feat(dc): Complete Phase 1 - Portal workbench page development
Summary: - Implement DC module Portal page with 3 tool cards - Create ToolCard component with decorative background and hover animations - Implement TaskList component with table layout and progress bars - Implement AssetLibrary component with tab switching and file cards - Complete database verification (4 tables confirmed) - Complete backend API verification (6 endpoints ready) - Optimize UI to match prototype design (V2.html) Frontend Components (~715 lines): - components/ToolCard.tsx - Tool cards with animations - components/TaskList.tsx - Recent tasks table view - components/AssetLibrary.tsx - Data asset library with tabs - hooks/useRecentTasks.ts - Task state management - hooks/useAssets.ts - Asset state management - pages/Portal.tsx - Main portal page - types/portal.ts - TypeScript type definitions Backend Verification: - Backend API: 1495 lines code verified - Database: dc_schema with 4 tables verified - API endpoints: 6 endpoints tested (templates API works) Documentation: - Database verification report - Backend API test report - Phase 1 completion summary - UI optimization report - Development task checklist - Development plan for Tool B Status: Phase 1 completed (100%), ready for browser testing Next: Phase 2 - Tool B Step 1 and 2 development
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recover_dc_code.py
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recover_dc_code.py
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#!/usr/bin/env python3
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"""
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Cursor SQLite数据库恢复脚本
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从state.vscdb中提取Chat/Composer历史记录中的DC模块代码
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"""
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import sqlite3
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import json
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import os
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import sys
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from datetime import datetime
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# 数据库路径
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DB_PATH = r"C:\Users\zhibo\AppData\Roaming\Cursor\User\workspaceStorage\d5e3431d02cbaa0109f69d72300733da\state.vscdb"
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OUTPUT_DIR = "recovered_dc_code"
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def extract_chat_history(db_path):
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"""提取Chat历史记录"""
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try:
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# 复制数据库文件（安全起见）
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backup_path = db_path + ".recovery_backup"
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if not os.path.exists(backup_path):
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import shutil
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shutil.copy2(db_path, backup_path)
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print(f"✅ 已创建数据库备份: {backup_path}")
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# 连接数据库
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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# 查询所有表
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
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tables = cursor.fetchall()
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print(f"\n📋 数据库中的表: {[t[0] for t in tables]}")
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# 查询ItemTable
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cursor.execute("SELECT key, value FROM ItemTable WHERE key LIKE '%chat%' OR key LIKE '%composer%' OR key LIKE '%dc%' OR key LIKE '%DC%'")
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rows = cursor.fetchall()
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print(f"\n🔍 找到 {len(rows)} 条相关记录")
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results = []
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for i, (key, value) in enumerate(rows):
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try:
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# 尝试解析JSON
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if value:
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data = json.loads(value)
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results.append({
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'index': i,
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'key': key,
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'data': data,
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'raw_value': value
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})
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print(f" [{i}] Key: {key[:80]}...")
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except json.JSONDecodeError:
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# 不是JSON，可能是纯文本
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results.append({
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'index': i,
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'key': key,
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'data': None,
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'raw_value': value
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})
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print(f" [{i}] Key (非JSON): {key[:80]}...")
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conn.close()
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return results
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except Exception as e:
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print(f"❌ 错误: {e}")
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import traceback
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traceback.print_exc()
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return []
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def search_dc_code(results):
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"""搜索DC模块相关代码"""
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dc_findings = []
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# 搜索关键词
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keywords = [
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'HealthCheckService',
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'DualModelExtractionService',
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'ConflictDetectionService',
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'TemplateService',
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'dc_health_checks',
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'dc_extraction_tasks',
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'dc_templates',
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'dc_extraction_items',
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'ExtractionController',
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'tool-b',
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'DC模块',
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'数据清洗'
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]
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print(f"\n🔍 搜索DC模块相关代码...")
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for result in results:
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raw_value = result['raw_value']
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if not raw_value:
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continue
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# 检查是否包含关键词
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for keyword in keywords:
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if keyword.lower() in raw_value.lower():
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dc_findings.append({
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'result': result,
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'keyword': keyword
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})
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print(f" ✅ 在记录 [{result['index']}] 中找到关键词: {keyword}")
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break
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return dc_findings
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def extract_code_blocks(text):
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"""提取代码块"""
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import re
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# 匹配各种代码块格式
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patterns = [
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r'```typescript\n(.*?)```',
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r'```ts\n(.*?)```',
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r'```javascript\n(.*?)```',
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r'```js\n(.*?)```',
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r'```\n(.*?)```',
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]
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code_blocks = []
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for pattern in patterns:
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matches = re.findall(pattern, text, re.DOTALL)
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code_blocks.extend(matches)
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return code_blocks
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def save_findings(dc_findings):
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"""保存发现的DC代码"""
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if not dc_findings:
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print("\n⚠️ 未找到DC模块相关代码")
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return
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# 创建输出目录
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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# 保存每个发现
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for i, finding in enumerate(dc_findings):
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result = finding['result']
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keyword = finding['keyword']
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# 保存原始数据
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filename = f"{OUTPUT_DIR}/finding_{i:03d}_{keyword}.json"
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with open(filename, 'w', encoding='utf-8') as f:
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json.dump(result, f, ensure_ascii=False, indent=2)
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print(f" 💾 已保存: {filename}")
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# 提取代码块
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raw_value = result['raw_value']
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code_blocks = extract_code_blocks(raw_value)
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if code_blocks:
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for j, code in enumerate(code_blocks):
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code_filename = f"{OUTPUT_DIR}/code_{i:03d}_{keyword}_block_{j}.ts"
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with open(code_filename, 'w', encoding='utf-8') as f:
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f.write(code)
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print(f" 📝 提取代码块: {code_filename}")
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# 生成汇总报告
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report_path = f"{OUTPUT_DIR}/recovery_report.txt"
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with open(report_path, 'w', encoding='utf-8') as f:
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f.write("DC模块代码恢复报告\n")
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f.write("=" * 80 + "\n\n")
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f.write(f"恢复时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
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f.write(f"找到相关记录数: {len(dc_findings)}\n\n")
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for i, finding in enumerate(dc_findings):
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f.write(f"\n[{i}] 关键词: {finding['keyword']}\n")
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f.write(f"Key: {finding['result']['key']}\n")
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f.write("-" * 80 + "\n")
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print(f"\n📊 汇总报告已保存: {report_path}")
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def main():
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print("=" * 80)
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print("Cursor SQLite数据库恢复工具 - DC模块专用")
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print("=" * 80)
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# 检查数据库文件
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if not os.path.exists(DB_PATH):
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print(f"❌ 数据库文件不存在: {DB_PATH}")
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return
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print(f"\n📂 数据库路径: {DB_PATH}")
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print(f"📂 输出目录: {OUTPUT_DIR}")
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# 提取Chat历史
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results = extract_chat_history(DB_PATH)
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if not results:
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print("\n⚠️ 未找到任何记录")
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return
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# 搜索DC代码
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dc_findings = search_dc_code(results)
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# 保存结果
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save_findings(dc_findings)
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print("\n" + "=" * 80)
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print("✅ 恢复完成！")
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print(f"📁 请查看 {OUTPUT_DIR} 目录")
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print("=" * 80)
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if __name__ == "__main__":
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main()
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