CallPyBack Documentation Wiki

Welcome to the comprehensive documentation for CallPyBack - an advanced Python callback decorator framework implementing formal design patterns for function observation and monitoring.

📚 Table of Contents

🎯 Getting Started

• Installation Guide
• Quick Start Tutorial
• Basic Examples
• Configuration Options

🏗️ Core Concepts

• Observer System - Understanding the observer pattern implementation
• State Machine - Execution flow and state transitions
• Error Handling - Exception management and recovery strategies
• Variable Extraction - Capturing function internals during execution

🔧 Built-in Features

• Observer Factory Functions - on_call, on_success, on_failure, etc.
• Built-in Observers - MetricsObserver, LoggingObserver, TimingObserver
• Time Sources - SystemTimeSource and MockTimeSource for testing
• Variable Extractors - TracingVariableExtractor and NoOpVariableExtractor

📊 Advanced Features

• Performance Monitoring - Real-time metrics and alerting
• Thread Safety - Concurrent execution and race condition detection
• Circuit Breaker Pattern - Fault tolerance and service protection
• Custom Observers - Building domain-specific monitors

🌐 Enterprise Features

• Production Patterns - Enterprise deployment strategies
• Security Auditing - Compliance and audit logging
• Distributed Systems - Microservices integration and tracing
• Error Handler Chains - Chain of responsibility pattern

🎯 Domain-Specific Use Cases

• Machine Learning Workflows - Training monitoring and model evaluation
• Financial Transaction Auditing - Compliance and fraud detection
• Web Application Monitoring - HTTP request/response tracking
• Database Operation Tracking - Query performance and audit

🧪 Testing and Development

• Testing with CallPyBack - Unit testing patterns and mocking
• Development Workflow - Contributing and best practices
• Performance Benchmarks - Overhead analysis and optimization

📖 API Reference

• Core API - CallPyBack decorator and main classes
• Observer API - Observer interfaces and base classes
• Context API - ExecutionContext and result objects
• Error Handling API - Exception management classes

🎨 Examples and Tutorials

• Real-World Examples - Production use cases
• Integration Examples - Flask, Django, FastAPI integration
• Custom Observer Tutorial - Step-by-step guide
• Troubleshooting Guide - Common issues and solutions

🚀 Quick Navigation

For Beginners

1. Start with Installation Guide
2. Follow the Quick Start Tutorial
3. Explore Basic Examples
4. Learn about Observer System

For Advanced Users

1. Review Performance Monitoring
2. Implement Custom Observers
3. Explore Production Patterns
4. Study Distributed Systems integration

For Enterprise Users

1. Review Security Auditing
2. Implement Error Handler Chains
3. Deploy with Production Patterns
4. Monitor with Performance Benchmarks

🔗 External Resources

• GitHub Repository: [CallPyBack on GitHub]
• PyPI Package: [CallPyBack on PyPI]
• Issue Tracker: [Report Issues]
• Discussions: [Community Discussions]

💡 Design Philosophy

CallPyBack is built on several key principles:

🎯 Formal Design Patterns

• Implements classical Gang of Four patterns correctly
• Observer pattern with proper decoupling
• Chain of responsibility for error handling
• State machine for execution flow management

🔒 Production Reliability

• Thread-safe by design
• Memory-efficient with weak references
• Error isolation and circuit breaker patterns
• Comprehensive audit logging

🧪 Testability

• Dependency injection for time sources
• Mock-friendly architecture
• Comprehensive test coverage
• Isolated component testing

⚡ Performance First

• Minimal overhead design
• Lazy evaluation where possible
• Efficient observer notification
• Scalable to thousands of observers

🌐 Enterprise Ready

• Security-conscious implementation
• Compliance and audit features
• Distributed systems support
• Production monitoring capabilities

📊 Architecture Overview

┌─────────────────────────────────────────────────────────────┐
│                    CallPyBack Decorator                     │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────────┐  ┌─────────────────┐  ┌──────────────┐ │
│  │  State Machine  │  │ Observer Manager│  │ Error Handler│ │
│  │                 │  │                 │  │    Chain     │ │
│  │ • INITIALIZED   │  │ • Add/Remove    │  │ • Timeout    │ │
│  │ • PRE_EXECUTION │  │ • Notify        │  │ • Validation │ │
│  │ • EXECUTING     │  │ • Error Isolate │  │ • Network    │ │
│  │ • POST_SUCCESS  │  │ • Thread Safe   │  │ • Business   │ │
│  │ • POST_FAILURE  │  │                 │  │ • Default    │ │
│  │ • COMPLETED     │  │                 │  │              │ │
│  │ • ERROR         │  │                 │  │              │ │
│  └─────────────────┘  └─────────────────┘  └──────────────┘ │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────────┐  ┌─────────────────┐  ┌──────────────┐ │
│  │Variable Extract │  │   Time Source   │  │  Observers   │ │
│  │                 │  │                 │  │              │ │
│  │ • Tracing       │  │ • System Time   │  │ • Built-in   │ │
│  │ • NoOp          │  │ • Mock Time     │  │ • Custom     │ │
│  │ • Null Objects  │  │ • Testable      │  │ • Domain     │ │
│  └─────────────────┘  └─────────────────┘  └──────────────┘ │
└─────────────────────────────────────────────────────────────┘

🎨 Color Coding for Documentation

Throughout this wiki, we use consistent color coding:

• 🔍 Blue: Core concepts and architecture
• 🚀 Green: Getting started and tutorials
• ⚡ Yellow: Performance and optimization
• 🔒 Red: Security and error handling
• 🌐 Purple: Distributed systems and enterprise
• 🧪 Orange: Testing and development
• 📊 Teal: Monitoring and observability

📝 Contributing to Documentation

We welcome contributions to improve this documentation:

1. Found an error? [Open an issue]
2. Want to add content? [Submit a pull request]
3. Have questions? [Start a discussion]
4. Need clarification? [Contact the maintainers]

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Happy observing with CallPyBack! 🎯