rfl::Result
¶
In this documentation, we have, on several occasions, read a JSON string like this:
const auto homer = rfl::json::read<Person>(json_string).value();
However, so far we have not elaborated on why .value()
is necessary. Why can't we just do this?
const auto homer = rfl::json::read<Person>(json_string);
The reason is that parsing a JSON string is something that might fail. We do not know much about the string that put into there. It might not be a valid JSON. And even if it is a valid JSON, then it might not conform to the assumptions that we have made about it and laid out in the type system in the form of various structs and containers.
rfl::json::read
handles this by returning an rfl::Result
type. rfl::Result
is a way of error
handling without exceptions. This is needed for two reasons:
1) Exceptions are controversial, because they add another, hidden control path to your program that it hard to follow or predict. For this reasons, and others, the Google C++ style guide disallows exceptions altogether. Modern programming languages like Go and Rust don't even support them in the first place. The C++ standards committee has recognized this and introduced std::expected in C++-23. However, reflect-cpp is a library for C++-20 and until that changes, we need to implement our own result type.
2) In some cases, you want to signal to the parser that is fine if some things go wrong. rfl::Result
is the way to do that.
If you do not care about these objections to exceptions, you can just call rfl::json::read<...>(json_string).value()
,
which throws an exception, if the result type contains an error and be done with it.
What is rfl::Result
?¶
rfl::Result
is similar to std::optional
it that it contains an object that may or may not be there. However,
unlike std::optional
, it does not simply contain std::nullopt
if the operation has not been successful. Instead,
it contains an rfl::Error
with a clear error message.
In laying out our structs an containers, about the the type system, we are making requirements about the
JSON input we are expecting from the outside world. rfl::json::read<T>(...)
checks whether these requirements are met.
If the requirements are met, rfl::json::read<T>
returns T wrapped inside rfl::Result
. If they are not met, it returns
rfl::Error
containing an error message explaining what went wrong.
Using rfl::Result
for parsing¶
Suppose you have a vector with 1000 user-supplied configurations:
const auto configs = rfl::json::read<std::vector<Config>>(json_string);
Chances are that the user of your software has made as mistake in at least some of these configurations. If you set it up as shown above, rfl::json::read
will fail if one or more Config
items contain an error. But sometimes you don't want that. Sometimes you want your software to proceed with the remaining 999 configurations and gently point out to the user that some of the configurations were faulty.
The solution is to this instead:
const auto configs = rfl::json::read<std::vector<rfl::Result<Config>>>(json_string);
This means rfl::json::read
is going to cut the end-users of your software some slack. But it also means that you, as the programmer, have to handle the fact that some of the configs might contain errors.
Below, we will show you how to do that.
Monadic operations¶
From the point of view of category theory, rfl::Result
is both a functor and a monad (actually, all monads are functors).
This is reflected in its member functions .transform(...)
and .and_then(...)
.
.transform(...)
requires a function F
of the type T -> U
. If the rfl::Result<T>
contains a type T
,
thenĀ r.transform(f)
will return an rfl::Result<U>
containing a type U
, otherwise it will return an rfl::Result<U>
containing an error.
.and_then(...)
requires a function F
of the type T -> rfl::Result<U>
. If the rfl::Result<T>
contains a type T
,
thenĀ r.and_then(f)
might return an rfl::Result<U>
containing a type U
, depending on whether f
failed.
If r
already contained an error, then r.and_then(f)
will surely return an rfl::Result<U>
containing an error.
Throughout reflect-cpp's code, these functions are widely used by the parser. For instance, consider how we are reading
std::unique_ptr<T>
(note that this is somewhat simplified):
const auto to_ptr = [](auto&& _t) {
return std::make_unique<T>(std::move(_t));
};
return Parser<T>::read(_r, _var).transform(to_ptr);
This code works as follows: First, we read in a type T
, which is something that might fail. However, we know 100% that
once we have T
we can surely wrap it inside a pointer, so we can call .transform(...)
.
On the other hand, consider the implementation of rfl::json::load
, which loads a JSON from a file:
template <class T>
Result<T> load(const std::string& _fname) {
return rfl::io::load_string(_fname).and_then(read<T>);
}
This code works as follows: First, we read in the text file using rfl::io::load_string
. This an operation that might fail (maybe
the file doesn't exist, maybe it isn't readable, ...). Then we have to to parse its contents using rfl::json::read<T>
. Again,
this is an operation that might fail (might not be a proper JSON, might not conform to our requirements, ...). Therefore, we
have to call .and_then(...)
.
Retrieving values or errors¶
If you want the underlying value of type T, you can use .value(...)
. Note that this throws an exception, if rfl::Result<T>
contains
an error.
If you are 100% sure that the result does not contain error, you can also call the operator *
. This will lead to undefined behavior,
if you are wrong.
If you want the underlying value of type T or some kind of default value, you can call .value_or(your_default_value)
.
If you want to retrieve the error, you can call .error()
, which will return a value of type std::optional<rfl::Error>
.
If you want to check whether the result contains an error, you can just use the bool operator:
if (my_result) {
// my_result cannot contain an error,
// so it is okay to call operator *.
auto v = *my_result;
} else {
// my_result must contain an error.
auto err = my_result.error().value();
}
Iterating over rfl::Result
¶
rfl::Result
can be iterated over, as it contains either zero or one values of type T
:
for (const auto& v: my_result) {
// If you are inside this loop, then my_result did not contain an error.
}
.and_other(...)
, .or_else(...)
, .or_other(...)
¶
r1.and_other(r2)
expects an r2
or type rfl::Result<U>
. It returns an error, if r1
contains an error and r2
otherwise.
r.or_else(f)
expects a function f
for type Error -> rfl::Result<T>
. It returns r
if r
did not contain an error and the results of f
otherwise.
This is often used to produce better error messages:
const auto embellish_error = [&](const Error& _e) -> rfl::Result<T> {
return Error("Failed to parse field '" + key + "': " + _e.what());
};
return Parser<T>::read(_r, &_var).or_else(embellish_error);
r1.or_other(r2)
expects an r2
or type rfl::Result<T>
. It returns an r1
, if r1
does not contain an error and r2
otherwise.