Skip to main content

Main command entry point infrastructure for MoaT applications

Project description

moat-lib-run

% start main % start synopsis

Main command entry point infrastructure for MoaT applications.

% end synopsis

This module provides the infrastructure for building command-line interfaces for MoaT applications. It includes:

  • Command-line argument parsing with Click integration
  • Subcommand loading from internal modules and extensions
  • Configuration file handling
  • Logging setup
  • Main entry point wrappers for testing

Usage

Basic command setup

from moat.lib.run import main_, wrap_main

@main_.command()
async def my_command(ctx):
    """A simple command"""
    print("Hello from my command!")

Loading subcommands

Use load_subgroup to create command groups that automatically load subcommands:

from moat.lib.run import load_subgroup
import asyncclick as click

@load_subgroup(prefix="myapp.commands")
@click.pass_context
async def cli(ctx):
    """Main command group"""
    pass

Processing command-line arguments

The attr_args decorator and process_args function provide flexible argument handling:

from moat.lib.run import attr_args, process_args

@main_.command()
@attr_args(with_path=True)
async def configure(**kw):
    """Configure the application"""
    config = process_args({}, **kw)
    # config now contains parsed arguments

Key Functions

  • main_: The default main command handler
  • wrap_main: Wrapper for the main command, useful for testing
  • load_subgroup: Decorator to create command groups with automatic subcommand loading
  • attr_args: Decorator for adding flexible argument handling to commands
  • process_args: Function to process command-line arguments into configuration
  • Loader: Click group class that loads commands from submodules and extensions

% end main

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

moat_lib_run-0.1.2.tar.gz (12.7 kB view details)

Uploaded Source

Built Distribution

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

moat_lib_run-0.1.2-py3-none-any.whl (10.7 kB view details)

Uploaded Python 3

File details

Details for the file moat_lib_run-0.1.2.tar.gz.

File metadata

  • Download URL: moat_lib_run-0.1.2.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for moat_lib_run-0.1.2.tar.gz
Algorithm Hash digest
SHA256 4ad363a7f34f27ddd6b5e7d64e8ae0b18be81cb6d9c7321aeeff91e5b3dcf8ca
MD5 40a026607cfb505a1f7d6e562fb6a4b7
BLAKE2b-256 82dea1bd71c2b950f90d5c205a4ebdfa163473fc899c5fe1139b96208c93e430

See more details on using hashes here.

File details

Details for the file moat_lib_run-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: moat_lib_run-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 10.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for moat_lib_run-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a54774c95038e07399a22514aea4734f18556c50ed378c13c32a3a19cc5bf334
MD5 4752a774841a355547d847e683b8ea9a
BLAKE2b-256 5cded4274e7d977e71545aad55645277693268901dd4318c7a477804f6e972dd

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