Given the current state of your project and the various tasks and features that need attention, it's essential to create a clear roadmap to prioritize your work effectively. Here's a structured approach to tackling the different aspects of your project:
Immediate Priorities
Fix Existing Failing Tests:
MultiDimensionalCacheTests.AddManyItems_PartitionsCorrectly(): Investigate and fix the issue. Since it's related to optimization for the ChessStateExplorer, it's crucial for performance improvements.
TestAnalyzer.MethodsNeedingTestShouldBeLessThan3(): This test indicates that there are too many methods needing tests. Start addressing the most critical ones as outlined previously.
Complete the Incomplete Ruleset:
Nuclear Horse Ruleset: This is a high-priority feature that needs to be finished. Completing this will enhance the game's depth and replayability.
Mid-Term Priorities
Implement AI Heuristics:
AI_Vs_AI Test Failure: Once the ruleset is completed, focus on implementing AI heuristics. This will make the game more challenging and engaging.
Optimize ChessStateExplorer:
ChessStateExplorer Optimization: Complete the optimization strategies and associated tests. This will significantly improve the performance of your engine.
Unit Tests for Python ETL Project:
ETL Project Tests: Implement a test suite for the Python ETL project to ensure that the conversion of PGN files into your engine's format is accurate and reliable.
Long-Term Priorities
Draw by Repetition:
Core Functionality Completion: Implement the draw by repetition rule, which is currently missing.
Expand Feature Set:
Backlog Items: Based on your prioritized backlog, start working on the next set of features and improvements as your current tasks are completed.
Detailed Roadmap Example
Week 1-2: Immediate Fixes and Critical Tests
Fix MultiDimensionalCacheTests.AddManyItems_PartitionsCorrectly()
Address the failing tests in TestAnalyzer.MethodsNeedingTestShouldBeLessThan3()
Start working on the most critical methods needing tests (e.g., AddActionInSequence, PlayActionSequence, Log)
Week 3-4: Complete Incomplete Ruleset
Finish the Nuclear Horse Ruleset
Write unit tests for the completed ruleset
Week 5-6: Implement AI Heuristics
Implement and test AI heuristics
Update AI_Vs_AI Test to pass
Week 7-8: Optimize ChessStateExplorer
Complete the optimization strategies
Write and run associated tests
Week 9-10: ETL Project Tests
Implement unit tests for the Python ETL project
Week 11-12: Draw by Repetition
Implement the draw by repetition rule
Week 13-Onwards: Backlog Items and Expansion
Start working on the next set of features and improvements from your backlog
Summary
By following this roadmap, you ensure that critical issues are addressed first, followed by the completion of high-priority features and optimizations. This structured approach helps maintain focus and progress while keeping the project manageable and organized. Good luck with your project! If you have any further questions or need additional assistance, feel free to ask.
Given the current state of your project and the various tasks and features that need attention, it's essential to create a clear roadmap to prioritize your work effectively. Here's a structured approach to tackling the different aspects of your project:
Immediate Priorities Fix Existing Failing Tests:
MultiDimensionalCacheTests.AddManyItems_PartitionsCorrectly(): Investigate and fix the issue. Since it's related to optimization for the ChessStateExplorer, it's crucial for performance improvements. TestAnalyzer.MethodsNeedingTestShouldBeLessThan3(): This test indicates that there are too many methods needing tests. Start addressing the most critical ones as outlined previously. Complete the Incomplete Ruleset:
Nuclear Horse Ruleset: This is a high-priority feature that needs to be finished. Completing this will enhance the game's depth and replayability. Mid-Term Priorities Implement AI Heuristics:
AI_Vs_AI Test Failure: Once the ruleset is completed, focus on implementing AI heuristics. This will make the game more challenging and engaging. Optimize ChessStateExplorer:
ChessStateExplorer Optimization: Complete the optimization strategies and associated tests. This will significantly improve the performance of your engine. Unit Tests for Python ETL Project:
ETL Project Tests: Implement a test suite for the Python ETL project to ensure that the conversion of PGN files into your engine's format is accurate and reliable. Long-Term Priorities Draw by Repetition:
Core Functionality Completion: Implement the draw by repetition rule, which is currently missing. Expand Feature Set:
Backlog Items: Based on your prioritized backlog, start working on the next set of features and improvements as your current tasks are completed. Detailed Roadmap Example Week 1-2: Immediate Fixes and Critical Tests Fix MultiDimensionalCacheTests.AddManyItems_PartitionsCorrectly() Address the failing tests in TestAnalyzer.MethodsNeedingTestShouldBeLessThan3() Start working on the most critical methods needing tests (e.g., AddActionInSequence, PlayActionSequence, Log) Week 3-4: Complete Incomplete Ruleset Finish the Nuclear Horse Ruleset Write unit tests for the completed ruleset Week 5-6: Implement AI Heuristics Implement and test AI heuristics Update AI_Vs_AI Test to pass Week 7-8: Optimize ChessStateExplorer Complete the optimization strategies Write and run associated tests Week 9-10: ETL Project Tests Implement unit tests for the Python ETL project Week 11-12: Draw by Repetition Implement the draw by repetition rule Week 13-Onwards: Backlog Items and Expansion Start working on the next set of features and improvements from your backlog Summary By following this roadmap, you ensure that critical issues are addressed first, followed by the completion of high-priority features and optimizations. This structured approach helps maintain focus and progress while keeping the project manageable and organized. Good luck with your project! If you have any further questions or need additional assistance, feel free to ask.