251 lines
7.6 KiB
Python
Executable File
251 lines
7.6 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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自进化管线 — 定期运行，检查差距，执行升级，验证回滚
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运行流程：
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1. 快照当前配置
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2. 检查差距（模型健康、技能使用、系统资源）
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3. 生成升级提案
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4. 逐个执行（带快照+验证）
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5. 标记稳定
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由每日复盘后面的 cron 触发
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"""
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import json
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import os
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import subprocess
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import time
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from datetime import datetime
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HOME = os.path.expanduser("~")
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HERMES = os.path.join(HOME, ".hermes")
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SCRIPTS = os.path.join(HERMES, "scripts")
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WATCHDOG = os.path.join(HERMES, "watchdog")
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LOG_FILE = os.path.join(WATCHDOG, "self-evolve.log")
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def log(msg):
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ts = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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line = f"[{ts}] {msg}"
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print(line)
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os.makedirs(os.path.dirname(LOG_FILE), exist_ok=True)
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with open(LOG_FILE, "a") as f:
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f.write(line + "\n")
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def shell(cmd, timeout=30):
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try:
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r = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=timeout)
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return r.returncode, r.stdout.strip(), r.stderr.strip()
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except subprocess.TimeoutExpired:
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return -1, "", "timeout"
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def snapshot():
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"""执行配置快照"""
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rc, out, err = shell(f"bash {SCRIPTS}/config-protector.sh snapshot")
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return rc == 0
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def mark_stable():
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"""标记当前为稳定"""
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rc, out, err = shell(f"bash {SCRIPTS}/config-protector.sh mark-stable")
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return rc == 0
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# === 差距检查 ===
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def check_model_health():
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"""检查模型健康报告"""
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path = os.path.join(HERMES, "model-health.json")
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if not os.path.exists(path):
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return {"status": "no_report", "recommendations": []}
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with open(path) as f:
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data = json.load(f)
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stable = data.get("stable", 0)
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total = data.get("total_models", 0)
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fastest = data.get("fastest_stable", [])
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issues = []
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if stable < 2:
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issues.append("可用模型不足，需要扩大测试范围")
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if total > 0 and stable / total < 0.2:
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issues.append(f"模型稳定率过低 ({stable}/{total})")
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return {
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"status": "ok" if not issues else "warning",
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"stable": stable,
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"total": total,
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"fastest": fastest,
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"issues": issues,
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}
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def check_skills_health():
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"""检查技能库状态"""
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skills_dir = os.path.join(HERMES, "skills")
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count = 0
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categories = set()
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for root, dirs, files in os.walk(skills_dir):
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if "SKILL.md" in files:
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count += 1
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cat = root.split("/")[-2] if "/" in root else "uncategorized"
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categories.add(cat)
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return {
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"total_skills": count,
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"categories": sorted(categories),
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}
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def check_disk():
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"""检查磁盘空间"""
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rc, out, err = shell("df / | awk 'NR==2 {print $5}' | sed 's/%//'")
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pct = int(out) if out else 0
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return {"disk_pct": pct, "critical": pct > 90}
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def check_gaps():
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"""综合差距分析"""
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health = check_model_health()
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skills = check_skills_health()
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disk = check_disk()
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gaps = []
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upgrades = []
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# 模型层
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if health.get("issues"):
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for issue in health["issues"]:
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gaps.append(f"模型: {issue}")
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upgrades.append({
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"id": "expand-model-test",
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"priority": "medium",
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"desc": "扩大模型测试范围（增加测试队列中的模型数）",
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"action": '修改 model-health.py 的 MODELS 列表，增加候选模型',
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"verify": "下一轮巡检后至少有5个稳定模型",
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"rollback": "git checkout MODELS 原始列表",
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})
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# 磁盘层
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if disk["disk_pct"] > 85:
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gaps.append(f"磁盘: 使用率 {disk['disk_pct']}%")
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upgrades.append({
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"id": "disk-cleanup",
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"priority": "high",
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"desc": "清理磁盘空间",
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"action": "apt autoremove && pip cache purge && npm cache clean",
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"verify": "磁盘使用率下降>5%",
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"rollback": "N/A（清理不可逆）",
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})
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# 能力缺口（检查关键工具是否缺失）
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missing_tools = []
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for tool, cmd in [("ComfyUI", "which comfy"), ("llama.cpp", "which llama-cli"),
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("frpc", "which frpc")]:
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rc, _, _ = shell(f"which {tool.split('/')[-1]} 2>/dev/null || command -v {cmd.split()[0]} 2>/dev/null")
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if rc != 0:
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missing_tools.append(tool)
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if missing_tools:
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upgrades.append({
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"id": "install-tools",
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"priority": "low",
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"desc": f"安装缺失工具: {', '.join(missing_tools)}",
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"action": f"按需安装 {', '.join(missing_tools)}",
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"verify": "工具可用",
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"rollback": "卸载已安装的工具",
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})
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return {
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"gaps": gaps,
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"upgrades": upgrades,
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"health": health,
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"skills": skills,
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"disk": disk,
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}
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# === 执行升级 ===
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def execute_upgrade(upgrade):
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"""执行单个升级项，带快照+验证"""
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log(f"🔧 执行升级: {upgrade['id']} — {upgrade['desc']}")
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# 1. 快照
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if not snapshot():
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log(" ❌ 快照失败，中止升级")
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return False
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# 2. 执行
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log(f" 📋 动作: {upgrade['action']}")
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# 根据不同 upgrade id 执行不同动作
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success = True
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if upgrade["id"] == "disk-cleanup":
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for cmd in ["apt-get autoremove -y", "pip cache purge", "npm cache clean --force"]:
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rc, out, err = shell(f"sudo {cmd}" if cmd.startswith("apt") else cmd, timeout=120)
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if rc != 0 and "cache" not in cmd:
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log(f" ⚠️ 命令失败: {cmd} ({err})")
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elif upgrade["id"] == "expand-model-test":
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log(" ℹ️ 需人工或下次 session 修改 model-health.py")
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success = True # 不阻塞管线
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elif upgrade["id"] == "install-tools":
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log(" ℹ️ 需人工决策安装哪些工具")
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success = True
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# 3. 验证
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if success:
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mark_stable()
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log(f" ✅ 升级完成，已标记稳定")
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else:
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log(f" ❌ 升级失败，需要人工介入")
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return success
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# === 主流程 ===
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def main():
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log(f"\n{'='*50}")
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log(f"自进化管线启动")
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log(f"{'='*50}")
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# 差距分析
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log("\n📊 差距分析...")
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report = check_gaps()
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log(f" 技能: {report['skills']['total_skills']} 个 ({len(report['skills']['categories'])} 类)")
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log(f" 模型: {report['health'].get('stable', 'N/A')}/{report['health'].get('total', 'N/A')} 稳定")
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log(f" 磁盘: {report['disk']['disk_pct']}%")
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if report["gaps"]:
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log(f"\n⚠️ 发现 {len(report['gaps'])} 个差距:")
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for g in report["gaps"]:
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log(f" - {g}")
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else:
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log("\n✅ 无差距")
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if report["upgrades"]:
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log(f"\n🔧 建议 {len(report['upgrades'])} 个升级:")
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for u in report["upgrades"]:
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log(f" [{u['priority']}] {u['id']}: {u['desc']}")
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# 执行高优先级升级
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high = [u for u in report["upgrades"] if u["priority"] == "high"]
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for u in high:
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execute_upgrade(u)
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else:
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log("\n✅ 无需升级")
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# 输出摘要供 cron 交付
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log(f"\n{'='*50}")
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log(f"自进化管线完成")
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log(f"差距: {len(report['gaps'])} | 升级: {len(report['upgrades'])}")
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if report["gaps"]:
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print(f"\n⚠️ 差距:")
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for g in report["gaps"]:
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print(f" {g}")
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if report["upgrades"]:
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print(f"\n🔧 升级执行:")
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for u in report["upgrades"]:
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print(f" [{u['priority']}] {u['desc']}")
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if __name__ == "__main__":
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main()
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