搞懂 Python 協同程序(Coroutine): 快樂學會非同步程式開發

Jason

20181013 Taichung.py

協同程序是最沒人寫到、晦澀，且顯然無用的 Python 功能

-David Beazley

難以理解也已是 2016 年前的事了吧？

使用協程在 IO 密集的程式中作為非同步策略現在已經非常非常的流行 (例如: 爬蟲、資料庫的 ETL 等等)

所以今天就從協同程序開始，想用簡單的說明讓大家了解

因為是深入淺出，所以

```
協同程序概念
```
```
語法產生協同程序
```
```
不會深入 Python asyncio
```
```
會有 Live demo (不是 Live coding)
```

如果稍後大家沒聽懂分享的內容，那應該就是我講得不夠淺顯

所以，如果真沒聽懂，還是點點頭喔，咪啾！

總會有個故事起頭...

2014~2016 聽了 TP and TP 與亮亮的分享

2017 重構別人 ETL 程式嘗試用非同步

2017 看一堆 PEP, 大小演講和文章

2017 PyConTW 演講研究了 Django Channels

然後,開始吧

非同步的策略

阻塞式多行程
阻塞式多行程多執行緒
非阻塞式事件驅動
非阻塞式 Coroutine

By Chetan Giridhar, PyCon India 2014

雖然 CPython 的 GIL 特性適合 I/O 密集的任務，但...

設備	CPU實際時間	相對於人類時間
執行指令	0.38ns	1s
L1暫存	0.5ns	1.3s
L2暫存	7ns	18.2s
遞迴互斥鎖	25ns	1min 5s
上下文切換/ 系統呼叫	1.5us	1h 5min
RAM 讀 1M	250us	7.5 day
SSD 讀 1M	1ms	1 month
網路	150 ms	12.5 年

以上假設用 2.6Ghz 的 CPU 做模擬，參考

~~阻塞式多行程~~
~~阻塞式多行程多執行緒~~
非阻塞式事件驅動
非阻塞式 Coroutine

非阻塞事件驅動

```
Non-blocking I/O
```
```
Callback
```
```
Event loop
```

非阻塞事件驅動

```
Non-blocking I/O
```

Non-blocking I/O

```
非同步的呼叫
```
```
Event-driven
```

Socket Multiplexing

```
Unix: Select, poll, epoll
```
```
Windows, Solaris: IOCP
```
```
BSD/OS X: kqueue
```

*I/O 觀點: 多路復用實際上還是一種順序
*非阻塞不一定是非同步，但非同步一定要非阻塞

非阻塞事件驅動

```
Callback
```

Callback

傳統方法，註冊一個事情發生呼叫函式，而不是等候回應，Node.js 的發明者 Ryan Dahl 推崇

api_call1(request1, function (response1) {
    //step1
    var request2 = step1(response1);
    
    api_call2(request2, function (response2) {
        //step2
        var request3 = step2(response2);
        
        api_call3(request, function (response3) {
            //step3
            step3(response3);
        });
    });
});

def stage1(response1):
    request2 = step1(response1)
    api_call2(request2, stage2)


def stage2(response2):
    requests3 = step2(response2)
    api_call3(requests3, stage3)


def stage3(response3):
    step3(response3)


if __name__ == '__main__':
    api_call1(request1, stage1)

Callback 的缺點

```
回呼地獄(邪惡金字塔)
```
```
程式碼:厚，有夠難閱讀
```
```
程式碼:厚，有夠難寫
```

首先用我們熟悉的多執行緒來寫

import socket
import time
import concurrent.futures


URLS = ['/foo', '/bar']


def get(path):
    s = socket.socket()
    s.connect(('localhost', 5000))
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    while True:
        chunk = s.recv(1000)
        if chunk:
            chunks.append(chunk)
        else:
            body = (b''.join(chunks)).decode()
            print(body.split('\n')[0])
            return

start = time.time()
with concurrent.futures.ThreadPoolExecutor(max_workers=len(URLS)) as executor:
    future_to_url = {executor.submit(get, url): url for url in URLS}
    for future in concurrent.futures.as_completed(future_to_url):
        url = future_to_url[future]
        try:
            data = future.result()
        except Exception as exc:
            print('%r generated an exception: %s' % (url, exc))
    
    print('multithreading took %.1f sec' % (time.time() - start))

例如:

多執行緒預設開數量? 總數量除以 2? 3?

有可能遇到很多設定等動態問題

範例

Reference from A. Jesse Jiryu Davis's coroutin in Python 3.x tutorial

def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    # non-blocking sockets
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    selector.unregister(s.fileno())

    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    while True:
        # non-blocking sockets
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        selector.unregister(s.fileno())

        chunk = s.recv(1000)
        if chunk:
            chunks.append(chunk)
        else:
            body = (b''.join(chunks)).decode()
            print(body.split('\n')[0])
            return

def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    callback()

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ)
    selector.select()
    callback()

def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    callback()

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ)
    selector.select()
    callback()

def readable(s, chunks):
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        callback()
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        return

def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    # non-blocking sockets
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    selector.unregister(s.fileno())

    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    while True:
        # non-blocking sockets
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        selector.unregister(s.fileno())

        chunk = s.recv(1000)
        if chunk:
            chunks.append(chunk)
        else:
            body = (b''.join(chunks)).decode()
            print(body.split('\n')[0])
            return

def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    callback()

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ)
    selector.select()
    callback()

def readable(s, chunks):
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        callback()
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        return

def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    callback()

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ)
    selector.select()
    callback()

非阻塞事件驅動

```
Event loop
```

Event-loop

你做好了就叫我

範例


def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    callback()

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ)
    selector.select()
    callback()

def readable(s, chunks):
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        callback()
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        return

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected_event(s, path)
    selector.register(s.fileno(), EVENT_WRITE, data=callback)

def connected_event(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable_event(s, chunks)
    selector.register(s.fileno(), EVENT_READ, data=callback)

def readable_event(s, chunks):
    global n_jobs
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable_event(s, chunks)
        selector.register(s.fileno(), EVENT_READ, data=callback)
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        n_jobs -= 1

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE, data=callback)

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ, data=callback)



def readable(s, chunks):
    global n_jobs
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ, data=callback)
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        n_jobs -= 1


def get(path):
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE)
    selector.select()
    callback()

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ)
    selector.select()
    callback()

def readable(s, chunks):
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        callback()
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        return

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE, data=callback)

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ)
    selector.select()
    callback()

def readable(s, chunks):
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        callback()
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        return

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE, data=callback)

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ, data=callback)



def readable(s, chunks):
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ)
        selector.select()
        callback()
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        return

def eventloop():
    start = time.time()
    for url in URLS:
        get(url)

    while n_jobs:
        events = selector.select()
        for key, mask in events:
            cb = key.data
            cb()

非阻塞 Coroutine

```
Non-blocking I/O
```
```
Callback -> Coroutine
```
```
Event loop
```

Coroutine?

揪竟是什麼！可以吃嗎！？

Coroutine

```
Generator
```
```
Future
```
```
Task
```

Generator

__iter__, __next__
語法 yield
控制流程
PEP 342: 語句變成表達式 x = yield
產生器演化成協同程序

Generator

```
yield: __iter__, __next__
```

def fibonacci():
    a, b = (0, 1)
    while True:
        yield a
        a, b = b, a+b

fibos = fibonacci()
next(fibos) #=> 0
next(fibos) #=> 1
next(fibos) #=> 1
next(fibos) #=> 2

class Fibonacci():
    def __init__(self):
        self.a, self.b = (0, 1)
    def __iter__(self):
        return self
    def __next__(self):
        result = self.a
        self.a, self.b = self.b, self.a + self.b
        return result

fibos = Fibonacci()
next(fibos) #=> 0
next(fibos) #=> 1
next(fibos) #=> 1
next(fibos) #=> 2

Generator

```
控制流程
```

def generator():
    print('before')
    yield            # break 1
    print('middle')
    yield            # break 2
    print('after')

x = generator()
next(x)
#=> before
next(x)
#=> middle
next(x)
#=> after
#=> exception StopIteration

Future

```
記錄要工作狀態
```

將來執行或沒有執行的任務的結果

```
類似 Promise
```

Task

事件循環交互，執行協同程序任務
一個協程對象就是一個原生可以暫停執行的函數，任務則是對協程進一步封裝，其中包含任務的各種狀態。Task 對象是 Future 的子類，它將 coroutine 和 Future 聯繫在一起，將 coroutine 封裝成一個 Future 對象。

範例

class Future:
    def __init__(self):
        self.callbacks = []

    def resolve(self):
        for fn in self.callbacks:
            fn()


class Task:
    def __init__(self, coro):
        self.coro = coro
        self.step()

    def step(self):
        try:
            future = next(self.coro)
        except StopIteration:
            return
        future.callbacks.append(self.step)

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE, data=callback)

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ, data=callback)

def readable(s, chunks):
    global n_jobs
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ, data=callback)
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        n_jobs -= 1

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    f = Future()
    selector.register(s.fileno(), EVENT_WRITE, data=f)
    
    yield f
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    while True:
        f = Future()
        selector.register(s.fileno(), EVENT_READ, data=f)
        yield f
        selector.unregister(s.fileno())
        
        chunk = s.recv(1000)
        if chunk:
            chunks.append(chunk)
        else:
            body = (b''.join(chunks)).decode()
            print(body.split('\n')[0])
            n_jobs -= 1
            return

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    callback = lambda: connected(s, path)
    selector.register(s.fileno(), EVENT_WRITE, data=callback)

def connected(s, path):
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    callback = lambda: readable(s, chunks)
    selector.register(s.fileno(), EVENT_READ, data=callback)

def readable(s, chunks):
    global n_jobs
    selector.unregister(s.fileno())
    chunk = s.recv(1000)
    if chunk:
        chunks.append(chunk)
        callback = lambda: readable(s, chunks)
        selector.register(s.fileno(), EVENT_READ, data=callback)
    else:
        body = (b''.join(chunks)).decode()
        print(body.split('\n')[0])
        n_jobs -= 1

n_jobs = 0
def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    f = Future()
    selector.register(s.fileno(), EVENT_WRITE, data=f)
    
    yield f
    selector.unregister(s.fileno())
    request = 'GET %s HTTP/1.0\r\n\r\n' % path
    s.send(request.encode())

    chunks = []
    while True:
        f = Future()
        selector.register(s.fileno(), EVENT_READ, data=f)
        yield f
        selector.unregister(s.fileno())
        
        chunk = s.recv(1000)
        if chunk:
            chunks.append(chunk)
        else:
            body = (b''.join(chunks)).decode()
            print(body.split('\n')[0])
            n_jobs -= 1
            return

def eventloop():
    start = time.time()

    for url in URLS:
        Task(get(url))
     
    while n_jobs:
        events = selector.select()
        # what next?
        for key, mask in events:
            fut = key.data
            fut.resolve()

沒關係，老實講我也不明白

Python

Async programming

學習曲線

Coroutine 如果都要這樣手刻，似乎是有點麻煩

產生器和協同程序語法不區隔讓人有點混亂

登愣！async, await 登場

PEP 492

清楚區分產生器和協同程序

原生協程對象不實現 __iter__ 和 __next__ 方法

沒有裝飾的產生器不能 yield from 一個原生協程

基於產生器的協程在經過 @asyncio.coroutine 裝飾後，可以 yield from 原生協程對象。

對於原生協程對象和原生協程函數，呼叫inspect.isgenerator() inspect.isgeneratorfunction()會返回 False

def subgenerator():
    for j in range(10):
        yield j

def generetor():
    x = yield from subgenerator()
    return x

if __name__ == '__main__':
    g = list(generator)
    print(g) # [0,1,2,3,4,5,6,7,8,9]

import asyncio

def subgenerator():
    for j in range(10):
        yield j

@asyncio.coroutine
def generetor():
    x = yield from subgenerator() #not future/coro
    return x

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    # runtime error
    loop.run_until_complete(generetor())
    loop.close()

暫時拋離

```
＠asyncio.coroutine
```
```
yield from
```

原生的協同程序

```
@asyncio.coroutine -> async def
```
```
yield from -> await
```

import asyncio

@asyncio.coroutine  # generator-based coroutines 
def generator_async(x):
    yield from asyncio.sleep(x)  

async def native_async(x): # native coroutines
    await asyncio.sleep(x)


import dis
dis.dis(generator_async)
dis.dis(native_async)

list(generator_async)
list(native_async

回到剛剛範例

class Future:

    def __init__(self):
        self.callbacks = None

    def resolve(self):
        self.callbacks()

    def __await__(self):
        yield self


class Task:

    def __init__(self, coro):
        self.coro = coro
        self.step()

    def step(self):
        try:
            f = self.coro.send(None)
        except StopIteration:
            return
        f.callbacks = self.step

class Future:
    def __init__(self):
        self.callbacks = []

    def resolve(self):
        for fn in self.callbacks:
            fn()


class Task:
    def __init__(self, coro):
        self.coro = coro
        self.step()

    def step(self):
        try:
            future = next(self.coro)
        except StopIteration:
            return
        future.callbacks.append(self.step)

async def get(path):
    global n_jobs
    n_jobs += 1
    s = socket.socket()
    s.setblocking(False)
    try:
        s.connect(('localhost', 5000))
    except BlockingIOError:
        pass

    f = Future()
    selector.register(s.fileno(), EVENT_WRITE, data=f)
    #yield f
    await f
    ......

可以被 await

async def

import asyncio
import aiohttp


async def async_fetch_page(url):
    ....

async with

import asyncio
import aiohttp

async def async_fetch_page(url):
    async with aiohttp.ClientSession() as session:
        resp = await session.get(url)
        if resp.status == 200:
            text = await resp.text()
            print(f"GET {resp.url} HTTP/1.0 {resp.status} OK")

Event loop

asyncio— Asynchronous I/O

url = 'localhost:5000'
URLS = ['/foo', '/bar']

loop = asyncio.get_event_loop()
tasks = [
    asyncio.ensure_future(async_fetch_page(f"{url}{u}")) for u in URLS
]
loop.run_until_complete(asyncio.wait(tasks))
loop.close()

async for

PEP 525, PEP 530
Python 3.6: await, yield 同時

sleep 3

Producing

async for Consuming

sleep 3

for Consuming

Demo

視覺機器計算數據
serial port
Django restful service

RS-232

序列資料通訊的介面標準

Python 使用 pyserial 模組讀寫 Serial port

>>> import serial
>>> # Open named port at “19200,8,N,1”, 1s timeout:
>>> with serial.Serial('/dev/ttyS1', 19200, timeout=1) as ser:
...     x = ser.read()          # read one byte
...     s = ser.read(10)        # read up to ten bytes (timeout)
...     line = ser.readline()   # read a '\n' terminated line


>>> # Open port at “38400,8,E,1”, non blocking HW handshaking:
>>> ser = serial.Serial('COM3', 38400, timeout=0,
...                     parity=serial.PARITY_EVEN, rtscts=1)
>>> s = ser.read(100)       # read up to one hundred bytes
...                         # or as much is in the buffer

Data Flow

視覺機器產生資料，Gateway 透過 RS-232 取得資料

Gateway 接收訊號接著與 web service 取得 id 再透過 API 寫入資料庫

Vision

Gateway

Django

Serial Port

TCP/IP

Synchronous 的寫法

While 迴圈等待 serial port 資料？

```
1 + 1 = 1？？
```
```
多執行緒？(Python GIL 👍)
```
```
想要更潮一點
```

Program Flow

Gateway 裡的 Producer() 不斷讀 serial port，資料產生就放入 Queue 中。Gateway 的 Consumer() 會不斷檢查，當 Queue 有資料就執行 API 將資料存到 Server

```
非同步架構？Asyncio！
```

Producer

Queue

Consumer

def consumer():
    with serial.Serial(com, port, timeout=0) as ser:
        buffer = ''
        while True:
            buffer += ser.readline().decode()
            if '\r' in buffer:
                buf = buffer.split('\r')
                last_received, buffer = buffer.split('\r')[-2:]
                yield last_received


async def async_producer(session, q):
    start = time.time()
    while len(q):
        data = q.popleft()
        status, result = await async_post(session, url_seq, url_films, data)
        
        if status != 201:
            q.append(data)
        
        if time.time() - start >= 1:
            break

專業養蟲師

q = deque()
com = 'COM5'
port = 9600
last_received = ''

async def async_main():
    global q
    async with aiohttp.ClientSession() as session:
        for data in consumer():
            q.append(data)
            
            d = q.popleft()
            status, result = await async_post(session, url_seq, url_films, data=d) # post data
            if status != 201:
                q.append(d)
            
            if len(q) >= 2:
                await async_producer(session, q)

loop = asyncio.get_event_loop()
loop.run_until_complete(async_main())
loop.close()

是位擅長產生 bug 的朋友呢

錯誤在那呢？

```
會 blocking
```
```
不是非同步，是同步
```
```
錯誤的範例程式說明
```
```
正確的範例程式說明
```

Pyserial-asyncio

快快樂樂的讓 serial port 非同步

pyserial-asyncio API

```
Protocol (Low level api)
```
```
Stream (High level api)
```

Asyncio

• protocols

represent applications such as HTTP client/server, SMTP, and FTP
Async HTTP operation
[loop.create_connection()]

• transport

represent connections such as sockets, SSL connection, and pipes
Async socket operations
- Usually, frameworks implement e.g. Tornado

Asyncio

StreamReader

Represents a reader object that provides APIs to read data from the IO stream

Stream 說明

import serial_asyncio


# serial setting
url = '/dev/cu.usbmodem1421'
port = 9600


async def produce(queue, **kwargs):
    """get serial data use recv() define format with non-blocking 
    """
    reader, writer = await serial_asyncio.open_serial_connection(url=url, **kwargs)
    buffers = recv(reader)
    async for buf in buffers:
        # TODO: can handle data format here
        print(f"produce id: {id(buf)}")

async def recv(r):
    """
    Handle stream data with different StreamReader: 
    'read', 'readexactly', 'readuntil', or 'readline'
    """
    while True:
        msg = await r.readuntil(b'\r')
        yield msg.rstrip().decode('utf-8')

async def consume(queue):
    """Get serail data with async"""
    while True:
        data = await queue.get()
        print(f'consuming: {id(data)}')
        """handle data from here"""
        await asyncio.sleep(random.random())
        queue.task_done()


loop = asyncio.get_event_loop()
queue = asyncio.Queue(loop=loop)
producer_coro = produce(queue, url=url, baudrate=port)
consumer_coro = consume(queue)
loop.run_until_complete(asyncio.gather(producer_coro, consumer_coro))
loop.close()

資料處理

然後...說好的 DEMO呢？

後端大概4這樣

 前端 js 可以設定幾秒後動態去更新資料（Demo 手按的 XD）

前端大概4這樣

最後 ipython 也支援 async REPL

https://github.com/ipython/ipython/pull/11265

```
https://github.com/ipython/ipykernel
```

Thanks

搞懂 Python 協同程序(Coroutine): 快樂學會非同步程式開發

By Jason

搞懂 Python 協同程序(Coroutine): 快樂學會非同步程式開發

taichung.py talk 20181013

2,628

Jason

Hi My name is Jason

搞懂 Python 協同程序(Coroutine): 快樂學會非同步程式開發

所以今天就從協同程序開始，想用簡單的說明讓大家了解

因為是深入淺出，所以

如果稍後大家沒聽懂分享的內容，那應該就是我講得不夠淺顯

所以，如果真沒聽懂，還是點點頭喔，咪啾！

總會有個故事起頭...

推薦一本書

然後,開始吧

非同步的策略

阻塞式多行程

阻塞式多行程多執行緒

非阻塞式事件驅動

非阻塞式 Coroutine

阻塞式多行程

阻塞式多行程多執行緒

非阻塞式事件驅動

非阻塞式 Coroutine

非阻塞事件驅動

非阻塞事件驅動

非阻塞事件驅動

Non-blocking I/O

非阻塞事件驅動

Callback

Callback 的缺點

首先用我們熟悉的多執行緒來寫

例如:

多執行緒預設開數量? 總數量除以 2? 3?

有可能遇到很多設定等動態問題

範例

非阻塞事件驅動

Event-loop

範例

非阻塞 Coroutine

非阻塞 Coroutine

Coroutine?

揪竟是什麼！可以吃嗎！？

Coroutine

Generator

Generator

Generator

Future

Task

範例

學習曲線

Coroutine 如果都要這樣手刻，似乎是有點麻煩

產生器和協同程序語法不區隔讓人有點混亂

登愣！async, await 登場

暫時拋離

原生的協同程序

回到剛剛範例

可以被 await

async def

async with

Event loop

asyncio— Asynchronous I/O

async for

Demo

RS-232

Python 使用 pyserial 模組讀寫 Serial port

Data Flow

Synchronous 的寫法

Program Flow

專業養蟲師

專業養蟲師

是位擅長產生 bug 的朋友呢

錯誤在那呢？

Pyserial-asyncio

pyserial-asyncio API

Stream 說明

資料處理

然後...說好的 DEMO呢？

後端大概4這樣

前端大概4這樣

Thanks

搞懂 Python 協同程序(Coroutine): 快樂學會非同步程式開發

More from Jason