e0346df1b2
In Coin when provisioning for Android, we download and configure the OpenSSL package, but don't actually build it. This means that find_package(OpenSSL) can find the headers, but not the library, and thus the package is marked as not found. Previously the openssl_headers feature used the result of finding the OpenSSL package, which led to it being disabled in the above described Android case. Introduce 2 new find scripts FindWrapOpenSSL and FindWrapOpenSSLHeaders. FindWrapOpenSSLHeaders wraps FindOpenSSL, and checks if the headers were found, regardless of the OpenSSL_FOUND value, which can be used for implementing the openssl_headers feature. FindWrapOpenSSL uses FindWrapOpenSSLHeaders, and simply wraps the OpenSSL target if available. The find scripts also have to set CMAKE_FIND_ROOT_PATH for Android. Otherwise when someone passes in an OPENSSL_ROOT_DIR, its value will always be prepended to the Android sysroot, causing the package not to be found. Adjust the mapping in helper.py to use the targets created by these find scripts. This also replaces the openssl/nolink target. Adjust the projects and tests to use the new target names. Adjust the compile tests for dtls and oscp to use the WrapOpenSSLHeaders target, so that the features can be enabled even if the library is dlopen-ed (like on Android). Task-number: QTBUG-83371 Change-Id: I738600e5aafef47a57e1db070be40116ca8ab995 Reviewed-by: Simon Hausmann <simon.hausmann@qt.io> Reviewed-by: Qt CI Bot <qt_ci_bot@qt-project.org> |
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.. | ||
tests | ||
cmakeconversionrate.py | ||
condition_simplifier_cache.py | ||
condition_simplifier.py | ||
configurejson2cmake.py | ||
generate_module_map.sh | ||
helper.py | ||
json_parser.py | ||
Makefile | ||
Pipfile | ||
pro2cmake.py | ||
pro_conversion_rate.py | ||
qmake_parser.py | ||
README.md | ||
requirements.txt | ||
run_pro2cmake.py | ||
special_case_helper.py |
CMake Utils
This directory holds scripts to help the porting process from qmake
to cmake
for Qt6.
Requirements
- Python 3.7,
pipenv
orpip
to manage the modules.
Python modules
Since Python has many ways of handling projects, you have a couple of options to install the dependencies of the scripts:
Using pipenv
The dependencies are specified on the Pipfile
, so you just need to run
pipenv install
and that will automatically create a virtual environment
that you can activate with a pipenv shell
.
Using pip
It's highly recommended to use a virtualenvironment
to avoid conflict with other packages that are already installed: pip install virtualenv
.
- Create an environment:
virtualenv env
, - Activate the environment:
source env/bin/activate
(on Windows:source env\Scripts\activate.bat
) - Install the requirements:
pip install -r requirements.txt
If the pip install
command above doesn't work, try:
python3.7 -m pip install -r requirements.txt
Contributing to the scripts
You can verify if the styling of a script complaint with PEP8, with a couple of exceptions:
Install flake8 (pip install flake8
) and run it
on the script you want to test:
flake8 <file>.py --ignore=E501,E266,W503
E501
: Line too long (82>79 characters),E266
: Too many leading '#' for block comment,W503
: Line break occurred before a binary operator)
You can also modify the file with an automatic formatter,
like black (pip install black
),
and execute it:
black -l 100 <file>.py
Using Qt's maximum line length, 100.