I'm working on a brand new Rails 5 app, and I can't launch Capybara-Webkit. I'm following these indications.
My development process includes Docker-Compose, then CircleCI for building the Docker image and sending it to Google Cloud Registry.
The $ bundle install is fine, the $ docker build is done, but I can't even launch a spec locally with Webkit.
When I launch this command, it hangs out and freeze:
$ docker-compose run web xvfb-run -a bundle exec rspec
I can't find any many informations about the xvfb-run command, I'm assuming it's a launcher packaged in xvfb...
Here is my Dockerfile:
FROM ruby:2.4.1
RUN apt-get update -qq && apt-get install -y \
build-essential \
libpq-dev \
nodejs \
xvfb \
qt5-default \
libqt5webkit5-dev \
gstreamer1.0-plugins-base \
gstreamer1.0-tools \
gstreamer1.0-x
RUN mkdir /app_dir
WORKDIR /app_dir
ADD Gemfile* /app_dir/
RUN bundle install
COPY . .
Edit 07/08/2017
I think I got misleaded by my dev environment. When I try to launch my spec with guard instead of directly with the rspec, I get another error:
Capybara::Webkit::ConnectionError:
/usr/local/bundle/gems/capybara-webkit-1.14.0/bin/webkit_server failed to start.
This doesnt help me much. This Github issue makes me believe that I need to do something with xvfb.
I tried to launch webkit_server directly from the gem bin folder, and I got the following error:
QXcbConnection: Could not connect to display
Aborted
Edit #2 07/08/2017
I found a way to launch my test suite. If I first launch a bash terminal in my docker compose system, I can then use xvfb without problem.
$ docker-compose run web bash
then
$ xvfb-run -a bundle exec rspec spec
And everything work as expected. The initial problem remains: when I launch this command:
$ docker-compose run web xvfb-run -a bundle exec rspec
It stay on hold and never launch any spec. I'm looking into docker-compose configuration, I must have missed something.
Weird stuff: when I launch my specs via guard it's working... I have no idea why.
Edit #3 08/08/2017
I ended up writing an issue in Capybara-Webkit repo.
Related
I want to run vscode in docker for internal test, i've created the following
FROM debian:stable
RUN apt-get update && apt-get install -y apt-transport-https curl gpg
RUN curl https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > microsoft.gpg \
&& install -o root -g root -m 644 microsoft.gpg /etc/apt/trusted.gpg.d/ \
&& echo "deb [arch=amd64] https://packages.microsoft.com/repos/vscode stable main" > /etc/apt/sources.list.d/vscode.list
RUN apt-get update && apt-get install -y code libx11-xcb-dev libasound2
RUN code --user-data-dir="~/.vscode-root"
I use to build
docker build -t vscode .
I use to run
docker run vscode code -v
when I run it like this I got error
You are trying to start vscode as a super user which is not recommended. If you really want to, you must specify an alternate user data directory using the --user-data-dir argument.
I just want to verify it by running something like RUN code -v how can I do it ?
should I change the user ? I just want to run vscode in docker and use some vscode apis
Have you tried using VSCode's built in functionality for developing in a container?
Checkout this page which describes how to do this:
Developing inside a Container
You can try out some of the sample container configurations provided by VSCode and use any of those devcontainer.json files as an example to configure a custom development container to your liking. According to the page above:
Workspace files are mounted from the local file system or copied or cloned into the container. Extensions are installed and run inside the container, where they have full access to the tools, platform, and file system. This means that you can seamlessly switch your entire development environment just by connecting to a different container.
This is a very handy way to have different environments for development that are isolated within the container.
I'm trying to build a docker image that uses nvidia hardware decoding in gstreamer and have encountered a strange problem with making the image.
The build process does not find the nvidia cuda related stuff while running docker build (or nvidia-docker build), but when I spin up the failed image as a container and do those very same steps from within the container everything works. I even saved the container as image which gave me a persistent image that works as intended.
Has anyone experienced similar problem and can shed some light on it?
Dockerfile:
FROM nvcr.io/nvidia/deepstream:3.0-18.11 AS base
ENV DEBIAN_FRONTEND noninteractive
#install some dependencies. NOTE - not removing apt cache for the MWE
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
libdc1394-22 \
tmux \
vim \
libjpeg-dev \
libpng-dev \
libpng12-dev \
cuda-toolkit-10-0 \
python3-setuptools \
python3-pip ninja-build pkg-config gobject-introspection gnome-devel bison flex libgirepository1.0-dev liborc-0.4-dev
RUN pip3 install meson && ldconfig
FROM base
#pull and make gstreamer:
RUN cd /tmp && mkdir gstreamer
RUN git clone https://github.com/GStreamer/gst-build.git /tmp/gstreamer \
&& cd /tmp/gstreamer \
&& git checkout tags/1.16.0 \
&& ./setup.py -Dgtk_doc=disabled -Dgst-plugins-bad:nvdec=enabled -Dgst-plugins-bad:nvenc=enabled -Dgst-plugins-bad:iqa=disabled -Dgst-plugins-bad:bluez=disabled --reconfigure \
&& ninja -C build \
&& ninja install -C build
Testing:
build and run the container. Inside the container:
$ gst-inspect-1.0 nvdec
No such element or plugin 'nvdec'
$ cd /tmp/gstreamer
$ ./setup.py -Dgtk_doc=disabled -Dgst-plugins-bad:nvdec=enabled -Dgst-plugins-bad:nvenc=enabled -Dgst-plugins-bad:iqa=disabled -Dgst-plugins-bad:bluez=disabled --reconfigure
$ ninja -C build
$ ninja install -C build
$ gst-inspect-1.0 nvdec
Factory Details:
Rank primary (256)
[... all plugin parameters show up]
GObject
+----GInitiallyUnowned
+----GstObject
+----GstElement
+----GstVideoDecoder
+----GstNvDec
EDIT1
The image builds with no errors, only when I try to call gstreamer it is built with no acceleration. I noticed that in the build process the major difference is
meson.build:109:2: Exception: Problem encountered: The nvdec plugin was enabled explicitly, but required CUDA dependencies were not found.
which does not happen when building from within the container.
Lack of error is related, most likely, to the ninja+meson build system which looks for compatible packages, reports the exception, but doesn't throw it and continues as if nothing wrong happened
EDIT2
Answering comment:
To build it and get the error, just build the attached docker image:
sudo docker build -t gst16:latest . > build.log
This will dump all the output into the build.log file.
I don't have a docker registry that I could use for this and the docker image gets quite big by docker standards (~8 Gigs), but to produce successfully, it's fairly simple:
sudo docker run --runtime="nvidia" -ti gst16:latest /bin/bash
or
sudo nvidia-docker run -ti gst16:latest /bin/bash
which seems to work the same for me. Notice no --rm flag! From within the container:
#check if nvidia decoder plugin is there:
gst-inspect-1.0 nvdec
#fail!
#now build it from within:
cd /opt/gstreamer
./setup.py -Dgtk_doc=disabled -Dgst-plugins-bad:nvdec=enabled -Dgst-plugins-bad:nvenc=enabled -Dgst-plugins-bad:iqa=disabled -Dgst-plugins-bad:bluez=disabled --reconfigure
ninja -C build
ninja install -C build
gst-inspect-1.0 nvdec
#success reported
Now to get the image, exit the container (ctrl+d) and in the host shell:
sudo docker container ls -a to view all containers including stopped ones
from gst16:latest get the CONTAINER_ID and copy it
sudo docker commit <CONTAINER_ID> gst16:manual and after a few seconds you should have the container saved as an image. Verify with sudo docker images
run the new image with sudo docker run --runtime=`nvidia` --rm -ti gst16:manual /bin/bash
from within the container try again the gst-inspect-1.0 nvdec to verify it's working
EDIT3
$ nvidia-docker --version
Docker version 18.09.0, build 4d60db4
I think I found the solution/reason
Writing it here in case someone finds themselves in similar situation, plus I hate finding old threads with similar problem and no answer or "nevermind, I solved it" as the only follow up
Docker build does not have any ties to nvidia runtime and gstreamer requires access to the full nvidia toolchain in order to build the plugins that need it. This is to be resolved with gstreamer 1.18 but until then, there is no way to build gstreamer with nvidia codecs in docker build.
The workaround:
Build image with all dependencies.
Run a container of said image using runtime="nvidia" but don't use --rm flag
In the container, build gstreamer and install it as normally.
Verify with gst-inspect-1.0
Commit the container as new image: docker commit <container_name> <temporary_image_name>
Tag the temporary image properly.
I am trying to set up a Docker image (my Dockerfile is available here, sorry for the french README: https://framagit.org/Gwendal/firefox-icedtea-docker) with an old version of Firefox and an old version of Java to run an old Java applet to start a VPN. My image does work and successfully allows me to start the Java applet in Firefox.
Unfortunately, the said applet then tries to run the following command in the container (I've simply removed the --config part from the command as it does not matter here):
INFO: launching '/usr/bin/pkexec sh -c /usr/sbin/openvpn --config ...'
Then the applet exits silently with an error. While investigating, I've tried running a command with pkexec with the same Docker image, and it gives me this result:
$ sudo docker-compose run firefox pkexec /firefox/firefox-sdk/bin/firefox-bin -new-instance
**
ERROR:pkexec.c:719:main: assertion failed: (polkit_unix_process_get_start_time (POLKIT_UNIX_PROCESS (subject)) > 0)
But I don't know polkit at all and cannot understand this error.
EDIT: A more minimal way to reproduce the problem is with this Dockerfile:
FROM ubuntu:16.04
RUN apt-get update \
&& apt-get install -y policykit-1
And then run:
$ sudo docker build -t pkexec-test .
$ sudo docker run pkexec-test pkexec echo Hello
Which leads here again to:
ERROR:pkexec.c:719:main: assertion failed: (polkit_unix_process_get_start_time (POLKIT_UNIX_PROCESS (subject)) > 0)
Should I conclude that pkexec cannot work in a docker container? Or is there any way to make this command work?
Sidenote: I have no control whatsoever on the Java applet that I try to run, it is a horrible and very dated proprietary black box that I am supposed to use at work, for which I have no access to the source code, and that I must use as is.
I have solved my own problem by replacing pkexec by sudo in the docker image, and by allowing passwordless sudo.
Given an ubuntu docker image where a user called developer was created and configured with a USER statement, add these lines:
# Install sudo and make 'developer' a passwordless sudoer
RUN apt-get install sudo
ADD ./developersudo /etc/sudoers.d/developersudo
# Replacing pkexec by sudo
RUN rm /usr/bin/pkexec
RUN ln -s /usr/bin/sudo /usr/bin/pkexec
with the file developersudo containing:
developer ALL=(ALL) NOPASSWD:ALL
This replaces any call to pkexec made in a process running in the container, by a call to sudo without any password prompt, which works nicely.
For my one project I use greenlight
first, I installed greenlight on the server but I want to customize the landing page but I don't how to do it. so I installed rails application in my server, I did some changes like adding a custom class. but no effect on the landing page.
can someone explain me how can I fully customize greenlight directly on the server ?
Its for Greenlight V1.
After searching bit i found below steps to setup ruby on rails greenlight app on server.
If you already setup greenlight with docker then please stop docker.
for docker compose you need to run command docker-compose down. it will stop docker image and you will see 404 on your server .
You need to fork greenlight from github first then clone that project in server you can clone it anywhere on server just make sure your server is running on port 5000.
you can checkout more from here
This are all the commands I used to have greenlight running without docker which works for me
======================
apt-get install curl
sudo apt-get install gnupg2
curl -sSL https://rvm.io/mpapis.asc | sudo gpg2 --import -
sudo gpg2 --keyserver hkp://pool.sks-keyservers.net --recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3 7D2BAF1CF37B13E2069D6956105BD0E739499BDB
curl -sSL https://get.rvm.io | sudo bash -s stable
source /etc/profile.d/rvm.sh
rvm requirements
rvm list known
rvm install 2.5.1
rvm use 2.5.1 --default
ruby --version
gem install rails
cd /
git clone https://github.com/bigbluebutton/greenlight.git
cd /greenlight
nano Gemfile
(mover dotenv-rails fuera del bloque test/development)
gem install bundler -v 1.16.1
sudo apt-get install libpq-dev
bundle
cp greenlight.nginx /etc/bigbluebutton/nginx/greenlight.nginx
systemctl restart nginx
rake secret
(Copy the secret generated, you will need it for .env)
bbb-conf --secret
(Copy the URL and Secret, you will need it for .env)
cp sample.env .env
nano .env
(fill the Secret and BigBlueButton credentials you generated before)
RAILS_ENV=production rake db:migrate
rails assets:precompile
rails s -p 5000 -e production
=======================================
In this project do changes as you require and run server again.
first of all you must have installed greenlight installed on server
for changing the color of theme :
vim config/application.rb
scroll down and you will found following code just replace code of color with your desire:
# Default primary color if the user does not specify one
config.primary_color_default = "#116ceb"
# Default primary color lighten if the user does not specify one
config.primary_color_lighten_default = "#e8eff9"
# Default primary color darken if the user does not specify one.
config.primary_color_darken_default = "#316cbe"
there is lots of things you can customize..(almost everything).
And one of the most important thing after making changes to any file you must have to rebuild your image of docker you can do that by running the command which is given at the end.
This command is for default settings if you have changed the name of your image please replace bigbluebutton/greenlight release-v2 with yourimage name.
you will find your image name here:
#this will open the yml file for docker settings
vim docker-compose.yml
#file will look like this:
ersion: '3'
services:
app:
entrypoint: [bin/start]
image: bigbluebutton/greenlight:release-v2 #nmae of your image
container_name: greenlight-v2
env_file: .env
restart: unless-stopped
ports:
- 127.0.0.1:5000:80
copy this command and past into the terminal blow command for rebuilding your docker image
docker-compose down && ./scripts/image_build.sh bigbluebutton/greenlight release-v2 && docker-compose up -d
Edit: Solved- typo
I have a Dockerfile that successfully creates a virtualenv using virtualenvwrapper (along with setting up a heap of "standard" settings/packages in our normal environment). I am using the resulting image as a "base image" for further use. All good so far. However, the following Dockerfile (based of the first image, "base_image_14.04") falls down at the last line:
FROM base_image_14.04
USER root
RUN DEBIAN_FRONTEND=noninteractive \
apt-get update && apt-get install -y \
libproj0 libproj-dev \
libgeos-c1v5 libgeos-dev \
libjpeg62 libjpeg-dev \
zlib1g zlib1g-dev \
libfreetype6 libfreetype6-dev \
libgdal20 libgdal-dev \
&& rm -rf /var/lib/apt/lists
USER webdev
RUN ["/bin/bash", "-ic", "mkproject maproxy"]
EXPOSE 80
WORKDIR $PROJECT_HOME/mapproxy
ADD ./requirements.txt .
RUN ["/bin/bash", "-ic", "workon mapproxy && pip install -r requirements.txt"]
The "mkproject mapproxy" works fine. If I comment out the last line it builds successfully and I can spin up the container and run "workon mapproxy" manually, not a problem. But when I try and build with the last line, it gives a workon error:
ERROR: Environment 'mapproxy' does not exist. Create it with 'mkvirtualenv mapproxy'.
workon is being called, but for some reason it can't find the mapproxy virtualenv.
WORKON_HOME & PROJECT_HOME both exist (defined in the parent image) and point to the correct locations (and are used successfully by "mkproject mapproxy").
So why is workon returning an error when the mapproxy virtualenv exists? The same error happens when I isolate that last line into a third Dockerfile building on the second.
Solved: It was a simple typo. mkproject maproxy instead of mapproxy. :sigh:
I am trying to build a docker image and am running into similar problems.
First question was why use a virtual env in docker? The main reason in a nutshell is to minimize effort to migrate an existing and working approach into a docker container. I will eventually use docker-compose, but I wanted to start by getting my feet wet with it all in a single docker container.
In my first attempt I installed almost everything with apt-get, including uwsgi. I installed my app "globally" with pip3. The app has command line functionality and a separate flask web app, hence the need for uwsgi. The command line functionality works, but when I make a request of the flask app uwsgi / python has a problem with locale: Fatal Python error: Py_Initialize: Unable to get the locale encoding and ImportError: No module named 'encodings
I have stripped away all my app specific additions to narrow down the problem. This is the Dockerfile I'm using:
# Docker image definition for testing
FROM ubuntu:xenial
# Create a user
RUN useradd -G sudo -ms /bin/bash tester
RUN echo 'tester:password' | chpasswd
WORKDIR /home/tester
# Skipping apt-get update to save some build time. Some are kept
# to insure they are the same as on host setup.
RUN apt-get install -y python3 python3-dev python3-pip \
virtualenv virtualenvwrapper sudo nano && \
apt-get clean -qy
# After above, can we use those installed in rest of Dockerfile?
# Yes, but not always, such as with virtualenvwrapper. What about
# virtualenv? How do you "source" the script? Doesn't appear to be
# installed, as bash complains "source needs a single parameter"
ENV VIRTUALENVWRAPPER_PYTHON /usr/bin/python3
ENV VIRTUALENVWRAPPER_VIRTUALENV /usr/bin/virtualenv
RUN ["/bin/bash", "-c", "source", "/usr/share/virtualenvwrapper/virtualenvwrapper.sh"]
# Create a virtualenv so uwsgi can find locale
# RUN mkdir /home/tester/.virtualenv && virtualenv -p`which python3` /home/bts_tools/.virtualenv/bts_tools
RUN mkvirtualenv -p`which python3` bts_tools && \
workon bts_tools && \
pip3 --disable-pip-version-check install --upgrade bts_tools
USER tester
ENTRYPOINT ["/bin/bash"]
CMD ["--login"]
The build fails on the line I try to source the virtualenvwrapper script. Bash complains source needs an argument - the file to be sourced. So I comment out the RUN lines and it builds without error. When I run the resulting container I see all the additions to the ENV that virtualenvwrapper makes (you can see all of them by executing the "set" command without any args), and the script to be sourced is there too.
So my question is why doesn't docker find them? How does the docker build process work if the results of any previous RUNs or ENVs aren't applied for subsequent use in the Dockerfile? I know some things are applied and work, for example if you apt-get nginx you can refer to /etc/nginx or alter things under that folder. You can create a user and set it's password or cd into its home folder for example. If I move the WORKDIR before the RUN useradd -G I see a warning from useradd the home folder already exists. I tried to use the "time" program to time how long it takes to do various things in the Dockerfile and docker complains it can't find 'time'.
So what exactly is going on? I have spent the last 3 days trying to figure this out. It just shouldn't be this difficult. What am I missing?
Parts of the bts_tools flask app worked when I wasn't using virtual envs. Most of the app didn't work, and the issue was this locale problem. Since everything works on the host outside of docker, and after trying to alter the PATH, PYTHONHOME, PYTHONPATH in my uwsgi start script to overcome the dreaded "locale encoding" fatal error, I decided to try to replicate the host setup as closely as possible since that didn't have the locale issue. When I have had that problem before I could run dpkg-reconfigure python3 or fix with changes to PATH or ENV settings. If you google the problem you'll see many people have difficulties with python & locale. It's almost enough reason to avoid using python!
I posted this elsewhere about locale issue, if it helps.