jsoncons

C++ library for parsing and serializing JSON text

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jsoncons: a C++ library for json construction

Preliminaries

Reading JSON text from a file

Constructing json values in C++

Converting to and from standard library containers

Converting CSV files to json

Pretty print

Filters

JsonPath

About jsoncons::json

Wide character support

ojson and wojson

Convert json to/from user defined type

Preliminaries

jsoncons is a C++ library for the construction of JavaScript Object Notation (JSON). It supports parsing a JSON file or string into a json value, building a json value in C++ code, and serializing a json value to a file or string. It supports converting to and from the standard library sequence and associative containers. It also provides an API for generating json read and write events in code, somewhat analogously to SAX processing in the XML world. Consult the wiki for the latest documentation and tutorials and roadmap.

jsoncons uses some features that are new to C++ 11, particularly move semantics and the AllocatorAwareContainer concept. It has been tested with MS VC++ 2013, MS VC++ 2015, GCC 4.8, GCC 4.9, and recent versions of clang. Note that std::regex isn’t fully implemented in GCC 4.8., so jsoncons_ext/jsonpath regular expression filters aren’t supported for that compiler.

The jsoncons library is header-only: it consists solely of header files containing templates and inline functions, and requires no separately-compiled library binaries when linking. It has no dependence on other libraries.

To install the jsoncons library, download the zip file, extract the zipped files, look under src for the directory jsoncons, and copy it to your include directory. If you wish to use extensions, copy the jsoncons_ext directory as well.

The jsoncons classes and functions are in namespace jsoncons. You need to include the header file

#include <jsoncons/json.hpp>

and, for convenience,

using jsoncons::json;

Reading JSON text from a file

Example file (books.json):

[
    {
        "title" : "Kafka on the Shore",
        "author" : "Haruki Murakami",
        "price" : 25.17
    },
    {
        "title" : "Women: A Novel",
        "author" : "Charles Bukowski",
        "price" : 12.0
    },
    {
        "title" : "Cutter's Way",
        "author" : "Ivan Passer"
    }
]

It consists of an array of book elements, each element is an object with members title, author, and price.

Read the JSON text into a json value,

std::ifstream is("books.json");
json books;
is >> books;

Loop through the book array elements, using a range-based for loop

for (const auto& book : books.array_range())
{
    std::string author = book["author"].as<std::string>();
    std::string title = book["title"].as<std::string>();
    std::cout << author << ", " << title << std::endl;
}

or begin-end iterators

for (auto it = books.array_range().begin(); 
     it != books.array_range().end();
     ++it)
{
    std::string author = (*it)["author"].as<std::string>();
    std::string title = (*it)["title"].as<std::string>();
    std::cout << author << ", " << title << std::endl;
} 

or a traditional for loop

for (size_t i = 0; i < books.size(); ++i)
{
    json& book = books[i];
    std::string author = book["author"].as<std::string>();
    std::string title = book["title"].as<std::string>();
    std::cout << author << ", " << title << std::endl;
}

Output:

Haruki Murakami, Kafka on the Shore
Charles Bukowski, Women: A Novel
Ivan Passer, Cutter's Way

Loop through the members of the third book element, using a range-based for loop

for (const auto& kvp : books[2].object_range())
{
    std::cout << kvp.key() << "=" 
              << kvp.value() << std::endl;
}

or begin-end iterators:

for (auto it = books[2].object_range().begin(); 
     it != books[2].object_range().end();
     ++it)
{
    std::cout << (*it).key() << "=" 
              << (*it).value() << std::endl;
} 

Output:

author=Ivan Passer
title=Cutter's Way

Note that the third book, Cutter’s Way, is missing a price.

You have a choice of object member accessors:

So if you want to show “n/a” for the missing price, you can use this accessor

std::string price = book.get_with_default("price","n/a");

Or you can check if book has a member “price” with the method has_key, and output accordingly,

if (book.has_key("price"))
{
    double price = book["price"].as<double>();
    std::cout << price;
}
else
{
    std::cout << "n/a";
}

Constructing json values in C++

The default json constructor produces an empty json object. For example

json image_sizing;
std::cout << image_sizing << std::endl;

produces

{}

To construct a json object with members, take an empty json object and set some name-value pairs

image_sizing.set("Resize To Fit",true);  // a boolean 
image_sizing.set("Resize Unit", "pixels");  // a string
image_sizing.set("Resize What", "long_edge");  // a string
image_sizing.set("Dimension 1",9.84);  // a double
image_sizing.set("Dimension 2",json::null());  // a null value

Or, use an object initializer-list:

json file_settings = json::object{
    {"Image Format", "JPEG"},
    {"Color Space", "sRGB"},
    {"Limit File Size", true},
    {"Limit File Size To", 10000}
};

To construct a json array, initialize with the array type

json color_spaces = json::array();

and add some elements

color_spaces.add("sRGB");
color_spaces.add("AdobeRGB");
color_spaces.add("ProPhoto RGB");

Or, use an array initializer-list:

json image_formats = json::array{"JPEG","PSD","TIFF","DNG"};

The operator[] provides another way for setting name-value pairs.

json file_export;
file_export["File Format Options"]["Color Spaces"] = 
    std::move(color_spaces);
file_export["File Format Options"]["Image Formats"] = 
    std::move(image_formats);
file_export["File Settings"] = std::move(file_settings);
file_export["Image Sizing"] = std::move(image_sizing);

Note that if file_export["File Format Options"] doesn’t exist,

file_export["File Format Options"]["Color Spaces"] = 
    std::move(color_spaces)

creates "File Format Options" as an object and puts "Color Spaces" in it.

Serializing

std::cout << pretty_print(file_export) << std::endl;

produces

{
    "File Format Options": {
        "Color Spaces": ["sRGB","AdobeRGB","ProPhoto RGB"],
        "Image Formats": ["JPEG","PSD","TIFF","DNG"]
    },
    "File Settings": {
        "Color Space": "sRGB",
        "Image Format": "JPEG",
        "Limit File Size": true,
        "Limit File Size To": 10000
    },
    "Image Sizing": {
        "Dimension 1": 9.84,
        "Dimension 2": null,
        "Resize To Fit": true,
        "Resize Unit": "pixels",
        "Resize What": "long_edge"
    }
}

Converting to and from standard library containers

The jsoncons library supports converting to and from the standard library sequence and associative containers.

std::vector<int> v = {1,2,3,4};
json j(v);
std::cout << j << std::endl;

Output:

[1,2,3,4]
json j = json::array{1,true,"last"};
auto d = j.as<std::deque<std::string>>();
for (auto x : d)
{
    std::cout << x << std::endl;
}

Output:

1
true
last

std::map<std::string,int> m = {{"one",1},{"two",2},{"three",3}};
json j(m);
std::cout << j << std::endl;

Output:

{"one":1,"three":3,"two":2}
json j;
j["one"] = 1;
j["two"] = 2;
j["three"] = 3;

auto um = j.as<std::unordered_map<std::string,int>>();
for (const auto& x : um)
{
    std::cout << x.first << "=" << x.second << std::endl;
}

Output:

one=1
three=3
two=2

Converting CSV files to json

Example CSV file (tasks.csv):

project_id, task_name, task_start, task_finish
4001,task1,01/01/2003,01/31/2003
4001,task2,02/01/2003,02/28/2003
4001,task3,03/01/2003,03/31/2003
4002,task1,04/01/2003,04/30/2003
4002,task2,05/01/2003,

You can read the CSV file into a json value with the csv_reader.

#include <jsoncons_ext/csv/csv_reader.hpp>

using jsoncons::csv::csv_parameters;
using jsoncons::csv::csv_reader;
using jsoncons::json_decoder;

std::fstream is("tasks.csv");

json_decoder<json> decoder;

csv_parameters params;
params.assume_header(true)
      .trim(true)
      .ignore_empty_values(true)
      .column_types({"integer","string","string","string"});

csv_reader reader(is,decoder,params);
reader.read();
json val = decoder.get_result();

std::cout << pretty_print(val) << std::endl;

Output:

[
    {
        "project_id":4001,
        "task_finish":"01/31/2003",
        "task_name":"task1",
        "task_start":"01/01/2003"
    },
    {
        "project_id":4001,
        "task_finish":"02/28/2003",
        "task_name":"task2",
        "task_start":"02/01/2003"
    },
    {
        "project_id":4001,
        "task_finish":"03/31/2003",
        "task_name":"task3",
        "task_start":"03/01/2003"
    },
    {
        "project_id":4002,
        "task_finish":"04/30/2003",
        "task_name":"task1",
        "task_start":"04/01/2003"
    },
    {
        "project_id":4002,
        "task_name":"task2",
        "task_start":"05/01/2003"
    }
]

There are a few things to note about the effect of the parameter settings.

Pretty print

The pretty_print function applies stylistic formatting to JSON text. For example

    json val;

    val["verts"] = json::array{1, 2, 3};
    val["normals"] = json::array{1, 0, 1};
    val["uvs"] = json::array{0, 0, 1, 1};

    std::cout << pretty_print(val) << std::endl;

produces

{
    "normals": [1,0,1],
    "uvs": [0,0,1,1],
    "verts": [1,2,3]
}

By default, within objects, arrays of scalar values are displayed on the same line.

The pretty_print function takes an optional second parameter, serialization_options, that allows custom formatting of output. To display the array scalar values on a new line, set the object_array_split_lines property to line_split_kind::new_line. The code

serialization_options options;
format.object_array_split_lines(line_split_kind::new_line);
std::cout << pretty_print(val,options) << std::endl;

produces

{
    "normals": [
        1,0,1
    ],
    "uvs": [
        0,0,1,1
    ],
    "verts": [
        1,2,3
    ]
}

To display the elements of array values on multiple lines, set the object_array_split_lines property to line_split_kind::multi_line. The code

serialization_options options;
format.object_array_split_lines(line_split_kind::multi_line);
std::cout << pretty_print(val,options) << std::endl;

produces

{
    "normals": [
        1,
        0,
        1
    ],
    "uvs": [
        0,
        0,
        1,
        1
    ],
    "verts": [
        1,
        2,
        3
    ]
}

Filters

You can rename object member names with the built in filter rename_name_filter

#include <sstream>
#include <jsoncons/json.hpp>
#include <jsoncons/json_filter.hpp>

using namespace jsoncons;

int main()
{
    std::string s = R"({"first":1,"second":2,"fourth":3,"fifth":4})";    

    json_serializer serializer(std::cout);

    // Filters can be chained
    rename_name_filter filter2("fifth", "fourth", serializer);
    rename_name_filter filter1("fourth", "third", filter2);

    // A filter can be passed to any function that takes
    // a json_input_handler ...
    std::cout << "(1) ";
    std::istringstream is(s);
    json_reader reader(is, filter1);
    reader.read();
    std::cout << std::endl;

    // or a json_output_handler    
    std::cout << "(2) ";
    ojson j = ojson::parse(s);
    j.dump(filter1);
    std::cout << std::endl;
}

Output:

(1) {"first":1,"second":2,"third":3,"fourth":4}
(2) {"first":1,"second":2,"third":3,"fourth":4}

Or define and use your own filters. See json_filter for details.

JsonPath

Stefan Goessner’s JsonPath is an XPATH inspired query language for selecting parts of a JSON structure.

Example JSON file (store.json):

{ "store": {
    "book": [ 
      { "category": "reference",
        "author": "Nigel Rees",
        "title": "Sayings of the Century",
        "price": 8.95
      },
      { "category": "fiction",
        "author": "Evelyn Waugh",
        "title": "Sword of Honour",
        "price": 12.99
      },
      { "category": "fiction",
        "author": "Herman Melville",
        "title": "Moby Dick",
        "isbn": "0-553-21311-3",
        "price": 8.99
      },
      { "category": "fiction",
        "author": "J. R. R. Tolkien",
        "title": "The Lord of the Rings",
        "isbn": "0-395-19395-8",
        "price": 22.99
      }
    ]
  }
}

JsonPath examples:

#include <jsoncons_ext/jsonpath/json_query.hpp>

using jsoncons::jsonpath::json_query;

json root = json::parse_file("store.json");

// The authors of books that are cheaper than $10
json result1 = json_query(booklist, "$.store.book[?(@.price < 10)].author");
std::cout << "(1) " << result1 << std::endl;

// The number of books
json result2 = json_query(booklist, "$..book.length");
std::cout << "(2) " << result2 << std::endl;

// The third book
json result3 = json_query(booklist, "$..book[2]");
std::cout << "(3)\n" << pretty_print(result3) << std::endl;

// All books whose author's name starts with Evelyn
json result4 = json_query(booklist, "$.store.book[?(@.author =~ /Evelyn.*?/)]");
std::cout << "(4)\n" << pretty_print(result4) << std::endl;

// The titles of all books that have isbn number
json result5 = json_query(booklist, "$..book[?(@.isbn)].title");
std::cout << "(5) " << result5 << std::endl;

// All authors and titles of books
json result6 = json_query(booklist, "$['store']['book']..['author','title']");
std::cout << "(6)\n" << pretty_print(result6) << std::endl;

Output:

(1) ["Nigel Rees","Herman Melville"]
(2) [4]
(3)
[
    {
        "author": "Herman Melville",
        "category": "fiction",
        "isbn": "0-553-21311-3",
        "price": 8.99,
        "title": "Moby Dick"
    }
]
(4)
[
    {
        "author": "Evelyn Waugh",
        "category": "fiction",
        "price": 12.99,
        "title": "Sword of Honour"
    }
]
(5) ["Moby Dick","The Lord of the Rings"]
(6)
[
    "Nigel Rees",
    "Sayings of the Century",
    "Evelyn Waugh",
    "Sword of Honour",
    "Herman Melville",
    "Moby Dick",
    "J. R. R. Tolkien",
    "The Lord of the Rings"
]

About jsoncons::json

The json class is an instantiation of the basic_json class template that uses char as the character type and sorts object members in alphabetically order.

typedef basic_json<char,
                   JsonTraits = json_traits<char>,
                   Allocator = std::allocator<char>> json;

If you prefer to retain the original insertion order, use ojson instead.

The library includes an instantiation for wide characters as well, wjson

typedef basic_json<wchar_t,
                   JsonTraits = json_traits<wchar_t>,
                   Allocator = std::allocator<wchar_t>> wjson;

If you prefer to retain the original insertion order, use wojson instead.

Note that the allocator type allows you to supply a custom allocator. For example, you can use the boost fast_pool_allocator:

#include <boost/pool/pool_alloc.hpp>
#include <jsoncons/json.hpp>

typedef jsoncons::basic_json<char, boost::fast_pool_allocator<char>> myjson;

myjson o;

o.set("FirstName","Joe");
o.set("LastName","Smith");

This results in a json value being constucted with all memory being allocated from the boost memory pool. (In this particular case there is no improvement in performance over std::allocator.)

Note that the underlying memory pool used by the boost::fast_pool_allocator is never freed.

Wide character support

jsoncons supports wide character strings and streams with wjson and wjson_reader. It supports UTF16 encoding if wchar_t has size 2 (Windows) and UTF32 encoding if wchar_t has size 4. You can construct a wjson value in exactly the same way as a json value, for instance:

using jsoncons::wjson;

wjson root;
root[L"field1"] = L"test";
root[L"field2"] = 3.9;
root[L"field3"] = true;

std::wcout << root << L"\n";

which prints

{"field1":"test","field2":3.9,"field3":true}

ojson and wojson

The ojson (wojson) class is an instantiation of the basic_json class template that uses char (wchar_t) as the character type and keeps object members in their original order.

ojson o = ojson::parse(R"(
{
    "street_number" : "100",
    "street_name" : "Queen St W",
    "city" : "Toronto",
    "country" : "Canada"
}
)");

std::cout << pretty_print(o) << std::endl;

Output:

{
    "street_number": "100",
    "street_name": "Queen St W",
    "city": "Toronto",
    "country": "Canada"
}

Insert “postal_code” at end

o.set("postal_code", "M5H 2N2");

std::cout << pretty_print(o) << std::endl;

Output:

{
    "street_number": "100",
    "street_name": "Queen St W",
    "city": "Toronto",
    "country": "Canada",
    "postal_code": "M5H 2N2"
}

Insert “province” before “country”

auto it = o.find("country");
o.set(it,"province","Ontario");

std::cout << pretty_print(o) << std::endl;

Output:

{
    "street_number": "100",
    "street_name": "Queen St W",
    "city": "Toronto",
    "province": "Ontario",
    "country": "Canada",
    "postal_code": "M5H 2N2"
}

Convert json to/from user defined type

In the json class, constructors, accessors and modifiers are templated, for example,

template <class T>
json(const T& val)

template<class T>
bool is() const

template<class T>
T as() const

template <class T>
basic_json& operator=(const T& val)

template <class T>
void add(const T& val)

The implementations of these functions and operators make use of the class template json_type_traits

This json_type_traits template is extensible, you, the user, can extend json_type_traits in the jsoncons namespace with your own types. For example, you can provide a specialization of json_type_traits for a book class, and then transfer book objects or standard library collections of book objects to and from json values.

struct book
{
    std::string author;
    std::string title;
    double price;
};

namespace jsoncons
{
    template<class Json>
    struct json_type_traits<Json, book>
    {
        static bool is(const Json& rhs) noexcept
        {
            return rhs.is_object() &&
                   rhs.has_key("author") && 
                   rhs.has_key("title") && 
                   rhs.has_key("price");
        }
        static book as(const Json& rhs)
        {
            book val;
            val.author = rhs["author"]. template as<std::string>();
            val.title = rhs["title"]. template as<std::string>();
            val.price = rhs["price"]. template as<double>();
            return val;
        }
        static Json to_json(const book& val)
        {
            Json j;
            j["author"] = val.author;
            j["title"] = val.title;
            j["price"] = val.price;
            return j;
        }
    };
};

int main()
{
    book book1{"Haruki Murakami", "Kafka on the Shore", 25.17};

    json j = book1;

    std::cout << "(1) " << std::boolalpha << j.is<book>() << "\n\n";

    std::cout << "(2) " << pretty_print(j) << "\n\n";

    book temp = j.as<book>();
    std::cout << "(3) " << temp.author << "," 
                        << temp.title << "," 
                        << temp.price << "\n\n";

    book book2{"Charles Bukowski", "Women: A Novel", 12.0};

    std::vector<book> book_array{book1, book2};

    json ja = book_array;

    std::cout << "(4) " << std::boolalpha 
                        << ja.is<std::vector<book>>() << "\n\n";

    std::cout << "(5)\n" << pretty_print(ja) << "\n\n";

    auto book_list = ja.as<std::list<book>>();

    std::cout << "(6)" << std::endl;
    for (auto b : book_list)
    {
        std::cout << b.author << ", " 
                  << b.title << ", " 
                  << b.price << std::endl;
    }
}

Output:

(1) true

(2) {
    "author": "Haruki Murakami",
    "price": 25.17,
    "title": "Kafka on the Shore"
}

(3) Haruki Murakami,Kafka on the Shore,25.17

(4) true

(5)
[
    {
        "author": "Haruki Murakami",
        "price": 25.17,
        "title": "Kafka on the Shore"
    },
    {
        "author": "Charles Bukowski",
        "price": 12.0,
        "title": "Women: A Novel"
    }
]

(6)
Haruki Murakami, Kafka on the Shore, 25.17
Charles Bukowski, Women: A Novel, 12