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@@ -0,0 +1,1387 @@
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+#!/usr/bin/env python3
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+# -*- coding: utf-8 -*-
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+"""
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+Stage6评估结果可视化工具
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+整合两层评估结果的交互式HTML页面
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+"""
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+
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+import json
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+import os
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+from datetime import datetime
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+from typing import List, Dict, Any
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+
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+
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+def load_data(json_path: str) -> List[Dict[str, Any]]:
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+ """加载JSON数据"""
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+ with open(json_path, 'r', encoding='utf-8') as f:
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+ return json.load(f)
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+
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+
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+def calculate_statistics(data: List[Dict[str, Any]]) -> Dict[str, Any]:
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+ """计算统计数据(包括评估结果)"""
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+ total_features = len(data)
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+ total_search_words = 0
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+ total_notes = 0
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+ video_count = 0
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+ normal_count = 0
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+
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+ # 评估统计
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+ total_evaluated_notes = 0
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+ total_filtered = 0
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+ match_complete = 0 # 8-10分
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+ match_similar = 0 # 6-7分
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+ match_weak = 0 # 5-6分
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+ match_none = 0 # ≤4分
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+
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+ for feature in data:
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+ grouped_results = feature.get('组合评估结果_分组', [])
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+
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+ for group in grouped_results:
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+ search_items = group.get('top10_searches', [])
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+ total_search_words += len(search_items)
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+
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+ for search_item in search_items:
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+ search_result = search_item.get('search_result', {})
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+ notes = search_result.get('data', {}).get('data', [])
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+ total_notes += len(notes)
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+
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+ # 统计视频/图文类型
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+ for note in notes:
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+ note_type = note.get('note_card', {}).get('type', '')
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+ if note_type == 'video':
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+ video_count += 1
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+ else:
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+ normal_count += 1
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+
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+ # 统计评估结果
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+ evaluation = search_item.get('evaluation_with_filter')
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+ if evaluation:
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+ total_evaluated_notes += evaluation.get('total_notes', 0)
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+ total_filtered += evaluation.get('filtered_count', 0)
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+
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+ stats = evaluation.get('statistics', {})
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+ match_complete += stats.get('完全匹配(8-10)', 0)
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+ match_similar += stats.get('相似匹配(6-7)', 0)
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+ match_weak += stats.get('弱相似(5-6)', 0)
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+ match_none += stats.get('无匹配(≤4)', 0)
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+
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+ # 计算百分比
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+ total_remaining = total_evaluated_notes - total_filtered if total_evaluated_notes > 0 else 0
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+
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+ return {
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+ 'total_features': total_features,
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+ 'total_search_words': total_search_words,
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+ 'total_notes': total_notes,
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+ 'video_count': video_count,
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+ 'normal_count': normal_count,
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+ 'video_percentage': round(video_count / total_notes * 100, 1) if total_notes > 0 else 0,
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+ 'normal_percentage': round(normal_count / total_notes * 100, 1) if total_notes > 0 else 0,
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+
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+ # 评估统计
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+ 'total_evaluated': total_evaluated_notes,
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+ 'total_filtered': total_filtered,
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+ 'total_remaining': total_remaining,
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+ 'filter_rate': round(total_filtered / total_evaluated_notes * 100, 1) if total_evaluated_notes > 0 else 0,
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+ 'match_complete': match_complete,
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+ 'match_similar': match_similar,
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+ 'match_weak': match_weak,
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+ 'match_none': match_none,
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+ 'complete_rate': round(match_complete / total_remaining * 100, 1) if total_remaining > 0 else 0,
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+ 'similar_rate': round(match_similar / total_remaining * 100, 1) if total_remaining > 0 else 0,
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+ }
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+
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+
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+def generate_html(data: List[Dict[str, Any]], stats: Dict[str, Any], output_path: str):
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+ """生成HTML可视化页面"""
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+
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+ # 准备数据JSON(用于JavaScript)
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+ data_json = json.dumps(data, ensure_ascii=False, indent=2)
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+
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+ html_content = f'''<!DOCTYPE html>
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+<html lang="zh-CN">
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+<head>
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+ <meta charset="UTF-8">
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
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+ <title>Stage6 评估结果可视化</title>
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+ <style>
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+ * {{
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+ margin: 0;
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+ padding: 0;
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+ box-sizing: border-box;
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+ }}
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+
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+ body {{
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+ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
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+ background: #f5f7fa;
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+ color: #333;
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+ overflow-x: hidden;
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+ }}
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+
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+ /* 顶部统计面板 */
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+ .stats-panel {{
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+ background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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+ color: white;
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+ padding: 20px;
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+ box-shadow: 0 2px 10px rgba(0,0,0,0.1);
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+ }}
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+
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+ .stats-container {{
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+ max-width: 1400px;
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+ margin: 0 auto;
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+ }}
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+
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+ .stats-row {{
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+ display: flex;
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+ justify-content: space-around;
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+ align-items: center;
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+ flex-wrap: wrap;
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+ gap: 15px;
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+ margin-bottom: 15px;
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+ }}
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+
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+ .stats-row:last-child {{
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+ margin-bottom: 0;
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+ padding-top: 15px;
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+ border-top: 1px solid rgba(255,255,255,0.2);
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+ }}
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+
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+ .stat-item {{
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+ text-align: center;
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+ }}
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+
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+ .stat-value {{
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+ font-size: 28px;
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+ font-weight: bold;
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+ margin-bottom: 5px;
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+ }}
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+
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+ .stat-label {{
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+ font-size: 12px;
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+ opacity: 0.9;
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+ }}
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+
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+ .stat-item.small .stat-value {{
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+ font-size: 22px;
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+ }}
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+
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+ /* 过滤控制面板 */
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+ .filter-panel {{
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+ background: white;
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+ max-width: 1400px;
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+ margin: 20px auto;
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+ padding: 15px 20px;
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+ border-radius: 8px;
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+ box-shadow: 0 2px 8px rgba(0,0,0,0.1);
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+ display: flex;
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+ align-items: center;
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+ gap: 20px;
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+ flex-wrap: wrap;
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+ }}
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+
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+ .filter-label {{
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+ font-weight: 600;
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+ color: #374151;
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+ }}
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+
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+ .filter-buttons {{
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+ display: flex;
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+ gap: 10px;
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+ flex-wrap: wrap;
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+ }}
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+
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+ .filter-btn {{
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+ padding: 6px 12px;
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+ border: 2px solid #e5e7eb;
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+ background: white;
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+ border-radius: 6px;
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+ cursor: pointer;
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+ font-size: 13px;
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+ font-weight: 500;
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+ transition: all 0.2s;
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+ }}
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+
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+ .filter-btn:hover {{
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+ border-color: #667eea;
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+ background: #f9fafb;
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+ }}
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+
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+ .filter-btn.active {{
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+ border-color: #667eea;
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+ background: #667eea;
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+ color: white;
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+ }}
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+
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+ .filter-btn.complete {{
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+ border-color: #10b981;
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+ }}
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+ .filter-btn.complete.active {{
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+ background: #10b981;
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+ border-color: #10b981;
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+ }}
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+
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+ .filter-btn.similar {{
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+ border-color: #f59e0b;
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+ }}
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+ .filter-btn.similar.active {{
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+ background: #f59e0b;
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+ border-color: #f59e0b;
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+ }}
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+
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+ .filter-btn.weak {{
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+ border-color: #f97316;
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+ }}
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+ .filter-btn.weak.active {{
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+ background: #f97316;
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+ border-color: #f97316;
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+ }}
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+
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+ .filter-btn.none {{
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+ border-color: #ef4444;
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+ }}
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+ .filter-btn.none.active {{
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+ background: #ef4444;
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+ border-color: #ef4444;
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+ }}
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+
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+ .filter-btn.filtered {{
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+ border-color: #6b7280;
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+ }}
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+ .filter-btn.filtered.active {{
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+ background: #6b7280;
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+ border-color: #6b7280;
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+ }}
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+
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+ /* 主容器 */
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+ .main-container {{
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+ display: flex;
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+ max-width: 1400px;
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+ margin: 0 auto 20px;
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+ gap: 20px;
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+ padding: 0 20px;
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+ height: calc(100vh - 260px);
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+ }}
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+
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+ /* 左侧导航 */
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+ .left-sidebar {{
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+ width: 30%;
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+ background: white;
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+ border-radius: 8px;
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+ box-shadow: 0 2px 8px rgba(0,0,0,0.1);
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+ overflow-y: auto;
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+ position: sticky;
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+ top: 20px;
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+ height: fit-content;
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+ max-height: calc(100vh - 280px);
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+ }}
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+
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+ .feature-group {{
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+ border-bottom: 1px solid #e5e7eb;
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+ }}
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+
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+ .feature-header {{
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+ padding: 15px 20px;
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+ background: #f9fafb;
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+ cursor: pointer;
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+ user-select: none;
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+ transition: background 0.2s;
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+ }}
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+
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+ .feature-header:hover {{
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+ background: #f3f4f6;
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+ }}
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+
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+ .feature-header.active {{
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+ background: #667eea;
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+ color: white;
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+ }}
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+
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+ .feature-title {{
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+ font-size: 16px;
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+ font-weight: 600;
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+ margin-bottom: 5px;
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+ }}
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+
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+ .feature-meta {{
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+ font-size: 12px;
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+ color: #6b7280;
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+ }}
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+
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+ .feature-header.active .feature-meta {{
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+ color: rgba(255,255,255,0.8);
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+ }}
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+
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+ .search-words-list {{
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+ display: none;
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+ padding: 0;
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+ }}
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+
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+ .search-words-list.expanded {{
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+ display: block;
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+ }}
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+
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+ /* Base word分组层 */
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+ .base-word-group {{
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+ border-bottom: 1px solid #f3f4f6;
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+ }}
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+
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+ .base-word-header {{
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+ padding: 12px 20px 12px 30px;
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+ background: #fafbfc;
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+ cursor: pointer;
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+ user-select: none;
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+ transition: all 0.2s;
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+ border-left: 3px solid transparent;
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+ }}
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+
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+ .base-word-header:hover {{
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+ background: #f3f4f6;
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+ border-left-color: #a78bfa;
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+ }}
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+
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+ .base-word-header.active {{
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+ background: #f3f4f6;
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+ border-left-color: #7c3aed;
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+ }}
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+
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+ .base-word-title {{
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+ font-size: 15px;
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+ font-weight: 600;
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+ color: #7c3aed;
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+ margin-bottom: 4px;
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+ }}
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+
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+ .base-word-meta {{
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+ font-size: 11px;
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+ color: #6b7280;
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+ }}
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+
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+ .base-word-desc {{
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+ padding: 8px 20px 8px 30px;
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+ background: #fefce8;
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+ font-size: 12px;
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+ color: #854d0e;
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+ line-height: 1.5;
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+ border-left: 3px solid #fbbf24;
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+ display: none;
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+ }}
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+
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+ .base-word-desc.expanded {{
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+ display: block;
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+ }}
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+
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+ .search-words-sublist {{
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+ display: none;
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+ }}
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+
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+ .search-words-sublist.expanded {{
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+ display: block;
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+ }}
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+
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+ .search-word-item {{
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+ padding: 12px 20px 12px 50px;
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+ cursor: pointer;
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+ border-left: 3px solid transparent;
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+ transition: all 0.2s;
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+ }}
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+
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+ .search-word-item:hover {{
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+ background: #f9fafb;
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+ border-left-color: #667eea;
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+ }}
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+
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+ .search-word-item.active {{
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+ background: #ede9fe;
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+ border-left-color: #7c3aed;
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+ }}
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+
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+ .search-word-text {{
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+ font-size: 14px;
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+ font-weight: 500;
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+ color: #374151;
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+ margin-bottom: 4px;
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+ }}
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+
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+ .search-word-score {{
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+ display: inline-block;
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+ padding: 2px 8px;
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+ border-radius: 12px;
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+ font-size: 11px;
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+ font-weight: 600;
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+ margin-left: 8px;
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+ }}
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+
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+ .score-high {{
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+ background: #d1fae5;
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+ color: #065f46;
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+ }}
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+
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+ .score-medium {{
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+ background: #fef3c7;
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+ color: #92400e;
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+ }}
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+
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+ .score-low {{
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+ background: #fee2e2;
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+ color: #991b1b;
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+ }}
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+
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+ /* 评估徽章 */
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+ .eval-badge {{
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+ display: inline-block;
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+ padding: 2px 6px;
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+ border-radius: 10px;
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+ font-size: 11px;
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+ font-weight: 600;
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+ margin-left: 6px;
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+ }}
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+
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+ .eval-complete {{
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+ background: #d1fae5;
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+ color: #065f46;
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+ border: 1px solid #10b981;
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+ }}
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|
|
+
|
|
|
+ .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;
|
|
|
+ }}
|
|
|
+
|
|
|
+ .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">搜索词数</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">视频类型 ({stats['video_percentage']}%)</div>
|
|
|
+ </div>
|
|
|
+ <div class="stat-item">
|
|
|
+ <div class="stat-value">📷 {stats['normal_count']}</div>
|
|
|
+ <div class="stat-label">图文类型 ({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}}
|
|
|
+ <span class="search-word-score ${{scoreClass}}">${{score.toFixed(2)}}</span>
|
|
|
+ </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}}-${{swIdx}}`;
|
|
|
+ const searchResult = sw.search_result || {{}};
|
|
|
+ const notes = searchResult.data?.data || [];
|
|
|
+
|
|
|
+ const videoCount = notes.filter(n => n.note_card?.type === 'video').length;
|
|
|
+ const normalCount = notes.length - videoCount;
|
|
|
+
|
|
|
+ // 获取评估统计
|
|
|
+ const evaluation = sw['evaluation_with_filter'];
|
|
|
+ let evalStats = '';
|
|
|
+ if (evaluation) {{
|
|
|
+ const stats = evaluation.statistics || {{}};
|
|
|
+ const complete = stats['完全匹配(8-10)'] || 0;
|
|
|
+ const similar = stats['相似匹配(6-7)'] || 0;
|
|
|
+ const weak = stats['弱相似(5-6)'] || 0;
|
|
|
+ const none = stats['无匹配(≤4)'] || 0;
|
|
|
+ const filtered = evaluation.filtered_count || 0;
|
|
|
+
|
|
|
+ if (complete > 0) evalStats += `<span class="stat-badge eval complete">🟢 完全:${{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>`;
|
|
|
+ }}
|
|
|
+
|
|
|
+ html += `
|
|
|
+ <div class="result-block" id="${{blockId}}">
|
|
|
+ <div class="result-header">
|
|
|
+ <div class="result-title">${{sw.search_word}}</div>
|
|
|
+ <div class="result-stats">
|
|
|
+ <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}}
|
|
|
+ </div>
|
|
|
+ </div>
|
|
|
+ <div class="notes-grid">
|
|
|
+ ${{notes.map((note, noteIdx) => renderNoteCard(note, featureIdx, groupIdx, swIdx, noteIdx)).join('')}}
|
|
|
+ </div>
|
|
|
+ </div>
|
|
|
+ `;
|
|
|
+ }});
|
|
|
+ }});
|
|
|
+ }});
|
|
|
+
|
|
|
+ content.innerHTML = html;
|
|
|
+ }}
|
|
|
+
|
|
|
+ // 渲染单个帖子卡片
|
|
|
+ function renderNoteCard(note, featureIdx, groupIdx, swIdx, noteIdx) {{
|
|
|
+ const card = note.note_card || {{}};
|
|
|
+ const images = card.image_list || [];
|
|
|
+ const title = card.display_title || '无标题';
|
|
|
+ const noteType = card.type || 'normal';
|
|
|
+ const noteId = note.id || '';
|
|
|
+ const user = card.user || {{}};
|
|
|
+ const userName = user.nick_name || '未知用户';
|
|
|
+ const userAvatar = user.avatar || '';
|
|
|
+
|
|
|
+ const carouselId = `carousel-${{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}}-${{groupIdx}}`);
|
|
|
+
|
|
|
+ baseWordHeader.classList.toggle('active');
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|
|
+ baseWordDesc.classList.toggle('expanded');
|
|
|
+ searchWordsSublist.classList.toggle('expanded');
|
|
|
+ }}
|
|
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+
|
|
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+ // 滚动到指定结果块
|
|
|
+ function scrollToBlock(blockId) {{
|
|
|
+ const block = document.getElementById(blockId);
|
|
|
+ if (block) {{
|
|
|
+ block.scrollIntoView({{ behavior: 'smooth', block: 'start' }});
|
|
|
+
|
|
|
+ // 高亮对应的搜索词
|
|
|
+ document.querySelectorAll('.search-word-item').forEach(item => {{
|
|
|
+ item.classList.remove('active');
|
|
|
+ }});
|
|
|
+
|
|
|
+ document.querySelectorAll(`[data-block-id="${{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: {stats['total_search_words']}")
|
|
|
+ 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()
|
刘立冬