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

Project description

j q u e

Query JSON in memory as though it were a Mongo database

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Usage

import jque

jque accepts a variety of inputs to the constructor.

Pass a list of dicts:

data = jque.jque([{ "name": "jque" }])

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": "numpy"} })

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.

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 }
})

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" }))

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