def deploy_gardenlinux_cache(
kubernetes_config: KubernetesConfig,
gardenlinux_cache_config: GardenlinuxCacheConfig,
chart_dir: str,
deployment_name: str,
):
not_empty(deployment_name)
cfg_factory = global_ctx().cfg_factory()
chart_dir = os.path.abspath(chart_dir)
kube_ctx.set_kubecfg(kubernetes_config.kubeconfig())
ensure_cluster_version(kubernetes_config)
ingress_config = cfg_factory.ingress(
gardenlinux_cache_config.ingress_config())
helm_values = create_gardenlinux_cache_helm_values(
gardenlinux_cache_config=gardenlinux_cache_config,
ingress_config=ingress_config,
)
execute_helm_deployment(
kubernetes_config,
gardenlinux_cache_config.namespace(),
chart_dir,
deployment_name,
helm_values,
)
def deploy_monitoring_landscape(
kubernetes_cfg: KubernetesConfig,
concourse_cfg: ConcourseConfig,
cfg_factory: ConfigFactory,
):
# Set the global context to the cluster specified in KubernetesConfig
kube_ctx.set_kubecfg(kubernetes_cfg.kubeconfig())
ensure_cluster_version(kubernetes_cfg)
monitoring_namespace = kubernetes_cfg.monitoring().namespace()
# deploy kube-state-metrics
kube_state_metrics_helm_values = create_kube_state_metrics_helm_values(
monitoring_cfg=kubernetes_cfg.monitoring())
execute_helm_deployment(
kubernetes_cfg,
monitoring_namespace,
'stable/kube-state-metrics',
'kube-state-metrics',
kube_state_metrics_helm_values,
)
# deploy postgresql exporter
postgresql_helm_values = create_postgresql_helm_values(
concourse_cfg=concourse_cfg,
cfg_factory=cfg_factory,
)
execute_helm_deployment(
kubernetes_cfg,
monitoring_namespace,
'stable/prometheus-postgres-exporter',
'prometheus-postgres-exporter',
postgresql_helm_values,
)
def deploy_oauth2_proxy(
kubernetes_config: KubernetesConfig,
oauth2_proxy_config: Oauth2ProxyConfig,
deployment_name: str,
):
not_empty(deployment_name)
cfg_factory = global_ctx().cfg_factory()
kube_ctx.set_kubecfg(kubernetes_config.kubeconfig())
ensure_cluster_version(kubernetes_config)
ingress_config = cfg_factory.ingress(oauth2_proxy_config.ingress_config())
helm_values = create_oauth2_proxy_helm_values(
oauth2_proxy_config=oauth2_proxy_config,
ingress_config=ingress_config,
deployment_name=deployment_name,
)
execute_helm_deployment(
kubernetes_config,
oauth2_proxy_config.namespace(),
'stable/oauth2-proxy',
deployment_name,
helm_values,
)
def deploy_tekton_dashboard_ingress(
kubernetes_config: KubernetesConfig,
tekton_dashboard_ingress_config: TektonDashboardIngressConfig,
chart_dir: str,
deployment_name: str,
):
not_empty(deployment_name)
cfg_factory = global_ctx().cfg_factory()
chart_dir = os.path.abspath(chart_dir)
kube_ctx.set_kubecfg(kubernetes_config.kubeconfig())
ensure_cluster_version(kubernetes_config)
ingress_config = cfg_factory.ingress(
tekton_dashboard_ingress_config.ingress_config())
helm_values = create_tekton_dashboard_helm_values(
tekton_dashboard_ingress_config=tekton_dashboard_ingress_config,
ingress_config=ingress_config,
)
execute_helm_deployment(
kubernetes_config,
tekton_dashboard_ingress_config.namespace(),
chart_dir,
deployment_name,
helm_values,
)
def execute_helm_deployment(
kubernetes_config: KubernetesConfig,
namespace: str,
chart_name: str,
release_name: str,
*values: dict,
chart_version: str = None,
):
yaml.add_representer(LiteralStr, literal_str_representer)
helm_executable = ensure_helm_setup()
# create namespace if absent
namespace_helper = kube_ctx.namespace_helper()
if not namespace_helper.get_namespace(namespace):
namespace_helper.create_namespace(namespace)
KUBECONFIG_FILE_NAME = "kubecfg"
# prepare subprocess args using relative file paths for the values files
subprocess_args = [
helm_executable,
"upgrade",
release_name,
chart_name,
"--install",
"--force",
"--recreate-pods",
"--wait",
"--namespace",
namespace,
]
if chart_version:
subprocess_args += ["--version", chart_version]
for idx, _ in enumerate(values):
subprocess_args.append("--values")
subprocess_args.append("value" + str(idx))
helm_env = os.environ.copy()
helm_env['KUBECONFIG'] = KUBECONFIG_FILE_NAME
# create temp dir containing all previously referenced files
with tempfile.TemporaryDirectory() as temp_dir:
for idx, value in enumerate(values):
with open(os.path.join(temp_dir, "value" + str(idx)), 'w') as f:
yaml.dump(value, f)
with open(os.path.join(temp_dir, KUBECONFIG_FILE_NAME), 'w') as f:
yaml.dump(kubernetes_config.kubeconfig(), f)
# run helm from inside the temporary directory so that the prepared file paths work
subprocess.run(subprocess_args, check=True, cwd=temp_dir, env=helm_env)