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

• invoke-toolkit
  • Table of Contents
  • Features
  • Do I need this package
  • Installation
  • Development
  • License

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.py in 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 invoke for a while and...
• Have a large tasks.py that needs to be modularized
• Have a lot of copy/pasted code in multiple tasks.py across 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 (-d flag) shows cache hits/misses
• Graceful degradation when diskcache is not installed

To enable caching, install with the cache extra:

pip install invoke-toolkit[cache]

Dynamic task defaults

Use Field when an argument default must be computed from the final task context or resolved from a URI. Explicit command-line values always take precedence.

Bind a resolver once, then reuse the resulting callable for scalar and file defaults. A local resolver always returns one string value per request. The resolver receives every URI using that callback and scheme in one batch.

from invoke_toolkit import Context, Field, FilePath, task


def resolve_bw(ctx: Context, requests: list) -> dict[str, str]:
    return {
        request.parameter: ctx.run("bw get password ...", hide=True).stdout.strip()
        for request in requests
    }


BitwardenField = Field(resolver=resolve_bw)
ExistingFile = FilePath(exists=True, dir_okay=False)


@task
def deploy(
    ctx: Context,
    password: str = BitwardenField(default="bw://PASSWORD_ID"),
    config: ExistingFile = BitwardenField(
        default="bw://CONFIG_ID", cleanup="task"
    ),
) -> None:
    ...

For str fields, the resolver string reaches the task unchanged. For Path or FilePath fields, Field.create_temporary_file() writes that string to a managed temporary file and passes its Path to the task. Override that method in a Field subclass to control file creation; resolvers do not return paths.

For omitted arguments, lookup precedence is explicit CLI/Python/call value, then INVOKE_<PARAMETER> environment value, then the resolved ctx.config value, then the declared Field default or factory. URI values from config use the same local or entry-point resolver dispatch as declared URI defaults.

Field(default_factory=callback) runs only if no higher-precedence value is available. Factories and resolvers never run during help, listing, or shell completion; Path/FilePath completion continues to work normally for explicit values.

Temporary Path files from resolver-bound Field instances are owned by invoke-toolkit. cleanup="pipeline" is the default and keeps the file through expanded pre/main/post execution; cleanup="task" removes it when that task returns. Cleanup runs after failures and cancellation.

Installed invoke_toolkit.field_resolver entry points remain supported for compatibility but issue a warning recommending a task-local resolver. Generate a resolver-only provider package with:

intk -x create.package --provider op

Provider packages expose no task collection. Providers return text only; for Path fields invoke-toolkit materializes and cleans the resulting temporary file according to that Field's cleanup lifetime.

uv tool plugins

Plugin management requires a persistent uv tool install invoke-toolkit environment. Plugins are distributions that expose an invoke_toolkit.collection entry point; their package names do not need an invoke-toolkit- prefix.

intk -x plugin.list
intk -x plugin.add 'invoke-toolkit-example>=1'
intk -x plugin.add git+https://github.com/example/invoke-toolkit-example.git
intk -x plugin.add ./invoke-toolkit-example
intk -x plugin.link ./invoke-toolkit-example
intk -x plugin.update --name invoke-toolkit-example
intk -x plugin.update
intk -x plugin.remove invoke-toolkit-example

plugin.add uses uv's --with mode. A local directory is built as a static installation. plugin.link uses --with-editable, so source changes are live. A named update refreshes one non-editable plugin; an update without a name refreshes all non-editable plugins and reports linked plugins as skipped. Registry constraints and pinned Git references remain in effect. Plugin updates do not update invoke-toolkit itself. Shell completion suggests directly installed plugin names for plugin.remove and named plugin.update operations.

These commands reject uvx, uv run, project environments, and installations managed by another tool. pipx offers a similar manual workflow:

pipx inject invoke-toolkit PLUGIN
pipx inject invoke-toolkit --editable ./PLUGIN
pipx uninject invoke-toolkit PLUGIN
pipx list --include-injected

pipx accepts registry, local, and Git sources supported by pip. invoke-toolkit does not detect or execute pipx lifecycle operations.

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.