[
    {
        "name": "steady_state_draft",
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            [
                "System: You are a helpful AI assistant for Chaos Engineering. \nGiven K8s manifests that define a network system and user's instructions, you will list steady states (i.e., normal behaviors) of the system that must be retained to maintain the service.\nAlways keep the following rules:\n- Steady states must be measurable states (e.g., the number of pods, throughput, error rates, latency percentiles, etc.).\n- If you identify the resiliency issues of the given K8s manifests,  to confirm whether it's really a problem through Chaos Engineering, prioritize listing the related steady states.\n- list 1-2 of the most important steady states.\n- NEVER list muliple similar steady states. \n- NEVER select states that does not affect the system health directly (e.g., pod restart count).\n- The output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"thought\": {\"title\": \"Thought\", \"description\": \"Describe the key points of the steady states you are about to select (why you should select them). \", \"type\": \"string\"}, \"steady_states\": {\"title\": \"Steady States\", \"descripton\": \"List of diifferent types of steady states. NEVER list muliple similar steady states. When names are similar, add identifying keywords to the names to clarify the differences.\", \"type\": \"array\", \"items\": {\"$ref\": \"#/definitions/SteadyStateName\"}}}, \"required\": [\"thought\", \"steady_states\"], \"definitions\": {\"SteadyStateName\": {\"title\": \"SteadyStateName\", \"type\": \"object\", \"properties\": {\"name\": {\"title\": \"Name\", \"description\": \"Steady state name. Please write using a-z, A-Z, and 0-9.\", \"type\": \"string\"}, \"description\": {\"title\": \"Description\", \"description\": \"Describe the reason for selecting the steady state individually. Additionally, explain in detail how this steady states differs from other listed steady states.\", \"type\": \"string\"}}, \"required\": [\"name\", \"description\"]}}}\n```\nHuman: # Here is the overview of my system.\nThe system consists of the following K8s manifest(s):K8s manifest: nginx_demo/nginx/service.yaml\n```yaml\napiVersion: v1\nkind: Service\nmetadata:\n  name: example-service\nspec:\n  selector:\n    app: example\n  ports:\n    - protocol: TCP\n      port: 80\n      targetPort: 80\n```\nSummary of nginx_demo/nginx/service.yaml:\n- This manifest defines a Kubernetes Service.\n- The Service is named 'example-service'.\n- It uses a selector to target pods with the label 'app: example'.\n- The Service listens on port 80 using the TCP protocol.\n- Traffic received on port 80 is forwarded to the target port 80 on the selected pods.\n\nK8s manifest: nginx_demo/nginx/pod.yaml\n```yaml\napiVersion: v1\nkind: Pod\nmetadata:\n  name: example-pod\n  labels:\n    app: example\nspec:\n  restartPolicy: Never\n  containers:\n  - name: example-container\n    image: nginx:1.17.1\n    ports:\n    - containerPort: 80\n```\nSummary of nginx_demo/nginx/pod.yaml:\n- This manifest defines a Kubernetes Pod.\n- The Pod is named 'example-pod'.\n- It includes metadata with a label 'app: example'.\n- The Pod's restart policy is set to 'Never', meaning it won't restart automatically if it fails.\n- The Pod contains one container named 'example-container'.\n- The container uses the 'nginx:1.17.1' image, which is a specific version of the Nginx web server.\n- The container exposes port 80, which is commonly used for HTTP traffic.\n\nThe intra/inter dependencies of the above K8s manifests are as follows:- Dependencies within nginx_demo/nginx/service.yaml:\nThe Service named 'example-service' depends on the Endpoints resource with the same name 'example-service'. This dependency indicates that the Service will automatically create and manage an Endpoints object that contains the IP addresses and ports of the Pods selected by the Service's selector (app: example). The Endpoints resource is crucial for routing traffic from the Service to the appropriate Pods.\n\n- Dependencies from nginx_demo/nginx/service.yaml to nginx_demo/nginx/pod.yaml:\nThe dependency indicates that the Endpoints resource associated with the Service named 'example-service' is linked to a Pod named 'example-pod'. This means that the Service 'example-service' is configured to route traffic to the Pod 'example-pod', which is selected based on the label 'app: example'. The Endpoints resource dynamically updates to reflect the IP addresses of the Pods that match the Service's selector, ensuring that traffic is correctly routed to the available Pods.\n\nThe expected type of application on the system (i.e., K8s manfests):\nWeb server application using Nginx to serve HTTP traffic.; The manifests provided are for a Kubernetes setup involving a Pod running an Nginx container and a Service to expose this Pod. The file names and the use of the Nginx image suggest that the application is a web server. Nginx is commonly used as a web server to serve static content, reverse proxy, or load balancer. The Service is configured to expose the Pod on port 80, which is the default port for HTTP traffic, further indicating that this setup is intended to serve web content. The logical assumption is that this setup is for a simple web application or a demonstration of serving web pages using Nginx on Kubernetes.\n\n# Please follow the instructions below regarding Chaos Engineering:\n- The Chaos-Engineering experiment must be completed within 1 minute.\n\nPlease list 1-2 of the most important steady states for my system.\nAI: ```json\n{\"thought\":"
            ],
            "{\"thought\":\"The system is a simple web server application using Nginx, exposed via a Kubernetes Service. The key steady states should focus on ensuring the availability and performance of the web service. Since the Pod's restart policy is set to 'Never', it's crucial to ensure that the Pod remains running and responsive to maintain service availability. Additionally, the Service should correctly route traffic to the Pod, ensuring that HTTP requests are served without errors.\",\"steady_states\":[{\"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.\"},{\"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.\"}]}"
        ]
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            [
                "System: You are a helpful AI assistant for Chaos Engineering.\nGiven k8s manifests that define a network system and its steady state, you will determine the way to inspect the steady state.\nAlways keep the following rules:\n- You can use either k8s Client Libraries (Python) or k6 (Javascript) to inspect the steady state.\n- Pay attention to namespace specification. If the namespace is specified in the manifest, it is deployed with the namespace. If not, it is deployed with the 'default' namespace.\n- Use the K8s API for checking the state of Kubernetes resources, and use k6 for obtaining communication statuses/metrics (e.g., request sending, response time, latency, etc.).\n- If you use k6, consider both an appropriate number of virtual users and appropriate test duration.\n- If you use k8s, consider appropriate test duration.\n- The output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"thought\": {\"title\": \"Thought\", \"description\": \"Describe your thoughs for the tool usage. e.g., the reason why you choose the tool and how to use.\", \"type\": \"string\"}, \"tool_type\": {\"title\": \"Tool Type\", \"description\": \"Tool to inspect the steady state. Select from ['k8s', 'k6'].\", \"enum\": [\"k8s\", \"k6\"], \"type\": \"string\"}, \"tool\": {\"title\": \"Tool\", \"description\": \"If tool_tyepe='k8s', write here K8sAPI. If tool_tyepe='k6', write here K6JS.\", \"anyOf\": [{\"$ref\": \"#/definitions/K8sAPI\"}, {\"$ref\": \"#/definitions/K6JS\"}]}}, \"required\": [\"thought\", \"tool_type\", \"tool\"], \"definitions\": {\"K8sAPI\": {\"title\": \"K8sAPI\", \"type\": \"object\", \"properties\": {\"duration\": {\"title\": \"Duration\", \"description\": \"Duration of the status check every second in a for loop. Set appropriate duration to check the steady state (i.e., normal behavior) of the system. The maximum duration is 5s.\", \"type\": \"string\"}, \"python\": {\"title\": \"Python\", \"description\": \"Python code with k8s client libraries to inspect the status of k8s resources (i.e., steady state). Write only the content of the code without enclosing it in a code block. Implement a for loop that checks the status every second for the duration, and print a summary of the results at the end.\\n- To support docker env, please configure the client as follows: ```\\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- Please add a Add a entry point at the bottom to allow the test to be run from the command line.\\n- Please add argparse '--duration' (type=int) so that users can specify the loop duration.\", \"type\": \"string\"}}, \"required\": [\"duration\", \"python\"]}, \"K6JS\": {\"title\": \"K6JS\", \"type\": \"object\", \"properties\": {\"vus\": {\"title\": \"Vus\", \"description\": \"The number of virtual users. You can run a load test with the number of virutal users.\", \"type\": \"integer\"}, \"duration\": {\"title\": \"Duration\", \"description\": \"Duration of the load test. Set appropriate duration to check the steady state (i.e., normal behavior) of the system. The maximum duration is 5s.\", \"type\": \"string\"}, \"js\": {\"title\": \"Js\", \"description\": \"k6 javascript to inspect the steady state. In options in the javascript, set the same 'vus' and 'duration' options as the above. The interval of status check must be 1s. Write only the content of the code without enclosing it in a code block.\", \"type\": \"string\"}}, \"required\": [\"vus\", \"duration\", \"js\"]}}}\n```\nHuman: # Here is the overview of my system:\n<bound method ProcessedData.to_k8s_overview_str of ProcessedData(work_dir='sandbox/cycle_20241002_041546/inputs', input=ChaosEaterInput(skaffold_yaml=File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/skaffold.yaml', content='apiVersion: skaffold/v3\\nkind: Config\\nmetadata:\\n  name: nginx-app\\nmanifests:\\n  rawYaml:\\n    - nginx/pod.yaml\\n    - nginx/service.yaml', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/skaffold.yaml'), files=[File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/service.yaml', content='apiVersion: v1\\nkind: Service\\nmetadata:\\n  name: example-service\\nspec:\\n  selector:\\n    app: example\\n  ports:\\n    - protocol: TCP\\n      port: 80\\n      targetPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/service.yaml'), File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/pod.yaml', content='apiVersion: v1\\nkind: Pod\\nmetadata:\\n  name: example-pod\\n  labels:\\n    app: example\\nspec:\\n  restartPolicy: Never\\n  containers:\\n  - name: example-container\\n    image: nginx:1.17.1\\n    ports:\\n    - containerPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/pod.yaml')], ce_instructions='The Chaos-Engineering experiment must be completed within 1 minute.'), k8s_yamls=[File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/service.yaml', content='apiVersion: v1\\nkind: Service\\nmetadata:\\n  name: example-service\\nspec:\\n  selector:\\n    app: example\\n  ports:\\n    - protocol: TCP\\n      port: 80\\n      targetPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/service.yaml'), File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/pod.yaml', content='apiVersion: v1\\nkind: Pod\\nmetadata:\\n  name: example-pod\\n  labels:\\n    app: example\\nspec:\\n  restartPolicy: Never\\n  containers:\\n  - name: example-container\\n    image: nginx:1.17.1\\n    ports:\\n    - containerPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/pod.yaml')], k8s_summaries=[\"- This manifest defines a Kubernetes Service.\\n- The Service is named 'example-service'.\\n- It uses a selector to target pods with the label 'app: example'.\\n- The Service listens on port 80 using the TCP protocol.\\n- Traffic received on port 80 is forwarded to the target port 80 on the selected pods.\", \"- This manifest defines a Kubernetes Pod.\\n- The Pod is named 'example-pod'.\\n- It includes metadata with a label 'app: example'.\\n- The Pod's restart policy is set to 'Never', meaning it won't restart automatically if it fails.\\n- The Pod contains one container named 'example-container'.\\n- The container uses the 'nginx:1.17.1' image, which is a specific version of the Nginx web server.\\n- The container exposes port 80, which is commonly used for HTTP traffic.\"], k8s_dependencies=K8sDependencies(intra=[IntraDependency(file='nginx_demo/nginx/service.yaml', dependency=\"The Service named 'example-service' depends on the Endpoints resource with the same name 'example-service'. This dependency indicates that the Service will automatically create and manage an Endpoints object that contains the IP addresses and ports of the Pods selected by the Service's selector (app: example). The Endpoints resource is crucial for routing traffic from the Service to the appropriate Pods.\")], inter=[InterDependency(src_file='nginx_demo/nginx/service.yaml', dst_file='nginx_demo/nginx/pod.yaml', dependency=\"The dependency indicates that the Endpoints resource associated with the Service named 'example-service' is linked to a Pod named 'example-pod'. This means that the Service 'example-service' is configured to route traffic to the Pod 'example-pod', which is selected based on the label 'app: example'. The Endpoints resource dynamically updates to reflect the IP addresses of the Pods that match the Service's selector, ensuring that traffic is correctly routed to the available Pods.\")]), k8s_app=K8sAppAssumption(thought='The manifests provided are for a Kubernetes setup involving a Pod running an Nginx container and a Service to expose this Pod. The file names and the use of the Nginx image suggest that the application is a web server. Nginx is commonly used as a web server to serve static content, reverse proxy, or load balancer. The Service is configured to expose the Pod on port 80, which is the default port for HTTP traffic, further indicating that this setup is intended to serve web content. The logical assumption is that this setup is for a simple web application or a demonstration of serving web pages using Nginx on Kubernetes.', k8s_application='Web server application using Nginx to serve HTTP traffic.'), ce_instructions='- The Chaos-Engineering experiment must be completed within 1 minute.')>\n\n# You will inspect the following steady state in my system:\nPodRunning: 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.\n\n# Please follow the instructions below regarding Chaos Engineering:\n- The Chaos-Engineering experiment must be completed within 1 minute.\n\nPlease define the way to inspect \"PodRunning\" in the system defined by the above k8s manifest(s).\nAI: ```json\n{\"thought\":"
            ],
            "```json\n{\"thought\":\"To inspect the steady state of the Pod named 'example-pod', I will use the Kubernetes API. This is because we need to check the status of a Kubernetes resource (the Pod) to ensure it is in the 'Running' state. The Pod is deployed in the 'default' namespace as no specific namespace is mentioned in the manifest. The check will be performed every second for a duration of 5 seconds, which is sufficient to confirm the Pod's running state within the 1-minute constraint of the Chaos Engineering experiment.\",\"tool_type\":\"k8s\",\"tool\":{\"duration\":\"5s\",\"python\":\"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)\"}}}\n```",
            [
                "System: You are a helpful AI assistant for Chaos Engineering.\nGiven k8s manifests that define a network system and its steady state, you will determine the way to inspect the steady state.\nAlways keep the following rules:\n- You can use either k8s Client Libraries (Python) or k6 (Javascript) to inspect the steady state.\n- Pay attention to namespace specification. If the namespace is specified in the manifest, it is deployed with the namespace. If not, it is deployed with the 'default' namespace.\n- Use the K8s API for checking the state of Kubernetes resources, and use k6 for obtaining communication statuses/metrics (e.g., request sending, response time, latency, etc.).\n- If you use k6, consider both an appropriate number of virtual users and appropriate test duration.\n- If you use k8s, consider appropriate test duration.\n- The output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"thought\": {\"title\": \"Thought\", \"description\": \"Describe your thoughs for the tool usage. e.g., the reason why you choose the tool and how to use.\", \"type\": \"string\"}, \"tool_type\": {\"title\": \"Tool Type\", \"description\": \"Tool to inspect the steady state. Select from ['k8s', 'k6'].\", \"enum\": [\"k8s\", \"k6\"], \"type\": \"string\"}, \"tool\": {\"title\": \"Tool\", \"description\": \"If tool_tyepe='k8s', write here K8sAPI. If tool_tyepe='k6', write here K6JS.\", \"anyOf\": [{\"$ref\": \"#/definitions/K8sAPI\"}, {\"$ref\": \"#/definitions/K6JS\"}]}}, \"required\": [\"thought\", \"tool_type\", \"tool\"], \"definitions\": {\"K8sAPI\": {\"title\": \"K8sAPI\", \"type\": \"object\", \"properties\": {\"duration\": {\"title\": \"Duration\", \"description\": \"Duration of the status check every second in a for loop. Set appropriate duration to check the steady state (i.e., normal behavior) of the system. The maximum duration is 5s.\", \"type\": \"string\"}, \"python\": {\"title\": \"Python\", \"description\": \"Python code with k8s client libraries to inspect the status of k8s resources (i.e., steady state). Write only the content of the code without enclosing it in a code block. Implement a for loop that checks the status every second for the duration, and print a summary of the results at the end.\\n- To support docker env, please configure the client as follows: ```\\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- Please add a Add a entry point at the bottom to allow the test to be run from the command line.\\n- Please add argparse '--duration' (type=int) so that users can specify the loop duration.\", \"type\": \"string\"}}, \"required\": [\"duration\", \"python\"]}, \"K6JS\": {\"title\": \"K6JS\", \"type\": \"object\", \"properties\": {\"vus\": {\"title\": \"Vus\", \"description\": \"The number of virtual users. You can run a load test with the number of virutal users.\", \"type\": \"integer\"}, \"duration\": {\"title\": \"Duration\", \"description\": \"Duration of the load test. Set appropriate duration to check the steady state (i.e., normal behavior) of the system. The maximum duration is 5s.\", \"type\": \"string\"}, \"js\": {\"title\": \"Js\", \"description\": \"k6 javascript to inspect the steady state. In options in the javascript, set the same 'vus' and 'duration' options as the above. The interval of status check must be 1s. Write only the content of the code without enclosing it in a code block.\", \"type\": \"string\"}}, \"required\": [\"vus\", \"duration\", \"js\"]}}}\n```\nHuman: # Here is the overview of my system:\n<bound method ProcessedData.to_k8s_overview_str of ProcessedData(work_dir='sandbox/cycle_20241002_041546/inputs', input=ChaosEaterInput(skaffold_yaml=File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/skaffold.yaml', content='apiVersion: skaffold/v3\\nkind: Config\\nmetadata:\\n  name: nginx-app\\nmanifests:\\n  rawYaml:\\n    - nginx/pod.yaml\\n    - nginx/service.yaml', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/skaffold.yaml'), files=[File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/service.yaml', content='apiVersion: v1\\nkind: Service\\nmetadata:\\n  name: example-service\\nspec:\\n  selector:\\n    app: example\\n  ports:\\n    - protocol: TCP\\n      port: 80\\n      targetPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/service.yaml'), File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/pod.yaml', content='apiVersion: v1\\nkind: Pod\\nmetadata:\\n  name: example-pod\\n  labels:\\n    app: example\\nspec:\\n  restartPolicy: Never\\n  containers:\\n  - name: example-container\\n    image: nginx:1.17.1\\n    ports:\\n    - containerPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/pod.yaml')], ce_instructions='The Chaos-Engineering experiment must be completed within 1 minute.'), k8s_yamls=[File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/service.yaml', content='apiVersion: v1\\nkind: Service\\nmetadata:\\n  name: example-service\\nspec:\\n  selector:\\n    app: example\\n  ports:\\n    - protocol: TCP\\n      port: 80\\n      targetPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/service.yaml'), File(path='sandbox/cycle_20241002_041546/inputs/nginx_demo/nginx/pod.yaml', content='apiVersion: v1\\nkind: Pod\\nmetadata:\\n  name: example-pod\\n  labels:\\n    app: example\\nspec:\\n  restartPolicy: Never\\n  containers:\\n  - name: example-container\\n    image: nginx:1.17.1\\n    ports:\\n    - containerPort: 80', work_dir='sandbox/cycle_20241002_041546/inputs', fname='nginx_demo/nginx/pod.yaml')], k8s_summaries=[\"- This manifest defines a Kubernetes Service.\\n- The Service is named 'example-service'.\\n- It uses a selector to target pods with the label 'app: example'.\\n- The Service listens on port 80 using the TCP protocol.\\n- Traffic received on port 80 is forwarded to the target port 80 on the selected pods.\", \"- This manifest defines a Kubernetes Pod.\\n- The Pod is named 'example-pod'.\\n- It includes metadata with a label 'app: example'.\\n- The Pod's restart policy is set to 'Never', meaning it won't restart automatically if it fails.\\n- The Pod contains one container named 'example-container'.\\n- The container uses the 'nginx:1.17.1' image, which is a specific version of the Nginx web server.\\n- The container exposes port 80, which is commonly used for HTTP traffic.\"], k8s_dependencies=K8sDependencies(intra=[IntraDependency(file='nginx_demo/nginx/service.yaml', dependency=\"The Service named 'example-service' depends on the Endpoints resource with the same name 'example-service'. This dependency indicates that the Service will automatically create and manage an Endpoints object that contains the IP addresses and ports of the Pods selected by the Service's selector (app: example). The Endpoints resource is crucial for routing traffic from the Service to the appropriate Pods.\")], inter=[InterDependency(src_file='nginx_demo/nginx/service.yaml', dst_file='nginx_demo/nginx/pod.yaml', dependency=\"The dependency indicates that the Endpoints resource associated with the Service named 'example-service' is linked to a Pod named 'example-pod'. This means that the Service 'example-service' is configured to route traffic to the Pod 'example-pod', which is selected based on the label 'app: example'. The Endpoints resource dynamically updates to reflect the IP addresses of the Pods that match the Service's selector, ensuring that traffic is correctly routed to the available Pods.\")]), k8s_app=K8sAppAssumption(thought='The manifests provided are for a Kubernetes setup involving a Pod running an Nginx container and a Service to expose this Pod. The file names and the use of the Nginx image suggest that the application is a web server. Nginx is commonly used as a web server to serve static content, reverse proxy, or load balancer. The Service is configured to expose the Pod on port 80, which is the default port for HTTP traffic, further indicating that this setup is intended to serve web content. The logical assumption is that this setup is for a simple web application or a demonstration of serving web pages using Nginx on Kubernetes.', k8s_application='Web server application using Nginx to serve HTTP traffic.'), ce_instructions='- The Chaos-Engineering experiment must be completed within 1 minute.')>\n\n# You will inspect the following steady state in my system:\nServiceTrafficRouting: 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.\n\n# Please follow the instructions below regarding Chaos Engineering:\n- The Chaos-Engineering experiment must be completed within 1 minute.\n\nPlease define the way to inspect \"ServiceTrafficRouting\" in the system defined by the above k8s manifest(s).\nAI: ```json\n{\"thought\":"
            ],
            "```json\n{\"thought\": \"To inspect the ServiceTrafficRouting, we need to ensure that the Service named 'example-service' is correctly routing HTTP traffic to the 'example-pod'. This involves sending HTTP requests to the Service and verifying that the responses are correctly handled by the Nginx server running in the Pod. Since this involves checking the communication and response from the Nginx server, k6 is a suitable tool for this task. We will use k6 to send HTTP requests to the Service and verify the responses. The test will run with a small number of virtual users and a short duration to fit within the 1-minute constraint of the Chaos Engineering experiment.\", \"tool_type\": \"k6\", \"tool\": {\"vus\": 10, \"duration\": \"5s\", \"js\": \"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}\"}}\n```"
        ]
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            [
                "System: You are a helpful AI assistant for Chaos Engineering. \nGiven k8s manifests that define a network system, its steady state, and the current state of the steady state, you will define the threshold for the steady state.\nAlways keep the following rules:\n- The threshold should be satisfied in the current state at least.\n- Threshold must be representative value (e.g., ratio, percentage, ect.), not fixed absolute value.\n- Threshold must have reasonable tolerance.\n- You may set the threshold with a certain tolerance.\n- NEVER output any sentences but the JSON format.\n- The output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"threshold\": {\"title\": \"Threshold\", \"description\": \"the threshold of the steady state, which should be satisfied satisfied in the current state.\", \"type\": \"string\"}, \"reason_for_threshold\": {\"title\": \"Reason For Threshold\", \"description\": \"reason for setting the threshold\", \"type\": \"string\"}}, \"required\": [\"threshold\", \"reason_for_threshold\"]}\n```\nHuman: # Here is the overview of my system:\nThe system consists of the following K8s manifest(s):K8s manifest: nginx_demo/nginx/service.yaml\n```yaml\napiVersion: v1\nkind: Service\nmetadata:\n  name: example-service\nspec:\n  selector:\n    app: example\n  ports:\n    - protocol: TCP\n      port: 80\n      targetPort: 80\n```\nSummary of nginx_demo/nginx/service.yaml:\n- This manifest defines a Kubernetes Service.\n- The Service is named 'example-service'.\n- It uses a selector to target pods with the label 'app: example'.\n- The Service listens on port 80 using the TCP protocol.\n- Traffic received on port 80 is forwarded to the target port 80 on the selected pods.\n\nK8s manifest: nginx_demo/nginx/pod.yaml\n```yaml\napiVersion: v1\nkind: Pod\nmetadata:\n  name: example-pod\n  labels:\n    app: example\nspec:\n  restartPolicy: Never\n  containers:\n  - name: example-container\n    image: nginx:1.17.1\n    ports:\n    - containerPort: 80\n```\nSummary of nginx_demo/nginx/pod.yaml:\n- This manifest defines a Kubernetes Pod.\n- The Pod is named 'example-pod'.\n- It includes metadata with a label 'app: example'.\n- The Pod's restart policy is set to 'Never', meaning it won't restart automatically if it fails.\n- The Pod contains one container named 'example-container'.\n- The container uses the 'nginx:1.17.1' image, which is a specific version of the Nginx web server.\n- The container exposes port 80, which is commonly used for HTTP traffic.\n\nThe intra/inter dependencies of the above K8s manifests are as follows:- Dependencies within nginx_demo/nginx/service.yaml:\nThe Service named 'example-service' depends on the Endpoints resource with the same name 'example-service'. This dependency indicates that the Service will automatically create and manage an Endpoints object that contains the IP addresses and ports of the Pods selected by the Service's selector (app: example). The Endpoints resource is crucial for routing traffic from the Service to the appropriate Pods.\n\n- Dependencies from nginx_demo/nginx/service.yaml to nginx_demo/nginx/pod.yaml:\nThe dependency indicates that the Endpoints resource associated with the Service named 'example-service' is linked to a Pod named 'example-pod'. This means that the Service 'example-service' is configured to route traffic to the Pod 'example-pod', which is selected based on the label 'app: example'. The Endpoints resource dynamically updates to reflect the IP addresses of the Pods that match the Service's selector, ensuring that traffic is correctly routed to the available Pods.\n\nThe expected type of application on the system (i.e., K8s manfests):\nWeb server application using Nginx to serve HTTP traffic.; The manifests provided are for a Kubernetes setup involving a Pod running an Nginx container and a Service to expose this Pod. The file names and the use of the Nginx image suggest that the application is a web server. Nginx is commonly used as a web server to serve static content, reverse proxy, or load balancer. The Service is configured to expose the Pod on port 80, which is the default port for HTTP traffic, further indicating that this setup is intended to serve web content. The logical assumption is that this setup is for a simple web application or a demonstration of serving web pages using Nginx on Kubernetes.\n\n# You will determine a reasonable threshold for the following steady state of my system:\nPodRunning: 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.\n\n# The Python code of k8s client libraries to inspect the current state of the steady state and its result are the following:\n## Script:\n```python\nimport 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)\n```  \n## Result (current state):\nPod '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\n\n# Please follow the instructions below regarding Chaos Engineering:\n- The Chaos-Engineering experiment must be completed within 1 minute.\n\nNow, please define a reasonable threshold for the steady state according to the above information.\nAI: ```json\n{\"threshold\":"
            ],
            "```json\n{\"threshold\": \"Pod 'example-pod' must be in 'Running' state for at least 95% of the time during the 1-minute observation period.\", \"reason_for_threshold\": \"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.\"}\n```",
            [
                "System: You are a helpful AI assistant for Chaos Engineering. \nGiven k8s manifests that define a network system, its steady state, and the current state of the steady state, you will define the threshold for the steady state.\nAlways keep the following rules:\n- The threshold should be satisfied in the current state at least.\n- Threshold must be representative value (e.g., ratio, percentage, ect.), not fixed absolute value.\n- Threshold must have reasonable tolerance.\n- You may set the threshold with a certain tolerance.\n- NEVER output any sentences but the JSON format.\n- The output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"threshold\": {\"title\": \"Threshold\", \"description\": \"the threshold of the steady state, which should be satisfied satisfied in the current state.\", \"type\": \"string\"}, \"reason_for_threshold\": {\"title\": \"Reason For Threshold\", \"description\": \"reason for setting the threshold\", \"type\": \"string\"}}, \"required\": [\"threshold\", \"reason_for_threshold\"]}\n```\nHuman: # Here is the overview of my system:\nThe system consists of the following K8s manifest(s):K8s manifest: nginx_demo/nginx/service.yaml\n```yaml\napiVersion: v1\nkind: Service\nmetadata:\n  name: example-service\nspec:\n  selector:\n    app: example\n  ports:\n    - protocol: TCP\n      port: 80\n      targetPort: 80\n```\nSummary of nginx_demo/nginx/service.yaml:\n- This manifest defines a Kubernetes Service.\n- The Service is named 'example-service'.\n- It uses a selector to target pods with the label 'app: example'.\n- The Service listens on port 80 using the TCP protocol.\n- Traffic received on port 80 is forwarded to the target port 80 on the selected pods.\n\nK8s manifest: nginx_demo/nginx/pod.yaml\n```yaml\napiVersion: v1\nkind: Pod\nmetadata:\n  name: example-pod\n  labels:\n    app: example\nspec:\n  restartPolicy: Never\n  containers:\n  - name: example-container\n    image: nginx:1.17.1\n    ports:\n    - containerPort: 80\n```\nSummary of nginx_demo/nginx/pod.yaml:\n- This manifest defines a Kubernetes Pod.\n- The Pod is named 'example-pod'.\n- It includes metadata with a label 'app: example'.\n- The Pod's restart policy is set to 'Never', meaning it won't restart automatically if it fails.\n- The Pod contains one container named 'example-container'.\n- The container uses the 'nginx:1.17.1' image, which is a specific version of the Nginx web server.\n- The container exposes port 80, which is commonly used for HTTP traffic.\n\nThe intra/inter dependencies of the above K8s manifests are as follows:- Dependencies within nginx_demo/nginx/service.yaml:\nThe Service named 'example-service' depends on the Endpoints resource with the same name 'example-service'. This dependency indicates that the Service will automatically create and manage an Endpoints object that contains the IP addresses and ports of the Pods selected by the Service's selector (app: example). The Endpoints resource is crucial for routing traffic from the Service to the appropriate Pods.\n\n- Dependencies from nginx_demo/nginx/service.yaml to nginx_demo/nginx/pod.yaml:\nThe dependency indicates that the Endpoints resource associated with the Service named 'example-service' is linked to a Pod named 'example-pod'. This means that the Service 'example-service' is configured to route traffic to the Pod 'example-pod', which is selected based on the label 'app: example'. The Endpoints resource dynamically updates to reflect the IP addresses of the Pods that match the Service's selector, ensuring that traffic is correctly routed to the available Pods.\n\nThe expected type of application on the system (i.e., K8s manfests):\nWeb server application using Nginx to serve HTTP traffic.; The manifests provided are for a Kubernetes setup involving a Pod running an Nginx container and a Service to expose this Pod. The file names and the use of the Nginx image suggest that the application is a web server. Nginx is commonly used as a web server to serve static content, reverse proxy, or load balancer. The Service is configured to expose the Pod on port 80, which is the default port for HTTP traffic, further indicating that this setup is intended to serve web content. The logical assumption is that this setup is for a simple web application or a demonstration of serving web pages using Nginx on Kubernetes.\n\n# You will determine a reasonable threshold for the following steady state of my system:\nServiceTrafficRouting: 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.\n\n# The k6 javascript to inspect the current state of the steady state and its result are the following:\n## Script:\n```js\nimport 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}\n```  \n## Result (current state):\n# \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\n\n# Please follow the instructions below regarding Chaos Engineering:\n- The Chaos-Engineering experiment must be completed within 1 minute.\n\nNow, please define a reasonable threshold for the steady state according to the above information.\nAI: ```json\n{\"threshold\":"
            ],
            "```json\n{\"threshold\":\"http_req_failed: <= 0.01%\",\"reason_for_threshold\":\"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.\"}\n```"
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            [
                "System: You are a helpful AI assistant for writing unit tests in Python.\nGiven the steady state, python script to inspect it, and its threshold, please write a Python unit test (including for-loop for certain duration) to verify if the steady state satisfies the threshold by adding assertion.\nAlways keep the following rules:\n- Include as many comments as possible in your code so that humans can easily understand what you did later.\n- Use the Kubernetes Python API.\n- Add argparse '--duration' (type=int) so that users can specify the loop duration as the previous python script.\n- NEVER use \"unittest\" module to use argparse.\n- Create a unit test by inheriting from the 'K8sAPIBase' class below (available via ```from unittest_base import K8sAPIBase```):\n```python\nimport os\nfrom kubernetes import client, config\n\nclass K8sAPIBase:\n    def __init__(self):\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        # Create a Kubernetes API client\n        self.v1 = client.CoreV1Api()\n```\n- Add a entry point at the bottom to allow the test to be run from the command line, as follows:\n```\nif __name__ == '__main__':\n    main()\n```\n- The output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"thought\": {\"title\": \"Thought\", \"description\": \"Describe how you add the threshold assersion to the inspection Python script.\", \"type\": \"string\"}, \"code\": {\"title\": \"Code\", \"description\": \"Python unit test code. Implement a for loop that checks the status every second for the duration, and implement assertion for the summary at the end.\\n- Please add a Add a entry point at the bottom to allow the test to be run from the command line.\\n- Please add argparse '--duration' (type=int) so that users can specify the loop duration. Write only the content of the code without enclosing it in a code block.\", \"type\": \"string\"}}, \"required\": [\"thought\", \"code\"]}\n```\nHuman: The steady state:\nPodRunning: 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.\n\nThe steady state was inspected with the following python code of k8s client libraries:\nimport 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)\n\nThe threshold of the steady state: Pod 'example-pod' must be in 'Running' state for at least 95% of the time during the 1-minute observation period.; 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.\n\nGiven the above steady state, command, and threshold, please write a Python unit test to check if the steady state satisfies the threshold.\nThe threshold in the unit test must exactly match the threshold defined above. Implement it to support variable durations. Use a representative value (e.g., percentage, ratio, etc.) for the threshold. NEVER use any fixed absolute values for the threshold.\nAI: ```json\n{\"thought\":"
            ],
            "{\"thought\": \"To add the threshold assertion to the inspection Python script, I will implement a unit test that checks if the pod is in the 'Running' state for at least 95% of the specified duration. This will involve counting the number of times the pod is in the 'Running' state during the loop and then calculating the percentage of time it was running. The assertion will check if this percentage is greater than or equal to 95%. The test will use the Kubernetes Python API to check the pod status and will allow the user to specify the duration of the test using argparse.\", \"code\": \"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()\"}",
            [
                "System: You are a helpful AI assistant for writing unit tests in k6.\nGiven a steady state, k6 javascript to inspect it, and its threshold, please write a k6 unit test to verify if the steady state satisfies the threshold by adding threshold options. \nAlways keep the following rules:\n- Include as many comments as possible in your code so that humans can easily understand what you did later.\n- Add \"thresholds\" in \"options\" section to the given k6 javascript.\n- The output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"thought\": {\"title\": \"Thought\", \"description\": \"Describe how you add the threshold check to the inspection K6 script.\", \"type\": \"string\"}, \"code\": {\"title\": \"Code\", \"description\": \"K6 unit test code (javascript). Write only the content of the code without enclosing it in a code block.\", \"type\": \"string\"}}, \"required\": [\"thought\", \"code\"]}\n```\nHuman: The steady state:\nServiceTrafficRouting: 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.\n\nThe steady state can be inspected with the following k6 javascript:\nimport 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}\n\nThe threshold of the steady state: http_req_failed: <= 0.01%; 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.\n\nGiven the above steady state, k6 javascript, and threshold, please write a k6 unit test to check if the steady state satisfies the threshold by adding threshold options.\nThe threshold in the unit test must exactly match the threshold defined above.\nAI: ```json\n{\"thought\":"
            ],
            "{\"thought\": \"To ensure that the steady state satisfies the threshold, I will add a 'thresholds' section to the k6 options. This will include a threshold for 'http_req_failed' to be less than or equal to 0.01%. This threshold ensures that the service is highly reliable, with minimal failed requests, aligning with the current performance of 0.00% failed requests.\", \"code\": \"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}\"}"
        ]
    }
]