tornado | Python web framework and asynchronous networking library | Web Framework library
kandi X-RAY | tornado Summary
kandi X-RAY | tornado Summary
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
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Top functions reviewed by kandi - BETA
- Run the HTTP server
- Return current time
- Add a deadline
- Call a callback on a given time
- Wrap a coroutine function into a future
- Set the result of a future
- Set exception to future
- Set the given exception
- Post entry
- Handle a connection
- Parse the range header
- Handle events from fd
- Start the future
- The raw xsrf token
- Create a new HTTPServer
- Combine the first chunk of the response
- Create and return an IOStream object
- Find groups that match the pattern
- Fetch a request
- Start the server
- Get the contents of a bucket
- Return a future with the given timeout
- Write headers to the client
- Runs a function in parallel
- Define logging options
- Connect to given host and port
tornado Key Features
tornado Examples and Code Snippets
Lines of Code : 8License : Non-SPDX (NOASSERTION)
Copyclass MyHandler(HubOAuthenticated, web.RequestHandler):
def initialize(self, hub_auth):
self.hub_auth = hub_auth
@web.authenticated
def get(self):
...
import os
import tornado.web
from mopidy import ext
class MyRequestHandler(tornado.web.RequestHandler):
def initialize(self, core):
self.core = core
def get(self):
self.write(
'Hello, world! This is Mopidy %s' %
self.c import random
import logging
import threading
import tornado.websocket
import tornado.web
import tornado.ioloop
from datetime import date, datetime
from perspective import Table, PerspectiveManager, PerspectiveTornadoHandler
def data_source():
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This example shows webhook echo bot with Tornado web framework
# Documenation to Tornado: http://tornadoweb.org
import signal
from typing import Optional, Awaitable
import tornado.httpserver
import t ################################################################################
#
# Copyright (c) 2019, the Perspective Authors.
#
# This file is part of the Perspective library, distributed under the terms of
# the Apache License 2.0. The full lic from multiprocessing import Queue, Process
from threading import Thread
from time import sleep
urls_queue = Queue()
max_process = 4
def read_urls():
with open('urls_file.txt', 'r') as f:
for url in f:
urls_queue.pclass BaseHandler(web.RequestHandler):
def prepare(self):
id = self.path_args[0]
status = self.path_args[1]
try:
id = int(id)
except ValueError:
raise web.HTTPError(400, "Invaliddef gray_to_rgb(img):
x=np.dot(img[...,:3], [0.2989, 0.5870, 0.1140])
mychannel=np.repeat(x[:, :, np.newaxis], 3, axis=2)
return mychannel
tfc.initialize_all_variables().run()
python is /opt/anaconda3/bin/python
python is /usr/local/bin/python
python is /usr/bin/python
Community Discussions
Trending Discussions on tornado
QUESTION
Trying to make my own component based on KubernetesPodOperator. I am able to define and add the component to the list of components but when trying to run it, I get:
Operator 'KubernetesPodOperator' of node 'KubernetesPodOperator' is not configured in the list of available operators. Please add the fully-qualified package name for 'KubernetesPodOperator' to the AirflowPipelineProcessor.available_airflow_operators configuration.
and error:
...ANSWER
Answered 2022-Feb-21 at 15:16The available_airflow_operators list is a configurable trait in Elyra. You’ll have to add the fully-qualified package name for the KubernetesPodOperator to this list in order for it to create the DAG correctly.
To do so, generate a config file from the command line with jupyter elyra --generate-config. Open the created file and add the following line (you can add it under the PipelineProcessor(LoggingConfigurable) heading if you prefer to keep the file organized):
QUESTION
I read ton of articles, but still can't figure out what I'm missing. I'm running a django website from virtualenv. Here's my config file. The website address is replaced by , can't use that here.
...Config
ANSWER
Answered 2021-Sep-23 at 15:28The error says that either you haven't got Django installed or didn't activate the virtual environment in which the Django was installed. Make sure that you check the list of installed packages and find Django in there, via:
QUESTION
I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.
But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.
So I did the following:
- write a simple
meta.yamlso I could use conda-build to buildjivelocally - build jive with
conda build . - I looked at the tarball that was produced and it does indeed contain the
jivesource as expected - In my other project, add jive to the dependencies in
environment.yml, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).
Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").
Try adjusting the meta.yaml to something like
QUESTION
I am following the code found on the accepted answer to this SO question (the "Chunk then scatter" part) and I get a strange error while trying to scatter a pandas.DataFrame to the workers.
I am working in jupyter notebook if that matters.
I am not sure what this error means, it's quite cryptic, so any help would be greatly appreciated.
...ANSWER
Answered 2022-Jan-24 at 05:07dd.from_pandas() does this "partitioning-then-scattering" internally, so you don't have to do it manually anymore. You can directly use the Dask DataFrame API on x, and the compute should automatically work on your cluster. :)
The answer you've linked is from 5 years ago, which is now outdated because Dask has matured a lot since. For instance, x.dask now refers to a "high level graph" (recently added feature) instead of a low-level graph. Dask Gateway uses its own URL scheme, and I'm guessing it's not able to interface with this older Dask syntax properly.
Also, note that mixing schedulers (as done in that answer) isn't recommended anymore.
QUESTION
I install new modules via the following command in my miniconda
...ANSWER
Answered 2022-Jan-06 at 20:11Consider creating a separate environment, e.g.,
QUESTION
I have a conda env that I build from a requirements.yml file that I obtained from a classmate so we could work on a project together. I tried installing matplotlib and it resulted in a gigantic list of incompatibilities that I don't think I could even start tackling manually.
Here are the most important packages I'm using (the ones that have come up in a few other posts I've looked at and what the error looks like):
- python 3.9.7
- tensorflow 2.6.0
- anaconda 4.11
- numpy 1.21.2
- tornado 6.1
Is there a way of adressing this without going into every line of the error?:
The part of the error containing matplotlib incompatibilities specifically:
...ANSWER
Answered 2021-Dec-16 at 17:47- Create separate conda environments. keras-tf should be in a separate environment from (base), which you're doing, but you may want to create it from scratch.
- When creating an environment from scratch, conda works out the correct dependencies, but if installing from a requirements file, specific versions are being forced. If the yml file being used wasn't from conda, there may be version conflicts.
- The more packages with a specific version, the more likely there is to be an version conflict.
- See conda: Creating an environment with commands and Anaconda Tensorflow Documentation
- Following is my working tensorflow conda environment.
QUESTION
I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
The error message is the following:
ANSWER
Answered 2021-Dec-25 at 14:42Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.
Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.
After deleting these requirements re-deploy your app and it will work.
QUESTION
Here's what I'm running into:
...ANSWER
Answered 2021-Nov-25 at 15:31Your question is indeed interesting! I could reproduce your scenario and obtain the same output, using the pandas library for testing:
QUESTION
this is my first question on Stackoverflow. I hope my question is clear, otherwise let me know and don't hesitate to ask me more details.
I'm trying to package a streamlit app for a personal project. I'm developing under linux but I have to deploy the app on Windows. I want it to be a standalone executable, which once run opens the browser tab to display the app, and exits when the tab is closed. I would like to use pynsist library to package the app (already used for another project and it worked fine).
I followed the suggestion found in this discussion. It worked fine on ubuntu, and apparently also on Windows after packaging the app with pynsist. "Apparently" because the executable run, but no browser tab was open to display the app.
Here is some snippets of my code.
Project structure
...ANSWER
Answered 2021-Nov-25 at 09:40EDIT: a streamlit example was added to the examples of pynsist repo. There you can find a minimal and refined example of a working application (which also includes plotly).
ORIGINAL ANSWER
Finally I get it to work. In my last attempt, I made a mistake by setting --server.headless=false, while it must be true instead. I found that an additional flag to the streamlit run command is needed: --global.developmentMode=false. This make the deploy work, even if I could not find any reference to this configuration in the streamlit configurations.
Working code follows.
Project structure
QUESTION
I'm working on a web application for a disaster management lab assignment that is using the Google Places and Maps JavaScript API. The goal is to have markers on the map which are attached to an event listener which is supposed to show an information window with the data about a disaster report. However, the window is not showing up when I click on the marker. The pointer finger icon shows when I hover over a point, yet no information window appears when I click on the marker. There are zero errors in the dev console when I run it through IntelliJ and Tomcat, and I tried changing addListener to addEventListener but it still doesn't work. I will post my code below but let me know if you need anything else to help. For security reasons, I have replaced my API key with MY_API_KEY, so I guess you will have to have access to the Google API's yourself in order to help so I apologize for that. Thanks!
P.S.
When I tried creating the snippet it came up with the following error which I'm unsure where the error is coming from because there is no line 302 in the JS code:
{ "message": "Uncaught SyntaxError: Unexpected end of input", "filename": "https://stacksnippets.net/js", "lineno": 302, "colno": 5 }
Here's what the information window is supposed to look like:
...ANSWER
Answered 2021-Nov-12 at 20:12Thank you Randy for the solution! I had to modify the example from the Google Maps documentation to match what the lab wanted but I figured it out. I included the infowindow.setContent(marker['customInfo']); from my original code and changed my code to match the syntax from the documentation.
Here's the working code for the Click Listener:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tornado
You can use tornado like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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