如何为 Kubernetes 集群快速部署一个 ChatGPT 人工智能聊天机器人
公众号关注「奇妙的 Linux 世界」设为「星标」，每天带你玩转 Linux ！今天我想分享一个有趣的项目叫做 “K8s ChatGPT Bot[1]”。该项目的目的是为 K8s 集群部署一个 ChatGPT 机器人。我们可以询问 ChatGPT 帮助我们解决 Prometheus 的警报，可以得到简洁的答复，不再需要一人在黑暗中独自解决警报问题！我们需要用到 Robusta[2]，如果你还没有.
公众号关注 「奇妙的 Linux 世界」
设为「星标」，每天带你玩转 Linux ！
今天我想分享一个有趣的项目叫做 “K8s ChatGPT Bot[1]”。该项目的目的是为 K8s 集群部署一个 ChatGPT 机器人。我们可以询问 ChatGPT 帮助我们解决 Prometheus 的警报，可以得到简洁的答复，不再需要一人在黑暗中独自解决警报问题！
我们需要用到 Robusta[2]，如果你还没有 Robusta，可以参考《K8s — Robusta, K8s Troubleshooting Platform[3]》搭建一个 Robusta 平台。
下图是 Robusta 平台如何工作的截图：
你可以在此处查看完整的演示视频：
https://www.loom.com/share/964cd8735a874287a9155c77320bdcdb
— 1 —
运行 K8s ChatGPT 机器人项目
该机器人项目是基于 Robusta.dev[4] 实现的，Robusta.dev 是一个用于响应 K8s 警报的开源平台。其工作流程大致如下：
Prometheus 使用 Webhook 接收器将警报转发给 Robusta.dev 。
Robusta.dev 询问 ChatGPT 如何修复 Prometheus 警报。
— 2 —
先决条件
Slack
Kubernetes 集群
Python 3.7 及以上
— 3 —
如何安装 Robusta
生成 Robusta 配置文件
为 Robusta 准备 Python 虚拟环境。
$ python3.10 -m venv robusta
$ source robusta/bin/activate
(robusta) $ pip install -U robusta-cli --no-cache
Collecting robusta-cli
Downloading robusta_cli-0.10.10-py3-none-any.whl (223 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 223.8/223.8 kB 30.0 MB/s eta 0:00:00
Collecting pymsteams<0.2.0,>=0.1.16
Downloading pymsteams-0.1.16.tar.gz (7.6 kB)
Preparing metadata (setup.py) ... done
...
Successfully installed PyJWT-2.4.0 appdirs-1.4.4 autopep8-2.0.1 black-21.5b2
cachetools-5.2.1 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1
...
ruamel.yaml.clib-0.2.7 six-1.16.0 slack-sdk-3.19.5 tenacity-8.1.0
toml-0.10.2 tomli-2.0.1 typer-0.4.2 typing-extensions-4.4.0 urllib3-1.26.14
watchgod-0.7 webexteamssdk-1.6.1 websocket-client-1.3.3使用 robusta 生成一个配置文件：
$ robusta gen-config
Robusta reports its findings to external destinations (we call them "sinks").
We'll define some of them now.
Configure Slack integration? This is HIGHLY recommended. [Y/n]: Y
If your browser does not automatically launch, open the below url:
https://api.robusta.dev/integrations/slack?id=xxxx配置 Slack 集成
使用浏览器打开网页：https://api.robusta.dev/integrations/slack?id=xxxx
更新权限：
恭喜你配置 Slack 集成成功。
现在回到我们的 Terminal 终端，我们可以看到以下内容，说明操作成功：
$ robusta gen-config
Robusta reports its findings to external destinations (we call them "sinks").
We'll define some of them now.
Configure Slack integration? This is HIGHLY recommended. [Y/n]: Y
If your browser does not automatically launch, open the below url:
https://api.robusta.dev/integrations/slack?id=xxxx
You've just connected Robusta to the Slack of: devopsfans
Which slack channel should I send notifications to? # k8s-chatgpt-bot
Configure Robusta UI sink? This is HIGHLY recommended. [Y/n]: Y
Enter your Gmail/Google address. This will be used to login: xxx@gmail.com
Choose your account name (e.g your organization name): devopsfans
Successfully registered.
Robusta can use Prometheus as an alert source.
If you haven't installed it yet, Robusta can install a
pre-configured Prometheus.
Would you like to do so? [y/N]: y
Please read and approve our End User License Agreement:
https://api.robusta.dev/eula.html
Do you accept our End User License Agreement? [y/N]: y
Last question! Would you like to help us improve Robusta by sending exception reports? [y/N]: N
Saved configuration to ./generated_values.yaml - save this file for future use!
Finish installing with Helm (see the Robusta docs).
Then login to Robusta UI at https://platform.robusta.dev
By the way, we'll send you some messages later to get feedback.
(We don't store your API key, so we scheduled future messages using Slack's
API)在 slack channel 中，我们还可以看到：
使用 Helm3 安装 Robusta
安装和更新 robusta 仓库。
$ helm repo add robusta https://robusta-charts.storage.googleapis.com && helm repo update
"robusta" has been added to your repositories
Hang tight while we grab the latest from your chart repositories...
...Successfully got an update from the "kedacore" chart repository
...Successfully got an update from the "robusta" chart repository
...Successfully got an update from the "grafana" chart repository
...Successfully got an update from the "prometheus-community" chart repository
...Successfully got an update from the "stable" chart repository
Update Complete. ⎈Happy Helming!⎈更新 generated_values.yaml 文件
使用以下内容更新 generated_values.yaml 文件：
playbookRepos:
chatgpt_robusta_actions:
url: "https://github.com/robusta-dev/kubernetes-chatgpt-bot.git"
customPlaybooks:
# Add the 'Ask ChatGPT' button to all Prometheus alerts
- triggers:
- on_prometheus_alert: {}
actions:
- chat_gpt_enricher: {}
globalConfig:
chat_gpt_token: YOUR KEY GOES HERE将 Robusta 部署到 K8s
$ helm install robusta robusta/robusta -f ./generated_values.yaml \
--set clusterName=dev-cluster验证两个 Robusta pod 正常运行且在日志中没有发现错误日志：
$ kubectl get pods -A | grep robusta
default alertmanager-robusta-kube-prometheus-st-alertmanager-0 2/2 Running 1 (4m19s ago) 9m25s
default prometheus-robusta-kube-prometheus-st-prometheus-0 2/2 Running 0 9m25s
default robusta-forwarder-6b7d8d9d88-2rv9d 1/1 Running 0 9m29s
default robusta-grafana-64944bfcdc-v97xh 3/3 Running 0 9m29s
default robusta-kube-prometheus-st-admission-patch-6zj4b 0/1 Completed 0 9m28s
default robusta-kube-prometheus-st-operator-7b985d7fb-c9f9t 1/1 Running 0 9m29s
default robusta-kube-state-metrics-688d794968-ll6gf 1/1 Running 0 9m29s
default robusta-prometheus-node-exporter-2k5f7 1/1 Running 0 5m24s
default robusta-prometheus-node-exporter-zxsrg 1/1 Running 0 9m29s
default robusta-runner-5868b494d6-m6292 1/1 Running 0 9m29s
$ robusta logs
setting up colored logging
2023-01-14 22:57:01.428 INFO logger initialized using INFO log level
2023-01-14 22:57:01.429 INFO Creating hikaru monkey patches
2023-01-14 22:57:01.429 INFO Creating yaml monkey patch
2023-01-14 22:57:01.429 INFO Creating kubernetes ContainerImage monkey patch
2023-01-14 22:57:01.430 INFO watching dir /etc/robusta/playbooks/ for custom playbooks changes
2023-01-14 22:57:01.431 INFO watching dir /etc/robusta/config/active_playbooks.yaml for custom playbooks changes
2023-01-14 22:57:01.431 INFO Reloading playbook packages due to change on initialization
2023-01-14 22:57:01.431 INFO loading config /etc/robusta/config/active_playbooks.yaml
2023-01-14 22:57:01.467 INFO No custom playbooks defined at /etc/robusta/playbooks/storage
2023-01-14 22:57:01.468 INFO Cloning git repo https://github.com/robusta-dev/kubernetes-chatgpt-bot.git. repo name kubernetes-chatgpt-bot
...
2023-01-14 22:57:07.364 INFO connecting to server as account_id=8302df56-c554-4129-8b95-d143d1f2e3a2; cluster_name=dev-cluster
2023-01-14 22:57:07.977 INFO Initializing services cache
2023-01-14 22:57:08.203 INFO Initializing nodes cache
2023-01-14 22:57:08.395 INFO Initializing jobs cache
2023-01-14 22:57:08.603 INFO Getting events history
2023-01-14 22:57:10.403 INFO Cluster historical data sent.
2023-01-14 23:04:43.681 INFO cluster status {'account_id': '8302df56-c554-4129-8b95-d143d1f2e3a2', 'cluster_id': 'dev-cluster', 'version': '0.10.10', 'last_alert_at': '2023-01-14 23:04:18.959377', 'light_actions': ['related_pods', 'prometheus_enricher', 'add_silence', 'delete_pod', 'delete_silence', 'get_silences', 'logs_enricher', 'pod_events_enricher', 'deployment_events_enricher', 'job_events_enricher', 'job_pod_enricher', 'get_resource_yaml', 'node_cpu_enricher', 'node_disk_analyzer', 'node_running_pods_enricher', 'node_allocatable_resources_enricher', 'node_status_enricher', 'node_graph_enricher', 'oomkilled_container_graph_enricher', 'pod_oom_killer_enricher', 'oom_killer_enricher', 'volume_analysis', 'python_profiler', 'pod_ps', 'python_memory', 'debugger_stack_trace', 'python_process_inspector', 'prometheus_alert', 'create_pvc_snapshot'], 'updated_at': 'now()'}— 4 —
使用 Robusta
现在，我们终于可以使用 Robusta 了！默认情况下，Robusta 在当 K8s Pod 崩溃时发送通知。
因此，让我们创建一个崩溃的 Pod：
$ kubectl apply -f https://gist.githubusercontent.com/robusta-lab/283609047306dc1f05cf59806ade30b6/raw
deployment.apps/crashpod created
$ kubectl get pods -A | grep crash
default crashpod-64db77b594-cgz4s 0/1 CrashLoopBackOff 2 (21s ago) 36s一旦 Pod 达到两次重启，在 Slack channel 我们就将收到有关 Pod 崩溃的消息，如下所示：
— 5 —
与 ChatGPT 互动
经过我们的实验，我们已经确认 Robusta 已与我们的 Slack 和 K8s 集群集成。接下来让我们与 ChatGPT 机器人进行交互！
立即触发 Prometheus 警报，跳过正常延迟：
$ robusta playbooks trigger prometheus_alert alert_name=KubePodCrashLooping namespace=default pod_name=example-pod
======================================================================
Triggering action...
======================================================================
running cmd: curl -X POST http://localhost:5000/api/trigger -H 'Content-Type: application/json' -d
'{"action_name": "prometheus_alert", "action_params":
{"alert_name": "KubePodCrashLooping", "namespace": "default",
"pod_name": "example-pod"}}'
{"success":true}
======================================================================
Fetching logs...
======================================================================
2023-01-14 23:14:33.463 INFO Error loading kubernetes pod default/example-pod. reason: Not Found status: 404
2023-01-14 23:14:33.481 INFO Error loading kubernetes pod default/example-pod. reason: Not Found status: 404
2023-01-14 23:14:33.503 INFO Error loading kubernetes pod default/example-pod. reason: Not Found status: 404
2023-01-14 23:14:33.505 ERROR cannot run pod_events_enricher on alert with no pod object: PrometheusKubernetesAlert(sink_findings=defaultdict(<class 'list'>, {'main_slack_sink': [<robusta.core.reporting.base.Finding object at 0x7fab53074e20>], 'main_ms_teams_sink': [<robusta.core.reporting.base.Finding object at 0x7fab53074700>], 'robusta_ui_sink': [<robusta.core.reporting.base.Finding object at 0x7fab40773a30>]}), named_sinks=['main_slack_sink', 'main_ms_teams_sink', 'robusta_ui_sink'], response={'success': True}, stop_processing=False, _scheduler=<robusta.integrations.scheduled.playbook_scheduler_manager_impl.PlaybooksSchedulerManagerImpl object at 0x7fab4088e0a0>, _context=ExecutionContext(account_id='8302df56-c554-4129-8b95-d143d1f2e3a2', cluster_name='dev-cluster'), obj=None, alert=PrometheusAlert(endsAt=datetime.datetime(2023, 1, 14, 23, 14, 33, 430401), generatorURL='', startsAt=datetime.datetime(2023, 1, 14, 23, 14, 33, 430406), fingerprint='', status='firing', labels={'severity': 'error', 'namespace': 'default', 'alertname': 'KubePodCrashLooping', 'pod': 'example-pod'}, annotations={}), alert_name='KubePodCrashLooping', alert_severity='error', label_namespace='default', node=None, pod=None, deployment=None, job=None, daemonset=None, statefulset=None)
2023-01-14 23:14:33.524 INFO Error loading kubernetes pod default/example-pod. reason: Not Found status: 404
2023-01-14 23:14:33.696 ERROR CallbackBlock not supported for msteams
2023-01-14 23:14:33.697 ERROR error sending message to msteams
e=Invalid URL 'False': No schema supplied. Perhaps you meant http://False?
======================================================================
Done!
======================================================================现在切换到 Slack，我们将看到一个新警报，并且这次带有 “Ask ChatGPT” 的按钮！
就是这样！恭喜，我们刚刚成功安装了我们的第一个 K8s ChatGPT 机器人！
示例 2：节点容量为 100%
下面是一个节点达到 100% 容量的例子：
— 6 —
Robusta UI
Robusta 有一个用于集成的 UI，也有一个预配置的 Promethus 系统，如果你还没有自己的 K8s 集群，并且想尝试一下这个 ChatGPT 机器人，你可以使用 Robusta 现有的！
— 7 —
结论
我们花了一些时间终于把 K8s + ChatGPT 平台搭建起来了。这是一个由爱好者们共同组建的项目，并且此项目具有很大的潜力。我希望你喜欢这篇文章。
如果你还没有自己的 K8s 集群和 Prometheus 监控系统，你可以使用 Robusta 预配置的 Promethus 监控系统。
相关链接：
https://github.com/robusta-dev/kubernetes-chatgpt-bot
https://home.robusta.dev/
https://medium.com/dev-genius/k8s-robusta-k8s-troubleshooting-platform-efd389b47f24
https://github.com/robusta-dev/robusta
本文转载自：「分布式实验室」，原文：https://url.hi-linux.com/rZsHH，版权归原作者所有。欢迎投稿，投稿邮箱: editor@hi-linux.com。
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