jsonquery-python

This is a Python implementation of JSON Query, a small, flexible, and expandable JSON query language.

Try it out on the online playground: https://jsonquerylang.org

Install

The library is not yet published and requires a manual build.

Use

from jsonquery import jsonquery
from pprint import pprint

data = {
    "friends": [
        { "name": "Chris", "age": 23, "city": "New York" },
        { "name": "Emily", "age": 19, "city": "Atlanta" },
        { "name": "Joe", "age": 32, "city": "New York" },
        { "name": "Kevin", "age": 19, "city": "Atlanta" },
        { "name": "Michelle", "age": 27, "city": "Los Angeles" },
        { "name": "Robert", "age": 45, "city": "Manhattan" },
        { "name": "Sarah", "age": 31, "city": "New York" }
    ]
}

# Get the array containing the friends from the object, filter the friends that live in New York,
# sort them by age, and pick just the name and age out of the objects.
output = jsonquery(data, """
    .friends 
        | filter(.city == "New York") 
        | sort(.age) 
        | pick(.name, .age)
""")
pprint(output)
# [{'age': 23, 'name': 'Chris'},
#  {'age': 31, 'name': 'Sarah'},
#  {'age': 32, 'name': 'Joe'}]

# The same query can be written using the JSON format instead of the text format.
# Note that the functions `parse` and `stringify` can be used
# to convert from text format to JSON format and vice versa.
pprint(jsonquery(data, [
    "pipe",
    ["get", "friends"],
    ["filter", ["eq", ["get", "city"], "New York"]],
    ["sort", ["get", "age"]],
    ["pick", ["get", "name"], ["get", "age"]]
]))
# [{'age': 23, 'name': 'Chris'},
#  {'age': 31, 'name': 'Sarah'},
#  {'age': 32, 'name': 'Joe'}]

Syntax

The JSON Query syntax is described on the following page: https://github.com/jsonquerylang/jsonquery?tab=readme-ov-file#syntax.

API

jsonquery

Compile and evaluate a JSON query.

Syntax:

jsonquery(data, query [, options])

Where:

• data is a JSON object or array
• query is a JSON query or string containing a text query
• options is an optional object which can have the following options:
  • functions an object with custom functions

Example:

from pprint import pprint
from jsonquery import jsonquery

input = [
    {"name": "Chris", "age": 23, "scores": [7.2, 5, 8.0]},
    {"name": "Joe", "age": 32, "scores": [6.1, 8.1]},
    {"name": "Emily", "age": 19},
]
query = ["sort", ["get", "age"], "desc"]
output = jsonquery(query)
pprint(output)
# [{'age': 32, 'name': 'Joe', 'scores': [6.1, 8.1]},
#  {'age': 23, 'name': 'Chris', 'scores': [7.2, 5, 8.0]},
#  {'age': 19, 'name': 'Emily'}]

compile

Compile a JSON Query. Returns a function which can execute the query repeatedly for different inputs.

Syntax:

compile(query [, options])

Where:

• query is a JSON query or string containing a text query
• options is an optional object which can have the following options:
  • functions an object with custom functions

The function returns a lambda function which can be executed by passing JSON data as first argument.

Example:

from pprint import pprint
from jsonquery import compile

input = [
    {"name": "Chris", "age": 23, "scores": [7.2, 5, 8.0]},
    {"name": "Joe", "age": 32, "scores": [6.1, 8.1]},
    {"name": "Emily", "age": 19},
]
query = ["sort", ["get", "age"], "desc"]
queryMe = compile(query)
output = queryMe(input)
pprint(output)
# [{'age': 32, 'name': 'Joe', 'scores': [6.1, 8.1]},
#  {'age': 23, 'name': 'Chris', 'scores': [7.2, 5, 8.0]},
#  {'age': 19, 'name': 'Emily'}]

parse

Parse a string containing a JSON Query into JSON.

Syntax:

parse(textQuery, [, options]) 

Where:

• textQuery: A query in text format
• options: An optional object which can have the following properties:
  • functions an object with custom functions
  • operators an object with the names of custom operators both as key and value

Example:

from pprint import pprint
from jsonquery import parse

text_query = '.friends | filter(.city == "new York") | sort(.age) | pick(.name, .age)'
json_query = parse(text_query)
pprint(json_query)
# ['pipe',
#  ['get', 'friends'],
#  ['filter', ['eq', ['get', 'city'], 'New York']],
#  ['sort', ['get', 'age']],
#  ['pick', ['get', 'name'], ['get', 'age']]]

stringify

Stringify a JSON Query into a readable, human friendly text format.

Syntax:

stringify(query [, options])

Where:

• query is a JSON Query
• options is an optional object that can have the following properties:
  • operators an object with the names of custom operators both as key and value
  • indentation a string containing the desired indentation, defaults to two spaces: " "
  • max_line_length a number with the maximum line length, used for wrapping contents. Default value: 40.

Example:

from jsonquery import stringify

jsonQuery = [
    "pipe",
    ["get", "friends"],
    ["filter", ["eq", ["get", "city"], "New York"]],
    ["sort", ["get", "age"]],
    ["pick", ["get", "name"], ["get", "age"]],
]
textQuery = stringify(jsonQuery)
print(textQuery)
# '.friends | filter(.city == "new York") | sort(.age) | pick(.name, .age)'

License

Released under the ISC license.