gaoandClaude
70f845cd17
- 新增 Harbor 容器镜像仓库维护模块 - 新增 GitLab 代码托管平台维护模块 - 创建 SYSTEM-CONFIG.md 系统配置概览文档 - 完善 README.md 项目说明文档 - 更新部署脚本支持新模块 - 集成 Ollama AI 模型服务配置信息 主要功能： - Harbor: Docker 镜像仓库管理 (端口 8080/8443) - GitLab: 企业级代码托管 (端口 8890/8929) - 系统配置文档：便于 Claude 和 CI/CD 理解架构 - 统一备份策略和健康监控 - 模块化部署和管理 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
90 lines
2.4 KiB
Python
Executable File
90 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Claude Bluebook Context Generator (v1.2)
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自动生成Claude开发上下文
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"""
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import json
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import os
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from pathlib import Path
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from datetime import datetime
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def generate_context():
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"""生成Claude上下文"""
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project_root = Path.cwd()
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context = f"""# Claude AI Development Context v1.2
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## Project Information
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**Name**: {project_root.name}
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**Root**: {project_root}
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**Copyright**: © 2025 灵境万象智能科技有限公司
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## Current Development Phase
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**Phase**: AI-Powered Development
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**Focus**: High-quality enterprise-grade development
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## Quality Standards
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**Code Quality**:
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- Type coverage: ≥90%
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- Test coverage: ≥80%
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- Code quality: ≥B级
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**Performance**:
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- API response P95: ≤3s
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- Concurrent users: ≥1000
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- CPU usage: ≤70%
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**Security**:
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- Zero high-severity vulnerabilities
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- OWASP Top 10 compliance
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- Authentication and authorization complete
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## Development Guidelines
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1. **Enterprise-Grade Code**: Industry best practices with comprehensive documentation
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2. **Quality-First**: All quality gates must be passed
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3. **Security-First**: Security by design and default
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4. **Performance-Optimized**: Efficient, scalable code
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5. **Well-Tested**: High test coverage and automated quality checks
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## My Role & Approach
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**Role**: Senior Full-Stack Developer specializing in AI-powered systems
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**Approach**:
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- Structured responses with clear progress tracking
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- Ask clarifying questions when requirements are ambiguous
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- Suggest improvements and alternative approaches
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- Focus on practical, maintainable, enterprise-grade solutions
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## Quality Assurance
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All deliverables validated against:
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- Functional requirements ✓
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- Performance benchmarks ✓
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- Security standards ✓
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- Code quality metrics ✓
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- Documentation completeness ✓
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Let's build high-quality, enterprise-grade software together!
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"""
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return context.strip()
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def main():
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context = generate_context()
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cache_file = Path.cwd() / ".claude-bluebook-cache.json"
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cache_data = {
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"version": "2.0.0",
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"copyright": "© 2025 灵境万象智能科技有限公司",
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"timestamp": datetime.now().isoformat(),
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"claude_context": context
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}
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with open(cache_file, 'w', encoding='utf-8') as f:
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json.dump(cache_data, f, indent=2, ensure_ascii=False)
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print(f"✅ Context saved to: {cache_file}")
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print("🚀 Ready for Claude AI collaboration!")
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if __name__ == "__main__":
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main()
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