Kubernetes/k8s2d2.py - Diagram with python and D2: Difference between revisions
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<pre> | <pre> | ||
#!/usr/bin/env python3 | #!/usr/bin/env python3 | ||
# connects to you k8s cluster create d2 source file. | |||
# https://kubernetes.io/ | |||
# https://d2lang.com/ | |||
# https://github.com/MrBlenny/py-d2 | |||
from kubernetes import client, config | from kubernetes import client, config |
Latest revision as of 20:39, 25 March 2024
This python script will read your kubernetes and write a D2 file from which you can make a diagram.
So far: service -> deployment -> hpa
Missing: sts, cron, ingress, gateway, configmaps, secrets, mounts, pvc.
#!/usr/bin/env python3 # connects to you k8s cluster create d2 source file. # https://kubernetes.io/ # https://d2lang.com/ # https://github.com/MrBlenny/py-d2 from kubernetes import client, config import argparse import pprint from py_d2.connection import D2Connection from py_d2.diagram import D2Diagram from py_d2.shape import D2Shape pp = pprint.PrettyPrinter(indent=4) config.load_kube_config() parser = argparse.ArgumentParser() parser.add_argument('--namespace', type=str, help='kubernetes namespace', default="default"); args = parser.parse_args() # k8s apis clients, why three? core = client.CoreV1Api() v1 = client.AppsV1Api() autoscaleapi = client.AutoscalingV1Api() network_api = client.NetworkingV1Api() # diagram setup containers diagram = D2Diagram() cluster = D2Shape(name="kubernetes_cluster", label="cluster name: staging-gcp-env-gke") namespace = D2Shape(name="namespace", label="namespace:"+args.namespace) cluster.add_shape(namespace) diagram.add_shape(cluster) try: deployments = v1.list_namespaced_deployment(args.namespace) for i in deployments.items: # pp.pprint(i) print("deployment {}\t{}".format(i.metadata.name, i.metadata.namespace)) namespace.add_shape(D2Shape(name="deploy."+i.metadata.name,label="deploy: " + i.metadata.name)) except Exception as e: print("Exception when calling v1.list_namespaced_horizontal_pod_autoscaler: %s\n" % e) try: hpas = autoscaleapi.list_namespaced_horizontal_pod_autoscaler(args.namespace) for i in hpas.items: print("hpa {}\t{}".format(i.metadata.name, i.metadata.namespace)) namespace.add_shape(D2Shape(name="hpa."+i.metadata.name,label="hpa: "+i.metadata.name)) namespace.add_connection(D2Connection(shape_2="hpa."+i.metadata.name, shape_1="deploy."+i.spec.scale_target_ref.name)) except Exception as e: print("Exception when calling v1.list_namespaced_horizontal_pod_autoscaler: %s\n" % e) try: services = core.list_namespaced_service(args.namespace) for i in services.items: # print("service {}\t{}".format(i.metadata.name, i.metadata.namespace)) namespace.add_shape(D2Shape(name="service."+i.metadata.name,label="service: "+i.metadata.name)) # find the deploy this service points at. for deploy in deployments.items: if deploy.spec.selector.match_labels == i.spec.selector: #print("selectors match") #pp.pprint(deploy.spec.selector.match_labels) #print("---") #pp.pprint(i.spec.selector) #print("---") namespace.add_connection(D2Connection(shape_1="service."+i.metadata.name, shape_2="deploy."+deploy.metadata.name)) except Exception as e: print("Exception when calling core.list_namespaced_service: %s\n" % e) try: # ingress = v1.list_namespaced_deployment(args.namespace) ingress = network_api.list_namespaced_ingress(args.namespace) for i in ingress.items: # pp.pprint(i) print("ingress {}\t{}".format(i.metadata.name, i.metadata.namespace)) namespace.add_shape(D2Shape(name="ingress."+i.metadata.name,label="ingress: " + i.metadata.name)) if i.spec.default_backend.service.name: print ( "{}".format(i.spec.default_backend.service.name)) namespace.add_connection(D2Connection(shape_1="ingress."+i.metadata.name, shape_2="service."+i.spec.default_backend.service.name)) except Exception as e: print("Exception when calling network_api.list_namespaced_ingress(args.namespace) : {}".format(e)) with open("namespace.d2", "w", encoding="utf-8") as f: f.write(str(diagram))