G.O.D Framework

Documentation: ai_visual_dashboard.py

Interactive and real-time visual dashboards tailored for AI monitoring and data insights.

Introduction

The ai_visual_dashboard.py script is a key visualization layer within the G.O.D Framework. It enables teams to visualize, monitor, and analyze complex AI operations and data in real time. This script leverages visual representation to enhance clarity and decision-making.

Purpose

This script aims to deliver:

Key Features

Logic and Implementation

The script bridges data sources with interactive interfaces to provide meaningful insights. Below is a Python implementation excerpt:


from flask import Flask, jsonify, render_template
from data_handler import fetch_dashboard_metrics

app = Flask(__name__)

@app.route("/")
def home():
    """
    Render the visual dashboard homepage.
    """
    return render_template("dashboard.html")

@app.route("/metrics", methods=["GET"])
def metrics():
    """
    Fetch and return metrics for the dashboard.

    Returns:
        JSON: Latest metrics for visual components.
    """
    try:
        data = fetch_dashboard_metrics()
        return jsonify({"status": "success", "data": data})
    except Exception as e:
        return jsonify({"status": "error", "message": str(e)})

if __name__ == "__main__":
    # Runs the server for the dashboard.
    app.run(host="0.0.0.0", port=5000)

Here, we use a lightweight Python Flask app to host the dashboard interface and fetch data for visual components via APIs.

Dependencies

Integration with the G.O.D Framework

The ai_visual_dashboard.py script integrates seamlessly with multiple modules:

Future Enhancements