This release is a pre-release and may not be stable for production use.
invoke-toolkit
A set of extensions for rich output, more options in collection/config discovery through entry-points.
This extends the Collection from Invoke so it can create automatically collections.
Table of Contents
Features
- Task discovery by namespace for extendable/composable CLIs
- Discovery to plain old tasks.py (or any other name)
- Local tasks discovery from
local_tasks.pyin the current directory - Integration with stand alone binaries for specific tasks
- Task result caching with TTL support via
diskcache(optional) - Future Download binaries
Do I need this package
If you have...
- Used
invokefor a while and... - Have a large
tasks.pythat needs to be modularized - Have a lot of copy/pasted code in multiple
tasks.pyacross multiple repos. - Have exceeded the approach of a repository cloned as
~/tasks/with more .py files that you want to manage. - Or you want to combine various tasks defined in multiple directories
- You want to create a zipped (shiv) redistribute script for container environments like Kubernetes based CI environments with only requiring the Python interpreter.
Installation
pip install invoke-toolkit
Quick Start
Using Local Tasks
Create a local_tasks.py file in your project directory with your tasks:
from invoke_toolkit import task
@task()
def my_task(ctx):
"""Do something useful"""
print("Hello from local tasks!")
Then run it with:
intk local.my-task
Local tasks are automatically discovered and added to the local namespace, allowing you to keep project-specific tasks separate from your main task collection.
Using Task Caching
Cache expensive task results with the cache parameter:
from invoke_toolkit import task
# Simple caching (no expiration)
@task(cache=True)
def expensive_task(ctx, param: str) -> str:
"""Results are cached across invocations."""
return do_expensive_computation(param)
# Caching with TTL (1 hour)
@task(cache={"ttl": 3600})
def cached_task(ctx, name: str) -> dict:
"""Results cached for 1 hour."""
return fetch_data(name)
# Caching with ignored arguments
@task(cache={"ttl": 600, "ignore_args": ["verbose"]})
def cached_with_options(ctx, query: str, verbose: bool = False) -> list:
"""Cache key ignores verbose flag."""
return search(query, verbose=verbose)
Cache features:
- Cache location is computed from git repository root + platformdirs
- Debug logging (
-dflag) shows cache hits/misses - Graceful degradation when
diskcacheis not installed
To enable caching, install with the cache extra:
pip install invoke-toolkit[cache]
Development
This project utilizes the pre-commit framework, make sure you run:
pre-commit install
With uvx:
uvx --with pre-commit-uv pre-commit install
License
invoke-toolkit is distributed under the terms of the MIT license.
1 maintainer
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