The DataStore API

In couch- the db will look something like this:

Entity Document:

{
  "_id": "6",
  "_rev": "1-b6abf6d5d9f81c3ab2584c80c908e2ef",
  "name": "Clinic 6",
  "entity_type": "clinic",
  "last_updated_on": null,
  "created_on": "2011-03-23T13:17:02Z",
  "location": [
      "India",
      "Maharashtra",
      "Pune"
  ],
  "document_type": "Entity"
}

Data Record for the above Clinic entity:

{
  "_id": "d7b4f6c0be27491db152550d9717b2bb",
  "_rev": "1-bdbdb7534e0bfa82e0ce3ce5a47624ca",
  "last_updated_on": null,
  "created_on": "2011-03-23T13:17:02Z",
  "attributes": {
      "beds": "50",
      "arv": "150",
      "event_time": "2011-02-01 00:00:00"
  },
  "document_type": "DataRecord",
  "entity_backing_field": {
      "_data": {
          "_id": "3",
          "name": "Clinic 3",
          "entity_type": "clinic",
          "_rev": "1-4cec92743969fac322a435e72678885d",
          "last_updated_on": null,
          "created_on": "2011-03-23T13:17:02Z",
          "location": [
              "India",
              "Maharashtra",
              "Mumbai"
          ],
          "document_type": "Entity"
      }
  }
}

The entity_backing field is the record for the entity to which the data record belongs to.

Test cases for the same look at the test_data_record_api.py file