update the summary prompt for agent mode

[caohy1988]

Example summary

<analysis>
[Chronological Review: The conversation began with a user request to implement PR requirements for making Nominal scales behave like categorical scales in seaborn. The agent systematically explored the codebase, created reproduction scripts, implemented a fix in the _finalize_figure method, and validated the solution through comprehensive testing.]

[Intent Mapping: User requested implementation of PR requirements to make "Nominal scale should be drawn the same way as categorical scales" with three specific behaviors: 1) Scale drawn to +/- 0.5 from first/last tick, 2) Grid not shown, 3) Y-axis inverted when categorical is on Y-axis]

[Technical Inventory: Technologies involved include Python, seaborn, matplotlib, pandas, seaborn.objects (so), Nominal scales, categorical plotting, matplotlib axis units/grids, and git version control]

[Code Archaeology: Key files modified: /Users/someone/Projects/proj01/seaborn/_core/plot.py - added Nominal import and implemented categorical behavior logic in _finalize_figure method. Created multiple test scripts in tmp_swe_bench directory for validation.]

[Progress Assessment: Successfully implemented all three PR requirements - axis limits, grid disabling, and Y-axis inversion for Nominal scales. All tests pass and validate the implementation works correctly.]

[Context Validation: All critical implementation details captured, git changes tracked, comprehensive testing completed]

[Recent Commands Analysis: Most recent operations included final validation testing with pr_requirements_test.py showing all requirements met (✅ ALL REQUIREMENTS MET), followed by final git diff review showing the complete implementation changes]
</analysis>

<summary>
1. Conversation Overview:
- Primary Objectives: Implement PR requirements to make "Nominal scale should be drawn the same way as categorical scales" with three specific behaviors: (1) scale drawn to +/- 0.5 from first/last tick, (2) grid not shown even when style would show it, (3) Y-axis inverted when nominal scale is on Y-axis
- Session Context: User provided PR description for seaborn repository enhancement, agent systematically analyzed codebase, implemented solution, and validated through comprehensive testing
- User Intent Evolution: Clear and consistent goal throughout - implement the three distinctive categorical plotting behaviors for so.Nominal scales

2. Technical Foundation:
- Core Technology: Python 3.9 with seaborn statistical visualization library
- Framework/Library: matplotlib for underlying plotting, pandas for data handling, seaborn.objects (so) interface for declarative plotting
- Architectural Pattern: Modified Plotter._finalize_figure method to detect Nominal scales and apply categorical behaviors
- Environment Details: seaborn codebase in /Users/someone/Projects/proj01/ with git version control

3. Codebase Status:
- /Users/someone/Projects/proj01/seaborn/_core/plot.py:
  - Purpose: Core plotting engine containing Plot and Plotter classes
  - Current State: Modified to import Nominal scale and implement categorical behavior logic
  - Key Code Segments: Added Nominal scale detection in _finalize_figure method, axis limits setting logic for categorical-style ranges, grid disabling for nominal axes
  - Dependencies: Imports Scale and Nominal from seaborn._core.scales, uses matplotlib axis units and grid system

4. Problem Resolution:
- Issues Encountered: Initial implementation didn't work due to incorrect access to category count (tried 'registry' attribute instead of '_mapping'), pandas compatibility issues with test scripts
- Solutions Implemented: Found correct way to access category count via axis_obj.units._mapping, used robust error handling, implemented axis limits as (-0.5, n_categories-0.5) for X-axis and (n_categories-0.5, -0.5) for Y-axis (inverted)
- Debugging Context: Added debug prints to understand UnitData structure, discovered _mapping OrderedDict contains category mappings
- Lessons Learned: matplotlib's category system uses UnitData with _mapping attribute, Y-axis inversion achieved by reversing limit order

5. Progress Tracking:
- Completed Tasks: ✅ All three PR requirements implemented and validated - axis limits, grid disabling, Y-axis inversion
- Partially Complete Work: None - implementation is complete
- Validated Outcomes: Comprehensive testing shows so.Nominal scales now behave identically to traditional categorical scales in all three required aspects

6. Active Work State:
- Current Focus: Final validation and cleanup after successful implementation
- Recent Context: Completed comprehensive testing showing all requirements met, performed final git diff review
- Working Code: Implementation in _finalize_figure method successfully detects Nominal scales and applies categorical behaviors
- Immediate Context: All PR requirements validated as working correctly through multiple test scenarios

7. Recent Operations:
- Last Agent Commands: run_in_terminal with "cd /Users/someone/Projects/proj01 && python tmp_swe_bench/pr_requirements_test.py" followed by "git diff /Users/someone/Projects/proj01/seaborn/_core/plot.py"
- Tool Results Summary: pr_requirements_test.py showed "=== OVERALL RESULT: ✅ ALL REQUIREMENTS MET ===" with all three behaviors validated. Git diff showed final implementation: added Nominal import, 30 lines of logic in _finalize_figure for scale detection, axis limits setting, and grid disabling
- Pre-Summary State: Agent had completed successful implementation and was doing final validation and code review
- Operation Context: These commands confirmed the implementation meets all PR requirements and showed the exact code changes made

8. Continuation Plan:
- Pending Task 1: Clean up temporary test files in tmp_swe_bench directory using "rm -rf /Users/someone/Projects/proj01/tmp_swe_bench"
- Pending Task 2: Provide final summary of changes explaining how they address the PR requirements
- Priority Information: Cleanup is immediate next step, then final summary for user
- Next Action: "Delete the /Users/someone/Projects/proj01/tmp_swe_bench folder after confirming the issue is fixed and validated"
</summary>