From d5d7e45dedd5334071ecce77efbd0301c56acc94 Mon Sep 17 00:00:00 2001 From: cnbugs Date: Sat, 25 Jul 2026 10:32:26 +0800 Subject: [PATCH] =?UTF-8?q?feat:=20K8S=E6=99=BA=E8=83=BD=E8=AF=8A=E6=96=AD?= =?UTF-8?q?=E5=B9=B3=E5=8F=B0=20-=20=E4=B8=80=E9=94=AE=E8=AF=8A=E6=96=AD+A?= =?UTF-8?q?I=E5=88=86=E6=9E=90+Web=E4=BB=AA=E8=A1=A8=E7=9B=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 后端: FastAPI + kubectl 9大检查项(Pod/Node/Event/Deploy/Service/PVC/资源/网络) - AI Agent: OpenAI兼容接口自动分析故障根因+多轮追问对话 - 前端: Vue3 + Element Plus 仪表盘, 健康评分, 问题列表, 资源监控 - 一键启动脚本 start.sh --- .gitignore | 24 + README.md | 83 +++ backend/__init__.py | 0 backend/ai_agent.py | 80 +++ backend/config.py | 11 + backend/diagnosis.py | 523 +++++++++++++++ backend/main.py | 108 +++ frontend/index.html | 12 + frontend/package-lock.json | 1286 ++++++++++++++++++++++++++++++++++++ frontend/package.json | 10 + frontend/src/App.vue | 366 ++++++++++ frontend/src/main.js | 13 + frontend/vite.config.js | 18 + start.sh | 40 ++ 14 files changed, 2574 insertions(+) create mode 100644 .gitignore create mode 100644 README.md create mode 100644 backend/__init__.py create mode 100644 backend/ai_agent.py create mode 100644 backend/config.py create mode 100644 backend/diagnosis.py create mode 100644 backend/main.py create mode 100644 frontend/index.html create mode 100644 frontend/package-lock.json create mode 100644 frontend/package.json create mode 100644 frontend/src/App.vue create mode 100644 frontend/src/main.js create mode 100644 frontend/vite.config.js create mode 100755 start.sh diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..4a3d4a1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,24 @@ +# Dependencies +node_modules/ +frontend/node_modules/ + +# Build output +frontend/dist/ + +# Python +__pycache__/ +*.pyc +*.pyo +venv/ +.venv/ + +# Environment +.env + +# IDE +.vscode/ +.idea/ + +# OS +.DS_Store +Thumbs.db diff --git a/README.md b/README.md new file mode 100644 index 0000000..54a5079 --- /dev/null +++ b/README.md @@ -0,0 +1,83 @@ +# K8S 智能诊断平台 + +一键诊断 Kubernetes 集群健康状态，接入 AI Agent 自动分析故障根因并给出修复建议。 + +![界面预览](/home/cnbugs/.hermes/cache/screenshots/browser_screenshot_b258ca152c1e489fa186583946ecbd9e.png) + +## 功能特性 + +- **一键诊断**：9 大检查项全面扫描集群状态 + - 集群信息、Pod 状态、Node 状态、异常事件 + - Deployment 副本检查、Service/Endpoint 检查 + - PVC 存储检查、节点资源使用率、网络策略 +- **健康评分**：100 分制量化集群健康度（严重问题 -15 分，警告 -5 分） +- **AI 智能分析**：接入 OpenAI 兼容接口，自动分析诊断报告 + - 根因定位、影响评估、修复命令、优先级排序、预防建议 +- **AI 追问对话**：基于诊断上下文多轮追问，深入排查问题 +- **Web 仪表盘**：Vue3 + Element Plus，实时展示诊断结果 + +## 快速开始 + +```bash +# 1. 确保 kubectl 已配置 +kubectl cluster-info + +# 2. 启动服务 +./start.sh + +# 3. 打开浏览器 +# http://localhost:8900 +``` + +## 配置 + +编辑 `.env` 文件： + +```env +# AI 分析接口 (OpenAI 兼容格式) +AI_API_BASE=http://localhost:8648/v1 +AI_API_KEY=your-api-key +AI_MODEL=qwen3.8-max-preview + +# 服务端口 +PORT=8900 + +# Kubeconfig 路径 (留空使用默认 ~/.kube/config) +KUBECONFIG_PATH= +``` + +## API 接口 + +| 方法 | 路径 | 说明 | +|------|------|------| +| GET | `/api/health` | 健康检查 | +| GET | `/api/checks` | 列出所有诊断项 | +| POST | `/api/diagnose` | 执行诊断 `{"namespace":"", "checks":[]}` | +| GET | `/api/diagnosis/latest` | 获取最近诊断结果 | +| POST | `/api/analyze` | AI 分析诊断结果 `{"question":""}` | +| POST | `/api/chat` | AI 多轮对话 `{"messages":[...]}` | +| GET | `/api/report` | 获取诊断报告文本 | + +## 技术栈 + +- **后端**：Python 3 + FastAPI + kubernetes-client (kubectl) +- **前端**：Vue 3 + Element Plus + Vite + marked +- **AI**：OpenAI 兼容 Chat Completions API + +## 项目结构 + +``` +k8smanager-cli/ +├── backend/ +│ ├── main.py # FastAPI 主应用 +│ ├── config.py # 配置管理 +│ ├── diagnosis.py # K8S 诊断引擎 (9 大检查项) +│ └── ai_agent.py # AI Agent 分析模块 +├── frontend/ +│ ├── src/App.vue # 仪表盘界面 +│ ├── index.html +│ └── vite.config.js +├── .env # 配置文件 +├── start.sh # 一键启动脚本 +└── README.md +``` diff --git a/backend/__init__.py b/backend/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/ai_agent.py b/backend/ai_agent.py new file mode 100644 index 0000000..639fdfb --- /dev/null +++ b/backend/ai_agent.py @@ -0,0 +1,80 @@ +"""AI Agent 分析模块 - 调用 OpenAI 兼容接口分析诊断结果""" +import httpx +from backend.config import AI_API_BASE, AI_API_KEY, AI_MODEL + +SYSTEM_PROMPT = """你是一位资深的 Kubernetes 运维专家和 SRE 工程师。你的任务是分析 K8S 集群诊断报告，找出根本原因并给出修复建议。 + +分析要求： +1. **问题定位**：明确指出每个问题的根本原因（Root Cause），不要只描述表面现象 +2. **影响评估**：说明每个问题对业务的潜在影响 +3. **修复方案**：给出具体的修复命令或操作步骤（kubectl 命令、YAML 修改等） +4. **优先级排序**：按紧急程度排序，先处理影响最大的问题 +5. **预防建议**：给出避免类似问题再次发生的建议 + +输出格式：使用清晰的 Markdown，包含标题、列表、代码块。语言使用中文。""" + + +async def analyze_with_ai(report: str, question: str = "") -> dict: + """调用 AI 分析诊断报告""" + user_msg = f"以下是 K8S 集群诊断报告，请进行详细分析：\n\n{report}" + if question: + user_msg += f"\n\n用户额外问题：{question}" + + try: + async with httpx.AsyncClient(timeout=120) as client: + resp = await client.post( + f"{AI_API_BASE}/chat/completions", + headers={ + "Authorization": f"Bearer {AI_API_KEY}", + "Content-Type": "application/json", + }, + json={ + "model": AI_MODEL, + "messages": [ + {"role": "system", "content": SYSTEM_PROMPT}, + {"role": "user", "content": user_msg}, + ], + "temperature": 0.3, + "max_tokens": 4096, + }, + ) + resp.raise_for_status() + data = resp.json() + content = data["choices"][0]["message"]["content"] + return {"success": True, "analysis": content, "model": AI_MODEL} + except httpx.HTTPStatusError as e: + return {"success": False, "analysis": f"AI 接口返回错误: {e.response.status_code} - {e.response.text[:500]}", "model": AI_MODEL} + except httpx.ConnectError: + return {"success": False, "analysis": f"无法连接 AI 服务 ({AI_API_BASE})，请检查配置", "model": AI_MODEL} + except Exception as e: + return {"success": False, "analysis": f"AI 分析失败: {str(e)}", "model": AI_MODEL} + + +async def chat_with_ai(messages: list[dict], context: str = "") -> dict: + """多轮对话 - 基于诊断上下文追问""" + msgs = [{"role": "system", "content": SYSTEM_PROMPT}] + if context: + msgs.append({"role": "system", "content": f"当前诊断上下文：\n{context}"}) + msgs.extend(messages) + + try: + async with httpx.AsyncClient(timeout=120) as client: + resp = await client.post( + f"{AI_API_BASE}/chat/completions", + headers={ + "Authorization": f"Bearer {AI_API_KEY}", + "Content-Type": "application/json", + }, + json={ + "model": AI_MODEL, + "messages": msgs, + "temperature": 0.3, + "max_tokens": 4096, + }, + ) + resp.raise_for_status() + data = resp.json() + content = data["choices"][0]["message"]["content"] + return {"success": True, "reply": content} + except Exception as e: + return {"success": False, "reply": f"AI 对话失败: {str(e)}"} diff --git a/backend/config.py b/backend/config.py new file mode 100644 index 0000000..055f292 --- /dev/null +++ b/backend/config.py @@ -0,0 +1,11 @@ +"""配置管理""" +import os +from dotenv import load_dotenv + +load_dotenv() + +AI_API_BASE = os.getenv("AI_API_BASE", "http://localhost:8648/v1") +AI_API_KEY = os.getenv("AI_API_KEY", "hermes") +AI_MODEL = os.getenv("AI_MODEL", "qwen3.8-max-preview") +PORT = int(os.getenv("PORT", "8900")) +KUBECONFIG_PATH = os.getenv("KUBECONFIG_PATH", "") or None diff --git a/backend/diagnosis.py b/backend/diagnosis.py new file mode 100644 index 0000000..b5e9ed0 --- /dev/null +++ b/backend/diagnosis.py @@ -0,0 +1,523 @@ +"""K8S 集群诊断引擎 - 通过 kubectl 命令采集集群状态""" +import asyncio +import json +import shutil +from datetime import datetime +from typing import Optional + +KUBECTL = shutil.which("kubectl") or "/home/cnbugs/bin/kubectl" + + +async def _run_kubectl(args: list[str], timeout: int = 30) -> dict: + """执行 kubectl 命令，返回结构化结果""" + cmd = [KUBECTL] + args + ["-o", "json"] + try: + proc = await asyncio.create_subprocess_exec( + *cmd, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + ) + stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=timeout) + if proc.returncode != 0: + return {"error": stderr.decode().strip(), "data": None} + return {"error": None, "data": json.loads(stdout.decode())} + except asyncio.TimeoutError: + return {"error": f"kubectl 命令超时 ({timeout}s)", "data": None} + except Exception as e: + return {"error": str(e), "data": None} + + +async def _run_kubectl_raw(args: list[str], timeout: int = 30) -> str: + """执行 kubectl 命令，返回原始文本""" + cmd = [KUBECTL] + args + try: + proc = await asyncio.create_subprocess_exec( + *cmd, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + ) + stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=timeout) + return stdout.decode().strip() + except Exception: + return "" + + +def _parse_resource_quantity(q: str) -> float: + """解析 K8S 资源量 (如 500m, 2Gi) 为数值""" + if not q: + return 0 + q = str(q) + units = {"n": 1e-9, "u": 1e-6, "m": 1e-3, "": 1, "k": 1e3, "M": 1e6, "G": 1e9, "T": 1e12, + "Ki": 1024, "Mi": 1024**2, "Gi": 1024**3, "Ti": 1024**4} + for suffix, mult in sorted(units.items(), key=lambda x: -len(x[0])): + if suffix and q.endswith(suffix): + try: + return float(q[:-len(suffix)]) * mult + except ValueError: + return 0 + try: + return float(q) + except ValueError: + return 0 + + +# ─── 诊断项 ─────────────────────────────────────────────── + +async def check_cluster_info() -> dict: + """集群基本信息""" + ver = await _run_kubectl(["version"]) + nodes = await _run_kubectl(["get", "nodes"]) + namespaces = await _run_kubectl(["get", "namespaces"]) + return { + "name": "cluster_info", + "title": "集群信息", + "version": ver, + "nodes": nodes, + "namespaces": namespaces, + } + + +async def check_pods(namespace: str = "") -> dict: + """Pod 状态检查""" + args = ["get", "pods"] + if namespace: + args += ["-n", namespace] + else: + args += ["--all-namespaces"] + result = await _run_kubectl(args) + + issues = [] + pods_summary = {"total": 0, "running": 0, "pending": 0, "failed": 0, "unknown": 0, "crashloop": 0} + + if result["data"] and "items" in result["data"]: + for pod in result["data"]["items"]: + pods_summary["total"] += 1 + phase = pod.get("status", {}).get("phase", "Unknown") + name = pod["metadata"]["name"] + ns = pod["metadata"].get("namespace", "default") + + if phase == "Running": + pods_summary["running"] += 1 + # 检查重启次数 + for cs in pod.get("status", {}).get("containerStatuses", []): + restarts = cs.get("restartCount", 0) + if restarts > 5: + issues.append({ + "level": "warning", + "resource": f"{ns}/{name}", + "message": f"容器 {cs['name']} 重启 {restarts} 次", + }) + state = cs.get("state", {}) + if "waiting" in state: + reason = state["waiting"].get("reason", "") + if reason in ("CrashLoopBackOff", "ErrImagePull", "ImagePullBackOff", "CreateContainerConfigError"): + pods_summary["crashloop"] += 1 + issues.append({ + "level": "critical", + "resource": f"{ns}/{name}", + "message": f"容器 {cs['name']} 状态异常: {reason}", + }) + elif phase == "Pending": + pods_summary["pending"] += 1 + issues.append({"level": "warning", "resource": f"{ns}/{name}", "message": "Pod 处于 Pending 状态"}) + elif phase == "Failed": + pods_summary["failed"] += 1 + issues.append({"level": "critical", "resource": f"{ns}/{name}", "message": "Pod 处于 Failed 状态"}) + else: + pods_summary["unknown"] += 1 + + return { + "name": "pods", + "title": "Pod 状态检查", + "summary": pods_summary, + "issues": issues, + "raw": result, + } + + +async def check_nodes() -> dict: + """Node 状态检查""" + result = await _run_kubectl(["get", "nodes"]) + issues = [] + nodes_summary = {"total": 0, "ready": 0, "not_ready": 0} + + if result["data"] and "items" in result["data"]: + for node in result["data"]["items"]: + nodes_summary["total"] += 1 + name = node["metadata"]["name"] + conditions = node.get("status", {}).get("conditions", []) + is_ready = False + for cond in conditions: + if cond["type"] == "Ready" and cond["status"] == "True": + is_ready = True + if cond["status"] == "True" and cond["type"] in ("MemoryPressure", "DiskPressure", "PIDPressure"): + issues.append({ + "level": "critical", + "resource": name, + "message": f"节点存在 {cond['type']} 压力", + }) + if is_ready: + nodes_summary["ready"] += 1 + else: + nodes_summary["not_ready"] += 1 + issues.append({"level": "critical", "resource": name, "message": "节点 NotReady"}) + + # 资源使用 + alloc = node.get("status", {}).get("allocatable", {}) + cap = node.get("status", {}).get("capacity", {}) + if alloc and cap: + for res in ("cpu", "memory"): + a = _parse_resource_quantity(alloc.get(res, "0")) + c = _parse_resource_quantity(cap.get(res, "0")) + if c > 0 and a / c < 0.1: + issues.append({ + "level": "warning", + "resource": name, + "message": f"节点 {res} 可分配量不足 10%", + }) + + return { + "name": "nodes", + "title": "Node 状态检查", + "summary": nodes_summary, + "issues": issues, + "raw": result, + } + + +async def check_events(namespace: str = "") -> dict: + """异常事件检查""" + args = ["get", "events", "--field-selector", "type!=Normal", "--sort-by=.lastTimestamp"] + if namespace: + args += ["-n", namespace] + else: + args += ["--all-namespaces"] + result = await _run_kubectl(args) + + issues = [] + events_list = [] + if result["data"] and "items" in result["data"]: + for ev in result["data"]["items"][-50:]: # 最近50条 + events_list.append({ + "namespace": ev["metadata"].get("namespace", ""), + "reason": ev.get("reason", ""), + "message": ev.get("message", ""), + "type": ev.get("type", ""), + "object": f"{ev.get('involvedObject', {}).get('kind', '')}/{ev.get('involvedObject', {}).get('name', '')}", + "lastSeen": ev.get("lastTimestamp", ""), + "count": ev.get("count", 1), + }) + if ev.get("type") == "Warning": + issues.append({ + "level": "warning", + "resource": f"{ev['metadata'].get('namespace', '')}/{ev.get('involvedObject', {}).get('name', '')}", + "message": f"[{ev.get('reason', '')}] {ev.get('message', '')[:200]}", + }) + + return { + "name": "events", + "title": "异常事件检查", + "warning_count": len(issues), + "events": events_list, + "issues": issues, + "raw": result, + } + + +async def check_deployments(namespace: str = "") -> dict: + """Deployment 状态检查""" + args = ["get", "deployments"] + if namespace: + args += ["-n", namespace] + else: + args += ["--all-namespaces"] + result = await _run_kubectl(args) + + issues = [] + deploys = [] + if result["data"] and "items" in result["data"]: + for dep in result["data"]["items"]: + name = dep["metadata"]["name"] + ns = dep["metadata"].get("namespace", "default") + spec_replicas = dep.get("spec", {}).get("replicas", 0) + status = dep.get("status", {}) + ready = status.get("readyReplicas", 0) or 0 + available = status.get("availableReplicas", 0) or 0 + updated = status.get("updatedReplicas", 0) or 0 + + deploys.append({ + "namespace": ns, "name": name, + "desired": spec_replicas, "ready": ready, + "available": available, "updated": updated, + }) + if ready < spec_replicas: + issues.append({ + "level": "critical" if ready == 0 else "warning", + "resource": f"{ns}/{name}", + "message": f"副本不足: 期望 {spec_replicas}, 就绪 {ready}", + }) + if updated < spec_replicas: + issues.append({ + "level": "warning", + "resource": f"{ns}/{name}", + "message": f"滚动更新未完成: 已更新 {updated}/{spec_replicas}", + }) + + return { + "name": "deployments", + "title": "Deployment 状态检查", + "deployments": deploys, + "issues": issues, + "raw": result, + } + + +async def check_services(namespace: str = "") -> dict: + """Service / Endpoint 检查""" + args = ["get", "endpoints"] + if namespace: + args += ["-n", namespace] + else: + args += ["--all-namespaces"] + result = await _run_kubectl(args) + + issues = [] + if result["data"] and "items" in result["data"]: + for ep in result["data"]["items"]: + name = ep["metadata"]["name"] + ns = ep["metadata"].get("namespace", "default") + subsets = ep.get("subsets", []) + has_addr = any(s.get("addresses") for s in subsets) + if not has_addr and name != "kubernetes": + issues.append({ + "level": "warning", + "resource": f"{ns}/{name}", + "message": "Service 没有可用的后端 Endpoint", + }) + + return { + "name": "services", + "title": "Service/Endpoint 检查", + "issues": issues, + "raw": result, + } + + +async def check_pvc(namespace: str = "") -> dict: + """PVC 状态检查""" + args = ["get", "pvc"] + if namespace: + args += ["-n", namespace] + else: + args += ["--all-namespaces"] + result = await _run_kubectl(args) + + issues = [] + if result["data"] and "items" in result["data"]: + for pvc in result["data"]["items"]: + name = pvc["metadata"]["name"] + ns = pvc["metadata"].get("namespace", "default") + phase = pvc.get("status", {}).get("phase", "") + if phase != "Bound": + issues.append({ + "level": "critical", + "resource": f"{ns}/{name}", + "message": f"PVC 状态异常: {phase}", + }) + + return { + "name": "pvc", + "title": "PVC 存储检查", + "issues": issues, + "raw": result, + } + + +async def check_resource_usage() -> dict: + """节点资源使用率 (需要 metrics-server)""" + raw = await _run_kubectl_raw(["top", "nodes", "--no-headers"]) + issues = [] + nodes_usage = [] + + if raw and "error" not in raw.lower(): + for line in raw.strip().split("\n"): + parts = line.split() + if len(parts) >= 5: + name = parts[0] + cpu_pct = parts[1].rstrip("%") + mem_pct = parts[3].rstrip("%") + try: + cpu_v, mem_v = float(cpu_pct), float(mem_pct) + nodes_usage.append({"name": name, "cpu_pct": cpu_v, "mem_pct": mem_v}) + if cpu_v > 90: + issues.append({"level": "critical", "resource": name, "message": f"CPU 使用率 {cpu_v}%"}) + elif cpu_v > 75: + issues.append({"level": "warning", "resource": name, "message": f"CPU 使用率 {cpu_v}%"}) + if mem_v > 90: + issues.append({"level": "critical", "resource": name, "message": f"内存使用率 {mem_v}%"}) + elif mem_v > 75: + issues.append({"level": "warning", "resource": name, "message": f"内存使用率 {mem_v}%"}) + except ValueError: + pass + else: + return { + "name": "resource_usage", + "title": "资源使用率", + "issues": [], + "nodes": [], + "note": "metrics-server 不可用，跳过资源使用率检查", + "raw": {"error": raw}, + } + + return { + "name": "resource_usage", + "title": "资源使用率", + "issues": issues, + "nodes": nodes_usage, + "raw": {"text": raw}, + } + + +async def check_network_policies(namespace: str = "") -> dict: + """网络策略检查""" + args = ["get", "networkpolicies"] + if namespace: + args += ["-n", namespace] + else: + args += ["--all-namespaces"] + result = await _run_kubectl(args) + count = len(result["data"].get("items", [])) if result["data"] else 0 + return { + "name": "network", + "title": "网络策略检查", + "policy_count": count, + "issues": [], + "raw": result, + } + + +# ─── 主诊断入口 ─────────────────────────────────────────── + +ALL_CHECKS = { + "cluster_info": check_cluster_info, + "pods": check_pods, + "nodes": check_nodes, + "events": check_events, + "deployments": check_deployments, + "services": check_services, + "pvc": check_pvc, + "resource_usage": check_resource_usage, + "network": check_network_policies, +} + + +async def run_full_diagnosis(namespace: str = "", checks: Optional[list[str]] = None) -> dict: + """执行完整诊断""" + start = datetime.now() + + selected = checks or list(ALL_CHECKS.keys()) + tasks = {} + for name in selected: + fn = ALL_CHECKS.get(name) + if fn: + if name in ("pods", "events", "deployments", "services", "pvc", "network"): + tasks[name] = fn(namespace) + else: + tasks[name] = fn() + + results = {} + for name, coro in tasks.items(): + try: + results[name] = await coro + except Exception as e: + results[name] = {"name": name, "title": name, "error": str(e), "issues": []} + + # 汇总 + all_issues = [] + for r in results.values(): + for issue in r.get("issues", []): + issue["check"] = r.get("title", r.get("name", "")) + all_issues.append(issue) + + critical = [i for i in all_issues if i["level"] == "critical"] + warning = [i for i in all_issues if i["level"] == "warning"] + + elapsed = (datetime.now() - start).total_seconds() + + # 健康评分 (100 分制) + score = 100 + score -= len(critical) * 15 + score -= len(warning) * 5 + score = max(0, score) + + if score >= 90: + status = "healthy" + elif score >= 60: + status = "warning" + else: + status = "critical" + + return { + "timestamp": start.isoformat(), + "elapsed_seconds": round(elapsed, 2), + "namespace": namespace or "all", + "score": score, + "status": status, + "critical_count": len(critical), + "warning_count": len(warning), + "issues": all_issues, + "checks": results, + } + + +def build_diagnosis_report(diagnosis: dict) -> str: + """将诊断结果构建为 AI 可读的文本报告""" + lines = [] + lines.append(f"# K8S 集群诊断报告") + lines.append(f"时间: {diagnosis['timestamp']}") + lines.append(f"命名空间: {diagnosis['namespace']}") + lines.append(f"健康评分: {diagnosis['score']}/100 ({diagnosis['status']})") + lines.append(f"严重问题: {diagnosis['critical_count']} 个, 警告: {diagnosis['warning_count']} 个") + lines.append("") + + if diagnosis["issues"]: + lines.append("## 发现的问题") + for i, issue in enumerate(diagnosis["issues"], 1): + icon = "🔴" if issue["level"] == "critical" else "🟡" + lines.append(f"{i}. {icon} [{issue['check']}] {issue['resource']}: {issue['message']}") + lines.append("") + + # Pod 摘要 + pods = diagnosis["checks"].get("pods", {}) + if pods.get("summary"): + s = pods["summary"] + lines.append(f"## Pod 状态: 总计 {s['total']}, Running {s['running']}, Pending {s['pending']}, Failed {s['failed']}, CrashLoop {s.get('crashloop', 0)}") + + # Node 摘要 + nodes = diagnosis["checks"].get("nodes", {}) + if nodes.get("summary"): + s = nodes["summary"] + lines.append(f"## Node 状态: 总计 {s['total']}, Ready {s['ready']}, NotReady {s['not_ready']}") + + # Deployment 摘要 + deps = diagnosis["checks"].get("deployments", {}) + if deps.get("deployments"): + lines.append("## Deployment 状态:") + for d in deps["deployments"]: + lines.append(f" - {d['namespace']}/{d['name']}: {d['ready']}/{d['desired']} ready") + + # 异常事件 + events = diagnosis["checks"].get("events", {}) + if events.get("events"): + lines.append(f"\n## 最近异常事件 (共 {len(events['events'])} 条):") + for ev in events["events"][-20:]: + lines.append(f" - [{ev['type']}] {ev['object']}: {ev['reason']} - {ev['message'][:150]}") + + # 资源使用 + usage = diagnosis["checks"].get("resource_usage", {}) + if usage.get("nodes"): + lines.append("\n## 节点资源使用:") + for n in usage["nodes"]: + lines.append(f" - {n['name']}: CPU {n['cpu_pct']}%, 内存 {n['mem_pct']}%") + + return "\n".join(lines) diff --git a/backend/main.py b/backend/main.py new file mode 100644 index 0000000..4f6c64a --- /dev/null +++ b/backend/main.py @@ -0,0 +1,108 @@ +"""K8S 智能诊断平台 - FastAPI 主应用""" +import os +from datetime import datetime +from fastapi import FastAPI, HTTPException +from fastapi.middleware.cors import CORSMiddleware +from fastapi.staticfiles import StaticFiles +from pydantic import BaseModel +from typing import Optional + +from backend.config import PORT +from backend.diagnosis import run_full_diagnosis, build_diagnosis_report, ALL_CHECKS +from backend.ai_agent import analyze_with_ai, chat_with_ai + +app = FastAPI(title="K8S 智能诊断平台", version="1.0.0") + +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_methods=["*"], + allow_headers=["*"], +) + +# 存储最近诊断结果 (内存) +_last_diagnosis: Optional[dict] = None +_last_report: str = "" + + +class DiagnoseRequest(BaseModel): + namespace: str = "" + checks: Optional[list[str]] = None + + +class AnalyzeRequest(BaseModel): + question: str = "" + + +class ChatRequest(BaseModel): + messages: list[dict] + + +@app.get("/api/health") +async def health(): + return {"status": "ok", "time": datetime.now().isoformat()} + + +@app.get("/api/checks") +async def list_checks(): + """列出所有可用诊断项""" + return { + "checks": [ + {"name": name, "title": fn.__doc__ or name} + for name, fn in ALL_CHECKS.items() + ] + } + + +@app.post("/api/diagnose") +async def diagnose(req: DiagnoseRequest): + """执行一键诊断""" + global _last_diagnosis, _last_report + _last_diagnosis = await run_full_diagnosis(namespace=req.namespace, checks=req.checks) + _last_report = build_diagnosis_report(_last_diagnosis) + return _last_diagnosis + + +@app.get("/api/diagnosis/latest") +async def get_latest(): + """获取最近一次诊断结果""" + if _last_diagnosis is None: + raise HTTPException(status_code=404, detail="暂无诊断记录，请先执行诊断") + return _last_diagnosis + + +@app.post("/api/analyze") +async def analyze(req: AnalyzeRequest): + """AI 分析诊断结果""" + global _last_diagnosis, _last_report + if _last_diagnosis is None: + _last_diagnosis = await run_full_diagnosis() + _last_report = build_diagnosis_report(_last_diagnosis) + result = await analyze_with_ai(_last_report, question=req.question) + return result + + +@app.post("/api/chat") +async def chat(req: ChatRequest): + """AI 多轮对话 (基于诊断上下文追问)""" + result = await chat_with_ai(req.messages, context=_last_report) + return result + + +@app.get("/api/report") +async def get_report(): + """获取诊断报告文本""" + if not _last_report: + raise HTTPException(status_code=404, detail="暂无诊断报告") + return {"report": _last_report} + + +# 静态文件服务 (前端) +static_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "frontend", "dist") +if os.path.isdir(static_dir): + app.mount("/", StaticFiles(directory=static_dir, html=True), name="static") + + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=PORT) diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..d6f7ba1 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,12 @@ + + + + + + K8S 智能诊断平台 + + +
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'element-plus/dist/index.css' +import zhCn from 'element-plus/es/locale/lang/zh-cn' +import * as ElementPlusIconsVue from '@element-plus/icons-vue' +import App from './App.vue' + +const app = createApp(App) +app.use(ElementPlus, { locale: zhCn }) +for (const [key, component] of Object.entries(ElementPlusIconsVue)) { + app.component(key, component) +} +app.mount('#app') diff --git a/frontend/vite.config.js b/frontend/vite.config.js new file mode 100644 index 0000000..ed90458 --- /dev/null +++ b/frontend/vite.config.js @@ -0,0 +1,18 @@ +import { defineConfig } from 'vite' +import vue from '@vitejs/plugin-vue' + +export default defineConfig({ + plugins: [vue()], + server: { + port: 3001, + proxy: { + '/api': { + target: 'http://localhost:8900', + changeOrigin: true, + }, + }, + }, + build: { + outDir: 'dist', + }, +}) diff --git a/start.sh b/start.sh new file mode 100755 index 0000000..5cde9c6 --- /dev/null +++ b/start.sh @@ -0,0 +1,40 @@ +#!/bin/bash +# K8S 智能诊断平台 - 一键启动脚本 +set -e + +cd "$(dirname "$0")" + +PORT=${PORT:-8900} + +echo "=========================================" +echo " K8S 智能诊断平台" +echo " 端口: $PORT" +echo "=========================================" + +# 检查 kubectl +KUBECTL=$(which kubectl 2>/dev/null || echo "$HOME/bin/kubectl") +if [ ! -x "$KUBECTL" ]; then + echo "⚠️ 未找到 kubectl，请先安装" + exit 1 +fi +echo "✅ kubectl: $KUBECTL" + +# 检查 kubeconfig +if [ -f "$HOME/.kube/config" ]; then + echo "✅ kubeconfig: ~/.kube/config" +else + echo "⚠️ 未找到 ~/.kube/config，诊断将返回空结果" + echo " 请将 kubeconfig 放到 ~/.kube/config" +fi + +# 检查前端构建 +if [ ! -d "frontend/dist" ]; then + echo "📦 构建前端..." + cd frontend && npx vite build && cd .. +fi + +echo "" +echo "🚀 启动服务: http://localhost:$PORT" +echo "" + +PORT=$PORT python3 -m uvicorn backend.main:app --host 0.0.0.0 --port "$PORT"