Claude Code 生态全景深度解析：编码 Agent 架构、记忆系统、插件生态与实战工作流（2026 年版）

import json
import hashlib
from dataclass import dataclass, field
from typing import List, Dict, Optional
from datetime import datetime

@dataclass
class MemoryEntry:
    """单条记忆条目"""
    id: str
    timestamp: str
    action: str          # "file_write", "command", "decision"
    content: str         # 原始内容
    summary: str         # AI 压缩后的摘要
    relevance_score: float  # 相关性评分 0-1
    tags: List[str] = field(default_factory=list)
    
class ClaudeMemCompressor:
    """claude-mem 核心记忆压缩引擎"""
    
    def __init__(self, max_memories: int = 500):
        self.max_memories = max_memories
        self.memories: List[MemoryEntry] = []
        
    def capture(self, action: str, content: str) -> MemoryEntry:
        """捕获一次 Claude Code 操作"""
        entry = MemoryEntry(
            id=hashlib.md5(f"{action}{content}{datetime.now()}".encode()).hexdigest()[:12],
            timestamp=datetime.now().isoformat(),
            action=action,
            content=content,
            summary=self._compress_content(content),
            relevance_score=self._score_relevance(action, content),
            tags=self._extract_tags(content)
        )
        self.memories.append(entry)
        if len(self.memories) > self.max_memories:
            self._evict_low_relevance()
        return entry
    
    def query(self, context: str, top_k: int = 5) -> List[MemoryEntry]:
        """根据当前任务上下文查询最相关的记忆"""
        scored = []
        for mem in self.memories:
            score = self._compute_relevance(context, mem)
            scored.append((score, mem))
        scored.sort(reverse=True, key=lambda x: x[0])
        return [m for _, m in scored[:top_k]]
    
    def _compress_content(self, content: str) -> str:
        """使用 LLM 压缩内容（简化版：基于规则提取）"""
        lines = content.strip().split('\n')
        if len(lines) > 20:
            return '\n'.join(lines[:5] + ['...'] + lines[-3:])
        return content
    
    def _score_relevance(self, action: str, content: str) -> float:
        """评估记忆的相关性"""
        base_score = 0.5
        # 架构决策 > 代码修改 > 命令执行
        if 'decision' in action:
            base_score += 0.3
        elif 'file_write' in action:
            base_score += 0.1
        # 包含关键文件名的内容相关性更高
        if any(kw in content.lower() for kw in ['architecture', 'config', 'api', 'database']):
            base_score += 0.2
        return min(base_score, 1.0)
    
    def _extract_tags(self, content: str) -> List[str]:
        """从内容中提取标签"""
        tags = []
        if 'import ' in content:
            tags.append('code')
        if any(ext in content for ext in ['.py', '.ts', '.js']):
            tags.append('file')
        if 'def ' in content or 'function ' in content:
            tags.append('function')
        if 'class ' in content:
            tags.append('class')
        return tags
    
    def _compute_relevance(self, context: str, memory: MemoryEntry) -> float:
        """计算记忆与当前上下文的相关度"""
        score = memory.relevance_score
        context_words = set(context.lower().split())
        for tag in memory.tags:
            if tag in context_words:
                score += 0.15
        return min(score, 1.0)
    
    def _evict_low_relevance(self):
        """淘汰相关性最低的记忆"""
        self.memories.sort(key=lambda m: m.relevance_score)
        self.memories = self.memories[len(self.memories) - self.max_memories:]
    
    def to_json(self) -> str:
        return json.dumps([m.__dict__ for m in self.memories], indent=2, ensure_ascii=False)

# 使用示例
compressor = ClaudeMemCompressor(max_memories=100)

# 模拟 Claude Code 会话操作
compressor.capture("file_write", """
# auth.py - 用户认证模块
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session

router = APIRouter(prefix="/auth", tags=["auth"])

@router.post("/login")
async def login(username: str, password: str, db: Session = Depends(get_db)):
    # 验证用户名密码
    user = authenticate_user(db, username, password)
    if not user:
        raise HTTPException(status_code=401, detail="Invalid credentials")
    token = create_access_token(data={"sub": user.username})
    return {"access_token": token, "token_type": "bearer"}
""".strip())

compressor.capture("decision", "采用 JWT token 认证方案，而非 session-based，因为 API 需要跨域支持")
compressor.capture("command", "pytest tests/test_auth.py -v --coverage")

# 在后续会话中查询相关记忆
relevant = compressor.query("implement user authentication endpoint")
for mem in relevant:
    print(f"[{mem.action}] {mem.summary} (score: {mem.relevance_score:.2f})")
    print(f"  Tags: {mem.tags}")
    print()

"""
Claude Code 跨会话记忆管理工作流
演示如何在长时间项目开发中利用记忆系统保持上下文连贯性
"""
import json
import os
from pathlib import Path

class ProjectMemoryManager:
    """项目级记忆管理器 - 跨 Claude Code 会话持久化知识"""
    
    MEMORY_FILE = ".claude-memory.json"
    
    def __init__(self, project_root: str = "."):
        self.project_root = Path(project_root)
        self.memory_path = self.project_root / self.MEMORY_FILE
        self.memories = self._load()
    
    def _load(self) -> dict:
        if self.memory_path.exists():
            with open(self.memory_path) as f:
                return json.load(f)
        return {
            "project_info": {},
            "architecture_decisions": [],
            "common_patterns": [],
            "known_issues": [],
            "completed_tasks": [],
            "pending_tasks": []
        }
    
    def save(self):
        with open(self.memory_path, "w") as f:
            json.dump(self.memories, f, indent=2, ensure_ascii=False)
    
    def record_decision(self, decision: str, rationale: str, alternatives: list = None):
        """记录架构决策"""
        self.memories["architecture_decisions"].append({
            "decision": decision,
            "rationale": rationale,
            "alternatives": alternatives or [],
            "timestamp": self._now()
        })
        self.save()
    
    def record_pattern(self, pattern_name: str, description: str, example: str):
        """记录项目中的常用模式"""
        self.memories["common_patterns"].append({
            "name": pattern_name,
            "description": description,
            "example": example[:500],  # 限制长度
            "timestamp": self._now()
        })
        self.save()
    
    def record_issue(self, issue: str, status: str, workaround: str = ""):
        """记录已知问题和解决方案"""
        self.memories["known_issues"].append({
            "issue": issue,
            "status": status,
            "workaround": workaround,
            "timestamp": self._now()
        })
        self.save()
    
    def get_context_summary(self) -> str:
        """生成 Claude Code 可用的上下文摘要"""
        parts = []
        
        if self.memories["project_info"]:
            parts.append("## 项目信息")
            for k, v in self.memories["project_info"].items():
                parts.append(f"- {k}: {v}")
        
        if self.memories["architecture_decisions"]:
            parts.append("\n## 关键架构决策")
            for d in self.memories["architecture_decisions"][-5:]:  # 最近 5 条
                parts.append(f"- {d['decision']}: {d['rationale']}")
        
        if self.memories["common_patterns"]:
            parts.append("\n## 项目模式")
            for p in self.memories["common_patterns"]:
                parts.append(f"- {p['name']}: {p['description']}")
        
        if self.memories["known_issues"]:
            open_issues = [i for i in self.memories["known_issues"] if i["status"] == "open"]
            if open_issues:
                parts.append("\n## 已知问题")
                for i in open_issues[-3:]:
                    parts.append(f"- {i['issue']} (状态: {i['status']})")
        
        return "\n".join(parts)
    
    def _now(self) -> str:
        from datetime import datetime
        return datetime.now().isoformat()

# 使用示例
manager = ProjectMemoryManager("/path/to/project")

# 第一天：设置项目
manager.memories["project_info"] = {
    "name": "ai-master-site",
    "tech_stack": "React + TypeScript + Vite",
    "primary_language": "TypeScript",
    "testing": "Vitest"
}
manager.save()

# 第二天：记录决策
manager.record_decision(
    decision="使用自定义 data 目录结构替代单一文件",
    rationale="数据量大时单一文件难以维护，模块化结构便于扩展",
    alternatives=["单一 JSON 文件", "SQLite 数据库"]
)

# 第三天：查询上下文
print(manager.get_context_summary())

"""
Claude Code 质量检查自动化
在 Claude Code 完成任务后自动验证输出质量
"""
import subprocess
import json
import sys
from pathlib import Path
from typing import List, Dict

class ClaudeCodeQualityChecker:
    """Claude Code 输出质量自动检查器"""
    
    def __init__(self, project_root: str = "."):
        self.project_root = Path(project_root)
        self.results: List[Dict] = []
    
    def check_all(self) -> Dict:
        """执行全套质量检查"""
        results = {
            "lint": self.run_lint(),
            "type_check": self.run_type_check(),
            "tests": self.run_tests(),
            "build": self.run_build(),
            "consistency": self.check_file_consistency(),
        }
        
        results["overall"] = all(
            r["passed"] for r in results.values() 
            if isinstance(r, dict) and "passed" in r
        )
        
        return results
    
    def run_lint(self) -> Dict:
        """运行 linter 检查"""
        try:
            result = subprocess.run(
                ["npx", "eslint", ".", "--format", "json"],
                capture_output=True, text=True, timeout=60,
                cwd=self.project_root
            )
            issues = json.loads(result.stdout) if result.stdout else []
            error_count = sum(
                len(f.get("messages", [])) 
                for f in issues
                if isinstance(f, dict)
            )
            return {
                "passed": error_count == 0,
                "error_count": error_count,
                "details": f"{error_count} lint errors"
            }
        except Exception as e:
            return {"passed": False, "error_count": -1, "details": str(e)}
    
    def run_type_check(self) -> Dict:
        """运行 TypeScript 类型检查"""
        try:
            result = subprocess.run(
                ["npx", "tsc", "--noEmit"],
                capture_output=True, text=True, timeout=120,
                cwd=self.project_root
            )
            passed = result.returncode == 0
            return {
                "passed": passed,
                "details": "Type check passed" if passed else result.stderr[:200]
            }
        except Exception as e:
            return {"passed": False, "details": str(e)}
    
    def run_tests(self) -> Dict:
        """运行测试套件"""
        try:
            result = subprocess.run(
                ["npx", "vitest", "run", "--reporter", "json"],
                capture_output=True, text=True, timeout=180,
                cwd=self.project_root
            )
            # 解析 vitest JSON 输出
            passed = result.returncode == 0
            return {
                "passed": passed,
                "details": "All tests passed" if passed else f"Tests failed: {result.stderr[:200]}"
            }
        except Exception as e:
            return {"passed": False, "details": str(e)}
    
    def run_build(self) -> Dict:
        """运行构建"""
        try:
            result = subprocess.run(
                ["npm", "run", "build"],
                capture_output=True, text=True, timeout=120,
                cwd=self.project_root
            )
            passed = result.returncode == 0
            return {
                "passed": passed,
                "details": "Build successful" if passed else result.stderr[:300]
            }
        except Exception as e:
            return {"passed": False, "details": str(e)}
    
    def check_file_consistency(self) -> Dict:
        """检查修改的文件是否一致（没有被 Claude Code 意外修改不该改的文件）"""
        # 获取 git diff 统计
        try:
            result = subprocess.run(
                ["git", "diff", "--stat", "HEAD"],
                capture_output=True, text=True, timeout=10,
                cwd=self.project_root
            )
            changed_files = result.stdout.strip().split('\n')
            return {
                "passed": True,
                "details": f"{len(changed_files)} files modified",
                "changed_files": changed_files
            }
        except Exception as e:
            return {"passed": False, "details": str(e)}

# 使用示例
checker = ClaudeCodeQualityChecker(".")
results = checker.check_all()

for check_name, result in results.items():
    if isinstance(result, dict):
        status = "✅" if result.get("passed") else "❌"
        print(f"{status} {check_name}: {result.get('details', 'N/A')}")

if results.get("overall"):
    print("\n🎉 所有检查通过！Claude Code 的输出质量达标。")
else:
    print("\n⚠️ 部分检查未通过，请审查 Claude Code 的输出。")