drops the *scheduler* database, resets schema

def reset_db():
    """ drops the *scheduler* database, resets schema """
    logger = get_logger(PROCESS_SCHEDULER)
    logger.info('Starting *scheduler* DB reset')

    ds = ds_manager.ds_factory(logger)
    ds._db_client.drop_database(settings.settings['mongo_db_name'])
    logger.info('*scheduler* db has been dropped')

    connection = ds.connection(COLLECTION_MANAGED_PROCESS)
    connection.create_index([(PROCESS_NAME, pymongo.ASCENDING)], unique=True)

    connection = ds.connection(COLLECTION_FREERUN_PROCESS)
    connection.create_index([(PROCESS_NAME, pymongo.ASCENDING), (ENTRY_NAME, pymongo.ASCENDING)], unique=True)

    connection = ds.connection(COLLECTION_UNIT_OF_WORK)
    connection.create_index([(PROCESS_NAME, pymongo.ASCENDING),
                             (TIMEPERIOD, pymongo.ASCENDING),
                             (START_ID, pymongo.ASCENDING),
                             (END_ID, pymongo.ASCENDING)], unique=True)

    connection = ds.connection(COLLECTION_LOG_RECORDING)
    connection.create_index([(PARENT_OBJECT_ID, pymongo.ASCENDING)], unique=True)

    # expireAfterSeconds: <int> Used to create an expiring (TTL) collection.
    # MongoDB will automatically delete documents from this collection after <int> seconds.
    # The indexed field must be a UTC datetime or the data will not expire.
    ttl_seconds = settings.settings['db_log_ttl_days'] * 86400     # number of seconds for TTL
    connection.create_index(CREATED_AT, expireAfterSeconds=ttl_seconds)

    for collection_name in [COLLECTION_JOB_HOURLY, COLLECTION_JOB_DAILY,
                            COLLECTION_JOB_MONTHLY, COLLECTION_JOB_YEARLY]:
        connection = ds.connection(collection_name)
        connection.create_index([(PROCESS_NAME, pymongo.ASCENDING), (TIMEPERIOD, pymongo.ASCENDING)], unique=True)

    # reset Synergy Flow tables
    db_manager.reset_db()
    logger.info('*scheduler* db has been recreated')