Fluxora

Energy Forecasting & Optimization Platform

Fluxora is an advanced energy forecasting and optimization platform that leverages machine learning to predict energy consumption patterns and optimize resource allocation. The system helps utilities, grid operators, and energy managers make data-driven decisions for improved efficiency and sustainability.

Table of Contents

• Project Structure
• Features
• Tech Stack
• Quick Start
• Installation
• API Reference
• Monitoring Stack
• Testing
• CI/CD Pipeline
• Documentation
• Contributing
• License

Project Structure

The project follows a modular and domain-driven structure to ensure maintainability and scalability.

├── code/ # Core backend logic, services, and shared utilities ├── docs/ # Project documentation ├── infrastructure/ # DevOps, deployment, and infra-related code ├── mobile-frontend/ # Mobile application ├── web-frontend/ # Web dashboard ├── scripts/ # Automation, setup, and utility scripts ├── LICENSE # License information └── README.md # Project overview and instructions

Features

• Energy Consumption Forecasting: Predict energy usage patterns with high accuracy
• Anomaly Detection: Identify unusual consumption patterns and potential issues
• Resource Optimization: Optimize energy distribution and resource allocation
• Real-time Monitoring: Track energy usage and system performance in real-time
• Interactive Dashboards: Visualize data and insights through intuitive interfaces
• API Integration: Connect with existing energy management systems
• Mobile Access: Monitor and manage on the go with mobile application
• Alerting System: Receive notifications for critical events and anomalies

Tech Stack

Fluxora is built on a modern, robust, and scalable technology stack.

Component	Technology	Role
Backend API	Python, FastAPI, Uvicorn	High-performance API for serving predictions and data
Machine Learning	TensorFlow, XGBoost, Prophet	Core forecasting and anomaly detection models
MLOps	MLflow, Optuna, DVC, Prefect	Model tracking, hyperparameter tuning, data versioning, and workflow orchestration
Feature Store	Feast	Managing, serving, and versioning machine learning features
Frontend	Node.js (Web & Mobile)	Interactive web dashboard and mobile application
Database	PostgreSQL, Redis	Persistent data storage and caching/session management
Infrastructure	Docker, Kubernetes, Terraform	Containerization, orchestration, and Infrastructure as Code

Quick Start

# Clone the repository
git clone https://github.com/quantsingularity/fluxora.git
cd fluxora

# Set up environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

# Start the development server
python src/api/main.py

Once running, access the dashboard at http://localhost:8000

Installation

Prerequisites

• Python 3.9+
• Docker and Docker Compose
• Node.js 16+ (for web frontend)
• PostgreSQL 13+
• Redis

Using Docker

# Build and start all services
docker-compose up -d

# Access the dashboard
open http://localhost:8000

Manual Installation

1. Set up the backend:

cd src
pip install -r requirements.txt
python -m api.main

2. Set up the web frontend:

cd web-frontend
npm install
npm start

3. Set up the mobile app:

cd mobile-frontend
npm install
npx expo start

API Reference

Authentication

curl -X POST http://api/auth/token \
  -H "Content-Type: application/json" \
  -d '{
    "username": "user@example.com",
    "password": "secure_password"
  }'

Prediction Endpoint

curl -X POST http://api/predict \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $SECRET_KEY" \
  -d '{
    "timestamp": "2023-08-15T14:00:00",
    "meter_id": "MT_001",
    "historical_load": [0.45, 0.48, 0.52]
  }'

Data Retrieval

curl -X GET http://api/data/consumption \
  -H "X-API-Key: $SECRET_KEY" \
  -G --data-urlencode "start_date=2023-08-01" \
  --data-urlencode "end_date=2023-08-15" \
  --data-urlencode "meter_id=MT_001"

Monitoring Stack

Fluxora includes a comprehensive monitoring stack:

Tool	Purpose	Access URL (Local)
Prometheus	Metrics collection and storage	N/A (Backend)
Grafana	Visualization and dashboards	http://localhost:3000
Alertmanager	Alert routing and notifications	N/A (Backend)
Loki	Log aggregation and querying	N/A (Backend)

Access the monitoring dashboard at http://localhost:3000 when running locally.

Testing

The project maintains comprehensive test coverage across all components to ensure reliability and accuracy.

Test Coverage

Component	Coverage	Status
API Services	89%	✅
Data Processing	85%	✅
ML Models	78%	✅
Frontend	80%	✅
Overall	83%	✅

Running Tests

# Run backend tests
cd src
pytest

# Run frontend tests
cd web-frontend
npm test

# Run integration tests
cd tests
pytest -m integration

CI/CD Pipeline

Fluxora uses GitHub Actions for continuous integration and deployment:

Stage	Control Area	Institutional-Grade Detail
Formatting Check	Change Triggers	Enforced on all push and pull_request events to main and develop
	Manual Oversight	On-demand execution via controlled workflow_dispatch
	Source Integrity	Full repository checkout with complete Git history for auditability
	Python Runtime Standardization	Python 3.10 with deterministic dependency caching
	Backend Code Hygiene	autoflake to detect unused imports/variables using non-mutating diff-based validation
	Backend Style Compliance	black --check to enforce institutional formatting standards
	Non-Intrusive Validation	Temporary workspace comparison to prevent unauthorized source modification
	Node.js Runtime Control	Node.js 18 with locked dependency installation via npm ci
	Web Frontend Formatting Control	Prettier checks for web-facing assets
	Mobile Frontend Formatting	Prettier enforcement for mobile application codebases
	Documentation Governance	Repository-wide Markdown formatting enforcement
	Infrastructure Configuration	Prettier validation for YAML/YML infrastructure definitions
	Compliance Gate	Any formatting deviation fails the pipeline and blocks merge

Documentation

Document	Path	Description
README	README.md	High-level overview, project scope, and repository entry point
Installation Guide	INSTALLATION.md	Step-by-step installation and environment setup
API Reference	API.md	Detailed documentation for all API endpoints
CLI Reference	CLI.md	Command-line interface usage, commands, and examples
User Guide	USAGE.md	Comprehensive end-user guide, workflows, and examples
Architecture Overview	ARCHITECTURE.md	System architecture, components, and design rationale
Configuration Guide	CONFIGURATION.md	Configuration options, environment variables, and tuning
Feature Matrix	FEATURE_MATRIX.md	Feature coverage, capabilities, and roadmap alignment
Contributing Guidelines	CONTRIBUTING.md	Contribution workflow, coding standards, and PR requirements
Troubleshooting	TROUBLESHOOTING.md	Common issues, diagnostics, and remediation steps

License

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