neuroradiology / stack

The Python Tool stack

Python Tool Stack

stack is a Python version of stack (http://docs.haskellstack.org/en/stable/README/), which is a cross-platform program for developing Python projects. It is aimed at Pythonistas both new and experienced.

Go Star Stack on GitHub (http://github.com/ryankung/stack)

It features:

• Install Python in current environment automatically, in an isolated location
• Installing packages needed for your project.
• Run your project
• Check test coverage of your project
• Code quality control
• End to End git based release

Include:

• stack / pystack
• scaffold -- A Python template generator
• require -- An async remote module loader

Dependence:

• Python3.5 or above (may require libffi-devel on centos, or libffi-dev for debian)
• git-daemon (https://git-scm.com/book/en/Git-on-the-Server-Git-Daemon)

Quick Start:

• Installation:

  pip3 install python-stack
  
  or run
  
  curl "https://raw.githubusercontent.com/RyanKung/stack/master/install.sh" | sh
  

• Create a new project via template:

  stack new <project name> -t <template path>
  

• Init and Setup on an existed project:

  stack init --python=<spec version>
  stack setup
  

• Test and report test coverage:

  stack coverage
  

• Run executable file in Env:

  stack python
  stack pip
  stack test
  stack repl
  

• Run a remote file:

  stack run --run <some *.py remote>
  

• Extensible:

  Stack supports extending the environment with a stackfile like this:
  
  
  from stack.decorators import as_command
  
  @as_command
  def do(args):
      '''
      sth
      @argument --sth, help=dowhat
      '''
      print('do %s' % args.sth)
  

• Document generator:

  stack doc
  

• P2P git baseed deployment:

  on remote production server:

  stack serve
  

  on local dev environment:

  git add remote production git://<your remote ip>:30976/.git
  git checkout release/<your release branch>
  git push production HEAD