PR-CYBR-USER-FEEDBACK-AGENT

PR-CYBR-USER-FEEDBACK-AGENT

Overview

The PR-CYBR-USER-FEEDBACK-AGENT collects, processes, and analyzes user feedback to improve the PR-CYBR ecosystem. This agent empowers developers with actionable insights from user interactions and feedback channels.

Key Features

• Feedback Collection: Aggregates feedback from multiple sources, including surveys, feedback forms, and direct submissions.
• Sentiment Analysis: Applies natural language processing to assess user sentiment and prioritize critical issues.
• Actionable Insights: Generates reports to guide development priorities and enhance user satisfaction.
• Integration Support: Easily integrates with tools like GitHub Issues, Jira, and Slack for seamless feedback management.
• Customizable Pipelines: Adapts feedback analysis workflows to meet specific project needs.

Getting Started

Prerequisites

• Git: For cloning the repository.
• Python 3.8+: Required for running scripts.
• Docker: Required for containerization and deployment.
• Access to GitHub Actions: For automated workflows.

Local Setup

To set up the PR-CYBR-USER-FEEDBACK-AGENT locally on your machine:

1. Clone the Repository

git clone https://github.com/PR-CYBR/PR-CYBR-USER-FEEDBACK-AGENT.git
cd PR-CYBR-USER-FEEDBACK-AGENT

1. Run Local Setup Script

./scripts/local_setup.sh

This script will install necessary dependencies and set up the local environment.

1. Provision the Agent

./scripts/provision_agent.sh

This script configures the agent with default settings for local development.

Cloud Deployment

To deploy the agent to a cloud environment:

1. Configure Repository Secrets

• Navigate to Settings > Secrets and variables > Actions in your GitHub repository.
• Add the required secrets:
  • CLOUD_API_KEY
  • DOCKERHUB_USERNAME
  • DOCKERHUB_PASSWORD
  • Any other cloud-specific credentials.

1. Deploy Using GitHub Actions

• The deployment workflow is defined in .github/workflows/docker-compose.yml.
• Push changes to the main branch to trigger the deployment workflow automatically.

1. Manual Deployment

• Use the deployment script for manual deployment:

./scripts/deploy_agent.sh

• Ensure you have Docker and cloud CLI tools installed and configured on your machine.

Integration

The PR-CYBR-USER-FEEDBACK-AGENT integrates with other PR-CYBR agents to enhance the overall user experience. It communicates with:

• PR-CYBR-FRONTEND-AGENT: Collects feedback through frontend interfaces like forms and chatbots.
• PR-CYBR-BACKEND-AGENT: Processes feedback data and stores it securely.
• PR-CYBR-DATA-INTEGRATION-AGENT: Integrates feedback data with other datasets for comprehensive analysis.
• PR-CYBR-MGMT-AGENT: Provides insights and reports to inform decision-making.

Usage

• Development

  • Start the feedback collection services:

python setup.py develop

• Configure data sources and processing parameters in the config/ directory.

• Testing

  • Run tests to ensure functionality:

python -m unittest discover tests

• Building for Production

  • Build the agent for production use:

python setup.py install

License

This project is licensed under the MIT License. See the LICENSE file for details.

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For more information, refer to the PR-CYBR-FEEDBACK-AGENT Documentation or contact the PR-CYBR team.

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