📈Optimization and Extension

Pathfinding Algorithms: This foundational implementation can be extended to include more sophisticated pathfinding algorithms, such as A* for better performance on large networks, or even machine learning models to predict and optimize for future costs.

Error Handling and Logging: In a production environment, the code should include robust error handling, logging, and potentially retry logic to handle network failures or other unforeseen issues.

Scalability Considerations: The graph data structure could be adapted to handle larger blockchain networks by using more efficient storage and retrieval mechanisms (e.g., adjacency lists in databases)

Further Enhancements

Dynamic Weight Updates: Integrate APIs to dynamically update the graph's edge weights based on live network conditions.

User Interface: Develop a UI component that allows users to visualize the optimal path and costs before executing a transaction.

Security Enhancements: Incorporate HTLCs directly into the transaction execution phase to ensure atomicity and security of crosschain transfers.

This implementation serves as a starting point and can be scaled up and optimized depending on the complexity and specific needs of the 1FUEL ecosystem.