Metadata-Version: 2.1
Name: aioredis-rpc
Version: 0.1.1
Summary: An RPC library based on aioredis, msgpack, and pydantic.
Home-page: http://github.com/matutter/redisrpc
Author: Mathew Utter
Author-email: mcutter.svc@gmail.com
License: MIT
Keywords: aioredis msgpack python redis redisrpc rpc
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: BSD
Classifier: Operating System :: Microsoft :: Windows :: Windows Vista
Classifier: Operating System :: Microsoft :: Windows :: Windows 7
Classifier: Operating System :: Microsoft :: Windows :: Windows 8
Classifier: Operating System :: Microsoft :: Windows :: Windows 8.1
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: System :: Filesystems
Classifier: Topic :: System :: Monitoring
Classifier: Topic :: Utilities
Requires: pydantic
Requires: msgpack
Requires: aioredis
Requires: hiredis
Requires-Python: >=3.6.1
Description-Content-Type: text/markdown

# redisrpc

A RPC interface using [aioredis](https://github.com/aio-libs/aioredis-py)
and [pydantic](https://github.com/samuelcolvin/pydantic).

## Usage

`pydantic` is used to model complex objects which are transparently serialized
and packed into messages.

```python
# Define Pydantic models
class FileData(BaseModel):
  filename: str
  data: bytes
```

Define a class using the `@endpoint` decorator to specify which methods will be
accessible over the rpc interface.

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

Use `create_server` function to create an instance of your server-side rpc
class. The server instance will be assigned an `rpc: RpcProvider` attribute to
access server functions like `connect` and `disconnect`. Once `connect` is
called methods decorated with `@endpoint` will be invoked automatically by
client RPC messages.

Also note that `connect` is non-blocking.

```python
server = create_server(Dropbox, max_files=2)
# Returns once connected to redis
await server.rpc.connect(dsn="redis://localhost")
```

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.

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

Now that both ends are connected the the `@endpoint` decorated methods may be
called like they are accessing the actual class passed to `create_client`.

```python
file1 = FileData(name='file1', data=b'1234')
size = await client.upload_file(file1)
```

