# AI-Optimized Python Style Guide This document defines the Python style conventions for the Manual Slop codebase. These deviate from PEP 8 / Google style to minimize token consumption when code is processed by AI agents, while preserving readability for human review. ## 1. Indentation and Whitespace - **Indentation:** 1 space per level. No tabs. - **Continuation lines:** 1 space relative to the opening construct. - **Blank lines:** Zero blank lines between function/method definitions within a class. One blank line between top-level definitions only when separating logically distinct sections. - **Trailing whitespace:** None. - **Rationale:** 1-space indentation reduces token count by ~40% compared to 4-space on deeply nested GUI code, with no loss of structural clarity for AST-based tools. ## 2. Type Annotations - **All functions and methods** must have return type annotations. - **All parameters** (except `self`/`cls`) must have type annotations. - **Module-level and class-level variables** must have type annotations. - **Use modern syntax:** `list[str]`, `dict[str, Any]`, `X | None` over `Optional[X]` where Python 3.10+ is available. Use `from __future__ import annotations` if needed. - **Callable:** Use bare `Callable` for callback factories. Use `Callable[[ArgTypes], ReturnType]` when the signature is known and stable. - **DearPyGui / ImGui callbacks:** Use `sender: Any, app_data: Any` for framework callbacks where the types are runtime-determined. ## 3. Imports - Use `from __future__ import annotations` at the top of every module. - Group imports: stdlib, third-party, local — separated by a blank line. - Use `from typing import Any, Optional, Callable` etc. for type-only imports. - Prefer `from x import Y` for specific symbols over `import x` when only one or two names are used. ## 4. Naming - **snake_case** for modules, functions, methods, variables. - **PascalCase** for classes. - **ALL_CAPS** for module-level constants. - **Single leading underscore** (`_name`) for internal/private members. ## 5. Docstrings - Required on classes and non-trivial public functions. - Use `"""triple double quotes"""`. - One-line summary is sufficient for simple methods. - Omit docstrings on obvious internal methods (e.g., `_cb_*` callbacks, `_render_*` UI methods) where the name is self-documenting. ## 6. String Formatting - Prefer f-strings. - Use double quotes (`"`) for strings by default. - Use single quotes when the string contains double quotes. ## 7. Error Handling - Never use bare `except:`. - Use specific exception types. - Prefer `if x is None:` over `if not x:` when testing for None specifically. ## 8. AI-Agent Specific Conventions - **No redundant comments.** Do not add comments that restate what the code does. Only comment on *why* when non-obvious. - **No empty `__init__.py` files.** - **Minimal blank lines.** Token-efficient density is preferred over visual padding. - **Short variable names are acceptable** in tight scopes (loop vars, lambdas). Use descriptive names for module-level and class attributes. ## 9. Line Length - Soft limit: 120 characters. - Hard limit: None — let the formatter handle wrapping if needed. - Rationale: 80-char limits cause excessive line continuations that waste tokens. ## 10. Main Guard - All executable files should have `if __name__ == "__main__":` calling `main()`. **BE CONSISTENT.** When editing existing code, match the style already present in the file.