json_struct is a single-header C++ library that parses JSON to structs/classes and serializes structs/classes back to JSON. With support for relaxed parsing rules, it's also excellent for configuration files and human-editable data formats.
Getting Started: Simply copy json_struct.h from the include folder into your project's include path.
Requirements: C++11 or newer. Tested on GCC, Clang, and Visual Studio 2015+.
json_struct automatically maps JSON to C++ structs by adding simple metadata declarations.
{"One" : 1, "Two" : "two", "Three" : 3.333 }can be parsed into a structure defined like this:
structJsonObject{int One; std::string Two; double Three; JS_OBJ(One, Two, Three)};or
structJsonObject{int One; std::string Two; double Three}; JS_OBJ_EXT(JsonObject, One, Two, Three);Parse JSON to struct:
JS::ParseContext context(json_data); JsonObject obj; context.parseTo(obj);Serialize struct to JSON:
std::string pretty_json = JS::serializeStruct(obj); // or std::string compact_json = JS::serializeStruct(obj, JS::SerializerOptions(JS::SerializerOptions::Compact));json_struct supports relaxed JSON parsing rules, making it ideal for configuration files and human-editable data. Enable optional features for a more forgiving syntax:
- Comments using
//syntax - Unquoted property names and string values (supports
A-Z,a-z,0-9,_,-,.,/) - Newlines instead of commas as delimiters
- Trailing commas in objects and arrays
Example configuration file:
{// Server configuration host: localhost port: 8080 database: { name: myapp_dbmax_connections: 100,// Trailing comma is OK} log_file: /var/log/app.log}Enable relaxed parsing:
JS::ParseContext context(config_data); context.tokenizer.allowComments(true); context.tokenizer.allowAsciiType(true); context.tokenizer.allowNewLineAsTokenDelimiter(true); context.tokenizer.allowSuperfluousComma(true); context.parseTo(config_obj);When the JSON structure depends on runtime values, you can parse into a JS::Map first, inspect the data, then dispatch to the appropriate type. For example, consider JSON describing different vehicle types:
{"type" : "car", "wheels" : 4, "electric" : true, ... }or it could look like this:
{"type" : "sailboat", "sail_area_m2" : 106.5, "swimming_platform": true, ... }Parse into a map, query for the type field, then convert to the specific struct:
voidhandle_data(constchar *data, size_t size){JS::Map map; JS::ParseContext parseContext(data, size, map); if (parseContext.error != JS::Error::NoError){fprintf(stderr, "Failed to parse Json:\n%s\n", parseContext.makeErrorString().c_str()); return} VehicleType vehicleType = map.castTo<VehicleType>("type", parseContext); if (parseContext.error != JS::Error::NoError){fprintf(stderr, "Failed to extract type:\n%s\n", parseContext.makeErrorString().c_str()); return} switch (vehicleType){case VehicleType::car:{Car car = map.castTo<Car>(parseContext); if (parseContext.error != JS::Error::NoError){//error handling } handle_car(car); break} case VehicleType::sailboat: Sailboat sailboat; map.castToType(parseContext, sailboat); if (parseContext.error != JS::Error::NoError){//error handling } handle_sailboat(sailboat); break} }The JS::Map allows querying and extracting individual fields before converting the entire object. Two casting styles are available:
Car car = map.castTo<Car>(parseContext); // or Sailboat sailboat; map.castToType(parseContext, sailboat);The JS_OBJ macro adds a static metadata object to your struct without affecting its size or semantics. For more control, use the verbose JS_OBJECT macro with explicit member declarations:
structJsonObject{int One; std::string Two; double Three; JS_OBJECT(JS_MEMBER(One) , JS_MEMBER(Two) , JS_MEMBER(Three))};Custom JSON keys and aliases:
structJsonObject{int One; std::string Two; double Three; JS_OBJECT(JS_MEMBER(One) , JS_MEMBER_WITH_NAME(Two, "TheTwo") , JS_MEMBER_ALIASES(Three, "TheThree", "the_three"))};JS_MEMBER_WITH_NAME- Uses only the supplied name, ignoring the member nameJS_MEMBER_ALIASES- Checks aliases after the primary member name
Note: Don't mix JS_MEMBER macros with JS_OBJ as it will double-apply the macro.
For types that don't fit the standard object model (e.g., custom serialization logic), implement a TypeHandler specialization. The JS::ParseContext looks for template specializations:
namespaceJS{template<typename T> structTypeHandler}Built-in type handlers:
std::stringdoublefloatuint8_tint16_tuint16_tint32_tuint32_tint64_tuint64_tstd::unique_ptrboolstd::vector[T]
Custom type handler example:
namespaceJS{template<> structTypeHandler<uint32_t>{public:staticinline Error to(uint32_t &to_type, ParseContext &context){char *pointer; unsignedlong value = strtoul(context.token.value.data, &pointer, 10); to_type = static_cast<unsignedint>(value); if (context.token.value.data == pointer) return Error::FailedToParseInt; return Error::NoError} staticvoidfrom(constuint32_t &from_type, Token &token, Serializer &serializer){std::string buf = std::to_string(from_type); token.value_type = Type::Number; token.value.data = buf.data(); token.value.size = buf.size(); serializer.write(token)} }}This gives complete control over serialization/deserialization and can represent any JSON structure (objects, arrays, primitives).
- Examples - See practical usage patterns
- Unit Tests - Comprehensive test coverage
Static Analysis:
- PVS-Studio - C, C++, C#, and Java static analyzer
Dynamic Analysis: All pull requests are tested with: