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.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_scripts/meson_builder.sh
). Other systems may work, but minor
things like version strings might break.
First, install both meson (which requires Python3) and ninja. If you wish to install to a directory other than /usr/local, set an environment variable called DESTDIR with the desired path: DESTDIR=/path/to/install/dir
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-${LIB_TYPE} test # This stopped working on my Mac.
ninja -v -C build-${LIB_TYPE}
cd build-${LIB_TYPE}
meson test --no-rebuild --print-errorlogs
sudo ninja install
See https://github.com/open-source-parsers/jsoncpp/wiki/Building
You need to run tests manually only if you are troubleshooting an issue.
In the instructions below, replace path/to/jsontest
with the path of the
jsontest
executable that was compiled on your platform.
cd test
# This will run the Reader/Writer tests
python runjsontests.py path/to/jsontest
# This will run the Reader/Writer tests, using JSONChecker test suite
# (http://www.json.org/JSON_checker/).
# Notes: not all tests pass: JsonCpp is too lenient (for example,
# it allows an integer to start with '0'). The goal is to improve
# strict mode parsing to get all tests to pass.
python runjsontests.py --with-json-checker path/to/jsontest
# This will run the unit tests (mostly Value)
python rununittests.py path/to/test_lib_json
# You can run the tests using valgrind:
python rununittests.py --valgrind path/to/test_lib_json
Run the Python script doxybuild.py
from the top directory:
python doxybuild.py --doxygen=$(which doxygen) --open --with-dot
See doxybuild.py --help
for options.
To add a test, you need to create two files in test/data:
TESTNAME.json
file, that contains the input document in JSON format.TESTNAME.expected
file, that contains a flatened representation of the
input document.The TESTNAME.expected
file format is as follows:
=
. Array and object values are always empty (i.e.
represented by either []
or {}
)..
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 are using the Meson Build System, then you can get a wrap file by downloading it from Meson WrapDB, or simply use meson wrap install jsoncpp
.
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.
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。