I set up my Selenium project (Maven, Java, TestNG) in GitHub repo and it is connected to Jenkins. I am able to execute the Maven project via Jenkins and do the testing. This requires all dependant tools (Maven,Java,Jenkins) set up in my local machine.
But we have a requirement to do this in the cloud. I know we can use Selenium Grid-Docker, BrowserStack or GCP to execute the tests in the cloud but what we need is to have everything installed in the cloud and any external user with access being able to execute any test via UI or executable file without installing anything in user's local machine.
Is this possible at all? If yes,how?
I searched a lot and couldn't find anything. One of my friends said it can be done using AWS but doesn't know how. I just need guidance on the path to take here and I'm willing to learn and implement it myself.
Solved this my deploying code to AWS-EC2.
Here's what I did.
I created a TestNG-Maven project and uploaded to GitHub. Then created a AWS-EC2 t2.micro linux instance and installed Chrome and Jenkins in it. I accessed Jenkins from my local machine and connected it to GitHub repo. From Jenkins when I build the project everything was getting downloaded in EC2 and execution happened in EC2. This will be chrome-headless execution.
Related
I am looking for a help on GCP where I want to create a Windows VM and which will have Java and some browsers like say Chrome. Once this is done I wanted to integrate this VM to Jenkins such that whenever a automated build runs in Jenkins it will run those automated tests say Selenium on VM machine and creates the reports and so on. Is it possible via GCP. Please let me know and guide me on this and please share any tutorial for sample.
Thanks a lot.
I don't think any of the images provided by GCP have that software installed, I mean you need to install manually or you can use startup-script to automate some of this task,
this is a quick information to get you started:
Create Windows Instance
Install java or JDK
Install chrome
Install jenkins
Automate the task with jenkins and windows
As alternative you can deploy from Marketplace, find the Jenkis which is installed on a Windows VM and then install the other components(chrome & java)
considers that some marketplace solutions has an additional cost
I am stuck in a technical issue on a project and I think you the forum could help me out.
I have an EC2 Instance Type:p2.xlarge running on AWS, I cloned a repository in this instance which requires pytorch and cuda dependencies(this point has been taken care of).
Now, The issue is that I wanna work & run this code-base(which is is AWS instance now) somehow in my local pyCHARM IDE. In short, I didn't have proper resources on my laptop to run the repository, so I have to run in an AWS instance but for debugging purposes the local IDE would be a great option.
Is it possible to do that?. In other words, we can do SSH into AWS instance and run code, but all will be done through command line, if we could SSH through PYCHARM and can see the code in AWS here in local machine within PYCHARM and change, debug or run it as it was local but actually it gets executed in the instance.
Please suggest a solution to it.
Thanks in advance.
EDIT-1:
After following, #Cromulent suggestion, I have arrived here
Setting the remote:
Upload happening within the local & remote repo.
I still didn't understand the requirement of syncing the local and remote folders, when I only want to open the remote folder in my PYCHARM IDE and work on it.
I think after this setup, I have to change the code in local copy and the PYCHARM will sync the code in remote copy. How will I be running(using resources-GPUs of the remote Instance, not my local machine.) the remote code in PYCHARM in this scenario, I am just syncing it, for running again I have to ssh through command line and run the script(This does not serve the purpose)?
EDIT-2:
After #Cromulent suggestions.
Actually, it did work, but still, I am not able to run the remote code locally.
I am getting the below error while running any remote script. If I run the same script using ssh in the terminal, the scripts run normally. I tried to fix the problem using this post on StackOverflow, but it didn't work too.
ssh://ubuntu#ec2-52-41-247-169.us-west-2.compute.amazonaws.com:22/home/ubuntu/anaconda3/bin/python -u <08ad9807-3477-4916-96ce-ba6155e3ff4c>/home/ubuntu/InsightProject/scripts/download_flownet2.py
/home/ubuntu/anaconda3/bin/python: can't open file '<08ad9807-3477-4916-96ce-ba6155e3ff4c>/home/ubuntu/InsightProject/scripts/download_flownet2.py': [Errno 2] No such file or directory
The below is the screenshot for the above problem:
PyCharm Professional supports remote Python interpreters (either the globally installed Python interpreter or a virtualenv). It works by creating an SSH connection to the server and then running the code on the remote host. The results are then displayed locally in PyCharm Professional. You can also do remote debugging as well.
You MUST be using the professional version of PyCharm though. The free community version does not support this feature.
You can find the documentation here:
https://www.jetbrains.com/help/pycharm/configuring-remote-interpreters-via-ssh.html
One more solution is to deploy a Jupyter Notebook on your remote server. Then you will be able to use it from PyCharm Professional Edition.
Don't forget to make rules for the jupyter ports (e.g. allow all 8888) in your AWS console and in your instance.
To configure a remote interpreter for your notebook do this (source):
Open the Jupyter Notebook page of the Settings/Preferences dialog.
On this page, select or clear the Markdown cells rendering enabled option, and specify the username and password. Note that for the
single-user notebooks these fields are optional - leave them blank.
Fill in the username (for JupyterHub) and password.
Click the link Configure remote interpreter. You'll find yourself at the Project Interpreter page.
Configure the remote interpreter, as described in the section Configuring Python Interpreter.
You will want to configure a remote interpreter.
I tried the above approach but it didn't work for me. I have edited my post so that I can get additional input from the community, but I didn't any after the first answer was posted.
My friend actually figured out a secondary way to fix the issue. He actually uses "NOMACHINE" on the local machine and open connection to the remote desktop. Then you can directly install PYCHARM in the remote machine and work in there. I hope this will help others.
The solution is in his blog post. (Thanks to Shaobo Guan)
Another solution would be to use VNC instead of NoMachine
I am struggling about how to upload my Cloud Code files that i had on Parse.com to my Parse Server hosted on AWS EB.
So far i have:
Parse Server hosted on AWS EB. To host it on AWS i used the Orange Deploy Button which basically makes all stuff easier for people without having to install the Parse Server locally and upload it later to AWS.
iOS App written in objective C connected to the Parse server and working perfectly
Parse Dashboard locally on my mac connected to the Parse Server on AWS
The only thing that i would need is to upload all my cloud code files to the Parse Server. How could i do this? I have researched a lot over Google, stackoverflow, etc without success. There is some information but its unclear. Thanks in advance.
Finally and thanks to Ran Hassid i now have a Fully functional Parse Server on AWS with Cloud Code. For those who are in the same situation where i was, here is the answer to my question:
Go to this link here and follow all the steps (By the time i asked the question, the information provided by this link of AWS wasn't that clear as it is now. They improved the explanations and the info.)
After you finish all the previous steps from the link. You would have a Parse Server on AWS working.
Now the part of CLOUD CODE. Just create a folder in your MAC or PC wherever you like. Let's say on the desktop and called it Parse Server AWS (You can call it whatever you want)
Install the EB CLI which is the Command line interface to user Terminal (On Mac) or the equivalent on windows to work with the parse server you just set up on AWS (Similar to CloudCode with Parse CLI). The easy way to install it is running this command:
brew install awsebcli
Now open terminal on mac (or the equivalent on windows) and go to the folder that you just created on the step 3.
Run the next command. It will ask you to select the location of your parse server, and then the name.
eb init
Now this command. It will download all the files from AWS of your parse server to this folder you are in.
eb labs download
Finally, you will have a folder called Cloud where you can put all your cloud code files in.
When you finish just run the command:
eb deploy
Now you have your parse server with all your cloud code files working on AWS.
Now any change you need to make to your cloudCode files, just change the local files inside this folder just created on step 3 and run again the command from the step 9. Just exactly as you used to do with Parse Deploy command
Hopefully this information will help many people as it helped to me.
Have a happy coding!
parse-server cloud code is a bit different from Parse.com cloud code. In Parse.com we use the Parse CLI in order to modify and deploy our cloud code (parse deploy ...) in parse-server your cloud code exist under the following path of your parse project ./cloud/main.js* so your cloud code endpoint is the main.js file which by default located under the **cloud folder of your parse project. If you really want you can change this path but to keep it simple use the default location.
Now about deployment. in parse-server you need to redeploy your parse server again when you do some modification to your cloud code. Another option is to edit your cloud code remotely but from my POV its better to redeploy it
I have a lab system (with a hardware piece attached to it) which has some python test scripts. The test script sends commands to the attached hardware and receives response.
I don't want to work on the lab computer all the time. Currently, I'm using SSH from my local machine to the lab computer and using the shell to modify the scripts, run the commands etc. Using nano is cumbersome especially while debugging. I want to use an IDE (Pycharm) on my local machine in order to edit and run the scripts on the remote server. Pycharm has remote interpreters which uses the remote python but I want to be able to access and modify the scripts too, just like SSH from terminal.
How can I do that?
PyCharm (Professional Edition only) is also capable of Deployments. You can upload/download files via SFTP directly within Pycharm and run your scripts remotely.
You can visit the following pages for further instructions on how to set everything up:
Setting up a deployment
Configuring a remote interpreter
Yes, PyCharm Professional Edition can do this. Since PyCharm 2018.1 setting up a remote interpreter also automatically sets up deployment. If you have automatic deployments configured (Tools | Deployment | Automatic Deployment) all changes will automatically be uploaded to your SSH box.
See here for a tutorial on configuring an SSH box in PyCharm Professional Edition: https://blog.jetbrains.com/pycharm/2018/04/running-flask-with-an-ssh-remote-python-interpreter/
I want to configure the cloudfoundry environment correctly and test some small application. If any one know, please help me to configure this environment correctly and let me know any use full reference document is available for this, thanks a lot.
I have registered with cloudfoundry and got downloaded following stuffs:
1) micro-1.2.0.zip
2) VMware-Player-4.0.2-591240.x86_64.bundle
3) springsource-tool-suite-2.9.1.RELEASE-e3.7.2-linux-gtk-x86_64.tar.gz
You have everything you need. In short you will need to:
Install Ruby and then VMC or STS plugin for CF
Install VMWare player and run the micro instance within it. Basically you will open the *.vmx file in micro through VMWare player. Your machine has to support and enable virtualization for this
Do necessary configurations and validate your CF with token received online when you created account and domain
open vmc and change target to point to local CF use command "vmc target CFM_ADDRESS"
Deploy and test your application
You can follow this tutorial if it helps you: http://cloudspring.com/get-in-the-cloud-with-cloudfoundry/