All framework request responses are based on one principle http request --> wsgi server --> wsgi interface (actually the function implemented by a custom implementation in the framework is encapsulated at the bottom) --> response You can refer to the explanation of the wsgi interface in Liao Xuefeng's tutorial
class HeaderDict(dict):''' A dictionary with case insensitive (titled) keys. You may add a list of strings to send multible headers with the same name.'''def __setitem__(self, key, value):return dict.__setitem__(self,key.title(), value) #注意这里使用title函数,它能将每个单词的开头大写def __getitem__(self, key):return dict.__getitem__(self,key.title())def __delitem__(self, key):return dict.__delitem__(self,key.title())def __contains__(self, key):return dict.__contains__(self,key.title())def items(self):""" Returns a list of (key, value) tuples """for key, values in dict.items(self):if not isinstance(values, list): values = [values]for value in values:yield (key, str(value)) def add(self, key, value):""" Adds a new header without deleting old ones """if isinstance(value, list):for v in value:self.add(key, v) #注意这里使用了递归elif key in self:if isinstance(self[key], list):self[key].append(value)else:self[key] = [self[key], value]else: self[key] = [value]
HeaderDict encapsulates the dict and capitalizes the first letter of the word in the dictionary key. And turn value into an iterable object, and turn value into a list object, that is, value=[value]. The WSGI standard defines that a string type should be converted into a list type, which will give it a better representation. The server does not need to output all at once, but can use yield to control the output to avoid outputting too much at one time. All in all, this class that encapsulates dict implements two functions:
Convert value to list, optimize the data representation form
The first letter of the word in key is capitalized
def abort(code=500, text='Unknown Error: Appliction stopped.'):""" Aborts execution and causes a HTTP error. """raise HTTPError(code, text)def redirect(url, code=307):""" Aborts execution and causes a 307 redirect """response.status = code response.header['Location'] = urlraise BreakTheBottle("")def send_file(filename, root, guessmime = True, mimetype = 'text/plain'):""" Aborts execution and sends a static files as response. """root = os.path.abspath(root) + '/'filename = os.path.normpath(filename).strip('/') filename = os.path.join(root, filename)#判断文件是否可获得if not filename.startswith(root): #主目录下的文件不可以下载abort(401, "Access denied.")if not os.path.exists(filename) or not os.path.isfile(filename): abort(404, "File does not exist.")if not os.access(filename, os.R_OK): abort(401, "You do not have permission to access this file.")# 获得文件类型if guessmime: guess = mimetypes.guess_type(filename)[0]if guess: response.content_type = guesselif mimetype: response.content_type = mimetypeelif mimetype: response.content_type = mimetype#设置Content_typestats = os.stat(filename)# TODO: HTTP_IF_MODIFIED_SINCE -> 304 (Thu, 02 Jul 2009 23:16:31 CEST)if 'Content-Length' not in response.header: response.header['Content-Length'] = stats.st_sizeif 'Last-Modified' not in response.header: ts = time.gmtime(stats.st_mtime) ts = time.strftime("%a, %d %b %Y %H:%M:%S +0000", ts) response.header['Last-Modified'] = tsraise BreakTheBottle(open(filename, 'r'))
The three functions above implement internal server errors, redirection, and file download respectively. This function of file download implements the judgment of file type, setting of Content_type, judgment of file permissions, obtaining file status, etc. This function is still very simple and can be customized.
The above is the detailed content of Detailed explanation of HeaderDict of Bottle source code. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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