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Python Development CLI

Project description

PIB CLI

A development environment CLI, complete with tooling.

Project Documentation

Develop Branch

pib_cli-automation

Master Branch

pib_cli-automation

Installation

This is a development environment CLI, with a customizable yaml config.

It's built into this Cookie Cutter template:

To install, simply use: pip install pib_cli

Usage

  • use the dev command for details once inside the container

Container

python:3.7-slim

License

MPL-2

Installed Packages:

package Description
bandit Finds common security issues
commitizen Standardizes commit messages
isort Sorts imports
poetry Python Package Manager
pylint Static Code Analysis
pytest Test suite
pytest-cov Coverage support for pytest
sphinx Generating documentation
safety Dependency vulnerability scanning
wheel Package distribution tools
yamllint Lint yaml configuration files
yapf Customizable Code Formatting

Customizing the Command Line Interface

The CLI has some defaults built in, but is customizable by setting the PIB_CONFIG_FILE_LOCATION environment variable. The default config file can be found here.

Each command is described by a yaml key in this format :

- name: "command-name"
  path_method: "location_string"
  commands:
    - "one or more"
    - "shell commands"
    - "each run in a discrete environment"
  success: "Success Message"
  failure: "Failure Message"

where location_string is one of:

  • project_root (/app)
  • project_docs (/app/documentation)
  • project_home (/app/${PROJECT_HOME})

Installing a virtual environment, and the CLI on your host machine

The scripts/extras.sh script does this for you.

First install poetry on your host machine:

  • pip install poetry

Then source this script, setup the hostmachine, and you can use the dev command on your host:

  • source scripts/extras.sh
  • pib_setup_hostmachine (to install the poetry dependencies)
  • dev --help (to run the cli outside the container)

It is still recommended to work inside the container, as you'll have access to the full managed python environment, as well as any additional services you are running in containers.

Development Dependencies

You'll need to install:

Setup the Development Environment

Build the development environment container (this takes a few minutes):

  • docker-compose build

Start the environment container:

  • docker-compose up -d

Spawn a shell inside the container:

  • ./container

Project details


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