testcontainers-python

testcontainers-python facilitates the use of Docker containers for functional and integration testing. The collection of packages currently supports the following features.

.. toctree::
core/README
arangodb/README
azurite/README
clickhouse/README
compose/README
elasticsearch/README
google/README
kafka/README
keycloak/README
localstack/README
minio/README
mongodb/README
mssql/README
mysql/README
neo4j/README
nginx/README
opensearch/README
oracle/README
postgres/README
rabbitmq/README
redis/README
selenium/README

Getting Started

>>>fromtestcontainers.postgresimportPostgresContainer>>>importsqlalchemy>>>withPostgresContainer("postgres:9.5") aspostgres:
... engine=sqlalchemy.create_engine(postgres.get_connection_url())
... result=engine.execute("select version()")
... version, =result.fetchone()
>>>version'PostgreSQL 9.5...'

The snippet above will spin up a postgres database in a container. The get_connection_url() convenience method returns a sqlalchemy compatible url we use to connect to the database and retrieve the database version.

Installation

The suite of testcontainers packages is available on PyPI, and individual packages can be installed using pip. We recommend installing the package you need by running pip install testcontainers-<feature>, e.g., pip install testcontainers-postgres.

Note

For backwards compatibility, packages can also be installed by specifying extras, e.g., pip install testcontainers[postgres].

Docker in Docker (DinD)

When trying to launch a testcontainer from within a Docker container, e.g., in continuous integration testing, two things have to be provided:

1. The container has to provide a docker client installation. Either use an image that has docker pre-installed (e.g. the official docker images) or install the client from within the Dockerfile specification.
2. The container has to have access to the docker daemon which can be achieved by mounting /var/run/docker.sock or setting the DOCKER_HOST environment variable as part of your docker run command.

Development and Contributing

We recommend you use a virtual environment for development (python>=3.7 is required). After setting up your virtual environment, you can install all dependencies and test the installation by running the following snippet.

pip install -r requirements/[your python version].txt
pytest -s

Package Structure

Testcontainers is a collection of implicit namespace packages to decouple the development of different extensions, e.g., testcontainers-mysql and testcontainers-postgres for MySQL and PostgreSQL database containers, respectively. The folder structure is as follows.

# One folder per feature.
[feature name]
# Folder without __init__.py for implicit namespace packages.
testcontainers
# Implementation as namespace package with __init__.py.
[feature name]
__init__.py
# Other files for this
...
# Tests for the feature.
tests
test_[feature_name].py
...
# README for this feature.
README.rst
# Setup script for this feature.
setup.py

Contributing a New Feature

You want to contribute a new feature or container? Great! You can do that in six steps as outlined here <https://github.com/testcontainers/testcontainers-python/blob/main/.github/PULL_REQUEST_TEMPLATE/new_container.md>__.