On Monday, May 20, 2013 2:05:48 AM UTC-5, Frank Millman wrote:
> Hi all
>
>
>
> I am trying to emulate a SQL check constraint in Python. Quoting from
>
> the PostgreSQL docs, "A check constraint is the most generic constraint
>
> type. It allows you to specify that the value in a certain column must
>
> satisfy a Boolean (truth-value) expression."
>
>
>
> The problem is that I want to store the constraint as a string, and I
>
> was hoping to use ast.literal_eval to evaluate it, but it does not work.
>
>
>
>  >>> x = 'abc'
>
>  >>> x in ('abc', xyz')
>
> True
>
>  >>> b = "x in ('abc', 'xyz')"
>
>  >>> eval(b)
>
> True
>
>  >>> from ast import literal_eval
>
>  >>> literal_eval(b)
>
> ValueError: malformed node or string: <_ast.Compare object at ...>
>
>
>
> Is there a safe way to do what I want? I am using python 3.3.
>
>
>
> Thanks
>
>
>
> Frank Millman

You might find the asteval module (https://pypi.python.org/pypi/asteval) 
useful.   It provides a relatively safe "eval", for example:

    >>> import asteval
    >>> a = asteval.Interpreter()
    >>> a.eval('x = "abc"')
    >>> a.eval('x in ("abc", "xyz")')
    True
    >>> a.eval('import os')
    NotImplementedError
       import os
    'Import' not supported
    >>> a.eval('__import__("os")')
    NameError
       __import__("os")
    name '__import__' is not defined

This works by maintaining an internal namespace (a flat dictionary), and 
walking the AST generated for the expression.  It supports most Python syntax, 
including if, for, while, and try/except blocks, and function definitions, and 
with the notable exceptions of eval, exec, class, lambda, yield, and import.   
This requires Python2.6 and higher, and does work with Python3.3.

Of course, it is not guaranteed to be completely safe, but it does disallow 
imports, which seems like the biggest vulnerability concern listed here.  
Currently, there is no explicit protection against long-running calculations 
for denial of service attacks.  If you're exposing an SQL database to 
user-generated code, that may be worth considering.

Cheers,

--Matt Newville
-- 
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