helicopyter 2024.39.1

Python Terraform JSON configuration generator

Helicopyter

Helicopyter allows people to conveniently describe infrastructure using Python.

Perhaps like a helicopter hovering between the clouds and the ground, it allows this in a way that's less like the AWS Cloud Development Kit (CDK) and more like Terraform.

Background

Helicopyter uses CDKTF and is inspired by Configerator and Terraformpy.

What Helicopyter does (goals)

• Name in the resource-prefix Terraform style, instead of the hash-suffix CDK style. This makes reviewing plan output easier, and aligns with "Namespaces are one honking great idea -- let's do more of those!"
• Simplify main.py files by
  • Removing the App class, which does not correspond to a Terraform concept. Instead
    • A string attribute provides name information
    • Resource-specific scopes are provided by HeliStack.push()
    • The synth method is replaced by a module-level function, and called from a central location instead of distributed boilerplate.
  • Making custom TerraformStack/HeliStack subclasses optional instead of required. Defining a subclass only to instantiate one instance of it is more complicated than instantiating the base class and modifying the instance.

--- documentation/learn_cdktf_docker.py   2024-08-05 08:47:30
+++ documentation/learn_helicopyter_docker.py     2024-08-05 08:47:25
@@ -1,28 +1,18 @@
-from cdktf import App, TerraformStack
 from cdktf_cdktf_provider_docker.container import Container
 from cdktf_cdktf_provider_docker.image import Image
-from cdktf_cdktf_provider_docker.provider import DockerProvider
-from constructs import Construct
+from helicopyter import HeliStack
 
-class MyStack(TerraformStack):
-    def __init__(self, scope: Construct, ns: str):
-        super().__init__(scope, ns)
+def synth(stack: HeliStack):
- 
-        DockerProvider(self, 'docker')
+    stack.provide('docker')
 
-        docker_image = Image(self, 'nginxImage', name='nginx:latest', keep_locally=False)
+    docker_image = stack.push(Image, 'nginxImage', name='nginx:latest', keep_locally=False)
 
-        Container(
-            self,
-            'nginxContainer',
-            name='tutorial',
-            image=docker_image.name,
-            ports=[{'internal': 80, 'external': 8000}],
-        )
+    stack.push(
+        Container,
+        'nginxContainer',
+        name='tutorial',
+        image=docker_image.name,
+        ports=[{'internal': 80, 'external': 8000}],
+    )
-
-
-app = App()
-MyStack(app, 'learn-cdktf-docker')
-
-app.synth()

• Enable hand-written and auto-generated Hashicorp Configuration Language (HCL) files to co-exist, allowing incremental adoption.
• Separate object instantiation from synthesis, allowing Python script to import the objects/data and do completely different things with them.
• Golang Terraform has a pretty good command line interface. The ht[aip] functions in includes.sh try to wrap it very lightly.

What Helicopyter will probably never do (non-goals)

• Support languages other than Python
• Make use of CDKTF's command line interface. Integration with it is untested and not recommended.

What Helicopyter might do in the future

• Support multiple backend configurations per codename
• Iterate on supported directory structures. For hysterical raisins, the currently supported directory structure is f'deploys/{cona}/terraform', grouping
  • Primarily by COdeNAme (CONA), which is probably synonymous with application, deployment, and service
  • Secondarily by tool, such as ansible, docker, terraform, python
• __str__() for to_string(), etc.
• Why do we need a Node.js server? Can we build dataclasses or Pydantic models out of the type annotations already being generated?
• Provide helper classes or functions for useful but annoyingly verbose patterns such as local-exec provisioner command
• Backend / state file linter such as: prod must exist, and region/bucket/workspace_key_prefix/key must follow pattern