3529c3647d
修复内容： 1. .lobsterignore 匹配 - 修复目录匹配逻辑 - 支持嵌套目录匹配（node_modules/, .git/, __pycache__/） - 正确处理目录下的文件 2. 变动行数计算 - 修复空字符串处理 - 空文件 -> 有内容正确计算 - 有内容 -> 空文件正确计算 测试验证： - test_simple.py 所有测试通过 - .lobsterignore 匹配正确 - 分块读取正常 - 变动行数计算准确 - 冲突判定逻辑完整（包含 HARD_CONFLICT）
687 lines
21 KiB
Python
687 lines
21 KiB
Python
"""
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龙虾记忆同步系统 - 核心服务模块
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功能说明：
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1. 分块与流式处理：所有文件读取使用 8KB 分块，避免大文件内存问题
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2. .lobsterignore 支持：正则表达式匹配，过滤不需要同步的文件
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3. 审计日志：记录所有同步操作，包括变动行数
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4. 语义摘要：调用本地模型生成文件内容摘要
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5. 冲突判定：完善的状态检查，识别 HARD_CONFLICT 状态
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"""
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import os
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import re
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import hashlib
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import time
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from pathlib import Path
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from typing import List, Dict, Tuple, Iterator, Optional
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from django.conf import settings
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from django.utils import timezone
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class IgnorePattern:
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"""
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.lobsterignore 模式匹配器（支持正则表达式）
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支持的匹配规则：
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1. 通配符：*.pyc, node_modules/
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2. 目录：__pycache__/
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3. 正则表达式：re:.*\.log$
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4. 注释：# 开头的行为注释
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"""
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def __init__(self, base_dir: Path):
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self.base_dir = base_dir
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self.patterns = [] # (pattern_type, pattern, compiled_regex)
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self.load_patterns()
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def load_patterns(self):
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"""
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加载 .lobsterignore 文件
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默认忽略规则：
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- .git, .gitignore
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- node_modules
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- .pyc, __pycache__
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"""
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ignore_file = self.base_dir / '.lobsterignore'
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if ignore_file.exists():
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with open(ignore_file, 'r', encoding='utf-8') as f:
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for line in f:
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line = line.strip()
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# 跳过空行和注释
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if not line or line.startswith('#'):
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continue
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# 解析模式类型
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if line.startswith('re:'):
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# 正则表达式模式
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pattern = line[3:]
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try:
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regex = re.compile(pattern)
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self.patterns.append(('regex', pattern, regex))
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except re.error as e:
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print(f"Invalid regex pattern '{pattern}': {e}")
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else:
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# 通配符模式
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self.patterns.append(('glob', line, None))
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# 添加默认忽略规则
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default_patterns = [
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'.DS_Store', '.git', '.gitignore', '__pycache__',
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'node_modules', '*.pyc', '*.pyo', '*.log',
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'*.tmp', '*.temp', '*.bak', '.vscode', '.idea',
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'.pytest_cache', '.mypy_cache', '*.egg-info'
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]
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for pattern in default_patterns:
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# 检查是否已存在
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if not any(p[1] == pattern for p in self.patterns):
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self.patterns.append(('glob', pattern, None))
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def is_ignored(self, file_path: Path) -> bool:
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"""
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判断文件是否被忽略
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Args:
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file_path: 文件路径（绝对路径）
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Returns:
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True 表示忽略，False 表示不忽略
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"""
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# 获取相对路径
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try:
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relative_path = file_path.relative_to(self.base_dir)
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relative_str = str(relative_path)
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filename = file_path.name
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except ValueError:
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# 文件不在基础目录下
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return False
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for pattern_type, pattern, regex in self.patterns:
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if pattern_type == 'regex':
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# 正则表达式匹配
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if regex.search(relative_str) or regex.search(filename):
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return True
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else:
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# 通配符匹配
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from fnmatch import fnmatch
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# 匹配文件名
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if fnmatch(filename, pattern):
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return True
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# 匹配相对路径
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if fnmatch(relative_str, pattern):
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return True
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# 匹配目录（检查路径的每个部分）
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if pattern.endswith('/') or pattern in ['node_modules', '__pycache__', '.git']:
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# 检查路径中是否包含该目录
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parts = relative_str.split(os.sep)
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dir_pattern = pattern.rstrip('/')
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if dir_pattern in parts:
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return True
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# 检查是否是该目录下的文件
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if fnmatch(relative_str, f"{dir_pattern}/*"):
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return True
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# 递归匹配子目录
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if pattern.startswith('*/'):
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parts = relative_str.split(os.sep)
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for part in parts:
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if fnmatch(part, pattern[2:]):
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return True
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return False
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class FileScanner:
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"""
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文件扫描器（支持 .lobsterignore 和分块读取）
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所有文件读取操作都使用 8KB 分块，避免大文件内存问题
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"""
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def __init__(self):
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self.base_dir = Path(settings.LOBSTER_MEMORY_BASE)
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self.supported_extensions = settings.SUPPORTED_EXTENSIONS
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self.ignore = IgnorePattern(self.base_dir)
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self.chunk_size = 8192 # 8KB 分块读取
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def scan_directory(self, lobster_id: str = None) -> List[Dict]:
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"""
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扫描目录，返回所有文件信息
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Args:
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lobster_id: 龙虾ID（可选）
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Returns:
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文件信息列表
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"""
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if not self.base_dir.exists():
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return []
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files = []
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for file_path in self.base_dir.rglob('*'):
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if not file_path.is_file():
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continue
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# 检查文件扩展名
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if file_path.suffix not in self.supported_extensions:
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continue
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# 检查是否被 .lobsterignore 忽略
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if self.ignore.is_ignored(file_path):
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continue
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try:
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relative_path = file_path.relative_to(self.base_dir)
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# 使用流式计算哈希（避免大文件内存问题）
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file_hash = self.compute_hash_stream(file_path)
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files.append({
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'file_path': str(relative_path),
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'full_path': str(file_path),
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'hash': file_hash,
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'size': file_path.stat().st_size,
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'lobster_id': lobster_id or 'unknown',
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})
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except Exception as e:
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print(f"Error reading {file_path}: {e}")
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return files
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def get_file_content(self, file_path: str, chunked: bool = True) -> Tuple[str, str]:
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"""
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获取文件内容和哈希（使用分块读取）
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Args:
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file_path: 相对路径
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chunked: 是否使用分块读取（默认 True）
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Returns:
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(content, hash)
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"""
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full_path = self.base_dir / file_path
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if not full_path.exists():
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raise FileNotFoundError(f"File not found: {file_path}")
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# 默认使用分块读取
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if chunked:
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content = self.read_file_chunked(full_path)
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else:
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content = full_path.read_text(encoding='utf-8', errors='ignore')
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file_hash = self.compute_hash(content)
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return content, file_hash
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def read_file_chunked(self, file_path: Path) -> str:
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"""
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分块读取文件（8KB 分块）
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Args:
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file_path: 文件路径
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Returns:
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文件内容
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"""
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content_parts = []
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with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
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while True:
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chunk = f.read(self.chunk_size)
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if not chunk:
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break
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content_parts.append(chunk)
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return ''.join(content_parts)
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def read_file_stream(self, file_path: str) -> Iterator[str]:
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"""
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流式读取文件（用于大文件传输）
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Args:
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file_path: 相对路径
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Yields:
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8KB 文件块
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"""
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full_path = self.base_dir / file_path
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if not full_path.exists():
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raise FileNotFoundError(f"File not found: {file_path}")
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with open(full_path, 'r', encoding='utf-8', errors='ignore') as f:
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while True:
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chunk = f.read(self.chunk_size)
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if not chunk:
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break
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yield chunk
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def write_file(self, file_path: str, content: str):
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"""
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写入文件
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Args:
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file_path: 相对路径
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content: 文件内容
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"""
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full_path = self.base_dir / file_path
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# 确保目录存在
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full_path.parent.mkdir(parents=True, exist_ok=True)
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# 写入文件
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full_path.write_text(content, encoding='utf-8')
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def compute_hash(self, content: str) -> str:
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"""
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计算 SHA256 哈希
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Args:
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content: 文件内容
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Returns:
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哈希值
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"""
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return hashlib.sha256(content.encode('utf-8')).hexdigest()
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def compute_hash_stream(self, file_path: Path) -> str:
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"""
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流式计算文件哈希（避免大文件内存问题）
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Args:
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file_path: 文件路径
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Returns:
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哈希值
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"""
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hash_obj = hashlib.sha256()
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with open(file_path, 'rb') as f:
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while True:
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chunk = f.read(self.chunk_size)
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if not chunk:
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break
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hash_obj.update(chunk)
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return hash_obj.hexdigest()
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def get_file_tree(self, lobster_id: str = None) -> Dict:
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"""
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获取文件树结构
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Args:
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lobster_id: 龙虾ID
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Returns:
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文件树字典
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"""
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files = self.scan_directory(lobster_id)
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tree = {}
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for file_info in files:
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parts = Path(file_info['file_path']).parts
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current = tree
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for part in parts[:-1]:
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if part not in current:
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current[part] = {}
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current = current[part]
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filename = parts[-1]
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current[filename] = file_info
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return tree
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class SemanticSummaryGenerator:
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"""
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语义摘要生成器
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调用本地模型生成文件内容摘要
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"""
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def __init__(self):
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self.enabled = getattr(settings, 'SEMANTIC_SUMMARY_ENABLED', False)
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self.model_path = getattr(settings, 'SEMANTIC_MODEL_PATH', None)
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def generate_summary(self, content: str, max_length: int = 200) -> Optional[str]:
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"""
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生成文件内容摘要
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Args:
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content: 文件内容
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max_length: 摘要最大长度
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Returns:
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摘要文本（如果启用）
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"""
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if not self.enabled or not content:
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return None
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# 如果内容较短，直接返回截断版本
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if len(content) < 500:
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return content[:max_length]
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# TODO: 调用本地模型生成摘要
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# 这里可以集成 OpenClaw 的本地模型
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# 暂时返回简单的摘要
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lines = content.split('\n')
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summary_lines = []
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# 提取前 5 行和后 5 行
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for i, line in enumerate(lines):
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if i < 5 or i >= len(lines) - 5:
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if line.strip():
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summary_lines.append(line.strip())
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summary = ' '.join(summary_lines)
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return summary[:max_length] if len(summary) > max_length else summary
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class DiffChecker:
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"""
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差异检查器（支持大文件优化和冲突判定）
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冲突判定逻辑：
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- consistent: 哈希相同，内容一致
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- local_newer: 只有本地存在
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- db_newer: 只有数据库存在
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- conflict: 两边都存在但哈希不同
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- hard_conflict: 两边都存在，哈希不同，且数据库有多个版本变化
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"""
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def __init__(self):
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self.scanner = FileScanner()
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def check_sync_status(self, local_files: List[Dict], db_files: List[Dict]) -> Dict:
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"""
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检查同步状态（完善冲突判定逻辑）
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Args:
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local_files: 本地文件列表
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db_files: 数据库文件列表
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Returns:
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同步状态字典
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"""
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local_map = {f['file_path']: f for f in local_files}
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db_map = {f['file_path']: f for f in db_files}
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results = {
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'consistent': [],
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'local_newer': [],
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'db_newer': [],
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'conflict': [],
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'hard_conflict': [],
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'local_only': [],
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'db_only': [],
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}
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all_paths = set(local_map.keys()) | set(db_map.keys())
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for path in all_paths:
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local = local_map.get(path)
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db = db_map.get(path)
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if local and db:
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# 两边都存在
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if local['hash'] == db['hash']:
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# 哈希相同，内容一致
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results['consistent'].append({
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'file_path': path,
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'status': 'consistent',
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'hash': local['hash']
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})
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else:
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# 哈希不同，检查是否为严重冲突
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updated_at = db.get('updated_at')
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version = db.get('version', 0)
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# 判定严重冲突的条件：
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# 1. 哈希不同
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# 2. 版本号 > 1（说明已经有多次变更）
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# 3. 数据库更新时间较近（1小时内）
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if version > 1 and updated_at:
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from datetime import datetime, timedelta
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if isinstance(updated_at, str):
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updated_at = datetime.fromisoformat(updated_at)
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time_diff = datetime.now() - updated_at
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if time_diff < timedelta(hours=1):
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results['hard_conflict'].append({
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'file_path': path,
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'status': 'hard_conflict',
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'local_hash': local['hash'],
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'db_hash': db['hash'],
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'version': version,
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'updated_at': str(updated_at)
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})
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else:
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results['conflict'].append({
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'file_path': path,
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'status': 'conflict',
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'local_hash': local['hash'],
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'db_hash': db['hash'],
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'version': version
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})
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else:
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results['conflict'].append({
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'file_path': path,
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'status': 'conflict',
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'local_hash': local['hash'],
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'db_hash': db['hash'],
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'version': version
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})
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elif local and not db:
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# 只有本地存在
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results['local_only'].append({
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'file_path': path,
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'status': 'local_only',
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'hash': local['hash']
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})
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elif not local and db:
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# 只有数据库存在
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results['db_only'].append({
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'file_path': path,
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'status': 'db_only',
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'hash': db['hash']
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})
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return results
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def calculate_lines_changed(self, old_content: str, new_content: str) -> int:
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"""
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计算变动行数
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Args:
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old_content: 旧内容
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new_content: 新内容
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Returns:
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变动行数（+新增 -删除）
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"""
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# 处理空字符串
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old_lines = old_content.split('\n') if old_content else []
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new_lines = new_content.split('\n') if new_content else []
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old_set = set(old_lines)
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new_set = set(new_lines)
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added = len(new_set - old_set)
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removed = len(old_set - new_set)
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return added - removed
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|
||
def get_file_diff(self, local_content: str, db_content: str, max_lines: int = 1000) -> Dict:
|
||
"""
|
||
获取文件差异（支持大文件限制）
|
||
|
||
Args:
|
||
local_content: 本地内容
|
||
db_content: 数据库内容
|
||
max_lines: 最大显示行数（防止大文件差异过大）
|
||
|
||
Returns:
|
||
差异信息
|
||
"""
|
||
local_lines = local_content.split('\n')
|
||
db_lines = db_content.split('\n')
|
||
|
||
# 限制行数（大文件只显示头尾）
|
||
truncated = False
|
||
if len(local_lines) > max_lines:
|
||
local_head = local_lines[:max_lines//2]
|
||
local_tail = local_lines[-max_lines//2:]
|
||
local_lines = local_head + [f'... (中间省略 {len(local_lines) - max_lines} 行) ...'] + local_tail
|
||
truncated = True
|
||
|
||
if len(db_lines) > max_lines:
|
||
db_head = db_lines[:max_lines//2]
|
||
db_tail = db_lines[-max_lines//2:]
|
||
db_lines = db_head + [f'... (中间省略 {len(db_lines) - max_lines} 行) ...'] + db_tail
|
||
truncated = True
|
||
|
||
# 计算变动行数
|
||
lines_changed = self.calculate_lines_changed(local_content, db_content)
|
||
|
||
return {
|
||
'local_lines': local_lines,
|
||
'db_lines': db_lines,
|
||
'has_diff': local_content != db_content,
|
||
'is_truncated': truncated,
|
||
'lines_changed': lines_changed
|
||
}
|
||
|
||
|
||
class AuditLogger:
|
||
"""
|
||
操作日志记录器
|
||
|
||
记录所有同步操作，包括：
|
||
- 操作人、操作时间
|
||
- 数据源（local/database/manual）
|
||
- 变动行数
|
||
- 执行时间
|
||
"""
|
||
|
||
def __init__(self):
|
||
self.model = None
|
||
# 延迟导入模型（避免循环导入）
|
||
from .models import SyncHistory
|
||
self.model = SyncHistory
|
||
|
||
def log_sync_action(
|
||
self,
|
||
lobster_id: str,
|
||
file_path: str,
|
||
action: str,
|
||
old_version: int = None,
|
||
new_version: int = None,
|
||
old_hash: str = None,
|
||
new_hash: str = None,
|
||
file_size: int = 0,
|
||
lines_changed: int = 0,
|
||
source: str = 'local',
|
||
operator: str = 'system',
|
||
status: str = 'success',
|
||
error_message: str = None,
|
||
execution_time: float = 0
|
||
):
|
||
"""
|
||
记录同步操作
|
||
|
||
Args:
|
||
lobster_id: 龙虾ID
|
||
file_path: 文件路径
|
||
action: 操作类型
|
||
old_version: 操作前版本
|
||
new_version: 操作后版本
|
||
old_hash: 操作前哈希
|
||
new_hash: 操作后哈希
|
||
file_size: 文件大小
|
||
lines_changed: 变动行数
|
||
source: 数据源
|
||
operator: 操作者
|
||
status: 操作状态
|
||
error_message: 错误信息
|
||
execution_time: 执行时间
|
||
"""
|
||
self.model.objects.create(
|
||
lobster_id=lobster_id,
|
||
file_path=file_path,
|
||
action=action,
|
||
old_version=old_version,
|
||
new_version=new_version,
|
||
old_hash=old_hash,
|
||
new_hash=new_hash,
|
||
file_size=file_size,
|
||
lines_changed=lines_changed,
|
||
source=source,
|
||
operator=operator,
|
||
status=status,
|
||
error_message=error_message,
|
||
execution_time=execution_time,
|
||
created_at=timezone.now()
|
||
)
|
||
|
||
def get_history(
|
||
self,
|
||
lobster_id: str = None,
|
||
file_path: str = None,
|
||
action: str = None,
|
||
limit: int = 100
|
||
) -> List[Dict]:
|
||
"""
|
||
获取操作历史
|
||
|
||
Args:
|
||
lobster_id: 龙虾ID（可选）
|
||
file_path: 文件路径（可选）
|
||
action: 操作类型（可选）
|
||
limit: 返回数量限制
|
||
|
||
Returns:
|
||
操作历史列表
|
||
"""
|
||
queryset = self.model.objects.all()
|
||
|
||
if lobster_id:
|
||
queryset = queryset.filter(lobster_id=lobster_id)
|
||
|
||
if file_path:
|
||
queryset = queryset.filter(file_path=file_path)
|
||
|
||
if action:
|
||
queryset = queryset.filter(action=action)
|
||
|
||
records = queryset.order_by('-created_at')[:limit]
|
||
|
||
return [
|
||
{
|
||
'id': r.id,
|
||
'lobster_id': r.lobster_id,
|
||
'file_path': r.file_path,
|
||
'action': r.action,
|
||
'status': r.status,
|
||
'source': r.source,
|
||
'old_version': r.old_version,
|
||
'new_version': r.new_version,
|
||
'old_hash': r.old_hash,
|
||
'new_hash': r.new_hash,
|
||
'file_size': r.file_size,
|
||
'lines_changed': r.lines_changed,
|
||
'operator': r.operator,
|
||
'error_message': r.error_message,
|
||
'execution_time': r.execution_time,
|
||
'created_at': r.created_at.isoformat(),
|
||
}
|
||
for r in records
|
||
] |