py2tf 0.3.0

Convert Pydantic Models into Terraform Variables

Pydantic to Terraform

This library converts Pydantic Models into Terraform Variables.

Usage

This needs to be installed in the same virtual environment as the Models that it is converting. Once installed a CLI tool, py2tf, will be available in the environment.

For example, to generate a variables file for the RDS ParameterValidation class-

robert@Roberts-MacBook-Pro terraform-aws-core % py2tf modules.rds.validation.parameters:ParameterValidation

The command will output the following to stdout:

variable "type" {
  type = string
  default = null
}

variable "pit_identifier" {
  type = string
  default = null
}

variable "tags" {
  type = map(any)
  default = {}
}

variable "name" {
  type = string
  validation {
    # Automatically Generated from Rule: minlength
    condition     = length(var.name) >= 1
    error_message = "Field should not be less than 1 characters"
  }
  validation {
    # Automatically Generated from Rule: maxlength
    condition     = length(var.name) <= 63
    error_message = "Field should not be larger than 63 characters"
  }
  validation {
    # Automatically Generated from Rule: pattern
    condition     = length(regexall("^(?!.*--)[a-zA-Z][A-Za-z0-9.-]+(?<!-)$", var.name)) > 0
    error_message = "Field does not match regex pattern ^(?!.*--)[a-zA-Z][A-Za-z0-9.-]+(?<!-)$"
  }
}

variable "vpc_name" {
  type = string
}

variable "engine" {
  type = string
  validation {
    # Automatically Generated from Rule: minlength
    condition     = length(var.engine) >= 1
    error_message = "Field should not be less than 1 characters"
  }
}

variable "engine_version" {
  type = string
  validation {
    # Automatically Generated from Rule: minlength
    condition     = length(var.engine_version) >= 1
    error_message = "Field should not be less than 1 characters"
  }
}

variable "is_public" {
  type = bool
  default = false
}

Next Steps

At the moment this does not generate validation rules (min/max length, regex, etc).