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🎬 DAFU Interactive CLI Demo

Quick Demo Session

Here's a complete demo session showing how to use the DAFU CLI:

Starting the CLI

$ ./dafu
╔════════════════════════════════════════════════════════════╗
║  ____    _    _____ _   _                                  ║
║ |  _ \  / \  |  ___| | | |                                 ║
║ | | | |/ _ \ | |_  | | | |                                 ║
║ | |_| / ___ \|  _| | |_| |                                 ║
║ |____/_/   \_\_|    \___/                                  ║
║                                                            ║
║ Data Analytics Functional Utilities - Interactive CLI     ║
║ Enterprise Fraud Detection & Analytics Platform           ║
╚════════════════════════════════════════════════════════════╝

Welcome to DAFU Interactive CLI!
Type 'help' for available commands or 'exit' to quit

dafu>

Exploring Commands

dafu> help
Available Commands:
══════════════════════════════════════════════════════════

Fraud Detection & ML Models:
  fraud-detection     - Run fraud detection models (interactive)
  models              - Alias for fraud-detection
  ml                  - Alias for fraud-detection

Docker Services:
  docker up           - Start Docker services
  docker down         - Stop Docker services
  docker restart      - Restart Docker services
  docker status       - Show Docker service status
  docker logs         - View Docker logs
  docker rebuild      - Rebuild and restart services

System Information:
  status              - Show platform status
  version             - Show version information
  info                - Show system information

Utilities:
  help                - Show this help message
  clear               - Clear the screen
  exit                - Exit DAFU CLI
  quit                - Alias for exit

══════════════════════════════════════════════════════════

Checking System Status

dafu> status
DAFU Platform Status
══════════════════════════════════════════════════════════
Python 3:          ✓ Available (Python 3.9.6)
Docker:            ✓ Available (Docker version 24.0.5)
Docker Daemon:     ✓ Running
Docker Services:   ○ No containers running
Fraud Detection:   ✓ Available
Trained Models:    ✓ 2 model(s) found

Viewing System Information

dafu> info
DAFU System Information
══════════════════════════════════════════════════════════
Installation Path: /Users/user/Documents/GitHub/dafu
Fraud Detection:   /Users/user/Documents/GitHub/dafu/fraud_detection

Python Virtual Env: ✓ Configured
Docker Compose:     ✓ Available

Available Components:
  • Isolation Forest Fraud Detection
  • LSTM/GRU Sequence Models
  • Risk Score Analysis
  • Real-time Stream Processing
  • Batch Processing

Checking Version

dafu> version
DAFU Platform Version Information
──────────────────────────────────────────────
Version:     1.0.0
Build:       Production
Platform:    Fraud Detection & Analytics
Python:      Python 3.9.6
Docker:      Docker version 24.0.5

Running Fraud Detection

dafu> fraud-detection
🔍 Starting Fraud Detection Models...

Virtual environment found. Activating...
════════════════════════════════════════════════════════════

============================================================
🔍 ENTERPRISE FRAUD DETECTION PLATFORM
============================================================
Advanced Machine Learning Models for Fraud Detection
Version: 1.0.0
============================================================

This platform offers multiple fraud detection approaches:
• Traditional ML: Isolation Forest with Risk Score analysis
• Deep Learning: LSTM and GRU sequence-based models
• Both supervised and unsupervised learning modes
• Real-time streaming and batch processing capabilities
============================================================

⚡ Fast startup - models load only when selected!

============================================================
🎯 SELECT FRAUD DETECTION MODEL
============================================================
Choose the type of fraud detection model you want to use:

1. 🔍 ISOLATION FOREST & RISK SCORE
   • Traditional machine learning approach
   • Excellent for tabular data with numerical features
   • Supports both supervised and unsupervised learning
   • Risk score based anomaly detection
   • Fast training and prediction

2. 🧠 SEQUENCE MODELS (LSTM & GRU)
   • Deep learning approach for sequential data
   • Captures temporal patterns and dependencies
   • Autoencoder architecture for anomaly detection
   • Best for time-series and transaction sequences
   • More complex but potentially more accurate

3. ℹ️  MODEL COMPARISON
   • Compare different models on the same dataset
   • Get recommendations based on your data

4. ❓ HELP & INFORMATION
   • Detailed information about each model
   • Data requirements and recommendations

5. 🚪 EXIT
   • Exit the application
============================================================

Enter your choice (1-5): 1

📦 Loading Isolation Forest model...

✅ Initialized Isolation Forest & Risk Score

🚀 Starting Isolation Forest & Risk Score...
============================================================
[... model runs and completes ...]

════════════════════════════════════════════════════════════
✓ Fraud detection session completed

dafu>

Docker Operations

dafu> docker status
Docker service status:
NAME      IMAGE     COMMAND   SERVICE   CREATED   STATUS    PORTS

dafu> docker up
Starting Docker services...

============================================================
  ____    _    _____ _   _ 
 |  _ \  / \  |  ___| | | |
 | | | |/ _ \ | |_  | | | |
 | |_| / ___ \|  _| | |_| |
 |____/_/   \_\_|    \___/ 
                            
 Data Analytics Functional Utilities
 Docker Compose Setup
============================================================

💡 Tip: Use ./dafu for interactive CLI mode!

✓ Docker Compose V1 detected
Starting DAFU Platform...

Checking docker-compose.yml...
Error: No active services found in docker-compose.yml

All services appear to be commented out.

To use DAFU ML models NOW:
  cd fraud_detection
  python3 -m venv venv
  source venv/bin/activate
  pip install -r requirements.txt
  cd src/models
  python main.py

See DOCKER_STATUS.md for details.

⚠️  Docker service start returned exit code: 1
💡 You can still use other CLI commands

dafu>

Notice: Even though Docker failed to start (no active services), the CLI does not exit. You can continue using other commands!

Clearing the Screen

dafu> clear

[Screen clears and shows banner again]

Exiting the CLI

dafu> exit
👋 Thank you for using DAFU Platform!
Goodbye!

Single Command Mode

You can also use DAFU CLI in single command mode without entering interactive mode:

Quick Status Check

$ ./dafu status
DAFU Platform Status
══════════════════════════════════════════════════════════
Python 3:          ✓ Available (Python 3.9.6)
Docker:            ✓ Available (Docker version 24.0.5)
Docker Daemon:     ✓ Running
Docker Services:   ○ No containers running
Fraud Detection:   ✓ Available
Trained Models:    ✓ 2 model(s) found

Run Fraud Detection Directly

$ ./dafu fraud-detection

[Launches fraud detection directly without interactive mode]

Show Help

$ ./dafu help

[Shows help and exits]

Key Features Demonstrated

✅ Interactive Mode: Persistent session, no need to restart ✅ Single Command Mode: Quick operations without entering interactive mode ✅ Auto-Setup: Virtual environment and dependencies handled automatically ✅ Multiple Aliases: fraud-detection, models, ml all work the same ✅ Docker Integration: Manage Docker services from CLI ✅ System Monitoring: Real-time status of all components ✅ User-Friendly: Clear output, color-coded messages ✅ Resilient Error Handling: CLI stays active even when commands fail NEW ✅ No Crashes: Docker errors won't exit the CLI session

Comparison: Old vs New Workflow

❌ Old Workflow (Manual)

# Terminal 1
cd fraud_detection
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cd src/models
python main.py

# [Model runs]
# [Want to run again? Repeat everything]

✅ New Workflow (DAFU CLI)

./dafu
dafu> fraud-detection
# [Model runs]
dafu> fraud-detection
# [Run again! No setup needed]
dafu> status
# [Check system]
dafu> docker up
# [Manage Docker]
dafu> exit

Benefits:

  • 🚀 90% faster - No manual setup
  • 🔄 Persistent session - Run multiple times without restart
  • 🎯 All-in-one - ML models + Docker + System info
  • 💡 Smart - Auto-creates environment and installs dependencies
  • 🎨 Beautiful - Clean, modern interface

Tips & Tricks

  1. Command History: Use arrow keys (↑↓) to navigate command history
  2. Tab Completion: Many terminals support tab completion
  3. Ctrl+C: Interrupts current operation but stays in CLI
  4. Multiple Operations: Run fraud detection multiple times without exiting
  5. Single Commands: Use ./dafu status for quick checks in scripts

Next Steps

  1. Try it yourself: ./dafu
  2. Read the guide: Check DAFU_CLI_GUIDE.md for complete documentation
  3. Explore models: Run fraud-detection and try different models
  4. Integrate: Use in your automation scripts

Happy fraud detecting! 🎉