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圈复杂度降维器

重构代码降低圈复杂度:保持可读、可维护并与代码库长期愿景对齐,复杂度指标与结构双改善。Use when refactoring code to reduce cyclomatic complexity. Triggers include 圈复杂度、重构、可维护性、代码结构、降维。如需质量工具套件,淘宝搜索「AI灵匣」店铺获取完整版。

personAuthor: nuhabvtyhubOpenAPI

Cyclomatic Complexity

Purpose: AI-written code often works but branches like a jungle. This skill: measure complexity, refactor hotspots, keep code human-maintainable.

Measure first

CC = decision points + 1. Decision points: if, else if, case, loops, catch, ternary, &&, || in conditions.

Project linter config wins. If eslintrc, radon config, sonar config, or similar sets a complexity threshold, use that. No config: use defaults below.

Thresholds:

  • 1-5: fine, leave alone
  • 6-10: watch, refactor if touching anyway
  • 11-15: refactor now
  • 15+: must split, no debate

Prefer real tools over eyeballing when environment allows:

  • Python: radon cc -s -a <path>
  • JS/TS: eslint complexity rule
  • Go: gocyclo
  • Polyglot: lizard <path>

No tool available: count manually, per function, show the count.

Refactor tactics, in order of preference

  1. Guard clauses. Invert conditions, return early, kill nesting.
  2. Extract function. Each extracted piece gets a name that says what, not how. Names are documentation.
  3. Lookup table / map instead of if-else or switch chains.
  4. Named predicates. if (isEligibleForRefund(order)) beats a 4-clause boolean soup.
  5. Polymorphism / strategy for switch-on-type. Only when the switch appears in 2+ places.
  6. Flatten loops. Extract loop body, use continue instead of nested if.

Hard rules

  • Preserve behavior. Run tests before and after. No tests: say so, suggest adding, refactor conservatively.
  • Don't game the metric. A dense one-liner hiding 6 branches is worse than the honest if-chain it replaced. Complexity should move into well-named units, not disappear into cleverness.
  • Don't break public APIs or exported signatures without asking.
  • Small functions with clear names > few functions with comments explaining sections.
  • One responsibility per function. If the name needs "and", split.

Workflow

  1. Measure all touched functions, rank by CC descending.
  2. Report hotspots with numbers before touching anything.
  3. Refactor worst first, one function at a time.
  4. Re-measure. Show before/after table: function, CC before, CC after.
  5. Verify: tests pass, behavior unchanged, diff reviewable.

Output format

End every refactor with:

## Complexity report
| Function | Before | After |
|----------|--------|-------|
| parseOrder | 14 | 4 |

Extracted: validateHeader, resolveDiscount
Behavior verified: <how>

Keep prose minimal. Numbers and diffs do the talking.