How to upload multiple files to a GCP bucket? for_each

Terraform
1

I need to upload the files inside the dags folder of each metric to a bucket in GCP, I was able to just iterate through the folder name, what I need is the files and subfolders/files.

Captura de Tela 2023-03-24 às 12.02.46
This is my directory structure:

metrics/
     a_metric/
             dags/
                 shared/files
                 files
     b_metric/
             dags/
                 shared/files
                 files
     c_metric/
             dags/
                 shared/files
                 files

main.tf:

locals {
  # Base variables 
  base_vars = yamldecode(file("base/vars.yaml"))

  #OK
  # Metrics subfolder names
  metrics = distinct([
    for dir_path in fileset("metrics/", "*/*/") :
    basename(dirname(dir_path))
  ])

  # Metrics configuration 
  metrics_config = flatten([
    for subfolder in local.metrics :
    [
      for file in fileset("metrics/${subfolder}", "vars.yaml") :
      merge(yamldecode(file("metrics/${subfolder}/${file}")), { subfolder = subfolder })
    ]
  ])
}

resource "google_storage_bucket_object" "default" {
  for_each = { for metric in local.metrics_config: metric.subfolder => metric }
  name   = "dags/${each.value.subfolder}/"
  source = "metrics/${each.value.subfolder}/dags/"
  bucket = "bucket_test_dags_terraform_001" 
}

Plan Output:

Terraform will perform the following actions:

  # google_storage_bucket_object.default["a_metric"] will be created
  + resource "google_storage_bucket_object" "default" {
      + bucket         = "bucket_test_dags_terraform_001"
      + content_type   = (known after apply)
      + crc32c         = (known after apply)
      + detect_md5hash = "different hash"
      + id             = (known after apply)
      + kms_key_name   = (known after apply)
      + md5hash        = (known after apply)
      + media_link     = (known after apply)
      + name           = "dags/a_metric/"
      + output_name    = (known after apply)
      + self_link      = (known after apply)
      + source         = "metrics/a_metric/dags/"
      + storage_class  = (known after apply)
    }

  # google_storage_bucket_object.default["b_metric"] will be created
  + resource "google_storage_bucket_object" "default" {
      + bucket         = "bucket_test_dags_terraform_001"
      + content_type   = (known after apply)
      + crc32c         = (known after apply)
      + detect_md5hash = "different hash"
      + id             = (known after apply)
      + kms_key_name   = (known after apply)
      + md5hash        = (known after apply)
      + media_link     = (known after apply)
      + name           = "dags/b_metric/"
      + output_name    = (known after apply)
      + self_link      = (known after apply)
      + source         = "metrics/b_metric/dags/"
      + storage_class  = (known after apply)
    }

  # google_storage_bucket_object.default["c_metric"] will be created
  + resource "google_storage_bucket_object" "default" {
      + bucket         = "bucket_test_dags_terraform_001"
      + content_type   = (known after apply)
      + crc32c         = (known after apply)
      + detect_md5hash = "different hash"
      + id             = (known after apply)
      + kms_key_name   = (known after apply)
      + md5hash        = (known after apply)
      + media_link     = (known after apply)
      + name           = "dags/c_metric/"
      + output_name    = (known after apply)
      + self_link      = (known after apply)
      + source         = "metrics/c_metric/dags/"
      + storage_class  = (known after apply)
    }

Plan: 3 to add, 0 to change, 0 to destroy.