jupyter_http_over_ws | Jupyter server extension allows running Jupyter notebooks | Proxy library

 by   googlecolab Python Version: Current License: Apache-2.0

kandi X-RAY | jupyter_http_over_ws Summary

kandi X-RAY | jupyter_http_over_ws Summary

jupyter_http_over_ws is a Python library typically used in Networking, Proxy applications. jupyter_http_over_ws has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install jupyter_http_over_ws' or download it from GitHub, PyPI.

This Jupyter server extension allows running Jupyter notebooks that use a WebSocket to proxy HTTP traffic. Browsers do not allow cross-domain communication to localhost via HTTP, but do support cross-domain communication to localhost via WebSocket.
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            kandi-support Support

              jupyter_http_over_ws has a low active ecosystem.
              It has 172 star(s) with 32 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 18 open issues and 7 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of jupyter_http_over_ws is current.

            kandi-Quality Quality

              jupyter_http_over_ws has 0 bugs and 0 code smells.

            kandi-Security Security

              jupyter_http_over_ws has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jupyter_http_over_ws code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              jupyter_http_over_ws is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              jupyter_http_over_ws releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 1134 lines of code, 119 functions and 4 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed jupyter_http_over_ws and discovered the below as its top functions. This is intended to give you an instant insight into jupyter_http_over_ws implemented functionality, and help decide if they suit your requirements.
            • Called when a message is received
            • Write error message
            • Perform a GET request and extract cookies
            • Validate a cross - domain request
            • Mark this message as done
            • Handle an error
            • Generate a metadata response body
            • Attach cookies to the request
            • Return the XSRF cookie
            • Handle a message received from the proxy
            • Return a future to retrieve the websocket connection
            • Handle unhandled exceptions
            • Returns a streaming response
            • Open connection to the server
            • Handle a message received from the server
            • Loads the jupyter server extension
            • Called when the server closes
            Get all kandi verified functions for this library.

            jupyter_http_over_ws Key Features

            No Key Features are available at this moment for jupyter_http_over_ws.

            jupyter_http_over_ws Examples and Code Snippets

            No Code Snippets are available at this moment for jupyter_http_over_ws.

            Community Discussions

            QUESTION

            Don't start JupyterLab if configuration is invalid
            Asked 2022-Feb-04 at 00:48

            When JupyterLab tries to start, in some occasions, the config file may be invalid, and Jupyterlab starts regardless in default port 8888.

            Currently I have a JupyterLab service defined as follows, but I also try to start it manually and got the same results. An example when config file may be invalid is when a library is not available to be imported. I want to prevent Jupyter to start and fail gracefully.

            ...

            ANSWER

            Answered 2022-Feb-04 at 00:48

            You can enforce failure on configuration errors by configuring environment variable TRAITLETS_APPLICATION_RAISE_CONFIG_FILE_ERROR to 1 or true (see docs); on Linux this can be done by prepending the startup command like so:

            Source https://stackoverflow.com/questions/70952321

            QUESTION

            problems using local jupyter with google colab
            Asked 2021-Jan-21 at 18:52

            I am using jupyter notebook with google colab, on Ubuntu 20.04LTS with Python 3.8.5.

            Problems I face are:

            1. connection drops suddenly. I mean, to say, colab never executes a cell, instead it just keeps waiting. By waiting, I mean, the cell I run always looks like this and never turns into this: . But, colab does say that I am connected to an instance: .
            2. everytime I write something and wait for autocomplete to show suggestions, I receive a TypeError that says, there was unexpected keyword argument 'column'. Here's the complete error message right from the launch of jupyter:
            ...

            ANSWER

            Answered 2021-Jan-21 at 18:52

            The second issue is caused by your jedi version. You can fix it with:

            Source https://stackoverflow.com/questions/65747436

            QUESTION

            Connect Google colab to a runtime on a Google Compute Engine instance
            Asked 2020-May-20 at 12:21

            I am trying to connect a jupyter notebook on Google colab to a runtime on GCP EC2 instance. I followed this colab doc instructions Link

            Steps taken:

            • Set up a Jupyter server on my local

            pip install jupyter_http_over_ws && jupyter serverextension enable --py jupyter_http_over_ws

            jupyter notebook \ --NotebookApp.allow_origin='https://colab.research.google.com' \ --port=8888 \ --NotebookApp.port_retries=0

            • Create and start a EC2 instance on GCP
            • SSH into EC2 instance and forward local port using:

            gcloud beta compute ssh --zone "europe-west2-c" "" --project "" -- -L 8888:localhost:8888

            Error Message from trying to forward the port:

            ...

            ANSWER

            Answered 2020-May-20 at 12:21

            I figured it out.

            Steps:

            • Start instance
            • Connect to instance and forward port on remote instance to local machine

            gcloud beta compute ssh --zone "" "" --project "" -- -L 8888:localhost:8888

            • Install jupyter notebook and jupyter_http_over_ws if you dont have it install on the remote instance already.

            • Then enable jupyter_http_over_ws

            jupyter serverextension enable --py jupyter_http_over_ws

            • Start Jupyter server on remote instance

            jupyter notebook \ --NotebookApp.allow_origin='https://colab.research.google.com' \ --port=8888 \ --NotebookApp.port_retries=0

            • Copy server url to colab

            Source https://stackoverflow.com/questions/61900698

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install jupyter_http_over_ws

            Run the following commands in a shell:.

            Support

            If you have a problem, or see something that could be improved, please file an issue. However, we don't have the bandwidth to support review of external contributions, and we don't want user PRs to languish, so we aren't accepting any external contributions right now.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/googlecolab/jupyter_http_over_ws.git

          • CLI

            gh repo clone googlecolab/jupyter_http_over_ws

          • sshUrl

            git@github.com:googlecolab/jupyter_http_over_ws.git

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