Continuous Deployment & Improvement System

Source: docs/guides/CONTINUOUS_IMPROVEMENT.md

Continuous Deployment & Improvement System

Overview

This system provides automated continuous deployment, testing, and improvement for the AltSports platform. It simultaneously runs frontend and backend services while monitoring for errors and suggesting improvements.

Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚     Continuous Improvement Orchestrator             β”‚
β”‚                                                      β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚   Backend    β”‚              β”‚    Frontend     β”‚  β”‚
β”‚  β”‚  (FastAPI)   │◄────────────►│  (Streamlit)   β”‚  β”‚
β”‚  β”‚ Port: 8080   β”‚              β”‚  Port: 8501     β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜              β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β”‚         β”‚                              β”‚            β”‚
β”‚         β–Ό                              β–Ό            β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚        Service Monitor & Analyzer            β”‚  β”‚
β”‚  β”‚  β€’ Health checks every 30 seconds            β”‚  β”‚
β”‚  β”‚  β€’ Log scanning for errors                   β”‚  β”‚
β”‚  β”‚  β€’ Pattern recognition                        β”‚  β”‚
β”‚  β”‚  β€’ Improvement suggestions                    β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β”‚                      β”‚                              β”‚
β”‚                      β–Ό                              β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚         Iteration Reports (JSON)             β”‚  β”‚
β”‚  β”‚    output/continuous-improvement/            β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Quick Start

Option 1: Using the Shell Script (Recommended)

./run_continuous_improvement.sh

This will:

  • Check and install required dependencies
  • Start backend on port 8080
  • Start frontend on port 8501
  • Begin continuous monitoring loop

Option 2: Direct Python Execution

python continuous_deploy_test_improve.py

Option 3: Custom Configuration

# Check every 60 seconds instead of 30
python continuous_deploy_test_improve.py --interval 60
 
# Run for exactly 10 iterations then stop
python continuous_deploy_test_improve.py --max-iterations 10
 
# Combine both
python continuous_deploy_test_improve.py --interval 45 --max-iterations 20

What It Does

1. Service Management

Backend Service:

  • Starts FastAPI server on port 8080
  • Loads from apps/backend/server.py
  • Auto-reload enabled for development
  • Logs to apps/backend/backend.log

Frontend Service:

  • Starts Streamlit UI on port 8501
  • Loads from clients/streamlit-000-league-questionnaire-to-contract-termsheet-maged-with-backend/streamlit_app.py
  • Connects to backend at http://localhost:8080
  • Logs to clients/.../streamlit_app.log

2. Health Monitoring

Every interval (default: 30 seconds):

  • βœ… HTTP health checks to both services
  • πŸ“Š Response time tracking
  • πŸ” Log file scanning for errors
  • 🧠 Pattern recognition for common issues

3. Error Detection

Automatically detects:

  • Connection failures
  • Module import errors
  • Timeout issues
  • HTTP errors (404, 500, etc.)
  • Rate limiting problems
  • Exception tracebacks

4. Improvement Suggestions

For each error detected, provides:

  • Issue: What went wrong
  • Context: Error message and timestamp
  • Suggested Fix: Actionable recommendation
  • Service: Which service (frontend/backend)

5. Iteration Reports

Each iteration generates a detailed JSON report:

{
  "iteration": 1,
  "timestamp": "2025-10-01T10:30:00",
  "monitoring": {
    "backend_health": {
      "status": "healthy",
      "status_code": 200,
      "response_time": 0.045
    },
    "frontend_health": {
      "status": "healthy",
      "status_code": 200,
      "response_time": 0.123
    },
    "backend_errors": [],
    "frontend_errors": []
  },
  "improvements": []
}

Reports saved to: output/continuous-improvement/iteration_XXX.json

Common Error Patterns & Auto-Fixes

Error PatternDetected IssueSuggested Fix
connection refusedService not respondingCheck if service is running and port is correct
module not foundMissing dependencyInstall missing Python package
timeoutRequest timeoutIncrease timeout or optimize performance
rate limitAPI rate limitingAdd authentication token or implement backoff
500Server errorCheck backend logs for detailed error
404Endpoint not foundVerify API endpoint paths

Output Files

output/continuous-improvement/
β”œβ”€β”€ continuous_deploy.log        # Main orchestrator log
β”œβ”€β”€ iteration_001.json           # First iteration report
β”œβ”€β”€ iteration_002.json           # Second iteration report
└── iteration_XXX.json           # Subsequent iterations

apps/backend/
└── backend.log                  # Backend service log

clients/streamlit-000-league-questionnaire-to-contract-termsheet-maged-with-backend/
└── streamlit_app.log           # Frontend service log

Accessing the Services

While running:

Stopping the System

Press Ctrl+C to gracefully shutdown:

  • All services will be terminated
  • Final cleanup performed
  • No orphaned processes

Advanced Usage

Environment Variables

# Custom backend URL (if not using localhost)
export BACKEND_URL="https://your-backend.run.app"
 
# Run with custom settings
./run_continuous_improvement.sh

Debugging

# Check if services are running
ps aux | grep "uvicorn\|streamlit"
 
# View live logs
tail -f apps/backend/backend.log
tail -f clients/streamlit-*/streamlit_app.log
 
# Check iteration reports
cat output/continuous-improvement/iteration_001.json | jq

Integration with CI/CD

# Run 5 iterations as smoke test
python continuous_deploy_test_improve.py --max-iterations 5
 
# Exit code 0 = success, non-zero = failures detected
echo $?

Troubleshooting

Backend won't start

# Check backend dependencies
cd apps/backend
pip install -r requirements.txt
 
# Test backend manually
cd apps/backend
uvicorn server:app --port 8080

Frontend won't start

# Check frontend dependencies
cd clients/streamlit-000-league-questionnaire-to-contract-termsheet-maged-with-backend
pip install -r requirements.txt
 
# Test frontend manually
cd clients/streamlit-000-league-questionnaire-to-contract-termsheet-maged-with-backend
streamlit run streamlit_app.py

Port already in use

# Find process using port 8080 or 8501
lsof -i :8080
lsof -i :8501
 
# Kill the process
kill -9 <PID>

Development Workflow

  1. Start the continuous system: ./run_continuous_improvement.sh
  2. Make changes to frontend or backend code
  3. Services auto-reload (FastAPI reload + Streamlit watching)
  4. Monitor logs in terminal for detected errors
  5. Review iteration reports for improvement suggestions
  6. Apply fixes based on suggestions
  7. Repeat until all errors resolved

Benefits

βœ… Automated Testing: Continuous health checks without manual intervention βœ… Error Detection: Catches issues immediately as they occur βœ… Actionable Insights: Specific suggestions for each error type βœ… Historical Tracking: JSON reports for trend analysis βœ… Zero Downtime: Services stay running during monitoring βœ… Development Friendly: Auto-reload on code changes

Future Enhancements

  • Automated fix application
  • Integration with deployment pipeline
  • Slack/Discord notifications
  • Metrics dashboard (Grafana/Prometheus)
  • Load testing integration
  • Multi-environment support (dev/staging/prod)

License

Internal tool for AltSports development team.

Platform

Documentation

Community

Support

partnership@altsportsdata.comdev@altsportsleagues.ai

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