clypi 0.1.0

Your all-in-one for beautiful, prod-ready CLIs

🦄 Term

Type-safe Python CLI prompts with validations, retries, custom messages, etc.

Examples

Check out the examples in ./examples! You can run them locally with:

uv run --all-extras -m examples.cli
uv run --all-extras -m examples.colors
uv run --all-extras -m examples.spinner
uv run --all-extras -m examples.prompts

CLI

# examples/basic_cli.py
from term import Command

class Lint(Command):
    files: tuple[str, ...]

    async def run(self):
        print(f"Linting {', '.join(self.files)}")

class MyCli(Command):
    subcommand: Lint | None = None
    verbose: bool = False

    async def run(self):
        print(f"Running the main command with {self.verbose}")

if __name__ == "__main__":
    cli: MyCli = MyCli.parse()
    cli.start()

uv run -m examples.basic_cli -h (Main help page)

uv run -m examples.basic_cli lint (Subcommand help page)

uv run -m examples.basic_cli (Normal run)

uv run -m examples.basic_cli lint (Missing args error)

uv run -m examples.basic_cli lin (Typo)

❓ Prompting

First, you'll need to import the term module:

import term

answer = term.prompt("Are you going to use Term?", default=True, parser=bool)

🌈 Colors

# demo.py
import term

# Style text
print(term.style("This is blue", fg="blue"), "and", term.style("this is red", fg="red"))

# Print with colors directly
term.print("Some colorful text", fg="green", reverse=True, bold=True, italic=True)

# Store a styler and reuse it
wrong = term.styler(fg="red", strikethrough=True)
print("The old version said", wrong("Pluto was a planet"))
print("The old version said", wrong("the Earth was flat"))

uv run demo.py

uv run -m term.colors

🌀 Spinners

# demo.py
import asyncio
from term import Spinner

async def main():
    async with Spinner("Downloading assets") as s:
        for i in range(1, 6):
            await asyncio.sleep(0.5)
            s.title = f"Downloading assets [{i}/5]"

asyncio.run(main())

uv run demo.py

uv run -m term.spinner

🐍 Type-checking

This library is fully type-checked. This means that all types will be correctly inferred from the arguments you pass in.

In this example your editor will correctly infer the type:

hours = term.prompt(
    "How many hours are there in a year?",
    parser=lambda x: float(x) if x < 24 else timedelta(days=x),
)
reveal_type(hours)  # Type of "res" is "float | timedelta"

Why do I care?

Type checking will help you catch issues way earlier in the development cycle. It will also provide nice autocomplete features in your editor that will make you faster 󱐋.

Integrations

Parsers (v6e, pydantic, etc.)

Term can be integrated with many parsers. The default recommended parser is v6e, which is automatically used if installed in your local environment to parse types more accurately. If you wish you specify any parser (from v6e or elsewhere) manually, you can do so quite easily:

CLI

import v6e
from term import Command, config

class MyCli(Command):
    files: list[Path] = config(parser=v6e.path().exists().list())

    async def run(self):
        files = [f.as_posix() for f in self.files]
        print(f"Linting {', '.join(files)}")

if __name__ == "__main__":
    cli: MyCli = MyCli.parse()
    cli.start()

Prompting

import v6e

hours = term.prompt(
    "How many hours are there in a year?",
    parser=v6e.float().lte(24).union(v6e.timedelta()),
)
reveal_type(hours)  # Type of "res" is "float | timedelta"