Terraforming

Build Status Code Climate Test Coverage Dependency Status Gem Version MIT License Docker Repository on Quay.io

Export existing AWS resources to Terraform style (tf, tfstate)

Supported version

Ruby 2.x

Installation

Add this line to your application's Gemfile:

gem 'terraforming'

And then execute:

$ bundle

Or install it yourself as:

$ gem install terraforming

Prerequisites

You need to set AWS credentials.

export AWS_ACCESS_KEY_ID=XXXXXXXXXXXXXXXXXXXX
export AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
export AWS_DEFAULT_REGION=xx-yyyy-0

Usage

$ terraforming
Commands:
  terraforming dbpg            # Database Parameter Group
  terraforming dbsg            # Database Security Group
  terraforming dbsn            # Database Subnet Group
  terraforming ec2             # EC2
  terraforming ecc             # ElastiCache Cluster
  terraforming ecsn            # ElastiCache Subnet Group
  terraforming elb             # ELB
  terraforming iamg            # IAM Group
  terraforming iamgm           # IAM Group Membership
  terraforming iamgp           # IAM Group Policy
  terraforming iamip           # IAM Instance Profile
  terraforming iamp            # IAM Policy
  terraforming iamr            # IAM Role
  terraforming iamrp           # IAM Role Policy
  terraforming iamu            # IAM User
  terraforming iamup           # IAM User Policy
  terraforming nacl            # Network ACL
  terraforming r53r            # Route53 Record
  terraforming r53z            # Route53 Hosted Zone
  terraforming rds             # RDS
  terraforming s3              # S3
  terraforming sg              # Security Group
  terraforming sn              # Subnet
  terraforming vpc             # VPC

Export tf

$ terraforming <resource>

(e.g. S3 buckets):

$ terraforming s3
resource "aws_s3_bucket" "hoge" {
    bucket = "hoge"
    acl    = "private"
}

resource "aws_s3_bucket" "fuga" {
    bucket = "fuga"
    acl    = "private"
}

Export tfstate

$ terraforming <resource> --tfstate [--merge TFSTATE_PATH] [--overwrite]

(e.g. S3 buckets):

$ terraforming s3 --tfstate
{
  "version": 1,
  "serial": 1,
  "modules": {
    "path": [
      "root"
    ],
    "outputs": {
    },
    "resources": {
      "aws_s3_bucket.hoge": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "hoge",
          "attributes": {
            "acl": "private",
            "bucket": "hoge",
            "id": "hoge"
          }
        }
      },
      "aws_s3_bucket.fuga": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "fuga",
          "attributes": {
            "acl": "private",
            "bucket": "fuga",
            "id": "fuga"
          }
        }
      }
    }
  }
}

If you want to merge exported tfstate to existing terraform.tfstate, specify --tfstate --merge=/path/to/terraform.tfstate option. You can overwrite existing terraform.tfstate by specifying --overwrite option together.

Existing terraform.tfstate:

# /path/to/terraform.tfstate

{
  "version": 1,
  "serial": 88,
  "remote": {
    "type": "s3",
    "config": {
      "bucket": "terraforming-tfstate",
      "key": "tf"
    }
  },
  "modules": {
    "path": [
      "root"
    ],
    "outputs": {
    },
    "resources": {
      "aws_elb.hogehoge": {
        "type": "aws_elb",
        "primary": {
          "id": "hogehoge",
          "attributes": {
            "availability_zones.#": "2",
            "connection_draining": "true",
            "connection_draining_timeout": "300",
            "cross_zone_load_balancing": "true",
            "dns_name": "hoge-12345678.ap-northeast-1.elb.amazonaws.com",
            "health_check.#": "1",
            "id": "hogehoge",
            "idle_timeout": "60",
            "instances.#": "1",
            "listener.#": "1",
            "name": "hoge",
            "security_groups.#": "2",
            "source_security_group": "default",
            "subnets.#": "2"
          }
        }
      }
    }
  }
}

To generate merged tfstate:

$ terraforming s3 --tfstate --merge=/path/to/tfstate
{
  "version": 1,
  "serial": 89,
  "remote": {
    "type": "s3",
    "config": {
      "bucket": "terraforming-tfstate",
      "key": "tf"
    }
  },
  "modules": {
    "path": [
      "root"
    ],
    "outputs": {
    },
    "resources": {
      "aws_elb.hogehoge": {
        "type": "aws_elb",
        "primary": {
          "id": "hogehoge",
          "attributes": {
            "availability_zones.#": "2",
            "connection_draining": "true",
            "connection_draining_timeout": "300",
            "cross_zone_load_balancing": "true",
            "dns_name": "hoge-12345678.ap-northeast-1.elb.amazonaws.com",
            "health_check.#": "1",
            "id": "hogehoge",
            "idle_timeout": "60",
            "instances.#": "1",
            "listener.#": "1",
            "name": "hoge",
            "security_groups.#": "2",
            "source_security_group": "default",
            "subnets.#": "2"
          }
        }
      },
      "aws_s3_bucket.hoge": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "hoge",
          "attributes": {
            "acl": "private",
            "bucket": "hoge",
            "id": "hoge"
          }
        }
      },
      "aws_s3_bucket.fuga": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "fuga",
          "attributes": {
            "acl": "private",
            "bucket": "fuga",
            "id": "fuga"
          }
        }
      }
    }
  }
}

After writing exported tf and tfstate to files, execute terraform plan and check the result. There should be no diff.

$ terraform plan
No changes. Infrastructure is up-to-date. This means that Terraform
could not detect any differences between your configuration and
the real physical resources that exist. As a result, Terraform
doesn't need to do anything.

Run as Docker container Docker Repository on Quay.io

Terraforming Docker Image is available at quay.io/dtan4/terraforming and developed at dtan4/dockerfile-terraforming.

Pull the Docker image:

$ docker pull quay.io/dtan4/terraforming:latest

And then run Terraforming as a Docker container:

$ docker run \
    --rm \
    --name terraforming \
    -e AWS_ACCESS_KEY_ID=XXXXXXXXXXXXXXXXXXXX \
    -e AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx \
    -e AWS_DEFAULT_REGION=xx-yyyy-0 \
    quay.io/dtan4/terraforming:latest \
    terraforming s3

Development

After checking out the repo, run script/setup to install dependencies. Then, run script/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release to create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

  1. Fork it ( https://github.com/dtan4/terraforming/fork )
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

License

MIT License