Fixing Terraform Azure Container App Errors: Sub-Path Issue
Terraform Azure Container Apps: Solving the Sub-Path Problem
Hey everyone! Let's dive into a specific issue that can pop up when you're using Terraform to manage Azure Container Apps. We're talking about a bug related to the volume_mnt
schema and how it handles sub_path
, especially in version 8.2.0 of the module. If you've run into errors about missing attributes when deploying container apps, this might be exactly what you need to read. We'll cover the problem, the fix, a workaround, and how to apply it using OpenTofu, including the specific configuration files. This guide is designed to be easy to understand, even if you're new to the whole Terraform and Azure world.
The Core Problem: volume_mnt
and sub_path
The root of the issue lies in how the volume_mnt
object is defined within the modules/container-app/variables-aca.tf
file of the module. In version 8.2.0, the volume_mnt
was set up without a sub_path
attribute. This is a problem because the modules/container-app/r-container-app.tf
file unconditionally tries to reference volume_mounts.value.sub_path
. So, when you configure a secret-backed volume and omit sub_path
, which is perfectly valid if you don't need to mount a specific file, Terraform throws an error.
This is the error you might see:
Error: Unsupported attribute
on modules/container-app/r-container-app.tf line 135, in resource "azurerm_container_app" "main":
135: sub_path = volume_mounts.value.sub_path
├────────────────
│ volume_mounts.value is object with 2 attributes
This object does not have an attribute named "sub_path".
Basically, Terraform is looking for something that isn't there, and it crashes. This error happens when you're trying to deploy a container app that uses volume mounts, especially those backed by secrets where you don't specify a sub_path
. You'll hit this when you're using the AzureRM provider, and your configuration files include a volume_mnt
configuration that's not quite aligned with what the module expects.
How to Fix It: Step-by-Step
Fortunately, there's a straightforward fix. The key is to update the schema in modules/container-app/variables-aca.tf
to allow for the sub_path
attribute and then guard access to it in modules/container-app/r-container-app.tf
.
Here's how to do it. First, update the schema in variables-aca.tf
to include sub_path
:
volume_mnt = optional(list(object({
name = string
path = string
sub_path = optional(string, null)
})), [])
This change allows you to specify sub_path
if you need it, but it's still optional. Existing configurations won't break because sub_path
defaults to null
if not specified. Next, guard the access to sub_path
in r-container-app.tf
:
sub_path = lookup(volume_mounts.value, "sub_path", null)
This change uses lookup
, which safely checks for the existence of sub_path
before trying to access it. If sub_path
isn't present, it defaults to null
, preventing the error. With these fixes, the module becomes much more flexible. It supports users who need file mounts using sub_path
while staying compatible with existing configurations that don't require it.
Workaround Until the Official Fix
Until a new release is published, we have a workaround. This involves patching the cached module during terragrunt init
. This approach uses a terraform
block with an after_hook
that runs a bash script to modify the necessary files. Here's how the workaround looks:
terraform {
after_hook "patch_sub_path" {
commands = ["init"]
execute = [
"bash",
"-c",
"cat <<'PY' | python3\nfrom pathlib import Path\nrca = Path('modules/container-app/r-container-app.tf')\nif rca.exists():\n text = rca.read_text()\n text = text.replace('sub_path = volume_mounts.value.sub_path', 'sub_path = lookup(volume_mounts.value, \"sub_path\", null)')\n rca.write_text(text)\nvars_file = Path('modules/container-app/variables-aca.tf')\nif vars_file.exists():\n text = vars_file.read_text()\n marker = ' path = string'\n insertion = ' path = string\\n sub_path = optional(string, null)'\n if 'sub_path = optional' not in text:\n text = text.replace(marker, insertion)\n vars_file.write_text(text)\nPY"
]
}
}
This code snippet runs a Python script during terraform init
. The script checks if r-container-app.tf
and variables-aca.tf
exist. If they do, it replaces the problematic line with the safer lookup
function and adds the sub_path
attribute. The PY
block contains a Python script. It uses the pathlib
module to handle file paths safely. This workaround ensures that your module is patched before Terraform attempts to use it, avoiding the error.
Configuration File Example
To help visualize how this fits into your configuration, here’s a sample of how you might structure your containers
and volumes
blocks:
containers = [
{
name = "prometheus"
image = "docker.io/prom/prometheus:v2.49.1"
cpu = 0.25
memory = "0.5Gi"
envs = []
volume_mnt = [
{
name = "config-volume"
path = "/etc/prometheus"
sub_path = "prometheus.yml"
}
]
}
]
volumes = [
{
name = "config-volume"
storage_type = "Secret"
}
]
In this example, we're deploying a Prometheus container. The prometheus.yml
configuration file is mounted into the container at /etc/prometheus
. The volume config-volume
uses a secret. If sub_path
weren’t correctly configured, this would trigger the error.
Quick Recap and Best Practices
- Understand the Error: The core issue is a missing
sub_path
attribute in the Terraform module, causing an "Unsupported attribute" error. - Implement the Fix: Update the schema in
variables-aca.tf
and guard thesub_path
access inr-container-app.tf
. This keeps everything backward-compatible while adding functionality. - Use the Workaround: If a new version of the module isn’t available, use the
terragrunt init
hook to patch the module during the initialization phase. - Review Configuration: Make sure your
containers
andvolumes
blocks are correctly structured and that you're usingsub_path
where necessary.
That's the gist of it! This issue highlights the importance of understanding the schemas that Terraform uses and how to adapt when there are changes. Hope this helps you to avoid these types of problems in the future and make your deployments smoother.