| status | date | deciders |
|---|---|---|
accepted |
2023-09-15 |
Idealos |
The technical issue under consideration is the determination of the state of trips within our system. Specifically, we need to decide whether to rely solely on the trip's end date as the basis for determining its state, with the objective of simplifying state management and reducing the complexity associated with scheduling updates.
Our system manages a variety of trips, each with its own lifecycle and state. The accurate determination of a trip's state is crucial for various aspects, including reporting, user notifications, and business logic. Historically, we have relied on various criteria and complex state management mechanisms to determine trip states.
After careful analysis and discussion, it has been decided to rely primarily on the trip's end date as the primary factor for determining its state. This approach eliminates the need for complex state management and reduces the effort associated with scheduling updates. The decision encompasses the following considerations:
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Simplicity: Relying on the trip's end date simplifies the state determination process, making it more intuitive and easier to manage.
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Transparency: Using the end date as the basis for state determination provides transparency to users and developers, as it aligns with their natural understanding of a trip's lifecycle.
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Automation: State transitions can be automated based on the trip's end date, reducing the need for manual intervention and complex logic.
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Reduced Complexity: Eliminating the need for multiple criteria and intricate state management logic reduces code complexity, making the system more maintainable and less error-prone.
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Improved Performance: Simplified state determination typically results in faster processing and reduced computational overhead.
Implementing this approach has several consequences:
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Dependency on End Date Accuracy: The accuracy of trip end dates becomes critical, as it directly affects state determination. Measures should be in place to ensure that end dates are correctly recorded.
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Limited State Flexibility: While this approach simplifies state management, it may not accommodate complex state transitions or business rules that require consideration of other factors. In such cases, additional logic may be needed.
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Transition Predictability: Users and developers should be aware that state transitions are primarily determined by the end date, which may lead to predictability concerns if other factors are not considered.
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Data Integrity: Data integrity checks should be in place to validate that the end date is correctly recorded and that it aligns with the trip's actual conclusion.