httpx is a Python library that provides a full-featured HTTP client based on the httpcore library. It is designed to be a drop-in replacement for the requests library but with improved performance, support for HTTP/1.1 and HTTP/2, and better support for asynchronous programming.
Here are some key features and aspects of the httpx module:
Installation
You can install httpx using pip:
pip install httpxKey Features
- Asynchronous Support:
httpxfully supports asynchronous programming using Python’sasynciomodule.- It allows making asynchronous HTTP requests, which is beneficial for performance in async applications.
- Connection Pooling:
httpxautomatically maintains a connection pool to improve the efficiency of making multiple requests to the same host.
- HTTP/1.1 and HTTP/2 Support:
- It supports both HTTP/1.1 and HTTP/2 protocols.
- WebSockets:
httpxsupports WebSocket connections.
- Streaming and Uploads:
- It supports streaming of responses and uploads.
- Automatic Decompression:
httpxautomatically handles content compression and decompression.
- Cookie Handling:
- It provides a cookie jar for handling HTTP cookies.
- Middlewares:
httpxsupports the use of middlewares for extending and customizing its behavior.
Making a GET Request with httpx
httpx library to make a GET request to “http://www.google.es” and print information about the response.
Importing the httpx Library
import httpx- Import Statement: Imports the
httpxlibrary, which provides an enhanced HTTP client for making requests.
Creating an httpx Client
client = httpx.Client(timeout=10.0)- Creating an
httpxClient: - Instantiates an
httpx.Clientobject. - The
timeoutparameter is set to 10.0 seconds, specifying the maximum time the client should wait for a response.
Making a GET Request
response = client.get("http://www.google.es")- Making a GET Request:
- Uses the
getmethod of thehttpx.Clientobject to make a GET request to “http://www.google.es.” - The response is stored in the
responsevariable.
Printing the Response Object
print(response)- Printing the Response Object:
- Prints the entire
httpx.Responseobject, which includes information about the HTTP response.
Printing the HTTP Status Code
print(response.status_code)- Printing the HTTP Status Code:
- Prints the HTTP status code of the response, indicating the success or failure of the request.
Printing the Response Text
print(response.text)- Printing the Response Text:
- Prints the content of the HTTP response as text.
import httpx
client = httpx.Client(timeout=10.0)
response = client.get("http://www.google.es")
print(response)
print(response.status_code)
print(response.text)The provided code utilizes the httpx library to create an HTTP client, make a GET request to “http://www.google.es,” and print information about the response. This includes printing the full response object, the HTTP status code, and the response content as text. The timeout parameter ensures that the client waits a maximum of 10 seconds for a response before timing out.
Asynchronous GET Request with httpx
httpx library to make an asynchronous GET request to “http://www.google.es” and prints information about the response.
Importing the httpx Library and asyncio Module
import httpx
import asyncio- Import Statements:
- Imports the
httpxlibrary for making HTTP requests. - Imports the
asynciomodule for handling asynchronous operations.
Defining an Asynchronous Function
async def request_http1():- Asynchronous Function:
- Defines an asynchronous function named
request_http1using theasync defsyntax.
Creating an httpx AsyncClient and Making an Asynchronous GET Request
async with httpx.AsyncClient() as client:
response = await client.get("http://www.google.es")- Creating an
httpxAsyncClient: - Uses
httpx.AsyncClientto create an asynchronous HTTP client within anasync withcontext. - Makes an asynchronous GET request to “http://www.google.es” using
await client.get()and stores the response in theresponsevariable.
Printing the Response Object and Text
print(response)
print(response.text)- Printing Response Information:
- Prints the entire
httpx.Responseobject, which includes information about the HTTP response. - Prints the content of the HTTP response as text.
Printing the HTTP Version
print(response.http_version)- Printing HTTP Version:
- Prints the HTTP version used in the response (e.g., “HTTP/1.1” or “HTTP/2”).
Running the Asynchronous Function
asyncio.run(request_http1())- Running the Asynchronous Function:
- Uses
asyncio.runto run the asynchronous functionrequest_http1().
import httpx
import asyncio
async def request_http1():
async with httpx.AsyncClient() as client:
response = await client.get("http://www.google.es")
print(response)
print(response.text)
print(response.http_version)
asyncio.run(request_http1())The provided code demonstrates making an asynchronous GET request to “http://www.google.es” using the httpx library. The use of the async with statement and await keyword allows for asynchronous handling of the HTTP request. The code prints information about the HTTP response, including the response object, response text, and the HTTP version used. The entire asynchronous operation is executed using asyncio.run().
Asynchronous HTTP/2 GET Request with httpx
httpx library to make an asynchronous HTTP/2 GET request to “https://www.google.es” and prints information about the response.
Importing the httpx Library and asyncio Module
import httpx
import asyncio- Import Statements:
- Imports the
httpxlibrary for making HTTP requests. - Imports the
asynciomodule for handling asynchronous operations.
Defining an Asynchronous Function
async def resquest_http2():- Asynchronous Function:
- Defines an asynchronous function named
resquest_http2using theasync defsyntax.
Creating an httpx AsyncClient with HTTP/2 Support
async with httpx.AsyncClient(http2=True) as client:- Creating an
httpxAsyncClient with HTTP/2: - Uses
httpx.AsyncClientto create an asynchronous HTTP client within anasync withcontext. - The
http2=Trueparameter enables support for the HTTP/2 protocol.
Making an Asynchronous HTTP/2 GET Request
response = await client.get("https://www.google.es")- Asynchronous HTTP/2 GET Request:
- Makes an asynchronous HTTP/2 GET request to “https://www.google.es” using
await client.get(). - Stores the response in the
responsevariable.
Printing the Response Object and HTTP Version
print(response)
print(response.http_version)- Printing Response Information:
- Prints the entire
httpx.Responseobject, which includes information about the HTTP response. - Prints the HTTP version used in the response (e.g., “HTTP/1.1” or “HTTP/2”).
Running the Asynchronous Function
asyncio.run(resquest_http2())- Running the Asynchronous Function:
- Uses
asyncio.runto run the asynchronous functionresquest_http2().
import httpx
import asyncio
async def resquest_http2():
async with httpx.AsyncClient(http2=True) as client:
response = await client.get("https://www.google.es")
print(response)
print(response.http_version)
asyncio.run(resquest_http2())The provided code demonstrates making an asynchronous HTTP/2 GET request to “https://www.google.es” using the httpx library. The use of http2=True in the httpx.AsyncClient configuration enables support for the HTTP/2 protocol. The code prints information about the HTTP response, including the response object and the HTTP version used. The entire asynchronous operation is executed using asyncio.run().
Asynchronous Parallel HTTP/2 Requests with httpx and trio
httpx library to make asynchronous parallel HTTP/2 GET requests to Wikipedia URLs and stores the results in a dictionary.
Importing the httpx and trio Libraries
import httpx
import trio- Import Statements:
- Imports the
httpxlibrary for making HTTP requests. - Imports the
triolibrary, an asynchronous I/O library, which is used for managing concurrent tasks.
Initializing Results Dictionary
results = {}- Initializing Results Dictionary:
- Initializes an empty dictionary named
resultsto store the results of the asynchronous requests.
Defining an Asynchronous Function for Fetching Results
async def fetch_result(client, url, results):
print(url)
results[url] = await client.get(url)- Asynchronous Function for Fetching Results:
- Defines an asynchronous function named
fetch_result. - Takes an
httpx.AsyncClient, a URL, and theresultsdictionary as parameters. - Prints the URL.
- Makes an asynchronous HTTP GET request using
await client.get(url)and stores the response in theresultsdictionary.
Defining the Main Asynchronous Function for Parallel Requests
async def main_parallel_requests():
async with httpx.AsyncClient(http2=True) as client:
async with trio.open_nursery() as nursery:
for i in range(2000, 2020):
url = f"https://en.wikipedia.org/wiki/{i}"
nursery.start_soon(fetch_result, client, url, results)- Main Asynchronous Function for Parallel Requests:
- Defines the main asynchronous function named
main_parallel_requests. - Creates an
httpx.AsyncClientwith HTTP/2 support within anasync withcontext. - Opens a
trionursery for managing concurrent tasks. - Iterates through a range of years (2000 to 2019) and starts a new task (coroutine) for each Wikipedia URL using
nursery.start_soon.
Running the Asynchronous Main Function with trio.run
trio.run(main_parallel_requests)- Running the Asynchronous Main Function:
- Uses
trio.runto execute themain_parallel_requestsasynchronous function.
Printing the Results Dictionary
print(results)- Printing the Results Dictionary:
- Prints the populated
resultsdictionary after the parallel requests have been completed.
import httpx
import trio
results={}
async def fetch_result(client,url,results):
print(url)
results[url] = await client.get(url)
async def main_parallel_requests():
async with httpx.AsyncClient(http2=True) as client:
async with trio.open_nursery() as nursey:
for i in range(2000,2020):
url = f"https://en.wikipedia.org/wiki/{i}"
nursey.start_soon(fetch_result,client,url,results)
trio.run(main_parallel_requests)
print(results)The provided code demonstrates making asynchronous parallel HTTP/2 GET requests to Wikipedia URLs for a range of years (2000 to 2019) using the httpx library and managing concurrent tasks with the trio library. The results of the requests are stored in the results dictionary, and the final dictionary is printed after the requests are completed. The asynchronous nature of the code allows for concurrent execution of multiple requests.
