Terraform/GCP Timeout (and Resources Already Exist) - google-cloud-platform

Question

I'm trying to provision GCP resources through Terraform, but it's timing out while also throwing errors saying that resources already exist (I've looked in GCP and through the CLI, and the resources do not exist).
Error: Error waiting to create Image: Error waiting for Creating Image: timeout while waiting for state to become 'DONE' (last state: 'RUNNING', timeout: 15m0s)
│
│ with google_compute_image.student-image,
│ on main.tf line 29, in resource "google_compute_image" "student-image":
│ 29: resource "google_compute_image" "student-image" {
│
╵
╷
│ Error: Error creating Firewall: googleapi: Error 409: The resource 'projects/**-****-**********-******/global/firewalls/*****-*********-*******-*****-firewall' already exists, alreadyExists
│
│ with google_compute_firewall.default,
│ on main.tf line 46, in resource "google_compute_firewall" "default":
│ 46: resource "google_compute_firewall" "default" {
Some (perhaps salient) details:
I have previously provisioned these resources successfully using this same approach.
My billing account has since changed.
At another point, it was saying that the machine image existed (which, if it does, I can't see either in the console or the CLI).
I welcome any insights/suggestions.
EDIT
Including HCL; variables are defined in variables.tf and terraform.tfvars
provider google {
region = var.region
}
resource "google_compute_image" "student-image" {
name = var.google_compute_image_name
project = var.project
raw_disk {
source = var.google_compute_image_source
}
timeouts {
create = "15m"
update = "15m"
delete = "15m"
}
}
resource "google_compute_firewall" "default" {
name = "cloud-computing-project-image-firewall"
network = "default"
project = var.project
allow {
protocol = "tcp"
# 22: SSH
# 80: HTTP
ports = [
"22",
"80",
]
}
source_ranges = ["0.0.0.0/0"]
}
source = "./vm"
name = "workspace-vm"
project = var.project
image = google_compute_image.student-image.self_link
machine_type = "n1-standard-1"
}
There is a vm subdirectory with main.tf:
resource "google_compute_instance" "student_instance" {
name = var.name
machine_type = var.machine_type
zone = var.zone
project = var.project
boot_disk {
initialize_params {
image = var.image
size = var.disk_size
}
}
network_interface {
network = "default"
access_config {
}
}
labels = {
project = "machine-learning-on-the-cloud"
}
}
...and variables.tf:
variable name {}
variable project {}
variable zone {
default = "us-east1-b"
}
variable image {}
variable machine_type {}
variable disk_size {
default = 20
}

Answer 1

It sounds like maybe the resources were provisioned with Terraform but perhaps someone deleted them manually and so now your state file and what's actual doesn't match. terraform refresh might solve your problem.