Quelqu'un peut-il suggérer comment je peux embellir JSON dans Python ou par la ligne de commande?
Le seul logiciel d’embellissement JSON en ligne capable de le faire était: http://jsonviewer.stack.hu/ .
Je dois cependant l'utiliser depuis Python.
Ceci est mon jeu de données:
{ "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
"}
}
] } }
A partir de la ligne de commande:
echo '{"one":1,"two":2}' | python -mjson.tool
qui produit:
{
"one": 1,
"two": 2
}
Par programmation, le Python manuel décrit le JSON en jolie impression :
>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
"4": 5,
"6": 7
}
Utilisez l'argument indent
de la fonction dumps
dans le module json .
De la docs:
>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
"4": 5,
"6": 7
}
Une solution in-python minimale qui colore les données JSON fournies via la ligne de commande:
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)
Inspiré par pjson
mentionné ci-dessus. Ce code nécessite que pygments
soit installé.
Exemple de sortie:
Essayez nderscore-cli :
cat myfile.json | underscore print --color
C'est un outil très astucieux qui peut élégamment faire beaucoup de manipulations de données structurées, exécuter des extraits JS, des modèles de remplissage, etc. Il est ridiculement bien documenté, poli et prêt pour une utilisation sérieuse. Et je l'ai écrit. :)
La commande cli que j'ai utilisée avec python pour cela est la suivante:
cat myfile.json | python -mjson.tool
Vous devriez pouvoir trouver plus d'informations ici:
Il semble que jsbeautifier ait ouvert ses outils et les ait empaquetés sous la forme Python et les bibliothèques JS, et en tant qu'outils de la CLI. Il ne ressemble pas à un service Web, mais je n'ai pas vérifié de trop près. Voir le repo de github avec les instructions d'installation.
Depuis leurs documents pour Python utilisation de la CLI et de la bibliothèque:
Pour embellir en utilisant python:
$ pip install jsbeautifier
$ js-beautify file.js
La sortie embellie va à stdout
.
Utiliser jsbeautifier
comme bibliothèque est simple:
import jsbeautifier
res = jsbeautifier.beautify('your javascript string')
res = jsbeautifier.beautify_file('some_file.js')
... ou, pour spécifier certaines options:
opts = jsbeautifier.default_options()
opts.indent_size = 2
res = jsbeautifier.beautify('some javascript', opts)
Si vous souhaitez passer une chaîne au lieu d'un nom de fichier et que vous utilisez bash, vous pouvez utiliser la substitution de processus comme suit:
$ js-beautify <(echo '{"some": "json"}')
alias jsonp='pbpaste | python -m json.tool'
Ce sera assez imprimer JSON qui est sur le presse-papiers dans OSX. Il suffit de le copier, puis d’appeler l’alias à partir d’une invite Bash.
Vous pouvez diriger la sortie vers jq
. Si vous python contient quelque chose comme
print json.dumps(data)
alors vous pouvez tirer:
python foo.py | jq '.'
Première installation de pygments
puis
echo '<some json>' | python -m json.tool | pygmentize -l json
Utiliser la bibliothèque d'outils python
Ligne de commande: python -mjson.tool
Vos données sont mal formées. Les champs de valeur en particulier comportent de nombreux espaces et de nouvelles lignes. Les formateurs automatisés ne fonctionneront pas, car ils ne modifieront pas les données réelles. Lorsque vous générez les données pour la sortie, filtrez-les au besoin pour éviter les espaces.
Avec jsonlint (comme xmllint):
aptitude install python-demjson
jsonlint -f foo.json