Table of Contents
1. Asynchronous streams
2. How to open the connection
3. How to start the server
4. How to use StreamWriter to write data
5. How to use StreamReader to read data
6. How to close the connection
Home Backend Development Python Tutorial How to use Python asynchronous non-blocking streams

How to use Python asynchronous non-blocking streams

May 21, 2023 pm 10:02 PM
python

1. Asynchronous streams

One of the main benefits of asyncio is the ability to use non-blocking streams.

Asyncio provides non-blocking I/O socket programming. This is provided via streaming.

Can open sockets that provide access to stream writers and stream writers. Use coroutines to write and read data from the stream and pause when appropriate. Once completed, the socket can be closed.

The asynchronous streaming functionality is low-level, which means that any protocols required must be implemented manually.

This may include common web protocols such as:

  • HTTP or HTTPS for interacting with the web server

  • SMTP for interacting with email servers

  • FTP for interacting with file servers.

These streams can also be used to create servers to handle requests using standard protocols, or to develop your own application-specific protocols.

Now that we know what asynchronous streams are, let’s see how to use them.

2. How to open the connection

You can use the asyncio.open_connection() function to open the asyncio TCP client socket connection.

This is a coroutine that must wait and return once the socket connection is opened.

This function returns the StreamReader and StreamWriter objects used to interact with the socket.

...
# open a connection
reader, writer = await asyncio.open_connection(...)
Copy after login

There are multiple parameters that can be used to configure the socket connection in the asyncio.open_connection() function.. The two required parameters are host and port.

host is a string specifying the server to connect to, such as a domain name or IP address.

port is the socket port number, such as 80 for HTTP server, 443 for HTTPS server, 23 for SMTP, etc.

...
# open a connection to an http server
reader, writer = await asyncio.open_connection('www.google.com', 80)
Copy after login

Supports encrypted socket connections via SSL protocol. Perhaps the most common example is HTTPS, which is replacing HTTP. This can be achieved by setting the "ssl" parameter to True.

...
# open a connection to an https server
reader, writer = await asyncio.open_connection('www.google.com', 443, ssl=True)
Copy after login

3. How to start the server

You can use the asyncio.start_server() function to open the asyncio TCP server socket. This is a coroutine that must wait.

This function returns an asyncio.Server object representing the running server.

...
# start a tcp server
server = await asyncio.start_server(...)
Copy after login

The three required parameters are the callback function, host and port. When the client connects to the server, the callback function is called, which is a named custom function.

The host is the domain name or IP address that the client will specify to connect to. The port used by FTP is 21 and the port used by HTTP is 80. These ports are the socket port numbers used to receive connections.

# handle connections
async def handler(reader, writer):
	# ...
...
# start a server to receive http connections
server = await asyncio.start_server(handler, '127.0.0.1', 80)
Copy after login

4. How to use StreamWriter to write data

You can use asyncio.StreamWriter to transfer data to the socket. Data is written in bytes. Byte data can be written to a socket using the write() method.

...
# write byte data
writer.write(byte_data)
Copy after login

Alternatively, the writelines() method can be used to write multiple "lines" of byte data organized into a list or iterable.

...
# write lines of byte data
writer.writelines(byte_lines)
Copy after login

There are no methods to write data blocks or suspend calling coroutines. After writing byte data, it is best to empty the socket via the drain() method. This is a coroutine that will cause the caller to pause until the data is transferred and the socket is ready.

...
# write byte data
writer.write(byte_data)
# wait for data to be transmitted
await writer.drain()
Copy after login

5. How to use StreamReader to read data

Use asyncio.StreamReader to read data in the socket. The data is read in bytes format, so strings may need to be encoded before use. All read methods are coroutines that must wait.

You can read any number of bytes through the read() method, which will read until the end of file (EOF).

...
# read byte data
byte_data = await reader.read()
Copy after login

Additionally, the number of bytes to read can be specified via the "n" parameter. It might help if you know the expected number of bytes for the next response.

...
# read byte data
byte_data = await reader.read(n=100)
Copy after login

You can use the readline() method to read a single line of data. This will return bytes until a newline character "\n" or EOF is encountered.

This is useful when reading standard protocols that operate with lines of text.

...
# read a line data
byte_line = await reader.readline()
Copy after login

Additionally, there is a readexactly() method to read the exact number of bytes, otherwise an exception will be thrown, and a readuntil() method that will read bytes until the bytes are read Specify characters.

6. How to close the connection

You can use the asyncio.StreamWriter object to close the network socket. The socket can be closed by calling the close() method. This method does not block.

...
# close the socket
writer.close()
Copy after login

Although the close() method is non-blocking, we can wait for the socket to be completely closed before continuing. This can be achieved through the wait_closed() method. This is a coroutine that can be awaited.

...
# close the socket
writer.close()
# wait for the socket to close
await writer.wait_closed()
Copy after login

We can check whether the socket has been closed or is being closed through the is_closing() method.

...
# check if the socket is closed or closing
if writer.is_closing():
	# ...
Copy after login

The above is the detailed content of How to use Python asynchronous non-blocking streams. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Can the Python interpreter be deleted in Linux system? Can the Python interpreter be deleted in Linux system? Apr 02, 2025 am 07:00 AM

Regarding the problem of removing the Python interpreter that comes with Linux systems, many Linux distributions will preinstall the Python interpreter when installed, and it does not use the package manager...

How to solve the problem of Pylance type detection of custom decorators in Python? How to solve the problem of Pylance type detection of custom decorators in Python? Apr 02, 2025 am 06:42 AM

Pylance type detection problem solution when using custom decorator In Python programming, decorator is a powerful tool that can be used to add rows...

How to solve permission issues when using python --version command in Linux terminal? How to solve permission issues when using python --version command in Linux terminal? Apr 02, 2025 am 06:36 AM

Using python in Linux terminal...

Python 3.6 loading pickle file error ModuleNotFoundError: What should I do if I load pickle file '__builtin__'? Python 3.6 loading pickle file error ModuleNotFoundError: What should I do if I load pickle file '__builtin__'? Apr 02, 2025 am 06:27 AM

Loading pickle file in Python 3.6 environment error: ModuleNotFoundError:Nomodulenamed...

Do FastAPI and aiohttp share the same global event loop? Do FastAPI and aiohttp share the same global event loop? Apr 02, 2025 am 06:12 AM

Compatibility issues between Python asynchronous libraries In Python, asynchronous programming has become the process of high concurrency and I/O...

What should I do if the '__builtin__' module is not found when loading the Pickle file in Python 3.6? What should I do if the '__builtin__' module is not found when loading the Pickle file in Python 3.6? Apr 02, 2025 am 07:12 AM

Error loading Pickle file in Python 3.6 environment: ModuleNotFoundError:Nomodulenamed...

How to ensure that the child process also terminates after killing the parent process via signal in Python? How to ensure that the child process also terminates after killing the parent process via signal in Python? Apr 02, 2025 am 06:39 AM

The problem and solution of the child process continuing to run when using signals to kill the parent process. In Python programming, after killing the parent process through signals, the child process still...

See all articles