167 lines
5.4 KiB
Python
167 lines
5.4 KiB
Python
#!/usr/bin/env python3
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"""
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os_sense.py — 织忆 Soulful OS 无感感知
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============================
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轻量感知牧尘当前在做什么项目，不侵入隐私。
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用法：
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python3 os_sense.py # 可读摘要
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python3 os_sense.py --json # JSON 输出
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"""
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import json, os, sys, re
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from datetime import datetime
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from pathlib import Path
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from collections import Counter
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HOME = Path.home()
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HERMES = HOME / ".hermes"
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MC = HOME / "mc"
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STOPWORDS = {"织忆", "小唯", "hermes", "python", "文件", "修改", "更新",
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"了", "的", "在", "是", "我", "你", "他", "她", "它",
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"这个", "那个", "什么", "怎么", "为什么", "和", "与",
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"或", "但", "如果", "因为", "所以", "虽然", "不过",
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"还是", "可以", "会", "能", "有", "没有", "不", "别"}
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CONFIG_FILES = [
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HERMES / "SOUL.md",
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HERMES / "AGENTS.md",
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HERMES / "config.yaml",
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]
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def get_recent_files(n=10):
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"""最近修改的 md 文件"""
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md_files = list((MC).rglob("*.md")) if MC.exists() else []
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md_files = [(f, os.path.getmtime(f)) for f in md_files]
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md_files.sort(key=lambda x: x[1], reverse=True)
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return [{"path": str(f.relative_to(HOME)), "mtime": datetime.fromtimestamp(m).isoformat()}
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for f, m in md_files[:n]]
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def get_project_keywords(n=5):
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"""从最近 Wiki 概念文件中提取项目关键词"""
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concepts = MC / "小唯" / "07-Wiki" / "concepts"
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if not concepts.exists():
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return []
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files = list(concepts.glob("*.md"))
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files.sort(key=lambda f: os.path.getmtime(f), reverse=True)
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keywords = []
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for f in files[:n]:
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name = f.stem
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# 去掉日期前缀
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name = re.sub(r'^\d+-', '', name)
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# 提取有意义的词
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for part in re.split(r'[-_]', name):
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if len(part) > 1 and part not in STOPWORDS:
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keywords.append(part)
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return list(set(keywords))[:5]
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def get_journal_keywords(n=50):
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"""从 journal 统计高频词"""
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journal_path = HERMES / "daemon" / "journal.jsonl"
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if not journal_path.exists():
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return [], []
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words = []
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try:
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with open(journal_path) as f:
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lines = f.readlines()
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recent = lines[-n:] if len(lines) > n else lines
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for line in recent:
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try:
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entry = json.loads(line)
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text = entry.get("summary", "") + " " + entry.get("action_taken", "")
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# 简单分词（英文）+ 中文词提取（\w 不匹配中文）
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tokens = re.findall(r'[\w]{2,}', text.lower())
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chinese_words = re.findall(r'[\u4e00-\u9fff]{2,}', text)
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tokens = [t for t in tokens if t not in STOPWORDS and len(t) > 1]
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chinese_words = [w for w in chinese_words if w not in STOPWORDS]
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words.extend(tokens + chinese_words)
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except:
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pass
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except:
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pass
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if not words:
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return [], []
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counter = Counter(words)
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top = counter.most_common(10)
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return [w for w, _ in top], top
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def check_config_change():
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"""检查是否有重大配置变更"""
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results = []
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for f in CONFIG_FILES:
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if f.exists():
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mtime = os.path.getmtime(f)
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results.append({"file": f.name, "mtime": datetime.fromtimestamp(mtime).isoformat()})
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return results
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def generate_summary(projects, keywords, recent_files):
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"""生成自然语言摘要"""
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parts = []
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if keywords:
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parts.append("、".join(keywords[:3]))
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if recent_files:
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latest = recent_files[0]
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# 从路径提取项目名
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path_parts = Path(latest["path"]).parts
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if len(path_parts) >= 2:
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parts.append(f"最近在看 {path_parts[-2]}")
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if not parts:
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return "牧尘最近没有明显的工作模式变化"
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return f"牧尘这周/这段时间在关注：{', '.join(parts)}"
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def sense():
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recent_files = get_recent_files(10)
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project_keywords = get_project_keywords(5)
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journal_keywords, journal_freq = get_journal_keywords(50)
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config_files = check_config_change()
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summary = generate_summary(project_keywords, journal_keywords, recent_files)
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# 判断是否有新方向（config 改变）
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config_change = len(config_files) > 0
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return {
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"projects": project_keywords,
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"recent_files": recent_files[:5],
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"keywords": journal_keywords[:8],
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"config_change": config_change,
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"config_files": config_files,
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"summary": summary,
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"sensed_at": datetime.now().isoformat(),
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}
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def print_human(data):
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print(f"🖥️ OS 感知报告 — {data['sensed_at'][:10]}")
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print()
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if data["recent_files"]:
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print("📁 最近在看的文件：")
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for f in data["recent_files"][:5]:
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print(f" {f['path']}")
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print()
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if data["keywords"]:
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print(f"🔍 工作关键词：{' '.join(data['keywords'][:8])}")
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print()
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if data["projects"]:
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print(f"📂 项目方向：{' '.join(data['projects'])}")
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print()
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if data["config_change"]:
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print("⚙️ 配置有变更：")
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for cf in data["config_files"]:
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print(f" {cf['file']}（{cf['mtime'][:10]}）")
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print()
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print(f"💭 {data['summary']}")
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if __name__ == "__main__":
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data = sense()
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if "--json" in sys.argv:
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print(json.dumps(data, ensure_ascii=False, indent=2))
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else:
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print_human(data) |