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README.txt
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README.txt
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* Introduction:
=============
JSON (JavaScript Object Notation) is a lightweight data-interchange format.
It can represent integer, real number, string, an ordered sequence of
value, and a collection of name/value pairs.
JsonCpp is a simple API to manipulate JSON value, handle serialization
and unserialization to string.
It can also preserve existing comment in unserialization/serialization steps,
making it a convenient format to store user input files.
Unserialization parsing is user friendly and provides precise error reports.
* Building/Testing:
=================
JsonCpp uses Scons (http://www.scons.org) as a build system. Scons requires
python to be installed (http://www.python.org).
You download scons-local distribution from the following url:
http://sourceforge.net/project/showfiles.php?group_id=30337&package_id=67375
Unzip it in the directory where you found this README file. scons.py Should be
at the same level as README.
python scons.py platform=PLTFRM [TARGET]
where PLTFRM may be one of:
suncc Sun C++ (Solaris)
vacpp Visual Age C++ (AIX)
mingw
msvc6 Microsoft Visual Studio 6 service pack 5-6
msvc70 Microsoft Visual Studio 2002
msvc71 Microsoft Visual Studio 2003
msvc80 Microsoft Visual Studio 2005
linux-gcc Gnu C++ (linux, also reported to work for Mac OS X)
adding platform is fairly simple. You need to change the Sconstruct file
to do so.
and TARGET may be:
check: build library and run unit tests.
* Running the test manually:
==========================
cd test
# This will run the Reader/Writer tests
python runjsontests.py "path to jsontest.exe"
# 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.exe"
# This will run the unit tests (mostly Value)
python rununittests.py "path to test_lib_json.exe"
You can run the tests using valgrind:
python rununittests.py --valgrind "path to test_lib_json.exe"
* Building the documentation:
===========================
Run the python script doxybuild.py from the top directory:
python doxybuild.py --open --with-dot
See doxybuild.py --help for options.
* Adding a reader/writer test:
============================
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.
TESTNAME.expected file format:
- 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
(e.g. represented by either [] or {}).
- element path: '.' represented 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 test_complex_01.json and test_complex_01.expected to better understand
element path.
* Understanding reader/writer test output:
========================================
When a test is run, output files are generated aside 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.exe from reading test_complex_01.json
- test_complex_01.rewrite: JSON document written by jsontest.exe 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.exe from reading test_complex_01.rewrite.
test_complex_01.process-output: jsontest.exe output, typically useful to
understand parsing error.