如果Argo工作流在挂起状态下没有任何事件记录，则很有可能存在以下原因：

1. 没有足够的资源：请确保您的Kubernetes集群有足够的资源来运行工作流。

2. 工作流中的任务遇到问题：请检查每个任务的日志并确保其中没有任何错误。

以下是一份示例代码，可以用于检查Argo工作流中每个任务的状态和日志：

apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: my-workflow-
spec:
  entrypoint: my-entrypoint
  templates:
  - name: my-entrypoint
    container:
      image: docker/whalesay
      command: [cowsay]
      args: ["hello world"]
  - name: check-task-states
    inputs:
      parameters:
      - name: workflow-name
    script:
      image: python:alpine3.8
      command: [python]
      source: |
        import requests
        import json
        import sys

        headers = {"Authorization": "Bearer " + open('/var/run/secrets/kubernetes.io/serviceaccount/token').read()}
        namespace = open('/var/run/secrets/kubernetes.io/serviceaccount/namespace').read()
        workflow_name = sys.argv[1]

        url = f"https://kubernetes.default.svc/api/v1/namespaces/{namespace}/pods?labelSelector=workflows.argoproj.io/workflow={workflow_name}"
        resp = json.loads(requests.get(url, headers=headers).text)

        if len(resp["items"]) == 0:
          print("Unable to find any pods corresponding to the workflow")
          sys.exit(1)

        for pod in resp["items"]:
          name = pod["metadata"]["name"]
          node_name = pod["spec"]["nodeName"]
          container_statuses = pod["status"]["containerStatuses"]
          print(f"Pod Name: {name}")
          print(f"Node Name: {node_name}")
          print(f"Container Statuses: {json.dumps(container_statuses)}")
    outputs:
      parameters