tornado | 易学教程

Tornado request.body

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问题 My Tornado application accepts POST data through http body request In my handler I am able to get the request def post(self): data = self.request.body The data I am getting is in the from of str(dictionary) Is there a way to receive this data in the form of a Python dictionary? I don't want to use eval on the server side to convert this string to a Python dictionary. 回答1: As an alternative to Eloim's answer, Tornado provides tornado.escape for "Escaping/unescaping HTML, JSON, URLs, and others

Python tornado with multi-process

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I found how to execute tornado with multi-process. server = HTTPServer(app) server.bind(8888) server.start(0) #Forks multiple sub-processes IOLoop.current().start() In this situation is there any way to share resource over processes? and It seems using the same port over processes. Does tornado balance the load itself for each process? If so, how does it do? In general, when using multi-process mode the processes only communicate via external services: databases, cache servers, message queues, etc. There are some additional options available for processes that are running on the same machine

Caching and reusing a function result in Tornado

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问题 I have an expensive function to include in my Tornado app. The function returns several outputs but, for legacy reason, these outputs are accessed separately through different handlers. Is there a way to execute the function only once, re-use the result for the different handlers and preserve Tornado's asynchronous behavior? from tornado.web import RequestHandler from tonado.ioloop import IOLoop # the expensive function def add(x, y): z = x + y return x, y, z # the handlers that reuse the

Tornado: mime-type of the stream_request_body output

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问题 I'm using tornado.web.stream_request_body (tornado v4.0.1) to save post data but it seems like mime-type of the saved files remain as application/octet-stream . i need to know mime-type of the uploaded file and here is my code snippet; @stream_request_body class MainHandler(tornado.web.RequestHandler): def post(self): pass def prepare(self): self.temp_file = tempfile.NamedTemporaryFile(delete=False) def data_received(self, chunk): self.temp_file.write(chunk) extra information; files are saved

Tornado [Errno 24] Too many open files [duplicate]

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问题 This question already has an answer here : Tornado “error: [Errno 24] Too many open files” error (1 answer) Closed 5 years ago . We are running a Tornado 3.0 service on a RedHat OS and getting the following error: [E 140102 17:07:37 ioloop:660] Exception in I/O handler for fd 11 Traceback (most recent call last): File "/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py", line 653, in start self._handlers[fd](fd, events) File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context

Running blocking code in Tornado

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I have a tornado app and I want to to use a blocking library to accomplish something. In cases where it's not possible to rewrite the library in an async manner, what's the way to execute it in tornado? For example, I'd like to be able to put an @asynchronous decorator on a request handler, in it start some long running function that will just return a response once it's done. I can't just put a callback. The easiest example is of course what is the right way to sleep for 10 seconds without blocking tornado's only thread? It seems like what I wanted was simply creating a new thread/process,

Python Tornado - disable logging to stderr

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问题 I have minimalistic Tornado application: import tornado.ioloop import tornado.web class PingHandler(tornado.web.RequestHandler): def get(self): self.write("pong\n") if __name__ == "__main__": application = tornado.web.Application([ ("/ping", PingHandler), ]) application.listen(8888) tornado.ioloop.IOLoop.instance().start() Tornado keeps reporting error requests to stderr: WARNING:tornado.access:404 GET / (127.0.0.1) 0.79ms Question: It want to prevent it from logging error messages. How?

Tornado Async HTTP returning results incrementally

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问题 From what I understand from tornado.gen module docs is that tornado.gen.Task comprises of tornado.gen.Callback and tornado.gen.Wait with each Callback/Wait pair associated with unique keys ... @tornado.web.asynchronous @tornado.gen.engine def get(self): http_client = AsyncHTTPClient() http_client.fetch("http://google.com", callback=(yield tornado.gen.Callback("google"))) http_client.fetch("http://python.org", callback=(yield tornado.gen.Callback("python"))) http_client.fetch("http:/

Why does it make sense to use asynchronous clients for Redis?

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In this page listing the redis clients , I counted 8 asynchronous libraries. My understanding is that frameworks like as node.js or tornado only make sense when the asynchronous callback functions are not fighting with each other for I/O, otherwise you might as well go synchronous. But Redis is single-threaded. So they are actually fighting for I/O. Doesn't the single-threaded nature of Redis cancel all the potential benefits of asynchronous callbacks? Why does it make sense to use asynchronous clients with Redis? The single-threaded nature of Redis is irrelevant regarding the potential

Buuctf刷题(持续更新)

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前言希望自己能够更加的努力，希望通过多刷大赛题来提高自己的知识面。(ง •_•)ง easy_tornado 进入题目看到render就感觉可能是模板注入的东西 hints.txt给出提示，可以看到url中的filehash 呢么意思就是如果知道cookie_secret的话，再结合md5的filename就可以读到/flllllag了把其实到这里我就没什么思路了，对于render肯定存在模板的问题，百度了一下标题tornado Tornado 是一种 Web 服务器软件的开源版本。Tornado 和现在的主流 Web 服务器框架（包括大多数 Python 的框架）有着明显的区别：它是非阻塞式服务器，而且速度相当快。一搜，render组合tornado，全是这道题的题解，我惊了。。那就看着WP来复现把，而不是自己做出来。。。随便删除了filehash后，跳到了这个页面。可以看到msg参数，传入了Error，页面就显示Error，通过一般常用的{{}}来测试通过查阅Tornado官方文档可以发现cookie_secret存在于 RequestHandler中我们查阅资料发现 cookie_secret在RequestHandler.settings中在官方文档中可以看到,在Tornado的前端页面模板中,Tornado提供了一些对象别名来快速访问对象。