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        "author": "Hg",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: System Administrators",
            "License :: Public Domain",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Text Processing :: Filters",
            "Topic :: Utilities"
        ],
        "description": "pjy - JSON Python processor\n===========================\n\n``pjy`` is a command-line tool to process JSON data and execute queries on it.\nIt is a bit like `jq <https://stedolan.github.io/jq/>`_ but with a Python syntax for queries.\n\nUsage\n+++++\n\n    pjy [EXPR] [FILES]\n\n``pjy`` will read JSON data from ``FILES`` and print the evaluation result of the Python expression ``EXPR``.\n\nIf ``FILES`` is missing or is \"``-``\", pjy will use stdin.\n\nThe simplest expression to use, which outputs the input unchanged is \"``d``\" (for data).\n\nIt's possible to use multiple input files.\n\nExamples\n++++++++\n\nIn ``pjy``, expressions are also called \"filters\", as in ``jq``.\n\nJust pretty-print\n-----------------\n\n``d`` (short for \"data\") is the most basic filter, it represents the whole input::\n\n    pjy 'd'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nPrints::\n\n    {\n      \"foo\": \"bar\",\n      \"baz\": [\n        1,\n        2,\n        3\n      ]\n    }\n\nSelect a dict key\n-----------------\n\nThe filters are Python expressions, hence we can select a dict key::\n\n    pjy 'd[\"baz\"]'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nAlternatively, in ``pjy``, dicts keys are also attributes::\n\n    pjy 'd.baz'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nBoth filters will print::\n\n    [\n      1,\n      2,\n      3\n    ]\n\nIn case a key has a reserved name, like ``import`` (keyword) or ``keys`` (dict method), simply use the bracket form.\n\nDo a basic operation\n--------------------\n\nIt's possible to use everything that a Python expression can contain::\n\n    pjy '[i + 1 for i in d[\"baz\"]]'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nPrints::\n\n    [\n      2,\n      3,\n      4\n    ]\n\nLambda-placeholder\n------------------\n\nA special identifier, ``_`` can be used to create lambdas. This identifier will absorb most operations done to it and return a lambda applying them.\nThen, the returned lambda can be applied::\n\n    pjy 'map(_ + 1, d.baz)'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nIs equivalent to::\n\n    pjy 'map((lambda x: x + 1), d.baz)'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nWhich will print::\n\n    [\n      2,\n      3,\n      4\n    ]\n\nThe lambda-placeholder will absorb chained operations::\n\n    pjy 'map((_ + 1) * 2, d.baz)'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\n\nWill result in::\n\n    [\n      4,\n      6,\n      8\n    ]\n\nAnd::\n\n    pjy 'map(_[1:3] * 2, d)'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nWill return::\n\n    {\n      \"foo\": \"arar\",\n      \"baz\": [\n        2,\n        3,\n        2,\n        3\n      ]\n    }\n\nPipe-like iteration\n-------------------\n\nThe pipe (``|``) can be used to iterate on a list, it accepts a function as right operand::\n\n    pjy 'd.baz | _ + 1'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nWhich prints::\n\n    [\n      2,\n      3,\n      4\n    ]\n\nIt also operates on a dict's values, and returns a dict::\n\n    pjy 'd | (lambda x: repr(x))'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nThe values are replaced by the right operand value, the keys are unchanged::\n\n    {\n      \"foo\": \"'bar'\",\n      \"baz\": \"[1, 2, 3]\"\n    }\n\nPartial placeholder\n-------------------\n\nIt's not possible to call a function on a placeholder, for example, ``len(_)`` will not work.\nHowever, it's possible to use the ``partial`` helper to prepare the function call::\n\n    pjy 'd | partial(len, _)'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nPrints::\n\n    {\n      \"foo\": 3,\n      \"baz\": 3\n    }\n\n``partial`` ressembles the ``functools.partial`` function: it returns a function wrapping the function passed as first argument.\nThe returned function will call the original function with the fixed arguments passed.\nThe difference is that lambda-placeholders can be passed, and they will be replaced by the wrapper's argument.\n\n``p`` is a short alias for the ``partial`` function which can be used in pjy expressions.\n\nImports\n-------\n\nIt's possible to import modules with the ``imp`` function::\n\n   pjy 'filter(p(imp(\"fnmatch\").fnmatch, _, \"f*\"), d.keys())'\n        {\"foo\":\"bar\",\"baz\":[1,2,3]}\n\nWill print::\n\n    [\n      \"foo\"\n    ]\n\nThe ``math`` and ``re`` modules are already imported and available directly without having to call ``imp``.\n\nMultiple inputs\n---------------\n\nIn ``pjy``, an ``inputs`` variable exists, which is a list containing the JSON data of each input file passed on the command line.\nThe ``d`` variable is simply an alias to ``inputs[0]``.\n\nFor example::\n\n    pjy 'filter(_[0] != _[1], zip(inputs[0], inputs[1]))' before.json after.json\n\nwill read 2 files ``before.json`` and ``after.json``, which consist in a list of objects, and ``pjy`` will compare each zipped-pair of objects together.\nThen it will print the list of differing pairs.\n\n\nSecurity\n++++++++\n\n``pjy`` by itself does not write files (except stdout/stderr) or sockets, or run external commands.\nHowever, ``pjy`` runs the given expressions passed as argument, in the Python interpreter, without a sandbox.\nHence, do NOT pass dangerous or untrusted Python expressions to ``pjy``.\n\nDependencies\n++++++++++++\n\n``pjy`` is written in Python 3. Its ``setup.py`` requires ``setuptools``.\n\nIf ``pygments`` is installed, ``pjy``'s output will be colorized, but it's entirely optional.\n\nVersion and license\n+++++++++++++++++++\n\n.. $version\n\n``pjy`` is at version 0.10.0, it uses `semantic versioning <http://semver.org/>`_.\nIt is licensed under the WTFPLv2, see COPYING.WTFPL for license text.\n\n",
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