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Pytest fixures for running tests with Docker containers

Project description

PyDocks

PyDocks is a group of pytest fixures for running tests with Docker containers

Demonstration:

import pytest
import asyncpg

@pytest.mark.asyncio
async def test_postgresql_execute_command(postgresql_container):
    # Connect to the PostgreSQL database
    conn = await asyncpg.connect(
        host="127.0.0.1",
        port=5433,
        user="postgres",
        password="postgres",
        database="postgres",
    )

    try:
        # Execute a simple command
        result = await conn.fetchval("SELECT 1")
        assert result == 1, "Failed to execute command on PostgreSQL"
    finally:
        # Close the connection
        await conn.close()

Table of Contents

Description

PyDocks is a Python library that provides a set of pytest fixtures for running tests with Docker containers. It simplifies the process of setting up, managing, and tearing down Docker containers during test execution.

Key features include:

  • Easy integration with pytest
  • Support for PostgreSQL, Hashicorp Vault, Redis, Valkey, and more
  • Automatic container cleanup
  • Configurable container settings
  • Reusable session-scoped containers for improved test performance

PyDocks is designed to make testing with Docker containers more efficient and less error-prone, allowing developers to focus on writing tests rather than managing infrastructure.

Installation

# Install the dependency
pip install pydocks
uv add pydocks
poetry add pydocks

Documentation

Preview the site locally with just docs-serve or build it with just docs-build.

Development

Install just and uv, then:

just install    # install dependencies
just test       # run tests (no coverage gate)
just test-cov   # run tests with 100% coverage enforcement
just coverage   # show coverage report from the last test-cov run
just lint       # run linter and formatter
just check      # run pyright
just docs-build # build MkDocs site
just docs-serve # preview docs locally
just --list     # list all recipes

Tests collect coverage via just test-cov, which fails if line coverage drops below 100%. CI runs the same recipe, publishes a coverage summary in the job output, posts a comment on pull requests, and uploads coverage.xml / HTML reports as workflow artifacts.

Usage

Remove all old containers

import logging
import pytest
import pytest_asyncio

logger = logging.getLogger(__name__)

@pytest_asyncio.fixture(scope="session", loop_scope="session", autouse=True)
async def begin_clean_all_containers(postgresql_clean_all_containers):
    logger.info(
        "Beginning container cleanup session",
        extra={"feature": "postgresql"},
    )

Use a function container

import pytest

@pytest.mark.asyncio
async def test_postgresql_execute_command(postgresql_container):
  ...

Use a session container, to keep the container to use it in multiple tests

import pytest

@pytest.mark.asyncio(loop_scope="session")
async def test_reuse_postgresql_container_1_2(postgresql_container_session):
  ...
  # postgresql_container_session creates a new container

@pytest.mark.asyncio(loop_scope="session")
async def test_reuse_postgresql_container_2_2(postgresql_container_session):
  ...
  # postgresql_container_session uses the same instance of container created in test_reuse_postgresql_container_1_2

Available Containers

PyDocks provides fixtures for the following Docker containers:

  • PostgreSQL: postgresql_container, postgresql_container_session, postgresql_clean_all_containers
  • Redis: redis_container, redis_container_session, redis_clean_all_containers
  • Valkey: valkey_container, valkey_container_session, valkey_clean_all_containers
  • Hashicorp Vault: vault_container, vault_container_session, vault_clean_all_containers
  • Ubuntu: ubuntu_container, ubuntu_container_session, ubuntu_clean_all_containers
  • Alpine: alpine_container, alpine_container_session, alpine_clean_all_containers
  • OpenTofu: opentofu_container, opentofu_container_session, opentofu_clean_all_containers

License

PyDocks is released under the MIT License. See the LICENSE file for more details.

Contact

For questions, suggestions, or issues related to PyDocks, please open an issue on the GitHub repository.

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