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Description:

aioredisrpc 1.1.0

aioredis-rpc

A RPC interface using aioredis
and pydantic.
Usage
pip install aioredis-rpc

pydantic is used to model complex objects which are transparently serialized
and packed into messages using msgpack.
# Define Pydantic models
class FileData(BaseModel):
filename: str
data: bytes

Define a class using the @endpoint decorator to specify which methods will be
accessible via rpc.
from redisrpc import endpoint

# Define an RPC class
class Dropbox:
files: Dict[str, FileData]
max_files: int

def __init__(self, max_files: int = 1000):
self.files = dict()
self.max_files = max_files

@endpoint
async def upload_file(self, file: FileData) -> int:
if len(self.files) >= self.max_files:
# Errors are propagated to the client-side
raise Exception('too many files')
self.files[file.name] = file
return len(file.data)

@endpoint
def get_file_names(self) -> List[str]:
return list(self.files.keys())

@endpoint
async def download_file(self, name: str) -> FileData:
return self.files[name]

Use the create_server function to make an instance of your server-side rpc
class. The server instance will be assigned an rpc attribute to access server
functions like connect and disconnect. Once connect is called methods
decorated with @endpoint will be invoked automatically by remote calls from
the client.

NOTE: The RpcProvider.connect method is non-blocking.

server = create_server(Dropbox, max_files=2)
# Returns once connected to redis
await server.rpc.connect(dsn="redis://localhost")
# Wait forever
while True:
await asyncio.sleep(1)

The create_client function create a faux instance of the rpc class with only
the methods decorated by @endpoint present. When these methods are called by
the client the function arguments are serialized and published to redis.

NOTE: If there are no subscribers to the redis channel then the client will
throw a RpcNotConnectedError.

client = create_client(Dropbox)
await client.rpc.connect(dsn="redis://localhost")

Now that both ends are connected the @endpoint decorated methods may be called
like they are accessing the actual class passed to create_client.
file1 = FileData(name='file1', data=b'1234')
size = await client.upload_file(file1)