2014-06-13 11:53:51 +01:00
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Building UPM {#building}
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============
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UPM uses cmake in order to make compilation relatively painless. Cmake runs
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build out of tree so the recommended way is to clone from git and make a build/
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directory.
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2016-08-30 12:44:30 -07:00
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**Dependencies**
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* basic: libmraa, cmake, swig, pkgconfig, pthreads, librt
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* bindings: python-dev, nodejs-dev, openjdk
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* documentation: doxygen, graphviz, sphinx, yuidoc
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* sensor specific: bacnet-mstp, modbus, openzwave, jpeg
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2015-12-10 13:57:55 -08:00
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This project depends on libmraa, so that needs to be installed first. Append
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the install location of mraa pkgconfig to the following environment variable:
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2016-08-30 12:44:30 -07:00
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~~~~~~~~~~~~~
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PKG_CONFIG_PATH=$PKG_CONFIG_PATH:.../mraa/build/lib/pkgconfig
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~~~~~~~~~~~~~
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If you are building the Java or Node.js bindings make sure you set the
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`JAVA_HOME` and `NODE_PATH` environment variables respectively.
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2014-06-13 11:53:51 +01:00
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UPM will attempt to build all directories inside src/ and they must contain
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individual CMakeLists.txt files.
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~~~~~~~~~~~~~{.sh}
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mkdir build
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cd build
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cmake ..
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make
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make install
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2014-06-13 11:53:51 +01:00
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~~~~~~~~~~~~~
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2015-05-08 16:06:40 -07:00
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The last command will create the include/ and lib/ directories with a copy of
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the headers and library objects respectively in your build location. Note that
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doing an out-of-source build may cause issues when rebuilding later on. In many
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cases you'll need elevated permissions to install:
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~~~~~~~~~~~~~{.sh}
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sudo make install
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~~~~~~~~~~~~~
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2015-03-12 12:14:24 -07:00
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Our cmake configure has a number of options, *cmake-gui* or *ccmake* can show
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you all the options. The interesting ones are detailed below:
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2014-06-13 11:53:51 +01:00
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Changing install path from /usr/local to /usr
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~~~~~~~~~~~~~
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-DCMAKE_INSTALL_PREFIX:PATH=/usr
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~~~~~~~~~~~~~
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Building debug build:
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~~~~~~~~~~~~~
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-DCMAKE_BUILD_TYPE=DEBUG
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~~~~~~~~~~~~~
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Using clang instead of gcc:
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~~~~~~~~~~~~~
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-DCMAKE_C_COMPILER=/usr/bin/clang -DCMAKE_CXX_COMPILER=/usr/bin/clang++
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~~~~~~~~~~~~~
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Cross-compiling on a different system:
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~~~~~~~~~~~~~
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-DCMAKE_CXX_FLAGS:STRING=-m32 -march=i586
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-DCMAKE_C_FLAGS:STRING=-m32 -march=i586
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~~~~~~~~~~~~~
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Enabling Java module building
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~~~~~~~~~~~~~
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-DBUILDSWIGJAVA=ON
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~~~~~~~~~~~~~
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2014-11-09 12:25:48 +00:00
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Building with an older version of swig (swig 2.0+) requires the disabling of javascript:
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~~~~~~~~~~~~~
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-DBUILDSWIGNODE=OFF
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~~~~~~~~~~~~~
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Disabling python module building
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~~~~~~~~~~~~~
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-DBUILDSWIGPYTHON=OFF
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~~~~~~~~~~~~~
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Setting the python library to use:
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~~~~~~~~~~~~~
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-DPYTHON_LIBRARY:FILEPATH=/usr/lib/libpython2.7.so.1.0
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~~~~~~~~~~~~~
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Building documentation
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~~~~~~~~~~~~~
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-DBUILDDOC=ON
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~~~~~~~~~~~~~
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Build C/C++/JAVA examples
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~~~~~~~~~~~~~
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-DBUILDEXAMPLES=ON
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~~~~~~~~~~~~~
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2015-03-12 12:14:24 -07:00
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2016-08-30 12:44:30 -07:00
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If you intend to turn on all the options and build everything at once
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(C++, Java, Node, Python and Documentation) you will have to edit the
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src/doxy2swig.py file and change the line endings from Windows style to Linux
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format. This has to be repeated every time to sync with the master branch since
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our Github repository stores files using CR LF line breaks.
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2015-03-04 11:55:53 -08:00
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You can also generate the include and lib directories containing all the sensor
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headers and library files respectively with *make install*. Further, you may
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choose to generate these only for a specific sensor you modified, and this can
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be achieved by building from the individual makefile of the sensor. Assuming
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you're in the build directory, to build/install the lcd module you would:
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~~~~~~~~~~~~~
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cd src/lcd
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make install
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~~~~~~~~~~~~~
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2014-11-09 12:25:48 +00:00
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2018-04-17 15:37:12 -07:00
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Note: 'make install' under src/lcd will build all targets (and dependencies)
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for the lcd but will NOT install dependencies.
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2014-07-14 10:49:17 +01:00
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Often developers are only interested in building one module or even just the
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python/node module to do some quick testing using scripting. In order to do
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this you need to use the target name for the python or node module you want to
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rebuild. For example, the lcd module target will have a python2 target prefixed
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by _pyupm_ (_pyupm_lcd-python2). Modules not using the UPM cmake macros may
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have different naming. To build the python2 lcd module (and all dependencies),
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use the following make target:
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~~~~~~~~~~~~~
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make _pyupm_lcd-python2
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~~~~~~~~~~~~~
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Sometimes you want to build a small C++ example against an installed library.
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This is fairly easy if installed system-wide. Just link against the correct
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library (in this case libupm-lcd) and then add /usr/include/upm to the
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loader path:
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~~~~~~~~~~~~
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g++ test.cxx -lupm-lcd -I/usr/include/upm
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~~~~~~~~~~~~
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You can also use pkg-config to return the information to you, which is
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considered the correct way if including UPM in a build system like cmake or
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autotools on linux.
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~~~~~~~~~~~
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pkg-config --cflags --libs upm-lcd
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~~~~~~~~~~~
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2017-10-05 15:39:07 -03:00
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## Building for Android Things
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Requirements:
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* [io.mraa.at](https://search.maven.org/#artifactdetails%7Cio.mraa.at%7Cmraa%7C1.8.0%7Caar)
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* [io.mraa.at.upm](https://search.maven.org/#artifactdetails%7Cio.mraa.at.upm%7Cupm_zfm20%7C1.3.0%7Caar)
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* [Android NDK](https://developer.android.com/ndk/downloads/index.html) >= 14b
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### Android NDK r14b
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~~~~~~~~~~~~~{.sh}
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NDK_HOME="/path/to/android-ndk-r14b"
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MRAA_INSTALL_DIR="/path/to/mraa/install"
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cmake -DBUILDSWIG=ON \
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-DBUILDSWIGPYTHON=OFF \
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-DBUILDSWIGNODE=OFF \
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-DBUILDSWIGJAVA=ON \
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-DANDROID_COMPILER_FLAGS_CXX='-std=c++11' \
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-DANDROID_PIE=1 \
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-DANDROID_PLATFORM=android-24 \
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-DANDROID_STL_FORCE_FEATURES=ON \
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-DANDROID_STL=c++_shared \
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-DANDROID_TOOLCHAIN_NAME=x86-i686 \
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-DCMAKE_TOOLCHAIN_FILE=$NDK_HOME/build/cmake/android.toolchain.cmake \
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-DCMAKE_FIND_ROOT_PATH=$MRAA_INSTALL_DIR \
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..
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~~~~~~~~~~~~~
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2017-07-10 07:28:18 -07:00
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## Building with Docker
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You can use `docker` and `docker-compose` to generate a complete build environment
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for upm without having to install any other tool.
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Requirements:
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* [docker](https://www.docker.com/get-docker) >= 1.12.6
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* [docker-compose](https://docs.docker.com/compose/install/) >= 1.9.0
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**NOTE:** docker-compose is an optional requirement. It actually make running complex
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docker build and run command easier. But you can just use docker to build and run.
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### Using Docker Images to build Upm
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**tl;dr:** Just use this commands to build upm:
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```sh
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# Build upm documentation
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$ docker-compose run doc
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# Build upm python2 and python3 packages and run python tests
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$ docker-compose run python
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# Build upm java package and run java tests
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$ docker-compose run java
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# Build upm node4 package and run node tests
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$ docker-compose run node4
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# Build upm node5 package and run node tests
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$ docker-compose run node5
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# Build upm node6 package and run node tests
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$ docker-compose run node6
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# Build upm for android things package
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$ docker-compose run android
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```
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**docker-compose** will take a look at the `docker-compose.yaml` file in the repository
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root directory, and run an specific command to build upm for the requested target.
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Once the build is completed, you will have a `build/` folder in the repository root with all
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the compiled code. This `build/` folder is created by using a docker volume. The `build\`
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folder contents is reused each time you execute `docker-compose run [TARGET]`.
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To know more about volumes in Docker, visit the [Docker Volume Documentation](https://docs.docker.com/engine/tutorials/dockervolumes/).
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You can also start an interactive session inside the docker container if you need to run some
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custom build commands:
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```sh
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# Start an interactive bash shell inside the container
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$ docker-compose run python bash
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# From now, all the commands are executed inside the container
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$ cd build && cmake -DBUILDSWIGPYTHON=ON .. && make clean all
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```
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If you don't want to use docker-compose, you can also use `docker run` to build upm.
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For example, to build upm for python, you can do:
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```sh
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# From the repository root folder
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$ docker run \
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--volume=$(pwd):/usr/src/app \
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--env BUILDSWIGPYTHON=ON \
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--env BUILDSWIGJAVA=OFF \
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--env BUILDSWIGNODE=OFF \
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inteliotdevkit/upm-python \
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bash -c "./scripts/run-cmake.sh && make -Cbuild"
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```
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### Proxy considerations
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If, for some reason, you are behind a proxy, find below a list of common problems related
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to proxy settings:
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**docker cannot pull images from docker.io**
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Visit [this link](https://docs.docker.com/engine/admin/systemd/#httphttps-proxy)
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to configure docker daemon behind a proxy.
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**docker run fails to access the internet**
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docker-compose will automatically take `http_proxy`, `https_proxy`, and `no_proxy`
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environment variables and use it as build arguments. Be sure to properly configure
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this variables before building.
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docker, unlinke docker-compose, do not take the proxy settings from the environment
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automatically. You need to send them as environment arguments:
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```sh
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# From the repository root folder
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$ docker run \
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--volume=$(pwd):/usr/src/app \
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--env BUILDSWIG=ON \
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--env BUILDSWIGPYTHON=ON \
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--env BUILDSWIGJAVA=OFF \
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--env BUILDSWIGNODE=OFF \
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--env http_proxy=$http_proxy \
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--env https_proxy=$https_proxy \
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--env no_proxy=$no_proxy \
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inteliotdevkit/upm-python \
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bash -c "./scripts/run-cmake.sh && make -Cbuild"
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```
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