node.js - 无法从 GCP 调度程序调用 Google Cloud Function
问题描述
我一直在尝试--runtime nodejs8 --trigger-http
从 GCP 调度程序调用 GCP 函数 (),它们都位于同一个项目中。allUsers
如果我通过将成员添加到函数权限并Cloud Functions-Invoker
应用角色来授予未经身份验证的访问权限,我只能使其工作。但是,当我只使用调度程序的服务帐户作为时Cloud Functions-Invoker
,我得到一个 PERMISSION DENIED 错误。
我创建了一个 hello world 示例,以详细展示我的设置的外观。
- 我设置了一个服务帐户:
gcloud iam service-accounts create scheduler --display-name="Task Schedule Runner"
- 设置角色:
svc_policy.json:
{
"bindings": [
{
"members": [
"serviceAccount:scheduler@mwsdata-1544225920485.iam.gserviceaccount.com"
],
"role": "roles/cloudscheduler.serviceAgent"
}
]
}
gcloud iam service-accounts set-iam-policy scheduler@mwsdata-1544225920485.iam.gserviceaccount.com svc_policy.json -q
- 部署云功能:
gcloud functions deploy helloworld --runtime nodejs8 --trigger-http --entry-point=helloWorld
- 将服务帐户作为成员添加到函数中:
gcloud functions add-iam-policy-binding helloworld --member serviceAccount:scheduler@mwsdata-1544225920485.iam.gserviceaccount.com --role roles/cloudfunctions.invoker
- 创建调度程序作业:
gcloud beta scheduler jobs create http test-job --schedule "5 * * * *" --http-method=GET --uri=https://us-central1-mwsdata-1544225920485.cloudfunctions.net/helloworld --oidc-service-account-email=scheduler@mwsdata-1544225920485.iam.gserviceaccount.com --oidc-token-audience=https://us-central1-mwsdata-1544225920485.cloudfunctions.net/helloworld
日志:权限被拒绝
{
httpRequest: {
}
insertId: "1ny5xuxf69w0ck"
jsonPayload: {
@type: "type.googleapis.com/google.cloud.scheduler.logging.AttemptFinished"
jobName: "projects/mwsdata-1544225920485/locations/europe-west1/jobs/test-job"
status: "PERMISSION_DENIED"
targetType: "HTTP"
url: "https://us-central1-mwsdata-1544225920485.cloudfunctions.net/helloworld"
}
logName: "projects/mwsdata-1544225920485/logs/cloudscheduler.googleapis.com%2Fexecutions"
receiveTimestamp: "2020-02-04T22:05:05.248707989Z"
resource: {
labels: {
job_id: "test-job"
location: "europe-west1"
project_id: "mwsdata-1544225920485"
}
type: "cloud_scheduler_job"
}
severity: "ERROR"
timestamp: "2020-02-04T22:05:05.248707989Z"
}
更新
以下是相应的设置。
调度程序服务帐户
gcloud iam service-accounts get-iam-policy scheduler@mwsdata-1544225920485.iam.gserviceaccount.com
bindings:
- members:
- serviceAccount:scheduler@mwsdata-1544225920485.iam.gserviceaccount.com
role: roles/cloudscheduler.serviceAgent
etag: BwWdxuiGNv4=
version: 1
IAM 功能的政策:
gcloud functions get-iam-policy helloworld
bindings:
- members:
- serviceAccount:scheduler@mwsdata-1544225920485.iam.gserviceaccount.com
role: roles/cloudfunctions.invoker
etag: BwWdxyDGOAY=
version: 1
功能说明
gcloud functions describe helloworld
availableMemoryMb: 256
entryPoint: helloWorld
httpsTrigger:
url: https://us-central1-mwsdata-1544225920485.cloudfunctions.net/helloworld
ingressSettings: ALLOW_ALL
labels:
deployment-tool: cli-gcloud
name: projects/mwsdata-1544225920485/locations/us-central1/functions/helloworld
runtime: nodejs8
serviceAccountEmail: mwsdata-1544225920485@appspot.gserviceaccount.com
sourceUploadUrl: https://storage.googleapis.com/gcf-upload-us-central1-671641e6-3f1b-41a1-9ac1-558224a1638a/b4a0e407-69b9-4f3d-a00d-7543ac33e013.zip?GoogleAccessId=service-617967399269@gcf-admin-robot.iam.gserviceaccount.com&Expires=1580854835&Signature=S605ODVtOpnU4LIoRT2MnU4OQN3PqhpR0u2CjgcpRcZZUXstQ5kC%2F1rT6Lv2SusvUpBrCcU34Og2hK1QZ3dOPluzhq9cXEvg5MX1MMDyC5Y%2F7KGTibnV4ztFwrVMlZNTj5N%2FzTQn8a65T%2FwPBNUJWK0KrIUue3GemOQZ4l4fCf9v4a9h6MMjetLPCTLQ1BkyFUHrVnO312YDjSC3Ck7Le8OiXb7a%2BwXjTDtbawR20NZWfgCCVvL6iM9mDZSaVAYDzZ6l07eXHXPZfrEGgkn7vXN2ovMF%2BNGvwHvTx7pmur1yQaLM4vRRprjsnErU%2F3p4JO3tlbbFEf%2B69Wd9dyIKVA%3D%3D
status: ACTIVE
timeout: 60s
updateTime: '2020-02-04T21:51:15Z'
versionId: '1'
调度员职位描述
gcloud scheduler jobs describe test-job
attemptDeadline: 180s
httpTarget:
headers:
User-Agent: Google-Cloud-Scheduler
httpMethod: GET
oidcToken:
audience: https://us-central1-mwsdata-1544225920485.cloudfunctions.net/helloworld
serviceAccountEmail: scheduler@mwsdata-1544225920485.iam.gserviceaccount.com
uri: https://us-central1-mwsdata-1544225920485.cloudfunctions.net/helloworld
lastAttemptTime: '2020-02-05T09:05:00.054111Z'
name: projects/mwsdata-1544225920485/locations/europe-west1/jobs/test-job
retryConfig:
maxBackoffDuration: 3600s
maxDoublings: 16
maxRetryDuration: 0s
minBackoffDuration: 5s
schedule: 5 * * * *
scheduleTime: '2020-02-05T10:05:00.085854Z'
state: ENABLED
status:
code: 7
timeZone: Etc/UTC
userUpdateTime: '2020-02-04T22:02:31Z'
解决方案
以下是我使 Cloud Scheduler 触发不允许未经身份验证的调用的 HTTP 触发的 Cloud Functions 所遵循的步骤:
- 创建一个服务帐户,其格式如下 [SA-NAME]@[PROJECT-ID].iam.gserviceaccount.com。
- 将服务帐户 [SA-NAME]@[PROJECT-ID].iam.gserviceaccount.com 添加为项目成员,并将以下角色添加到服务帐户:Cloud Functions Invoker和Cloud Scheduler Admin。
- 部署一个 HTTP 触发的云函数,该函数不允许公共(未经身份验证)访问(如果您使用 UI,只需取消选中允许未经身份验证的调用复选框)并且使用最近创建的服务帐户 [SA-NAME]@[PROJECT-ID ].iam.gserviceaccount.com 在服务帐户字段(单击更多并查找服务帐户字段,默认情况下应设置为 App Engine 默认服务帐户)并注意 Cloud Function 的 URL。
- 通过从 Cloud Shell 发出以下命令来创建具有身份验证的 Cloud Scheduler 作业:
gcloud scheduler jobs create http [JOB-NAME] --schedule="* * * * *" --uri=[CLOUD-FUNCTIONS-URL] --oidc-service-account-email=[SA-NAME]@[PROJECT-ID].iam.gserviceaccount.com
在您的特定情况下,您将为 Cloud Functions 保留默认的 App Engine 服务帐户。将其更改为您在前面步骤中指定的创建的服务帐户。
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