201 lines
5.4 KiB
Markdown
201 lines
5.4 KiB
Markdown
\[ [Index](index.md) | [Exercise 8.5](ex8_5.md) | [Exercise 9.1](ex9_1.md) \]
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# Exercise 8.6
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*Objectives:*
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- Learn about delegating generators
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*Files Modified:* `cofollow.py`, `server.py`
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One potential issue in code that relies on generators is the problem
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of hiding details from the user and writing libraries. A lot of low-level
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mechanics are generally required to drive everything and it's often rather
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awkward to directly expose it to users.
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Starting in Python 3.3, a new `yield from` statement can be used to
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delegate generators to another function. It is a useful way to
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clean-up code that relies on generators.
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## (a) Example: Receiving messages
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In [Exercise 8.3](ex8_3.md), we looked at the definitions of coroutines.
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Coroutines were functions that you sent data to. For example:
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```python
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>>> from cofollow import consumer
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>>> @consumer
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def printer():
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while True:
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item = yield
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print('Got:', item)
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>>> p = printer()
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>>> p.send('Hello')
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Got: Hello
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>>> p.send('World')
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Got: World
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>>>
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```
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At the time, it might have been interesting to use `yield` to receive a
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value. However, if you really look at the code, it looks pretty weird--a
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bare `yield` like that? What's going on there?
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In the `cofollow.py` file, define the following function:
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```python
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def receive(expected_type):
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msg = yield
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assert isinstance(msg, expected_type), 'Expected type %s' % (expected_type)
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return msg
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```
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This function receives a message, but then verifies that it is of an expected
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type. Try it:
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```python
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>>> from cofollow import consumer, receive
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>>> @consumer
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def print_ints():
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while True:
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val = yield from receive(int)
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print('Got:', val)
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>>> p = print_ints()
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>>> p.send(42)
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Got: 42
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>>> p.send(13)
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Got: 13
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>>> p.send('13')
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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...
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AssertionError: Expected type <class 'int'>
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>>>
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```
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From a readability point of view, the `yield from receive(int)` statement
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is a bit more descriptive--it indicates that the function will yield until
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it receives a message of a given type.
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Now, modify all of the coroutines in `coticker.py` to use the new `receive()`
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function and make sure the code from [Exercise 8.3](ex8_3.md) still
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works.
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## (b) Wrapping a Socket
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In the previous exercise, you wrote a simple network echo server using
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generators. The code for the server looked like this:
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```python
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def tcp_server(address, handler):
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sock = socket(AF_INET, SOCK_STREAM)
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sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
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sock.bind(address)
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sock.listen(5)
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while True:
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yield 'recv', sock
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client, addr = sock.accept()
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tasks.append(handler(client, addr))
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def echo_handler(client, address):
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print('Connection from', address)
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while True:
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yield 'recv', client
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data = client.recv(1000)
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if not data:
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break
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yield 'send', client
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client.send(b'GOT:', data)
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print('Connection closed')
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```
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Create a class `GenSocket` that cleans up the `yield` statements and
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allows the server to be rewritten more simply as follows:
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```python
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def tcp_server(address, handler):
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sock = GenSocket(socket(AF_INET, SOCK_STREAM))
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sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
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sock.bind(address)
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sock.listen(5)
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while True:
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client, addr = yield from sock.accept()
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tasks.append(handler(client, addr))
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def echo_handler(client, address):
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print('Connection from', address)
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while True:
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data = yield from client.recv(1000)
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if not data:
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break
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yield from client.send(b'GOT:', data)
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print('Connection closed')
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```
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## (c) Async/Await
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Take the `GenSocket` class you just wrote and wrap all of the methods
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that use `yield` with the `@coroutine` decorator from the `types` module.
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```python
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from types import coroutine
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...
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class GenSocket:
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def __init__(self, sock):
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self.sock = sock
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@coroutine
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def accept(self):
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yield 'recv', self.sock
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client, addr = self.sock.accept()
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return GenSocket(client), addr
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@coroutine
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def recv(self, maxsize):
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yield 'recv', self.sock
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return self.sock.recv(maxsize)
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@coroutine
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def send(self, data):
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yield 'send', self.sock
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return self.sock.send(data)
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def __getattr__(self, name):
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return getattr(self.sock, name)
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```
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Now, rewrite your server code to use `async` functions and `await` statements like this:
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```python
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async def tcp_server(address, handler):
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sock = GenSocket(socket(AF_INET, SOCK_STREAM))
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sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
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sock.bind(address)
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sock.listen(5)
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while True:
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client, addr = await sock.accept()
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tasks.append(handler(client, addr))
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async def echo_handler(client, address):
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print('Connection from', address)
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while True:
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data = await client.recv(1000)
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if not data:
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break
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await client.send(b'GOT:', data)
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print('Connection closed')
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```
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\[ [Solution](soln8_6.md) | [Index](index.md) | [Exercise 8.5](ex8_5.md) | [Exercise 9.1](ex9_1.md) \]
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----
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`>>>` Advanced Python Mastery
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`...` A course by [dabeaz](https://www.dabeaz.com)
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`...` Copyright 2007-2023
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. This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)
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