Expand description
Executes Python kernels in separate processes and sends JSON messaes back and forth.
Using the pyrun-kernel loader, kernels can be loaded from ZIP archives. Next to all required
resources, the ZIP must contain a kernel.py file which contains the actual kernel code.
A kernel roughly looks like this:
VERSION = "v1.2.3"
# (do heavy-lifting here...)...
# use print(..) to signal the progress of the startup sequence...
def kernel(json):
return { result: json["input"] * 2 }
The kernel is automatically extended by the required glue code (see prelude.py) which takes
care of the inter-process communication. This is actually handled by reading and writing lines
to stdin from stdout of the forked process.
The command PY.RUN <kernel> <json> can be used to execute a kernel. Note that the process
itself always keeps running, so heavy-lifting (like loading language models) should be done
outside of the kernel function.
Using PY.STATS a list of all running kernels can be retrieved. This is useful for debugging
and monitoring purposes.
Modules
- Provides a loder to load ZIP files a PY.RUN kernels.
Structs
- Describes the public API of the framework.
Enums
- Describes the administrative commands supported by this actor.
Functions
- Installs the framework into the given platform.