Unable to use vi editor in wordpress container - wordpress

I have been struggling to use vi editor in WordPress container (on Kubernetes) to edit a file wp-config.php
I am currently using this helm chart of WordPress from Artifactub: https://artifacthub.io/packages/helm/bitnami/wordpress
Image: docker.io/bitnami/wordpress:6.1.1-debian-11-r1
These are the errors I'm getting when trying to edit the wp-config.php inside the pod with either vi or vim
# vi wp-config.php
bash: vi: command not found
When I tried installing the vi, I get this error:
apt-get install vi
# Error
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
Then I tried by first ssh-ing into the node hosting the WordPress pod, then exec into the container using docker with sudo privileges as shown below:
docker exec -it -u root <containerID> /bin/bash
I then tried installing the vi editor in the container by still getting this same error
The content I want to add to the wp-config.php is the following. It's a plugin requirement so that I can be able to store media files right into my AWS S3 bucket:
define('SSU_PROVIDER', 'aws');
define('SSU_BUCKET', 'my-bucket');
define('SSU_FOLDER', 'my-folder');
Can I run the command like this:
helm install my-wordpress bitnami/wordpress \
--set mariadb.enabled=false \
--set externalDatabase.host=my-host \
--set externalDatabase.user=my-user \
--set externalDatabase.password=my-password \
--set externalDatabase.database=mydb \
--set wordpressExtraConfigContent="define('SSU_PROVIDER', 'aws');define('SSU_BUCKET', 'my-bucket');define('SSU_FOLDER', 'my-folder');"

In the chart documentation repository here there are 2 possible ways to do it:
So, to the value files you could use wordpressExtraConfigContent variable and add extra content, or use the variable wordpressConfiguration to set a new wp-config.php
EDIT: You seem to be trying to define environment variables with php define, in that case you can pass environment variables to the pods with the variables:
So --set extraEnvVars or create a configmap with the variables that you want( would be better) and pass --set extraEnvVarsCM <you-configmap> (which will mount the configmap as an env var into the wordpress container.

The Fix for me after a marathon of different options was just to use a plugin to sync my media files with my AWS s3 bucket. There was literally no way for me to be able to do any function with the bitnami wordpress container. Can't edit nor install any edition (vi/vim/nano). It was locked and I didn't want to edit and build from their base image because we had running wordpress applications on a k8s cluster
This is the plugin that I used media cloud

Related

Docker WordPress image does not persist wp-content when creating new docker images

let me clarify the situation:
Run wordpress docker container with:
docker run --name wp -d -p 80:80 wordpress
Login to a running container using bash:
docker exec -it wp /bin/bash
Create 2 dummy files:
One in root:
touch /xxx
One in wp-content/themes
touch /var/www/html/wp-content/themes/xxx
Create a new wordpress image:
docker commit wp new_wp
Kill the original container:
docker kill wp
Run new docker image:
docker run --name new_wp -d -p 80:80 new_wp
Inspect dummy files created in step 3:
Dummy file in root exists
Dummy file in wp-content/themes no longer exists!!!
Questions:
Can anyone explain such a bizare behaviour in step 7?
What am I supposed to do to persist wp-content data?
P.S. I am deploying to AWS ECS Fargate instances therefore using volumes is not very practical for me. Ideally - I would love to have everything under one image without files disappearing from wp-content directory.
Thank you very much for your answers.
The docker image for wordpress includes a VOLUME statement:
VOLUME /var/www/html
This forces a volume to be created on any resulting containers even if you do not specify one in your docker run command. Without a specification, you will get an anonymous volume with a long unique id that can be seen in docker volume ls.
The docker commit command (which I strongly recommend against using in any workflow that you want repeatability) only captures changes to the container filesystem (you can see these with docker container diff). The changes to the volume are not part of the container filesystem, and therefore will not be included in this commit.
To persist data, you should be defining and using a volume, e.g.:
docker run --name wp -v wpdata:/var/www/html -d -p 80:80 wordpress
Docket is inherently non-persistent.
If you want to leverage docker for WP I highly recommend offloading image asset management to S3 and Cloudfront.

How to install JupyterHub with Docker on a local machine and in a sub domain

I will run JupyterHub in a sub domain. Here is the Dockerfile, jupyterhub_config.py, .gitlab-ci.yml.
My first question is how to configure the jupyter_config.py. How can I load the jupyterhub_config.py on the build in the container?
How do I start Jupyterhub in the .gitlab-ci.yml for tests and how do I copy the application in the sub domain? I wrote a README.md. I need a little help for the JupyterHub. If all works fine, I will write a complete HOWTO Install JupyterHub on a local machine and in a sub domain by a provider.
FROM continuumio/miniconda3
# Updating packages
RUN apt-get update -y \
&& apt-get install -y --no-install-recommends \
git \
nano \
unzip \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# Install conda and Jupyter
RUN conda update -y conda
RUN conda install -c conda-forge jupyter_nbextensions_configurator \
jupyterhub \
jupyterlab \
matplotlib \
pandas \
scipy
# Setup application
EXPOSE 8000
CMD ["jupyterhub", "--ip='*'", "--port=8000", "--no-browser", "--allow-root"]
The .gitlab-ci.yml
image: docker:latest
variables:
CONTAINER_IMAGE: registry.gitlab.com/joklein
DOCKER_IMAGE: jupyterhub
TAG: 0.1.0
services:
- docker:dind
stages:
- build
- test
- release
- deploy
before_script:
- echo "$GITLAB_PASSWORD" | docker login registry.gitlab.com --username $GITLAB_USER --password-stdin
build:
stage: build
script:
- docker build -t $CONTAINER_IMAGE/$DOCKER_IMAGE .
- docker push $CONTAINER_IMAGE/$DOCKER_IMAGE
test:
stage: test
script:
- docker pull $CONTAINER_IMAGE/$DOCKER_IMAGE
# - docker run $CONTAINER_IMAGE/$DOCKER_IMAGE -dt -p 8000:8000 --name $DOCKER_IMAGE
release:
stage: release
script:
- docker pull $CONTAINER_IMAGE/$DOCKER_IMAGE
- docker tag $CONTAINER_IMAGE/$DOCKER_IMAGE:latest $CONTAINER_IMAGE/$DOCKER_IMAGE:$TAG
- docker push $CONTAINER_IMAGE/$DOCKER_IMAGE:$TAG
only:
- master
deploy:
stage: deploy
image: alpine:latest
before_script:
- apk update && apk add git openssh-client rsync
script:
- mkdir .public
- cp -r * .public
- mv .public public
- mkdir "${HOME}/.ssh"
- echo "${SSH_HOST_KEY}" > "${HOME}/.ssh/known_hosts"
- echo "${SSH_PRIVATE_KEY}" > "${HOME}/.ssh/id_rsa"
- chmod 700 "${HOME}/.ssh/id_rsa"
- rsync -hrvz --delete --exclude=_ public/ user#example.com:www/jupyter/
only:
- master
The jupyterhub_config.py
c = get_config()
# Letsencrypt (https://letsencrypt.org/) to obtain a free, trusted SSL
# certificate.
c.JupyterHub.ssl_key = '/etc/letsencrypt/live/example.com/privkey.pem'
c.JupyterHub.ssl_cert = '/etc/letsencrypt/live/example.com/fullchain.pem'
c.JupyterHub.port = 443
#
# Change from JupyterHub to JupyterLab
c.Spawner.default_url = '/lab'
c.Spawner.debug = True
#
# # Specify users and admin
c.Authenticator.whitelist = {"systemuser"}
c.Authenticator.admin_users = {"systemuser"}
Docker base image of JupyterHub and JupyterLab
JupyterHub is a multi-user server for Jupyter notebooks. JupyterLab is the
next-generation web-based user interface for the Jupyter Project. This
JupyterHub is a Docker base image for JupyterHub and JupyterLab
that works as a stand-alone application and in a (sub) domain.
Images derived from this image can either run as a stand-alone server, or
function as a volume image for your server. You can also use them in a CI/CD
system such as GitLab CI to build your content prior to bundling it into a
standalone server container.
Building your JupyterHub image
Based on this structure, you can easily build an image for your needs. There are two options for using the image you generated:
as a stand-alone image
as a volume image for your webserver
The simplest way to build your own image is to use a Dockerfile. This is only an example. If you need more software packages you can install them with this
Dockerfile and conda.
Build the container
docker build -t juypterhub .
Your JupyterHub with JupyterLab is automatically generated during this build.
Run the container
docker run -p 8000:8000 -d --name jupyterhub jupyterhub jupyterhub
-p is used to map your local port 8000 to the container port 8000
-d is used to run the container in background. JupyterHub will just write
logs so no need to output them in your terminal unless you want to troubleshoot a server error.
-- name jupyterhub names your container jupyterhub
jupyterhub the image
jupyterhub is the last command used to start the jupyterhub server
and your JupyterHub with Jupyterlab is now available of http://localhost:8000.
Start / Stop JupyterHub
docker start / stop juyterhub
Configure JupyterHub
Let's encrypt certificates for JupyterHub
To enable HTTPS on your website, you need to get a certificate (a type of file) from a Certificate Authority (CA). Let’s Encrypt is a CA. In order to get a certificate for your website’s domain from Let’s Encrypt, you have to
demonstrate control over the domain. With Let’s Encrypt, you do this using
software that uses the ACME protocol, which typically runs on your web host.
Change to zerossl.com and generate a certificate for your domain. As the
result you get four files, domain-key.txt, domain-crt.txt, domain-csr.txt, account-key.txt. This files uses base 64, which is readable in
ASCII, not binary format. The certificates are already in PEM format. Just
change the extension to *.pem.
For JupyterHub only the files domain-key.txt and domain-crt are needed.
cp domain-crt.txt fullchain.pem
cp domain-key.txt privkey.pem
Add a System user in the container
By default JupyterHub searches for users on the server. In order to be able to
log in to our new JupyterHub server we need to connect to the JupyterHub docker
container and create a new system user with a password.
docker exec -it jupyterhub bash
useradd --create-home systemuser
passwd systemuser
exit
The command docker exec -it jupyterhub bash will spawn a root shell in your
docker container. You can use the root shell to create system users in the
container. These accounts will be used for authentication in JupyterHub's
default configuration.
The first command useradd creates a new user named systemuser. The second will
ask you for a password.
The all process might be simpler with GitLab 12.0 (June 2019), and its
Git integration for JupyterHub
Deploying JupyterHub via GitLab’s Kubernetes integration provides an easy way to get started with Jupyter notebooks, which can be used to create and share documents that contain live code, visualizations, and even runbooks.
Starting with GitLab 12.0, JupyterLab’s Git extension is automatically provisioned and configured when installing JupyterHub onto your Kubernetes cluster.
This integration enables full version control of your notebooks as well as issuance of Git commands within Jupyter. Git commands can be issued via the Git tab on the left panel or via Jupyter’s command line prompt.
See documentation and gitlab-ce issue 47138.
jupyterhub --generate-config
This is what on the documentation
It created a config.py file in /srv/jupyterhub

Manage wordpress files in google container Engine and kubernetes

I am in the middle of no where. Following this tutorial https://cloud.google.com/container-engine/docs/tutorials/persistent-disk
I deployed wordpress to google container engine. Now i have no idea how to access wordpress files on this Persistent Disks either with ftp or sftp. I can access project files with sftp on filezilla but can't find wordpress core files in it. Is there any way i can access these wordpress files?
The persistent disk containing the wordpress files are attached to the wordpress pod. This disk is mounted on /var/www/html folder under the wordpress pod. You can access these files by connecting to the wordpress pod. First get the name of the running pod by executing the following command,
kubectl get pods
Now use the name of the wordpress pod in the following command. This runs a remote shell on the wordpress pod,
kubectl exec -it <POD_NAME> sh
In the shell, run the ls command to see the list of wordpress files,
# ls
This will list the wordpress files. If you want to edit these files, you need to install vim or nano.
# apt-get update
# apt-get install vim
# apt-get install nano
# vi wp-config.php
Note that the vim/nano will be removed if the wordpress pod is restarted. If you really want them inside your pod, you will need to create a custom container.
First take a look here: https://stackoverflow.com/a/46011597/1197205
This plugin uses Google Cloud Storage so it's easy to access via the UI
Another solution (only if you run 1 pod because otherwise you'd need to sync between disks): use an sftp container as a sidecar for the wordpress pod

MUP (meteor) deploy deletes files

Sadly although mup deploy works perfectly, I have a folder called ".uploads", which users can upload files into.
Each deploy deletes the files in the directory. I would like to exclude or protect the file from the deploy deleting the files, any ideas?
Currently I filed an issue: https://github.com/arunoda/meteor-up/issues/1022
Not sure if its an issue with mup or my system setup. I use tomitrescak:meteor-uploads and also cfs:file-collection. They both have the same issue.
But from what I see it shall be easy to do, you need to modify the script at https://github.com/arunoda/meteor-up/blob/mupx/templates/linux/start.sh#L26
And add a new mapping. You can map multiple volumes such as following: Mounting multiple volumes on a docker container?
So your script would look like (mounting the folder on the host machine /opt/uploads/myapp to the folder /opt/uploads in the container):
docker run \
-d \
--restart=always \
--publish=$PORT:80 \
--volume=$BUNDLE_PATH:/bundle \
--volume=/opt/uploads/myapp:/opt/uploads/ \ .... this is the new line
--env-file=$ENV_FILE \
--link=mongodb:mongodb \
--hostname="$HOSTNAME-$APPNAME" \
--env=MONGO_URL=mongodb://mongodb:27017/$APPNAME \
--name=$APPNAME \
meteorhacks/meteord:base
This can be found in "start.sh" in MUP until this issue is resolved and you can mount volumes via the options.
Also see discussion here: https://github.com/tomitrescak/meteor-uploads/issues/235#issuecomment-228618130

Updating a Symfony app with Docker-compose without losing data

I have a multi-container Symfony application that uses docker-compose to handle the relationships between the containers. To simplify a little, i have 4 main services :
code:
image: mycode
web:
image: mynginx
volumes-from:
- code
ports:
- "80:80"
links:
- php-fpm
php-fpm:
image: myphpfpm
volumes-from:
- code
links:
- mongo
mongo:
image: mongo
The "mycode" image contains the code of my application and is built from the following Dockerfile :
FROM composer/composer
RUN apt-get update && apt-get install -y \
libfreetype6-dev \
libmcrypt-dev \
libxml2-dev \
libicu-dev \
libcurl4-openssl-dev \
libssl-dev \
pkg-config
RUN docker-php-ext-install iconv mcrypt mbstring bcmath json ctype iconv posix intl
RUN pecl install mongo \
&& echo extension=mongo.so >> /usr/local/etc/php/conf.d/mongo.ini
COPY . /code
WORKDIR /code
RUN rm -rf /code/app/cache/* \
&& rm -rf /code/app/logs/* \
&& chown -R root /code/app/cache \
&& chown -R root /code/app/logs \
&& chmod -R 777 /code/app/cache \
&& chmod -R 777 /code/app/logs \
&& composer install \
&& rm -f /code/web/app_dev.php \
&& rm -f /code/web/config.php
VOLUME ["/code", "/code/app/logs", "/code/app/cache"]
At first, deploying this application was easy. I just had to do a simple docker-compose up -d and it created all the containers and ran them without any issue. But then i had to deploy a new version.
This configuration uses volumes to store data :
the source code is mounted on the /code volume, and shared between 3
containers (code, web, php-fpm). It has to be replaced by a new version when deploying.
the MongoDb data is on another
volume, mounted only by the mongo container. I have to keep this data between deployments.
When i deploy an update to my code, i publish the new version of the mycode image and re-create the container. But since the /code volume is still used by the web and php-fpm containers, the old volume can't be replaced by the new one. I have to stop all the running services to delete the old volume, and if i use the docker-compose rm -v command, it will delete the mongodb data too !
Can't i replace only one volume with a new version, without any downtime ?
So i'm kind of stuck here. I'm thinking of having a permanent volume to store the code and update it through SSH with Capistrano, old style. This will allow me to run doctrine migrations scripts after deployment too. But i have other issues with it as Capistrano uses symlinks to handle versions so i can't just mount the /current folder to /code.
Do you have a solution to handle the deployment of a Docker application without losing data and without downtime ?
Should i use manual scripts instead of docker-compose ?
the source code is mounted on the /code volume
This is the problem, it is not what you want.
Code never goes into a volume, it should change when the image changes. Volumes are for things that you want to preserve between changes to the image (data, logs, state, etc).
Code is the immutable thing that you want to replace when you change a container. So remove the /code volume from the Dockerfile entirely, and instead do an ADD . /code in the mynginx and myphpfpm Dockerfiles.
With that change, you can deploy with just up -d. It will recreate any container that have changed, and your volumes will be copied over. You don't need an rm anymore.
If you have your Dockerfile for myphpfpm and mynginx in a different directory, you can build using docker build -f path/to/dockerfile .
Using a host volume (as suggested in another answer) is another option, however that's not usually what you want outside of development. With a host volume you would still remove the /code VOLUME from the dockerfile.
Do not copy the code via the Dockerfile, just attach volumes to the 'code' container.
Few edits:
code:
image: mycode
volumes:
- .:/code
- /code
web:
image: mynginx
volumes-from:
- code
ports:
- "80:80"
links:
- php-fpm
php-fpm:
image: myphpfpm
volumes-from:
- code
links:
- mongo
mongo:
image: mongo
Same thing applies to mongo mount it to an external volume so it persists when the container shuts down. Actually there is also another method, they mention it in their dockerhub page https://hub.docker.com/_/mongo/
Where to Store Data
Important note: There are several ways to store data used by
applications that run in Docker containers. We encourage users of the
mongo images to familiarize themselves with the options available,
including:
Let Docker manage the storage of your database data by writing the
database files to disk on the host system using its own internal
volume management. This is the default and is easy and fairly
transparent to the user. The downside is that the files may be hard to
locate for tools and applications that run directly on the host
system, i.e. outside containers.
Create a data directory on the host system (outside the container) and
mount this to a directory visible from inside the container. This
places the database files in a known location on the host system, and
makes it easy for tools and applications on the host system to access
the files. The downside is that the user needs to make sure that the
directory exists, and that e.g. directory permissions and other
security mechanisms on the host system are set up correctly.

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