This is a SpatialOS project which can serve as a template for building SpatialOS workers using the C++ SDK. It uses CMake as the build system. If you're new to SpatialOS, have a look at Introduction to the C++ worker SDK.
Have a look at the Glossary entry for Workers for a complete discussion and examples.
This project requires the following software to be installed:
- CMake 3.7+
- (Windows) Visual Studio 2017 or above.
- (macOS) Xcode
- (Linux)
gcc
/clang
andmake
(for the "Unix Makefiles" CMake project generator)
The build scripts (build.json
) for each worker:
- Generate C++ code from schema
- Download the C++ worker SDK
- Create a
cmake_build
directory in the worker directory - Invoke
cmake
with arguments depending on the target platform
To build and launch a local deployment execute the following commands:
spatial worker build
spatial local launch --runtime_version=15.0.0
Windows users
If you have WSL installed, it is strongly recommended that you invoke
spatial worker build
directly from a non-WSL bash shell, e.g. git bash. The command executes shell scripts internally, which are likely to fail when invoked from other types of shells (e.g. cmder, powershell). Try this if you see the$'\r': command not found
error, or thecmake
command not getting found despite being installed.
To connect a new instance of the "External" worker type to a running local deployment (after spatial local launch
):
spatial local worker launch External local
When you launch a deployment, a single instance of the Managed
worker will be started as configured in default_launch.json
.
The Managed
worker connects to SpatialOS and then assigns the entity with ID 2 (defined in the snapshot) as a partition entity to itself.
This then gives it authority over the LoginListenerSet
and PositionSet
on entity 1, as per the authority delegation already set up on it in the snapshot.
The Managed
worker updates the position of entity 1 in a loop, making it move around the origin in a circle - this will be visible from the inspector.
The Interest
component on entity 1 is configured such that the Managed
worker gains interest in all other entity with the improbable::restricted::Worker
component.
The Managed
worker uses this detect when new workers connect to the deployment and log a message to the runtime for each connected worker.
The External
worker, once manually started, simply connects to SpatialOS and then loops to continually process the Ops list it receives.
The CMake project hierarchy doesn't exactly match the directory structure of
the project. For example the projects for workers add as subdirectories the
schema
and dependencies
projects.
This is how projects are structured in the directory:
+-- schema/CMakeLists.txt
+-- dependencies/CMakeLists.txt
+-- workers
|-- External/
| |-- External/CMakeLists.txt
| |-- CMakeLists.txt
| |-- build.json
|-- Managed/
|-- Managed/CMakeLists.txt
|-- CMakeLists.txt
|-- build.json
This enables you to keep the worker directories free of CMake files for schema and dependencies while not needing a CMake file at the root of the project.
The schema
directory contains a sample empty component called blank
. It is
not used by the workers directly so feel free to delete it but it's there to
show how sources generated from the schema could be linked in the worker
binary. See schema/CMakeLists.txt
which creates a library with all generated
sources.
The snapshot exists in both JSON and binary format in the snapshots
folder. There is no script
to generate the snapshot as the snapshot was written by hand in JSON format, but it's possible
to make simple changes to the JSON snapshot and regenerate the binary snapshot from it. To update the
binary snapshot after making a change, run the following command:
spatial project history snapshot convert --input-format=text --input=snapshots/default.json --output-format=binary --output=snapshots/default.snapshot
The following applies to both the Managed
and External
worker projects but examples will only be about Managed
.
After running spatial build
the generated project by CMake will be in
workers/Managed/cmake_build
. Exactly what it contains will depend on the
generator you use. A worker project includes 3 subdirectories in its
CMakeLists.txt
- dependencies
, schema
and Managed
. The first two are
not true subdirectories of workers/Managed
in the file structure but their
binary directories are set as if they were.
On Windows, both the release and debug builds of the Worker SDK are downloaded and set up correctly in
the CMakeLists.txt
. This means that both the Release
and Debug
configurations in the generated
Visual Studio solution (.sln
) should build and link correctly without any further changes.
If you use a Visual Studio generator with CMake, the generated solution contains several projects to match the build targets. You can start a worker from Visual Studio by setting the project matching the worker name as the startup project for the solution. It will try to connect to a local deployment by default. You can customize the connection parameters by navigating to Properties > Configuration properties > Debugging
to set the command arguments. Using receptionist localhost 7777 DebugWorker
as the command arguments for example will connect a new instance of the worker named DebugWorker
via the receptionist to a local running deployment. You can do this for both worker types that come with this project. Make sure you are starting the project using a local debugger (e.g. Local Windows Debugger).
Our cloud deployment environment is based on Linux, so therefore if you're not using Linux, you'll have to set up a cross-compile toolchain and build out a Linux binary (due to the nature of C++). More information can be found here.
If using Windows, options include (but are not limited to):
- Install Ubuntu using the Windows Subsystem for Linux, then build a Linux worker from within that environment.
- Install Ubuntu in a Virtual Machine with either VirtualBox or VMware Workstation Player.
- Set up a cross-compiler to be used from Windows, such as the one distributed by Unreal Engine: https://docs.unrealengine.com/en-us/Platforms/Linux/GettingStarted
- Use the Visual Studio 2017 CMake Linux support: https://docs.microsoft.com/en-us/cpp/linux/cmake-linux-project?view=vs-2017
Once this is done and you have successfully built a Linux assembly, set the project_name
field in
spatialos.json
to match your SpatialOS project name. Then upload and launch:
spatial cloud upload <assembly-name>
spatial cloud launch <assembly-name> default_launch.json <deployment-name> --snapshot=<snapshot-path> --runtime_version=15.0.0
See spatial cloud connect external
if you want to connect to a cloud deployment. In
addition, the External
worker has a second external launch configuration
called cloud
which could be used to connect provided that you know the
deployment name and have a login token:
spatial local worker launch External cloud <deployment-name> <login-token>
If you have an existing project, to add a new C++ worker to it:
- Decide whether the worker you're adding will be used as a managed or external worker.
- Copy the corresponding directory (e.g.
workers/Managed
) into the workers directory of your existing project. - In the worker project
CMakeLists.txt
setSCHEMA_SOURCE_DIR
andWORKER_SDK_DIR
to point to the CMake projects in your project that generate the corresponding targets and if the targets have different names fromSchema
andWorkerSdk
also rename those. - Add it to the
workers
definition in your SpatialOS launch configuration (e.g.default_launch.json
)