Converting enum type variables to strings is a common requirement in programming. For instance, it becomes necessary when printing enum values in a readable format or when passing them as parameters to functions that expect string arguments.
One straightforward approach to enum type conversion is to write a manual function for each enum. For example, to convert an OS_type enum:
enum OS_type { Linux, Apple, Windows }; inline const char* ToString(OS_type v) { switch (v) { case Linux: return "Linux"; case Apple: return "Apple"; case Windows: return "Windows"; default: return "[Unknown OS_type]"; } }
However, this approach is prone to maintenance issues as the number of enums increases.
Boost.Preprocessor library provides a more elegant and automated way to handle enum type conversions. It utilizes the preprocessor to generate conversion functions dynamically. The following two macros achieve this:
#define X_DEFINE_ENUM_WITH_STRING_CONVERSIONS_TOSTRING_CASE(r, data, elem) \ case elem : return BOOST_PP_STRINGIZE(elem); #define DEFINE_ENUM_WITH_STRING_CONVERSIONS(name, enumerators) \ enum name { \ BOOST_PP_SEQ_ENUM(enumerators) \ }; \ \ inline const char* ToString(name v) \ { \ switch (v) \ { \ BOOST_PP_SEQ_FOR_EACH( \ X_DEFINE_ENUM_WITH_STRING_CONVERSIONS_TOSTRING_CASE, \ name, \ enumerators \ ) \ default: return "[Unknown " BOOST_PP_STRINGIZE(name) "]"; \ } \ }
Using these macros, the OS_type enum can be defined as follows:
DEFINE_ENUM_WITH_STRING_CONVERSIONS(OS_type, (Linux)(Apple)(Windows))
In C , the ToString function can be used to convert enum values to strings:
#include <iostream> int main() { OS_type t = Windows; std::cout << ToString(t) << " " << ToString(Apple) << std::endl; }
For C, the ToString function can be implemented as a macro instead of a function overload:
#define ToString(t) \ [Unknown ""##t] [Linux "Linux"] [Apple "Apple"] [Windows "Windows"]
This article has presented two methods for converting enum type variables to strings: the naive approach using manual functions and a preprocessor-based solution with Boost.Preprocessor. The preprocessor-based approach is more robust and easier to maintain, especially when dealing with large numbers of enums.
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