Project Overview
Loggoo is a robust integration tool I developed to solve a common challenge in enterprise environments: keeping project management data synchronised across multiple platforms. This Python-based application creates a seamless bridge between Odoo (a popular ERP system) and issue tracking platforms like Azure DevOps and Gitea.
Technical Highlights
Key Features
- Automated Synchronisation: Maintains real-time consistency between Odoo tasks and external issue tracking systems
- Smart Duplicate Management: Implements intelligent detection and safe removal of duplicate entries
- Timesheet Integration: Streamlines timesheet management with automated description updates
- Secure Authentication: Implements JWT-based authentication with proper security practices
Technology Stack
- Backend: Python 3.x with FastAPI framework
- Authentication: JWT token-based system
- Integrations:
- Odoo API
- Azure DevOps API
- Gitea API
- Configuration: TOML-based settings with environment variable support
Development Challenges & Solutions
One of the main challenges was ensuring data consistency across different platforms while handling various edge cases. I implemented a robust synchronisation system that:
- Validates data integrity before any updates
- Handles network failures gracefully
- Provides detailed logging for troubleshooting
- Supports custom configuration for different project needs
Results & Impact
The tool significantly reduced manual data entry and synchronization errors, saving valuable time for project managers and team members. It’s particularly useful for organisations using Odoo alongside modern issue tracking systems.
Code Quality & Best Practices
- Implemented comprehensive error handling
- Followed security best practices for API key management
- Created detailed documentation
- Built with scalability in mind
- Used type hints and modern Python features
Lessons Learned
This project deepened my understanding of:
- Enterprise system integration patterns
- API security best practices
- Python best practices for large-scale applications
- The importance of robust error handling in integration systems