Why is using 'eval' a bad practice?

Question

Yes, using eval is a bad practice. Just to name a few reasons:

1. There is almost always a better way to do it
2. Very dangerous and insecure
3. Makes debugging difficult
4. Slow

In your case you can use setattr instead:

class Song:
    """The class to store the details of each song"""
    attsToStore=('Name', 'Artist', 'Album', 'Genre', 'Location')
    def __init__(self):
        for att in self.attsToStore:
            setattr(self, att.lower(), None)
    def setDetail(self, key, val):
        if key in self.attsToStore:
            setattr(self, key.lower(), val)

There are some cases where you have to use eval or exec. But they are rare. Using eval in your case is a bad practice for sure. I'm emphasizing on bad practice because eval and exec are frequently used in the wrong place.

Replying to the comments:

It looks like some disagree that eval is 'very dangerous and insecure' in the OP case. That might be true for this specific case but not in general. The question was general and the reasons I listed are true for the general case as well.

Using eval is weak, not a clearly bad practice.

1. It violates the "Fundamental Principle of Software". Your source is not the sum total of what's executable. In addition to your source, there are the arguments to eval, which must be clearly understood. For this reason, it's the tool of last resort.

2. It's usually a sign of thoughtless design. There's rarely a good reason for dynamic source code, built on-the-fly. Almost anything can be done with delegation and other OO design techniques.

3. It leads to relatively slow on-the-fly compilation of small pieces of code. An overhead which can be avoided by using better design patterns.

As a footnote, in the hands of deranged sociopaths, it may not work out well. However, when confronted with deranged sociopathic users or administrators, it's best to not give them interpreted Python in the first place. In the hands of the truly evil, Python can a liability; eval doesn't increase the risk at all.

In this case, yes. Instead of

exec 'self.Foo=val'

you should use the builtin function setattr:

setattr(self, 'Foo', val)

Yes, it is:

Hack using Python:

>>> eval(input())
"__import__('os').listdir('.')"
...........
...........   #dir listing
...........

The below code will list all tasks running on a Windows machine.

>>> eval(input())
"__import__('subprocess').Popen(['tasklist'],stdout=__import__('subprocess').PIPE).communicate()[0]"

In Linux:

>>> eval(input())
"__import__('subprocess').Popen(['ps', 'aux'],stdout=__import__('subprocess').PIPE).communicate()[0]"

It's worth noting that for the specific problem in question, there are several alternatives to using eval:

The simplest, as noted, is using setattr:

def __init__(self):
    for name in attsToStore:
        setattr(self, name, None)

A less obvious approach is updating the object's __dict__ object directly. If all you want to do is initialize the attributes to None, then this is less straightforward than the above. But consider this:

def __init__(self, **kwargs):
    for name in self.attsToStore:
       self.__dict__[name] = kwargs.get(name, None)

This allows you to pass keyword arguments to the constructor, e.g.:

s = Song(name='History', artist='The Verve')

It also allows you to make your use of locals() more explicit, e.g.:

s = Song(**locals())

...and, if you really want to assign None to the attributes whose names are found in locals():

s = Song(**dict([(k, None) for k in locals().keys()]))

Another approach to providing an object with default values for a list of attributes is to define the class's __getattr__ method:

def __getattr__(self, name):
    if name in self.attsToStore:
        return None
    raise NameError, name

This method gets called when the named attribute isn't found in the normal way. This approach somewhat less straightforward than simply setting the attributes in the constructor or updating the __dict__, but it has the merit of not actually creating the attribute unless it exists, which can pretty substantially reduce the class's memory usage.

The point of all this: There are lots of reasons, in general, to avoid eval - the security problem of executing code that you don't control, the practical problem of code you can't debug, etc. But an even more important reason is that generally, you don't need to use it. Python exposes so much of its internal mechanisms to the programmer that you rarely really need to write code that writes code.