{
    "time_schedule": {
        "thought": "Given the constraints of the experiment needing to be completed within 1 minute, we need to carefully allocate time to each phase to ensure meaningful results. The pre-validation phase is crucial to confirm that the system is in a steady state before introducing any faults. Since the PodRunning steady state requires a 1-minute observation period, we will allocate 20 seconds to pre-validation to quickly verify the current state. The fault-injection phase is the core of the experiment, where we introduce the faults to observe the system's behavior. We will allocate 30 seconds to this phase, allowing enough time to introduce the network delay, CPU stress, and Pod failure faults sequentially. Finally, the post-validation phase is essential to ensure the system returns to its steady state after the faults are removed. We will allocate 10 seconds to this phase to quickly verify the system's recovery. This allocation ensures that the total time of the experiment is 1 minute, with a balanced focus on validation and fault injection.",
        "total_time": "1m",
        "pre_validation_time": "20s",
        "fault_injection_time": "30s",
        "post_validation_time": "10s"
    },
    "pre_validation": {
        "thought": "In the pre-validation phase, we need to ensure that the system is in its expected steady states before we proceed with fault injection. Given the constraints, we have 20 seconds to perform these checks. The two steady states to verify are 'PodRunning' and 'ServiceTrafficRouting'. Since the 'PodRunning' state requires checking the pod's status over a 1-minute period, we will perform a quick check to ensure the pod is currently running. For 'ServiceTrafficRouting', we will perform a brief HTTP request test to ensure the service is routing traffic correctly. These checks will be executed sequentially due to the short time frame, ensuring that each steady state is verified before moving to the next phase.",
        "unit_tests": [
            {
                "name": "PodRunning",
                "grace_period": "0s",
                "duration": "10s",
                "workflow_name": "pre-unittest-podrunning",
                "deadline": "40s",
                "file_path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_PodRunning_mod0.py"
            },
            {
                "name": "ServiceTrafficRouting",
                "grace_period": "10s",
                "duration": "10s",
                "workflow_name": "pre-unittest-servicetrafficrouting",
                "deadline": "40s",
                "file_path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_ServiceTrafficRouting_mod0.js"
            }
        ]
    },
    "fault_injection": {
        "thought": "In this fault-injection phase, we have a total of 30 seconds to execute the chaos experiments. The goal is to observe the system's behavior under stress and network disruptions, as well as its ability to handle a pod failure. Given the constraints, we will stagger the fault injections to maximize the observation of their impacts on the system. \n\nFirst, we will introduce network latency using NetworkChaos. This will simulate a network disruption, potentially affecting the ServiceTrafficRouting steady state. We will start this fault at the beginning of the phase and let it run for 10 seconds. \n\nNext, we will introduce CPU stress using StressChaos. This will simulate resource exhaustion on the pod, potentially affecting both the PodRunning and ServiceTrafficRouting steady states. We will start this fault 10 seconds into the phase and let it run for 10 seconds. \n\nFinally, we will simulate a pod failure using PodChaos. This will directly impact the PodRunning steady state. We will start this fault 20 seconds into the phase and let it run for 10 seconds. \n\nBy staggering the faults in this manner, we can observe the compounded effects of network disruption, resource exhaustion, and pod failure on the system's steady states.",
        "fault_injection": [
            {
                "name": "NetworkChaos",
                "name_id": 0,
                "grace_period": "0s",
                "duration": "10s",
                "workflow_name": "fault-networkchaos",
                "deadline": "10s",
                "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,
                "grace_period": "10s",
                "duration": "10s",
                "workflow_name": "fault-stresschaos",
                "deadline": "10s",
                "params": {
                    "stressors": {
                        "cpu": {
                            "workers": 1,
                            "load": 100
                        }
                    },
                    "mode": "one",
                    "selector": {
                        "namespaces": [
                            "default"
                        ],
                        "labelSelectors": {
                            "app": "example"
                        }
                    },
                    "containerNames": [
                        "example-container"
                    ]
                }
            },
            {
                "name": "PodChaos",
                "name_id": 0,
                "grace_period": "20s",
                "duration": "10s",
                "workflow_name": "fault-podchaos",
                "deadline": "10s",
                "params": {
                    "action": "pod-kill",
                    "mode": "one",
                    "selector": {
                        "namespaces": [
                            "default"
                        ],
                        "labelSelectors": {
                            "app": "example"
                        }
                    }
                }
            }
        ],
        "unit_tests": [
            {
                "name": "PodRunning",
                "grace_period": "0s",
                "duration": "30s",
                "workflow_name": "fault-unittest-podrunning",
                "deadline": "1m",
                "file_path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_PodRunning_mod0.py"
            },
            {
                "name": "ServiceTrafficRouting",
                "grace_period": "0s",
                "duration": "30s",
                "workflow_name": "fault-unittest-servicetrafficrouting",
                "deadline": "1m",
                "file_path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_ServiceTrafficRouting_mod0.js"
            }
        ]
    },
    "post_validation": {
        "thought": "In the post-validation phase, we need to ensure that the system has returned to its steady states after the fault injection. Given the short duration of 10 seconds for this phase, we will conduct quick checks to verify the steady states. The two steady states to verify are 'PodRunning' and 'ServiceTrafficRouting'. Since the phase is only 10 seconds long, we will stagger the unit tests slightly to fit within this timeframe. The 'PodRunning' test will start immediately as it is crucial to ensure the pod is back in the running state. The 'ServiceTrafficRouting' test will follow shortly after, as it depends on the pod being in a running state to route traffic correctly. This approach ensures that we quickly verify the critical components of the system's functionality post-fault injection.",
        "unit_tests": [
            {
                "name": "PodRunning",
                "grace_period": "0s",
                "duration": "5s",
                "workflow_name": "post-unittest-podrunning",
                "deadline": "35s",
                "file_path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_PodRunning_mod0.py"
            },
            {
                "name": "ServiceTrafficRouting",
                "grace_period": "5s",
                "duration": "5s",
                "workflow_name": "post-unittest-servicetrafficrouting",
                "deadline": "35s",
                "file_path": "sandbox/cycle_20241002_041546/hypothesis/steady_states/unittest_ServiceTrafficRouting_mod0.js"
            }
        ]
    },
    "summary": "The Chaos Engineering experiment is structured into three phases, each with specific tasks and timelines to ensure the system's resilience is effectively tested within a total duration of one minute. \n\nIn the pre-validation phase, which lasts for 20 seconds, the system's steady states are verified sequentially. Initially, the 'PodRunning' state is checked for 10 seconds using the 'pre-unittest-podrunning' workflow, starting immediately at the beginning of this phase. Following this, the 'ServiceTrafficRouting' state is verified for another 10 seconds using the 'pre-unittest-servicetrafficrouting' workflow, commencing right after the first check.\n\nThe fault-injection phase spans 30 seconds and involves staggered fault injections to observe their impact on the system. At the start of this phase, the 'NetworkChaos' fault is injected using the 'fault-networkchaos' workflow, running for 10 seconds. Concurrently, the steady states 'PodRunning' and 'ServiceTrafficRouting' are monitored for the entire 30 seconds using the 'fault-unittest-podrunning' and 'fault-unittest-servicetrafficrouting' workflows, respectively. After 10 seconds, the 'StressChaos' fault is introduced using the 'fault-stresschaos' workflow, also lasting 10 seconds. Finally, at the 20-second mark, the 'PodChaos' fault is injected using the 'fault-podchaos' workflow, continuing for the remaining 10 seconds of this phase.\n\nIn the post-validation phase, which is 10 seconds long, the system's recovery to steady states is verified. The 'PodRunning' state is checked first for 5 seconds using the 'post-unittest-podrunning' workflow, starting immediately. Subsequently, the 'ServiceTrafficRouting' state is verified for the final 5 seconds using the 'post-unittest-servicetrafficrouting' workflow. This staggered approach ensures that the system's critical functionalities are quickly assessed post-fault injection."
}