Ostray

Ostray is a dynamic workflow management system for handling leads, featuring modules for workflow definition, lead simulation, processing, and logging.

Installation

1. Clone the repository:

   git clone https://github.com/Vwake04/ostray.git
   cd ostray

2. Install dependencies:

   pip install -e .

Running Tests

1. Install pytest if not already installed:

   pip install pytest

2. Run the tests:

   pytest

Usage

1. Define Workflows: Create a workflows_config.json file with your workflow configurations. Example:

   {
     "workflows": [
       {
         "lead_source": "Salesforce",
         "persona": {
           "name": "GPT-3",
           "description": "AI Sales Agent"
         },
         "output_channel": "WhatsApp"
       }
     ]
   }

2. Run the Application: Use the following script to start the application:

   from ostray.config_loader import JSONConfigLoader
   from ostray.workflow import WorkflowManager
   from ostray.lead_processor import LeadProcessor
   from ostray.logger import Logger
   from ostray.lead import Lead
   
   # Load workflows from configuration
   config_loader = JSONConfigLoader('workflows_config.json')
   workflows = config_loader.load_config()
   workflow_manager = WorkflowManager()
   workflow_manager.load_workflows(workflows)
   
   # Process a lead
   logger = Logger('lead_processing.log')
   lead_processor = LeadProcessor(workflow_manager, logger)
   lead = Lead('Salesforce Lead', 'Salesforce')
   lead_processor.process_lead(lead)

Run the Simulator

python simulate.py

Project Structure

ostray/
├── ostray/
│ ├── init.py
│ ├── channel.py
│ ├── config_loader.py
│ ├── lead.py
│ ├── logger.py
│ ├── persona.py
│ ├── trigger.py
│ ├── workflow.py
├── tests/
│ ├── init.py
│ ├── test_config_loader.py
│ ├── test_integration.py
│ ├── test_lead_processor.py
│ ├── test_workflow_config_loader.py
│ ├── test_workflow_manager.py
├── README.md
├── .gitignore
├── simulate.py
└── pyproject.toml