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Exploring Containerized Environments with hatch-containers

Lake Davenberg Avatar

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Containers have become an essential part of modern software development, offering lightweight and isolated environments for running applications. In this article, we will explore hatch-containers, a plugin for Hatch that allows you to easily create and manage containerized environments.

Installation

To get started with hatch-containers, simply install it using pip:

#bash
pip install hatch-containers

Configuration

After installing hatch-containers, you can configure it using either a pyproject.toml or hatch.toml file. Below are the available configuration options:

Python

Specify the Python version for the container environment. You can either set it explicitly or let Hatch use the default Python version:

#toml
[tool.hatch.envs.]
type = "container"
python = "3.9"

Image

Specify the container image to use. You can use placeholders to dynamically set the Python version:

#toml
[envs.]
type = "container"
image = "python:{version}"

Command

Define the command that the container will execute when started. By default, it sleeps indefinitely:

#toml
[envs.]
type = "container"
command = ["/bin/sleep", "infinity"]

Startup

Control when containers should start and stop. By default, containers start automatically when entered and stop immediately after. If you want them to start upon creation and stop only upon removal, set start-on-creation to true:

#toml
[envs.]
type = "container"
start-on-creation = true

Shell

Specify the executable to use when entering containers. By default, it uses /bin/bash or /bin/ash for Alpine-based images:

#toml
[envs.]
type = "container"
shell = "/bin/bash"

Example Integrations

Integration with Docker

hatch-containers provides seamless integration with Docker, allowing you to easily create and manage Docker containers for your development environment. Here’s an example Dockerfile that utilizes hatch-containers:

#Dockerfile
FROM python:3.9

RUN pip install hatch-containers

COPY . /app

WORKDIR /app

CMD ["hatch", "activate", "--env", ""]

Integration with Python

hatch-containers can be integrated with Python projects to create reproducible development environments. Below is an example of using hatch-containers with a Python project:

#python
# main.py
import hatch_containers

def main():
    hatch_containers.setup_environment()
    # Rest of your Python code

if __name__ == "__main__":
    main()

Integration with Shell

hatch-containers can also be used with shell scripts to automate container management tasks. Here’s an example of a shell script that utilizes hatch-containers:

#bash
#!/bin/bash

hatch activate --env 

# Rest of your shell script

By integrating hatch-containers with other software products, you can easily create and manage containerized environments for your development workflow. Whether it’s integrating with Docker, Python, or Shell, hatch-containers provides a seamless experience for working with containers.

Conclusion

In this article, we explored hatch-containers, a plugin for Hatch that allows you to create and manage containerized environments. We covered the installation and configuration of hatch-containers, and provided examples of integrating it with Docker, Python, and Shell. With hatch-containers, you can easily leverage the power of containers in your development workflow and ensure reproducibility and isolation.

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