Ubuntu
446 lines
14 KiB
Python
446 lines
14 KiB
Python
#!/usr/bin/env python3
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"""
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完整集成测试
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测试oh-my-writing-skill与IT资讯系统的集成效果
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"""
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import os
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import sys
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import json
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import tempfile
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from pathlib import Path
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# 添加路径
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sys.path.append('/home/ubuntu/.nanobot/workspace/skills/xiaohongshu_integration')
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def test_oh_my_writing_converter():
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"""测试oh-my-writing-skill转换器"""
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print("🧪 测试oh-my-writing-skill转换器...")
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try:
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from oh_my_writing_converter import OhMyWritingConverter
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# 测试文章
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test_content = """# Elasticsearch 9.3.0 发布，增强AI工具和OTel支持
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Elastic公司近日发布了Elasticsearch 9.3.0版本，这是其开源搜索和分析引擎的最新更新。
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## 主要新功能
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### 1. AI工具增强
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- 新的向量搜索功能，支持更精确的语义搜索
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- 改进的机器学习模型集成
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- 增强的异常检测算法
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### 2. OpenTelemetry支持
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- 原生OTel数据收集
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- 改进的分布式追踪
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- 更好的可观测性集成
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### 3. 性能优化
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- 查询速度提升30%
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- 内存使用减少20%
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- 索引压缩率提高15%
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## 技术细节
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基于Lucene 9.10.0构建，支持JDK 21，兼容Kubernetes 1.28，新增多个REST API端点。
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## 应用场景
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- 企业搜索
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- 日志分析
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- 安全监控
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- 业务智能
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Elastic 9.3.0现已提供下载，企业用户可以通过Elastic Cloud立即使用。"""
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converter = OhMyWritingConverter()
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result = converter.convert_to_xiaohongshu(test_content, "Elasticsearch 9.3.0 发布")
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print(f"✅ 转换成功")
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print(f" 优化标题: {result.title}")
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print(f" 内容长度: {len(result.content)} 字符")
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print(f" 生成标签: {result.tags}")
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print(f" 封面建议: {len(result.cover_suggestions)} 条")
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# 显示部分内容
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print("\n📝 转换后的内容（前200字符）:")
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print("-" * 60)
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print(result.content[:200] + "...")
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print("-" * 60)
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return True
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except Exception as e:
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print(f"❌ 转换器测试失败: {e}")
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return False
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def test_humanizer_cn():
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"""测试中文去AI化"""
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print("\n🧪 测试中文去AI化...")
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try:
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from humanizer_cn import HumanizerCN
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# AI痕迹明显的文本
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ai_text = """该软件的发布标志着人工智能领域的一个重要里程碑，彰显了公司在技术创新方面的不懈追求。此外，值得一提的是，该产品具有高性能、低功耗、易扩展三大优势。业内专家普遍认为，这将对整个行业产生深远影响。尽管面临诸多挑战，但我们有理由相信，未来可期。"""
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humanizer = HumanizerCN()
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result = humanizer.analyze_and_humanize(ai_text)
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print(f"✅ 去AI化成功")
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print(f" 检测到AI模式: {result['detection']['total_patterns']} 处")
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print(f" 原文长度: {result['stats']['original_length']} 字符")
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print(f" 处理后长度: {result['stats']['humanized_length']} 字符")
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print(f" 长度变化: {result['stats']['length_change_percent']}%")
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# 显示处理后的文本
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print("\n📝 处理后的文本:")
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print("-" * 60)
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print(result['humanized_text'])
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print("-" * 60)
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return True
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except Exception as e:
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print(f"❌ 去AI化测试失败: {e}")
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return False
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def test_content_converter_integration():
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"""测试内容转换器集成"""
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print("\n🧪 测试内容转换器集成...")
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try:
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from content_converter import ContentConverter, Article
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# 创建测试文章
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article = Article(
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title="微软发布Windows 12预览版，全面集成AI助手",
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content="""微软近日向开发者发布了Windows 12的早期预览版本，这是其操作系统的重要更新。
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核心特性：
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1. AI助手深度集成
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- Copilot成为系统级助手
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- 智能文件管理
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- 自动化工作流
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2. 性能大幅提升
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- 启动速度加快40%
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- 内存管理优化
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- 电池续航延长
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3. 安全增强
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- 新的AI威胁检测
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- 硬件级安全芯片支持
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- 零信任架构
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4. 开发者工具
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- 新的AI开发框架
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- 改进的WSL 3.0
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- 云原生开发支持
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技术亮点：
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- 基于AI的界面自适应
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- 跨设备无缝同步
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- 新的应用商店
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- 改进的游戏模式
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发布时间表：
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• 2026年Q2：开发者预览
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• 2026年Q3：公开测试
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• 2026年Q4：正式发布
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Windows 12将免费提供给Windows 10/11用户升级。""",
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source="WIRED",
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url="https://www.wired.com/story/windows-12-preview",
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images=["windows12_ui.jpg", "ai_demo.png"],
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publish_date="2026-03-14",
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author="科技记者",
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category="操作系统"
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)
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converter = ContentConverter()
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result = converter.to_xiaohongshu(article)
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print(f"✅ 集成转换成功")
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print(f" 内容长度: {len(result)} 字符")
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# 检查是否使用了oh-my-writing-skill
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if "姐妹们" in result or "家人们" in result or "朋友们" in result:
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print(f" ✅ 检测到oh-my-writing-skill风格")
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else:
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print(f" ⚠️ 未检测到oh-my-writing-skill风格，可能使用了基础转换")
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# 显示部分内容
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print("\n📝 转换后的内容（前300字符）:")
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print("-" * 60)
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print(result[:300] + "...")
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print("-" * 60)
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return True
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except Exception as e:
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print(f"❌ 内容转换器测试失败: {e}")
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return False
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def test_xiaohongshu_publisher_integration():
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"""测试小红书发布器集成"""
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print("\n🧪 测试小红书发布器集成...")
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try:
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from xiaohongshu_publisher import XiaohongshuPublisher
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# 测试文章数据
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article_data = {
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'title': 'AI写作工具对比评测',
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'content': '本文对比了几款主流的AI写作工具，包括Claude、ChatGPT和Notion AI。',
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'source': 'TechReview',
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'tags': ['AI', '写作工具', '效率提升']
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}
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publisher = XiaohongshuPublisher()
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# 测试格式转换
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formatted = publisher._format_xiaohongshu_content(
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article_data['title'],
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article_data['content'],
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article_data['source'],
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article_data['tags']
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)
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print(f"✅ 发布器格式转换成功")
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print(f" 内容长度: {len(formatted)} 字符")
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# 检查是否使用了oh-my-writing-skill
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if "姐妹们" in formatted or "家人们" in formatted or "朋友们" in formatted:
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print(f" ✅ 检测到oh-my-writing-skill风格")
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else:
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print(f" ⚠️ 未检测到oh-my-writing-skill风格")
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# 显示部分内容
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print("\n📝 格式化后的内容（前200字符）:")
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print("-" * 60)
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print(formatted[:200] + "...")
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print("-" * 60)
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return True
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except Exception as e:
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print(f"❌ 发布器测试失败: {e}")
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return False
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def test_it_system_integration():
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"""测试IT系统集成"""
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print("\n🧪 测试IT系统集成...")
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# 检查配置文件
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config_file = "/home/ubuntu/.nanobot/workspace/skills/xiaohongshu_integration/oh_my_writing_config.json"
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if os.path.exists(config_file):
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with open(config_file, 'r', encoding='utf-8') as f:
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config = json.load(f)
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print(f"✅ 集成配置文件存在")
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print(f" 启用状态: {config['oh_my_writing_integration']['enabled']}")
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print(f" 集成日期: {config['oh_my_writing_integration']['integration_date']}")
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integrated_skills = config['oh_my_writing_integration']['integrated_skills']
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print(f" 已集成技能: {len(integrated_skills)} 个")
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for skill in integrated_skills:
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print(f" • {skill['name']} ({skill['id']})")
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return True
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else:
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print(f"❌ 集成配置文件不存在: {config_file}")
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return False
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def test_scheduler_integration():
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"""测试调度脚本集成"""
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print("\n🧪 测试调度脚本集成...")
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scheduler_file = "/home/ubuntu/.nanobot/workspace/InformationCrawler/main_scheduler_with_xhs.sh"
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if os.path.exists(scheduler_file):
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with open(scheduler_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# 检查是否集成了oh-my-writing-skill
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if 'oh-my-writing-skill' in content or 'oh_my_writing' in content:
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print(f"✅ 调度脚本已集成oh-my-writing-skill")
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# 提取相关部分
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lines = content.split('\n')
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for i, line in enumerate(lines):
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if 'oh-my-writing-skill' in line or 'oh_my_writing' in line:
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print(f" 第{i+1}行: {line.strip()}")
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return True
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else:
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print(f"❌ 调度脚本未集成oh-my-writing-skill")
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return False
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else:
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print(f"❌ 调度脚本不存在: {scheduler_file}")
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return False
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def create_integration_summary():
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"""创建集成总结"""
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print("\n" + "=" * 80)
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print("🎯 oh-my-writing-skill 集成总结")
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print("=" * 80)
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summary = {
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'oh_my_writing_converter': test_oh_my_writing_converter(),
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'humanizer_cn': test_humanizer_cn(),
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'content_converter_integration': test_content_converter_integration(),
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'xiaohongshu_publisher_integration': test_xiaohongshu_publisher_integration(),
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'it_system_integration': test_it_system_integration(),
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'scheduler_integration': test_scheduler_integration()
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}
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print("\n📊 集成测试结果:")
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print("-" * 40)
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success_count = 0
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total_count = len(summary)
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for test_name, result in summary.items():
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status = "✅" if result else "❌"
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if result:
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success_count += 1
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print(f"{status} {test_name}")
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print(f"\n🎯 总体成功率: {success_count}/{total_count} ({success_count/total_count*100:.1f}%)")
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if success_count == total_count:
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print("\n🎉 所有测试通过！oh-my-writing-skill已完全集成！")
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elif success_count >= total_count * 0.7:
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print(f"\n⚠️ 大部分测试通过 ({success_count}/{total_count})，部分功能需要检查")
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else:
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print(f"\n❌ 集成存在问题，只有 {success_count}/{total_count} 个测试通过")
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# 建议
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print("\n💡 建议:")
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if not summary['scheduler_integration']:
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print("1. 检查调度脚本集成，确保oh-my-writing-skill优化步骤已添加")
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if not summary['content_converter_integration']:
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print("2. 检查content_converter.py的集成代码")
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if not summary['humanizer_cn']:
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print("3. 检查humanizer_cn.py的实现")
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print("\n🚀 明天16:00，IT资讯系统将自动:")
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print(" 1. 抓取最新IT资讯")
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print(" 2. 使用oh-my-writing-skill优化内容")
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print(" 3. 去AI化处理，让文章更自然")
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print(" 4. 转换为小红书风格格式")
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print(" 5. 发布到小红书")
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print(" 6. 发送邮件到QQ邮箱")
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print("\n" + "=" * 80)
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def main():
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"""主函数"""
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print("🚀 oh-my-writing-skill 完整集成测试")
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print("=" * 80)
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# 检查技能目录
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skill_dir = "/home/ubuntu/oh-my-writing-skill"
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if not os.path.exists(skill_dir):
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print(f"❌ oh-my-writing-skill目录不存在: {skill_dir}")
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print("请确保已下载技能到该目录")
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return
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print(f"✅ oh-my-writing-skill目录存在: {skill_dir}")
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# 执行测试
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create_integration_summary()
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# 生成测试报告
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report_file = "/home/ubuntu/.nanobot/workspace/skills/xiaohongshu_integration/integration_test_report.md"
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report = f"""# oh-my-writing-skill 集成测试报告
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## 测试时间
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{os.popen('date').read().strip()}
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## 测试环境
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- 系统: {os.popen('uname -a').read().strip()}
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- Python: {os.popen('python3 --version').read().strip()}
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- 技能目录: {skill_dir}
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- 集成目录: /home/ubuntu/.nanobot/workspace/skills/xiaohongshu_integration
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## 测试结果
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### 1. oh-my-writing-skill转换器
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- 状态: {'✅ 通过' if test_oh_my_writing_converter() else '❌ 失败'}
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- 功能: 将通用文章转换为小红书格式
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### 2. 中文去AI化
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- 状态: {'✅ 通过' if test_humanizer_cn() else '❌ 失败'}
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- 功能: 消除AI写作痕迹，让文章更自然
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### 3. 内容转换器集成
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- 状态: {'✅ 通过' if test_content_converter_integration() else '❌ 失败'}
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- 功能: 自动选择最佳转换方式
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### 4. 小红书发布器集成
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- 状态: {'✅ 通过' if test_xiaohongshu_publisher_integration() else '❌ 失败'}
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- 功能: 集成oh-my-writing-skill风格
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### 5. IT系统集成
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- 状态: {'✅ 通过' if test_it_system_integration() else '❌ 失败'}
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- 功能: 配置文件集成
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### 6. 调度脚本集成
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- 状态: {'✅ 通过' if test_scheduler_integration() else '❌ 失败'}
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- 功能: 自动化流程集成
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## 总体评估
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集成完成度: {'高' if sum([test_oh_my_writing_converter(), test_humanizer_cn(), test_content_converter_integration(), test_xiaohongshu_publisher_integration(), test_it_system_integration(), test_scheduler_integration()]) >= 5 else '中'}
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## 使用方式
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### 手动测试
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```bash
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# 测试转换器
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cd /home/ubuntu/.nanobot/workspace/skills/xiaohongshu_integration
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python3 oh_my_writing_converter.py test
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# 测试去AI化
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python3 humanizer_cn.py test
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# 测试集成
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python3 test_full_integration.py
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```
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### 自动运行
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系统已配置为每天16:00自动运行，包含：
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1. IT资讯抓取
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2. oh-my-writing-skill优化
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3. 小红书发布
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4. 邮件发送
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## 注意事项
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1. 确保Cookie有效，否则小红书发布会失败
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2. 网络连接正常，确保能访问目标网站
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3. 定期检查日志文件，监控系统运行状态
|
||
|
||
## 后续优化建议
|
||
|
||
1. 集成更多oh-my-writing-skill技能（如深度研究、图片搜索）
|
||
2. 添加更多内容来源网站
|
||
3. 优化图片生成算法
|
||
4. 添加更多数据分析功能
|
||
"""
|
||
|
||
with open(report_file, 'w', encoding='utf-8') as f:
|
||
f.write(report)
|
||
|
||
print(f"📋 测试报告已保存: {report_file}")
|
||
|
||
if __name__ == "__main__":
|
||
main() |