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cleanup

Runs structured Python cleanup and modernization — static analysis via prek/ruff, smell investigation to root cause, typed-boundary hardening by inventorying Any usage, and modernization within the project's requires-python lane. Use when refactoring Python code, removing dead code, hardening type boundaries, or running a modernization pass on a file or scope.

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Cleanup

Structured cleanup and modernization workflow.

Input

Scope: $ARGUMENTS

Goals

  • Remove duplication and ambiguous ownership
  • Investigate code smells instead of suppressing them
  • Improve typed boundaries and reduce escape hatches
  • Modernize only within the project's compatibility lane
  • Preserve behavior unless explicitly changing it

Steps

1. Static Analysis

uv run prek run --files $ARGUMENTS
# Fallback when no .pre-commit-config.yaml:
# uv run ruff format $ARGUMENTS
# uv run ruff check --fix $ARGUMENTS
# uv run ruff check --fix --unsafe-fixes $ARGUMENTS

2. Smell Investigation

For each smell found:

  • Identify the root cause (not just the symptom)
  • Determine if it's a design smell or a quick fix
  • Document the investigation and decision

3. Type Boundary Hardening

  • Inventory all Any usage
  • Move boundary code to dedicated modules
  • Add typed wrappers where raw data crosses boundaries
  • Run typing policy checks

4. Modernization (within project lane)

  • Modernize typing imports only if Python floor supports it
  • Apply match-case where it reduces complexity
  • Use walrus operator where it improves readability
  • Only within the project's requires-python constraint

5. Verification

uv run prek run --files $ARGUMENTS
# Fallback when no .pre-commit-config.yaml:
# uv run ruff check $ARGUMENTS
# uv run ruff format --check $ARGUMENTS
uv run pytest $ARGUMENTS -v

Load Specialists

  • Load python3-typing for boundary refactoring
  • Load python3-testing if test gaps are found
  • Load python3-tools for toolchain changes

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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