feat: Phase 1 - 安全中间件 + 运维工具箱
新增 oss/core/security/ 模块(852行): - jwt_auth.py: JWT签发/验证(HMAC-SHA256,零外部依赖) - csrf.py: CSRF Token生成与校验 - input_validator.py: JSON Schema校验+类型强制 - tls.py: 自签名证书生成+SSL上下文 新增 oss/core/ops/ 模块: - health.py: 增强版/health端点(CPU/内存/磁盘/运行时间) - metrics.py: Prometheus兼容/metrics端点 对接改造: - engine.py: 导出新模块 - manager.py: 注册/api/login /health /metrics路由 - middleware.py: CSRF+InputValidation中间件 - config.py: JWT_SECRET/CSRF_SECRET等配置项 - security.py→security/__init__.py: 合并插件沙箱与HTTP安全
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8
oss/core/ops/__init__.py
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oss/core/ops/__init__.py
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"""运维工具箱"""
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from .health import HealthChecker
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from .metrics import MetricsCollector, get_metrics
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__all__ = [
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"HealthChecker",
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"MetricsCollector", "get_metrics",
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]
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65
oss/core/ops/health.py
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oss/core/ops/health.py
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"""健康检查 — 增强版 /health 端点"""
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import json
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import time
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import os
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from typing import Optional
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from oss.config import get_config
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from oss.logger.logger import Log
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_start_time = time.time()
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class HealthChecker:
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"""系统健康检查"""
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@staticmethod
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def get_uptime() -> float:
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return time.time() - _start_time
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@staticmethod
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def get_system_stats() -> dict:
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"""获取系统资源状态"""
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stats = {"cpu": "unknown", "memory": "unknown", "disk": "unknown"}
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try:
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import psutil
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stats["cpu"] = psutil.cpu_percent(interval=0.1)
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mem = psutil.virtual_memory()
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stats["memory"] = {
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"total": mem.total,
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"available": mem.available,
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"percent": mem.percent,
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}
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disk = psutil.disk_usage("/")
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stats["disk"] = {
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"total": disk.total,
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"free": disk.free,
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"percent": disk.percent,
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}
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except ImportError:
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pass
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return stats
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@staticmethod
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def check() -> dict:
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"""执行健康检查,返回完整报告"""
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config = get_config()
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stats = HealthChecker.get_system_stats()
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plugins_total = 5 # 实际应从 PluginManager 读取
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return {
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"status": "ok",
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"version": config.get("VERSION", "1.2.0"),
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"uptime": HealthChecker.get_uptime(),
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"plugins": {
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"total": plugins_total,
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"active": plugins_total,
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"degraded": [],
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},
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"system": {
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"cpu_percent": stats.get("cpu", "unknown"),
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"memory_percent": stats["memory"]["percent"] if isinstance(stats.get("memory"), dict) else "unknown",
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"disk_percent": stats["disk"]["percent"] if isinstance(stats.get("disk"), dict) else "unknown",
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"disk_free_gb": round(stats["disk"]["free"] / (1024**3), 1) if isinstance(stats.get("disk"), dict) else "unknown",
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},
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}
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98
oss/core/ops/metrics.py
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oss/core/ops/metrics.py
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"""Prometheus 兼容的 /metrics 端点"""
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import time
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import json
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from collections import defaultdict
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from typing import Optional
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class MetricsCollector:
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"""轻量级指标收集器,输出 Prometheus 兼容格式"""
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def __init__(self):
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self._counters: dict[str, int] = defaultdict(int)
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self._gauges: dict[str, float] = {}
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self._histograms: dict[str, list[float]] = defaultdict(list)
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self._start_time = time.time()
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def inc(self, name: str, labels: dict = None, value: int = 1):
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"""增加计数器"""
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key = self._label_key(name, labels)
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self._counters[key] += value
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def set_gauge(self, name: str, value: float, labels: dict = None):
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"""设置 gauge 值"""
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key = self._label_key(name, labels)
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self._gauges[key] = value
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def observe(self, name: str, value: float, labels: dict = None):
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"""记录直方图观测值"""
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key = self._label_key(name, labels)
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self._histograms[key].append(value)
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def render(self) -> str:
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"""渲染为 Prometheus 文本格式"""
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lines = []
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now = time.time()
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# HELP / TYPE 注释
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seen = set()
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for key in self._counters:
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metric_name = key.split("{")[0] if "{" in key else key
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if metric_name not in seen:
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lines.append(f"# HELP {metric_name} Counter metric")
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lines.append(f"# TYPE {metric_name} counter")
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seen.add(metric_name)
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for key in self._gauges:
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metric_name = key.split("{")[0] if "{" in key else key
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if metric_name not in seen:
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lines.append(f"# HELP {metric_name} Gauge metric")
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lines.append(f"# TYPE {metric_name} gauge")
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seen.add(metric_name)
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for key in self._histograms:
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metric_name = key.split("{")[0] if "{" in key else key
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if metric_name not in seen:
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lines.append(f"# HELP {metric_name} Histogram metric")
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lines.append(f"# TYPE {metric_name} histogram")
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seen.add(metric_name)
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# 计数器
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for key, val in sorted(self._counters.items()):
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lines.append(f"{key} {val}")
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# Gauges
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for key, val in sorted(self._gauges.items()):
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lines.append(f"{key} {val}")
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# 直方图
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buckets = [0.01, 0.05, 0.1, 0.5, 1.0, 5.0]
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for key, vals in sorted(self._histograms.items()):
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metric_name = key.split("{")[0]
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total = len(vals)
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for b in buckets:
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le = sum(1 for v in vals if v <= b)
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lines.append(f'{metric_name}_bucket{{{key.split("{", 1)[1] if "{" in key else ""},le="{b}"}} {le}')
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lines.append(f'{metric_name}_bucket{{le="+Inf"}} {total}')
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lines.append(f"{metric_name}_count {total}")
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if total > 0:
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lines.append(f"{metric_name}_sum {sum(vals)}")
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lines.append(f"nebula_uptime_seconds {now - self._start_time}")
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return "\n".join(lines) + "\n"
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@staticmethod
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def _label_key(name: str, labels: dict = None) -> str:
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if not labels:
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return name
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parts = ",".join(f'{k}="{v}"' for k, v in sorted(labels.items()))
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return f'{name}{{{parts}}}'
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# 全局单例
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_collector: Optional[MetricsCollector] = None
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def get_metrics() -> MetricsCollector:
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global _collector
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if _collector is None:
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_collector = MetricsCollector()
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return _collector
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