pam-python

pam-python is a framework designed to simplify the creation of data plugins for PAM Real CDP. These data plugins allow you to extend the capabilities of PAM CDP to process data in a fully customizable way. For example, you can create RFM segments, run analytics such as finding top spenders, and more.

Features

• Streamlined creation of data plugins for PAM Real CDP.
• Scaffolding for project and service structures.
• Built-in templates for rapid development.
• Command-line utility for managing projects and services.
• Easy-to-run testing for individual services.

Getting Started

Prerequisites

• Python 3.6 or later
• pip for package management

Installation

1. Create a new folder for your project

mkdir my_data_plugin
cd my_data_plugin

2. Set up a Python virtual environment

python3 -m venv venv
source venv/bin/activate

3. Install pam-python

pip install pam-python

Once installed, the pam command-line utility will be available.

Usage

1. Initialize a New Project

To initialize a new data plugin project, run:

pam init

This command will create the necessary files and structure for your project.

2. Add a New Service

Within your project, you can create multiple services. To add a new service, use:

pam new service <service_name>

This will create a folder named <service_name> containing the following: Basic template files to help you start developing your service.

3. Test a Service

To test a specific service, use:

pam test <service_name>

This command will automatically run all test files (*.test.py) associated with the specified service.

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Example Workflow

1. Initialize the project

pam init

2. Create a new service

pam new service RFMAnalysis

3.Customize the service by editing the generated templates in RFMAnalysis

4. Test the service

pam test RFMAnalysis