taskr-cli 1.2.6

A language agnostic make-like tool meant for python projects

Taskr

A magical, zero dependency, easy to use task runner with an original name. Inspired by Mage, a make-like tool for go. Made for python projects, but usable for any.

All that's needed is a tasks.py file.

A few highlights:

• Basically make(1) without a build system
• Zero dependencies
• Auto load environment variable files
• Easily pass arguments to tasks from the command line
• Auto generated cli documentation
• Usable in any subdirectory of your project
• Built in functions to easily run system commands inside virtual environments
• Built in helper functions for python development

Installing

pip install taskr-cli

Check the version

taskr --version

Generate a default tasks file

taskr --init

Using

Make sure you have a tasks.py file defined in the root of your repo. taskr can be used from any sub directory if PYENV_DIR or 'TASKR_DIR' is set to the projects root. There is a utility function "injectPath()" that can do this for you, included in the template. See other utility functions at the bottom of the readme.

CLI:

[master●] » taskr -h
usage: taskr [-h] [-d] [-i] [-l] [-p] [-v]

A cli utility to run generic tasks

options:
  -h, --help     show this help message and exit
  -i, --init     generate a template task file
  -l, --list     show defined tasks
  -v, --version  show the version number

When listing tasks, taskr will attempt to grab either the docblock or a single # comment above the function name and show it for cli documentation. Taskr will prefer the single # comment over the docblock to display if both exist.

Also note, any functions in tasks.py that start with an underscore are ignored when listing. Bellow's an example print out of taskr with a valid task.py file.

[master●] » taskr -l

Tasks:
 build       : Builds a wheel file
 check       : Run all static analysis tools
 clean       : Remove build artifacts, cache, etc.
 fmt         : Run black
 mypy        : Check types
 *reinstall  : Re-installs taskr
 ruff        : Run ruff
 sort        : Sort imports
 test        : Run tests
 upload      : Upload project to PYPI

* = default

To run a task, just pass the name of a function after taskr. Output from a task will be displayed

[master●] » taskr format
All done! ✨ 🍰 ✨
11 files left unchanged.

Configuration Variables

There are a few configuration setting, set in tasks.py itself. They are all uppercase and generally should be at the top of the file

VENV_REQUIRED = True in your tasks.py file, taskr will only run if it detects it's running in a virtual environment. You can delete it otherwise

DEFAULT = "some_func" marks the task as default. Default tasks are run when taskr is run without any arguments

ENV = path/to/file.env will load that environment file before every task

from taskr import runners

DEFAULT = "test"
VENV_REQUIRED = True
ENVS = "dev.env"

# Run tests, and passed dev.env vars when running 'taskr' in the cli
def test
  runners.run("python -m pytest tests/")

Helpful functions for running tasks

A few task running methods are provided for system running tasks. Taskr expects task functions to return either True (The task was successful) for Falseit failed. To determine if a subprocess/system call was successful or not, taskr looks at the return code of the called program. 0 is success, anything else fails.

Taskr will auto copy your existing environment variables when running tasks, so running tasks with programs installed in a virual environment (i.e. dev tools though pip) will work.

You can also run any code you want as well under a task, these are just helpful wrappers around subprocess that work nicely with taskr.

run

run's argument can be either a list, or a string. A list is parsed into one command, not multiple

Optionally pass a an environment dictionary to be used at runtime.

from taskr import runners

# Run flake8
def flake_list() -> bool:
    return runners.run(["python", "-m", "flake8", "taskr/*.py"])

# Run tests
def flake() -> bool:
    return runners.run("python -m pytest tests/ -v")

# Build a wheel
def build():
  ENV = {
    "PRODUCTION": "true"
  }
  return runners.run("python setup.py install", ENV)

run_conditional

run_conditional is a way to run tasks (functions) in order, as long as the previous task returns a non failure return code (False). You can throw normal python functions in here to. As of the current release, you cannot pass arguments to functions passed to run_conditional.

from taskr import runners
import some_package as sp

# Run black
def fmt():
    return runners.run("python -m black .")

# Check flake8
def ruff():
    return runners.run("python -m ruff")

# Run all static tools
def all():
    return runners.run_conditional(flake, fmt, sp.function)

run_output

run_output' will run a command and return the output

from taskr import runners

# Get the number of env variables
def get_count():
    ret = runners.run_output("env | wc -l")
    print(ret.status) # True
    print(ret.stdout) # "90"
    print(ret.sterr)  # ""

You can an environment dict to this function.

Passing arguments to functions

You can also pass arbitrary arguments to any defined function. For example, passing the environment to starting a server. This requires the function to have a default argument set.

def start(env: str = "Dev"):
  ENVS = {
    "ENV": env
    "WATCH": "true"
  }
  return taskr.run("python start.py", ENVS)

And from the command line

taskr start dev
# Or
taskr start
# Or
taskr start prod

You can also use key word arguments so pass only selected arguments. This requires all previous arguments to have a default value.

def start(env: str = "dev", timeout: int = 180):
  ENVS = {
    "ENV": env
    "WATCH": "true"
    "TIMEOUT": timeout
  }
  return taskr.run("python start.py", ENVS)

Only passing timeout in this example, and keeping env to be the default dev

taskr start timeout=60

Utilities

There are a few utility functions included, mostly for python package development. These are not the main focus of the package and more will probably not be added, rather spun out into a different package

from taskr import utils

# Removes dist/build folders
utils.cleanBuilds()

# Remove compiled files and folders (.pyc, __pycache__)
utils.cleanCompiles()

# In a venv or not
utils.inVenv()

# In a container (docker, podman) or not
utils.inContainer()

# Transforms an ENV file into a dict
utils.readEnvFile(filename = None)

# Bumps setup.py's version number by 0.0.1, or replaces it with argument
utils.bumpVersion(version = None, variable = "version", filename = "setup.py"):

# Adds `export TASKR_DIR=CWD' to your VENV activation, so
# you can use taskr from any location in the VENV (e.g. sub directories)
# Probably don't use this
utils.addTaskrToEnv()

Developing

This project uses pipenv. Make sure it's installed. Then call

python -m pipenv shell
pipenv install --dev
taskr check
taskr test

There are numerous tests in taskr/tests which cover most functionality that's testable, as well as examples