Overview

Package jpathpy is easy way for selecting items from objects, that can be iterate by keys or indices (such as dictionaries or lists).

Also you can use syntax of JPath for selecting items by string expression.

For example, it can be usefull for selecting some items from JSON.

Example:

>>> from jpathpy import jselection
>>> d = { "books": [
    {"author": "Nigel Rees"},
    {"author": "Evelyn Waugh"},
    {"author": "Herman Melville"},
    {"author": "J. R. R. Tolkien"},
]}
>>> # try to select all authors
>>> jselection(d).one("author", deep=True).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien')

JPath example:

>>> from jpathpy import jpath, jselection
>>> d = { "books": [
    {"author": "Nigel Rees"},
    {"author": "Evelyn Waugh"},
    {"author": "Herman Melville"},
    {"author": "J. R. R. Tolkien"},
]}
>>> # try to select all authors by JPath
>>> jpath(r'$.."author"', jselection(d)).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien')

You can use multiline JPath expression. For example:

>>> from jpathpy import jpath, jselection
>>> d = { "books": [
    {"author": "Nigel Rees"},
    {"author": "Evelyn Waugh"},
    {"author": "Herman Melville"},
    {"author": "J. R. R. Tolkien"},
]}
>>> # try to select all authors by JPath
>>> jpath(r'''$
               .."author"''', jselection(d)).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien')

Simple python dict is not ordered, so that using collections.OrderedDict is more right if you work with JSON string. It saves initial order of items if you need it. For example:

>>> import json
>>> from collections import OrderedDict
>>> from jpathpy import jselection
>>> strjson = '{"a":1, "b":2, "c":3, "d":4, "e":5}'
>>> d = json.loads(strjson)
>>> d
{'c': 3, 'a': 1, 'b': 2, 'd': 4, 'e': 5}
>>> # order of keys IS NOT EQUAL of initial order
>>> # in JSON string
>>> jselection(d).all().tuple()
(3, 1, 2, 4, 5)
>>> d = json.loads(strjson, object_pairs_hook=lambda x : OrderedDict(x))
>>> d
OrderedDict([('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', 5)])
>>> # order of keys IS EQUAL of initial order
>>> # in JSON string
>>> jselection(d).all().tuple()
(1, 2, 3, 4, 5)

Stat

Name	jpathpy
Version
License
Author	Vladimir Saltykov <vowatchka@mail.ru>
Copyright	(c) since 2017
Dev Status
Libraries.io SourceRank
Dependency status
Dependents
Languages
Python version
Wheel
Downloads from `pypi`
Downloads from `sourceforge`
Downloads from `github`
Latest GitHub release
Release date
Last GitHub commit
Open issues
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Open pull requests
Closed pull requests

Install

pip install jpathpy

Usage

>>> from jpathpy import jselection
>>> d = { "books": [
            {"author": "Nigel Rees"},
            {"author": "Evelyn Waugh"},
            {"author": "Herman Melville"},
            {"author": "J. R. R. Tolkien"},
          ],
          "paintings": [
            {"author": "Leonardo Da Vinci"},
            {"author": "Edvard Munch"},
            {"author": "Sistine Chapel by Michelangelo"},
            {"author": "Vincent Van Gogh"},
          ]
}
>>> s = jselection(d)
>>> s.print()
({'books': [{'author': 'Nigel Rees'}, {'author': 'Evelyn Waugh'}, {'author': 'Herman Melville'}, {'author': 'J. R. R. Tolkien'}], 'paintings': [{'author': 'Leonardo Da Vinci'}, {'author': 'Edvard Munch'}, {'author': 'Sistine Chapel by Michelangelo'}, {'author': 'Vincent Van Gogh'}]},)

Selection by key

Use simple selection for select all items with key books on current level of nesting. If noone items are selected than empty selection will be got.

>>> s.one("books").tuple()
([{'author': 'Nigel Rees'}, {'author': 'Evelyn Waugh'}, {'author': 'Herman Melville'}, {'author': 'J. R. R. Tolkien'}],)
>>> s.one("author").tuple()
()

For select all authors use deep selection.

>>> s.one("author", deep=True).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')

Selection all keys

For select all items on current level of nesting use selection all keys.

>>> s.all().tuple()
([{'author': 'Nigel Rees'}, {'author': 'Evelyn Waugh'}, {'author': 'Herman Melville'}, {'author': 'J. R. R. Tolkien'}], [{'author': 'Leonardo Da Vinci'}, {'author': 'Edvard Munch'}, {'author': 'Sistine Chapel by Michelangelo'}, {'author': 'Vincent Van Gogh'}])

Also you can select all keys from all nested levels.

>>> s.all(deep=True).tuple()
([{'author': 'Nigel Rees'}, {'author': 'Evelyn Waugh'}, {'author': 'Herman Melville'}, {'author': 'J. R. R. Tolkien'}], [{'author': 'Leonardo Da Vinci'}, {'author': 'Edvard Munch'}, {'author': 'Sistine Chapel by Michelangelo'}, {'author': 'Vincent Van Gogh'}], 'Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')

Select items by indices

You can select items by indices from selection. If index out of range no exceptions will be occured, but if index is invalid exception will be raised.

>>> authors = s.one("books").one("author")
>>> authors.i(0).tuple()
('Nigel Rees',)
>>> authors.i(slice(None,None,-1)).tuple()
('J. R. R. Tolkien', 'Herman Melville', 'Evelyn Waugh', 'Nigel Rees')
>>> authors.i([1, 0, 3, 2]).tuple()
('Evelyn Waugh', 'Nigel Rees', 'J. R. R. Tolkien', 'Herman Melville')
>>> authors.i(100500).tuple()
()
>>> authors.i("0").tuple()
TypeError: indices must be integers or slices, not str

Selection items from arrays

You can select items by indices from arrays if it exists in selection. If index out of range no exceptions will be occured, but if index is invalid exception will be raised. If item of selection is not array than it will be skiped in new selection.

>>> authors = s.all()
>>> authors.el(0).tuple()
({'author': 'Nigel Rees'}, {'author': 'Leonardo Da Vinci'})
>>> authors.el(slice(None,None,-1)).tuple()
({'author': 'J. R. R. Tolkien'}, {'author': 'Herman Melville'}, {'author': 'Evelyn Waugh'}, {'author': 'Nigel Rees'}, {'author': 'Vincent Van Gogh'}, {'author': 'Sistine Chapel by Michelangelo'}, {'author': 'Edvard Munch'}, {'author': 'Leonardo Da Vinci'})
>>> authors.el([2,1]).tuple()
({'author': 'Herman Melville'}, {'author': 'Evelyn Waugh'}, {'author': 'Sistine Chapel by Michelangelo'}, {'author': 'Edvard Munch'})
>>> authors.el(100500).tuple()
()
>>> authors.el("0").tuple()
TypeError: indices must be integers or slices, not str

Expand selection by array items

If you need to get all items in arrays as new selection you must expand selection. If you do this than all array in selection will be replaced to their items.

>>> books = s.one("books")
>>> books.tuple()
([{'author': 'Nigel Rees'}, {'author': 'Evelyn Waugh'}, {'author': 'Herman Melville'}, {'author': 'J. R. R. Tolkien'}],)
>>> books.exp().tuple()
({'author': 'Nigel Rees'}, {'author': 'Evelyn Waugh'}, {'author': 'Herman Melville'}, {'author': 'J. R. R. Tolkien'})
>>> books.exp().tuple() == books.one("author").tuple()
False

Filter selection

If you need you can filter selection by using some function that must return value that can be represent as true or false. If this function return true for item in selection than item will be added to new selection and skipped in other case.

All functions that used for filtering must have 3 positional arguments:

idx. It will be contains index of current processed selection item.
cur. It will be contains selection with only one item: current processed selection item.
root. It will be contains root selection (root seelction can be get as selection.meta["root"]).

If some exception will be occured while processing filtering function than it not be raised and item of selection will be skipped in new selection.

>>> authors = s.one("author", deep=True)
>>> authors.tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')
>>> authors.filter(lambda idx, cur, root : cur[0].startswith("E")).tuple()
('Evelyn Waugh', 'Edvard Munch')
>>> # ("Nigel Rees")[12], ("Evelyn Waugh")[12] and ("Edvard Munch")[12] raise IndexError,
>>> # but it will be skipped
>>> authors.filter(lambda idx, cur, root : cur[0][12]).tuple()
('Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')

Call different functions on selection

You can call your different functions on selection or on items in selection. Note, if some exception will be occured while processing function than exception be raised. Call of all following methods return value that return function, not selection.

>>> authors = s.one("author", deep=True)
>>> authors.tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')
>>> # get first char of first item
>>> authors.i(0).call4item(0, str.__getitem__, 0)
'N'
>>> # get count of items
>>> authors.call4items(list.__len__)
8
>>> # call function on current selection
>>> authors.call4self(jselection.__class__.filter, lambda idx, cur, root : cur[0].startswith("E")).tuple()
('Evelyn Waugh', 'Edvard Munch')

Also you can call function on each item in selection and get new selection. Note, in this case if some exception will be occured while processing function exception not be raised.

>>> authors = s.one("author", deep=True)
>>> authors.tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')
>>> # get string length of each items
>>> authors.call4each(str.__len__).tuple()
(17, 12, 30, 16, 10, 12, 15, 16)

Selection by JPath

You can use JPath syntax for select items.

>>> from jpathpy import jpath
>>> s1 = jselection(d, jpath_inst=jpath)
>>> s1.byjpath(r'$.."author"').tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')

Other capabilities

Iterate.

>>> authors = s.one("books").one("author")
>>> authors.tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien')
>>> for a in authors:
            print(a)
Nigel Rees
Evelyn Waugh
Herman Melville
J. R. R. Tolkien

Get item by index.

>>> authors[0]
'Nigel Rees'

Add item.

>>> (authors + ("Joan Rowling",)).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Joan Rowling')

Repeat items.

>>> (authors.i(0) * 3).tuple()
('Nigel Rees', 'Nigel Rees', 'Nigel Rees')

Get length of selection.

>>> len(authors)
4

As tuple.

>>> authors.tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien')

Print.

>>> authors.print()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien')

Meta data.

>>> authors.meta
{'iters_by_idx': (<class 'collections.abc.Iterable'>,), 'root': <jpathpy.JSelection object at 0x02FF2670>, 'jpath_inst': None, 'iters_by_key': (<class 'dict'>,), 'ex_iters_by_idx': (<class 'dict'>, <class 'str'>), 'ex_iters_by_key': ()}

Configurate process of selection.

>>> s.one("author", deep=True).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')
>>> d1 = { "books": [
            {"author": "Nigel Rees"},
            {"author": "Evelyn Waugh"},
            {"author": "Herman Melville"},
            {"author": "J. R. R. Tolkien"},
          ],
          "paintings": (
            OrderedDict({"author": "Leonardo Da Vinci"}),
            OrderedDict({"author": "Edvard Munch"}),
            OrderedDict({"author": "Sistine Chapel by Michelangelo"}),
            OrderedDict({"author": "Vincent Van Gogh"}),
          )
}
>>> # configurate selection
>>> s1 = jselection(d1, iters_by_idx=(list,), ex_iters_by_idx=(tuple,), iters_by_key=(dict,), ex_iters_by_key=(OrderedDict,))
>>> s1.one("author", deep=True).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien')
>>>

Use JPath

JPath is string expression that has easy syntax and used for selecting items from objects, that can be iterate by keys or indices (such as dictionaries or lists).

>>> from jpathpy import jpath, jselection
>>> d = { "books": [
            {"author": "Nigel Rees"},
            {"author": "Evelyn Waugh"},
            {"author": "Herman Melville"},
            {"author": "J. R. R. Tolkien"},
          ],
          "paintings": [
            {"author": "Leonardo Da Vinci"},
            {"author": "Edvard Munch"},
            {"author": "Sistine Chapel by Michelangelo"},
            {"author": "Vincent Van Gogh"},
          ]
}
>>> jpath(r'$.."author"', jselection(d)).tuple()
('Nigel Rees', 'Evelyn Waugh', 'Herman Melville', 'J. R. R. Tolkien', 'Leonardo Da Vinci', 'Edvard Munch', 'Sistine Chapel by Michelangelo', 'Vincent Van Gogh')

JPath <-> JSelection

Follow table show how JPath expressions equal to jpathpy.JSelection methods.

JPath expression	Python	Comment
r'$'	>>> root	root selection
r'@'	>>> cur	current selection
r'$."key"'	>>> root.one("key")
r'$.."key"'	>>> root.one("key", deep=True)
r'$.*'	>>> root.all()
r'$..*'	>>> root.all(deep=True)
r'$.[0]'	>>> root.el(0)
r'$.[0,1,2]'	>>> root.el([0,1,2])
r'$.[0:1]'	>>> root.el(slice(0,1))
r'$[0]'	>>> root.i(0)
r'$[0,1,2]'	>>> root.i([0,1,2])
r'$[0:1]'	>>> root.i(slice(0,1))
r'$[*]'	>>> root.exp()
r'$[@."key"]'	>>> root.filter( >>> lambda idx, cur, root : >>> cur.one("key") >>> )
r'$[@."key" = "value"]'	>>> root.filter( >>> lambda idx, cur, root : >>> cur.one("key")[0] == "value" >>> )	available compare operations: `>`, `>=`, `<`, `<=`, `=`, `!=`
r'$[@."key" + 1 > 3]'	>>> root.filter( >>> lambda idx, cur, root : >>> cur.one("key")[0] + 1 > 3 >>> )	available math operations: `+`, `-`, `/`, `*`, `%`
r'$[@."key" and $.."someKey"]'	>>> root.filter( >>> lambda idx, cur, root : >>> cur.one("key") and root.one( >>> "someKey", >>> deep=True >>> ) >>> )	available logic operations: `and`, `or`
r'$[startswith(@, "value")]'	>>> root.call4self( >>> jpath_funcs.startswith, *("value",) >>> )	jpath_funcs is instance of `jpathpy.jpath_funcs.JPathFunctions`

Use JPath functions

You can call different functions from JPath expression. By default all new instances of jpathpy.JPath use instance of jpathpy.jpath_funcs.JPathFunctions. This class provides methods that can be call as JPath function. For example:

>>> jpath(r'$.."author"[startswith(@, "E")]', jselection(d)).tuple()
('Evelyn Waugh', 'Edvard Munch')

You can define your classes, methods of which will be used as JPath functions. All that you need it is inherit from class jpathpy.jpath_funcs.JPathFunctionsWrapper. This class provides two protected methods:

_jpath_function(func)

It is decorator for decorate your methods as JPath function.

First argument of JPath function must be an instance of jpathpy.JSelection.
_getvalue(self, obj)

Return value of obj or value of obj[0] if obj is instance of JSelection.

Follow example show how define yourself JPath functions:

>>> from jpathpy.jpath_funcs import JPathFunctionsWrapper
>>>
>>> class MyJPathFuncs(JPathFunctionsWrapper):
        @JPathFunctionsWrapper._jpath_function
        def firstchar(self, selection):
            return self._getvalue(selection)[0]
        @JPathFunctionsWrapper._jpath_function
        def lastchar(self, selection):
            return self._getvalue(selection)[-1]
>>>
>>>
>>> d = { "books": [
            {"author": "Nigel Rees"},
            {"author": "Evelyn Waugh"},
            {"author": "Herman Melville"},
            {"author": "J. R. R. Tolkien"},
          ],
          "paintings": [
            {"author": "Leonardo Da Vinci"},
            {"author": "Edvard Munch"},
            {"author": "Sistine Chapel by Michelangelo"},
            {"author": "Vincent Van Gogh"},
          ]
}
>>> jpath = JPath(jpath_funcs=MyJPathFuncs())
>>> s = jselection(d)
>>> author = jselection(d).one("author", deep=True).i(0)
>>> author.tuple()
('Leonardo Da Vinci',)
>>> jpath.exec_jpath_func(r'firstchar(@)', author, author)
'L'
>>> jpath.exec_jpath_func(r'lastchar(@)', author, author)
'i'
>>> jpath(r'$.."author"[firstchar(@) = "L" and lastchar(@) = "i"]', s).tuple()
('Leonardo Da Vinci',)

Also you can inherit from jpathpy.jpath_funcs.JPathFunctions for expand its functionality.

jpathpy
Release 2.0.0

Release 2.0.0

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1.1.5

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1.1.3

1.1.2

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1.1.0

Documentation

Overview

Stat

Install

Usage

Selection by key

Selection all keys

Select items by indices

Selection items from arrays

Expand selection by array items

Filter selection

Call different functions on selection

Selection by JPath

Other capabilities

Use JPath

JPath <-> JSelection

Use JPath functions

Stats

Releases

Contributors

jpathpy Release 2.0.0

Release 2.0.0 Toggle Dropdown 2.0.0 1.1.9 1.1.7 1.1.6 1.1.5 1.1.4 1.1.3 1.1.2 1.1.1 1.1.0

Documentation

Overview

Stat

Install

Usage

Selection by key

Selection all keys

Select items by indices

Selection items from arrays

Expand selection by array items

Filter selection

Call different functions on selection

Selection by JPath

Other capabilities

Use JPath

JPath <-> JSelection

Use JPath functions

Stats

Releases

Contributors

jpathpy
Release 2.0.0

Release 2.0.0

2.0.0

1.1.9

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0