from asyncio.log import logger import yaml import logging import os import sys from kubernetes import client, config from kubernetes.client.rest import ApiException import requests from string import Template import string import random import redis import time import urllib3 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) def create_container(image, name, command, args): container = client.V1Container( image=image, name=name, image_pull_policy='IfNotPresent', args=args, command=command, ) logging.info( f"Created container with name: {container.name}, " f"image: {container.image} and args: {container.args}" ) return container def create_pod_template(pod_name, container): pod_template = client.V1PodTemplateSpec( spec=client.V1PodSpec(restart_policy="Never", containers=[container]), metadata=client.V1ObjectMeta(name=pod_name, labels={"pod_name": pod_name, "approle": "chaosnode"}), ) return pod_template def create_job(job_name, pod_template): metadata = client.V1ObjectMeta(name=job_name, labels={"job_name": job_name, "approle": "chaosnode"}) job = client.V1Job( api_version="batch/v1", kind="Job", metadata=metadata, spec=client.V1JobSpec(backoff_limit=0, template=pod_template), ) #logger.info(job) return job r = redis.Redis(unix_socket_path='/tmp/redis.sock') # create logger logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO")) logging.info('Starting script for KubeInvaders programming mode') configuration = client.Configuration() token = os.environ["TOKEN"] configuration.api_key = {"authorization": f"Bearer {token}"} configuration.host = sys.argv[1] configuration.insecure_skip_tls_verify = True configuration.verify_ssl = False client.Configuration.set_default(configuration) client.Configuration.set_default(configuration) api_instance = client.CoreV1Api() batch_api = client.BatchV1Api() namespace = "kubeinvaders" while True: try: api_response = api_instance.list_namespaced_pod(namespace="kubeinvaders") #logging.info(api_response) except ApiException as e: logging.info(e) r.set("current_chaos_job_pod", 0) for pod in api_response.items: if pod.metadata.labels.get('approle') != None and pod.metadata.labels['approle'] == 'chaosnode': if pod.status.phase == "Pending" or pod.status.phase == "Running": r.incr('current_chaos_job_pod') time.sleep(1)