mirror of
https://github.com/rust-lang/rust-clippy
synced 2024-11-24 21:53:23 +00:00
168 lines
5.3 KiB
Rust
168 lines
5.3 KiB
Rust
//! calculate cognitive complexity and warn about overly complex functions
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use clippy_utils::diagnostics::span_lint_and_help;
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use clippy_utils::source::snippet_opt;
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use clippy_utils::ty::is_type_diagnostic_item;
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use clippy_utils::visitors::for_each_expr;
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use clippy_utils::{get_async_fn_body, is_async_fn, LimitStack};
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use core::ops::ControlFlow;
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use rustc_ast::ast::Attribute;
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use rustc_hir::intravisit::FnKind;
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use rustc_hir::{Body, Expr, ExprKind, FnDecl};
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use rustc_lint::{LateContext, LateLintPass, LintContext};
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use rustc_session::{declare_tool_lint, impl_lint_pass};
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use rustc_span::def_id::LocalDefId;
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use rustc_span::source_map::Span;
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use rustc_span::{sym, BytePos};
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declare_clippy_lint! {
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/// ### What it does
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/// Checks for methods with high cognitive complexity.
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///
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/// ### Why is this bad?
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/// Methods of high cognitive complexity tend to be hard to
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/// both read and maintain. Also LLVM will tend to optimize small methods better.
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///
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/// ### Known problems
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/// Sometimes it's hard to find a way to reduce the
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/// complexity.
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///
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/// ### Example
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/// You'll see it when you get the warning.
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#[clippy::version = "1.35.0"]
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pub COGNITIVE_COMPLEXITY,
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nursery,
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"functions that should be split up into multiple functions"
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}
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pub struct CognitiveComplexity {
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limit: LimitStack,
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}
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impl CognitiveComplexity {
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#[must_use]
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pub fn new(limit: u64) -> Self {
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Self {
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limit: LimitStack::new(limit),
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}
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}
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}
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impl_lint_pass!(CognitiveComplexity => [COGNITIVE_COMPLEXITY]);
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impl CognitiveComplexity {
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#[expect(clippy::cast_possible_truncation)]
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fn check<'tcx>(
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&mut self,
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cx: &LateContext<'tcx>,
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kind: FnKind<'tcx>,
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decl: &'tcx FnDecl<'_>,
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expr: &'tcx Expr<'_>,
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body_span: Span,
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) {
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if body_span.from_expansion() {
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return;
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}
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let mut cc = 1u64;
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let mut returns = 0u64;
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let _: Option<!> = for_each_expr(expr, |e| {
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match e.kind {
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ExprKind::If(_, _, _) => {
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cc += 1;
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},
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ExprKind::Match(_, arms, _) => {
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if arms.len() > 1 {
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cc += 1;
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}
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cc += arms.iter().filter(|arm| arm.guard.is_some()).count() as u64;
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},
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ExprKind::Ret(_) => returns += 1,
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_ => {},
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}
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ControlFlow::Continue(())
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});
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let ret_ty = cx.typeck_results().node_type(expr.hir_id);
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let ret_adjust = if is_type_diagnostic_item(cx, ret_ty, sym::Result) {
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returns
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} else {
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#[expect(clippy::integer_division)]
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(returns / 2)
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};
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// prevent degenerate cases where unreachable code contains `return` statements
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if cc >= ret_adjust {
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cc -= ret_adjust;
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}
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if cc > self.limit.limit() {
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let fn_span = match kind {
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FnKind::ItemFn(ident, _, _) | FnKind::Method(ident, _) => ident.span,
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FnKind::Closure => {
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let header_span = body_span.with_hi(decl.output.span().lo());
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let pos = snippet_opt(cx, header_span).and_then(|snip| {
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let low_offset = snip.find('|')?;
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let high_offset = 1 + snip.get(low_offset + 1..)?.find('|')?;
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let low = header_span.lo() + BytePos(low_offset as u32);
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let high = low + BytePos(high_offset as u32 + 1);
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Some((low, high))
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});
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if let Some((low, high)) = pos {
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Span::new(low, high, header_span.ctxt(), header_span.parent())
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} else {
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return;
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}
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},
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};
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span_lint_and_help(
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cx,
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COGNITIVE_COMPLEXITY,
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fn_span,
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&format!(
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"the function has a cognitive complexity of ({cc}/{})",
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self.limit.limit()
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),
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None,
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"you could split it up into multiple smaller functions",
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);
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}
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}
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}
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impl<'tcx> LateLintPass<'tcx> for CognitiveComplexity {
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fn check_fn(
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&mut self,
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cx: &LateContext<'tcx>,
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kind: FnKind<'tcx>,
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decl: &'tcx FnDecl<'_>,
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body: &'tcx Body<'_>,
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span: Span,
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def_id: LocalDefId,
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) {
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if !cx.tcx.has_attr(def_id, sym::test) {
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let expr = if is_async_fn(kind) {
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match get_async_fn_body(cx.tcx, body) {
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Some(b) => b,
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None => {
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return;
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},
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}
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} else {
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body.value
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};
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self.check(cx, kind, decl, expr, span);
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}
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}
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fn enter_lint_attrs(&mut self, cx: &LateContext<'tcx>, attrs: &'tcx [Attribute]) {
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self.limit.push_attrs(cx.sess(), attrs, "cognitive_complexity");
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}
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fn exit_lint_attrs(&mut self, cx: &LateContext<'tcx>, attrs: &'tcx [Attribute]) {
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self.limit.pop_attrs(cx.sess(), attrs, "cognitive_complexity");
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}
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}
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