ent 0.2.0

ent
===

[](https://travis-ci.org/jreese/ent)


`ent` is a basic framework for generating attribute-based data structures from
dictionary-like data sources:

> from ent import Ent

> obj = Ent(foo='foo', bar=None)

> obj.foo
u'foo'

> obj.bar
None

`ent` can contain arbitrarily-nested hierarchies, as long as every node/leaf
is either a primitive type, or an ent:

> obj = Ent({
'foo': 'bar',
'list': [1, 2, 3, 4],
'inner': {
'foo': 'baz',
'bar': 'bang',
},
})

> obj.foo
u'bar'

> obj.list[2]
3

> obj.inner.foo
u'baz'

`ent` can be merged and diffed, and it will even enforce types when merging
keys that are shared:

> ent1 = Ent(foo=1, bar=True)

> ent2 = Ent(foo='hi', bar=False, goo='win')

> Ent.merge(ent1, ent2)
<Ent {'foo': 1, 'bar': False}>

> Ent.diff(ent1, ent2)
<Ent {'bar': False}>

`ent` even provides a stand-in for the `json` module to automatically convert
to and from Ent objects and raw JSON:

> from ent import json

> json.loads('{"foo": true, "bar": null}')
<Ent {'foo': True, 'bar': None}>

> json.dumps(Ent(foo=True, bar=None))
u'{"foo": true, "bar": null}'


why
---

When working with configs, or other content pulled from sources like JSON, it
can be really annoying to need to constantly use brackets to access nested
data structures.

Let's say we have a small JSON file containing my personal profile:

{
"name": "John Reese",
"urls": {
"blog": "https://noswap.com",
"github": "https://github.com/jreese",
"facebook": "https://www.facebook.com/nucleareclipse"
}
}

Now let's read in that data and print some of it out:

import json

with open(...) as f:
data = json.load(f)

name = data['name']
url = data['urls']['github']

We can do better:

from ent import json

with open(...) as f:
data = json.load(f)

name = data.name
url = data.urls.github


license
-------

ent is copyright 2015 John Reese, and is licensed under the MIT license.