I am currently learning to use docker to run selenium tests.
However, to run tests on different versions of the browser, it requires creating our own image.
I tried few ways but failed to run them.
I used the docker file at below path:
https://hub.docker.com/r/selenium/node-chrome/~/dockerfile/
and tried to build the image by using the following command:
docker build -t my-chrome-image --build-arg CHROME_DRIVER_VERSION=2.23 --build-arg CHROME_VERSION=google-chrome-beta=53.0.2785.92-1 NodeChrome
Can anyone guide me on how to implement the same?
Regards,
Ashwin Karangutkar
Use
docker build -t my-chrome-image --build-arg CHROME_DRIVER_VERSION=2.23 --build-arg CHROME_VERSION=google-chrome-beta <path_to_Dockerfile>
I am using elgalu/selenium.
docker run -d --name=grid -p 4444:24444 -p 5900:25900 --shm-size=1g elgalu/selenium
And looking in elgalu looks like you can change the browser versions.
Adding -e FIREFOX_VERSION=38.0.6 to the docker run command.
Related
I've registered a GitLab Runner with shell executor installed on Ubuntu 18.04, and also set up a docker container with the command below
docker run -it --gpus '"device=0"' --net=host -v /home/autotest/Desktop/ai_platform:/app --name=ai_platform_system nvcr.io/nvidia/pytorch:20.10-py3 "bash"
Then I tried to execute the following command from the gitlab-ci.yml in Gitlab CI, but I got an error "The input device is not a TTY".
docker attach ai_platform_system
Any clues for this issue except using docker exec? I know docker exec works in Gitlab CI environment but it will create a new session in the container which is not desirable for me. Thanks!
According to this answer (for Jenkins but the same problem) you need to remove the -it flag and the tty.
docker run -T --gpus '"device=0"' --net=host -v /home/autotest/Desktop/ai_platform:/app --name=ai_platform_system nvcr.io/nvidia/pytorch:20.10-py3 "bash"
I have a linux server, with no connectivity to github (it's blocked in our office), and need to run standalone-chrome-debug docker image.
So in my side, i clone the repo and transfer it to the linux machine, but when i run the docker command:
docker run -d -p 4444:4444 -p 0:5900 -v /dev/shm:/dev/shm -e VNC_NO_PASSWORD=1 selenium/standalone-chrome-debug
i got a lot of error, such as entry_point.sh not found, and different similar issues of missing files, so my question is:
how can i make this docker run successfully , if i have the repository locally, and have no access to github, can you assist me with this issue ?
Struggling to understand the workflow here for tf serving.
Official docs say to “docker pull tensorflow/serving”. But they also say to “git clone https://github.com/tensorflow/serving.git”
Which one should I use? I assume the git version is so I can build my own custom serving image?
When I pull the official image from docker and run the container, why can’t I access the root? Is it because I haven’t “built it” properly yet?
If you have added some custom code, then clone first and then build image.
If you want to deploy image directly, pull image and run.
BTW, what do you mean by "access the root"? AFAIC, root is the default user in a container.
I think that is a good observation.
Only place where I feel cloning Git hub repository using "https://github.com/tensorflow/serving.git" is required if you want to run the examples like 'half_plus_two', 'half_plus_three' or if you want to run the Examples mentioned in the link,
https://github.com/tensorflow/serving/tree/master/tensorflow_serving/example.
Except that, as far as I know, pulling the Docker Image should do everything needed.
Even building the Custom Docker Image using our Custom Model doesn't need us to clone the Git hub repo.
Code for building Custom Docker Image is shown below:
sudo docker run -d --name sb tensorflow/serving
sudo docker cp /usr/local/google/home/abc/Jupyter_Notebooks/Premade_Estimator_Export sb:/models/Premade_Estimator_Export
sudo docker commit --change "ENV MODEL_NAME Premade_Estimator_Export" sb iris_container
sudo docker kill sb
sudo docker pull tensorflow/serving
sudo docker run -p 8501:8501 --mount type=bind,source=/usr/local/google/home/abc/Jupyter_Notebooks/TF_Serving/Premade_Estimator_Export,target=/models/Premade_Estimator_Export -e MODEL_NAME=Premade_Estimator_Export -t tensorflow/serving &
saved_model_cli show --dir /usr/local/google/home/abc/Jupyter_Notebooks/Premade_Estimator_Export/1556272508 --all
curl http://localhost:8501/v1/models/Premade_Estimator_Export #To get the status of the model
Regarding access to Root, if I understand it correctly, you don't want to run the docker commands using Sudo at the start for each command. Please follow the below mentioned command to get access to Root.
i. Add docker group if it does not already exist
ii. Add the connected user $USER to the docker group. Below are the commands to be run in the Terminal:
sudo groupadd docker
sudo usermod -aG docker $USER
iii. Reboot your PC and you should be able to execute Docker commands without sudo.
I am trying to create a docker file to run selenium tests for a java script based project. Below is my docker file so far:
#base image
FROM selenium/standalone-chrome
#access to the project within docker container - Bundle app source
COPY ./seleniumTest/project /app
# Install Node.js
RUN sudo apt-get update
RUN sudo apt-get install --yes curl
RUN curl --silent --location https://deb.nodesource.com/setup_8.x | sudo bash -
#binding
EXPOSE 8080
#Define runtime
ENTRYPOINT /app/login.test.js
while running with $ docker run -p 4000:80 lamgadekamal/dockertest
returns: Unable to find image 'lamkam/dockertest:latest' locally docker: Error response from daemon: manifest for lamkam/dockertest:latest not found. Could not figure out why am I getting this?
I suspect that you need to build your image first, since the image cannot be found.
Run this command from the same directory where your Dockerfile is located. This will build the image.
docker build -t lamgadekamal/dockertest .
You can then verify that the image exists by running docker images
EDIT: After looking at this again, it appears that you are trying to run the wrong image. You are trying to run lamgadekamal/dockertest, but you built the image with the tag lamkam/dockertest? Seems like you have a typo. I would suggest running docker images to see exactly what is there, but in all likelihood, you need to run lamkam/dockertest.
docker run -p 4000:80 lamkam/dockertest
I am making a test file. I need to have a docker image and run it like this:
docker run www.google.com
Everytime that url changes, I need to pass it into a file inside the docker. Is that possible?
Sure. You need a custom docker image but this is definitely possible.
Let's say you want to execute the command "ping -c 3" and pass it the parameter you send in the command line.
You can build a custom image with the following Dockerfile:
FROM alpine:latest
COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
ENTRYPOINT /entrypoint.sh
The entrypoint.sh file contains the following:
#!/bin/sh
ping -c 3 "$WEBSITE"
Then, you have to build you image by running:
docker build -t pinger .
Now, you can run your image with this command:
docker run --rm -e WEBSITE=www.google.com pinger
By changing the value of the WEBSITE env variable in the latest step you can get what you requested.
I just solved it by adding this:
--env="url=test"
to the docker run, but I guess your way of doing it, is better.
Thank you