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AquaGen API Documentation

Welcome to the comprehensive documentation for AquaGen API - an enterprise-grade Flask-based platform for water management and IoT device monitoring.

🚀 Quick Navigation​

Getting Started​

Architecture & Design​

Core Concepts​

API Reference​

📌 Note: For detailed API endpoints, parameters, and schemas, please refer to our Swagger Documentation.

This section focuses on complex use cases and report configurations:

Practical Guides​

Deployment​

Advanced Topics​

Development​

📊 Key Features​

Multi-Format Report Generation​

Generate water management reports in HTML, PDF, XLSX, and CSV formats with:

  • 8 report types (daily, monthly, hourly, granular, etc.)
  • 26 service categories (water, energy, level, quality, etc.)
  • Custom date ranges and filters
  • Shift-based reporting

Real-Time IoT Monitoring​

Monitor water resources with:

  • Flow meters and level sensors
  • Quality analyzers (pH, TDS, COD, BOD, DO, etc.)
  • Energy meters for pumps and treatment systems
  • Borewell and groundwater monitoring

AI-Powered Insights​

Leverage OpenAI GPT-4 for:

  • Automated data analysis
  • Anomaly detection
  • Predictive forecasting
  • Optimization recommendations

Advanced Alert System​

Multi-channel notifications via:

  • Email (SMTP)
  • SMS
  • Google Chat
  • Firebase push notifications

Water Balance Analysis​

Track sustainability with:

  • Consumption vs. availability analysis
  • Water neutrality index
  • Source-wise breakdown
  • Sustainability ratings

🏗️ Architecture at a Glance​

Layered Architecture:

Routes (33 files) → Services (40+ services) → Formatters (52 files) → Database

🎓 Learning Paths​

For New Users​

  1. Read Introduction
  2. Complete Getting Started
  3. Generate your first report: Report Generation Guide
  4. Explore Swagger API Documentation

For Developers​

  1. Understand Architecture Overview
  2. Study Project Structure
  3. Learn Adding Features
  4. Review Testing Guide

For DevOps Engineers​

  1. Follow Azure Setup Guide
  2. Configure Monitoring
  3. Implement Scaling Strategies
  4. Review Security Best Practices

For Data Scientists​

  1. Explore AI Integration
  2. Study Water Balance Analysis
  3. Review Quality Analysis
  4. Access data via API Reference

📚 Documentation Structure​

docs/
├── intro.md                          # Introduction
├── getting-started.md                # Getting started guide
│
├── architecture/                     # Architecture documentation
│   ├── overview.md
│   ├── components.md
│   ├── database.md
│   └── request-flow.md
│
├── core-concepts/                    # Core concepts
│   ├── reports.md
│   ├── services.md
│   ├── formatters.md
│   └── authentication.md
│
├── api-reference/                    # API reference (complex scenarios)
│   ├── user-api.md
│   ├── admin-api.md
│   ├── external-api.md
│   └── models.md
│
├── guides/                           # Practical guides
│   ├── report-generation.md
│   ├── batch-processing.md
│   ├── device-data.md
│   ├── alerts.md
│   └── automated-reports.md
│
├── deployment/                       # Deployment guides
│   ├── azure-setup.md
│   ├── configuration.md
│   ├── monitoring.md
│   ├── scaling.md
│   └── security.md
│
├── advanced/                         # Advanced topics
│   ├── ai-integration.md
│   ├── water-balance.md
│   ├── external-integrations.md
│   ├── quality-analysis.md
│   └── performance-optimization.md
│
└── development/                      # Development guides
    ├── project-structure.md
    ├── adding-features.md
    ├── testing.md
    ├── api-guidelines.md
    └── contributing.md

🔗 External Resources​

Azure Services​

Technologies​

🎯 Common Use Cases​

1. Daily Operations Report​

curl -X GET "https://api.aquagen.com/api/user/report?\
reportType=daily&reportFormat=pdf&service=water&startDate=09/11/2024" \
-H "Authorization: Bearer YOUR_TOKEN"

See: Report Generation Guide

2. Automated Monthly Billing​

Configure automated monthly reports with email delivery.

See: Automated Reports

3. Batch Processing for Multiple Units​

Generate reports for all units in parallel.

See: Batch Processing Guide

4. AI-Powered Executive Summary​

Get AI-generated insights and recommendations.

See: AI Integration

5. Real-Time Anomaly Detection​

Set up alerts for threshold violations.

See: Alerts Guide

💡 Tips & Best Practices​

For Report Generation​

  • ✅ Use PDF for distribution, XLSX for analysis, CSV for data export
  • ✅ Use monthly reports for billing, daily reports for operations
  • ✅ Use granular reports only for troubleshooting (high data volume)
  • ✅ Leverage shift-based reporting for operational alignment

For Performance​

  • 🚀 Use specific date ranges to reduce processing time
  • 🚀 Generate reports during off-peak hours
  • 🚀 Cache frequently accessed reports
  • 🚀 Use CSV format for large datasets

For Security​

  • 🔒 Never commit secrets to version control
  • 🔒 Use Azure Key Vault for all secrets
  • 🔒 Rotate JWT tokens regularly (4-hour lifetime)
  • 🔒 Enable IP whitelisting for production

For Development​

  • 🛠️ Follow the layered architecture pattern
  • 🛠️ Write unit tests for new services
  • 🛠️ Use type hints for better code quality
  • 🛠️ Log all errors with context

🤝 Getting Help​

Support Channels​

  • GitHub Issues: Report bugs and request features
  • Email Support: Contact the development team
  • Documentation: Search this documentation
  • Swagger: Interactive API testing

FAQ​

Q: How do I generate a report? A: See Report Generation Guide

Q: How do I set up automated reports? A: See Automated Reports

Q: How do I deploy to Azure? A: See Azure Setup Guide

Q: Where are the API endpoints documented? A: See Swagger Documentation for complete API reference

📄 License​

MIT License - See LICENSE file for details.

🚀 Ready to Get Started?​

  1. New to AquaGen? Start with Introduction
  2. Want to generate reports? Go to Report Generation Guide
  3. Need to deploy? Check Azure Setup
  4. Want to contribute? Read Contributing Guide

Built with ❤️ by Fluxgen Technologies

Last Updated: November 2024