The Django project is a Python custom framework that originated from an online news Web site and was released as open source in 2005. This article will conduct source code analysis of django's request process.
1. What is the process from the browser issuing a request to returning the response content?
1. The browser parses the input url
2. Finds the IP address corresponding to the URL
3. Accesses our server through the IP address
a . The request enters the wsgi server (I have omitted the possible proxy server here, such as nginx)
b. The wsgi server packages the request and passes it to the django application
c. The django application is based on The request path finds the corresponding processing function for processing
d. After the processing is completed, the django application returns the response to the wsgi server
e. The wsgi server packages the response returned by the django application and returns the response
4. The server returns the response content, and the browser renders the output
2. Processing entrance of the django application
The wsgi service communicates with the django application through the wsgi protocol. The wsgi service It is the server side, and the Django application is application. The server side calls the Djano application through the application_callable function provided by Django. After the application_callable function is processed, the response is returned to the server
#django The application_callable function is in the django.core.handlers.wsgi.py file. The server will call the WSGIHandler class when processing each request.
#wsgi.py文件 class WSGIHandler(base.BaseHandler): request_class = WSGIRequest def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.load_middleware() def __call__(self, environ, start_response): set_script_prefix(get_script_name(environ)) signals.request_started.send(sender=self.__class__, environ=environ) request = self.request_class(environ) response = self.get_response(request) response._handler_class = self.__class__ status = '%d %s' % (response.status_code, response.reason_phrase) response_headers = list(response.items()) for c in response.cookies.values(): response_headers.append(('Set-Cookie', c.output(header=''))) start_response(status, response_headers) if getattr(response, 'file_to_stream', None) is not None and environ.get('wsgi.file_wrapper'): response = environ['wsgi.file_wrapper'](response.file_to_stream) return response
3. Django processing request process
The WSGIHandler class is in During initialization, first load the middleware, and encapsulate the requested function _get_response with middleware (middleware is equivalent to a decorator). When executed, the middleware will execute
# wsgi.py文件
# wsgi.py文件 def load_middleware(self): ... self._view_middleware = [] self._template_response_middleware = [] self._exception_middleware = [] handler = convert_exception_to_response(self._get_response) for middleware_path in reversed(settings.MIDDLEWARE): middleware = import_string(middleware_path) try: mw_instance = middleware(handler) except MiddlewareNotUsed as exc: ... handler = convert_exception_to_response(mw_instance) self._middleware_chain = handler
Next, the request is called WSGIHandler
1. Instantiate a request_class
2. Get the request through get_response, get_response will eventually call the function _get_response
def _get_response(self, request): response = None if hasattr(request, 'urlconf'): urlconf = request.urlconf set_urlconf(urlconf) resolver = get_resolver(urlconf) else: resolver = get_resolver() resolver_match = resolver.resolve(request.path_info) callback, callback_args, callback_kwargs = resolver_match request.resolver_match = resolver_match ... if response is None: wrapped_callback = self.make_view_atomic(callback) try: response = wrapped_callback(request, *callback_args, **callback_kwargs) except Exception as e: response = self.process_exception_by_middleware(e, request) ... return response
_get_response function encapsulated by the middleware, First, the view function to be called will be found based on the url resolver_match = resolver.resolve(request.path_info), and then the view function response = wrapped_callback(request, *callback_args, **callback_kwargs) Return the response (some middleware will also be called in _get_response)
At this point, the response is returned to the server, and the entire request process is completed
4. Summary
django For a request, the main process is to find the view function corresponding to the request, call the view function encapsulated by the middleware, and return the response.
[Recommended course: Django video tutorial]
The above is the detailed content of Django source code analysis request process. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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

Atom editor mac version download
The most popular open source editor

Dreamweaver Mac version
Visual web development tools

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

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),

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function