
.. highlight:: cpp

JSON
====

The JSON part of orcus consists of a low-level parser class that handles
parsing of JSON strings, and a high-level document class that stores parsed
JSON structures as a node tree.

There are two approaches to processing JSON strings using the orcus library.
One approach is to utilize the :cpp:class:`~orcus::json::document_tree` class
to load and populate the JSON structure tree via its
:cpp:func:`~orcus::json::document_tree::load()` method and traverse the tree
through its :cpp:func:`~orcus::json::document_tree::get_document_root()` method.
This approach is ideal if you want a quick way to parse and access the content
of a JSON document with minimal effort.

Another approach is to use the low-level :cpp:class:`~orcus::json_parser`
class directly by providing your own handler class to receive callbacks from
the parser.  This method requires a bit more effort on your part to provide
and populate your own data structure, but if you already have a data structure
to store the content of JSON, then this approach is ideal.  The
:cpp:class:`~orcus::json::document_tree` class internally uses
:cpp:class:`~orcus::json_parser` to parse JSON contents.


Populating a document tree from JSON string
-------------------------------------------

The following code snippet shows an example of how to populate an instance of
:cpp:class:`~orcus::json::document_tree` from a JSON string, and navigate its
content tree afterward.

::

    #include <orcus/json_document_tree.hpp>
    #include <orcus/config.hpp>
    #include <orcus/pstring.hpp>

    #include <cstdlib>
    #include <iostream>

    using namespace std;

    const char* json_string = "{"
    "   \"name\": \"John Doe\","
    "   \"occupation\": \"Software Engineer\","
    "   \"score\": [89, 67, 90]"
    "}";

    int main()
    {
        using node = orcus::json::node;

        orcus::json_config config; // Use default configuration.

        orcus::json::document_tree doc;
        doc.load(json_string, config);

        // Root is an object containing three key-value pairs.
        node root = doc.get_document_root();

        for (const orcus::pstring& key : root.keys())
        {
            node value = root.child(key);
            switch (value.type())
            {
                case orcus::json::node_t::string:
                    // string value
                    cout << key << ": " << value.string_value() << endl;
                break;
                case orcus::json::node_t::array:
                {
                    // array value
                    cout << key << ":" << endl;

                    for (size_t i = 0; i < value.child_count(); ++i)
                    {
                        node array_element = value.child(i);
                        cout << "  - " << array_element.numeric_value() << endl;
                    }
                }
                break;
                default:
                    ;
            }
        }

        return EXIT_SUCCESS;
    }

You'll see the following output when executing this code:

.. code-block:: text

    name: John Doe
    occupation: Software Engineer
    score:
      - 89
      - 67
      - 90


Using the low-level parser
--------------------------

The following code snippet shows how to use the low-level :cpp:class:`~orcus::json_parser`
class by providing an own handler class and passing it as a template argument::

    #include <orcus/json_parser.hpp>
    #include <orcus/pstring.hpp>
    #include <cstring>
    #include <iostream>

    using namespace std;

    class json_parser_handler
    {
    public:
        void begin_parse()
        {
            cout << "begin parse" << endl;
        }

        void end_parse()
        {
            cout << "end parse" << endl;
        }

        void begin_array()
        {
            cout << "begin array" << endl;
        }

        void end_array()
        {
            cout << "end array" << endl;
        }

        void begin_object()
        {
            cout << "begin object" << endl;
        }

        void object_key(const char* p, size_t len, bool transient)
        {
            cout << "object key: " << orcus::pstring(p, len) << endl;
        }

        void end_object()
        {
            cout << "end object" << endl;
        }

        void boolean_true()
        {
            cout << "true" << endl;
        }

        void boolean_false()
        {
            cout << "false" << endl;
        }

        void null()
        {
            cout << "null" << endl;
        }

        void string(const char* p, size_t len, bool transient)
        {
            cout << "string: " << orcus::pstring(p, len) << endl;
        }

        void number(double val)
        {
            cout << "number: " << val << endl;
        }
    };

    int main()
    {
        const char* test_code = "{\"key1\": [1,2,3,4,5], \"key2\": 12.3}";
        size_t n = strlen(test_code);

        cout << "JSON string: " << test_code << endl;

        // Instantiate the parser with an own handler.
        json_parser_handler hdl;
        orcus::json_parser<json_parser_handler> parser(test_code, n, hdl);

        // Parse the string.
        parser.parse();

        return EXIT_SUCCESS;
    }

Executing this code will generate the following output:

.. code-block:: text

    JSON string: {"key1": [1,2,3,4,5], "key2": 12.3}
    begin parse
    begin object
    object key: key1
    begin array
    number: 1
    number: 2
    number: 3
    number: 4
    number: 5
    end array
    object key: key2
    number: 12.3
    end object
    end parse


Building a document tree directly
---------------------------------

You can also create and populate a JSON document tree directly without needing
to parse a JSON string.  This approach is ideal if you want to create a JSON
tree from scratch and export it as a string.  The following series of code
snippets demonstrate how to exactly build JSON document trees directly and
export their contents as JSON strings.

The first example shows how to initialize the tree with a simple array::

    orcus::json::document_tree doc = {
        1.0, 2.0, "string value", false, nullptr
    };

    std::cout << doc.dump() << std::endl;

You can simply specify the content of the array via initialization list and
assign it to the document.  The :cpp:func:`~orcus::json::document_tree::dump()`
method then turns the content into a single string instance, which looks like
the following:

.. code-block:: text

    [
        1,
        2,
        "string value",
        false,
        null
    ]

If you need to build a array of arrays, do like the following::

    orcus::json::document_tree doc = {
        { true, false, nullptr },
        { 1.1, 2.2, "text" }
    };

    std::cout << doc.dump() << std::endl;

This will create an array of two nested child arrays with three values each.
Dumping the content of the tree as a JSON string will produce something like
the following:

.. code-block:: text

    [
        [
            true,
            false,
            null
        ],
        [
            1.1,
            2.2,
            "text"
        ]
    ]

Creating an object can be done by nesting one of more key-value pairs, each of
which is surrounded by a pair of curly braces, inside another pair of curly
braces.  For example, the following code::

    orcus::json::document_tree doc = {
        { "key1", 1.2 },
        { "key2", "some text" },
    };

    std::cout << doc.dump() << std::endl;

produces the following output:

.. code-block:: text

    {
        "key1": 1.2,
        "key2": "some text"
    }

indicating that the tree consists of a single object having two key-value
pairs.

You may notice that this syntax is identical to the syntax for
creating an array of arrays as shown above.  In fact, in order for this to be
an object, each of the inner sequences must have exactly two values, and its
first value must be a string value.  Failing that, it will be interpreted as
an array of arrays.

As with arrays, nesting of objects is also supported.  The following code::

    orcus::json::document_tree doc = {
        { "parent1", {
                { "child1", true  },
                { "child2", false },
                { "child3", 123.4 },
            }
        },
        { "parent2", "not-nested" },
    };

    std::cout << doc.dump() << std::endl;

creates a root object having two key-value pairs one of which contains
another object having three key-value pairs, as evident in the following output
generated by this code:

.. code-block:: text

    {
        "parent1": {
            "child1": true,
            "child2": false,
            "child3": 123.4
        },
        "parent2": "not-nested"
    }

There is one caveat that you need to be aware of because of this special
object creation syntax.  When you have a nested array that exactly contains
two values and the first value is a string value, you must explicitly declare
that as an array by using an :cpp:class:`~orcus::json::array` class instance.
For instance, this code::

    orcus::json::document_tree doc = {
        { "array", { "one", 987.0 } }
    };

is intended to be an object containing an array.  However, because the supposed
inner array contains exactly two values and the first value is a string
value, which could be interpreted as a key-value pair for the outer object, it
ends up being too ambiguous and a :cpp:class:`~orcus::json::key_value_error`
exception gets thrown as a result.

To work around this ambiguity, you need to declare the inner array to be
explicit by using an :cpp:class:`~orcus::json::array` instance::

    using namespace orcus;

    json::document_tree doc = {
        { "array", json::array({ "one", 987.0 }) }
    };

This code now correctly generates a root object containing one key-value pair
whose value is an array:

.. code-block:: text

    {
        "array": [
            "one",
            987
        ]
    }

Similar ambiguity issue arises when you want to construct a tree consisting
only of an empty root object.  You may be tempted to write something like
this::

    using namespace orcus;

    json::document_tree doc = {};

However, this will result in leaving the tree entirely unpopulated i.e. the
tree will not even have a root node!  If you continue on and try to get a root
node from this tree, you'll get a :cpp:class:`~orcus::json::document_error`
thrown as a result.  If you inspect the error message stored in the exception::

    try
    {
        auto root = doc.get_document_root();
    }
    catch (const json::document_error& e)
    {
        std::cout << e.what() << std::endl;
    }

you will get

.. code-block:: text

    json::document_error: document tree is empty

giving you further proof that the tree is indeed empty!  The solution here is
to directly assign an instance of :cpp:class:`~orcus::json::object` to the
document tree, which will initialize the tree with an empty root object.  The
following code::

    using namespace orcus;

    json::document_tree doc = json::object();

    std::cout << doc.dump() << std::endl;

will therefore generate

.. code-block:: text

    {
    }

You can also use the :cpp:class:`~orcus::json::object` class instances to
indicate empty objects anythere in the tree.  For instance, this code::

    using namespace orcus;

    json::document_tree doc = {
        json::object(),
        json::object(),
        json::object()
    };

is intended to create an array containing three empty objects as its elements,
and that's exactly what it does:

.. code-block:: text

    [
        {
        },
        {
        },
        {
        }
    ]

So far all the examples have shown how to initialize the document tree as the
tree itself is being constructed.  But our next example shows how to create
new key-value pairs to existing objects after the document tree instance has
been initialized.

::

    using namespace orcus;

    // Initialize the tree with an empty object.
    json::document_tree doc = json::object();

    // Get the root object, and assign three key-value pairs.
    json::node root = doc.get_document_root();
    root["child1"] = 1.0;
    root["child2"] = "string";
    root["child3"] = { true, false }; // implicit array

    // You can also create a key-value pair whose value is another object.
    root["child object"] = {
        { "key1", 100.0 },
        { "key2", 200.0 }
    };

    root["child array"] = json::array({ 1.1, 1.2, true }); // explicit array

This code first initializes the tree with an empty object, then retrieves the
root empty object and assigns several key-value pairs to it.  When converting
the tree content to a string and inspecting it you'll see something like the
following:

.. code-block:: text

    {
        "child array": [
            1.1,
            1.2,
            true
        ],
        "child1": 1,
        "child3": [
            true,
            false
        ],
        "child2": "string",
        "child object": {
            "key1": 100,
            "key2": 200
        }
    }

The next example shows how to append values to an existing array after the
tree has been constructed.  Let's take a look at the code::

    using namespace orcus;

    // Initialize the tree with an empty array root.
    json::document_tree doc = json::array();

    // Get the root array.
    json::node root = doc.get_document_root();

    // Append values to the array.
    root.push_back(-1.2);
    root.push_back("string");
    root.push_back(true);
    root.push_back(nullptr);

    // You can append an object to the array via push_back() as well.
    root.push_back({{"key1", 1.1}, {"key2", 1.2}});

Like the previous example, this code first initializes the tree but this time
with an empty array as its root, retrieves the root array, then appends
several values to it via its :cpp:func:`~orcus::json::node::push_back` method.

When you dump the content of this tree as a JSON string you'll get something
like this:

.. code-block:: text

    [
        -1.2,
        "string",
        true,
        null,
        {
            "key1": 1.1,
            "key2": 1.2
        }
    ]

