Skip to main content

A collection of command line helper scripts wrapping tools used during Python development.

Project description

🧰  Delfino  🧰

A collection of command line helper scripts wrapping tools used during Python development.

CircleCI Codecov GitHub tag (latest SemVer) Maintenance GitHub last commit PyPI - Python Version

Table of content

Installation

  • pip: pip install delfino[all]
  • Poetry: poetry add -D delfino[all]
  • Pipenv: pipenv install -d delfino[all]

Optional dependencies

Each project may use different sub-set of commands. Therefore, dependencies of all commands are optional and checked only when the command is executed.

Using [all] installs all the optional dependencies used by all the built-in commands. If you want only a sub-set of those dependencies, there are finer-grained groups available:

  • For top-level parameters:
    • completion - for --show-completion and --install-completion
  • For individual commands (matches the command names):
    • upload_to_pypi
    • build_docker
    • typecheck
    • format
  • For groups of commands:
    • test - for testing and coverage commands
    • lint - for all the linting commands
  • For groups of groups:
    • verify_all - same as [typecheck,format,test,lint]
    • all - all optional packages

Configuration

Delfino will assume certain project structure. However, you can customize it to match your own by overriding the default values in the pyproject.toml file. Here are the defaults that you can modify:

[tool.delfino]
reports_directory = "reports"
sources_directory = "src"
tests_directory = "tests"
test_types = ["unit", "integration"]
disable_commands = []
verify_commands = ["format", "lint", "typecheck", "test-all"]
disable_pre_commit = false

[tool.delfino.typecheck]
strict_directories = ['src']

[tool.delfino.dockerhub]
username = ""
build_for_platforms = [
    "linux/amd64",
    "linux/arm64",
    "linux/arm/v7",
]

Usage

Run delfino --help to see all available commands and their usage.

Auto-completion

You can either attempt to install completions automatically with:

delfino --install-completion

or generate it with:

delfino --show-completion

and manually put it in the relevant RC file.

The auto-completion implementation is dynamic so that every time it is invoked, it uses the current project. Each project can have different plugins or disable certain commands it doesn't use. And dynamic auto-completion makes sure only the currently available commands will be suggested.

The downside of this approach is that evaluating what is available each time is slower than a static list of commands.

Development

Delfino is a simple wrapper around Click. It allows you to add custom, project-specific commands. Let's call them plugins. Plugins are expected in the root of the project, in a Python package called commands. Any sub-class of click.Command in any .py file in this folder will be automatically used by Delfino.

Minimal plugin

  1. Create the commands package:
    mkdir commands
    touch commands/__init__.py
    
  2. Create a file commands/plugin_test.py, with the following content:
    import click
    
    @click.command()
    def plugin_test():
        """Tests commands placed in the `commands` folder are loaded."""
        print("✨ This plugin works! ✨")
    
  3. See if Delfino loads the plugin. Open a terminal and in the root of the project, call: delfino --help. You should see something like this:
    Usage: delfino [OPTIONS] COMMAND [ARGS]...
    
    Options:
      --help  Show this message and exit.
    
    Commands:
      ...
      plugin-test            Tests commands placed in the `commands` folder...
      ...
    
  4. Run the plugin with delfino plugin-test

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

delfino-0.19.1.tar.gz (23.9 kB view details)

Uploaded Source

Built Distribution

delfino-0.19.1-py3-none-any.whl (27.6 kB view details)

Uploaded Python 3

File details

Details for the file delfino-0.19.1.tar.gz.

File metadata

  • Download URL: delfino-0.19.1.tar.gz
  • Upload date:
  • Size: 23.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.7.12 Linux/5.15.0-1021-aws

File hashes

Hashes for delfino-0.19.1.tar.gz
Algorithm Hash digest
SHA256 cc5139d6c3a955b52ea425ed76080c2cfd6f2e4271a62802555203b99ba60c12
MD5 7b2dc236d36041c458742662f0cc8dfc
BLAKE2b-256 5197774c40f969fa76629649963d0cc17d9e978cc7d17cd51708896c2c34c4cc

See more details on using hashes here.

File details

Details for the file delfino-0.19.1-py3-none-any.whl.

File metadata

  • Download URL: delfino-0.19.1-py3-none-any.whl
  • Upload date:
  • Size: 27.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.7.12 Linux/5.15.0-1021-aws

File hashes

Hashes for delfino-0.19.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0e4bade8ea902195d07c5c7a3c70fc1e7a72943a91d25195983b366c339fe500
MD5 80dc48c81ce85249eeb37b34553ced51
BLAKE2b-256 04d8f11155179ce58304a994ad9a53e6c9daa6445df97429ec15f5a87a2624c9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page