chore(conductor): Add new track 'I started to do a large cleanup to gui_2.py...'

This commit is contained in:
2026-05-13 16:14:05 -04:00
parent ae063c77ed
commit 5ac7688e6c
5 changed files with 77 additions and 1 deletions
@@ -0,0 +1,34 @@
# Specification: GUI 2.py Cleanup & Structural Awareness
## Overview
This track focuses on a comprehensive cleanup of `src/gui_2.py`, deriving best practices for maintaining the Python codebase, and updating the relevant guidelines. It also includes enhancing the MCP tools to better understand Python structural conventions such as annotations.
## Functional Requirements
1. **`gui_2.py` Cleanup**:
- Reorganize the `__init__` method and object state.
- Improve type hints and annotations throughout the file.
- Refactor layout and rendering logic for better readability.
- Improve general code structure and maintainability.
2. **Guidelines Update**:
- Analyze the cleanup process to derive best practices.
- Update `conductor/product-guidelines.md` with high-level maintenance strategies.
- Update `conductor/code_styleguides/python.md` with specific coding conventions discovered during the cleanup.
3. **MCP Tools Enhancements**:
- Improve parsing of Python type annotations.
- Enhance the extraction of class and method outlines.
- Add support for recognizing specific ImGui/Dear PyGui patterns to improve structural awareness.
## Non-Functional Requirements
- Ensure changes do not break existing functionality or introduce regressions.
- Maintain the "1-space indentation" rule as strictly defined in the Python code styleguide.
- All refactoring should aim to reduce token consumption when analyzing the file with AI.
## Acceptance Criteria
- `gui_2.py` is successfully refactored, specifically focusing on `__init__` declarations and type hints.
- Both `conductor/product-guidelines.md` and `conductor/code_styleguides/python.md` are updated with the newly derived insights.
- MCP tools (e.g., `py_get_skeleton`, `py_get_code_outline`) exhibit improved awareness of annotations and GUI patterns.
- Automated tests pass and manual GUI verification confirms no regressions.
## Out of Scope
- Major architectural changes to the underlying `AppController` or DAG Engine logic.
- Rewriting `gui_2.py` in a different UI framework.