This is a pure Python implementation of ribbon-bridge: An RPC Framework http://github.com/BaroboRobotics/ribbon-bridge
Project description
PyRibbonBridge
==============
A pure Python implementation of ribbon-bridge, an RPC framework. Read more about
ribbon-bridge at http://github.com/BaroboRobotics/ribbon-bridge .
Requirements
------------
Ribbon bridge uses asyncio for asynchronous remote procedure calls, and thus
requires Python 3.5 or above.
Internally, it uses Google Protocol Buffers for data serialization, and thus
requires protobuf-v3.0.0b2 or later.
Usage
-----
The basic strategy is:
1. Design the procedure call interface with Google Protobuf. Each callable
remote procedure is represented by a nested protobuf message. In order to
be a valid callable remote procedure, the message must have sub-messages
named "In" and "Result". For instance, to implement a remote procedure
called "foo" which takes a float and returns and integer, you would
have the following entry in a .proto file.
message foo {
message In {
float input = 1;
}
message Result {
int32 output = 1;
}
}
2. Use protoc to generate python files from the .proto files.
3. Create a Proxy object. The Proxy object will need a path to the Python
interface file generated by protoc and an asyncio event loop.
==============
A pure Python implementation of ribbon-bridge, an RPC framework. Read more about
ribbon-bridge at http://github.com/BaroboRobotics/ribbon-bridge .
Requirements
------------
Ribbon bridge uses asyncio for asynchronous remote procedure calls, and thus
requires Python 3.5 or above.
Internally, it uses Google Protocol Buffers for data serialization, and thus
requires protobuf-v3.0.0b2 or later.
Usage
-----
The basic strategy is:
1. Design the procedure call interface with Google Protobuf. Each callable
remote procedure is represented by a nested protobuf message. In order to
be a valid callable remote procedure, the message must have sub-messages
named "In" and "Result". For instance, to implement a remote procedure
called "foo" which takes a float and returns and integer, you would
have the following entry in a .proto file.
message foo {
message In {
float input = 1;
}
message Result {
int32 output = 1;
}
}
2. Use protoc to generate python files from the .proto files.
3. Create a Proxy object. The Proxy object will need a path to the Python
interface file generated by protoc and an asyncio event loop.
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