Get a container run
GET
/v1/container-runs/{id}curl -X GET 'https://api.embodiflow.io/v1/container-runs/{id}' \
-H 'Authorization: Bearer $EMBODIFLOW_PAT'认证
每个请求都需要携带个人访问令牌（PAT）。
- Authorization: Bearer PAT
路径参数
- idstring必填
响应
Success
- dataobject必填
- idstring必填
- tenantIdstring必填
- projectIdstring | null必填
- workflowRunIdstring | null必填
- algorithmRevisionIdstring | null必填
- trainingJobIdstring | null
- inferenceDeploymentIdstring | null
- runKindstring可选值trainingworkflow-processorinference
- kindstring必填可选值processorfile-downloaderquality-extractorlegacy-jobtrainerinference-server
- k8sNamespacestring必填
- k8sJobNamestring必填
- k8sPodNamestring必填
- k8sPodUidstring必填
- k8sNodeNamestring | null必填
- containerNamestring必填
- imageRefstring | null必填
- resourceRequestsobject | null必填
- resourceLimitsobject | null必填
- startedAtstring必填
- finishedAtstring必填
- durationSecondsnumber必填
- exitCodenumber | null必填
- terminationReasonstring | null必填
- logObjectKeystring | null必填
- logSizeBytesstring | null必填
- logTruncatedone of必填
- logArchivedAtstring | null必填
- logRetentionExpiresAtstring | null必填
- createdAtstring必填
响应示例
{
"data": {
"id": "string",
"tenantId": "string",
"projectId": "string",
"workflowRunId": "string",
"algorithmRevisionId": "string",
"trainingJobId": "string",
"inferenceDeploymentId": "string",
"runKind": "training",
"kind": "processor",
"k8sNamespace": "string",
"k8sJobName": "string",
"k8sPodName": "string",
"k8sPodUid": "string",
"k8sNodeName": "string",
"containerName": "string",
"imageRef": "string",
"resourceRequests": {},
"resourceLimits": {},
"startedAt": "string",
"finishedAt": "string",
"durationSeconds": 0,
"exitCode": 0,
"terminationReason": "string",
"logObjectKey": "string",
"logSizeBytes": "string",
"logTruncated": false,
"logArchivedAt": "string",
"logRetentionExpiresAt": "string",
"createdAt": "string"
}
}服务器https://api.embodiflow.io/v1https://api.embodiflow.dev/v1