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testcontainers
Advanced tools
Python library for throwaway instances of anything that can run in a Docker container
testcontainers-python facilitates the use of Docker containers for functional and integration testing.
For more information, see the docs.
>>> from testcontainers.postgres import PostgresContainer
>>> import sqlalchemy
>>> with PostgresContainer("postgres:16") as postgres:
... engine = sqlalchemy.create_engine(postgres.get_connection_url())
... with engine.begin() as connection:
... result = connection.execute(sqlalchemy.text("select version()"))
... version, = result.fetchone()
>>> version
'PostgreSQL 16...'
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.
See CONTRIBUTING.md for more details.
You can set environment variables to configure the library behaviour:
| Env Variable | Example | Description |
|---|---|---|
TESTCONTAINERS_DOCKER_SOCKET_OVERRIDE | /var/run/docker.sock | Path to Docker's socket used by ryuk |
TESTCONTAINERS_RYUK_PRIVILEGED | false | Run ryuk as a privileged container |
TESTCONTAINERS_RYUK_DISABLED | false | Disable ryuk |
RYUK_CONTAINER_IMAGE | testcontainers/ryuk:0.8.1 | Custom image for ryuk |
RYUK_RECONNECTION_TIMEOUT | 10s | Reconnection timeout for Ryuk TCP socket before Ryuk reaps all dangling containers |
Alternatively you can set the configuration during runtime:
from testcontainers.core import testcontainers_config
testcontainers_config.ryuk_docker_socket = "/home/user/docker.sock"
FAQs
Python library for throwaway instances of anything that can run in a Docker container
We found that testcontainers demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
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