GitLocker: The Coding Marketplace

Description:

osaiopod 0.1.40

os-aio-pod

A container of AIO components.
This project is a framework for combining multiple AIO components into one. For example, you can easily extend your TCP server with a HTTP server to offer HTTP API. Usage is simple, write regular coroutine and config file, start with the command line tool, the framework will take care of the work loop.
Each of the coroutine is a magic bean, this framework is a magic pod.
Conception
Custom coroutine is packed as a asyncio.Task, we call it: bean. Thanks to the Python asyncio, all beans can work together. A runner named pod maintains the beans and the whole work loop life cycle.
Each bean has a unique id. label can also be used for identifying one or more beans.
You can access other beans by using a context object with id or label.
Signals can be dispatched to each beans which registered callback function.
Install
pip install os-aio-pod

There are some extra packages can be installed for more features.

subpackage
install command
enables

uvloop
pip install os-aio-pod[uvloop]
enable uvloop

uvicorn
pip install os-aio-pod[uvicorn]
enable uvicorn http server adapter

aiohttp
pip install os-aio-pod[aiohttp]
enable aiohttp http server adapter

aiomonitor
pip install os-aio-pod[aiomonitor]
enable aiomonitor adapter

Usage
Quick start

Write your coroutine function
# example.py
import asyncio

async def helloworld(**kwargs):
await asyncio.sleep(1)
print("hello world!", kwargs)

run with os-aio-pod
os-aio-pod run example.helloworld:hi="Ozzy"

APIs
Custom coroutine
Actually, there are three types of coroutine code for your choice:

Regular coroutine, the hello object of the following example.
import asyncio

async def hello_world(**kwargs):
print('hello world!')
await asyncio.sleep(1)

hello = hello_world()

Regular coroutine fucntion, the hello_world function of the above example. Keyword arguments can be set in the config file.

A class with async def __call__(self) method and have context as init arguments:
class HelloWorld(object):

def __init__(self, context):
self.context = context

async def __call__(self, **kwargs):
print('hello world!')
await asyncio.sleep(1)

Context
When you use class type coroutine, you can use the context to communicate with the framework and other beans.
Since v0.1.27, pass_context decorator can be used for passing context to function as the first argument if it is invoked by the framework. lable can also be specified as argument @pass_context(label="app")
from os_aio_pod.decorators import pass_context

@pass_context
async def hello_world(context, **kwargs):
print(context, kwargs)

Signals
Thanks to asyncio_dispatch, we easily can register and deliver signals.
Typically, you should only use context APIs to process signals.
The system SIGINT,SIGTERM are caught by the framework to handler shutdown stuff after dispatch to each registered callback.
Other system signals are not supported yet.
Configure
Config file is a regular Python file, all upper case variables will pass to the frame work which can be accessed later. The reserved key words:

BEANS: a list of bean config dict, the reserved key words of each bean config are: core, label, other keyword arguments will pass to your function
core: string path of your coroutine
label: optional, can be used to trace your bean

LOG_LEVEL: logger level, default INFO

LOOP_TYPE: default is asyncio, can be uvloop when you install uvloop

DEBUG: enable debug mode, default False

STOP_WAIT_TIME: the wait time when recieve signal(SIGINT, SIGTERM). Once timeout, all unfinished bean will be cancelled. Default is None, indicate wait until all beans done

Example:
config.py
BEANS = [
{
'core' : 'hello_world.HelloWorld',
'label': 'first-bean',
'key1' : 'value1',
}
]

LOG_LEVEL = 'debug'
LOOP_TYPE = 'asyncio'
DEBUG = False
STOP_WAIT_TIME = 10

Command line
os-aio-pod command can be used to start the whole framework, the typical usage:
$ os-aio-pod run -c config.py

or quick start
$ os-aio-pod run [awaitable-func1:k1=v1,k2=v2] [awaitable-func2:k3=v3,k4=v4]

The reserved config key words(exclude BEANS) can be set by passing command line options.
$ os-aio-pod run --help

Built-In Components
There are some built-in adapters can be used for convenient:

built-in simple server class os_aio_pod.contrib.simple.Server
It is a scaffold base class for simple server
from os_aio_pod.contrib.simple import Server

class YourServer(Server):

# can be async/sync
async def startup(self, **kwargs):
pass

# can be async/sync
async def cleanup(self, **kwargs):
pass

async def run(self, **kwargs):
print(self.config)

# on kill(Ctrl+C)
def on_stop(self, **kwargs):
pass

ptpython, python REPL
pip install ptpython contextvars

BEANS = [
{
'core': 'os_aio_pod.contrib.pypython.TelnetServerAdapter',
}
]

you can connect this server with telnet

uvicorn, a lightning-fast ASGI server
pip install uvicorn

BEANS = [
{
'core': 'os_aio_pod.contrib.uvicorn.UvicornAdapter',
'app' : 'your.app.object.path'
}
]

a context object named aio_pod_context will attached to the app object

aiohttp, a well known aio http server
pip install aiohttp

BEANS = [
{
'core': 'os_aio_pod.contrib.aiohttp.WebAdapter',
'app' : 'your.app.object.path'
}
]

a context object named aio_pod_context will attached to the app object

aiomonitor, adds monitor and python REPL capabilities for asyncio application
pip install aiomonitor

BEANS = [
{
'core': 'os_aio_pod.contrib.aiomonitor.AioMonitorAdapter',
}
]

built-in tcp server
An event driven server can be inherited from os_aio_pod.contrib.tcp_server.Server(default server).
If protocol is configured, low-level networking protocol interface will be used instead of the server's on_connect method. The server instance can be accessed with your_protocol.server
BEANS = [
{
'core': 'os_aio_pod.contrib.tcp_server.TCPServerAdapter',
# 'protocol': 'your.asyncio.Protocol.path'
# 'server': 'your.event.driven.server'
}
]

built-in producer-consumer model
One producer and multi-consumers is a common model. You can inherit from os_aio_pod.contrib.pcflow.Server(which is inherit from built-in simple server) and implement produce and consume methods to run as this model.
import asyncio

from os_aio_pod.contrib.pcflow import Server

class YourProducerConsumerServer(Server):
def startup(self, **kwargs):
self.stopping = False

def on_stop(self, **kwargs):
self.stopping = True

async def produce(self, **kwargs):
while not self.stopping:
await asyncio.sleep(1)
yield 1

async def consume(self, obj, **kwargs):
print(obj)

BEANS = [
{
'core': 'YourProducerConsumerServer',
'consumer_num': 10,
}
]

Unit Tests
tox

License
MIT licensed.