Как украсить JSON в Python?

Может ли кто-нибудь подсказать, как я могу украсить JSON в Python или через командную строку?

Единственный онлайн-украситель JSON, который мог это сделать, был: http://jsonviewer.stack.hu/ .

Однако мне нужно использовать его из Python.

Это мой набор данных:

{ "head": {"vars": [ "address" , "description" ,"listprice" ]} , "results": { "bindings": [ 
    {
        "address" : { "type":"string", "value" : " Dyne Road, London NW6"},
            "description" :{ "type":"string", "value" : "6 bed semi detached house"},
            "listprice" : { "type":"string", "value" : "1,150,000"}
    }
    ,
        {
            "address" : { "type":"string", "value" : " Tweedy Road, Bromley BR1"},
            "description" :{ "type":"string", "value" : "5 bed terraced house"},
            "listprice" : { "type":"string", "value" : "550,000"}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Vera Avenue, London N21"},
            "description" :{ "type":"string", "value" : "4 bed detached house"},
            "listprice" : { "type":"string", "value" : "

                995,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Wimbledon Park Side, London SW19"},
            "description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Westbere Road, West Hampstead, London NW2"},
            "description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " The Avenue, Hatch End, Pinner HA5"},
            "description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Princes Park Avenue, London NW11"},
            "description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Canons Drive, Edgware HA8"},
            "description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Westbere Road, West Hampstead NW2"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Haymills Estate, Ealing, London"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Dene Terrace Woodclyffe Drive, Chislehurst, Kent BR7"},
            "description" :{ "type":"string", "value" : "5 bedroom  terraced house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Dene Terrace Woodclyffe Drive, Chislehurst, Kent BR7"},
            "description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Northwick Close, St John's Wood NW8"},
            "description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Claremont Gardens, Surbiton KT6"},
            "description" :{ "type":"string", "value" : "13 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Dene Terrace Woodclyffe Drive, Chislehurst, Kent BR7"},
            "description" :{ "type":"string", "value" : "5 bedroom  end terrace house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Stamford Road, London N1"},
            "description" :{ "type":"string", "value" : "4 bedroom  terraced house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Stanhope Avenue, London N3"},
            "description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Haymills Estate, Ealing, London"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Elms Crescent, London SW4"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Princes Park Avenue, London NW11"},
            "description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Abbeville Road, London SW4"},
            "description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Canons Drive, Edgware HA8"},
            "description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Henson Avenue, Willesdon Green NW2"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Woodstock Road, London NW11"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Tamworth Street, London SW6"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Stanhope Avenue, Finchley, London"},
            "description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " The Old Burlington, Church Street, London W4"},
            "description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Ebury Close, Northwood HA6"},
            "description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Middleton Road, London NW11"},
            "description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Henson Avenue, Willesden Green NW2"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Huron Road, London SW17"},
            "description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Corringway, Ealing W5"},
            "description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Woodlands Avenue, New Malden KT3"},
            "description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Gunnersbury Park Area, Ealing, London"},
            "description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Blenheim Gardens, London, Brent NW2"},
            "description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Creighton Road, London NW6"},
            "description" :{ "type":"string", "value" : "4 bedroom  terraced house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Plaistow Lane, Bromley BR1"},
            "description" :{ "type":"string", "value" : "7 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Greenfield Gardens, London NW2"},
            "description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Hendon Avenue, London N3"},
            "description" :{ "type":"string", "value" : "3 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Peckham Park Road, London SE15"},
            "description" :{ "type":"string", "value" : "6 bedroom  semi detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Woodclyffe Drive, Chislehurst BR7"},
            "description" :{ "type":"string", "value" : "5 bedroom  house for sale"},
            "listprice" : { "type":"string", "value" : "

                From 1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Highwood Hill, Mill Hill, London"},
            "description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Stanhope Avenue, London N3"},
            "description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Kersley Mews, London SW11"},
            "description" :{ "type":"string", "value" : "3 bedroom  mews for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Ebury Close, Northwood HA6"},
            "description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Ellesmere Road, Chiswick W4"},
            "description" :{ "type":"string", "value" : "6 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " The Avenue, Hatch End, Pinner, Middlesex"},
            "description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Wandsworth, London SW18"},
            "description" :{ "type":"string", "value" : "6 bedroom  semi detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Carlton Road, New Malden KT3"},
            "description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " St Mary's Mews, Ealing W5"},
            "description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Ritherdon Road, Balham, London SW17"},
            "description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Goldsmith Avenue, London W3"},
            "description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ,
        {
            "address" : { "type":"string", "value" : " Plaistow Lane, Bromley, Kent BR1"},
            "description" :{ "type":"string", "value" : "7 bedroom  detached house for sale"},
            "listprice" : { "type":"string", "value" : "

                1,250,000


                    "}
        }
    ] } }

Из командной строки:

echo '{"one":1,"two":2}' | python -mjson.tool

который выводит:

{
    "one": 1, 
    "two": 2
}

Программно руководство по Python описывает довольно печатный JSON :

>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
    "4": 5,
    "6": 7
}

Используйте indentаргумент dumpsфункции в модуле json .

Из документов:

>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
    "4": 5,
    "6": 7
}

Минимальное решение на Python, которое окрашивает данные json, передаваемые через командную строку:

import sys
import json
from pygments import highlight, lexers, formatters

formatted_json = json.dumps(json.loads(sys.argv[1]), indent=4)
colorful_json = highlight(unicode(formatted_json, 'UTF-8'), lexers.JsonLexer(), formatters.TerminalFormatter())
print(colorful_json)

Вдохновлено pjsonупомянутым выше. Этот код необходимо pygmentsустановить.

Пример вывода:

Попробуйте underscore-cli :

cat myfile.json | underscore print --color

Это довольно изящный инструмент, который может элегантно выполнять множество операций со структурированными данными, выполнять js-фрагменты, шаблоны заполнения и т. Д. Он до смешного хорошо документирован, отполирован и готов к серьезному использованию. И я это написал. :)

Команда cli, которую я использовал для этого с python:

cat myfile.json | python -mjson.tool

Здесь вы можете найти дополнительную информацию:

http://docs.python.org/library/json.html

Похоже, jsbeautifier открыла исходный код своих инструментов и упаковала их как библиотеки Python и JS, а также как инструменты CLI. Не похоже, что они обращаются к веб-сервису, но я не слишком внимательно проверял. См. Репозиторий github с инструкциями по установке.

Из их документов для Python CLI и использования библиотеки:

Чтобы украсить с помощью Python:

$ pip install jsbeautifier
$ js-beautify file.js

Украшенный выход идет в stdout.

Использовать jsbeautifierкак библиотеку просто:

import jsbeautifier
res = jsbeautifier.beautify('your javascript string')
res = jsbeautifier.beautify_file('some_file.js')

... или, чтобы указать некоторые параметры:

opts = jsbeautifier.default_options()
opts.indent_size = 2
res = jsbeautifier.beautify('some javascript', opts)

Если вы хотите передать строку вместо имени файла и используете bash, вы можете использовать замену процесса следующим образом:

$ js-beautify <(echo '{"some": "json"}')

Мне не понравился вывод json.dumps (...) -> На мой вкус, слишком много новых строк. И я не хотел использовать инструмент командной строки или что-то устанавливать. Наконец-то я нашел Pythons pprint (= красивый отпечаток). К сожалению, он не генерирует правильный JSON, но я думаю, что полезно иметь удобный глимпс для сохраненных данных.

Выход json.dumps(json_dict, indent=4)

{
    "hyperspace": {
        "constraints": [],
        "design": [
            [
                "windFarm.windparkSize.k",
                "continuous",
                [
                    0,
                    0,
                    5
                ]
            ],
            [
                "hydroPlant.primaryControlMax",
                "continuous",
                [
                    100,
                    300
                ]
            ]
        ],
        "kpis": [
            "frequency.y",
            "city.load.p[2]"
        ]
    },
    "lhc_size": 10,
    "number_of_runs": 10
}

Использование pprint:

import pprint

json_dict = {"hyperspace": {"constraints": [], "design": [["windFarm.windparkSize.k", "continuous", [0, 0, 5]], ["hydroPlant.primaryControlMax", "continuous", [100, 300]]], "kpis": ["frequency.y", "city.load.p[2]"]}, "lhc_size": 10, "number_of_runs": 10}

formatted_json_str = pprint.pformat(json_dict)
print(formatted_json_str)
pprint.pprint(json_dict)

Результат pprint.pformat(...)или pprint.pprint(...):

{'hyperspace': {'constraints': [],
                'design': [['windFarm.windparkSize.k', 'continuous', [0, 0, 5]],
                           ['hydroPlant.primaryControlMax',
                            'continuous',
                            [100, 300]]],
                'kpis': ['frequency.y', 'city.load.p[2]']},
 'lhc_size': 10,
 'number_of_runs': 10}

alias jsonp='pbpaste | python -m json.tool'

Это будет довольно печатать JSON, который находится в буфере обмена в OSX. Просто скопируйте его, затем вызовите псевдоним из командной строки Bash.

Вы можете направить вывод в jq. Если ваш скрипт python содержит что-то вроде

print json.dumps(data)

тогда вы можете стрелять:

python foo.py | jq '.'

Используйте библиотеку инструментов Python

Командная строка: python -mjson.tool

В коде: http://docs.python.org/library/json.html

Сначала установите пигменты

затем

echo '<some json>' | python -m json.tool | pygmentize -l json

Ваши данные плохо сформированы. В частности, поля значений содержат множество пробелов и новых строк. Автоматические программы форматирования не будут работать с этим, поскольку они не будут изменять фактические данные. По мере создания данных для вывода фильтруйте их по мере необходимости, чтобы избежать пробелов.

С jsonlint (например, xmllint):

aptitude install python-demjson
jsonlint -f foo.json