conan-qt | The recipe is now in https | SSH Utils library
kandi X-RAY | conan-qt Summary
kandi X-RAY | conan-qt Summary
[OBSOLETE] The recipe is now in
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Top functions reviewed by kandi - BETA
- Builds cmake files
- Configure CMake instance
- Configures the recipe
- Return the xplatform platform
- Install Qt package
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QUESTION
I'm trying to build our application using Qt 5.13.0 installed via Conan/Artifactory. We run our own Artifactory server and the Qt version there is self-build (and statically linked) in our CI solution. We use the Conan recipe for Qt written by the bincrafters, slightly modified to apply some patches for known Qt bugs and set some flags for building properly on Android and WebAssembly.
When trying to build the application, the linker fails to find the necessary dependencies for Qt itself because it tries to look them up in the home folder of the user who build the Qt package, not the user who's running the build.
Here's an excerpt from the build log, showing the attempt at linking all previously compiled object files together:
...ANSWER
Answered 2019-Sep-17 at 11:00Indeed, when building qt, all paths to dependencies are hardcoded in configurations files (mkspecs\modules\qt_lib_*.pri).
I assume you are building your application with qmake, because you use static qt, and static qt is incompatible with cmake. One thing you could try is to pass the full path to harfbuzz lib to qmake by adding argument QMAKE_LIBS_HARFBUZZ=/home/kaupes/.conan/data/harfbuzz/2.4.0/bje/stable/package/c68551ae35bf5d62e66263379d58a38416eb84a9/lib/libharfbuzz.a
to your qmake invocation.
Edit: it seems to be a knwonw behaviour of qt >= 5.12.1 : https://bugreports.qt.io/browse/QTBUG-72903. This feature has been reverted in 5.14.x and 5.15.x with https://github.com/qt/qtbase/commit/9864d2c6f3b628ca9f07a56b197e77bd43931cca
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Install conan-qt
You can use conan-qt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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