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annotate kube.py @ 295:2543a0c2b59f

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upgr skaffold
author drewp@bigasterisk.com
date Tue, 07 May 2024 16:55:42 -0700
parents 7f0482453ead
children a3b7b558b9b5
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1 import os
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2
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3 from pyinfra import host
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4 from pyinfra.facts.files import FindInFile
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5 from pyinfra.facts.server import Arch, LinuxDistribution
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6 from pyinfra.operations import files, server, systemd
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7
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8 # https://github.com/GoogleContainerTools/skaffold/releases
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9 skaffold_version = 'v2.11.1'
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12 def download_k3s(k3s_version):
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13 tail = 'k3s' if host.get_fact(Arch) == 'x86_64' else 'k3s-armhf'
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14 if host.get_fact(Arch) == 'aarch64':
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15 tail = 'k3s-arm64'
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16 files.download(
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17 src=f'https://github.com/rancher/k3s/releases/download/{k3s_version}/{tail}',
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18 dest='/usr/local/bin/k3s',
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19 user='root',
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20 group='root',
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21 mode='755',
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22 cache_time=43000,
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23 # force=True, # to get a new version
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24 )
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27 def install_skaffold():
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28 files.download(src=f'https://storage.googleapis.com/skaffold/releases/{skaffold_version}/skaffold-linux-amd64',
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29 dest='/usr/local/bin/skaffold',
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30 user='root',
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31 group='root',
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32 mode='755',
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33 cache_time=1000)
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34 # one time; writes to $HOME
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35 server.shell(commands="skaffold config set --global insecure-registries reg:5000")
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37
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38 def host_prep():
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39 server.sysctl(key='net.ipv4.ip_forward', value="1", persist=True)
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40 server.sysctl(key='net.ipv6.conf.all.forwarding', value="1", persist=True)
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41 server.sysctl(key='fs.inotify.max_user_instances', value='8192', persist=True)
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42 server.sysctl(key='fs.inotify.max_user_watches', value='524288', persist=True)
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43
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44 # https://sysctl-explorer.net/net/ipv4/rp_filter/
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45 none, strict, loose = 0, 1, 2
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46 server.sysctl(key='net.ipv4.conf.default.rp_filter', value=loose, persist=True)
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49 # don't try to get aufs-dkms on rpi-- https://github.com/docker/for-linux/issues/709
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50 def podman_insecure_registry(reg):
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51 files.template(src='templates/kube/podman_registries.conf.j2', dest='/etc/containers/registries.conf.d/reg.conf', reg=reg)
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52 systemd.service(service='podman', user_mode=True)
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53 systemd.service(service='podman.socket', user_mode=True)
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56 def config_and_run_service(k3s_version, server_node, server_ip):
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57 download_k3s(k3s_version)
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58 service_name = 'k3s.service' if host.name == server_node else 'k3s-node.service'
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59 role = 'server' if host.name == server_node else 'agent'
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60 which_conf = 'config-server.yaml.j2' if host.name == server_node else 'config-agent.yaml.j2'
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61
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62 files.put(src="files/kube/kubelet.config", dest="/etc/rancher/k3s/kubelet.config")
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63
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64 # /var/lib/rancher/k3s/server/node-token is the source of the string in secrets/k3s_token,
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65 # so this presumes a previous run
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66 if host.name == server_node:
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67 token = "ununsed"
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68 else:
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69 # this assumes localhost is the k3s server.
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70 if not os.path.exists('/var/lib/rancher/k3s/server/node-token'):
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71 print("first pass is for server only- skipping other nodes")
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72 return
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73 token = open('/var/lib/rancher/k3s/server/node-token', 'rt').read().strip()
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74 files.template(
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75 src=f'templates/kube/{which_conf}',
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76 dest='/etc/k3s_config.yaml',
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77 server_ip=server_ip,
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78 token=token,
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79 wg_ip=host.host_data['wireguard_address'],
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80 )
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81 files.template(
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82 src='templates/kube/k3s.service.j2',
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83 dest=f'/etc/systemd/system/{service_name}',
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84 role=role,
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85 )
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86 if not host.data.get('gpu'):
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87 # no supported gpu
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88 '''
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89 kubectl label --overwrite node bang nvidia.com/gpu.deploy.gpu-feature-discovery=false
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90 kubectl label --overwrite node bang nvidia.com/gpu.deploy.container-toolkit=false
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91 kubectl label --overwrite node bang nvidia.com/gpu.deploy.dcgm-exporter=false
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92 kubectl label --overwrite node bang nvidia.com/gpu.deploy.device-plugin=false
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93 kubectl label --overwrite node bang nvidia.com/gpu.deploy.driver=false
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94 kubectl label --overwrite node bang nvidia.com/gpu.deploy.mig-manager=false
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95 kubectl label --overwrite node bang nvidia.com/gpu.deploy.operator-validator=false
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96 '''
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97 systemd.service(service=service_name, daemon_reload=True, enabled=True, restarted=True)
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100 def setupNvidiaToolkit():
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101 # guides:
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102 # https://github.com/NVIDIA/k8s-device-plugin#prerequisites
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103 # https://docs.k3s.io/advanced#nvidia-container-runtime-support
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104 # apply this once to kube-system: https://raw.githubusercontent.com/NVIDIA/k8s-device-plugin/v0.14.3/nvidia-device-plugin.yml
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105 # apply this once: https://raw.githubusercontent.com/NVIDIA/gpu-feature-discovery/v0.8.2/deployments/static/nfd.yaml
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106 # and: kubectl apply -f https://raw.githubusercontent.com/NVIDIA/gpu-feature-discovery/v0.8.2/deployments/static/gpu-feature-discovery-daemonset.yaml
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107
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108 # k3s says they do this:
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109 #server.shell('nvidia-ctk runtime configure --runtime=containerd --config /var/lib/rancher/k3s/agent/etc/containerd/config.toml')
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110
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111 # then caller restarts k3s which includes containerd
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112
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113 # tried https://github.com/k3s-io/k3s/discussions/9231#discussioncomment-8114243
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114 pass
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115
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116
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117 def make_cluster(
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118 server_ip,
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119 server_node,
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120 nodes,
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121 # https://github.com/k3s-io/k3s/releases
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122 # 1.23.6 per https://github.com/cilium/cilium/issues/20331
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123 k3s_version,
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124 ):
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125
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126 if host.name in nodes + [server_node]:
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127 host_prep()
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128 files.directory(path='/etc/rancher/k3s')
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129
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130 # docs: https://rancher.com/docs/k3s/latest/en/installation/private-registry/
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131 # user confusions: https://github.com/rancher/k3s/issues/1802
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132 files.template(src='templates/kube/registries.yaml.j2', dest='/etc/rancher/k3s/registries.yaml', reg='reg:5000')
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133 # also note that podman dropped the default `docker.io/` prefix on image names (see https://unix.stackexchange.com/a/701785/419418)
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134 config_and_run_service(k3s_version, server_node, server_ip)
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135
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136 if host.data.get('k8s_admin'):
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137 podman_insecure_registry(reg='reg:5000')
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138 files.directory(path='/etc/rancher/k3s')
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139 install_skaffold()
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140 files.link(path='/usr/local/bin/kubectl', target='/usr/local/bin/k3s')
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141 files.directory(path='/home/drewp/.kube', user='drewp', group='drewp')
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142
204
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143 # assumes our pyinfra process is running on server_node
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144 files.put(
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145 src='/etc/rancher/k3s/k3s.yaml',
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146 dest='/etc/rancher/k3s/k3s.yaml', #
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147 user='root',
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148 group='drewp',
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149 mode='640')
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150 server.shell(
288
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151 commands=f"kubectl config set-cluster default --server=https://{server_ip}:6443 --kubeconfig=/etc/rancher/k3s/k3s.yaml"
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152 )
204
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153
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154
288
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155 make_cluster(
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156 server_ip="10.5.0.7",
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157 server_node='ditto',
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158 nodes=[
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159 'bang',
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160 'slash',
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161 'dash',
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162 'ws-printer',
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163 # 'gn-music',
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164 'li-drums',
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165 ],
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166 k3s_version='v1.29.1+k3s1')
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167
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168 # consider https://github.com/derailed/k9s/releases/download/v0.32.4/k9s_Linux_amd64.tar.gz