查询 Pod 容器组环境变量
查询分布式训练任务中指定 Pod 内各容器实际注入的环境变量,用于核对训练进程运行时拿到的配置(如可见 GPU、分布式通信地址等)是否与创建时的设置一致。Pod 名称可从任务详情获取。
GET
https://api.alayanew.com/v1/training/instance/{id}/{podName}/containerGroup/env鉴权(Authorizations)
bearerAuthAuthorizationString必填用户可通过已获取的 Open API Key 做验证。例如:Bearer [YOUR_API_KEY]。
Path Parameters
Response
application/json · 200statusInteger业务状态码,200 表示成功。
messageString接口响应信息,成功或失败原因描述。例如:"OK"。
dataObject容器环境变量响应,包含该 Pod 下所有容器及其环境变量。
显示 properties
containersArray该 Pod 内的容器列表,每个元素对应一个容器及其环境变量集合。
显示 properties
containerNameString容器名称。例如:"pytorch"。
envsArray该容器内的环境变量列表,每个元素为一个键值对。
显示 properties
nameString环境变量名。例如:"CUDA_VISIBLE_DEVICES"。
valueString环境变量值。例如:"0,1,2,3"。
curl -X 'GET' \
'https://api.alayanew.com/v1/training/instance/ca78d6b9-e196-5a0f-b1be-ab036b3cb91a/worker-0/containerGroup/env' \
-H 'accept: application/json' \
-H 'Authorization: Bearer [YOUR_API_KEY]'import requests
task_id = "ca78d6b9-e196-5a0f-b1be-ab036b3cb91a"
pod_name = "worker-0"
url = f"https://api.alayanew.com/v1/training/instance/{task_id}/{pod_name}/containerGroup/env"
headers = {
"accept": "application/json",
"Authorization": "Bearer [YOUR_API_KEY]"
}
response = requests.get(url, headers=headers)
print(response.json())const taskId = 'ca78d6b9-e196-5a0f-b1be-ab036b3cb91a';
const podName = 'worker-0';
fetch(`https://api.alayanew.com/v1/training/instance/${taskId}/${podName}/containerGroup/env`, {
method: 'GET',
headers: {
'accept': 'application/json',
'Authorization': 'Bearer [YOUR_API_KEY]'
}
})
.then(res => res.json())
.then(console.log)
.catch(console.error);{
"status": 200,
"message": "OK",
"data": {
"containers": [
{
"containerName": "pytorch",
"envs": [
{
"name": "CUDA_VISIBLE_DEVICES",
"value": "0,1,2,3"
}
]
}
]
}
}{
"status": 403,
"message": "Forbidden",
"data": {}
}{
"status": 500,
"message": "Internal Server Error",
"data": {}
}最后更新于
