Vim Python completion

Question

I'm having trouble with Vim and Python completion. In fact I'm totally confused how does this work.

I have generic gvim 7.3, on windows 7 (with python/dyn) I'm using SuperTab plugin, amongst many others, some of which are python-specific, with following settings in vimrc:

au FileType python set omnifunc=pythoncomplete#Complete let g:SuperTabDefaultCompletionType = "context" let g:SuperTabContextDefaultCompletionType = "<c-n>" 

I did not set PYTHONPATH enviroment varariable.

Completion works ok for system modules.

At first I thought that it isn't working at all for non-system code, but that's not the case. What is happening is best shown on following code:

import numpy.random   # if this line is commented completion in last line works  class C(object):     def __init__(self, x_):         self.x=x_      def getX(self):         return self.x      def pr(self):         print 'ok'  a=C(10)  # nothing changes if I put C() instead, even though it would be wrong a.  # here is completion in question 

Problem is that completion works (a.<tab> suggests getX and pr) if import line is commented. But it there is import numpy.random, completion brakes down. Note: this import works normally when I run the code.

What are prerequisites for Python completion? What's happening and what should I do to get completion working for Python.

As I am (relatively) new to Vim, any suggestion is appreciated.

EDIT: It seems that the problem is in using a.b form in import. If I do from numpy import random, everything is ok. If this is reasonably easy to fix I would like to get a.b from to work too. But now that I know how to go around it that's not so important.

Are there more unusual problem like this one so that I know what's happening in the future?

Answer 1

pythoncomplete is rather old and unmaintained.

Try to use Jedi: https://github.com/davidhalter/jedi-vim It was originally an improved pythoncomplete, but is now much much more powerful!

It works for complex code:

And has additional features:

There is a list of all possible features:

• builtin functions/classes support
• complex module / function / class structures
• ignores syntax and indentation errors
• multiple returns / yields
• tuple assignments / array indexing / dictionary indexing
• exceptions / with-statement
• *args / **kwargs
• decorators
• descriptors -> property / staticmethod / classmethod
• closures
• generators (yield statement) / iterators
• support for some magic methods: __call__, __iter__, __next__, __get__, __getitem__, __init__
• support for list.append, set.add, list.extend, etc.
• (nested) list comprehensions / ternary expressions
• relative imports
• getattr() / __getattr__ / __getattribute__
• function annotations (py3k feature, are ignored right now, but being parsed. I don't know what to do with them.)
• class decorators (py3k feature, are being ignored too, until I find a use case, that doesn't work with Jedi)
• simple/usual sys.path modifications
• isinstance checks for if/while/assert