Xpath like query for nested python dictionaries

Question

Is there a way to define a XPath type query for nested python dictionaries.

Something like this:

foo = {
  'spam':'eggs',
  'morefoo': {
               'bar':'soap',
               'morebar': {'bacon' : 'foobar'}
              }
   }

print( foo.select("/morefoo/morebar") )

>> {'bacon' : 'foobar'}

I also needed to select nested lists ;)

This can be done easily with @jellybean's solution:

def xpath_get(mydict, path):
    elem = mydict
    try:
        for x in path.strip("/").split("/"):
            try:
                x = int(x)
                elem = elem[x]
            except ValueError:
                elem = elem.get(x)
    except:
        pass

    return elem

foo = {
  'spam':'eggs',
  'morefoo': [{
               'bar':'soap',
               'morebar': {
                           'bacon' : {
                                       'bla':'balbla'
                                     }
                           }
              },
              'bla'
              ]
   }

print xpath_get(foo, "/morefoo/0/morebar/bacon")

[EDIT 2016] This question and the accepted answer are ancient. The newer answers may do the job better than the original answer. However I did not test them so I won't change the accepted answer.

Answer 1

One of the best libraries I've been able to identify, which, in addition, is very actively developed, is an extracted project from boto: JMESPath. It has a very powerful syntax of doing things that would normally take pages of code to express.

Here are some examples:

search('foo | bar', {"foo": {"bar": "baz"}}) -> "baz"
search('foo[*].bar | [0]', {
    "foo": [{"bar": ["first1", "second1"]},
            {"bar": ["first2", "second2"]}]}) -> ["first1", "second1"]
search('foo | [0]', {"foo": [0, 1, 2]}) -> [0]