215 lines
6.7 KiB
ReStructuredText
215 lines
6.7 KiB
ReStructuredText
JMESPath
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========
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.. image:: https://badges.gitter.im/Join Chat.svg
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:target: https://gitter.im/jmespath/chat
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.. image:: https://secure.travis-ci.org/jmespath/jmespath.py.png?branch=develop
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:target: http://travis-ci.org/jmespath/jmespath.py
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.. image:: https://codecov.io/github/jmespath/jmespath.py/coverage.svg?branch=develop
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:target: https://codecov.io/github/jmespath/jmespath.py?branch=develop
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JMESPath (pronounced "james path") allows you to declaratively specify how to
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extract elements from a JSON document.
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For example, given this document::
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{"foo": {"bar": "baz"}}
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The jmespath expression ``foo.bar`` will return "baz".
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JMESPath also supports:
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Referencing elements in a list. Given the data::
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{"foo": {"bar": ["one", "two"]}}
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The expression: ``foo.bar[0]`` will return "one".
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You can also reference all the items in a list using the ``*``
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syntax::
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{"foo": {"bar": [{"name": "one"}, {"name": "two"}]}}
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The expression: ``foo.bar[*].name`` will return ["one", "two"].
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Negative indexing is also supported (-1 refers to the last element
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in the list). Given the data above, the expression
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``foo.bar[-1].name`` will return "two".
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The ``*`` can also be used for hash types::
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{"foo": {"bar": {"name": "one"}, "baz": {"name": "two"}}}
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The expression: ``foo.*.name`` will return ["one", "two"].
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API
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===
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The ``jmespath.py`` library has two functions
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that operate on python data structures. You can use ``search``
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and give it the jmespath expression and the data:
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.. code:: python
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>>> import jmespath
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>>> path = jmespath.search('foo.bar', {'foo': {'bar': 'baz'}})
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'baz'
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Similar to the ``re`` module, you can use the ``compile`` function
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to compile the JMESPath expression and use this parsed expression
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to perform repeated searches:
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.. code:: python
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>>> import jmespath
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>>> expression = jmespath.compile('foo.bar')
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>>> expression.search({'foo': {'bar': 'baz'}})
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'baz'
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>>> expression.search({'foo': {'bar': 'other'}})
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'other'
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This is useful if you're going to use the same jmespath expression to
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search multiple documents. This avoids having to reparse the
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JMESPath expression each time you search a new document.
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Options
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-------
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You can provide an instance of ``jmespath.Options`` to control how
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a JMESPath expression is evaluated. The most common scenario for
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using an ``Options`` instance is if you want to have ordered output
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of your dict keys. To do this you can use either of these options:
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.. code:: python
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>>> import jmespath
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>>> jmespath.search('{a: a, b: b},
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... mydata,
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... jmespath.Options(dict_cls=collections.OrderedDict))
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>>> import jmespath
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>>> parsed = jmespath.compile('{a: a, b: b}')
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>>> parsed.search('{a: a, b: b},
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... mydata,
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... jmespath.Options(dict_cls=collections.OrderedDict))
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Custom Functions
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~~~~~~~~~~~~~~~~
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The JMESPath language has numerous
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`built-in functions
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<http://jmespath.org/specification.html#built-in-functions>`__, but it is
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also possible to add your own custom functions. Keep in mind that
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custom function support in jmespath.py is experimental and the API may
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change based on feedback.
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**If you have a custom function that you've found useful, consider submitting
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it to jmespath.site and propose that it be added to the JMESPath language.**
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You can submit proposals
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`here <https://github.com/jmespath/jmespath.site/issues>`__.
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To create custom functions:
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* Create a subclass of ``jmespath.functions.Functions``.
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* Create a method with the name ``_func_<your function name>``.
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* Apply the ``jmespath.functions.signature`` decorator that indicates
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the expected types of the function arguments.
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* Provide an instance of your subclass in a ``jmespath.Options`` object.
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Below are a few examples:
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.. code:: python
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import jmespath
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from jmespath import functions
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# 1. Create a subclass of functions.Functions.
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# The function.Functions base class has logic
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# that introspects all of its methods and automatically
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# registers your custom functions in its function table.
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class CustomFunctions(functions.Functions):
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# 2 and 3. Create a function that starts with _func_
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# and decorate it with @signature which indicates its
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# expected types.
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# In this example, we're creating a jmespath function
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# called "unique_letters" that accepts a single argument
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# with an expected type "string".
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@functions.signature({'types': ['string']})
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def _func_unique_letters(self, s):
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# Given a string s, return a sorted
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# string of unique letters: 'ccbbadd' -> 'abcd'
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return ''.join(sorted(set(s)))
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# Here's another example. This is creating
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# a jmespath function called "my_add" that expects
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# two arguments, both of which should be of type number.
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@functions.signature({'types': ['number']}, {'types': ['number']})
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def _func_my_add(self, x, y):
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return x + y
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# 4. Provide an instance of your subclass in a Options object.
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options = jmespath.Options(custom_functions=CustomFunctions())
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# Provide this value to jmespath.search:
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# This will print 3
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print(
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jmespath.search(
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'my_add(`1`, `2`)', {}, options=options)
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)
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# This will print "abcd"
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print(
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jmespath.search(
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'foo.bar | unique_letters(@)',
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{'foo': {'bar': 'ccbbadd'}},
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options=options)
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)
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Again, if you come up with useful functions that you think make
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sense in the JMESPath language (and make sense to implement in all
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JMESPath libraries, not just python), please let us know at
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`jmespath.site <https://github.com/jmespath/jmespath.site/issues>`__.
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Specification
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=============
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If you'd like to learn more about the JMESPath language, you can check out
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the `JMESPath tutorial <http://jmespath.org/tutorial.html>`__. Also check
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out the `JMESPath examples page <http://jmespath.org/examples.html>`__ for
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examples of more complex jmespath queries.
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The grammar is specified using ABNF, as described in
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`RFC4234 <http://www.ietf.org/rfc/rfc4234.txt>`_.
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You can find the most up to date
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`grammar for JMESPath here <http://jmespath.org/specification.html#grammar>`__.
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You can read the full
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`JMESPath specification here <http://jmespath.org/specification.html>`__.
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Testing
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=======
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In addition to the unit tests for the jmespath modules,
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there is a ``tests/compliance`` directory that contains
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.json files with test cases. This allows other implementations
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to verify they are producing the correct output. Each json
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file is grouped by feature.
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Discuss
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=======
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Join us on our `Gitter channel <https://gitter.im/jmespath/chat>`__
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if you want to chat or if you have any questions.
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