delpha-db-manager 1.2.1

Delpha Database Management System

DelphaDBManagement

Management API for Delpha to work around Data inside the Cassandra Cluster

This repository is python based yet, to be open to other languages (Java, JavaScript, ...) Module to handle DB Managmenet on our Cassandra Cluster.

Security Objectives

Need a really secure way to handle data :

Private Keys will be generated by Delpha only and will be stored inside an authentication table inside Cassandra. Users will need to match a given private key to access the DBMS. This key will be bound to the dedicated organisation, and only one Private Key will be tagged as Admin and unlock all the DBMS access.

Installation

Requirements

Python : >3.8 cassandra-driver simple-salesforce requests boto3

Install Dependencies

Common

pip install -r requirements.txt

Salesforce Manager

Salesforce Data Manager using Salesforce API.

• Parameter : instance_name: Salesforce Instance name
• Parameter : client_id: Consumer ID for authorized app
• Parameter : client_secret: Consumer Secret for authorized app
• Parameter : username: usernam to login to Instance of Salesforce
• Parameter : param password: password to login to Instance of Salesforce
• Parameter : param security_token: User's security token

sf_manager = SalesforceManager(instance_name, consumer_key, consumer_secret, salesforce_username, salesforce_pwd, personnal_token)
sf_manager.help()
res, size = sf_manager.query("SELECT Name from Contact")

Cassandra Manager

Cassandra Database manager : CassandraManager.

• Parameter : pem_file_path: String path of the .pem file to use for 2FA connection
• Parameter : config_file_path: String path of the .yalk file to use to get credentials
• Parameter : key_space: String session keyspace to set for the Cluster

cass_cluster = CassandraManager(key_file_path, pem_file_path, "delpha_actions")
cass_cluster.execute("SELECT * FROM actions_conv_by_user").all()

Dictionnary part of Cassandra Database manager : DictionaryManager.

manager = DictionaryManager(cass_cluster)
manager.list_tables

['keyspace1', 'keyspace2', ...]

AppFlow Manager

Delpha AWS data Handler (AppFlows) : AppFlowManager.

• Parameter : key: String AWS key
• Parameter : secret: String AWS secret
• Parameter : flow_type: String Flow type to handle ['contact', 'account']
• Parameter : bucket_name: String to use specific bucket
• Parameter : region: String AWS region

handler = AppFlowManager(aws_key_id, aws_secret, bucket_name,'contact') #Setup contact Flow (contact dataset)
df = handler.get_flow_parquet_data()

flow_status, flow_last_execution_record = handler.start_flow(flow_name) #Start flow on AWS side

handler.ensure_spark_format(flow_name) #Check if data is in right format (.parquet)

handler.get_last_flow_id(flow_name) #Get last folder Name in bucket for specific flow.

S3 Manager

Delpha AWS data Handler (AppFlows) : S3Manager.

• Parameter : key: String AWS key
• Parameter : secret: String AWS secret
• Parameter : region: String AWS region

S3 = S3Manager(aws_key_id, aws_secret, region) #Setup contact Flow (contact dataset)
df = S3.buckets

flow_status, flow_last_execution_record = handler.start_flow(flow_name) #Start flow on AWS side

handler.ensure_spark_format(flow_name) #Check if data is in right format (.parquet)

handler.get_last_flow_id(flow_name) #Get last folder Name in bucket for specific flow.

How to - Pip publish package

python setup.py sdist bdist_wheel
twine upload dist/*

License