如何使用云函数（Python）从GKE（GCP）获取图像和环境变量？

1.在GCP控制台中创建一个云函数，确保已分配正确的权限。

2.在Python中导入必要的库：

from google.cloud import storage
from google.auth import compute_engine
from google.cloud import container_v1

3.获取要连接的集群中的Pod。

def get_pod(cluster_name, namespace):
    # Use the compute engine service account credentials
    credentials = compute_engine.Credentials()
    
    # Create the client object
    container_client = container_v1.ClusterManagerClient(credentials=credentials)
    project_id = 'my-gcp-project-id'
    zone = 'us-central1-a'
    
    # Get the cluster object
    cluster = container_client.get_cluster(project_id, zone, cluster_name)
    
    # Get the Pod using the Kubernetes API
    v1 = kube_client.CoreV1Api()
    pod_list = v1.list_namespaced_pod(namespace)
    
    return pod_list.items

4.使用Pod名称获取图像和环境变量。

def get_image_and_env(pod_name, namespace):
    # Use the compute engine service account credentials
    credentials = compute_engine.Credentials()
    
    # Create the client object
    container_client = container_v1.ClusterManagerClient(credentials=credentials)
    project_id = 'my-gcp-project-id'
    zone = 'us-central1-a'
    
    # Get the Pod using the Kubernetes API
    v1 = kube_client.CoreV1Api()
    pod = v1.read_namespaced_pod(pod_name, namespace)
    
    # Get the container image
    container_image = pod.spec.containers[0].image
    
    # Get the container environment variables
    container_env = pod.spec.containers[0].env
    
    return container_image, container_env

此后，您就可以在云函数中调用get_image_and_env函数获取要连接的Pod的图像和环境变量了。