Contents
- Feabhas Docker Host base C/C++ Training Project
- Prerequisites
- Getting Started
- Developing an application
- Running an Application
- Building an exercise solution
- Creating the template starter projects
- VS Code tasks and launch actions
- Debugging an application
- Static analysis using clang-tidy
- Testing support
- C/C++ Versions
- C++20 Modules
- Disclaimer
You will need the following software to use this project:
- Docker desktop
- Visual Studio Code and DevContainers extension (installed through VS Code)
Download this Docker Host git repo to your local machine using either git or unpacking the ZIP archive.
If possible you should store the repo on your local hard drive and avoid using network attached storage as the editing and build process is disk I/O intensive.
Avoid placing the folder in an area that is mirrored using OneDrive, Google Drive or similar for the same reasons.
Your cloned folder will be called docker-host
by default but you can
rename this folder if you wish. This is your workspace folder that you
would normally open using Visual Studio Code
(see later).
Your course joining instructions or you instructor will provide a link to a Feabhas GitHub repo containing the the exercise solutions and and starter templates required to complete the training exercises.
From within the docker-host
workspace folder you have just created
clone the GitHub exercises. You will now have a sub-folder
with a name ending with _exercises
.
If you do not have Visual Studio Code installed then provided your company security policy permits you to install applications you can download it from [Visual Studio Code] (https://code.visualstudio.com/).
Start VS Code and click on the extension icon in the left hand panel (it shows four squares with the top right one detached from the rest).
In the search box at the top of the left hand panel enter the text
dev containers
Make sure you include the space. In the Dev Containers extension (from Microsoft) shown in the list of matched extension click on the Install button and add the Dev Containers extenions. You may need to restart VS code after doing this.
In the bottom left corner of the screen there will now be a coloured
icon with an ><
symbol, click on this and select:
- Open Folder in container...
and open the docker-host
workspace folder containing
this project.
When VS Code opens the folder this will download a Docker container from
feabhas/ubuntu-projects:latest
. This container is configured with a
toolchain for building Feabhas host training projects including:
- Ubuntu GNU Toolchain and GDB
- Build tools GNU Make, Ninja and CMake
- Test tools googletest, gmock, puncover and valgrind
The container is about 3GB and will take a noticeable amount of time to download.
VS Code will connect to the remote container as user feabhas
(password
ubuntu
) and copy files from an host target project template to
the workspace folder. Within the container the working folder is mapped
onto ~/workspace
.
The docker-host
workspace folder will now contain the files
for building and running applications on the Ubuntu image.
The Feahbas project build process uses CMake as the underlying build system. CMake is itself a build system generator and we have configured it to generate the build files used by GNU Make.
Using CMake is a two step process:
- generate the build configuration files
- build the application
To simplify this process and to allow you to easily add additional
source and header files we have created a front end script build.sh
to automate the build.
You can add additional C/C++ source and header files to the src
directory. If
you prefer you can place your header files in the include
directory.
From within VS Code you can use the keyboard shortcut Ctrl-Shift-B
to run one of the build tasks:
* Build standard build
* Clean to remove object and executable files
* Reset to regenerate the CMake build files
Alternatively from within a command shell terminal enter the command:
$ ./build.sh
This build.sh
script will detect any source file changes and generate
a new build configuration if required. If new source files are created
in the src
folder these will be automatically detected and
included in the build.
The executable Application
is created in the folder build/debug
.
You can add the -v
option to the build command to see the underlying
compile and link commands:
$ ./build.sh -v
To delete all object files and recompile the complete project use
the clean
option:
$ ./build.sh clean
To clean the entire build directory and regenerate a new CMake build
configuration use the reset
option:
$ ./build.sh reset
To run the application without debugging:
- in VS code press Ctrl-Shft-P and type
test task
- in the popup list select Tasks: Run Test task
- in the list of tasks select Run Application
To run with debugging (described in the Debugging an application section):
- set a breakpoint in the code
- press F5 (or run Debug task Debug Application)
To build any of the exercise solutions run the script:
$ ./build-one.sh N
Where N is the exercise number. The exercises must be stored in the workspace folder in one of the following locations:
- A cloned github repo name ending
_exercises
- An
exercises/solutions
sub-folder in the workspace - A
solutions
sub-folder in the workspace
NOTE: this script will copy all files in the src
and
include
directories to a src.bak
directory in the workspace;
any files already present in src.bak
will be deleted.
Some training courses supply one or more template starter projects containing a working application that will be refactored during the exercises.
These templates are used to generate multiple project workspaces in named sub folders. To generate the sub projects run the command:
$ ./build-template.sh
This will generate fully configured projects for each starter template
in a sub folder in the root workspace. Each project
contains a fully configured CMake based build system including a
copy of the solutions folder. The original toolchain build files in the
project are moved to a project
sub-folder as they are no longer required.
For each exercise you can now open the appropriate sub-project folder and work within that folder to build and run your application.
Note: if there is a single starter template this will be copied
directly into the src
and include
folders rather than create a new
sub folder.
VS Code tasks:
- Build
- Clean
- Reset
VS Code test tasks:
- Run Application
VS Code debug tasks (use F5 or Debug view):
- Debug Application
To debug your code with the interactive (visual) debugger press the <F5>
key or use the Run -> Start Debugging menu.
The debug sessions may stop at the entry to the main
function and display
a red error box saying:
Exception has occurred.
This is normal: just close the warning popup and use the debug icon commands at the top of the code window to manage the debug system. The icons are (from left to right):
- continue - stop over - step into - step return - restart - stop
A number of debug launch tasks are shown in a drop down list at the top of the debug view.
Preselect one of the launch options before pressing <F5>
to debug with:
* **QEMU debug** to debug using the Python GUI **Connect**
* **QEMU debug serial** to debug using the Python GUI **Connect+serial**
* **QEMU debug container** run without the Python GUI
* **QEMU debug container serial** to debug without the Python GUI
To debug a program just using the GPIO port requires two terminal sessions.
- In one terminal invoke the following script:
$ ./run_qemu.sh gdb
A monitor window will appear and there will be some debug output. The QEMU simulation will halt at the first instruction waiting for a GDB connection.
- In another terminal, run GDB with
$ ./gdb-qemu.sh
Diagnostic output will appear in the gdb
window ending with prompt to
continue:
...
..
-- Type <RET> for more, q to quit, c to continue without paging--
Press at this point to see the code of the main
function
and the (gdb)
prompt for debug commands.
- Type
c
(continue) to runn
for next (step-over)s
for step (step-in)
If GPIO-D pins 8..11 are written to, output will appear in the QEMU windows, such as:
[led:A on]
[seven-segment 1]
[led:C on]
[seven-segment 5]
[led:A off]
[seven-segment 4]
To exit:
-
Use Ctrl-C in the GDB window to interrupt an executing process to return to the
gdb
prompt. -
Enter the kill (
k
) command to stop the remote qemu process. -
Finally
q
will quit gdb
The CMake build scripts create a clang-tidy
target in the
generated build files if clang-tidy
is in the command search
path ($PATH
under Linux).
To check all of the build files run the command:
$ ./build.sh clang-tidy
To run clang-tidy
as part of the compilation process edit
the CMakeLists.txt
file and uncomment the line starting with
set(CMAKE_CXX_CLANG_TIDY
.
Create a sub-directory called tests
with it's own CMakeList.txt
and define
your test suite (you don't need to include enable_testing()
as this is done
in the project root config).
Invoke the tests by adding the test
option to the build command:
./build.sh test
Tests are only run on a successful build of the application and all tests.
You can also use cmake
or ctest
directly.
If a test won't compile the main application will still have been built.
You can temporarily rename the tests
directory to stop CMake building
the tests, but make sure you run a ./build.sh reset
to regenerate
the build scripts.
The build system supports compiling against different versions of C and
C++ with the default set in MakeLists.txt
as C11 and C++17.
The build.sh
and build-one.sh
scripts accept a version option to
choose a different language option.
For example, to compile for:
- C99 add the option
--c99
(or--C99
) or for - C++23 add
--cpp23
(or--c++23
--C++23
--CPP23
)
Support for compiling C++ modules is enabled by creating a file Modules.txt
in the src
folder and defining each module filename on a separate
line in this file. The build will always use GNU Make to ensure modules
are compiled in the order defined in the Modules.txt
file. Following MSVC
and VS Code conventions the modules should be defined in *.ixx
files.
Feabhas is furnishing these items "as is". Feabhas does not provide any warranty of them whatsoever, whether express, implied, or statutory, including, but not limited to, any warranty of merchantability or fitness for a particular purpose or any warranty that the contents their will be error-free.
In no respect shall Feabhas incur any liability for any damages, including, but limited to, direct, indirect, special, or consequential damages arising out of, resulting from, or any way connected to the use of the item, whether or not based upon warranty, contract, tort, or otherwise; whether or not injury was sustained by persons or property or otherwise; and whether or not loss was sustained from, or arose out of, the results of, the item, or any services that may be provided by Feabhas.
The items are intended for use as an educational aid.Typically code solutions will show best practice of language features that have been introduced during the associated training, but do not represent production quality code. Comments and structured documentation are not included because the code itself is intended to be studied as part of the learning process.