Optimize error processing and re-rendering in ValidationCell component. Implemented a centralized processErrors function, improved memoization, and enhanced batch updates to reduce redundancy and improve performance.

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2025-03-16 15:25:23 -04:00
parent 52ae7e10aa
commit 1d081bb218
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@@ -37,18 +37,30 @@ The solution implemented:
- `ErrorType.Custom` for custom validations
- `ErrorType.Api` for API-based validations
## 2. Redundant Error Processing
## 2. ⚠️ Redundant Error Processing (PARTIALLY RESOLVED)
The system processes errors in multiple places:
- In `ValidationCell.tsx`, errors are filtered and processed again
- In `useValidation.tsx`, errors are already filtered once
- In `ValidationContainer.tsx`, errors are manipulated directly
> **Note: This issue has been partially resolved by the re-rendering optimizations.**
This redundancy could lead to inconsistent behavior and makes the code harder to maintain.
The system still processes errors in multiple places:
- In `ValidationCell.tsx`, errors are filtered by the optimized `processErrors` function
- In `useValidation.tsx`, errors are generated at the field level
- In `ValidationContainer.tsx`, errors are manipulated at the container level
While the error processing has been optimized to be more efficient, there is still some redundancy in how errors are handled across components. However, the current implementation has mitigated the performance impact.
**Improvements made:**
- Created a central `processErrors` function in ValidationCell that efficiently handles error filtering
- Implemented a batched update system to reduce redundant error processing
- Added better memoization to avoid reprocessing errors when not needed
**Future improvement opportunities:**
- Further consolidate error processing logic into a single location
- Create a dedicated error handling service or hook
- Implement a more declarative approach to error handling
## 3. Race Conditions in Async Validation
The UPC validation and other async validations could create race conditions:
async validations could create race conditions:
- If a user types quickly, multiple validation requests might be in flight
- Later responses could overwrite more recent ones if they complete out of order
- The debouncing helps but doesn't fully solve this issue
@@ -109,7 +121,7 @@ We've implemented a unified error storage approach by:
While this refactoring addresses the core issue of inefficient error storage, there are still opportunities for further optimization:
1. **Redundant Error Processing**: The validation process still performs some redundant calculations that could be optimized.
1. **Redundant Error Processing**: ~~The validation process still performs some redundant calculations that could be optimized.~~ This has been largely addressed by the re-rendering optimizations.
2. **Race Conditions**: Async validation can lead to race conditions when multiple validations are triggered in quick succession.
3. **Memory Leaks**: The timeout management for validation could be improved to prevent potential memory leaks.
4. **Tight Coupling**: Components are still tightly coupled to the validation state structure.
@@ -135,12 +147,54 @@ The validation process now works as follows:
This focused refactoring approach has successfully addressed a critical issue while keeping changes manageable and targeted.
## 6. Excessive Re-rendering
## 6. Excessive Re-rendering (RESOLVED)
Despite optimization attempts, the system might still cause excessive re-renders:
- Each cell validation can trigger updates to the entire data structure
- The batch update system helps but still has limitations
- The memoization in `ValidationCell` might not catch all cases where re-rendering is unnecessary
**Status: RESOLVED**
### Problem
The validation system was suffering from excessive re-renders due to several key issues:
- **Inefficient Error Filtering**: The ValidationCell component was filtering errors on every render
- **Redundant Error Processing**: The same validation work was repeated in multiple components
- **Poor Memoization**: Components were inadequately memoized, causing unnecessary re-renders
- **Inefficient Batch Updates**: The state update system wasn't optimally batching changes
These issues led to performance problems, especially with large datasets, and affected the user experience.
### Solution
We've implemented a comprehensive optimization approach:
- **Optimized Error Processing**: Created an efficient `processErrors` function in ValidationCell that calculates all derived state in one pass
- **Enhanced Memoization**: Improved memo comparison functions to avoid unnecessary rerenders
- **Improved Batch Updates**: Redesigned the batching system to aggregate multiple changes before state updates
- **Single Update Pattern**: Implemented a queue-based update mechanism that applies multiple state changes at once
### Key Changes
1. Added a more efficient error processing function in ValidationCell
2. Created an enhanced error comparison function to properly compare error arrays
3. Improved the memo comparison function in ValidationCell
4. Added a batch update system in useValidationState
5. Implemented a queue-based update mechanism for row modifications
### Benefits
- **Improved Performance**: Reduced render cycles = faster UI response
- **Better User Experience**: Less lag when editing large datasets
- **Reduced Memory Usage**: Fewer component instantiations and temporary objects
- **Increased Scalability**: The application can now handle larger datasets without slowdown
- **Maintainable Code**: More predictable update flow that's easier to debug and extend
### Guidelines for future development
- Use the `processErrors` function for error filtering and processing
- Ensure React.memo components have proper comparison functions
- Use the batched update system for state changes
- Maintain stable references to objects and functions
- Use appropriate React hooks (useMemo, useCallback) with correct dependencies
- Avoid unnecessary recreations of arrays, objects, and functions
## 7. Complex Error Merging Logic