# Extra Clang Tools 18.1.8 documentation

## clang-tidy - bugprone-unchecked-optional-access

# bugprone-unchecked-optional-access

Note: This check uses a flow-sensitive static analysis to produce its results. Therefore, it may be more resource intensive (RAM, CPU) than the average clang-tidy check.

This check identifies unsafe accesses to values contained in `std::optional<T>`, `absl::optional<T>`, `base::Optional<T>`, or `folly::Optional<T>` objects. Below we will refer to all these types collectively as `optional<T>`.

An access to the value of an `optional<T>` occurs when one of its `value`, `operator*`, or `operator->` member functions is invoked. To align with common misconceptions, the check considers these member functions as equivalent, even though there are subtle differences related to exceptions versus undefined behavior. See Additional notes, below, for more information on this topic.

An access to the value of an `optional<T>` is considered safe if and only if code in the local scope (for example, a function body) ensures that the `optional<T>` has a value in all possible execution paths that can reach the access. That should happen either through an explicit check, using the `optional<T>::has_value` member function, or by constructing the `optional<T>` in a way that shows that it unambiguously holds a value (e.g using `std::make_optional` which always returns a populated `std::optional<T>`).

Below we list some examples, starting with unsafe optional access patterns, followed by safe access patterns.

## Unsafe access patterns

### Access the value without checking if it exists

The check flags accesses to the value that are not locally guarded by existence check:

    void f(std::optional<int> opt) {
      use(*opt); // unsafe: it is unclear whether `opt` has a value.
    }

### Access the value in the wrong branch

The check is aware of the state of an optional object in different branches of the code. For example:

    void f(std::optional<int> opt) {
      if (opt.has_value()) {
      } else {
        use(opt.value()); // unsafe: it is clear that `opt` does *not* have a value.
      }
    }

### Assume a function result to be stable

The check is aware that function results might not be stable. That is, consecutive calls to the same function might return different values. For example:

    void f(Foo foo) {
      if (foo.opt().has_value()) {
        use(*foo.opt()); // unsafe: it is unclear whether `foo.opt()` has a value.
      }
    }

### Rely on invariants of uncommon APIs

The check is unaware of invariants of uncommon APIs. For example:

    void f(Foo foo) {
      if (foo.HasProperty("bar")) {
        use(*foo.GetProperty("bar")); // unsafe: it is unclear whether `foo.GetProperty("bar")` has a value.
      }
    }

### Check if a value exists, then pass the optional to another function

The check relies on local reasoning. The check and value access must both happen in the same function. An access is considered unsafe even if the caller of the function performing the access ensures that the optional has a value. For example:

    void g(std::optional<int> opt) {
      use(*opt); // unsafe: it is unclear whether `opt` has a value.
    }

    void f(std::optional<int> opt) {
      if (opt.has_value()) {
        g(opt);
      }
    }

## Safe access patterns

### Check if a value exists, then access the value

The check recognizes all straightforward ways for checking if a value exists and accessing the value contained in an optional object. For example:

    void f(std::optional<int> opt) {
      if (opt.has_value()) {
        use(*opt);
      }
    }

### Check if a value exists, then access the value from a copy

The criteria that the check uses is semantic, not syntactic. It recognizes when a copy of the optional object being accessed is known to have a value. For example:

    void f(std::optional<int> opt1) {
      if (opt1.has_value()) {
        std::optional<int> opt2 = opt1;
        use(*opt2);
      }
    }

### Ensure that a value exists using common macros

The check is aware of common macros like `CHECK` and `DCHECK`. Those can be used to ensure that an optional object has a value. For example:

    void f(std::optional<int> opt) {
      DCHECK(opt.has_value());
      use(*opt);
    }

### Ensure that a value exists, then access the value in a correlated branch

The check is aware of correlated branches in the code and can figure out when an optional object is ensured to have a value on all execution paths that lead to an access. For example:

    void f(std::optional<int> opt) {
      bool safe = false;
      if (opt.has_value() && SomeOtherCondition()) {
        safe = true;
      }
      // ... more code...
      if (safe) {
        use(*opt);
      }
    }

## Stabilize function results

Since function results are not assumed to be stable across calls, it is best to store the result of the function call in a local variable and use that variable to access the value. For example:

    void f(Foo foo) {
      if (const auto& foo_opt = foo.opt(); foo_opt.has_value()) {
        use(*foo_opt);
      }
    }

## Do not rely on uncommon-API invariants

When uncommon APIs guarantee that an optional has contents, do not rely on it – instead, check explicitly that the optional object has a value. For example:

    void f(Foo foo) {
      if (const auto& property = foo.GetProperty("bar")) {
        use(*property);
      }
    }

instead of the HasProperty, GetProperty pairing we saw above.

## Do not rely on caller-performed checks

If you know that all of a function’s callers have checked that an optional argument has a value, either change the function to take the value directly or check the optional again in the local scope of the callee. For example:

    void g(int val) {
      use(val);
    }

    void f(std::optional<int> opt) {
      if (opt.has_value()) {
        g(*opt);
      }
    }

and

    struct S {
      std::optional<int> opt;
      int x;
    };

    void g(const S &s) {
      if (s.opt.has_value() && s.x > 10) {
        use(*s.opt);
    }

    void f(S s) {
      if (s.opt.has_value()) {
        g(s);
      }
    }

## Additional notes

### Aliases created via `using` declarations

The check is aware of aliases of optional types that are created via `using` declarations. For example:

    using OptionalInt = std::optional<int>;

    void f(OptionalInt opt) {
      use(opt.value()); // unsafe: it is unclear whether `opt` has a value.
    }

### Lambdas

The check does not currently report unsafe optional accesses in lambdas. A future version will expand the scope to lambdas, following the rules outlined above. It is best to follow the same principles when using optionals in lambdas.

### Access with `operator*()` vs. `value()`

Given that `value()` has well-defined behavior (either throwing an exception or terminating the program), why treat it the same as `operator*()` which causes undefined behavior (UB)? That is, why is it considered unsafe to access an optional with `value()`, if it’s not provably populated with a value? For that matter, why is `CHECK()` followed by `operator*()` any better than `value()`, given that they are semantically equivalent (on configurations that disable exceptions)?

The answer is that we assume most users do not realize the difference between `value()` and `operator*()`. Shifting to `operator*()` and some form of explicit value-presence check or explicit program termination has two advantages:

> - Readability. The check, and any potential side effects like program shutdown, are very clear in the code. Separating access from checks can actually make the checks more obvious.

> - Performance. A single check can cover many or even all accesses within scope. This gives the user the best of both worlds – the safety of a dynamic check, but without incurring redundant costs.