{
    "steady_states": {
        "elems": [
            {
                "id": 0,
                "name": "PodRunning",
                "description": "The Pod named 'example-pod' must be in a running state to ensure that the Nginx web server is available to serve HTTP traffic. This is critical because the Pod's restart policy is set to 'Never', meaning it won't automatically restart if it fails.",
                "inspection": {
                    "tool_type": "k8s",
                    "duration": "5s",
                    "script": {
                        "path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/k8s_PodRunning.py",
                        "content": "import os\nimport time\nfrom kubernetes import client, config\n\ndef check_pod_running_status(namespace, pod_name):\n    # Load Kubernetes configuration based on the environment\n    if os.getenv('KUBERNETES_SERVICE_HOST'):\n        config.load_incluster_config()\n    else:\n        config.load_kube_config()\n\n    v1 = client.CoreV1Api()\n    try:\n        pod = v1.read_namespaced_pod(name=pod_name, namespace=namespace)\n        return pod.status.phase == 'Running'\n    except client.exceptions.ApiException as e:\n        print(f\"Exception when calling CoreV1Api->read_namespaced_pod: {e}\")\n        return False\n\n\ndef main(duration):\n    namespace = 'default'\n    pod_name = 'example-pod'\n    for _ in range(duration):\n        is_running = check_pod_running_status(namespace, pod_name)\n        print(f\"Pod '{pod_name}' running status: {is_running}\")\n        time.sleep(1)\n\nif __name__ == '__main__':\n    import argparse\n    parser = argparse.ArgumentParser(description='Check if a Kubernetes Pod is running.')\n    parser.add_argument('--duration', type=int, default=5, help='Duration to check the pod status in seconds')\n    args = parser.parse_args()\n    main(args.duration)",
                        "work_dir": "sandbox/cycle_20241002_041546/hypothesis/steady_states",
                        "fname": "k8s_PodRunning.py"
                    },
                    "result": "Pod 'example-pod' running status: True\nPod 'example-pod' running status: True\nPod 'example-pod' running status: True\nPod 'example-pod' running status: True\nPod 'example-pod' running status: True\n"
                },
                "threshold": {
                    "threshold": "Pod 'example-pod' must be in 'Running' state for at least 95% of the time during the 1-minute observation period.",
                    "reason": "The current state shows that the pod is consistently in the 'Running' state. Setting a threshold of 95% allows for a small tolerance for transient issues or delays in status updates, ensuring that the pod is generally available to serve HTTP traffic as expected."
                },
                "unittest": {
                    "path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_PodRunning_mod0.py",
                    "content": "import os\nimport time\nimport argparse\nfrom kubernetes import client, config\nfrom unittest_base import K8sAPIBase\n\nclass TestPodRunningState(K8sAPIBase):\n    def __init__(self):\n        super().__init__()\n\n    def check_pod_running_status(self, namespace, pod_name):\n        try:\n            pod = self.v1.read_namespaced_pod(name=pod_name, namespace=namespace)\n            return pod.status.phase == 'Running'\n        except client.exceptions.ApiException as e:\n            print(f\"Exception when calling CoreV1Api->read_namespaced_pod: {e}\")\n            return False\n\n    def test_pod_running_state(self, duration):\n        namespace = 'default'\n        pod_name = 'example-pod'\n        running_count = 0\n\n        # Check the pod status for the specified duration\n        for _ in range(duration):\n            if self.check_pod_running_status(namespace, pod_name):\n                running_count += 1\n            time.sleep(1)\n\n        # Calculate the percentage of time the pod was running\n        running_percentage = (running_count / duration) * 100\n\n        # Assert that the pod was running for at least 95% of the time\n        assert running_percentage >= 95, f\"Pod '{pod_name}' was not running for at least 95% of the time. Actual: {running_percentage}%\"\n\n\ndef main():\n    parser = argparse.ArgumentParser(description='Test if a Kubernetes Pod is running for at least 95% of the time.')\n    parser.add_argument('--duration', type=int, default=60, help='Duration to check the pod status in seconds')\n    args = parser.parse_args()\n\n    test = TestPodRunningState()\n    test.test_pod_running_state(args.duration)\n\n\nif __name__ == '__main__':\n    main()",
                    "work_dir": "sandbox/cycle_20241002_041546/hypothesis/steady_states",
                    "fname": "unittest_PodRunning_mod0.py"
                }
            },
            {
                "id": 1,
                "name": "ServiceTrafficRouting",
                "description": "The Service named 'example-service' must correctly route HTTP traffic to the 'example-pod'. This ensures that incoming requests on port 80 are forwarded to the Pod's container port 80, allowing the Nginx server to handle the requests. This is crucial for maintaining the availability and functionality of the web service.",
                "inspection": {
                    "tool_type": "k6",
                    "duration": "5s",
                    "script": {
                        "path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/k6_ServiceTrafficRouting.js",
                        "content": "import http from 'k6/http';\nimport { check } from 'k6';\n\nexport const options = {\n  vus: 10,\n  duration: '5s',\n};\n\nexport default function () {\n  const res = http.get('http://example-service.default.svc.cluster.local');\n  check(res, {\n    'status is 200': (r) => r.status === 200,\n    'body contains Nginx': (r) => r.body.includes('Welcome to nginx!'),\n  });\n}",
                        "work_dir": "sandbox/cycle_20241002_041546/hypothesis/steady_states",
                        "fname": "k6_ServiceTrafficRouting.js"
                    },
                    "result": "\n     \u2713 status is 200\n     \u2713 body contains Nginx\n\n     checks.........................: 100.00% 155310 out of 155310\n     data_received..................: 66 MB   13 MB/s\n     data_sent......................: 8.3 MB  1.7 MB/s\n     http_req_blocked...............: avg=9.69\u00b5s   min=1.12\u00b5s   med=3.91\u00b5s   max=2.67ms p(90)=7.32\u00b5s   p(95)=11.25\u00b5s \n     http_req_connecting............: avg=2.12\u00b5s   min=0s       med=0s       max=1.97ms p(90)=0s       p(95)=0s      \n     http_req_duration..............: avg=479.89\u00b5s min=119.04\u00b5s med=428.92\u00b5s max=4.61ms p(90)=560.76\u00b5s p(95)=699.12\u00b5s\n       { expected_response:true }...: avg=479.89\u00b5s min=119.04\u00b5s med=428.92\u00b5s max=4.61ms p(90)=560.76\u00b5s p(95)=699.12\u00b5s\n     http_req_failed................: 0.00%   0 out of 77655\n     http_req_receiving.............: avg=66.68\u00b5s  min=11.14\u00b5s  med=44.82\u00b5s  max=4.23ms p(90)=85.18\u00b5s  p(95)=156.23\u00b5s\n     http_req_sending...............: avg=20.79\u00b5s  min=3.38\u00b5s   med=12.46\u00b5s  max=3.73ms p(90)=21.17\u00b5s  p(95)=36.09\u00b5s \n     http_req_tls_handshaking.......: avg=0s       min=0s       med=0s       max=0s     p(90)=0s       p(95)=0s      \n     http_req_waiting...............: avg=392.41\u00b5s min=63.19\u00b5s  med=367.04\u00b5s max=2.91ms p(90)=468.66\u00b5s p(95)=559.1\u00b5s \n     http_reqs......................: 77655   15526.275997/s\n     iteration_duration.............: avg=625.21\u00b5s min=190.36\u00b5s med=535.1\u00b5s  max=7.11ms p(90)=755.8\u00b5s  p(95)=1.41ms  \n     iterations.....................: 77655   15526.275997/s\n     vus............................: 10      min=10               max=10\n     vus_max........................: 10      min=10               max=10\n\n"
                },
                "threshold": {
                    "threshold": "http_req_failed: <= 0.01%",
                    "reason": "The current state shows 0.00% failed requests, indicating a highly reliable service. Setting a threshold of <= 0.01% allows for a small tolerance while maintaining high availability and reliability of the service. This ensures that the ServiceTrafficRouting is functioning correctly, with minimal disruptions, and aligns with the current performance."
                },
                "unittest": {
                    "path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_ServiceTrafficRouting_mod0.js",
                    "content": "import http from 'k6/http';\nimport { check } from 'k6';\n\nexport const options = {\n  vus: 10,\n  duration: '5s',\n  thresholds: {\n    // Adding a threshold to ensure that the percentage of failed HTTP requests is less than or equal to 0.01%\n    'http_req_failed': ['rate<=0.01'],\n  },\n};\n\nexport default function () {\n  const res = http.get('http://example-service.default.svc.cluster.local');\n  check(res, {\n    'status is 200': (r) => r.status === 200,\n    'body contains Nginx': (r) => r.body.includes('Welcome to nginx!'),\n  });\n}",
                    "work_dir": "sandbox/cycle_20241002_041546/hypothesis/steady_states",
                    "fname": "unittest_ServiceTrafficRouting_mod0.js"
                }
            }
        ]
    },
    "faults": {
        "elems": [
            {
                "event": "Cyber attack causing network disruption and resource exhaustion",
                "faults": [
                    [
                        {
                            "name": "NetworkChaos",
                            "name_id": 0,
                            "params": {
                                "action": "delay",
                                "direction": "to",
                                "target": {
                                    "mode": "all",
                                    "selector": {
                                        "namespaces": [
                                            "default"
                                        ],
                                        "labelSelectors": {
                                            "app": "example"
                                        }
                                    }
                                },
                                "mode": "all",
                                "selector": {
                                    "namespaces": [
                                        "default"
                                    ],
                                    "labelSelectors": {
                                        "app": "example"
                                    }
                                },
                                "device": "eth0",
                                "delay": {
                                    "latency": "100ms",
                                    "jitter": "10ms"
                                }
                            }
                        }
                    ],
                    [
                        {
                            "name": "StressChaos",
                            "name_id": 0,
                            "params": {
                                "stressors": {
                                    "cpu": {
                                        "workers": 1,
                                        "load": 100
                                    }
                                },
                                "mode": "one",
                                "selector": {
                                    "namespaces": [
                                        "default"
                                    ],
                                    "labelSelectors": {
                                        "app": "example"
                                    }
                                },
                                "containerNames": [
                                    "example-container"
                                ]
                            }
                        }
                    ],
                    [
                        {
                            "name": "PodChaos",
                            "name_id": 0,
                            "params": {
                                "action": "pod-kill",
                                "mode": "one",
                                "selector": {
                                    "namespaces": [
                                        "default"
                                    ],
                                    "labelSelectors": {
                                        "app": "example"
                                    }
                                }
                            }
                        }
                    ]
                ],
                "description": "The system's weak points include the single Pod setup with a 'Never' restart policy and the reliance on network connectivity for service routing. The Pod's inability to restart automatically makes it vulnerable to failures, and network issues can disrupt traffic routing. Related fault types include PodChaos to simulate Pod failures, NetworkChaos to simulate network disruptions, and StressChaos to simulate resource exhaustion. To break the system, we can first introduce network latency to disrupt traffic routing, then apply CPU stress to exhaust resources on the Pod, and finally, simulate a Pod failure to test the system's resilience.",
                "effects": {
                    "PodRunning": "The Pod 'example-pod' may fail to remain in the 'Running' state due to resource exhaustion and simulated Pod failure, causing it to fall below the 95% threshold.",
                    "ServiceTrafficRouting": "Network latency and Pod failure can lead to increased HTTP request failures, potentially exceeding the 0.01% threshold, disrupting service availability."
                }
            }
        ]
    }
}