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Database connection creator

Convenient wrapper to create database connection engine based on the parameters passed. This engine can be used to run sql queries on the respective databases.

Install with pip

$ pip install DbConnection

Usage

  1. Import the library.

    from DbConnection.DbConnectionCreator import DbConnectionCreator
    
  2. Create an instance.

    sql_db_con = DbConnectionCreator(project_path="", logger=<your_logger_instance>, env="", db_library="").get_database_connection_object()
    

    Arguments (all are mandatory):

    • project_path: Project name, which would serve as the logger's name (if specified), and the prefix for log filenames.
    • logger: your Logger Instance
    • "env": Execution Environment
    • "env": select specifc library either 'sqlalchemy' and 'oracledb'
  3. create a connection string

    conn_string = sql_db_con.get_session_conn_string(self, test='local', co_name=None, 
                schema=False, vault_cred_dict=None, local_creds_json_file_with_path=None,
                 connection_keys_mapper_file_with_path=None)
    

    Arguments (all are mandatory):

    • test: 'local' or 'deploy' which says whether to run in local or deploy
    • co_name: 'AZURE' or 'Postgres' or 'CRM'. returns the respective connection string
    • schema: pass False as value to establish connection only to database and not schema
    • vault_cred_dict: dictionary which contains values read from vault secret paths
    • local_creds_json_file_with_path: json file which contains credentials in the same format as vault secret values
    • connection_keys_mapper_file_with_path: json file contains the specific creds keys to use for each co_name
  4. create an engine

    conn_engine = sql_db_con.create_eng(conn_string)
    

    Arguments (all are mandatory):

    • conn_string: connection string obtained in step 3
  5. create a session

    conn_session = sql_db_con.create_session(conn_string)
    

    Arguments (all are mandatory):

    • conn_string: connection string obtained in step 3

Author

© 2022, Mallikarjuna Devaraya.

Release files for DbConnection 0.0.4

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