8.7 KiB
Emitting a lint
Once we have defined a lint, written UI tests and chosen the lint pass for the lint, we can begin the implementation of the lint logic so that we can emit it and gradually work towards a lint that behaves as expected.
Note that we will not go into concrete implementation of a lint logic in this chapter. We will go into details in later chapters as well as in two examples of real Clippy lints.
To emit a lint, we must implement a pass (see Lint Passes) for the lint that we have declared. In this example we'll implement a "late" lint, so take a look at the LateLintPass documentation, which provides an abundance of methods that we can implement for our lint.
pub trait LateLintPass<'tcx>: LintPass {
// Trait methods
}
By far the most common method used for Clippy lints is check_expr
method, this is because Rust is an expression language and,
more often than not, the lint we want to work on must examine expressions.
Note: If you don't fully understand what expressions are in Rust, take a look at the official documentation on expressions
Other common ones include the check_fn
method and the
check_item
method.
Emitting a lint
Inside the trait method that we implement, we can write down the lint logic and emit the lint with suggestions.
Clippy's diagnostics provides quite a few diagnostic functions that we can use to emit lints. Take a look at the documentation to pick one that suits your lint's needs the best. Some common ones you will encounter in the Clippy repository includes:
span_lint
: Emits a lint without providing any other informationspan_lint_and_note
: Emits a lint and adds a notespan_lint_and_help
: Emits a lint and provides a helpful messagespan_lint_and_sugg
: Emits a lint and provides a suggestion to fix the codespan_lint_and_then
: Likespan_lint
, but allows for a lot of output customization.
impl<'tcx> LateLintPass<'tcx> for LintName {
fn check_expr(&mut self, cx: &LateContext<'tcx>, expr: &'tcx Expr<'_>) {
// Imagine that `some_lint_expr_logic` checks for requirements for emitting the lint
if some_lint_expr_logic(expr) {
span_lint_and_help(
cx, // < The context
LINT_NAME, // < The name of the lint in ALL CAPS
expr.span, // < The span to lint
"message on why the lint is emitted",
None, // < An optional help span (to highlight something in the lint)
"message that provides a helpful suggestion",
);
}
}
}
Note: The message should be matter of fact and avoid capitalization and punctuation. If multiple sentences are needed, the messages should probably be split up into an error + a help / note / suggestion message.
Suggestions: Automatic fixes
Some lints know what to change in order to fix the code. For example, the lint
range_plus_one
warns for ranges where the user wrote x..y + 1
instead of using an inclusive range (x..=y
). The fix to
this code would be changing the x..y + 1
expression to x..=y
. This is
where suggestions come in.
A suggestion is a change that the lint provides to fix the issue it is linting. The output looks something like this (from the example earlier):
error: an inclusive range would be more readable
--> $DIR/range_plus_minus_one.rs:37:14
|
LL | for _ in 1..1 + 1 {}
| ^^^^^^^^ help: use: `1..=1`
Not all suggestions are always right, some of them require human supervision, that's why we have Applicability.
Applicability indicates confidence in the correctness of the suggestion, some
are always right (Applicability::MachineApplicable
), but we use
Applicability::MaybeIncorrect
and others when talking about a suggestion that
may be incorrect.
Example
The same lint LINT_NAME
but that emits a suggestion would look something like this:
impl<'tcx> LateLintPass<'tcx> for LintName {
fn check_expr(&mut self, cx: &LateContext<'tcx>, expr: &'tcx Expr<'_>) {
// Imagine that `some_lint_expr_logic` checks for requirements for emitting the lint
if some_lint_expr_logic(expr) {
span_lint_and_sugg( // < Note this change
cx,
LINT_NAME,
span,
"message on why the lint is emitted",
"use",
format!("foo + {} * bar", snippet(cx, expr.span, "<default>")), // < Suggestion
Applicability::MachineApplicable,
);
}
}
}
Suggestions generally use the format!
macro to interpolate the
old values with the new ones. To get code snippets, use one of the snippet*
functions from clippy_utils::source
.
How to choose between notes, help messages and suggestions
Notes are presented separately from the main lint message, they provide useful information that the user needs to understand why the lint was activated. They are the most helpful when attached to a span.
Examples:
Notes
error: calls to `std::mem::forget` with a reference instead of an owned value. Forgetting a reference does nothing.
--> $DIR/drop_forget_ref.rs:10:5
|
10 | forget(&SomeStruct);
| ^^^^^^^^^^^^^^^^^^^
|
= note: `-D clippy::forget-ref` implied by `-D warnings`
note: argument has type &SomeStruct
--> $DIR/drop_forget_ref.rs:10:12
|
10 | forget(&SomeStruct);
| ^^^^^^^^^^^
Help Messages
Help messages are specifically to help the user. These are used in situation where you can't provide a specific machine applicable suggestion. They can also be attached to a span.
Example:
error: constant division of 0.0 with 0.0 will always result in NaN
--> $DIR/zero_div_zero.rs:6:25
|
6 | let other_f64_nan = 0.0f64 / 0.0;
| ^^^^^^^^^^^^
|
= help: consider using `f64::NAN` if you would like a constant representing NaN
Suggestions
Suggestions are the most helpful, they are changes to the source code to fix the
error. The magic in suggestions is that tools like rustfix
can detect them and
automatically fix your code.
Example:
error: This `.fold` can be more succinctly expressed as `.any`
--> $DIR/methods.rs:390:13
|
390 | let _ = (0..3).fold(false, |acc, x| acc || x > 2);
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ help: try: `.any(|x| x > 2)`
|
Snippets
Snippets are pieces of the source code (as a string), they are extracted
generally using the snippet
function.
For example, if you want to know how an item looks (and you know the item's
span), you could use snippet(cx, span, "..")
.
Final: Run UI Tests to Emit the Lint
Now, if we run our UI test, we should see that Clippy now produces output that contains the lint message we designed.
The next step is to implement the logic properly, which is a detail that we will cover in the next chapters.