pytest-infrahouse 0.11.0

A set of fixtures to use with pytest

A pytest plugin that provides Terraform fixtures for testing AWS infrastructure with pytest. This plugin enables you to write unit tests that verify the actual behavior of Terraform providers, particularly the AWS provider, by creating and managing real AWS resources during test execution.

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Overview

This repository implements a pytest plugin with Terraform fixtures specifically designed for pytest Terraform unit tests. The Terraform tests allow you to verify actual behavior of Terraform providers, namely AWS, by:

• Creating real AWS infrastructure during tests

• Providing reusable fixtures for common AWS resources

• Managing resource lifecycle (creation and cleanup)

• Supporting multiple AWS regions and IAM roles

• Enabling integration testing of Terraform modules

Features

• AWS Client Fixtures: Pre-configured boto3 clients for EC2, ELB, Route53, IAM, and more

• Infrastructure Fixtures: Ready-to-use fixtures for common AWS resources:

  • service_network - VPC with public/private subnets

  • instance_profile - IAM instance profile for EC2 instances

  • jumphost - EC2 jumphost with proper networking

  • elasticsearch - Elasticsearch cluster setup

  • ses - Simple Email Service configuration

• Terraform Integration: Seamless integration with Terraform via terraform_apply context manager

• Resource Management: Automatic cleanup of AWS resources after tests (configurable)

• Multi-Region Support: Test across different AWS regions

• IAM Role Support: Assume roles for testing in different AWS accounts

Requirements

• Python 3.10+

• pytest 8.3+

• Terraform installed and in PATH

• AWS credentials configured

• boto3 and botocore

Installation

You can install “pytest-infrahouse” via pip from PyPI:

$ pip install pytest-infrahouse

For development:

$ pip install -e .

Usage

Basic Example

def test_my_vpc(service_network, aws_region):
    """Test that creates a VPC and verifies its configuration."""
    vpc_id = service_network["vpc_id"]["value"]
    assert vpc_id.startswith("vpc-")

Using Custom Terraform Modules

from pytest_infrahouse import terraform_apply

def test_custom_infrastructure(aws_region, test_role_arn, request):
    module_path = "path/to/terraform/module"

    # Write terraform.tfvars
    with open(f"{module_path}/terraform.tfvars", "w") as fp:
        fp.write(f'region = "{aws_region}"\n')
        if test_role_arn:
            fp.write(f'role_arn = "{test_role_arn}"\n')

    # Apply Terraform and test
    with terraform_apply(module_path, destroy_after=True) as tf_output:
        assert tf_output["resource_name"]["value"] == "expected_value"

Command Line Options

The plugin adds several command-line options:

pytest --test-zone-name example.com          # Set DNS zone for tests
pytest --aws-region us-west-2               # Set AWS region
pytest --test-role-arn arn:aws:iam::123:role/test-role  # Set IAM role
pytest --keep-after                         # Don't destroy resources after tests

Available Fixtures

AWS Client Fixtures:

• boto3_session - Configured boto3 session

• ec2_client - EC2 client

• route53_client - Route53 client

• elbv2_client - ELBv2 client

• iam_client - IAM client

• autoscaling_client - Auto Scaling client

Infrastructure Fixtures:

• service_network - VPC with public/private subnets, internet gateway

• instance_profile - IAM instance profile for EC2

• jumphost - EC2 jumphost in the service network

• elasticsearch - Elasticsearch cluster

• ses - Simple Email Service setup

Configuration Fixtures:

• aws_region - AWS region for tests

• test_role_arn - IAM role ARN to assume

• test_zone_name - Route53 zone name

• keep_after - Whether to keep resources after tests

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the Apache Software License 2.0 license, “pytest-infrahouse” is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.