Detailed explanation of the method of calling python across domains from json-Python Tutorial-php.cn

Home

Backend Development

Python Tutorial

Detailed explanation of the method of calling python across domains from json

高洛峰

Jan 13, 2017 pm 01:01 PM

The example in this article describes the method of calling python across domains from json. Share it with everyone for your reference, the details are as follows:

Client:

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
  <html xmlns="http://www.w3.org/1999/xhtml">
  <head>
  <meta http-equiv="Content-Type" content="text/html; charset=gb2312" />
  <title>jQuery-跨域请求</title>
  <script src="http://code.jquery.com/jquery-1.10.1.min.js"></script>
  <script src="http://code.jquery.com/jquery-migrate-1.2.1.min.js"></script>
  </head>
   <script type="text/javascript">
  jQuery(document).ready(function(){
    $.ajax({
      type : "GET",
      url : "http://10.13.38.43:1234/?id=10&callback=?",
      dataType : "jsonp",
      jsonp: &#39;callback&#39;,
      success : function(json){
          alert(json.account);
        //$(&#39;#msg_box&#39;).html(json);
        //return true;
      }
    });
  });
  </script>
   <body>
  <div id="msg_box"></div>
  </body>
  </html>

Server

import web
urls=(&#39;/&#39;,&#39;Index&#39;,)
class Index:
    def GET(self):
      inputdata=web.input()
      mycallbackfun=inputdata.callback
      #return &#39;hello&#39; +inputdata.id
      return mycallbackfun+&#39;({"account":"XX","passed":"true","error":"null"})&#39;
app = web.application(urls, globals())
if __name__==&#39;__main__&#39;:
    app.run()

Attachment: Introduction to jquery cross-domain request method

Here Introduces the jQuery cross-domain request method and provides simple sample code for reference.

There was a problem with the use of ajax jsonp in the project: the request result could be obtained successfully, but the success method was not executed. Finally, it was solved and recorded.

function TestAjax()
{
  $.ajax({
    type : "get",
    async : false,
    url : "ajaxHandler.ashx", //实际上访问时产生的地址为: ajax.ashx?callbackfun=jsonpCallback&id=10
    data : {id : 10},
    cache : false, //默认值true
    dataType : "jsonp",
    jsonp: "callbackfun",//传递给请求处理程序或页面的，用以获得jsonp回调函数名的参数名(默认为:callback)
    jsonpCallback:"jsonpCallback",
      //自定义的jsonp回调函数名称，默认为jQuery自动生成的随机函数名
      //如果这里自定了jsonp的回调函数，则success函数则不起作用;否则success将起作用
    success : function(json){
      alert(json.message);
    },
    error:function(){
      alert("erroe");
    }
  });
}
function jsonpCallback(data) //回调函数
{
  alert(data.message); //
}
public class ajaxHandler : IHttpHandler
{
  public void ProcessRequest (HttpContext context) {
    context.Response.ContentType = "text/plain";
    string callbackfun = context.Request["callbackfun"];
    context.Response.Write(callbackfun + "({name:\"John\", message:\"hello John\"})");
    context.Response.End();
  }
  public bool IsReusable {get {return false;}
}

ajax request parameter description:

dataType string The data type returned by the server.
If not specified, jQuery will automatically make intelligent judgments based on the HTTP package MIME information. For example, the XML MIME type is recognized as XML.

Available values:

"xml": Returns an XML document that can be processed with jQuery.
"html": Returns plain text HTML information; the included script tag will be executed when inserted into the dom.
"script": Returns plain text JavaScript code. Results are not cached automatically. Unless the "cache" parameter is set.

Note: When making remote requests (not under the same domain), all POST requests will be converted into GET requests. (Because the DOM script tag will be used to load)

"json": Returns JSON data.
"text": Returns a plain text string
"jsonp": jsonp format. When calling a function using jsonp format, when accessing the url, "callback=callbackFunName" will be automatically added to the end of the url to execute the callback function (callbackFunName).

jsonp string

Rewrite the name of the callback function in a jsonp request. This value is used to replace the "callback" part of the url parameter in a get or post request such as "callback=?". For example, jsonp:'callbackfun' will generate "callbackfun=?" and pass it to the server.

jsonpCallback String This parameter specifies a callback function name for the jsonp request.

This value will be used to replace the random function name automatically generated by jQuery. That is the question mark part in "callback=?" above.

This is mainly used to allow jQuery to generate unique function names so that requests are easier and callback functions and error handling can be conveniently provided.

You can also specify this callback function name when you want the browser to cache GET requests.

The main difference between ajax jsonp and ordinary ajax requests is the processing of request response results. The response result shown in the above code is:

jsonpCallback({ name:"world",message:"hello world"});

In fact, it is to call the jsonp callback function jsonpCallback, and pass the string or json to be responded to this method. Regarding the customized jsonp callback function, the success function It will not work, probably its underlying implementation (of course this is the default callback function, otherwise the success method will not be executed):

function default_jsonpCallback(data)
{
  success(data); //在默认的回调方法中执行
}

I hope this article will help everyone in Python programming. help.

For more detailed explanations on how to call python across json domains, please pay attention to the PHP Chinese website!

Statement

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

How Do I Use Beautiful Soup to Parse HTML?Mar 10, 2025 pm 06:54 PM

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

Mathematical Modules in Python: StatisticsMar 09, 2025 am 11:40 AM

Python's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti

Serialization and Deserialization of Python Objects: Part 1Mar 08, 2025 am 09:39 AM

Serialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program

How to Perform Deep Learning with TensorFlow or PyTorch?Mar 10, 2025 pm 06:52 PM

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

What are some popular Python libraries and their uses?Mar 21, 2025 pm 06:46 PM

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

How to Create Command-Line Interfaces (CLIs) with Python?Mar 10, 2025 pm 06:48 PM

This article guides Python developers on building command-line interfaces (CLIs). It details using libraries like typer, click, and argparse, emphasizing input/output handling, and promoting user-friendly design patterns for improved CLI usability.

Scraping Webpages in Python With Beautiful Soup: Search and DOM ModificationMar 08, 2025 am 10:36 AM

This tutorial builds upon the previous introduction to Beautiful Soup, focusing on DOM manipulation beyond simple tree navigation. We'll explore efficient search methods and techniques for modifying HTML structure. One common DOM search method is ex

How to solve the permissions problem encountered when viewing Python version in Linux terminal?Apr 01, 2025 pm 05:09 PM

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

See all articles

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

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 agoBy尊渡假赌尊渡假赌尊渡假赌

How Long Does It Take To Beat Split Fiction?

1 months agoByDDD

R.E.P.O. Save File Location: Where Is It & How to Protect It?

1 months agoByDDD

R.E.P.O. Best Graphic Settings

2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Assassin's Creed Shadows: Seashell Riddle Solution

1 weeks agoByDDD

Hot Tools

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

SublimeText3 English version

Recommended: Win version, supports code prompts!

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.