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Plucking (deep) keys/paths/items safely from Python objects has never been easier.

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plucky: concise deep obj.get()

https://api.travis-ci.org/randomir/plucky.svg?branch=master

plucky.pluckable happily wraps any Python object and allows for chained soft plucking with attribute- and item- getters (e.g. .attr, ["key"], [idx], [::2], or a combination: ["key1", "key2"], and [0, 3:7, ::-1]; even: ["length", 0:5, 7]).

plucky.pluck will allow you to pluck same as with pluckable (regarding the plucking operations), but accepting a string selector instead of a Python expression.

plucky.plucks enables you to safely extract several-levels deep values by using a concise string selector comprised of dictionary-like keys and list-like indices/slices. Stands for pluck simplified, since it supports only a subset of pluck syntax. It's simpler and a more efficient.

plucky.merge facilitates recursive merging of two data structures, reducing leaf values with the provided binary operator.

Installation

plucky is available as a zero-dependency Python package. Install with:

$ pip install plucky

Usage

from plucky import pluck, plucks, pluckable, merge

pluckable(obj).users[2:5, 10:15].name["first", "middle"].value

pluck(obj, 'users[2:5, 10:15].name["first", "middle"]')

plucks(obj, 'users.2:5.name.first')

merge({"x": 1, "y": 0}, {"x": 2})

Examples

obj = {
    'users': [{
        'uid': 1234,
        'name': {
            'first': 'John',
            'last': 'Smith',
        }
    }, {
        'uid': 2345,
        'name': {
            'last': 'Bono'
        }
    }, {
        'uid': 3456
    }]
}

plucks(obj, 'users.1.name')
# -> {'last': 'Bono'}

plucks(obj, 'users.name.last')
# -> ['Smith', 'Bono']

plucks(obj, 'users.*.name.first')
# -> ['John']

pluckable(obj).users.name.first.value
# -> ['John']

pluckable(obj).users.uid[0, 2, 1].value
# -> [1234, 3456, 2345]

pluckable([datetime.datetime.now(), None, {'month': 8}])[::2].month
# -> [5, 8]

pluckable(obj, skipmissing=False, default='Unnamed').users.name.first.value
# -> ['John', 'Unnamed', 'Unnamed']

More Examples! :)

pluckable(obj).users[:, ::-1].name.last.value
# -> ['Smith', 'Bono', 'Bono', 'Smith']

pluckable(obj).users[:, ::-1].name.last[0, -1].value
# -> ['Smith', 'Smith']

pluck(obj, 'users[:, ::-1].name.last[0, -1]')
# -> ['Smith', 'Smith']

plucks([1, {'val': 2}, 3], 'val')
# -> [2]

plucks([1, {'val': [1,2,3]}, 3], '1.val.-1')
# -> 3

merge({"x": 1, "y": 0}, {"x": 2})
# -> {"x": 3, "y": 0}

merge({"a": [1, 2], "b": [1, 2]}, {"a": [3, 4], "b": [3]})
# -> {"a": [4, 6], "b": [1, 2, 3]}

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Plucking (deep) keys/paths/items safely from Python objects has never been easier.

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