Will create a config file for project. Name of the file would be trueai_config.py.

file: trueai_config.py
 This file will contain all the config settings, related to the project. One of the main config settings, we will be storing
 is, the elasticsearch indexes we are using.  The value of the variable, depends on the environmental variable
 TRUEAI_ENVIRONMENT

 if getenv('TRUEAI_ENVIRONMENT', 'devel') == 'test':
   ELASTICSEARCH_TRUEAI_INDEX = 'test_trueai'
 else:
   ELASTICSEARCH_TRUEAI_INDEX = 'trueai'


 While registering a document class, to es document, we can do this.

 import trueai_config as config

 es_database_wrapper.register(Experiment, index=config.ELASTICSEARCH_TRUEAI_INDEX, doc_type='experiment')


 Advantages of the design:
 =============================
  One of the main advantages of this, design is its easy to create environments and can easily isolate them. For example.
  when running tests, we can set the environmental variable as test. In that way test data will be created in other index,
  oother than the index used in live or dev.