Python_template

screenshot of Python_template

Template for dockerized python project with environment and entrypoint management - web, jupyter.

Overview:

The python_templateInfrastructureTemplate is a Dockerized Python project that provides an environment and entrypoint management system. It aims to be fully agnostic, allowing users to run the project anywhere using the same command, while still having different entrypoint behaviors based on the environment. The project also ensures that non-secrets are stored in environment files in the repository and passed to the container, while secrets can be provided as environment variables from the host runtime or from a separate file. The template is designed to be Kubernetes ready and offers unified commands that abstract underlying details for all tasks. The code is clean and well-organized, providing an efficient and straightforward development experience. The use of multistage build is optional but unnecessary, given the functionality provided by the template.

Features:

  • Agnostic Dockerization: Provides Docker-compose, Dockerfile, and built image that can be used universally across different environments.
  • Environment Management: Allows for different entrypoint behaviors based on the passed environment.
  • Consolidated Non-Secrets: Non-secrets are stored in environment files within the repository and passed to the container.
  • Secured Secrets: Secrets can be provided as environment variables from the host runtime or from a separate file, ensuring their security.
  • Kubernetes Readiness: Designed to be compatible with Kubernetes for effortless deployment.
  • Unified Commands: Offers unified commands that abstract underlying details, simplifying the execution of tasks.
  • Code Organization: Clean and well-organized codebase, ensuring easy maintenance and future development.

Summary:

The python_templateInfrastructureTemplate is a highly flexible and efficient Dockerized Python project that provides environment and entrypoint management. It ensures consistent behavior across different environments while allowing for customization based on the passed environment. The template facilitates the storage and management of non-secrets and secrets, offering enhanced security for sensitive information. With its compatibility with Kubernetes and unified commands, the template simplifies deployment and tasks execution. The clean and well-organized codebase enhances maintainability and supports future development. Overall, the python_templateInfrastructureTemplate is an excellent tool for building robust and scalable Python projects.