Description
Currently we can't access custom parameters while deployment of functions or while serving functions locally. Only a few selected params are allowed. e.g. minInstance
Can we expect custom parameters to be added, to access while deployment or while serving.
Unlike, this issue firebase/firebase-tools#5524, where few of the values are only added to params.
Even, the most basic thing used by functions "region" is still not added, and functions.config() is deprecated, just to make things tough for the users?
If any alternatives to access custom parameters while deployment, please provide.
Use Case 1: Need to select different regions to deploy functions based on parameters.
Use Case 2: Need to select different environment and a lot of pre-deployment conditions are dependent upon the environment being selected. eg.functions.storage.bucket("bucket-name").object().onFinalize, here bucket name can be different for different projects, and the bucket name has to given while deployment itself.
Related issues
firebase/firebase-tools#5524
#1084
firebase/firebase-tools#5347
[REQUIRED] Version info
node: 18.12.1
firebase-functions: 4.2.1
firebase-tools: 11.19.0
firebase-admin: 11.5.0
[REQUIRED] Test case
const envParam = param.defineString("APP_ENV")
const bucketName = envParam.equals("dev").thenElse("dev-bucket-name", "prod-bucket-name")
//or const bucketName = envParam.equals("dev").thenElse("dev-bucket-name", "prod-bucket-name").value()
functions.storage.bucket(bucketName).object().onFinalize(async (object: ObjectMetadata) => {})
[REQUIRED] Steps to reproduce
.env file contains : APP_ENV="dev"
Build the functions.
Deploy the functions.
[REQUIRED] Expected behavior
Bucket name selected should be "prod-bucket-name", and function should be deployed successfully.
[REQUIRED] Actual behavior
Bucket name selected is "dev-bucket-name", and function is not deployed as the bucket belongs to different project and we get insufficient permissions error.
Were you able to successfully deploy your functions?
NO
Function is not deployed as the bucket belongs to different project and we get insufficient permissions error.