This Copier template provides files for a Terraform or OpenTofu project.
The tooling uses Task as the task runner for the template and the generated projects. The tasks provide an opinionated configuration for Terraform and OpenTofu. This configuration enables projects to use built-in features of these tools to support:
- Multiple infrastructure components (root modules) in the same code repository, as separate units
- Multiple instances of the same component with different configurations with contexts
- Temporary instances of a component for testing or development with workspaces.
- Integration testing for every component.
- Switching between Terraform and OpenTofu. Use the same tasks for both.
We use the identifier TF or tf for Terraform and OpenTofu. Both tools accept the same commands and have the same behavior. The tooling itself is just called
tft
in the documentation and code.
To start a new project:
copier copy git+https://github.com/stuartellis/tf-tasks my-project
cd my-project
TFT_CONTEXT=dev task tft:context:new
TFT_UNIT=my-app task tft:new
The tft:new
task creates a unit, a complete Terraform root module. This root module includes code for AWS, so that it will work immediately once the tfvar tf_exec_role_arn
for the context is set to the AWS IAM role that TF will use. Enable remote state storage by adding the settings to the context, or use local state.
You can then start working with your TF module:
# Set a default context and unit
export TFT_CONTEXT=dev TFT_UNIT=my-app
# Run tasks on the unit with the configuration from the context
task tft:init
task tft:plan
task tft:apply
# Specifically set the unit and context for one task
TFT_CONTEXT=dev TFT_UNIT=my-app task tft:test
First, you use Copier to either generate a new project, or to add this tooling to an existing project.
The tooling uses specific files and directories:
|- tasks/
| |
| |- tft/
| |- Taskfile.yaml
|
|- tf/
| |- .gitignore
| |
| |- contexts/
| | |
| | |- all/
| | |
| | |- template/
| | |
| | |- <generated contexts>
| |
| |- units/
| | |
| | |- template/
| | |
| | |- <generated unit definitions>
| |
| |- modules/
|
|- tmp/
| |
| |- tf/
|
|- .gitignore
|- .terraform-version
|- Taskfile.yaml
The Copier template:
- Adds a
.gitignore
file and aTaskfile.yaml
file to the root directory of the project, if these do not already exist. - Provides a
.terraform-version
file. - Provides the file
tasks/tft/Taskfile.yaml
to the project. This file contains the task definitions. - Provides a
tf/
directory structure for TF files and configuration.
The tasks:
- Generate a
tmp/tf/
directory for artifacts. - Only change the contents of the
tf/
andtmp/tf/
directories. - Copy the contents of the
template/
directories to new units and contexts. These provide consistent structures for each component.
You define each set of infrastructure code as a separate component. Each of the infrastructure components in the project is a separate TF root module. This tooling refers to these TF root modules as units. Each TF unit is a subdirectory in the directory tf/units/
.
To create a new unit, use the tft:new
task:
TFT_UNIT=my-app task tft:new
The tooling creates each new unit as a copy of the files in tf/units/template/
. The template directory contains a complete, working TF module for AWS resources. This means that each new unit is immediately ready to use.
You are free to change units as you need. For example, you can completely remove the AWS resources. The tooling only requires that a unit is a valid TF module with these tfvars:
environment_name
(string)product_name
(string)unit_name
(string)variant
(string)
To avoid compatibility issues, I recommend that you use names that only include lowercase letters, numbers and hyphen characters, with the first character being a lowercase letter. Avoid defining environment and variant names that are longer than 7 characters, and unit names that are longer than 12 characters.
If you amend a module to not use AWS, ensure that you change the tests.
This tooling uses contexts to provide profiles for TF. Contexts enable you to deploy multiple instances of the same unit with different configurations.
To create a new context, use the tft:context:new
task:
TFT_CONTEXT=dev task tft:context:new
Each context is a subdirectory in the directory tf/contexts/
that contains a context.json
file and one .tfvars
file per unit.
The context.json
file is the configuration file for the context. It specifies metadata and settings for TF remote state. Each context.json
file specifies two items of metadata:
environment
description
The environment
is a string that is automatically provided to TF as the tfvar environment_name
. There are no limitations on how your code uses this tfvar. The description
is deliberately not used by this tooling, so that you may use it however you wish.
Here is an example of a context.json
file:
{
"metadata": {
"description": "Cloud development environment",
"environment": "dev"
},
"backend_s3": {
"tfstate_bucket": "789000123456-tf-state-dev-eu-west-2",
"tfstate_ddb_table": "789000123456-tf-lock-dev-eu-west-2",
"tfstate_dir": "dev",
"region": "eu-west-2",
"role_arn": "arn:aws:iam::789000123456:role/my-tf-state-role"
}
}
To enable you to share common tfvars across all of the contexts for a unit, the directory tf/contexts/all/
contains one .tfvars
file for each unit. The .tfvars
file for a unit in the all
directory is always used, along with .tfvars
for the current context.
The tooling creates each new context as a copy of files in tf/contexts/template/
. It uses standard.tfvars
to create the tfvars files that are created for new units.
To avoid issues, I recommend that you use context names that only include lowercase letters, numbers and hyphen characters, with the first character being a lowercase letter. Avoid defining context names that are longer than 12 characters.
Contexts exist to configure TF. To avoid coupling live resources directly to individual contexts, the tooling does not pass the name of the active context to the TF code, only the
environment
name that it specifies.
The variants feature creates extra copies of units for development and testing. A variant is a separate instance of a unit. Each variant of a unit uses the same configuration as other instances with the specified context, but has a unique identifier. Every variant is a TF workspace, so has separate state.
If you do not specify a named variant, TF uses the default workspace for the unit.
Use the environment
, unit_name
and variant
tfvars in your TF code to define resource names that are unique for each instance of the resource. This avoids conflicts.
For convenience, the code in the unit template includes locals and outputs to help with this:
tft_handle
- Normalizes theunit_name
to the first 12 characters, in lowercasetft_standard_prefix
- Combinesenvironment
,unit_name
,variant
andtft_handle
, separated by hyphens
To avoid compatibility issues, I recommend that you use names that only include lowercase letters, numbers and hyphen characters, with the first character being a lowercase letter. Avoid defining environment and variant names that are longer than 7 characters, and unit names that are longer than 12 characters.
To ensure that the template code is compatible with older versions of Terraform, it currently does not use validations on the tfvars.
The test in the unit template includes code to set the value of
variant
to a random string with the prefixtt
. If you use thevariant
in resource names, this ensures that test copies of resources do not conflict with existing resources that were deployed with the same TF module.
The project structure also includes a tf/shared/
directory to hold TF modules that are shared between root modules in the same project. To share modules between projects, publish them to a registry.
By design, this tooling does not specify or enforce any dependencies between infrastructure components. If you need to execute changes in a particular order, specify that order in whichever system you use to carry out deployments.
This tooling does not explicitly support or conflict with the stacks feature of Terraform. I do not currently test with the stacks feature. It is unclear when this feature will be finalised, or if an equivalent will be implemented by OpenTofu.
You need Git and Copier to add this template to a project. Use uv or pipx to run Copier. These tools enable you to use Copier without installing it.
You can either create a new project with this template or add the template to an existing project. Use the same copy sub-command of Copier for both cases. Run Copier with the uvx or pipx run commands, which download and cache software packages as needed. For example:
uvx copier copy git+https://github.com/stuartellis/tf-tasks my-project
I recommend that you use a tool version manager to install copies of Terraform and OpenTofu. Consider using either tenv, which is specifically designed for TF tools, or the general-purpose mise framework. The generated projects include a .terraform-version
file so that your tool version manager can install the Terraform version that you specify.
To use the tasks in a generated project you need:
The TF tasks in the template do not use Python or Copier. This means that they can be run in a restricted environment, such as a continuous integration job.
To see a list of the available tasks in a project, enter task in a terminal window:
task
The tasks use the namespace
tft
. This means that they do not conflict with any other tasks in the project.
Before you manage resources with TF, first create at least one context:
TFT_CONTEXT=dev task tft:context:new
This creates a new context. Edit the context.json
file in the directory tf/contexts/<CONTEXT>/
to set the environment
name and specify the settings for the remote state storage that you want to use.
This tooling currently only supports Amazon S3 for remote state storage.
Next, create a unit:
TFT_UNIT=my-app task tft:new
Use TFT_CONTEXT
and TFT_UNIT
to create a deployment of the unit with the configuration from the specified context:
export TFT_CONTEXT=dev TFT_UNIT=my-app
task tft:init
task tft:plan
task tft:apply
You will see a warning when you run
init
with a current version of Terraform. This is because Hashicorp are deprecating the use of DynamoDB with S3 remote state. To support older versions of Terraform, this tooling will continue to use DynamoDB for a period of time.
Name | Description |
---|---|
tft:apply | terraform apply for a unit* |
tft:check-fmt | Checks whether terraform fmt would change the code for a unit |
tft:clean | Remove the generated files for a unit |
tft:console | terraform console for a unit* |
tft:destroy | terraform apply -destroy for a unit* |
tft:fmt | terraform fmt for a unit |
tft:forget | terraform workspace delete for a variant* |
tft:init | terraform init for a unit. An alias for tft:init:s3 . |
tft:new | Add the source code for a new unit. Copies content from the tf/units/template/ directory |
tft:plan | terraform plan for a unit* |
tft:rm | Delete the source code for a unit |
tft:test | terraform test for a unit* |
tft:validate | terraform validate for a unit* |
*: These tasks require that you first initialise the unit.
Name | Description |
---|---|
tft:context:list | List the contexts |
tft:context:new | Add a new context. Copies content from the tf/contexts/template/ directory |
tft:context:rm | Delete the directory for a context |
Name | Description |
---|---|
tft:init:local | terraform init for a unit, with local state. |
tft:init:s3 | terraform init for a unit, with Amazon S3 remote state. |
Set these variables to override the defaults:
TFT_PRODUCT_NAME
- The name of the projectTFT_CLI_EXE
- The Terraform or OpenTofu executable to useTFT_VARIANT
- See the section on variantsTFT_REMOTE_BACKEND
- Set to false to force the use of local TF state
To update projects with the latest version of this template, use the update feature of Copier:
cd my-project
uvx copier update -A -a .copier-answers-tf-task.yaml .
This synchronizes the files in your project that the template manages with the latest release of the template.
Copier only changes the files and directories that are managed by the template.
Use the variants feature to deploy extra copies of units for development and testing. Each variant of a unit uses the same configuration as other instances with the specified context.
Specify TFT_VARIANT
to create a variant:
export TFT_CONTEXT=dev TFT_UNIT=my-app TFT_VARIANT=feature1
task tft:plan
task tft:apply
The tooling automatically sets the value of the tfvar variant
to match TFT_VARIANT
. This ensures that every variant has a unique identifier that can be used in TF code.
Only set TFT_VARIANT
when you want to create an alternate version of a unit. If you do not specify a variant name, TF uses the default workspace for state, and the value of the tfvar variant
is default
.
This tooling supports the test features of TF. Each unit includes a minimum test configuration, so that you can run immediately run tests on the module as soon as it is created.
A test creates and then immediately destroys resources without storing the state. To ensure that temporary test copies of units do not conflict with other copies of the resources, the test in the unit template includes code to set the value of variant
to a random string with the prefix tt
.
To validate a unit before any resources are deployed, use the tft:validate
task:
export TFT_CONTEXT=dev TFT_UNIT=my-app
task tft:validate
To run tests on a unit, use the tft:test
task:
export TFT_CONTEXT=dev TFT_UNIT=my-app
task tft:test
The tests create and destroy temporary copies of resources on the cloud services that being managed. Check the expected behaviour of the resources, because cloud services may not immediately remove some types of resources.
By default, this tooling uses Amazon S3 for remote state storage. To initialize a unit with local state storage, use the task tft:init:local
rather than tft:init
:
task tft:init:local
To use local state, you will also need to comment out the backend "s3" {}
block in the main.tf
file.
I highly recommend that you only use TF local state for prototyping. Local state means that the resources can only be managed from a computer that has access to the state files.
By default, this tooling uses the copy of Terraform that is found on your PATH
. Set TFT_CLI_EXE
as an environment variable to specify the path to the tool that you wish to use. For example, to use OpenTofu, set TFT_CLI_EXE
with the value tofu
:
TFT_CLI_EXE=tofu
This project was built for my personal use. I will consider suggestions and Pull Requests, but I may decline anything that makes it less useful for my needs. You are welcome to fork this project.
Some of the configuration files for this project template are provided by my project baseline Copier template. To synchronize a copy of this project template with the baseline template, run these commands:
cd tf-tasks
copier update -A -a .copier-answers-baseline.yaml .
MIT © 2025 Stuart Ellis