jque 0.1.3

Query JSON in memory as though it were a Mongo database.

j q u e

Query JSON in memory as though it were a Mongo database

Installation

pip3 install jque

Usage

import jque

jque accepts a variety of inputs to the constructor.

Pass a list of dicts:

data = jque.jque([
    { "name": "john" }, 
    { "name": "paul" }, 
    { "name": "george" }, 
    { "name": "ringo" }
])

Pass a JSON filename:

DATAFILE = "~/my/big/data.json"
data = jque.jque(DATAFILE)

Now you can query this dataset using Mongo-like syntax:

>>> data.query({ "name": {"$neq": "paul"} })
[
    { "name": "john" },
    { "name": "george" }, 
    { "name": "ringo" }
]

Arguments to query:

Arg	Description
wrap (boolean : True)	Whether to wrap the resultant dataset in a new jque object. This allows chaining, like jque.query(...).query(...), if you're the sort of person to do that. Pass False to get back a list instead.

Another example!

data = jque.jque([{
    "_id": "ABC",
    "name": "Arthur Dent",
    "age": 42,
    "current_planet": "earth"
}, {
    "_id": "DE2",
    "name": "Penny Lane",
    "age": 19,
    "current_planet": "earth"
}, {
    "_id": "123",
    "name": "Ford Prefect",
    "age": 240,
    "current_planet": "Brontitall"
}])

teenage_earthlings = data.query({
    "current_planet": {"$eq": "earth"},
    "age": { "$lte": 20, "$gte": 10 }
})

Which returns:

[{
    "_id": "DE2",
    "name": "Penny Lane",
    "age": 19,
    "current_planet": "earth"
}]

Use Python lambdas as a filter:

>>> libraries = jque.jque([
...     {"name": "jque", "language": "Python"}, 
...     {"name": "react", "language": "node"}
... ])
>>> list(libraries.query({
...     'language': lambda x: x[:2] == "Py"
... }))
[{"name": "jque", "language": "Python"}]