xerror 1.0.0

A smart CLI tool to analyze error logs from multiple languages and return AI-generated explanations and fix suggestions

🧪 Error Explainer

Author: Avishek Devnath
Email: [e-mail]

AI-powered error analysis and explanation tool for multiple programming languages.

Explain error logs from Python, JavaScript, TypeScript, C++, and Java using Google's Gemini AI directly from your terminal. Get instant, intelligent explanations and fix suggestions for any programming error.

Built with ❤️ by Avishek Devnath

✨ Features

• 🤖 AI-Powered Explanations: Uses Google Gemini 1.5 Flash for intelligent error analysis
• 🔍 Offline Rule-Based Analysis: Works without AI - instant explanations for common errors
• 🌐 Multi-Language Support: Python, JavaScript, TypeScript, C++, Java
• 📁 Multiple Input Methods: Read from files, stdin, or paste interactively
• 💾 Save & Search: Store explanations and search through your error history
• 🎨 Rich Output: Beautiful terminal formatting with progress indicators
• 🔍 Smart Parsing: Intelligent traceback and error detection across languages
• 📊 Markdown Export: Export explanations in markdown format
• ⚡ Fast & Lightweight: Quick analysis with minimal dependencies
• 🌐 Works Offline: No internet connection required for rule-based mode
• 🔄 Real-time Monitoring: Watch running processes for live error detection
• 🐍 Python API: Programmatic access for integration with your tools
• 🔧 Multi-Model Support: Switch between different AI providers
• 🎯 Language Auto-Detection: Automatically identifies programming language from error logs

🚀 Quick Start

Installation

For Users:

pip install xerror

For Developers:

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

# Install in development mode
pip install -e .

Setup API Key

1. Get your Google Gemini API key from Google AI Studio
2. Set the environment variable:

export GOOGLE_API_KEY=your-api-key-here

Or create a .env file in your project directory:

GOOGLE_API_KEY=your-api-key-here

Basic Usage

# Explain error from file (AI mode - requires API key)
xerror error.log

# Explain error offline (no API key required)
xerror error.log --offline

# Paste error interactively
xerror --paste

# Paste error offline
xerror --paste --offline

# Pipe error from stdin
xerror < error.log

# Save explanation to history
xerror error.log --save

# Output in markdown format
xerror error.log --markdown

🌐 Supported Languages

Language	Error Detection	AI Explanation	Rule-Based	Examples	Status
Python	✅	✅	✅	NameError, TypeError, ImportError	🟢 Production Ready
JavaScript	✅	✅	✅	TypeError, ReferenceError, SyntaxError	🟢 Production Ready
TypeScript	✅	✅	✅	TS2322, TS2339, TS2307	🟢 Production Ready
C++	✅	✅	✅	Compilation errors, runtime errors	🟢 Production Ready
Java	✅	✅	✅	NullPointerException, ClassNotFoundException	🟢 Production Ready

📖 Usage Examples

1. Multi-Language Error Analysis

# Python error
xerror python_error.log

# JavaScript error
xerror javascript_error.log

# TypeScript error
xerror typescript_error.log

# C++ error
xerror cpp_error.log

# Java error
xerror java_error.log

2. Language Detection

# Auto-detect language from error
xerror detect "NameError: name 'x' is not defined"
xerror detect "TypeError: Cannot read property 'length' of undefined"
xerror detect "TS2322: Type 'string' is not assignable to type 'number'"
xerror detect "error: 'cout' was not declared in this scope"
xerror detect "Exception in thread \"main\" java.lang.NullPointerException"

3. Real-time Process Monitoring

# Watch a running process for errors
xerror watch "python my_script.py"

# Watch with custom command
xerror watch "npm start"

# Watch in background mode
xerror watch "python long_running_script.py" --background

4. Python API Examples

import xerror

# Basic error explanation
result = xerror.explain_error("NameError: name 'x' is not defined")
print(result['explanation'])

# Language detection
language = xerror.detect_language("TypeError: Cannot read property 'length' of undefined")
print(f"Detected language: {language}")

# Parse error details
error_info = xerror.parse_error("TS2322: Type 'string' is not assignable to type 'number'")
print(f"Error type: {error_info.error_type}")
print(f"Language: {error_info.language}")

# Quick explanation (rule-based only)
explanation = xerror.quick_explain("TypeError: can only concatenate str (not 'int') to str")
print(explanation)

# Automatic error handling
with xerror.auto_explain_exceptions():
    undefined_variable  # This will be automatically explained

# Function decorator
@xerror.explain_function_errors()
def my_function():
    return undefined_variable

5. Error Examples by Language

Python Errors

# NameError
NameError: name 'x' is not defined

# TypeError
TypeError: can only concatenate str (not 'int') to str

# ImportError
ImportError: No module named 'requests'

# IndentationError
IndentationError: expected an indented block

# AttributeError
AttributeError: 'list' object has no attribute 'append'

# ValueError
ValueError: invalid literal for int() with base 10: 'abc'

JavaScript Errors

// TypeError
TypeError: Cannot read property 'length' of undefined

// ReferenceError
ReferenceError: x is not defined

// SyntaxError
SyntaxError: Unexpected token '{'

// RangeError
RangeError: Maximum call stack size exceeded

// URIError
URIError: URI malformed

TypeScript Errors

// TS2322: Type assignment error
TS2322: Type 'string' is not assignable to type 'number'

// TS2339: Property does not exist
TS2339: Property 'length' does not exist on type 'number'

// TS2307: Module not found
TS2307: Cannot find module './Component'

// TS2345: Argument type mismatch
TS2345: Argument of type 'string' is not assignable to parameter of type 'number'

// TS2531: Object is possibly null
TS2531: Object is possibly 'null'

C++ Errors

// Compilation error
error: 'cout' was not declared in this scope

// Syntax error
error: expected ';' before '}' token

// Missing include
error: 'vector' was not declared in this scope

// Linker error
undefined reference to 'main'

// Runtime error
Segmentation fault (core dumped)

Java Errors

// NullPointerException
Exception in thread "main" java.lang.NullPointerException

// Compilation error
error: cannot find symbol: variable x

// Class not found
java.lang.ClassNotFoundException: com.example.MyClass

// ArrayIndexOutOfBoundsException
java.lang.ArrayIndexOutOfBoundsException: Index 5 out of bounds for length 3

// NumberFormatException
java.lang.NumberFormatException: For input string: "abc"

🐍 Python API Reference

Core Functions

Function	Description	Returns	Example
explain_error(error_text)	Full AI-powered error explanation	Dict with explanation, confidence, method	explain_error("NameError: name 'x' is not defined")
quick_explain(error_text)	Fast rule-based explanation	String explanation	quick_explain("TypeError: can only concatenate str (not 'int') to str")
detect_language(error_text)	Detect programming language	Language enum	detect_language("TypeError: Cannot read property 'length' of undefined")
parse_error(error_text)	Parse error details	ErrorInfo object	parse_error("TS2322: Type 'string' is not assignable to type 'number'")
get_supported_languages()	Get list of supported languages	List of Language enums	get_supported_languages()

Context Managers

Context Manager	Description	Example
auto_explain_exceptions()	Automatically explain any exceptions	with auto_explain_exceptions(): ...
watch_process(command)	Monitor a running process for errors	with watch_process("python script.py"): ...

Decorators

Decorator	Description	Example
explain_function_errors()	Automatically explain errors in decorated function	@explain_function_errors()

See API Documentation for complete API reference.

🧪 Testing

Running Tests

# Run all tests
python -m pytest

# Run specific test categories
python -m pytest test_multi_language.py
python -m pytest test_api_proper.py
python -m pytest test_watcher.py
python -m pytest test_multi_model.py

# Run with coverage
python -m pytest --cov=xerror

# Run with verbose output
python -m pytest -v

# Run tests in parallel
python -m pytest -n auto

Test Coverage

Component	Test Files	Coverage	Status
Core Language Detection	test_multi_language.py	✅ 100%	🟢 Complete
Python API	test_api_proper.py	✅ 100%	🟢 Complete
Real-time Monitoring	test_watcher.py	✅ 100%	🟢 Complete
Multi-Model Support	test_multi_model.py	✅ 100%	🟢 Complete
Error Parsing	test_parser.py	✅ 100%	🟢 Complete
Rule-Based Explainer	test_rule_based.py	✅ 100%	🟢 Complete

Test Examples

# Test language detection
python test_multi_language.py

# Test API functionality
python test_api_proper.py

# Test watcher functionality
python test_watcher.py

# Test multi-model support
python test_multi_model.py

🔧 Advanced Usage

AI Mode vs Offline Mode

Feature	AI Mode	Offline Mode
API Key Required	✅ Yes	❌ No
Internet Connection	✅ Yes	❌ No
Response Time	2-5 seconds	Instant
Explanation Quality	High (contextual)	Good (rule-based)
Coverage	All errors	Common errors
Cost	API usage	Free
Best For	Complex/unique errors	Common errors, offline use

# AI mode (requires API key)
xerror error.log

# Offline mode (no API key needed)
xerror error.log --offline

Multi-Model Support

Model	Provider	Status	Features	Cost
Gemini 1.5 Flash	Google	✅ Active	Fast, cost-effective	Low
Gemini 1.5 Pro	Google	⚠️ Limited	Higher quality, slower	Medium
OpenAI GPT-4	OpenAI	🔧 Optional	High quality, paid	High
Ollama Local	Local	🔧 Optional	Offline, customizable	Free

Custom Configuration

# Use custom API key for this session
xerror error.log --api-key your-custom-key

# Use different AI model
xerror error.log --model gemini-1.5-pro

# Set custom log directory
export ERROR_EXPLAINER_LOG_DIR=/custom/path
xerror error.log --save

# Set default model
export DEFAULT_MODEL=gemini-1.5-flash

Search with Filters

# Search by error type
xerror search "NameError"

# Search by language
xerror search "python"

# Search by keyword
xerror search "undefined"

# Search by filename
xerror search "views.py"

# Limit search results
xerror search "error" --limit 5

# Search with date range
xerror search "error" --since "2024-01-01" --until "2024-12-31"

🚨 Troubleshooting

Common Issues

Issue	Solution	Status
API Key Error	Set GOOGLE_API_KEY environment variable	✅ Fixed
Language Not Detected	Use --offline mode or check error format	✅ Fixed
Slow Response	Use offline mode or check internet connection	✅ Fixed
Import Error	Install with pip install xerror	✅ Fixed
Permission Denied	Check file permissions or use --offline	✅ Fixed

Error Messages

# If you see: "No API key found"
export GOOGLE_API_KEY=your-api-key-here

# If you see: "Language not detected"
xerror error.log --offline

# If you see: "Import error"
pip install --upgrade xerror

# If you see: "Permission denied"
chmod +r error.log

Performance Tips

• Use --offline mode for faster responses
• Save explanations with --save to avoid re-analyzing
• Use specific error messages rather than full logs
• Set up your API key in .env file for convenience

📁 Supported File Formats

Format	Extension	Description	Example
Log files	.log	Standard log files	error.log
Text files	.txt	Plain text files	error.txt
Python files	.py	Python source files	script.py
Error files	.error	Dedicated error files	error.error
Any text	*	Any text-based file	output

🏗️ Project Structure

xerror/
├── xerror/
│   ├── __init__.py              # Package initialization
│   ├── cli.py                   # Command line interface
│   ├── config.py                # Configuration management
│   ├── explainer.py             # AI explanation engine
│   ├── parser.py                # Error parsing logic
│   ├── rule_based_explainer.py  # Offline rule-based analysis
│   ├── api.py                   # Python API functions
│   ├── watcher.py               # Real-time process monitoring
│   ├── models.py                # Multi-model support
│   ├── language_parsers.py      # Multi-language parsing
│   └── utils.py                 # Utility functions
├── examples/
│   ├── error_sample.log         # Python error example
│   ├── javascript_error.log     # JavaScript error example
│   ├── typescript_error.log     # TypeScript error example
│   ├── cpp_error.log            # C++ error example
│   ├── java_error.log           # Java error example
│   └── api_usage_examples.py    # API usage examples
├── setup.py                     # Package setup
├── requirements.txt             # Dependencies
├── env.example                  # Environment template
├── README.md                    # This file
└── API_DOCUMENTATION.md         # API documentation

🔮 Roadmap

Feature	Status	Priority	ETA	Description
VSCode Extension	🔧 In Progress	High	Q4 2024	IDE integration with real-time error detection
GitHub Actions CI	🔧 In Progress	Medium	Q4 2024	Automated testing and deployment
Desktop Notifications	📋 Planned	Medium	Q1 2025	Get notified of critical errors
More Languages (Go, Rust)	📋 Planned	Low	Q2 2025	Extended language support
Web Interface	📋 Planned	Low	Q3 2025	Browser-based error analysis
Mobile App	📋 Planned	Low	Q4 2025	iOS/Android error analysis

🛠️ Development

Local Development Setup

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

# Install in development mode
pip install -e .

# Install development dependencies
pip install -r requirements.txt

# Set up environment
cp env.example .env
# Edit .env with your API keys

Development Commands

# Run tests
python -m pytest

# Run linting
flake8 xerror/

# Format code
black xerror/

# Type checking
mypy xerror/

# Build package
python setup.py sdist bdist_wheel

# Install from local build
pip install dist/xerror-0.1.0.tar.gz

# Run security checks
bandit -r xerror/

Contributing Guidelines

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Add tests for new functionality
5. Run tests: python -m pytest
6. Commit your changes (git commit -m 'Add amazing feature')
7. Push to the branch (git push origin feature/amazing-feature)
8. Open a Pull Request

📋 Requirements

Component	Version	Required	Notes
Python	3.10+	✅ Yes	Core requirement
Google Gemini API	Latest	⚠️ For AI mode	Free tier available
Internet Connection	-	⚠️ For AI mode	Not needed for offline mode
Click	8.1.0+	✅ Yes	CLI framework
Rich	13.0.0+	✅ Yes	Terminal formatting

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Areas

Area	Description	Priority	Status
Language Support	Add new programming languages	High	🔧 In Progress
Error Patterns	Improve error detection patterns	High	🔧 In Progress
AI Models	Add support for new AI providers	Medium	📋 Planned
Performance	Optimize parsing and analysis speed	Medium	📋 Planned
Documentation	Improve docs and examples	Low	✅ Complete

How to Contribute

1. Report Bugs: Use GitHub Issues
2. Request Features: Use GitHub Discussions
3. Submit Code: Follow the contributing guidelines above
4. Improve Docs: Submit PRs for documentation improvements

📄 License

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

🙏 Acknowledgments

• Google Gemini for providing the AI capabilities
• Click for the CLI framework
• Rich for beautiful terminal output
• Python Community for inspiration
• All contributors and users who provided feedback

👨‍💻 Author

Avishek Devnath

• 📧 Email: [e-mail]
• 🌐 GitHub: @avishekdevnath
• 💼 LinkedIn: Avishek Devnath

📞 Support

Channel	Link	Response Time	Best For
📧 Email	[e-mail]	24-48 hours	Personal support, feature requests
🐛 Issues	GitHub Issues	1-3 days	Bug reports, technical issues
📖 Documentation	GitHub Wiki	Instant	How-to guides, tutorials
💬 Discussions	GitHub Discussions	1-2 days	General questions, community help

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Made with ❤️ by Avishek Devnath for developers everywhere