Skip to main content

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:

@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 containers, Redis
  • 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

Usage

Remove all old containers

import pytest_asyncio

@pytest_asyncio.fixture(scope="session", loop_scope="session", autouse=True)
async def begin_clean_all_containers(postgresql_clean_all_containers):
    logger.info("Begin - clean all containers")

Use a function container

@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

@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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydocks-1.3.1.tar.gz (76.4 kB view details)

Uploaded Source

Built Distribution

pydocks-1.3.1-py3-none-any.whl (10.0 kB view details)

Uploaded Python 3

File details

Details for the file pydocks-1.3.1.tar.gz.

File metadata

  • Download URL: pydocks-1.3.1.tar.gz
  • Upload date:
  • Size: 76.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pydocks-1.3.1.tar.gz
Algorithm Hash digest
SHA256 4f239038e43390b79b8fbfa8b96ce634cfdcbca8190ad38f97b08650caf897bd
MD5 7015eeb024820492f2c484a28a9c8911
BLAKE2b-256 468f91f8bfe7e632cdc65897d12f5047bea612696927046ad9f42ac1e0952bb5

See more details on using hashes here.

File details

Details for the file pydocks-1.3.1-py3-none-any.whl.

File metadata

  • Download URL: pydocks-1.3.1-py3-none-any.whl
  • Upload date:
  • Size: 10.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pydocks-1.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a25da9983dfc30c5afc89d5c8544cf0651a53a05f80a3abc80d38ce8f205b8bd
MD5 2263e5430dd2928b88e6b3a95a981c43
BLAKE2b-256 5ae8a1b8f74d71834849c3d5b147696a3edb00ea4ae4c63151c660a37ccde036

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page