Come abbellire JSON in Python?

Qualcuno può suggerire come posso abbellire JSON in Python o tramite la riga di comando?

L'unico abbellitore JSON online che poteva farlo era: http://jsonviewer.stack.hu/ .

Tuttavia, devo usarlo dall'interno di Python.

Questo è il mio set di dati:

{ "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


                    "}
        }
    ] } }

Dalla riga di comando:

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

quali uscite:

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

Dal punto di vista programmatico, il manuale di Python descrive un JSON grazioso :

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

Usa l' indentargomento della dumpsfunzione nel modulo json .

Dai documenti:

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

Una soluzione in-python minima che colora i dati json forniti tramite la riga di comando:

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)

Ispirato da pjsonmenzionato sopra. Questo codice deve pygmentsessere installato.

Esempio di output:

Prova il carattere di sottolineatura-cli :

cat myfile.json | underscore print --color

È uno strumento piuttosto ingegnoso che può eseguire con eleganza molte manipolazioni di dati strutturati, eseguire frammenti js, riempire modelli, ecc. È incredibilmente ben documentato, rifinito e pronto per un uso serio. E l'ho scritto. :)

Il comando cli che ho usato con python per questo è:

cat myfile.json | python -mjson.tool

Dovresti essere in grado di trovare maggiori informazioni qui:

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

Sembra che jsbeautifier abbia reso open source i propri strumenti e li abbia impacchettati come librerie Python e JS e come strumenti CLI. Non sembra che chiamino un servizio web, ma non ho controllato troppo da vicino. Vedi il repository GitHub con le istruzioni per l'installazione.

Dai loro documenti per la CLI di Python e l'utilizzo della libreria:

Per abbellire usando Python:

$ pip install jsbeautifier
$ js-beautify file.js

L'output abbellito va a stdout.

Usare jsbeautifiercome libreria è semplice:

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

... oppure, per specificare alcune opzioni:

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

Se vuoi passare una stringa invece di un nome file e stai usando bash, puoi usare la sostituzione del processo in questo modo:

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

Non mi è piaciuto l'output di json.dumps (...) -> Per i miei gusti troppe nuove righe. E non volevo usare uno strumento da riga di comando o installare qualcosa. Finalmente ho trovato Pythons pprint (= pretty print). Sfortunatamente non genera un JSON corretto, ma penso che sia utile avere un glympse facile da usare per i dati memorizzati.

Uscita di 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
}

Utilizzo di 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)

Risultato di pprint.pformat(...)o 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'

Questo stamperà abbastanza JSON che è negli appunti in OSX. Basta copiarlo, quindi chiamare l'alias da un prompt di Bash.

È possibile reindirizzare l'output a jq. Se il tuo script Python contiene qualcosa come

print json.dumps(data)

quindi puoi sparare:

python foo.py | jq '.'

Usa la libreria degli strumenti Python

Riga di comando: python -mjson.tool

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

Innanzitutto installa i pigmenti

poi

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

I tuoi dati sono mal formati. I campi valore in particolare hanno numerosi spazi e nuove righe. I formattatori automatici non funzioneranno su questo, poiché non modificheranno i dati effettivi. Quando si generano i dati per l'output, filtrarli secondo necessità per evitare gli spazi.

Con jsonlint (come xmllint):

aptitude install python-demjson
jsonlint -f foo.json