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qicosmos / iguana

universal serialization engine
Apache License 2.0
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binary c-plus-plus json serialization xml

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A Universal Serialization Engine Based on compile-time Reflection

iguana is a modern, universal and easy-to-use serialization engine developed in C++20 and C++17.

OS (Compiler Version) Status
Ubuntu 22.04 (clang 14.0.0) win
Ubuntu 22.04 (gcc 11.2.0) win
macOS Monterey 12 (AppleClang 14.0.0.14000029) win
Windows Server 2022 (MSVC 19.33.31630.0) win

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中文版

struct_pb

Motivation

Serialize an object to any other format data with compile-time reflection, such as json, xml, binary, table and so on. This library is designed to unify and simplify serialization in a portable cross-platform manner. This library is also easy to extend, and you can serialize any format of data with the library. This library provides a portable cross-platform way of:

compile time reflection

reflection lib introduction

Tutorial

This Tutorial is provided to give you a view of how iguana works for serialization.

Serialization of json

The first thing to do when you serialize an object is to define meta data. There is an example of defining meta data.

struct person
{
    std::string  name;
    int          age;
};
#if __cplusplus < 202002L
YLT_REFL(person, name, age) //define meta data
#endif

Defining meta data is very simple, if your compiler is C++20 compiler(gcc11+, clang13+, msvc2022), no need define YLT_REFL, other wise need to define in a YLT_REFL macro.

Now let's serialize person to json string.

person p = { "tom", 28 };

iguana::string_stream ss; // here use std::string is also ok
iguana::to_json(p, ss);

std::cout << ss.str() << std::endl;

This example will output:

{"name":"tom","age":28}

Serializing person to json string is also very simple, just need to call to_json method, there is nothing more.

How about deserialization of json? Look at the follow example.

std::string json = "{ \"name\" : \"tom\", \"age\" : 28}";

person p;
iguana::from_json(p, json);

It's as simple as serialization, just need to call from_json method.

You can also use parse interface to do dom parsing:

std::string_view str = R"(false)";
iguana::jvalue val;
iguana::parse(val, str.begin(), str.end());

std::error_code ec;
auto b = val.get<bool>(ec);
CHECK(!ec);
CHECK(!b);

// or
b = val.get<bool>(); // this interface maybe throw exception
CHECK(!b);

Serialization of xml

The serialization of xml is similar to json. The first step is also defining meta data as above, and then you can call iguana::to_xml to serialization the structure, or call iguana::from_xml to deserialization the structure. The following is a complete example.

// serialization the structure to the string
person p = {"admin", 20};
iguana::string_stream ss;  // here use std::string is also ok
iguana::to_xml(p, ss);
std::cout << ss << std::endl;

// deserialization the structure from the string
std::string xml = R"(
<?xml version=\"1.0\" encoding=\"UTF-8\">  
<root> 
  <name>buke</name> 
  <age>30</age> 
</root>)";
iguana::from_xml(p, xml);

Serialization of yaml

The serialization of yaml is also as simple as the above interface. Here is a complete example:

// serialization the structure to the string
person p = {"admin", 20};
iguana::string_stream ss;  // here use std::string is also ok
iguana::to_yaml(ss, p);
std::cout << ss.str() << std::endl;
std::string yaml = R"(
name : buke
age : 30
)";
// deserialization the structure from the string
iguana::from_yaml(p, yaml);

A complicated example

json

iguana can deal with objects which contain another objects and containers. Here is the example:

At first, we define the meta data:

struct one_t
{
    int id;
};
YLT_REFL(one_t, id);

struct two
{
    std::string name;
    one_t one;
    int age;
};
YLT_REFL(two, name, one, age);

struct composit_t
{
    int a;
    std::vector<std::string> b;
    int c;
    std::map<int, int> d;
    std::unordered_map<int, int> e;
    double f;
    std::list<one_t> g;
};
YLT_REFL(composit_t, a, b, c, d, e, f, g);

Then call the simple interface:

one_t one = { 2 };
composit_t composit = { 1,{ "tom", "jack" }, 3,{ { 2,3 } },{ { 5,6 } }, 5.3,{ one } };
iguana::string_stream ss;
iguana::to_json(composit, ss);
std::cout << ss.str() << std::endl;

std::string str_comp = R"({"a":1, "b":["tom", "jack"], "c":3, "d":{"2":3,"5":6},"e":{"3":4},"f":5.3,"g":[{"id":1},{"id":2}])";
composit_t comp;
iguana::from_json(comp, str_comp);

xml

At first, define the structure and reflect the meta data.

struct book_t {
  std::string author;
  float price;
};
YLT_REFL(book_t, author, price);
struct library_t {
  std::string name;
  int id;
  std::vector<book_t> book;
};
YLT_REFL(library_t, name, id, book);

And then, simply call the interface:

// serialization the structure to the string
library_t library = {"Pro Lib", 110, {{"tom", 1.8}, {"jack", 2.1}}};
std::string ss;
iguana::to_xml(library, ss);
std::cout << ss << "\n";

// deserialization the structure from the string
std::string str = R"(
<library>
  <name>Pro Lib</name>
  <id>110</id>
  <book><author>tom</author><price>1.8</price>
  </book>
  <book><author>jack</author><price>2.1</price>
  </book>
</library>
)";
library_t lib;
iguana::from_xml(lib, str);

yaml

As always what we do, define the structure and reflect the meta data.

enum class enum_status {
  start,
  stop,
};
struct plain_type_t {
  bool isok;
  enum_status status;
  char c;
  std::optional<bool> hasprice;
  std::optional<float> num;
  std::optional<int> price;
};
YLT_REFL(plain_type_t, isok, status, c, hasprice, num, price);

And then, simply call the interface:

// deserialization the structure from the string
std::string str = R"(
isok: false
status: 1
c: a
hasprice: true
num:
price: 20
)";
plain_type_t p;
iguana::from_yaml(p, str);
// serialization the structure to the string
std::string ss;
iguana::to_yaml(ss, p);
std::cout << ss << "\n";

How to solve the problem of unicode path in a json file?

If there is an unicode string as a path in a json file, however iguana parse the file as utf-8, so maybe you can see some strange characters after parse.

It's ok, because you see the utf-8 strings. The problem is you can't use the string directly, such as use std::ifstream to open the file with the unicode string path.

We can slove the problem1 easily with c++17:

  //the p.path is a unicode string path
  std::ifstream in(std::filesystem::u8path(p.path)); //std::filesystem::u8path help us
  //now you can operate the file

how to handle the enum type as strings?

By default, Iguana handle enum type as number type during serialization and deserialization. To handle the enum type as strings during serialization and deserialization with Iguana, we need to define a full specialization template in the "iguana" namespace. This template is a struct that contains an array with the underlying numbers corresponding to the enum type. For example, if we have the following enum type:

enum class Status { STOP = 10, START };

And we want to handle the enum type as strings when parsing JSON:

    std::string str = R"(
{
  "a": "START",
  "b": "STOP"
}
  )";

To do this, we define the full specialization template in the "iguana" namespace:

namespace iguana {
template <> struct enum_value<Status> {
  constexpr static std::array<int, 2> value = {10, 11};
};
} // namespace iguana

Once this is done, we can continue writing the rest of the code as usual.

struct enum_t {
    Status a;
    Status b;
};
YLT_REFL(enum_t, a, b);

// deserialization
enum_t e;
iguana::from_json(e, str);
// serialization
enum_t e1;
e1.a = Status::START;
e1.b = Status::STOP;
std::string ss;
iguana::to_json(e1, ss);

Serialization of protobuf

similar with before:

struct person {
  int id;
  std::string name;
  int age;
  bool operator==(person const& rhs) const {
    return id == rhs.id && name == rhs.name && age == rhs.age;
  }
};

#if __cplusplus < 202002L
YLT_REFL(person, id, name, age) //define meta data
#endif

void test() {
  person p{1, "tom", 20};
  std::string pb;
  iguana::to_pb(p, pb);
  person p1;
  iguana::from_pb(p1, pb);
  CHECK(p == p1);
}

more detail

Full sources:

Scripts

Automatically generate YLT_REFL macros based by struct.

To get a list of basic options and switches use:

python automatic_macro_generator.py -h

basic example:

The content of the test_macro_generator.cpp is as follows:

 struct person {
    std::string name;
    int age;
  };

  char *iguana = NULL;

  struct composit_t { int a; std::vector<std::string> b; int c; std::map<int, int> d; std::unordered_map<int, int> e; double f;};

  char *iguana_test = NULL;

  struct composit_t2
  {
    int a;
    std::vector<std::string> b;
    int iguana;
    std::map<int, int> example_test;
    std::unordered_map<int, int> random_name__;
    double __f__number__complex;
  };

execute script:

python automatic_macro_generator.py -i test_macro_generator.cpp

After processing by the automatic_macro_generator.py script,test_macro_generator.cpp change into:

struct person {
  std::string name;
  int age;
};
YLT_REFL(person, name, age);
char *iguana = NULL;

struct composit_t { int a; std::vector<std::string> b; int c; std::map<int, int> d; std::unordered_map<int, int> e; double f;};
YLT_REFL(composit_t, a, b, c, d, e, f);

struct composit_t2
{
  int a;
  std::vector<std::string> b;
  int iguana;
  std::map<int, int> example_test;
  std::unordered_map<int, int> random_name__;
  double __f__number__complex;
};
YLT_REFL(composit_t2, a, b, iguana, example_test, random_name__, __f__number__complex);

other example:

python automatic_macro_generator.py -i test_macro_generator.cpp -o have_macro.cpp

test_macro_generator.cpp will be unchanged, have_macro.cpp will be changed to source file with YLT_REFL macro.

scripts works out of the box with Python version 2.7 and 3.x on any platform.

Notes: In Python3,Will prompt DeprecationWarning: 'U' mode is deprecated.Ignore it.

F.A.Q

deps

frozen lib

Update

  1. Support C++20 and C++17
  2. Refactor json reader, modification based on glaze json/read.hpp