h0hmj

package main

import (
	"fmt"
	"os"
	"sort"
	"time"

	"github.com/Workiva/go-datastructures/queue"
	"github.com/alecthomas/kong"

h0hmj

root@k8s:~# cat pod.yaml
apiVersion: v1
kind: Pod
metadata:
  name: admin
spec:
  containers:
    - name: shell
      image: ubuntu:22.04
      command: ["sleep", "infinity"]

h0hmj

deleteRules:
  - orgId: 1
    uid: ceph-ceph_mon_down_quorum_at_risk
  - orgId: 1
    uid: ceph-ceph_mon_down
  - orgId: 1
    uid: ceph-ceph_mon_diskspace_critical
  - orgId: 1
    uid: ceph-ceph_mon_diskspace_low
  - orgId: 1

h0hmj

apiVersion: 1
groups:
- folder: ceph-alerts
  interval: 10s
  name: cluster health
  orgId: 1
  rules:
  - annotations:
      description: The cluster state has been HEALTH_ERROR for more than 5 minutes.
        Please check 'ceph health detail' for more information.

h0hmj

#!/usr/bin/python3
import sqlite3  # if you use rqlite, you need to change db connection things
import yaml
import os
import logging

DBPATH = "/root/.curveadm/data/curveadm.db"
CLUSTER_NAME = "test"
IMAGE = "curveadm-harbor.org:8888/curve/curvebs:v1.2.7-rc3_47a5267"
DATA_DIR_PREFIX = "/test/data"

h0hmj

import os
import yaml
import sqlite3


class CurveadmHostsHandler:
    def __init__(self):
        self.data = None

    def load(self, path=None):

h0hmj

#!/usr/bin/python3

import requests

def _make_http_request_retard(url, payload: dict, method='GET'):
    payload_str = "&".join("%s=%s" % (k, v) for k, v in payload.items())
    response = requests.request(method, url, params=payload_str)
    return response.content

snapclone_api_url = "http://127.0.0.1:5555/SnapshotCloneService"

h0hmj

(venv) root@uuu:~# dpkg -l|grep amdgpu
ii  amdgpu-core                           1:5.4.50403-1538762.22.04               all          Core meta package for unified amdgpu driver.
ii  amdgpu-dkms                           1:5.18.13.50403-1538762.22.04           all          amdgpu driver in DKMS format.
ii  amdgpu-dkms-firmware                  1:5.18.13.50403-1538762.22.04           all          firmware blobs used by amdgpu driver in DKMS format
ii  amdgpu-install                        5.4.50403-1538762.22.04                 all          AMDGPU driver repository and installer
ii  amdgpu-lib                            1:5.4.50403-1538762.22.04               amd64        Meta package to install amdgpu userspace components.
ii  amdgpu-lib32                          1:5.4.50403-1538762.22.04               amd64        Meta package to support i386 runtime on amd64 architecture
ii  gst-omx-amdgpu                        1:1.0.0.1.50403-1538762.22.04           amd64        GStreamer OpenMAX plugins
ii  libdrm-amdgp

h0hmj

Collecting environment information...
PyTorch version: 2.0.0+rocm5.4.2
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 5.4.22803-474e8620

OS: Ubuntu 22.04.2 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: version 3.25.0

h0hmj

apiVersion: v1
kind: Pod
metadata:
  name: curvefs-csi-test
spec:
  containers:
  - name: web-server
    image: nginx
    volumeMounts:
    - name: mypvc