clantic 0.2.0

Build testable CLI apps with `click` and `pydantic`

Clantic

Build testable CLI apps with click and pydantic

clantic makes it easy to define CLI parameters with pydantic BaseModels, combining the power of click with pydantic's data validation.

Features

• Define CLI parameters using pydantic models
• Type validation and conversion out of the box
• Support for arguments, options, flags and switches
• Easy to test CLI applications

Installation

pip install clantic

Simple Example

from pydantic import BaseModel

from clantic import BaseCommand, Group
from clantic.types import Argument, Option


class GreetParams(BaseModel):
    name: Argument[str]  # required argument
    color: Option[str] = ""  # Optional --color option with default value


class GreetCommand(BaseCommand[GreetParams]):
    NAME = "greet"

    def run(self) -> None:
        if self.params.color:
            print(f"Hello, {self.params.name}. You like the color {self.params.color}.")
        else:
            print(f"Hello, {self.params.name}.")


cli = Group()
cli.add_command_cls(GreetCommand)

if __name__ == "__main__":
    cli()

Parameter Types

Clantic provides several parameter types through the clantic.types module:

Argument

Required positional arguments:

class MyParams(BaseModel):
    filename: Argument[str]  # Required positional argument

Option

Optional named parameters with default values:

class MyParams(BaseModel):
    output: Option[str] = "output.txt"  # --output option with default
    count: Option[int] = 1  # --count option with default

Flag

Boolean flags that can be enabled:

class MyParams(BaseModel):
    verbose: Flag  # --verbose flag, defaults to False

Switch

Enum-based switches that create multiple mutually exclusive flags:

from enum import Enum


class LogLevel(str, Enum):
    DEBUG = "debug"
    INFO = "info"
    ERROR = "error"


class MyParams(BaseModel):
    log_level: Switch[LogLevel] = (
        LogLevel.INFO
    )  # Creates --debug, --info, --error flags

Advanced Usage

Command Configuration

Commands can be configured using the CONFIG class variable:

class MyCommand(BaseCommand[MyParams]):
    NAME = "mycommand"
    CONFIG = {
        "help": "My command help text",
        "short_help": "Short help",
        "epilog": "Additional help text at the bottom",
        "hidden": False,
        "deprecated": False,
    }

Option Customization

Options can be customized using OptionSettings:

from typing import Annotated
from clantic.types import OptionSettings


class MyParams(BaseModel):
    verbose: Annotated[
        int,
        OptionSettings(
            count=True,  # Allow multiple flags (-vvv)
            aliases=["-v"],  # Add short alias
            help="Sets the verbosity level",
        ),
    ] = 0

Command Groups

Group multiple commands together:

from clantic import Group

cli = Group()
cli.add_command_cls(CommandOne)
cli.add_command_cls(CommandTwo)

if __name__ == "__main__":
    cli()

Testing

Clantic makes it easy to test your CLI applications:

# Import the command we want to test
from my_cli.commands import MyCommand


# Test the command
def test_my_command():
    # You can mock, stub, or read the stdout/err
    # Run the command:
    MyCommand(param1="a", param2="b").run()

License

MIT