            background: #fef3c7;
            color: #92400e;
            border: 1px solid #f59e0b;
        }}

        .eval-weak {{
            background: #fed7aa;
            color: #9a3412;
            border: 1px solid #f97316;
        }}

        .eval-none {{
            background: #fee2e2;
            color: #991b1b;
            border: 1px solid #ef4444;
        }}

        .eval-filtered {{
            background: #e5e7eb;
            color: #4b5563;
            border: 1px solid #6b7280;
        }}

        .search-word-eval {{
            font-size: 11px;
            color: #6b7280;
            margin-top: 4px;
        }}

        /* 右侧结果区 */
        .right-content {{
            flex: 1;
            overflow-y: auto;
            padding-bottom: 40px;
        }}

        .result-block {{
            background: white;
            border-radius: 8px;
            box-shadow: 0 2px 8px rgba(0,0,0,0.1);
            margin-bottom: 30px;
            padding: 20px;
            scroll-margin-top: 20px;
        }}

        .result-header {{
            margin-bottom: 20px;
            padding-bottom: 15px;
            border-bottom: 2px solid #e5e7eb;
        }}

        .result-title {{
            font-size: 20px;
            font-weight: 600;
            color: #111827;
            margin-bottom: 10px;
        }}

        .result-stats {{
            display: flex;
            gap: 10px;
            font-size: 12px;
            color: #6b7280;
            flex-wrap: wrap;
        }}

        .stat-badge {{
            background: #f3f4f6;
            padding: 4px 10px;
            border-radius: 4px;
        }}

        .stat-badge.eval {{
            font-weight: 600;
        }}

        .stat-badge.eval.complete {{
            background: #d1fae5;
            color: #065f46;
        }}

        .stat-badge.eval.similar {{
            background: #fef3c7;
            color: #92400e;
        }}

        .stat-badge.eval.weak {{
            background: #fed7aa;
            color: #9a3412;
        }}

        .stat-badge.eval.none {{
            background: #fee2e2;
            color: #991b1b;
        }}

        .stat-badge.eval.filtered {{
            background: #e5e7eb;
            color: #4b5563;
        }}

        /* 帖子网格 */
        .notes-grid {{
            display: grid;
            grid-template-columns: repeat(auto-fill, minmax(280px, 1fr));
            gap: 20px;
        }}

        /* 空状态样式 */
        .empty-state {{
            text-align: center;
            padding: 60px 40px;
            color: #6b7280;
        }}

        .empty-icon {{
            font-size: 48px;
            margin-bottom: 16px;
        }}

        .empty-title {{
            font-size: 16px;
            font-weight: 600;
            color: #374151;
            margin-bottom: 8px;
        }}

        .empty-desc {{
            font-size: 14px;
            line-height: 1.6;
            color: #9ca3af;
            max-width: 400px;
            margin: 0 auto;
        }}

        .note-card {{
            border: 3px solid #e5e7eb;
            border-radius: 8px;
            overflow: hidden;
            cursor: pointer;
            transition: all 0.3s;
            background: white;
        }}

        .note-card:hover {{
            transform: translateY(-4px);
            box-shadow: 0 10px 25px rgba(0,0,0,0.15);
        }}

        /* 根据评估分数设置边框颜色 */
        .note-card.eval-complete {{
            border-color: #10b981;
        }}

        .note-card.eval-similar {{
            border-color: #f59e0b;
        }}

        .note-card.eval-weak {{
            border-color: #f97316;
        }}

        .note-card.eval-none {{
            border-color: #ef4444;
        }}

        .note-card.eval-filtered {{
            border-color: #6b7280;
            opacity: 0.6;
        }}

        /* 图片轮播 */
        .image-carousel {{
            position: relative;
            width: 100%;
            height: 280px;
            background: #f3f4f6;
            overflow: hidden;
        }}

        .carousel-images {{
            display: flex;
            height: 100%;
            transition: transform 0.3s ease;
        }}

        .carousel-image {{
            min-width: 100%;
            height: 100%;
            object-fit: cover;
        }}

        .carousel-btn {{
            position: absolute;
            top: 50%;
            transform: translateY(-50%);
            background: rgba(0,0,0,0.5);
            color: white;
            border: none;
            width: 32px;
            height: 32px;
            border-radius: 50%;
            cursor: pointer;
            font-size: 16px;
            display: none;
            align-items: center;
            justify-content: center;
            transition: background 0.2s;
            z-index: 10;
        }}

        .carousel-btn:hover {{
            background: rgba(0,0,0,0.7);
        }}

        .carousel-btn.prev {{
            left: 8px;
        }}

        .carousel-btn.next {{
            right: 8px;
        }}

        .note-card:hover .carousel-btn {{
            display: flex;
        }}

        .carousel-indicators {{
            position: absolute;
            bottom: 10px;
            left: 50%;
            transform: translateX(-50%);
            display: flex;
            gap: 6px;
            z-index: 10;
        }}

        .dot {{
            width: 8px;
            height: 8px;
            border-radius: 50%;
            background: rgba(255,255,255,0.5);
            cursor: pointer;
            transition: all 0.2s;
        }}

        .dot.active {{
            background: white;
            width: 24px;
            border-radius: 4px;
        }}

        .image-counter {{
            position: absolute;
            top: 10px;
            right: 10px;
            background: rgba(0,0,0,0.6);
            color: white;
            padding: 4px 8px;
            border-radius: 4px;
            font-size: 12px;
            z-index: 10;
        }}

        /* 帖子信息 */
        .note-info {{
            padding: 12px;
        }}

        .note-title {{
            font-size: 14px;
            font-weight: 500;
            color: #111827;
            margin-bottom: 8px;
            display: -webkit-box;
            -webkit-line-clamp: 2;
            -webkit-box-orient: vertical;
            overflow: hidden;
            line-height: 1.4;
        }}

        .note-meta {{
            display: flex;
            align-items: center;
            justify-content: space-between;
            font-size: 12px;
            color: #6b7280;
            margin-bottom: 8px;
        }}

        .note-type {{
            padding: 3px 8px;
            border-radius: 4px;
            font-weight: 500;
        }}

        .type-video {{
            background: #dbeafe;
            color: #1e40af;
        }}

        .type-normal {{
            background: #d1fae5;
            color: #065f46;
        }}

        .note-author {{
            display: flex;
            align-items: center;
            gap: 6px;
        }}

        .author-avatar {{
            width: 24px;
            height: 24px;
            border-radius: 50%;
        }}

        /* 评估信息 */
        .note-eval {{
            padding: 8px 12px;
            background: #f9fafb;
            border-top: 1px solid #e5e7eb;
            font-size: 12px;
        }}

        .note-eval-header {{
            display: flex;
            align-items: center;
            justify-content: space-between;
            cursor: pointer;
            user-select: none;
        }}

        .note-eval-score {{
            font-weight: 600;
        }}

        .note-eval-toggle {{
            color: #6b7280;
            font-size: 10px;
        }}

        .note-eval-details {{
            margin-top: 8px;
            padding-top: 8px;
            border-top: 1px solid #e5e7eb;
            display: none;
            line-height: 1.5;
        }}

        .note-eval-details.expanded {{
            display: block;
        }}

        .eval-detail-label {{
            font-weight: 600;
            color: #374151;
            margin-top: 6px;
            margin-bottom: 2px;
        }}

        .eval-detail-label:first-child {{
            margin-top: 0;
        }}

        .eval-detail-text {{
            color: #6b7280;
        }}

        /* 滚动条样式 */
        ::-webkit-scrollbar {{
            width: 8px;
            height: 8px;
        }}

        ::-webkit-scrollbar-track {{
            background: #f1f1f1;
        }}

        ::-webkit-scrollbar-thumb {{
            background: #888;
            border-radius: 4px;
        }}

        ::-webkit-scrollbar-thumb:hover {{
            background: #555;
        }}

        /* 隐藏类 */
        .hidden {{
            display: none !important;
        }}
    </style>
</head>
<body>
    <!-- 统计面板 -->
    <div class="stats-panel">
        <div class="stats-container">
            <div class="stats-row">
                <div class="stat-item">
                    <div class="stat-value">📊 {stats['total_features']}</div>
                    <div class="stat-label">原始特征数</div>
                </div>
                <div class="stat-item">
                    <div class="stat-value">🔍 {stats['total_search_words']}</div>
                    <div class="stat-label">搜索词总数</div>
                </div>
                <div class="stat-item">
                    <div class="stat-value">✅ {stats['searched_count']}</div>
                    <div class="stat-label">已搜索 ({stats['searched_percentage']}%)</div>
                </div>
                <div class="stat-item">
                    <div class="stat-value">⏸️ {stats['not_searched_count']}</div>
                    <div class="stat-label">未搜索</div>
                </div>
                <div class="stat-item">
                    <div class="stat-value">📝 {stats['total_notes']}</div>
                    <div class="stat-label">帖子总数</div>
                </div>
                <div class="stat-item">
                    <div class="stat-value">🎬 {stats['video_count']}</div>
                    <div class="stat-label">视频 ({stats['video_percentage']}%)</div>
                </div>
                <div class="stat-item">
                    <div class="stat-value">📷 {stats['normal_count']}</div>
                    <div class="stat-label">图文 ({stats['normal_percentage']}%)</div>
                </div>
            </div>
            <div class="stats-row">
                <div class="stat-item small">
                    <div class="stat-value">⚡ {stats['total_evaluated']}</div>
                    <div class="stat-label">已评估</div>
                </div>
                <div class="stat-item small">
                    <div class="stat-value">⚫ {stats['total_filtered']}</div>
                    <div class="stat-label">已过滤 ({stats['filter_rate']}%)</div>
                </div>
                <div class="stat-item small">
                    <div class="stat-value">🟢 {stats['match_complete']}</div>
                    <div class="stat-label">完全匹配 ({stats['complete_rate']}%)</div>
                </div>
                <div class="stat-item small">
                    <div class="stat-value">🟡 {stats['match_similar']}</div>
                    <div class="stat-label">相似匹配 ({stats['similar_rate']}%)</div>
                </div>
                <div class="stat-item small">
                    <div class="stat-value">🟠 {stats['match_weak']}</div>
                    <div class="stat-label">弱相似</div>
                </div>
                <div class="stat-item small">
                    <div class="stat-value">🔴 {stats['match_none']}</div>
                    <div class="stat-label">无匹配</div>
                </div>
            </div>
        </div>
    </div>

    <!-- 过滤控制面板 -->
    <div class="filter-panel">
        <span class="filter-label">🔍 筛选显示:</span>
        <div class="filter-buttons">
            <button class="filter-btn active" onclick="filterNotes('all')">全部</button>
            <button class="filter-btn complete" onclick="filterNotes('complete')">🟢 完全匹配</button>
            <button class="filter-btn similar" onclick="filterNotes('similar')">🟡 相似匹配</button>
            <button class="filter-btn weak" onclick="filterNotes('weak')">🟠 弱相似</button>
            <button class="filter-btn none" onclick="filterNotes('none')">🔴 无匹配</button>
            <button class="filter-btn filtered" onclick="filterNotes('filtered')">⚫ 已过滤</button>
        </div>
    </div>

    <!-- 主容器 -->
    <div class="main-container">
        <!-- 左侧导航 -->
        <div class="left-sidebar" id="leftSidebar">
            <!-- 通过JavaScript动态生成 -->
        </div>

        <!-- 右侧结果区 -->
        <div class="right-content" id="rightContent">
            <!-- 通过JavaScript动态生成 -->
        </div>
    </div>

    <script>
        // 数据
        const data = {data_json};
        let currentFilter = 'all';

        // 创建评估映射(使用索引: "featureIdx-groupIdx-swIdx-noteIdx" -> evaluation)
        const noteEvaluations = {{}};
        data.forEach((feature, fIdx) => {{
            const groups = feature['组合评估结果_分组'] || [];
            groups.forEach((group, gIdx) => {{
                const searches = group['top10_searches'] || [];
                searches.forEach((search, sIdx) => {{
                    const evaluation = search['evaluation_with_filter'];
                    if (evaluation && evaluation.notes_evaluation) {{
                        evaluation.notes_evaluation.forEach(noteEval => {{
                            const key = `${{fIdx}}-${{gIdx}}-${{sIdx}}-${{noteEval.note_index}}`;
                            noteEvaluations[key] = noteEval;
                        }});
                    }}
                }});
            }});
        }});

        // 获取评估类别
        function getEvalCategory(noteEval) {{
            if (!noteEval || noteEval['Query相关性'] !== '相关') {{
                return 'filtered';
            }}
            const score = noteEval['综合得分'];
            if (score >= 8) return 'complete';
            if (score >= 6) return 'similar';
            if (score >= 5) return 'weak';
            return 'none';
        }}

        // 渲染左侧导航
        function renderLeftSidebar() {{
            const sidebar = document.getElementById('leftSidebar');
            let html = '';

            data.forEach((feature, featureIdx) => {{
                const groups = feature['组合评估结果_分组'] || [];
                let totalSearches = 0;
                groups.forEach(group => {{
                    totalSearches += (group['top10_searches'] || []).length;
                }});

                // 层级1: 原始特征
                html += `
                    <div class="feature-group">
                        <div class="feature-header" onclick="toggleFeature(${{featureIdx}})" id="feature-header-${{featureIdx}}">
                            <div class="feature-title">${{feature['原始特征名称']}}</div>
                            <div class="feature-meta">
                                ${{feature['来源层级']}} · 权重: ${{feature['权重'].toFixed(2)}} · ${{totalSearches}}个搜索词
                            </div>
                        </div>
                        <div class="search-words-list" id="search-words-${{featureIdx}}">
                `;

                // 层级2: Base word分组
                groups.forEach((group, groupIdx) => {{
                    const baseWord = group['base_word'] || '';
                    const baseSimilarity = group['base_word_similarity'] || 0;
                    const searches = group['top10_searches'] || [];

                    // 获取相关词汇
                    const relatedWords = feature['高相似度候选_按base_word']?.[baseWord] || [];
                    const relatedWordNames = relatedWords.map(w => w['人设特征名称']).slice(0, 10).join('、');

                    html += `
                        <div class="base-word-group">
                            <div class="base-word-header" onclick="toggleBaseWord(${{featureIdx}}, ${{groupIdx}})"
                                 id="base-word-header-${{featureIdx}}-${{groupIdx}}">
                                <div class="base-word-title">🎯 ${{baseWord}}</div>
                                <div class="base-word-meta">相似度: ${{baseSimilarity.toFixed(2)}} · ${{searches.length}}个搜索词</div>
                            </div>
                            <div class="base-word-desc" id="base-word-desc-${{featureIdx}}-${{groupIdx}}">
                                ${{relatedWordNames || '无相关词汇'}}
                            </div>
                            <div class="search-words-sublist" id="search-words-sublist-${{featureIdx}}-${{groupIdx}}">
                    `;

                    // 层级3: 搜索词列表
                    searches.forEach((sw, swIdx) => {{
                        const score = sw.score || 0;
                        const scoreClass = score >= 0.9 ? 'score-high' : score >= 0.7 ? 'score-medium' : 'score-low';
                        const blockId = `block-${{featureIdx}}-${{groupIdx}}-${{swIdx}}`;
                        const sourceWord = sw.source_word || '';

                        // 获取评估统计
                        const evaluation = sw['evaluation_with_filter'];
                        let evalBadges = '';
                        if (evaluation) {{
                            const stats = evaluation.statistics || {{}};
                            const complete = stats['完全匹配(8-10)'] || 0;
                            const similar = stats['相似匹配(6-7)'] || 0;
                            const weak = stats['弱相似(5-6)'] || 0;
                            const none = stats['无匹配(≤4)'] || 0;
                            const filtered = evaluation.filtered_count || 0;

                            if (complete > 0) evalBadges += `<span class="eval-badge eval-complete">🟢${{complete}}</span>`;
                            if (similar > 0) evalBadges += `<span class="eval-badge eval-similar">🟡${{similar}}</span>`;
                            if (weak > 0) evalBadges += `<span class="eval-badge eval-weak">🟠${{weak}}</span>`;
                            if (none > 0) evalBadges += `<span class="eval-badge eval-none">🔴${{none}}</span>`;
                            if (filtered > 0) evalBadges += `<span class="eval-badge eval-filtered">⚫${{filtered}}</span>`;
                        }}

                        html += `
                            <div class="search-word-item" onclick="scrollToBlock('${{blockId}}')"
                                 id="sw-${{featureIdx}}-${{groupIdx}}-${{swIdx}}"
                                 data-block-id="${{blockId}}">
                                <div class="search-word-text">
                                    🔍 ${{sw.search_word}}
                                </div>
                                <div class="search-word-meta" style="font-size:11px;color:#9ca3af;margin-top:2px">
                                    来源: ${{sourceWord}}
                                </div>
                                <div class="search-word-eval">${{evalBadges}}</div>
                            </div>
                        `;
                    }});

                    html += `
                            </div>
                        </div>
                    `;
                }});

                html += `
                        </div>
                    </div>
                `;
            }});

            sidebar.innerHTML = html;
        }}

        // 渲染右侧结果区
        function renderRightContent() {{
            const content = document.getElementById('rightContent');
            let html = '';

            data.forEach((feature, featureIdx) => {{
                const groups = feature['组合评估结果_分组'] || [];

                groups.forEach((group, groupIdx) => {{
                    const searches = group['top10_searches'] || [];

                    searches.forEach((sw, swIdx) => {{
                        const blockId = `block-${{featureIdx}}-${{groupIdx}}-${{swIdx}}`;
                        const hasSearchResult = sw.search_result != null;
                        const searchResult = sw.search_result || {{}};
                        const notes = searchResult.data?.data || [];

                        const videoCount = notes.filter(n => n.note_card?.type === 'video').length;
                        const normalCount = notes.length - videoCount;

                        // 获取评估统计
                        const evaluation = sw['evaluation_with_filter'];
                        let evalStats = '';
                        if (evaluation) {{
                            const stats = evaluation.statistics || {{}};
                            const complete = stats['完全匹配(8-10)'] || 0;
                            const similar = stats['相似匹配(6-7)'] || 0;
                            const weak = stats['弱相似(5-6)'] || 0;
                            const none = stats['无匹配(≤4)'] || 0;
                            const filtered = evaluation.filtered_count || 0;

                            if (complete > 0) evalStats += `<span class="stat-badge eval complete">🟢 完全:${{complete}}</span>`;
                            if (similar > 0) evalStats += `<span class="stat-badge eval similar">🟡 相似:${{similar}}</span>`;
                            if (weak > 0) evalStats += `<span class="stat-badge eval weak">🟠 弱:${{weak}}</span>`;
                            if (none > 0) evalStats += `<span class="stat-badge eval none">🔴 无:${{none}}</span>`;
                            if (filtered > 0) evalStats += `<span class="stat-badge eval filtered">⚫ 过滤:${{filtered}}</span>`;
                        }}

                        // 构建结果块
                        html += `
                            <div class="result-block" id="${{blockId}}">
                                <div class="result-header">
                                    <div class="result-title">${{sw.search_word}}</div>
                                    <div class="result-stats">
                        `;

                        // 根据搜索状态显示不同的统计信息
                        if (!hasSearchResult) {{
                            // 未执行搜索
                            html += `
                                        <span class="stat-badge" style="background:#fef3c7;color:#92400e;font-weight:600">⏸️ 未执行搜索</span>
                            `;
                        }} else if (notes.length === 0) {{
                            // 搜索完成但无结果
                            html += `
                                        <span class="stat-badge">📝 0 条帖子</span>
                                        <span class="stat-badge" style="background:#fee2e2;color:#991b1b;font-weight:600">❌ 未找到匹配</span>
                            `;
                        }} else {{
                            // 正常有结果
                            html += `
                                        <span class="stat-badge">📝 ${{notes.length}} 条帖子</span>
                                        <span class="stat-badge">🎬 ${{videoCount}} 视频</span>
                                        <span class="stat-badge">📷 ${{normalCount}} 图文</span>
                                        ${{evalStats}}
                            `;
                        }}

                        html += `
                                    </div>
                                </div>
                        `;

                        // 根据搜索状态显示不同的内容区域
                        if (!hasSearchResult) {{
                            // 未执行搜索 - 显示空状态消息
                            html += `
                                <div class="empty-state">
                                    <div class="empty-icon">⏸️</div>
                                    <div class="empty-title">该搜索词未执行搜索</div>
                                    <div class="empty-desc">由于搜索次数限制（--max-searches-per-feature 和 --max-searches-per-base-word），该搜索词未被执行</div>
                                </div>
                            `;
                        }} else if (notes.length === 0) {{
                            // 搜索完成但无结果
                            html += `
                                <div class="empty-state">
                                    <div class="empty-icon">❌</div>
                                    <div class="empty-title">搜索完成，但未找到匹配的帖子</div>
                                    <div class="empty-desc">该搜索词已执行，但小红书返回了 0 条结果</div>
                                </div>
                            `;
                        }} else {{
                            // 正常有结果 - 显示帖子网格
                            html += `
                                <div class="notes-grid">
                                    ${{notes.map((note, noteIdx) => renderNoteCard(note, featureIdx, groupIdx, swIdx, noteIdx)).join('')}}
                                </div>
                            `;
                        }}

                        html += `
                            </div>
                        `;
                    }});
                }});
            }});

            content.innerHTML = html;
        }}

        // 渲染单个帖子卡片
        function renderNoteCard(note, featureIdx, groupIdx, swIdx, noteIdx) {{
            const card = note.note_card || {{}};
            const images = card.image_list || [];
            const title = card.display_title || '无标题';
            const noteType = card.type || 'normal';
            const noteId = note.id || '';
            const user = card.user || {{}};
            const userName = user.nick_name || '未知用户';
            const userAvatar = user.avatar || '';

            const carouselId = `carousel-${{featureIdx}}-${{groupIdx}}-${{swIdx}}-${{noteIdx}}`;

            // 获取评估结果(使用索引key)
            const evalKey = `${{featureIdx}}-${{groupIdx}}-${{swIdx}}-${{noteIdx}}`;
            const noteEval = noteEvaluations[evalKey];
            const evalCategory = getEvalCategory(noteEval);
            const evalClass = `eval-${{evalCategory}}`;

            let evalSection = '';
            if (noteEval) {{
                const score = noteEval['综合得分'];
                const scoreEmoji = score >= 8 ? '🟢' : score >= 6 ? '🟡' : score >= 5 ? '🟠' : '🔴';
                const scoreText = score >= 8 ? '完全匹配' : score >= 6 ? '相似匹配' : score >= 5 ? '弱相似' : '无匹配';
                const reasoning = noteEval['评分说明'] || '无';
                const matchingPoints = (noteEval['关键匹配点'] || []).join('、') || '无';

                evalSection = `
                    <div class="note-eval">
                        <div class="note-eval-header" onclick="event.stopPropagation(); toggleEvalDetails('${{carouselId}}')">
                            <span class="note-eval-score">${{scoreEmoji}} ${{scoreText}} (${{score}}分)</span>
                            <span class="note-eval-toggle" id="${{carouselId}}-toggle">▼ 详情</span>
                        </div>
                        <div class="note-eval-details" id="${{carouselId}}-details">
                            <div class="eval-detail-label">评估理由:</div>
                            <div class="eval-detail-text">${{reasoning}}</div>
                            <div class="eval-detail-label">匹配要点:</div>
                            <div class="eval-detail-text">${{matchingPoints}}</div>
                        </div>
                    </div>
                `;
            }} else if (evalCategory === 'filtered') {{
                evalSection = `
                    <div class="note-eval">
                        <div class="note-eval-score">⚫ 已过滤(与搜索无关)</div>
                    </div>
                `;
            }}

            return `
                <div class="note-card ${{evalClass}}" data-eval-category="${{evalCategory}}" onclick="openNote('${{noteId}}')">
                    <div class="image-carousel" id="${{carouselId}}">
                        <div class="carousel-images">
                            ${{images.map(img => `<img class="carousel-image" src="${{img}}" alt="帖子图片" loading="lazy">`).join('')}}
                        </div>
                        ${{images.length > 1 ? `
                            <button class="carousel-btn prev" onclick="event.stopPropagation(); changeImage('${{carouselId}}', -1)">←</button>
                            <button class="carousel-btn next" onclick="event.stopPropagation(); changeImage('${{carouselId}}', 1)">→</button>
                            <div class="carousel-indicators">
                                ${{images.map((_, i) => `<span class="dot ${{i === 0 ? 'active' : ''}}" onclick="event.stopPropagation(); goToImage('${{carouselId}}', ${{i}})"></span>`).join('')}}
                            </div>
                            <span class="image-counter">1/${{images.length}}</span>
                        ` : ''}}
                    </div>
                    <div class="note-info">
                        <div class="note-title">${{title}}</div>
                        <div class="note-meta">
                            <span class="note-type type-${{noteType}}">
                                ${{noteType === 'video' ? '🎬 视频' : '📷 图文'}}
                            </span>
                            <div class="note-author">
                                ${{userAvatar ? `<img class="author-avatar" src="${{userAvatar}}" alt="${{userName}}">` : ''}}
                                <span>${{userName}}</span>
                            </div>
                        </div>
                    </div>
                    ${{evalSection}}
                </div>
            `;
        }}

        // 图片轮播逻辑
        const carouselStates = {{}};

        function changeImage(carouselId, direction) {{
            if (!carouselStates[carouselId]) {{
                carouselStates[carouselId] = {{ currentIndex: 0 }};
            }}

            const carousel = document.getElementById(carouselId);
            const imagesContainer = carousel.querySelector('.carousel-images');
            const images = carousel.querySelectorAll('.carousel-image');
            const dots = carousel.querySelectorAll('.dot');
            const counter = carousel.querySelector('.image-counter');

            let newIndex = carouselStates[carouselId].currentIndex + direction;
            if (newIndex < 0) newIndex = images.length - 1;
            if (newIndex >= images.length) newIndex = 0;

            carouselStates[carouselId].currentIndex = newIndex;
            imagesContainer.style.transform = `translateX(-${{newIndex * 100}}%)`;

            // 更新指示器
            dots.forEach((dot, i) => {{
                dot.classList.toggle('active', i === newIndex);
            }});

            // 更新计数器
            if (counter) {{
                counter.textContent = `${{newIndex + 1}}/${{images.length}}`;
            }}
        }}

        function goToImage(carouselId, index) {{
            if (!carouselStates[carouselId]) {{
                carouselStates[carouselId] = {{ currentIndex: 0 }};
            }}

            const carousel = document.getElementById(carouselId);
            const imagesContainer = carousel.querySelector('.carousel-images');
            const dots = carousel.querySelectorAll('.dot');
            const counter = carousel.querySelector('.image-counter');

            carouselStates[carouselId].currentIndex = index;
            imagesContainer.style.transform = `translateX(-${{index * 100}}%)`;

            // 更新指示器
            dots.forEach((dot, i) => {{
                dot.classList.toggle('active', i === index);
            }});

            // 更新计数器
            if (counter) {{
                counter.textContent = `${{index + 1}}/${{dots.length}}`;
            }}
        }}

        // 展开/折叠特征组
        function toggleFeature(featureIdx) {{
            const searchWordsList = document.getElementById(`search-words-${{featureIdx}}`);
            const featureHeader = document.getElementById(`feature-header-${{featureIdx}}`);

            searchWordsList.classList.toggle('expanded');
            featureHeader.classList.toggle('active');
        }}

        // 展开/折叠base word分组
        function toggleBaseWord(featureIdx, groupIdx) {{
            const baseWordHeader = document.getElementById(`base-word-header-${{featureIdx}}-${{groupIdx}}`);
            const baseWordDesc = document.getElementById(`base-word-desc-${{featureIdx}}-${{groupIdx}}`);
            const searchWordsSublist = document.getElementById(`search-words-sublist-${{featureIdx}}-${{groupIdx}}`);

            baseWordHeader.classList.toggle('active');
            baseWordDesc.classList.toggle('expanded');
            searchWordsSublist.classList.toggle('expanded');
        }}

        // 滚动到指定结果块
        function scrollToBlock(blockId) {{
            const block = document.getElementById(blockId);
            if (block) {{
                block.scrollIntoView({{ behavior: 'smooth', block: 'start' }});

                // 高亮对应的搜索词
                document.querySelectorAll('.search-word-item').forEach(item => {{
                    item.classList.remove('active');
                }});

                document.querySelectorAll(`[data-block-id="${{blockId}}"]`).forEach(item => {{
                    item.classList.add('active');
                }});
            }}
        }}

        // 切换评估详情
        function toggleEvalDetails(carouselId) {{
            const details = document.getElementById(`${{carouselId}}-details`);
            const toggle = document.getElementById(`${{carouselId}}-toggle`);

            if (details && toggle) {{
                details.classList.toggle('expanded');
                toggle.textContent = details.classList.contains('expanded') ? '▲ 收起' : '▼ 详情';
            }}
        }}

        // 过滤帖子
        function filterNotes(category) {{
            currentFilter = category;

            // 更新按钮状态
            document.querySelectorAll('.filter-btn').forEach(btn => {{
                btn.classList.remove('active');
            }});
            event.target.classList.add('active');

            // 过滤帖子卡片
            document.querySelectorAll('.note-card').forEach(card => {{
                const evalCategory = card.getAttribute('data-eval-category');
                if (category === 'all' || evalCategory === category) {{
                    card.classList.remove('hidden');
                }} else {{
                    card.classList.add('hidden');
                }}
            }});

            // 隐藏空的结果块
            document.querySelectorAll('.result-block').forEach(block => {{
                const visibleCards = block.querySelectorAll('.note-card:not(.hidden)');
                if (visibleCards.length === 0) {{
                    block.classList.add('hidden');
                }} else {{
                    block.classList.remove('hidden');
                }}
            }});
        }}

        // 打开小红书帖子
        function openNote(noteId) {{
            if (noteId) {{
                window.open(`https://www.xiaohongshu.com/explore/${{noteId}}`, '_blank');
            }}
        }}

        // 初始化
        document.addEventListener('DOMContentLoaded', () => {{
            renderLeftSidebar();
            renderRightContent();

            // 默认展开第一个特征组和第一个base_word
            if (data.length > 0) {{
                toggleFeature(0);

                // 展开第一个base_word分组
                const firstGroups = data[0]['组合评估结果_分组'];
                if (firstGroups && firstGroups.length > 0) {{
                    toggleBaseWord(0, 0);
                }}
            }}
        }});
    </script>
</body>
</html>
'''

    # 写入文件
    with open(output_path, 'w', encoding='utf-8') as f:
        f.write(html_content)


def main():
    """主函数"""
    # 配置路径
    script_dir = os.path.dirname(os.path.abspath(__file__))
    json_path = os.path.join(script_dir, 'output_v2', 'stage6_with_evaluations.json')
    output_dir = os.path.join(script_dir, 'visualization')
    os.makedirs(output_dir, exist_ok=True)

    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
    output_path = os.path.join(output_dir, f'stage6_interactive_{timestamp}.html')

    # 加载数据
    print(f"📖 加载数据: {json_path}")
    data = load_data(json_path)
    print(f"✓ 加载了 {len(data)} 个原始特征")

    # 计算统计
    print("📊 计算统计数据...")
    stats = calculate_statistics(data)
    print(f"✓ 统计完成:")
    print(f"  - 原始特征: {stats['total_features']}")
    print(f"  - 搜索词总数: {stats['total_search_words']}")
    print(f"  - 已搜索: {stats['searched_count']} ({stats['searched_percentage']}%)")
    print(f"  - 未搜索: {stats['not_searched_count']}")
    print(f"  - 帖子总数: {stats['total_notes']}")
    print(f"  - 视频: {stats['video_count']} ({stats['video_percentage']}%)")
    print(f"  - 图文: {stats['normal_count']} ({stats['normal_percentage']}%)")
    print(f"\n  评估结果:")
    print(f"  - 已评估: {stats['total_evaluated']}")
    print(f"  - 已过滤: {stats['total_filtered']} ({stats['filter_rate']}%)")
    print(f"  - 完全匹配: {stats['match_complete']} ({stats['complete_rate']}%)")
    print(f"  - 相似匹配: {stats['match_similar']} ({stats['similar_rate']}%)")
    print(f"  - 弱相似: {stats['match_weak']}")
    print(f"  - 无匹配: {stats['match_none']}")

    # 生成HTML
    print(f"\n🎨 生成可视化页面...")
    generate_html(data, stats, output_path)
    print(f"✓ 生成完成: {output_path}")

    # 打印访问提示
    print(f"\n🌐 在浏览器中打开查看:")
    print(f"   file://{output_path}")

    return output_path


if __name__ == '__main__':
    main()