jq.py: a lightweight and flexible JSON processor
================================================
This project contains Python bindings for
`jq <https://jqlang.github.io/jq/>`_ 1.7.1.
Installation
------------
Wheels are built for various Python versions and architectures on Linux and Mac OS X.
On these platforms, you should be able to install jq with a normal pip install:
.. code-block:: sh
pip install jq
If a wheel is not available,
the source for jq 1.7.1 is built.
This requires:
* Autoreconf
* The normal C compiler toolchain, such as gcc and make.
* libtool
* Python headers.
Alternatively, set the environment variable ``JQPY_USE_SYSTEM_LIBS`` to ``1`` when installing the package
to use the libjq and libonig versions available on the system rather than building them.
Debian, Ubuntu or relatives
~~~~~~~~~~~~~~~~~~~~~~~~~~~
If on Debian, Ubuntu or relatives, running the following command should be sufficient:
.. code-block:: sh
apt-get install autoconf automake build-essential libtool python-dev
Red Hat, Fedora, CentOS or relatives
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If on Red Hat, Fedora, CentOS, or relatives, running the following command should be sufficient:
.. code-block:: sh
yum groupinstall "Development Tools"
yum install autoconf automake libtool python python-devel
Mac OS X
~~~~~~~~
If on Mac OS X, you probably want to install
`Xcode <https://developer.apple.com/xcode/>`_ and `Homebrew <http://brew.sh/>`_.
Once Homebrew is installed, you can install the remaining dependencies with:
.. code-block:: sh
brew install autoconf automake libtool
Usage
-----
Using jq requires three steps:
#. Call ``jq.compile()`` to compile a jq program.
#. Call an input method on the compiled program to supply the input.
#. Call an output method on the result to retrieve the output.
For instance:
.. code-block:: python
import jq
assert jq.compile(".+5").input_value(42).first() == 47
Input methods
~~~~~~~~~~~~~
Call ``.input_value()`` to supply a valid JSON value, such as the values returned from ``json.load``:
.. code-block:: python
import jq
assert jq.compile(".").input_value(None).first() == None
assert jq.compile(".").input_value(42).first() == 42
assert jq.compile(".").input_value(0.42).first() == 0.42
assert jq.compile(".").input_value(True).first() == True
assert jq.compile(".").input_value("hello").first() == "hello"
Call ``.input_values()`` to supply multiple valid JSON values, such as the values returned from ``json.load``:
.. code-block:: python
import jq
assert jq.compile(".+5").input_values([1, 2, 3]).all() == [6, 7, 8]
Call ``.input_text()`` to supply unparsed JSON text:
.. code-block:: python
import jq
assert jq.compile(".").input_text("null").first() == None
assert jq.compile(".").input_text("42").first() == 42
assert jq.compile(".").input_text("0.42").first() == 0.42
assert jq.compile(".").input_text("true").first() == True
assert jq.compile(".").input_text('"hello"').first() == "hello"
assert jq.compile(".").input_text("1\n2\n3").all() == [1, 2, 3]
Pass ``slurp=True`` to ``.input_text()`` to read the entire input into an array:
.. code-block:: python
import jq
assert jq.compile(".").input_text("1\n2\n3", slurp=True).first() == [1, 2, 3]
You can also call the older ``input()`` method by passing:
* a valid JSON value, such as the values returned from ``json.load``, as a positional argument
* unparsed JSON text as the keyword argument ``text``
For instance:
.. code-block:: python
import jq
assert jq.compile(".").input("hello").first() == "hello"
assert jq.compile(".").input(text='"hello"').first() == "hello"
Output methods
~~~~~~~~~~~~~~
Calling ``first()`` on the result will run the program with the given input,
and return the first output element.
.. code-block:: python
import jq
assert jq.compile(".").input_value("hello").first() == "hello"
assert jq.compile("[.[]+1]").input_value([1, 2, 3]).first() == [2, 3, 4]
assert jq.compile(".[]+1").input_value([1, 2, 3]).first() == 2
Call ``text()`` instead of ``first()`` to serialise the output into JSON text:
.. code-block:: python
assert jq.compile(".").input_value("42").text() == '"42"'
When calling ``text()``, if there are multiple output elements, each element is represented by a separate line:
.. code-block:: python
assert jq.compile(".[]").input_value([1, 2, 3]).text() == "1\n2\n3"
Call ``all()`` to get all of the output elements in a list:
.. code-block:: python
assert jq.compile(".[]+1").input_value([1, 2, 3]).all() == [2, 3, 4]
Call ``iter()`` to get all of the output elements as an iterator:
.. code-block:: python
iterator = iter(jq.compile(".[]+1").input_value([1, 2, 3]))
assert next(iterator, None) == 2
assert next(iterator, None) == 3
assert next(iterator, None) == 4
assert next(iterator, None) == None
Arguments
~~~~~~~~~
Calling ``compile()`` with the ``args`` argument allows predefined variables to be used within the program:
.. code-block:: python
program = jq.compile("$a + $b + .", args={"a": 100, "b": 20})
assert program.input_value(3).first() == 123
Convenience functions
~~~~~~~~~~~~~~~~~~~~~
Convenience functions are available to get the output for a program and input in one call:
.. code-block:: python
assert jq.first(".[] + 1", [1, 2, 3]) == 2
assert jq.first(".[] + 1", text="[1, 2, 3]") == 2
assert jq.text(".[] + 1", [1, 2, 3]) == "2\n3\n4"
assert jq.all(".[] + 1", [1, 2, 3]) == [2, 3, 4]
assert list(jq.iter(".[] + 1", [1, 2, 3])) == [2, 3, 4]
Original program string
~~~~~~~~~~~~~~~~~~~~~~~
The original program string is available on a compiled program as the ``program_string`` attribute:
.. code-block:: python
program = jq.compile(".")
assert program.program_string == "."
Raw data
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"description": "jq.py: a lightweight and flexible JSON processor\n================================================\n\nThis project contains Python bindings for\n`jq <https://jqlang.github.io/jq/>`_ 1.7.1.\n\nInstallation\n------------\n\nWheels are built for various Python versions and architectures on Linux and Mac OS X.\nOn these platforms, you should be able to install jq with a normal pip install:\n\n.. code-block:: sh\n\n pip install jq\n\nIf a wheel is not available,\nthe source for jq 1.7.1 is built.\nThis requires:\n\n* Autoreconf\n\n* The normal C compiler toolchain, such as gcc and make.\n\n* libtool\n\n* Python headers.\n\nAlternatively, set the environment variable ``JQPY_USE_SYSTEM_LIBS`` to ``1`` when installing the package\nto use the libjq and libonig versions available on the system rather than building them.\n\nDebian, Ubuntu or relatives\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nIf on Debian, Ubuntu or relatives, running the following command should be sufficient:\n\n.. code-block:: sh\n\n apt-get install autoconf automake build-essential libtool python-dev\n\nRed Hat, Fedora, CentOS or relatives\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nIf on Red Hat, Fedora, CentOS, or relatives, running the following command should be sufficient:\n\n.. code-block:: sh\n\n yum groupinstall \"Development Tools\"\n yum install autoconf automake libtool python python-devel\n\nMac OS X\n~~~~~~~~\n\nIf on Mac OS X, you probably want to install\n`Xcode <https://developer.apple.com/xcode/>`_ and `Homebrew <http://brew.sh/>`_.\nOnce Homebrew is installed, you can install the remaining dependencies with:\n\n.. code-block:: sh\n\n brew install autoconf automake libtool\n\nUsage\n-----\n\nUsing jq requires three steps:\n\n#. Call ``jq.compile()`` to compile a jq program.\n#. Call an input method on the compiled program to supply the input.\n#. Call an output method on the result to retrieve the output.\n\nFor instance:\n\n.. code-block:: python\n\n import jq\n\n assert jq.compile(\".+5\").input_value(42).first() == 47\n\nInput methods\n~~~~~~~~~~~~~\n\nCall ``.input_value()`` to supply a valid JSON value, such as the values returned from ``json.load``:\n\n.. code-block:: python\n\n import jq\n\n assert jq.compile(\".\").input_value(None).first() == None\n assert jq.compile(\".\").input_value(42).first() == 42\n assert jq.compile(\".\").input_value(0.42).first() == 0.42\n assert jq.compile(\".\").input_value(True).first() == True\n assert jq.compile(\".\").input_value(\"hello\").first() == \"hello\"\n\nCall ``.input_values()`` to supply multiple valid JSON values, such as the values returned from ``json.load``:\n\n.. code-block:: python\n\n import jq\n\n assert jq.compile(\".+5\").input_values([1, 2, 3]).all() == [6, 7, 8]\n\nCall ``.input_text()`` to supply unparsed JSON text:\n\n.. code-block:: python\n\n import jq\n\n assert jq.compile(\".\").input_text(\"null\").first() == None\n assert jq.compile(\".\").input_text(\"42\").first() == 42\n assert jq.compile(\".\").input_text(\"0.42\").first() == 0.42\n assert jq.compile(\".\").input_text(\"true\").first() == True\n assert jq.compile(\".\").input_text('\"hello\"').first() == \"hello\"\n assert jq.compile(\".\").input_text(\"1\\n2\\n3\").all() == [1, 2, 3]\n\nPass ``slurp=True`` to ``.input_text()`` to read the entire input into an array:\n\n.. code-block:: python\n\n import jq\n\n assert jq.compile(\".\").input_text(\"1\\n2\\n3\", slurp=True).first() == [1, 2, 3]\n\nYou can also call the older ``input()`` method by passing:\n\n* a valid JSON value, such as the values returned from ``json.load``, as a positional argument\n* unparsed JSON text as the keyword argument ``text``\n\nFor instance:\n\n.. code-block:: python\n\n import jq\n\n assert jq.compile(\".\").input(\"hello\").first() == \"hello\"\n assert jq.compile(\".\").input(text='\"hello\"').first() == \"hello\"\n\nOutput methods\n~~~~~~~~~~~~~~\n\nCalling ``first()`` on the result will run the program with the given input,\nand return the first output element.\n\n.. code-block:: python\n\n import jq\n\n assert jq.compile(\".\").input_value(\"hello\").first() == \"hello\"\n assert jq.compile(\"[.[]+1]\").input_value([1, 2, 3]).first() == [2, 3, 4]\n assert jq.compile(\".[]+1\").input_value([1, 2, 3]).first() == 2\n\nCall ``text()`` instead of ``first()`` to serialise the output into JSON text:\n\n.. code-block:: python\n\n assert jq.compile(\".\").input_value(\"42\").text() == '\"42\"'\n\nWhen calling ``text()``, if there are multiple output elements, each element is represented by a separate line:\n\n.. code-block:: python\n\n assert jq.compile(\".[]\").input_value([1, 2, 3]).text() == \"1\\n2\\n3\"\n\nCall ``all()`` to get all of the output elements in a list:\n\n.. code-block:: python\n\n assert jq.compile(\".[]+1\").input_value([1, 2, 3]).all() == [2, 3, 4]\n\nCall ``iter()`` to get all of the output elements as an iterator:\n\n.. code-block:: python\n\n iterator = iter(jq.compile(\".[]+1\").input_value([1, 2, 3]))\n assert next(iterator, None) == 2\n assert next(iterator, None) == 3\n assert next(iterator, None) == 4\n assert next(iterator, None) == None\n\nArguments\n~~~~~~~~~\n\nCalling ``compile()`` with the ``args`` argument allows predefined variables to be used within the program:\n\n.. code-block:: python\n\n program = jq.compile(\"$a + $b + .\", args={\"a\": 100, \"b\": 20})\n assert program.input_value(3).first() == 123\n\nConvenience functions\n~~~~~~~~~~~~~~~~~~~~~\n\nConvenience functions are available to get the output for a program and input in one call:\n\n.. code-block:: python\n\n assert jq.first(\".[] + 1\", [1, 2, 3]) == 2\n assert jq.first(\".[] + 1\", text=\"[1, 2, 3]\") == 2\n assert jq.text(\".[] + 1\", [1, 2, 3]) == \"2\\n3\\n4\"\n assert jq.all(\".[] + 1\", [1, 2, 3]) == [2, 3, 4]\n assert list(jq.iter(\".[] + 1\", [1, 2, 3])) == [2, 3, 4]\n\nOriginal program string\n~~~~~~~~~~~~~~~~~~~~~~~\n\nThe original program string is available on a compiled program as the ``program_string`` attribute:\n\n.. code-block:: python\n\n program = jq.compile(\".\")\n assert program.program_string == \".\"\n",
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