taskr-cli 0.4.0

A language agnostic make-like tool meant for python projects

Taskr

A simple task runner meant for python projects. I mostly use bash scripts, but those aren't always cross platform. Semi-inspired by (Mage)[https://github.com/magefile/mage], a task runner for go.

This is also an excuse to have a project that involves packaging so I can learn more about it and mess around, and end up writing more boilerplate/tooling than actual code :)

This project uses itself, so it should always work.. in theory.

Developing

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

python -m pipenv shell
pipenv install --dev

Installing

pip install taskr_cli

Check the version

taskr --version

Using

Ensure you have a tasks.py file defined in the root of your repo. To generate a template, run taskr --init. From there you can modify and add tasks.

CLI:

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

A small utility to run tasks

optional arguments:
  -h, --help     show this help message and exit
  -v, --version  Show the version number
  -l, --list     Show defined tasks
  -i, --init     Generate a template task file
  -e, --env      List environment variables set before a task is run

When listing tasks, taskr will attempt to grab the docblock and show it, or use a single # comment above the task function. These are the ones that exist for it's own project

[master●] » taskr -l

Tasks:
 all         : Runs all static analysis tools
 build       : Builds the wheel
 clean       : Remove build artifacts, cache, etc.
 flake       : Check flake8
 fmt         : Run black
 mypy        : Checks types
 *reinstall  : Re-installs taskr
 sort        : Sort imports
 test        : Run tests
 upload_prod : Send it for real!
 upload_test : Send it!

* = default

To run a task, just pass the name. Output from a task will be displayed

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

You can also define "internal" functions that taskr will ignore when listing by pre-pending the name with an underscore.

import taskr

# Tasker will not list this
def _get_system():
  return os.environ.get("build_system")

def build():
  env = _get_system()
  taskr.run_env("python setup.py install", env={"BUILD_SYSTEM": build_ststem})

Config

There are a few configuration setting, set in tasks.py itself.

Placing 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 tasks are run when taskr is run without any arguments. You can set this by setting a variable DEFAULT = "some_func" to the name of a task in tasks.py.

DEFAULT = "test"

# Run tests
def test
  taskr.run("python -m pytest tests/")

Task runners

A few utility methods are provided for system running tasks. Taskr expects task functions to return either True (The task was successful) for False it failed. To determine if a task 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

run

run's argument can be either a list, or a string.

import taskr

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

# Runs flake8
def flake() -> bool:
    return taskr.run("python -m flake8 taskr/*.py")

run_env

run_env is the exact same as run, but takes in a dictionary of environment variables to use when running the task.

import taskr

# Runs a production build
def build():
  vars = {
    "PRODUCTION": "true"
  }
  return taskr.run_env("python setup.py install", vars)

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

import taskr
import some_package as sp

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

# Check flake8
def flake():
    return taskr.run(["python", "-m", "flake8", "taskr/*.py"])

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

run_output

run_output' will run a command and return the output

import taskr

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

You can an environment dict to this function, the same way as run_env

Utilities

There are a few utility functions included

# Removes dist/build folders
cleanBuilds()

# Remove compiled filed and folders
cleanCompiles()

# In a venv or not
inVenv() -> bool:

# Reads an ENV file into a dict. See example in tests/data
readEnvFile(filename: str) -> dict: