移植自 mac-agent-os 的 mediacrawler_adapter:不起子进程、不开页面,用浏览器里那份
登录态直接调抖音 Web 接口。产物键名照抄 store/douyin,所以 ingest 那条链路一个字不用改。
**目前能用的(真环境实测,非推断)**:
profile/other : 200, 7075 字节 —— 博主主页指标(粉丝/获赞/作品数/昵称)
aweme/detail : 200, 45425 字节 —— 单条作品详情(含点赞/评论/收藏/分享)
**目前不能用的:作品列表 `aweme/post`。** 两个互相独立的原因:
1. 这个接口被抖音单独升级成了真校验:不带 x-tt-argus 回 403「Uifid Not Found」,
带上 dummy 值回 200 + **空 body**。也就是说「头在不在」骗得过,「真校验」过不了。
同一套头打 profile/other 和 aweme/detail 都是通的 —— 抖音是挑着接口加保护的,
挑中的恰好是「批量拉作品列表」这个最敏感的动作。
2. 改走页面截获也不行:CDP 浏览器打开博主主页会落到「验证码中间页」(当天大量探测的
代价,过几小时要重测)。
所以现在的边界是:**已知作品的指标刷新能做,自动发现新作品做不了**。
**排查中控住变量后得到的两条事实**(都写进注释了):
· `Accept` / `Accept-Language` / `Referer` 才是主页接口能返回真数据的原因 —— 只有
UA+client hints+Cookie 时是 200 但仅 121 字节的空壳,补上这三个头变 7074 字节。
(我先前猜的 sec-ch-ua 不是关键。)
· 因此 UA 与 client hints 必须**成套地取自同一个浏览器**,所以 BrowserIdentity 一次
从 CDP 取齐 cookie + UA + hints,而不是各自写死。
「200 + 空 body 必须当场报错」也是刻意写死的:放过去它会在下游变成「这个博主没作品」,
把一次失败伪装成一条正常结果 —— 爬虫那条路正是这么栽的,还被翻译成「账号被封」。
测试 +11:cookie 解析、请求头成套性(含 uifid 缺失/回退)、产物键名与 store 对齐、
以及 _get 的三条失败路径(空 body / 403 带网关原话 / 正常返回)。
321 lines
12 KiB
Python
321 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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sync_manager.py — 知识库备份、导出、同步状态检查
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模式:
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backup — 全量备份 03_knowledge/ + 04_memory/long_term/ 到 memory_backup/
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export — 导出可分发知识包(可按领域/标签过滤)
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status — 检查坚果云同步路径状态
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使用:
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python3 sync_manager.py --mode backup
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python3 sync_manager.py --mode backup --keep 5
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python3 sync_manager.py --mode export --domain 10_concepts 20_methods
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python3 sync_manager.py --mode export --tag AI工具
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python3 sync_manager.py --mode status
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python3 sync_manager.py --mode backup --dry-run
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"""
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import argparse
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import os
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import re
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import shutil
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import sys
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import tarfile
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from datetime import datetime
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from pathlib import Path
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# ── 配置 ──────────────────────────────────────────────────────────────────────
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BACKUP_SOURCES = [
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"03_knowledge",
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"04_memory/long_term",
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]
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KNOWLEDGE_DOMAINS = [
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"10_concepts", "20_methods", "30_facts",
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"40_references", "50_resources", "60_opinions",
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]
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DEFAULT_NUTSTORE_PATH = "~/NutstoreCloudBridge"
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DEFAULT_KEEP = 10
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# ── 参数解析 ───────────────────────────────────────────────────────────────────
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def parse_args():
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parser = argparse.ArgumentParser(description="AgentOS 同步管理器")
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parser.add_argument("--root", default="~/workbuddy-agent-os/agent-sync", help="agent-os 根目录")
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parser.add_argument("--mode", choices=["backup", "export", "status"], required=True,
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help="运行模式")
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parser.add_argument("--keep", type=int, default=DEFAULT_KEEP,
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help="备份模式:保留最近N份(默认10)")
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parser.add_argument("--domain", nargs="+", default=None,
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help="导出模式:只导出指定领域目录(如 10_concepts 20_methods)")
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parser.add_argument("--tag", default=None,
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help="导出模式:只导出含有指定 tag 的文件")
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parser.add_argument("--nutstore", default=DEFAULT_NUTSTORE_PATH,
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help="坚果云同步路径(用于 status 模式)")
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parser.add_argument("--dry-run", action="store_true", help="模拟运行,不实际写入")
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return parser.parse_args()
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# ── 工具函数 ───────────────────────────────────────────────────────────────────
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def ensure_dir(path: Path, dry_run: bool = False):
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if not dry_run:
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path.mkdir(parents=True, exist_ok=True)
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def format_size(size_bytes: int) -> str:
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for unit in ["B", "KB", "MB", "GB"]:
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if size_bytes < 1024:
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return f"{size_bytes:.1f} {unit}"
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size_bytes //= 1024
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return f"{size_bytes:.1f} TB"
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def get_md_tag(file_path: Path) -> list:
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"""从 frontmatter 提取 tags 列表"""
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try:
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content = file_path.read_text(encoding="utf-8", errors="ignore")
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if not content.startswith("---"):
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return []
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end = content.find("\n---", 3)
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if end == -1:
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return []
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frontmatter = content[3:end]
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# 匹配 tags: [a, b] 或多行列表
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m = re.search(r'tags\s*:\s*\[([^\]]+)\]', frontmatter)
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if m:
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return [t.strip().strip('"\'') for t in m.group(1).split(",")]
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# 多行格式
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tags = []
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in_tags = False
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for line in frontmatter.splitlines():
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if re.match(r'\s*tags\s*:', line):
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in_tags = True
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continue
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if in_tags:
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if line.strip().startswith("- "):
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tags.append(line.strip()[2:].strip())
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elif line.strip() and not line.startswith(" "):
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break
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return tags
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except Exception:
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return []
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# ── backup 模式 ────────────────────────────────────────────────────────────────
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def run_backup(root: Path, keep: int, dry_run: bool):
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backup_dir = root / "04_memory" / "memory_backup"
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ensure_dir(backup_dir, dry_run)
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now = datetime.now()
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filename = f"kb_backup_{now.strftime('%Y-%m-%d_%H%M')}.tar.gz"
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output_path = backup_dir / filename
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sources = []
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for src in BACKUP_SOURCES:
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p = root / src
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if p.exists():
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sources.append(p)
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else:
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print(f" [跳过] {p} 不存在")
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if not sources:
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print("[ERROR] 没有找到任何备份源")
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sys.exit(1)
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total_files = sum(
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sum(1 for _ in src.rglob("*") if _.is_file())
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for src in sources
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)
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total_size = sum(
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sum(f.stat().st_size for f in src.rglob("*") if f.is_file())
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for src in sources
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)
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print(f"备份目标: {', '.join(str(s.relative_to(root)) for s in sources)}")
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print(f"文件数量: {total_files} 预计大小: {format_size(total_size)}")
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print(f"输出路径: {output_path}")
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if dry_run:
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print("[dry-run] 跳过实际打包")
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return
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with tarfile.open(output_path, "w:gz") as tar:
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for src in sources:
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tar.add(src, arcname=src.relative_to(root))
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actual_size = output_path.stat().st_size
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print(f"✅ 备份完成: {filename} ({format_size(actual_size)})")
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# 清理旧备份
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_prune_backups(backup_dir, keep)
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def _prune_backups(backup_dir: Path, keep: int):
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"""保留最近 keep 份,删除更旧的"""
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pattern = re.compile(r"kb_backup_\d{4}-\d{2}-\d{2}_\d{4}\.tar\.gz")
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backups = sorted(
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[f for f in backup_dir.iterdir() if f.is_file() and pattern.match(f.name)],
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key=lambda f: f.stat().st_mtime,
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reverse=True,
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)
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to_delete = backups[keep:]
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if to_delete:
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print(f"清理旧备份(保留最近{keep}份):")
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for f in to_delete:
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print(f" 删除: {f.name}")
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f.unlink()
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else:
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print(f"备份数量: {len(backups)} 份,无需清理")
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# ── export 模式 ────────────────────────────────────────────────────────────────
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def run_export(root: Path, domains: list, tag: str, dry_run: bool):
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now = datetime.now()
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suffix = f"_tag-{tag}" if tag else ""
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suffix += f"_dom-{'_'.join(domains)}" if domains else ""
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filename = f"kb_export_{now.strftime('%Y-%m-%d_%H%M')}{suffix}.tar.gz"
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export_dir = root / "04_memory" / "memory_backup"
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ensure_dir(export_dir, dry_run)
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output_path = export_dir / filename
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# 确定要导出的目录
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kb_root = root / "03_knowledge"
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if domains:
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scan_dirs = [kb_root / d for d in domains if (kb_root / d).exists()]
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missing = [d for d in domains if not (kb_root / d).exists()]
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if missing:
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print(f"[警告] 以下领域目录不存在: {', '.join(missing)}")
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else:
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scan_dirs = [kb_root / d for d in KNOWLEDGE_DOMAINS if (kb_root / d).exists()]
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# 收集文件
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all_files = []
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for d in scan_dirs:
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for f in d.rglob("*.md"):
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if tag:
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if tag in get_md_tag(f):
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all_files.append(f)
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else:
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all_files.append(f)
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if not all_files:
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print("[ERROR] 没有找到符合条件的文件")
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sys.exit(1)
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total_size = sum(f.stat().st_size for f in all_files)
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filter_desc = f" 标签过滤: {tag}" if tag else ""
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domain_desc = f" 领域: {', '.join(domains)}" if domains else " 领域: 全部"
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print(f"导出范围: {domain_desc}{filter_desc}")
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print(f"文件数量: {len(all_files)} 预计大小: {format_size(total_size)}")
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print(f"输出路径: {output_path}")
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if dry_run:
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print("[dry-run] 跳过实际打包")
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for f in all_files[:5]:
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print(f" 示例: {f.relative_to(root)}")
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if len(all_files) > 5:
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print(f" ... 共 {len(all_files)} 个文件")
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return
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with tarfile.open(output_path, "w:gz") as tar:
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for f in all_files:
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tar.add(f, arcname=f.relative_to(root))
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actual_size = output_path.stat().st_size
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print(f"✅ 导出完成: {filename} ({format_size(actual_size)},{len(all_files)} 个文件)")
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# ── status 模式 ────────────────────────────────────────────────────────────────
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def run_status(root: Path, nutstore_path: str):
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print("=" * 50)
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print("AgentOS 同步状态检查")
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print("=" * 50)
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# 1. 本地知识库状态
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kb_root = root / "03_knowledge"
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facts_db = root / "04_memory" / "long_term" / "facts.db"
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backup_dir = root / "04_memory" / "memory_backup"
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if kb_root.exists():
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md_count = sum(1 for _ in kb_root.rglob("*.md"))
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kb_size = sum(f.stat().st_size for f in kb_root.rglob("*") if f.is_file())
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print(f"\n📚 知识库: {md_count} 个 MD 文件 ({format_size(kb_size)})")
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else:
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print(f"\n📚 知识库: ❌ 目录不存在 ({kb_root})")
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if facts_db.exists():
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facts_mtime = datetime.fromtimestamp(facts_db.stat().st_mtime)
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facts_size = facts_db.stat().st_size
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print(f"🧠 facts.db: {format_size(facts_size)} 最后修改: {facts_mtime.strftime('%Y-%m-%d %H:%M')}")
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else:
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print(f"🧠 facts.db: ❌ 不存在")
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# 2. 备份状态
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if backup_dir.exists():
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pattern = re.compile(r"kb_backup_\d{4}-\d{2}-\d{2}_\d{4}\.tar\.gz")
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backups = sorted(
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[f for f in backup_dir.iterdir() if f.is_file() and pattern.match(f.name)],
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key=lambda f: f.stat().st_mtime,
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reverse=True,
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)
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if backups:
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latest = backups[0]
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latest_time = datetime.fromtimestamp(latest.stat().st_mtime)
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print(f"\n💾 最新备份: {latest.name}")
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print(f" 时间: {latest_time.strftime('%Y-%m-%d %H:%M')} 大小: {format_size(latest.stat().st_size)}")
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print(f" 共 {len(backups)} 份备份")
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else:
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print(f"\n💾 备份: ❌ 暂无备份文件")
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else:
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print(f"\n💾 备份目录: ❌ 不存在")
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# 3. 坚果云同步状态
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nutstore = Path(nutstore_path).expanduser()
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print(f"\n☁️ 坚果云同步路径: {nutstore}")
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if nutstore.exists():
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all_files = [f for f in nutstore.rglob("*") if f.is_file()]
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if all_files:
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latest_sync = max(all_files, key=lambda f: f.stat().st_mtime)
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sync_time = datetime.fromtimestamp(latest_sync.stat().st_mtime)
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sync_size = sum(f.stat().st_size for f in all_files)
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print(f" 状态: ✅ 路径存在")
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print(f" 文件数: {len(all_files)} 总大小: {format_size(sync_size)}")
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print(f" 最近同步: {sync_time.strftime('%Y-%m-%d %H:%M')} ({latest_sync.name})")
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else:
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print(f" 状态: ⚠️ 路径存在但为空")
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else:
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print(f" 状态: ❌ 路径不存在(坚果云未挂载或未安装)")
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print()
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# ── 入口 ───────────────────────────────────────────────────────────────────────
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def main():
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args = parse_args()
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root = Path(args.root).expanduser()
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if not root.exists():
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print(f"[ERROR] agent-os 根目录不存在: {root}")
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sys.exit(1)
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if args.mode == "backup":
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run_backup(root, args.keep, args.dry_run)
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elif args.mode == "export":
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run_export(root, args.domain or [], args.tag, args.dry_run)
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elif args.mode == "status":
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run_status(root, args.nutstore)
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if __name__ == "__main__":
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main()
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