Modularize Flow To Isolate Pricing Logic
🧩 Refactor Request
The current implementation of the booking assistant flow has a tightly coupled pricing logic, which makes it challenging to A/B test, update pricing strategies, or swap models later. This integration makes it difficult to modify or replace the pricing logic without affecting the entire flow. As a result, the system becomes rigid and inflexible, hindering its ability to adapt to changing business needs.
The Problem with Tightly Coupled Pricing Logic
Tightly coupled pricing logic is a common issue in many software systems. When the pricing logic is deeply integrated with the booking assistant flow, it becomes a significant obstacle to making changes or updates. This is because any modifications to the pricing logic require a thorough understanding of the entire flow, which can be time-consuming and error-prone.
✅ Proposal
To address this issue, we propose creating a separate sub-flow or external node that handles the pricing logic. This sub-flow or node will be responsible for generating prices based on route, season, and time, as well as implementing promotional nudges and A/B logic. By isolating the pricing logic, we can make it easier to experiment with different pricing strategies, improve test coverage, and reduce the risk associated with adjusting pricing rules.
Benefits of Modular Pricing Logic
Modularizing the pricing logic offers several benefits, including:
- Easier to experiment with pricing strategies: With a separate sub-flow or node, we can easily test different pricing strategies without affecting the entire flow.
- Better test coverage: By isolating the pricing logic, we can write more targeted and effective tests, ensuring that the system behaves as expected under various scenarios.
- Lower risk when adjusting pricing rules: With a modular pricing logic, we can make changes to the pricing rules without affecting the entire flow, reducing the risk of unintended consequences.
🎯 Benefits in Detail
Let's dive deeper into the benefits of modular pricing logic:
Easier to Experiment with Pricing Strategies
Modular pricing logic makes it easier to experiment with different pricing strategies. With a separate sub-flow or node, we can quickly test and iterate on different pricing approaches without affecting the entire flow. This allows us to respond more quickly to changing market conditions and customer needs.
Better Test Coverage
By isolating the pricing logic, we can write more targeted and effective tests. We can focus on testing the pricing logic in isolation, ensuring that it behaves as expected under various scenarios. This improves the overall quality and reliability of the system.
Lower Risk when Adjusting Pricing Rules
Modular pricing logic reduces the risk associated with adjusting pricing rules. With a separate sub-flow or node, we can make changes to the pricing rules without affecting the entire flow. This reduces the risk of unintended consequences and ensures that the system behaves as expected.
🛠️ Suggested Labels
The following labels are suggested for this refactor:
refactorarchitecturefuture
📚 Conclusion
Modularizing the pricing logic is a crucial step in making the booking assistant flow more flexible and adaptable. By isolating the pricing logic, we can make it easier to experiment with different pricing strategies, improve test coverage, and reduce the associated with adjusting pricing rules. This refactor will help us create a more robust and maintainable system that can respond to changing business needs.
📝 Next Steps
The next steps for this refactor include:
- Creating a separate sub-flow or external node for the pricing logic
- Implementing price generation based on route, season, and time
- Implementing promotional nudges and A/B logic
- Writing targeted and effective tests for the pricing logic
- Iterating on the pricing logic to ensure it behaves as expected under various scenarios
🤔 Frequently Asked Questions
In this article, we'll address some of the most common questions related to modularizing the pricing logic in the booking assistant flow.
📝 Q1: Why is it necessary to modularize the pricing logic?
A1: Modularizing the pricing logic is necessary because it's tightly coupled with the booking assistant flow, making it difficult to A/B test, update pricing strategies, or swap models later. This integration makes it challenging to modify or replace the pricing logic without affecting the entire flow.
📝 Q2: What are the benefits of modular pricing logic?
A2: The benefits of modular pricing logic include:
- Easier to experiment with pricing strategies
- Better test coverage
- Lower risk when adjusting pricing rules
📝 Q3: How will modular pricing logic improve test coverage?
A3: Modular pricing logic will improve test coverage by allowing us to write more targeted and effective tests. We can focus on testing the pricing logic in isolation, ensuring that it behaves as expected under various scenarios.
📝 Q4: What is the risk associated with adjusting pricing rules, and how will modular pricing logic reduce it?
A4: The risk associated with adjusting pricing rules is that it may have unintended consequences on the entire flow. Modular pricing logic reduces this risk by allowing us to make changes to the pricing rules without affecting the entire flow.
📝 Q5: How will modular pricing logic make it easier to experiment with pricing strategies?
A5: Modular pricing logic will make it easier to experiment with pricing strategies by allowing us to quickly test and iterate on different pricing approaches without affecting the entire flow.
📝 Q6: What is the proposed architecture for modular pricing logic?
A6: The proposed architecture for modular pricing logic involves creating a separate sub-flow or external node that handles the pricing logic. This sub-flow or node will be responsible for generating prices based on route, season, and time, as well as implementing promotional nudges and A/B logic.
📝 Q7: How will the pricing logic be implemented in the new architecture?
A7: The pricing logic will be implemented in the new architecture using a combination of algorithms and data structures. The specific implementation details will depend on the requirements of the system and the desired level of complexity.
📝 Q8: What are the next steps for implementing modular pricing logic?
A8: The next steps for implementing modular pricing logic include:
- Creating a separate sub-flow or external node for the pricing logic
- Implementing price generation based on route, season, and time
- Implementing promotional nudges and A/B logic
- Writing targeted and effective tests for the pricing logic
- Iterating on the pricing logic to ensure it behaves as expected under various scenarios
📚 Conclusion
Modularizing the pricing logic is a crucial step in making the booking assistant flow more flexible and adaptable. By isolating the pricing logic, we can make it easier to experiment with different pricing strategies, improve test coverage, and reduce the risk associated with adjusting pricing rules. This refactor will help us create a more robust and maintainable system that can respond to changing business needs### 📝 Additional Resources
For more information on modularizing the pricing logic, please refer to the following resources:
By following these steps and resources, we can successfully implement modular pricing logic and improve the overall quality and reliability of the system.