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Multiplexed user input via console, GUI, and web, depending on availability.

Project description

dworshak-prompt

A Python utility that ensures you can always get user input by falling back through multiple interfaces.

How it works

It captures input by cycling through modes based on environment availability:

  1. Console (CLI)
  2. GUI (Tkinter)
  3. Web (Local Browser Server)

Automatically skips incompatible modes (e.g., GUI on WSL) via pyhabitat.

Usage

from dworshak_prompt import DworshakPrompt, PromptMode

# Basic
val = DworshakPrompt().ask("Enter value")

# Options
val = DworshakPrompt().ask(
    message = "Secure Key",
    hide_input=True,
    priority = [PromptMode.CONSOLE, PromptMode.GUI]
    avoid = {PromptMode.WEB}

)

Another example, for handling CI:

from dworshak_prompt import DworshakPrompt, PromptMode

# If this runs in GitHub Actions, it returns "staging" immediately.
# If it runs on a laptop, it pops up a GUI or Console prompt.
val = DworshakPrompt().ask(
    message = "Target Environment",
    suggestion="production",  # What the human sees
    default="staging"         # What the CI/Headless system uses
)

Leveraging dworshak-prompt for calling and adding configured values.

from dworshak_prompt import DworshakConfig

# Custom path for a specific project
eds_config = DworshakConfig("~/.pipeline-eds/config.json")
api_key = eds_config.get("api_key", prompt_message="Enter EDS API Key")

The default config file path is "~/.dworshak/config.json".


Install as CLI (for demo purposes)

pipx install "dworshak-prompt[typer]"
dworshak-prompt --version
dworshak-prompt --help
dworshak-prompt ask --message "Please state name" --mode web

Add dworshak-prompt to Python project

When using uv for dependency management.

uv add dworshak-prompt --extra typer

Or, when using raw pip for dependency management.

pip install "dworshak-prompt[typer]"

Including the typer optional dependency group ensures that Typer and Rich are included as a dependencies. Without this, the CLI and console_prompt functionality are still stable, due to Python standard library fallbacks.


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