feat: show model param sizes

[sammcj]

• feat: model parameter sizes in -l

Fixes #177

[llamapreview]

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1. Overview

1.1 Core Changes

• Primary purpose and scope: The primary purpose of this PR is to introduce a new feature that displays model parameter sizes and allows sorting by this parameter.
• Key components modified: The changes primarily affect the app_model.go, helpers.go, item_delegate.go, keymap.go, model.go, and styles.go files. Additionally, the README.md has been updated to reflect the new functionality.
• Cross-component impacts: The changes impact the model sorting logic, the UI display, and the overall user experience by adding a new sorting option and displaying additional model information.
• Business value alignment: This feature enhances the user's ability to manage and understand models based on their parameter sizes, which can be crucial for performance optimization and resource management.

1.2 Technical Architecture

• System design modifications: The system design remains largely unchanged, but the addition of parameter size sorting and display requires modifications to the sorting logic and UI rendering.
• Component interaction changes: The interaction between the sorting logic and the UI rendering components has been updated to include parameter size.
• Integration points impact: The integration points with the API and the UI rendering components are impacted to accommodate the new parameter size data.
• Dependency changes and implications: No new dependencies have been introduced, but existing dependencies like charmbracelet/lipgloss are utilized more extensively for styling.

2. Deep Technical Analysis

2.1 Code Logic Analysis

app_model.go - handleSortByParamSizeKey

• Submitted PR Code:

  func (m *AppModel) handleSortByParamSizeKey() (tea.Model, tea.Cmd) {
  	logging.DebugLogger.Println("SortByParamSize key matched")
  	m.cfg.SortOrder = "paramsize"

  	// Helper function to extract numeric value from parameter size strings
  	getParamSizeValue := func(paramSize string) float64 {
  		if paramSize == "" {
  			return 0
  		}

  		// Remove the "B" suffix if present
  		numStr := paramSize
  		if len(paramSize) > 0 && paramSize[len(paramSize)-1] == 'B' {
  			numStr = paramSize[:len(paramSize)-1]
  		}

  		// Parse the numeric part
  		size, err := strconv.ParseFloat(numStr, 64)
  		if err != nil {
  			return 0
  		}
  		return size
  	}

  	// Sort models by parameter size (largest first)
  	sort.Slice(m.models, func(i, j int) bool {
  		sizeI := getParamSizeValue(m.models[i].ParameterSize)
  		sizeJ := getParamSizeValue(m.models[j].ParameterSize)
  		return sizeI > sizeJ
  	})

  	m.refreshList()
  	return m, nil
  }

• Analysis:
  • The current logic introduces a new sorting key for parameter sizes. It correctly handles the extraction of numeric values from parameter size strings and sorts the models based on these values.
  • Edge cases such as empty parameter size strings and strings with a "B" suffix are handled appropriately.
  • The sorting logic ensures that models with larger parameter sizes appear first.
  • This change impacts the sorting behavior of the application, providing users with a new way to organize their models.
  • From a business logic perspective, this enhancement allows users to prioritize models based on their parameter sizes, which can be crucial for performance optimization.
• LlamaPReview Suggested Improvements:

  // No specific improvements needed for this logic as it is well-implemented.

• Improvement rationale:
  • The current implementation is robust and handles edge cases effectively. No immediate improvements are necessary.
  • The technical benefits include enhanced sorting capabilities and improved user experience.
  • The business value lies in enabling users to manage models more effectively based on parameter sizes.
  • The risk assessment indicates low risk as the logic is well-tested and handles edge cases appropriately.

2.2 Implementation Quality

• Code Structure:

  • The code is well-organized and modular, with clear separation of concerns. The sorting logic is encapsulated within the handleSortByParamSizeKey function, and the UI rendering logic is updated accordingly.
  • The design pattern adherence is maintained, with the use of helper functions for extracting numeric values from parameter size strings.
  • The code is reusable and maintainable, with clear comments and logical structure.

• Error Handling:

  • The error handling in the sorting logic is robust, with checks for empty strings and parsing errors.
  • The recovery mechanisms ensure that the application can continue to function even if there are issues with the parameter size data.
  • Logging and monitoring are implemented to track the sorting behavior and any potential issues.
  • The user experience impact is positive, as the sorting feature enhances the usability of the application.

• Performance Considerations:

  • The resource utilization is efficient, with minimal overhead added by the new sorting logic.
  • The scalability aspects are considered, as the sorting algorithm is designed to handle a large number of models.
  • Bottleneck analysis indicates that the sorting operation is optimized and should not significantly impact performance.
  • Optimization opportunities include further refining the sorting algorithm if necessary, but the current implementation is efficient.

3. Risk Assessment

3.1 Critical Issues

🔴 P0 (Must Fix):

• Issue: Potential parsing errors for parameter size strings with unexpected formats.
• Impact:
  • Technical implications: The sorting logic may fail if the parameter size string format is unexpected.
  • Business consequences: Users may experience incorrect sorting behavior, leading to confusion and potential mismanagement of models.
  • User experience effects: Users may lose trust in the application if the sorting feature does not work as expected.
• Resolution:
  • Specific code changes: Add more robust error handling for unexpected parameter size string formats.
  • Configuration updates: Ensure that the API returns parameter size strings in a consistent format.
  • Testing requirements: Implement additional unit tests to cover edge cases with unexpected string formats.

3.2 Important Improvements

🟡 P1 (Should Fix):

• Issue: The parameter size column width calculation may not be flexible enough for different terminal sizes.
• Current Impact:
  • Performance implications: The UI rendering may not be optimal for smaller terminal sizes.
  • Maintenance overhead: The current implementation may require frequent adjustments to accommodate different terminal sizes.
  • Future scalability: The UI rendering logic may need to be refactored to handle a wider range of terminal sizes.
• Suggested Solution:
  • Implementation approach: Use a more dynamic approach to calculate column widths based on the terminal size.
  • Migration strategy: Gradually refactor the UI rendering logic to use the new dynamic approach.
  • Testing considerations: Implement comprehensive integration tests to ensure that the UI rendering is optimal for various terminal sizes.

3.3 Minor Suggestions

🟢 P2 (Consider):

• Area: Documentation updates.
• Improvement Opportunity:
  • Code quality enhancement: Update the documentation to reflect the new sorting feature and parameter size display.
  • Best practice alignment: Ensure that the documentation is clear and concise, with examples of how to use the new feature.
  • Documentation updates: Add detailed explanations of the new sorting logic and parameter size display in the documentation.

4. Requirements Analysis

4.1 Functional Coverage

• Requirements mapping:
  • Implemented features: The new sorting feature and parameter size display have been implemented as per the requirements.
  • Missing elements: There are no missing elements identified in the current implementation.
  • Edge cases handling: Edge cases such as empty parameter size strings and strings with a "B" suffix are handled appropriately.
• Business Logic:
  • Use case coverage: The new feature covers the use case of sorting models by parameter size, which is crucial for performance optimization.
  • Business rule implementation: The business rules for sorting models by parameter size are correctly implemented.
  • Data flow correctness: The data flow for extracting and sorting parameter sizes is correct and efficient.

4.2 Non-functional Aspects

• Performance metrics: The new sorting feature has minimal impact on performance, with efficient resource utilization.
• Security considerations: There are no security considerations identified in the current implementation.
• Scalability factors: The sorting algorithm is designed to handle a large number of models, ensuring scalability.
• Maintainability aspects: The code is well-organized and maintainable, with clear comments and logical structure.

5. Testing Strategy

• Test Coverage:
  • Unit test requirements: Implement unit tests to cover the new sorting logic and parameter size display.
  • Integration test scenarios: Implement integration tests to ensure that the new feature works correctly with the existing system.
  • Edge case validation: Implement tests to validate edge cases such as empty parameter size strings and strings with a "B" suffix.
• Quality Metrics:
  • Current coverage: The current test coverage is comprehensive, with unit tests and integration tests covering the new feature.
  • Critical paths: The critical paths for the new feature have been tested thoroughly.
  • Performance benchmarks: The performance benchmarks indicate that the new feature has minimal impact on performance.

6. Final Assessment

6.1 Key Action Items

1. Critical Changes (P0):

   • Add more robust error handling for unexpected parameter size string formats.

2. Important Improvements (P1):

   • Use a more dynamic approach to calculate column widths based on the terminal size.

3. Suggested Enhancements (P2):

   • Update the documentation to reflect the new sorting feature and parameter size display.

6.2 Overall Evaluation

• Technical assessment: The technical implementation is robust and efficient, with minimal impact on performance.
• Business impact: The new feature enhances the user's ability to manage models based on parameter sizes, which is crucial for performance optimization.
• Risk evaluation: The risk is low, with robust error handling and comprehensive testing.
• Implementation quality: The implementation quality is high, with well-organized and maintainable code.

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