openexcept 0.1.0

Automatic exception grouping using AI

OpenExcept

OpenExcept is an intelligent exception grouping library that uses machine learning to automatically categorize and group similar exceptions without manual rules.

Features

• 🤖 Automatic exception grouping using ML - no manual rules needed
• 🎯 Groups similar exceptions together based on semantic meaning
• 🔌 Easy integration with existing logging systems
• 🚀 Simple API for getting started quickly
• 🐳 Docker support for easy deployment

Installation

pip install openexcept

Quick Start

Docker Setup

To use OpenExcept with Docker:

1. Clone the repository:

   git clone https://github.com/OpenExcept/openexcept.git
   cd openexcept
   

2. Build and start the Docker containers:

   docker-compose up -d
   

   This will start two containers:

   • OpenExcept API server on port 8000
   • Qdrant vector database on port 6333

3. Install local dependencies

pip install -e .

4. You can now use the OpenExcept API at http://localhost:8000 You can now use it with an example as python examples/basic_usage.py

Basic Usage

from openexcept import OpenExcept

grouper = OpenExcept()

exceptions = [
    "Connection refused to database xyz123",
    "Connection refused to database abc987",
    "Divide by zero error in calculate_average()",
    "Index out of range in process_list()",
    "Connection timeout to service endpoint",
]

for exception in exceptions:
    group_id = grouper.group_exception(exception)

# When we get the top 1 exception group, it should return the group
# that contains "Connection refused to database xyz123" since it occurs the most
top_exception_groups = grouper.get_top_exception_groups(1)

Integrating with Existing Logger

You can easily integrate OpenExcept with your existing logging setup using the provided OpenExceptHandler:

import logging
from openexcept.handlers import OpenExceptHandler

# Set up logging
logger = logging.getLogger(__name__)
logger.addHandler(OpenExceptHandler())

# Now, when you log an error, it will be automatically grouped
try:
    1 / 0
except ZeroDivisionError as e:
    logger.error("An error occurred", exc_info=True)

This will automatically group exceptions and add the group ID to the log message.

For more detailed examples, check the examples/logger_integration.py in the project repository.

Documentation

For more detailed information, check out our API Documentation.

Contributing

We welcome contributions! Please see our Contributing Guide for more details.

License

This project is licensed under the AGPLv3 License - see the LICENSE file for details.