indicted 0.0.2 (experimental)

Indexed Dictionary Class

}

If we access the subdata key in the root of this document we will be given an array when using standard Dict/List types.

```python [{u'_id': ObjectId('4f3eb7cac4f804960a859468'), u'bits': 1234.0},

{u'_id': ObjectId('4f3eb7cac4f804960a859469'), u'bits': 5678.0}]

```

Ideally we would want to return the list element that matches a specific _id if the list contains dictionaries that have a key matching that ObjectId. This is where indicted and Inist comes in. InDict is a simple Dict wrapper that uses InList for all list type values. As InList is initialized and modified it keeps an internal dictionary of _id references relating to list positions. An extra function called InList.find is used to pull out a referenced object if it finds one. None is returned otherwise.

```python import pprint import pymongo

from bson import ObjectId

from indicted import InDict

class MongoInDict(InDict):

INDEXCLASS = ObjectId INDEXKEY = '_id'

connection = pymongo.Connection(document_class=MongoInDict) database = connection.test

data = database.data.find_one()

pprint.pprint(data['subdata'].find(ObjectId('4f3eb7cac4f804960a859469'))) pprint.pprint(data['subdata'].find(ObjectId('000000000000000000000000'))) ```

Yields

`python {u'_id': ObjectId('4f3eb7cac4f804960a859469'), u'bits': 5678.0} None `

There is also indicted.OrderedInDict that inherits collections.OrderedDict. This is incredibly useful for maintaining the document key ordering of your documents.