Xterm is used when running Corda locally on one computer using gradle.
Is there a way to specify your terminal editor when running as suggested by the following issue?
https://github.com/corda/corda/issues/2605
I completely share your pain on this. The way that runnodes has its tooling baked in makes it impossible for you to customize how the cordform plugin runs the nodes without digging into the internals.
Some other ideas for you
one thing you could do would be to stop using cordform altogether and run your corda network using dockerform (example here: https://github.com/corda/samples-java/blob/master/Features/dockerform-yocordapp/build.gradle#L93) so that the plugin doesn't need to actually create new terminals.
the much harder way would be to actually download the corda gradle plugins (https://github.com/corda/corda-gradle-plugins#installing-locally) and install it locally with your edits to the cordform task so that it opens the terminal of your choice. You may be able to PR them as the cordform task that's usually used to generate the runnodes script comes from here as far as I know.
As a separate note, I saw your github issue and I was disappointed by how that got handled. I'm sorry you had that experience and I'm going to dig into that issue internally to find out what's happening with that.
feel free to reach out to me (David Awad) on slack.corda.net and I can let you know what's going on there.
Thanks as always
Related
I've been using wp-env for a while now for running local WordPress environments for development on my Mac. With the introduction of Monterey, Apple removed PHP from MacOS. There are a couple of ways I can think of to handle this situation. Many people seem to be using Homebrew and MAMP. However, I'd prefer not to have to use Homebrew, both because of past personal experience, but also because going down this path seems to create a whole other mess for how to handle PHP and Composer (see, for example, Using PHPCS with Homebrew On MacOS Monterey).
So, my thought was, maybe I can just start doing development inside of the docker container. The questions then:
how do I extend the wp-env npm module to add things by default to the docker container, without modifying the wp-env source? i.e., does docker have some sort of config I can write that will run wp-env and then add some other stuff to the image? (e.g., npm, git, eslint, etc... so that the docker container itself becomes a development environment).
as I'm actually writing this question, does it even make sense to do it this way? I've found hints that a few people are doing it this way (e.g., a commenter on Using Docker in development the right way talked about his setup where he has vim/tmux/vscode/zsh configuration and shortcuts baked in, and recommends running all services as dockers inside that volume (which he claims is a huge performance increase over host bind mount). Unfortunately, he linked to a git repo that either no longer exists or is at least no longer public.)
While I cannot assist you specifically with wp-env I would recommend using DDev https://ddev.readthedocs.io/en/stable/ As you will basically have the freedom of choosing custom PHP environments, plus it comes with pre defined configurations to use specific stacks e.g. Laravel, WordPress, Drupal, and is dead simple to use.
I understand you might like to continue with wp-env but maybe this will help you out.
My problem is that I can't use R-studio at my work place as the IT does not support it . I want to use R and R-studio that installed on my personnel laptop on my company laptop ( using a modern browser which is behind firewall ) . Some of the options I am thinking of two two things
should I need to build a docker for R and R-studio (I see base images are already available) , I am mostly interested in basic R , Dplyr (haven ,xporter, and Reticulate ) packages .
Should I have to use a binder . I am not technical person and my programming skills are very limited can any one suggest me way .
What exactly are the difference between using Docker option vs Binder ?
I know I can use R-Studio online and get my work done but with the new paid account I am running out of project hours and very slow sometimes . Thanks in advance
Here are some examples beyond the modern RStudio MyBinder example:
https://github.com/fomightez/pythonista_skewedf
https://github.com/fomightez/r_phylogenetics_worshop
https://github.com/fomightez/chapter7/tree/master/binder
The modern RStudio MyBinder example has been set as a template on GitHub so you can use
The first one is for a special use of a package not on conda. And I started that one from square one.
The other two were converted from content by others to aid in making them Binder-ready.
You essentially list everything you need from conda in the environment.yml along with the appropriate channels. If you need special stuff not on conda, you need the other configuration files included there.
Getting everything working can take some iterations on adding things, letting the image get built, and testing your libraries are available. Although you seem to think your situation is not overly complex.
The binder launch badges you see are just images where you modify the URL to point the MyBinder federation site at your repository. Look at the URL and you should see the pattern where you put studio at the end of the URL pointing at your repo. The form at MyBinder.org site can help with this; however, most often it is easier to just adapt a working launch badge's code copied from elsewhere. The form isn't set up at this time for making the URLs for launching to RStudio.
Download anything useful your create in a running session. The sessions timeout after 10 minutes, although RStudio usually keeps them active.
Lack of Persistence and limited memory, storage, & power can be drawbacks. The inherent reproducibility and portability are advantages.
MyBinder.org doesn't work with private repos. If you have code you don't want to share, you can upload it to the temporary session, using the repo for specifying the environment. You could host a private binderhub that does allow the use of private git repositories; however, that is probably overkill for your use case and exceed your ability level at this time.
GitHub isn't the only place to host repositories that can be pointed at the MyBinder system. If you go to the MyBinder.org page and click where it says 'GitHub' on the left side of the top line of the form, you can see a list of the sources at which you can host a repository and point the system to build an image and launch a container with that specified image.
Building the image from a source repository takes some minutes the first time. Once the image is built though on the service, launch is typically less than 30 seconds. Each time you make a change on the source repo, a build is necessary. Some changes don't cause the new build to be as long as the initial one as some optimizing is done to only build what is necessary after a change. Keep in mind there are several members of the federation around the workd and if traffic on the internet gets sent to where the built image isn't yet available, it will be built from scratch again first.
The Holepunch project is out there to offer some help for users working in the R ecosystem; however, with the R-Conda system that is now integrated into MyBinder it is pretty much as easy to do it the way I described. Last I knew, the Holepunch route makes a Dockerfile that isn't as easy to troubleshoot as using the current the R-Conda system route. Dockerfiles are essentially a last ditch configuration file that MyBinder can handle. The reason being the other configuration files are much easier and don't require knowing Dockerfile syntax. MyBinder aims to offer the ability to take advantage of Docker offering containers with a specified environment without users needing to know anything about Docker.
There is a Binder Help category for posting to get help at the Jupyter Discourse Forum. Some other examples of posts already there may help you troubleshoot.
Notice of a common pitfall
Most of the the configuration files for making a repository Binder-ready are simply text and can be edited right in the GitHub browser interface, without need to git or even cloning the repo locally.
Last I knew, there are two exceptions to this. The postBuild and start configuration files have settings that allow them to be run as scripts and these get altered in a way they no longer work if you edit them via the GitHub browser interface. (This was my experience when last I tried. Your mileage may vary or things may have changed now.) To edit those, you have to have git available on a system you have and pull one from some other source. Then edit that on your machine that has git working & add it your repo and push it back up from your local computer.
(If this is a problem, you can post in the Jupyter Discourse Forum Binder help category and you and I could coordinate where I fork and edit those files in your repo to your specifications and then make a pull request to update your source of the fork with those changes.)
If you are using Jupyter notebooks extensively then it may make sense to use Binder
But if you simply want to use R and Rstudio, then all you need is docker. A good resource is
https://github.com/rocker-org/rocker
I've written a code that utilizes OpenMPI for a message passing interface. However, when I run the code, it freezes everything on my computer except for my mouse and the only fix is a forced restart or a shut down.
I'm running the code from WSL and when I don't have my antivirus (Symantec Endpoint Protection) on, it will run just fine. The issue is, I need SEP to get onto the VPN I need for work.
I've tried running WSL as an admin and I'd try using other antivirus but SEP is the one I need for the VPN. Is this a common issue with MPI? Is there a way I can work around this without having to disable my firewall everytime I want to run the code?
I apologize if this is to vague and will gladly post any other information that may be useful. I'm just not sure what may be useful for right now.
You just installed a meteor package, and for some reason it isn't working. You suspect that it's the package itself that has a bug. You want to investigate that. How do you do that?
Optimally, you'd be able to run a command that forks the original package repository with the right version and replaces the original in your meteor application, ready for you to debug it and, once fixed, possibly generate a pull request.
I don't expect something like this to exist as a single command, but is there a workflow that you follow to do exactly that? Or do you approach the problem in a different way?
Do a git clone of the package into your local packages folder. Fix any bugs you need to. Commit them. And make a pull request. Once the pull request is accepted, you can remove the local package and use the regular package.
From when I've asked in the past, there isn't really an easier way to do this it seems. But to be honest, this approach isn't too much work.
Also, if you just want to debug, you can step through the package code while it's running without cloning the repo locally. (Assuming it's running in development mode and hasn't been minified by Meteor).
I need to run R with Node.js, using Rio (https://github.com/albertosantini/node-rio) as the node binding to Rserve.
I like Heroku but this seems like it is pushing the Heroku envelope beyond what it or I am competent with:
I've looked briefly into installing a custom buildpack
https://github.com/virtualstaticvoid/heroku-buildpack-r
to run simultaneously with node.js:
https://github.com/ddollar/heroku-buildpack-multi
This all seems pretty scary. Anyone got any good advice for how best to host this? My app works just fine locally.
http://prgmr.com/xen/
I currently use this solution to run my Node.js server and it's currently great.
They have wonderful support and they're uptime is 100%. I cannot recommend this any higher, but you will need to know how to set up a simple OS and run it from the ground up.
For example, if you want to run a server without having it stop when you close the SSH connection, you would use screen node script.js and press [control] + [A] + [D] keys.
You might already know this, so simply take my advice and view the website.
After some research and recommendations from Heroku, I believe the Heroku solution would be
Use https://github.com/virtualstaticvoid/heroku-buildpack-r
in combination with
https://github.com/ddollar/heroku-buildpack-multi#readme
to build a multi build pack.