


Displaying Data Streamed from a Flask View as It Updates
Introduction
In Flask applications, it's often desirable to display data that is generated or updated in real time. While Flask has built-in support for streaming responses, incorporating this data into an HTML template can be challenging. This article explores how to dynamically update, format, and display data as it is streamed to the page.
Streaming data in Flask
To stream data in Flask, you can use a generator as the response to a route. Each time the response is iterated over, the generator yields a chunk of data to the client. For example:
@app.route('/') def index(): def inner(): for i in range(500): # simulate a long process to watch j = math.sqrt(i) time.sleep(1) # this value should be inserted into an HTML template yield str(i) + '<br>\n' return flask.Response(inner(), mimetype='text/html')
This code simulates a long-running process that generates values every second. These values are then streamed to the response as HTML fragments.
Handling streamed data in JavaScript
While Flask supports streaming responses, HTML templates are rendered once on the server side and cannot be dynamically updated. To handle streamed data in the browser, you can use JavaScript to make a request to the endpoint and process the streamed data as it arrives.
One approach is to use the XMLHttpRequest (XHR) object to create a request to the streaming endpoint. You can then периодически read data from the response until it's complete. Here's an example:
var xhr = new XMLHttpRequest(); xhr.open('GET', '{{ url_for('stream') }}'); xhr.send(); var position = 0; function handleNewData() { // the response text includes the entire response so far // split the messages, then take the messages that haven't been handled yet // position tracks how many messages have been handled // messages end with a newline, so split will always show one extra empty message at the end var messages = xhr.responseText.split('\n'); messages.slice(position, -1).forEach(function(value) { // Update the displayed data using JavaScript latest.textContent = value; // update the latest value in place // Append the current value to a list to log all output var item = document.createElement('li'); item.textContent = value; output.appendChild(item); }); position = messages.length - 1; } // Check for new data periodically var timer; timer = setInterval(function() { // check the response for new data handleNewData(); // stop checking once the response has ended if (xhr.readyState == XMLHttpRequest.DONE) { clearInterval(timer); latest.textContent = 'Done'; } }, 1000);
This JavaScript code uses the XMLHttpRequest object to create a request to the streaming endpoint. It then sets up a timer to periodically check for new data and update the page accordingly.
Using an iframe for streamed HTML output
Another approach to displaying data streamed from a Flask view is to use an iframe. An iframe is a separate document that can be used to display streamed HTML output. Here's an example:
@app.route('/stream') def stream(): @stream_with_context def generate(): # Serve initial CSS to style the iframe yield render_template_string('<link rel="stylesheet" href="%7B%7B%20url_for(" static filename="stream.css">') # Continuously stream HTML content within the iframe for i in range(500): yield render_template_string('<p>{{ i }}: {{ s }}</p>\n', i=i, s=sqrt(i)) sleep(1) return app.response_class(generate())
<p>This is all the output:</p> <iframe src="%7B%7B%20url_for('stream')%20%7D%7D"></iframe>
This code uses the stream_with_context decorator to enhance the generator to support additional functionality. It serves initial CSS to style the iframe and continuously streams HTML content within the iframe. The HTML template in the iframe can be more complex and can include different formatting as needed.
The above is the detailed content of How to Dynamically Update and Display Data Streamed from a Flask View?. For more information, please follow other related articles on the PHP Chinese website!

Pythonisbothcompiledandinterpreted.WhenyourunaPythonscript,itisfirstcompiledintobytecode,whichisthenexecutedbythePythonVirtualMachine(PVM).Thishybridapproachallowsforplatform-independentcodebutcanbeslowerthannativemachinecodeexecution.

Python is not strictly line-by-line execution, but is optimized and conditional execution based on the interpreter mechanism. The interpreter converts the code to bytecode, executed by the PVM, and may precompile constant expressions or optimize loops. Understanding these mechanisms helps optimize code and improve efficiency.

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 English version
Recommended: Win version, supports code prompts!

SublimeText3 Mac version
God-level code editing software (SublimeText3)

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
