JSON is a lightweight data-interchange format. It can represent numbers, strings, ordered sequences of values, and collections of name/value pairs.

JsonCpp is a C++ library that allows manipulating JSON values, including serialization and deserialization to and from strings. It can also preserve existing comment in unserialization/serialization steps, making it a convenient format to store user input files.

JsonCpp documentation is generated using Doxygen.

• 1.y.z is built with C++11.
• 0.y.z can be used with older compilers.
• Major versions maintain binary-compatibility.

Thanks to David Seifert (@SoapGentoo), we (the maintainers) now use meson and ninja to build for debugging, as well as for continuous integration (see travis.sh ). Other systems may work, but minor things like version strings might break.

First, install both meson (which requires Python3) and ninja.

Then,

cd jsoncpp/
BUILD_TYPE=debug
#BUILD_TYPE=release
LIB_TYPE=shared
#LIB_TYPE=static
meson --buildtype ${BUILD_TYPE} --default-library ${LIB_TYPE} . build-${LIB_TYPE}
ninja -v -C build-${LIB_TYPE} test
cd build-${LIB_TYPE}
sudo ninja install

See https://github.com/open-source-parsers/jsoncpp/wiki/Building

You need to run tests manually only if you are troubleshooting an issue.

In the instructions below, replace path/to/jsontest with the path of the jsontest executable that was compiled on your platform.

cd test
# This will run the Reader/Writer tests
python runjsontests.py path/to/jsontest

# This will run the Reader/Writer tests, using JSONChecker test suite
# (http://www.json.org/JSON_checker/).
# Notes: not all tests pass: JsonCpp is too lenient (for example,
# it allows an integer to start with '0'). The goal is to improve
# strict mode parsing to get all tests to pass.
python runjsontests.py --with-json-checker path/to/jsontest

# This will run the unit tests (mostly Value)
python rununittests.py path/to/test_lib_json

# You can run the tests using valgrind:
python rununittests.py --valgrind path/to/test_lib_json

Run the Python script doxybuild.py from the top directory:

python doxybuild.py --doxygen=$(which doxygen) --open --with-dot

See doxybuild.py --help for options.

To add a test, you need to create two files in test/data:

• a TESTNAME.json file, that contains the input document in JSON format.
• a TESTNAME.expected file, that contains a flatened representation of the input document.

The TESTNAME.expected file format is as follows:

• Each line represents a JSON element of the element tree represented by the input document.
• Each line has two parts: the path to access the element separated from the element value by =. Array and object values are always empty (i.e. represented by either [] or {}).
• Element path . represents the root element, and is used to separate object members. [N] is used to specify the value of an array element at index N.

See the examples test_complex_01.json and test_complex_01.expected to better understand element paths.

When a test is run, output files are generated beside the input test files. Below is a short description of the content of each file:

• test_complex_01.json: input JSON document.
• test_complex_01.expected: flattened JSON element tree used to check if parsing was corrected.
• test_complex_01.actual: flattened JSON element tree produced by jsontest from reading test_complex_01.json.
• test_complex_01.rewrite: JSON document written by jsontest using the Json::Value parsed from test_complex_01.json and serialized using Json::StyledWritter.
• test_complex_01.actual-rewrite: flattened JSON element tree produced by jsontest from reading test_complex_01.rewrite.
• test_complex_01.process-output: jsontest output, typically useful for understanding parsing errors.

https://github.com/open-source-parsers/jsoncpp/wiki/Amalgamated

If you have trouble, see the Wiki, or post a question as an Issue.

See the LICENSE file for details. In summary, JsonCpp is licensed under the MIT license, or public domain if desired and recognized in your jurisdiction.