Skip to main content

CLI framework for building command-line interfaces from Python functions, classes, and class instances

Project description

Interfacy

Tests PyPI version Supported versions Downloads license

Interfacy is a CLI framework for building command-line interfaces from Python functions, classes, and class instances using type annotations and docstrings.

Features

  • Generate CLIs from functions, class methods, or class instances.
  • Nested subcommands and command groups with aliases.
  • Type inference from annotations, with support for custom parsers.
  • --help text generated from docstrings.
  • Run a target callable directly from the CLI (e.g. interfacy path.py:main).
  • Multiple help layouts and color themes.
  • Optional class initializer arguments exposed as CLI options.
  • Argparse-compatible backend, including a drop-in ArgumentParser replacement.
  • Stdin piping support with configurable routing to parameters.
  • Optional tab completion via argcomplete.

Installation

From PyPI

pip install interfacy
uv add interfacy

From source

pip install git+https://github.com/zigai/interfacy.git
uv add "git+https://github.com/zigai/interfacy.git"

Quick start

from interfacy import Argparser

def greet(name: str, times: int = 1) -> None:
    for _ in range(times):
        print(f"Hello, {name}!")

if __name__ == "__main__":
    Argparser().run(greet)

Classes as flags

from dataclasses import dataclass
from interfacy import Argparser

@dataclass
class Address:
    """Mailing address data for a user.

    Args:
        city: City name.
        zip: Postal or ZIP code.
    """
    city: str
    zip: int

@dataclass
class User:
    """User profile information for the CLI.

    Args:
        name: Display name.
        age: Age in years.
        address: Optional mailing address details.
    """
    name: str
    age: int
    address: Address | None = None

def greet(user: User) -> str:
    if user.address is None:
        return f"Hello {user.name}, age {user.age}"
    return f"Hello {user.name}, age {user.age} from {user.address.city} {user.address.zip}"

if __name__ == "__main__":
    Argparser(print_result=True).run(greet)

Help output:

usage: app.py greet [--help] --user.name USER.NAME --user.age USER.AGE
                    [--user.address.city] [--user.address.zip]

options:
  --help                      show this help message and exit
  --user.name                 Display name. [type: str] (*)
  --user.age                  Age in years. [type: int] (*)
  --user.address.city         City name. [type: str]
  --user.address.zip          Postal or ZIP code. [type: int]

Class-based commands

from interfacy import Argparser

class Calculator:
    def add(self, a: int, b: int) -> int:
        return a + b

    def mul(self, a: int, b: int) -> int:
        return a * b

if __name__ == "__main__":
    Argparser(print_result=True).run(Calculator)

Decorator-based commands

from interfacy import Argparser

parser = Argparser()

@parser.command()
def greet(name: str) -> str:
    return f"Hello, {name}!"

@parser.command(name="calc", aliases=["c"])
class Calculator:
    def add(self, a: int, b: int) -> int:
        return a + b

    def mul(self, a: int, b: int) -> int:
        return a * b

if __name__ == "__main__":
    parser.run()

CLI entrypoint

Use the CLI entrypoint to run a target callable from a module or file, or to inspect its help:

usage: interfacy [--help] [--version] [--config-paths] [TARGET] ...

Interfacy is a CLI framework for building command-line interfaces from Python callables.

positional arguments:
  TARGET                      Python file or module with a symbol (e.g. main.py:main or pkg.cli:app).
  ARGS                        Arguments passed through to the target command.

options:
  --help                      show this help message and exit
  --version                   show version and exit.
  --config-paths              print config file search paths and exit.

Use 'interfacy TARGET --help' to display the help text for the target.

License

MIT License

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

interfacy-0.4.3.tar.gz (158.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

interfacy-0.4.3-py3-none-any.whl (103.1 kB view details)

Uploaded Python 3

File details

Details for the file interfacy-0.4.3.tar.gz.

File metadata

  • Download URL: interfacy-0.4.3.tar.gz
  • Upload date:
  • Size: 158.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for interfacy-0.4.3.tar.gz
Algorithm Hash digest
SHA256 24d0db8e87bf8f6ab83e19bd379d9fecbb2c11f28e9ff504463ddc81d6e0c95b
MD5 50d9a0cbfd0fadd82879b2d296600677
BLAKE2b-256 4b28623857f0fdbdc90dee2cac4a14a82321196ae4b5d82cf0be2b9864572266

See more details on using hashes here.

File details

Details for the file interfacy-0.4.3-py3-none-any.whl.

File metadata

  • Download URL: interfacy-0.4.3-py3-none-any.whl
  • Upload date:
  • Size: 103.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for interfacy-0.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4b2af2adf570ddcfb6a3c34ba08aa333af39282618f70be863b96d0f9dbfaa51
MD5 7fff4dd1b402495f0b6f7dab0d7cff93
BLAKE2b-256 82177d39a2b0a522a53dc9aaee3609045e519cffa849cac44a4bfe8365c8f6b9

See more details on using hashes here.

Supported by

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