Server installation and maintenance (docker)

Note

This is the help of the Vidjil server.
This help is intended for server administrators.
Users should consult the web application manual
Other documentation can also be found in doc.

The supported way to install, run, and maintain a Vidjil server is to use Docker containers. We are developing and deploying them since 2018, and, as of 2025, these Docker containers are used on all our servers (healthcare, public) as well as in some partner hospitals. See the hosting options, including support and remote maintenance such in-hospital servers through the VidjilNet consortium.

Requirements⚓︎

CPU, RAM, Platform⚓︎

Minimal⚓︎

The minimal requirements for Vidjil-algo (standard multi-core processor, 2GB RAM, recent distribution) are detailed in vidjil-algo.md.

Recommended⚓︎

When choosing hardware for your server it is important to know the scale of usage you require. If you have many users that use the app on a daily basis, you will need to have multiple cores to ensure the worker queues don't build up.

One worker will occupy one core completely when running vidjil-algo (which is currently single-threaded). When you have several users that use the app on a daily basis, you will need to have multiple (virtual) CPUs or cores to ensure the worker queues don't build up.

We create less workers for executing Vidjil-algo than there are (virtual) CPU or cores available, keeping always one CPU core dedicated to the web server, even when the workers run at full capacity. Running other RepSeq programs through the Vidjil server may require additional CPU and RAM.

Minimal (single user)⚓︎

vidjil-algo typically uses approx. 1.2GB of RAM to run on a 1GB .fastq and will take approx. 5+ minute on a standard computer.

Therefore in order to process requests from a single user with a few samples, any standard multi-core processor with 2GB RAM per worker will be enough.

Recommended (multiple users)⚓︎

For a single-team lab with one or two weekly sequencing runs, we advise a standard computer with 4 CPU/cores (hence 3 workers + 1 client), at at least 1 GHz and 8GB RAM.

For reference, here are setups of our public servers as of 2023 (300+ users, including 50+ regular users). 🌱 You probably don't need so much resources for your lab!

Health certified server: 8 cores/16 threads, 64 Go RAM, with redundant backups
Public server: 16 vCPUs (11 workers), 120GB RAM

Storage⚓︎

Full upload of sequences⚓︎

As for many high-throughput sequencing pipeline, disk storage to store input data (.fastq, .fasta, .fastq.gz or .fasta.gz) is now the main constraint in our environment.

Depending on the sequencer, files can weigh several GB. Depending of the number of users, a full installation's total storage should thus be several hundred GB, or even several TB (as of the end of 2023, 10 TB for the public server). We recommend a RAID setup of at least 2x2TB to allow for user files and at least one backup.

User files (results, annotations) as well as the metadata database are quite smaller (as of the end of 2016, on the public server, 3 GB for all user files of 40+ users). Note that even when the input sequences are deleted, the server is still able to display the results of previous analyses.

Remote access on a mounted filesystem⚓︎

Moreover, it is possible to access .fastq files on a mounted filesystem. See FILE_SOURCE below.

Authentication⚓︎

By default, accounts are local to the Vidjil server.

An experimental integration to LDAP servers is now available (LDAP variable in defs.py). Contact us if you need help in setting up such an authentication.

Network⚓︎

Once installed, the server can run on a private network. However, the following network access are recommended:

outbound access
for users: several features using external platforms (IgBlast, IMGT/V-QUEST…)
for server maintainers: upgrades and reports to a monitor server
inbound access
through the VidjilNet consortium, the team may help local server maintainers in some monitoring, maintenance and upgrade tasks, provided a SSH access can be arranged, possibly over VPN.

Installation with docker⚓︎

All our images are hosted on DockerHub in the vidjil repositories. The last images are tagged with vidjil/server:latest and vidjil/client:latest.

Individual services are started by docker-compose.

Before installation⚓︎

Install docker and docker compose If it doesn't exist yet, you should create a docker group. The users needing to access docker (typically administrators) must belong to this group.
Install git. Clone the Vidjil git with git clone https://gitlab.inria.fr/vidjil/vidjil.git, and go to the directory vidjil/docker. It contains docker-compose.yml as well as configuration files.

Docker environment⚓︎

The vidjil Docker environment is managed by docker compose, who launches the following services:

From image vidjil/client

nginx The front web server, containing the client web application and redirecting requests to uwsgi if needed

From image vidjil/server

uwsgi py4web backend server
workers-all and workers-short: The scheduler workers to run vidjil users' samples and other pre/post-process
flowers Front-end to monitor the status of py4web workers
fuse XmlRPCServer that handles custom fuses (for comparing samples)

From other images

mysql The database
redis Queue service to dispatch jobs to workers
restic Service that schedules regular backups

Network usage and SSL certificates⚓︎

If you are simply using Vidjil from your computer for testing purposes you can skip the next two steps.

Step 1 : Change the hostname in the nginx configuration vidjil-client/conf/nginx_vidjil, replacing $hostname with your FQDN.
Step 2 : Edit the vidjil-client/conf/conf.js change all 'localhost' to the FQDN

You will need the following step whether you are using locally or not.

Vidjil uses HTTPS by default, and will therefore require SSL certificates. You can achieve this with the following steps:

Configure the SSL certificates
A fast option is to create a self-signed SSL certificate. Note that it will trigger security warnings when accessing the client. From the docker/ directory:

openssl genrsa 4096 > vidjil.key
openssl req -new -x509 -nodes -sha1 -days 1780 -key vidjil.key > vidjil.crt
openssl x509 -noout -fingerprint -text < vidjil.crt
mkdir -p vidjil-client/ssl
mv vidjil.* vidjil-client/ssl/

If you are using the postfix container you may want to generate certificates (using the same process) and place them in postfix/ssl. The certificates must bear the name of your mail domain (\<mail-domain>.crt and \<mail-domain>.key)
A better option is to use other certificates, for example by configuring free Let's Encrypt certificates. One solution is to use certbot on the host to generate the certificates and to copy them in the right directory so that the container can access it. See Nginx and Let’s Encrypt with Docker. To check the integrity of the host, certbot needs to set up a challenge. Thus, Nginx needs to provide specific files that are generated by certbot. To do so, you should tell certbot to put those files in the /opt/vidjil/certs directory (this can be changed in the docker-compose.yml file). You can generate the certificates with the command certbot certonly --webroot -w /opt/vidjil/certs -d myvidjil.org. You'll need to update the Nginx configuration in docker/vidjil-client/conf/nginx_vidjil Then:

ln -s /etc/letsencrypt/live/vdd.vidjil.org/fullchain.pem vidjil-client/ssl/vidjil.crt
ln -s /etc/letsencrypt/live/vdd.vidjil.org/privkey.pem vidjil-client/ssl/vidjil.key

The certificates can be renewed with certbot renew to do so, you may wish to mount /etc/letsencrypt in the Docker image as a volume (eg. /etc/letsencrypt:/etc/nginx/ssl). However beware, because you would not be able to start Nginx till the certificates are in place. On certificate renewal (with certbot), you then need to restart the Nginx server. The following cron line can be used for certificate renewal (you may want to update the paths):

0 0 1 * * root (test -x /usr/bin/certbot && perl -e 'sleep int(rand(14400))' && certbot --webroot -w /opt/vidjil/certs renew && (cd /path/to/vidjil/docker/vidjil/docker; sudo -u vidjil docker-compose stop nginx && sudo -u vidjil docker-compose rm -f nginx && sudo -u vidjil docker-compose up -d nginx)) >> /var/log/certbot.log 2>&1

If necessary, in docker-compose.yml, update nginx.volumes, line ./vidjil-client/ssl:/etc/nginx/ssl, to set the directory with the certificates.

If you would prefer to use the vidjil over HTTP (not recommended outside of testing purposes), you can use the provided configuration files in docker/vidjil-server/conf and docker/vidjil-client/conf. You will find several files that contain "http" in their name. Simply replace the existing config files with their HTTP counter-part (for safety reasons, don't forget to make a backup of any file you replace.)

First configuration and first launch⚓︎

Set the SSL certificates
Change the mysql root password, mysql user password and the py4web admin password in .env file
Set the desired mail domain and credentials for the postfix container in .env
Set the number of workers in .env. Keep at least one threads not used to not overload server
Start the services with docker-compose up -d.

Then docker ps should display seven running containers for a localhost usage: vidjil-nginx, vidjil-uwsgi, vidjil-mysql, vidjil-fuse, vidjil-workers, vidjil-flowers, vidjil-redis. Services restic, reporter and postfix are useful for backup and email communication and need to be started for regular installation.

Vidjil also need germline files.
You can use IMGT germline files if you accept IMGT license. For this, from the vidjil directory (root of the git repository), run make germline to create germline/ while checking the license.
These germlines are included in the server container with a volume in the fuse block in your docker-compose.yml: ../germline:/usr/share/vidjil/germline.
Copy also the generated browser/js/germline.js into the docker/vidjil-client/conf/ directory.
Open a web browser to https://localhost, or to your FQDN if you configured it (see above). Click on init database and create a first account by entering an email. This account is the main root account of the server. Other administrators could then be created.
Once these main service are set, you can also set docker service for backup and mail communication.

notice : By default, Nginx HTTP server listens for incoming connection and binds on port 80 on the host, if you encounter the following message error:

ERROR: for nginx
Cannot start service nginx: driver failed programming external
connectivity on endpoint vidjil-nginx
(236d0696ed5077c002718541a9703adeee0dfac66fb880d193690de6fa5c462e):
Error starting userland proxy: listen tcp 0.0.0.0:80: bind: address already in use

You can resolve it either by changing the port used by Vidjil in the nginx.ports section of the docker-compose.yml file or by stopping the service using port 80.

Connect to docker containers⚓︎

Sometimes, in order to perform some maintenance operations, one may need to connect to a running docker container:

# Using docker and container name
docker exec -it <container_name> bash
# In docker folder using compose service name
docker compose exec -it <service_name> bash

For example, to connect to uwsgi, if the default container name was not modified:

# Using docker and container name
docker exec -it vidjil-uwsgi bash
# In docker folder using compose service name
docker compose exec -it uwsgi bash

NB: modifications done inside the container will be lost if container is destroyed (docker compose down or server restart), unless the modified files are stored in a mounted folder.

Further configuration⚓︎

The following configuration files are found in the vidjil/docker directory:

.env.default various variables use and transmit by docker to container: path, password, pool of workers, ...
vidjil-client/conf/conf.js various variables for the vidjil client
vidjil-client/conf/nginx_gzip.conf configuration for gzip in nginx
vidjil-client/conf/nginx_gzip_static.conf same as the previous but for static resources
vidjil-server/conf/defs.py various variables for the vidjil server
vidjil-server/conf/uwsgi.ini configuration required to run vidjil with uwsgi
vidjil-server/scripts/nginx-entrypoint.sh entrypoint for the nginx
vidjil-server/scripts/uwsgi-entrypoint.sh entrypoint for the uwsgi service. Ensures the owner of some relevant volumes are correct within the container and starts uwsgi
sites/nginx configuration required when running vidjil with nginx
service (not currently in use)

Here are some notable configuration changes you should consider. List of settable variables is in docker/.env.default. Some other should be done in vidjil-server/conf/defs.py file.

mysql root and vidjil password can be set as mentioned above
Change the FROM_EMAIL and ADMIN_EMAILS variables in vidjil-server/conf/defs.py. They are used for admin emails monitoring the server an reporting errors. Change also the hosting variable in vidjil-client/conf/conf.js.
If, according yo your local regulations, the server is suitable for hosting clinical data, you may update the HEALTHCARE_COMPLIANCE variable in vidjil-server/conf/defs.py and the healthcare variable in vidjil-client/conf/conf.js to remove warnings related to non-healthcare compliance. Updating this variable is the sole responsibility of the institution responsible for the server, and should be done in accordance with the regulations that apply in your country. See also the hosting options offered by the VidjilNet consortium.
To allow users to select files from a mounted volume, set FILE_SOURCE and FILE_TYPES in vidjil-server/conf/defs.py. In this case, the DIR_SEQUENCES directory will be populated with links to the selected files. Users will still be allowed to upload their own files.
By default path directory for files that require saving outside of the containers (the database, third party binaries, uploads, vidjil results and log files) is settable in .env.default file. Default path is set in .env.default at VOLUME_PATH variable. Default value is ./volumes/vidjil/ relative to docker directory. Change can also be done directly in volumes in docker-compose.yml for various services or in docker-compose.override.yml. See also Requirements / Storage above.
Configure the reporter. Ideally this container should be positioned on a remote server in order to be able to report on a down server, but we have packed it here for convenience. You will also need to change the DB_ADDRESS in conf/defs.py to match it.

Adding external software⚓︎

Some software can be added to Vidjil for pre-processing or even processing if the software outputs data compatible with the .vidjil or AIRR format. A dedicated binaries volumes is created at your $VOLUME_PATH. Executable should be automatically detected inside your container.

Warning

Some binaries working on your computer may not work inside container environment. For compatibilities reasons, keep in mind that some softwares need to be built inside the docker container to get correct libraries and compilers.

When the software has compatible inputs and outputs, it only requires to configure the appropriate pre process or analysis config (to be documented). In some cases, using the software may require development such as wrappers. Contact us to have more information and help.

Troubleshooting⚓︎

CORS header 'Access-Control-Allow-Origin' missing⚓︎

Sometime, you want to split the client and the server on different server. This type of configuration need to allow cross origin in nginx server. To do so, you need to modify nginx configuration files vidjil-client/conf/nginx_vidjil or .../nginx_vidjil_http. Adapt and add this line to server declaration:

add_header 'Access-Control-Allow-Origin' 'your_other_domain';

Error "Can't connect to MySQL server on 'mysql'"⚓︎

The mysql container is not fully launched. This can happen especially at the first launch. You may relaunch the containers.

If restarting the containers does not resolve the issue, there are a couple of things you can look into:

Ensure the database password in vidjil-server/conf/defs.py matches the password for the mysql user: vidjil. If you are not sure, you can check with the following:

docker exec -it vidjil-mysql bash
mysql -u vidjil -p vidjil

or reset it:

docker exec -it vidjil-mysql bash
mysql -u root -p
SET PASSWORD FOR vidjil = PASSWORD('<new password>');

Ensure the database was created correctly. This should have been done automatically, but just in case, you can check the console output, or check the database:

docker exec -it vidjil-mysql bash
mysql -u vidjil -p vidjil

If the database does not exist, mysql will display an error after logging in.

Launching the backup manually⚓︎

The backup should be handled by the restic container, see Making backups below. Otherwise backup can be done manually, see database doc.

I can't connect to the py4web administration site⚓︎

The URL to this site is your-website/_dashboard. The password should be given in the docker .env environment file.

Updating a Docker installation⚓︎

Adapt the config for the new version (see docker changelog)
1. See if modifications are needed in .env files
2. See if modifications are needed in other specific configuration file (docker-compose.yml, conf.js, defs.py, ...). Be careful: do not apply the config right now, wait for the new version to be deployed.
Set-up a warning message on your front end server if it is separated (otherwise, the front will be shutdown and the server will not answer):
1. Connect to the front-end server.
2. In conf.js file, set use_database to false. This will deactivate db access. In order to display an explicit message, uncomment the alert: part, setting explicit title and msg.
3. Restart the nginx service to take new config into account: docker compose restart nginx.
4. Re-load front-end webpage with no cache (Ctrl+F5 for example) and check the alert message is correctly displayed and database cannot be accessed.
Stop docker (on the backend server): docker compose down
Check if server needs to be updated (for instance sudo apt-get update && apt-get upgrade), and may be restarted. This is a good time to do that !
Check restic ran after the last modification. If need be, restart restic services: docker compose up -d restic. This should trigger an immediate save. After that, connect to restic service to see that an up-to-date snapshot exists.
Check if there are uncommitted changes in vidjil repo in vidjil folder. The idea here is to prevent having specific element in the server. Check if specificity can be committed to vidjil, or if it can be in the specific config repo. If not, save the modifications before checkout.
Backup database (!! Before update !!). The backup file may be found in the path mounted by restic. If need be, it can be done manually using database export
git checkout the new vidjil tag/branch.
Re-apply local modifications if need be.
Update specific config, either by running the corresponding pipeline or by pulling the branch and applying config ./apply_targets.sh
Download new docker images: docker pull vidjil/server and docker pull vidjil/client (hopefully we should improve this to use defined versions of images and not latest sometimes...)
If need be, update the contrib repo
If need be, the database backup should be loaded from a fresh db, see database import
Start all services: docker compose up -d
Tests modification directly in back-end website (do not forget to empty browser cache)
Update front-end server if it is separated using the same procedure, then reactivate front-end: modify conf.js file back to its old value

Knowing what docker image version is running⚓︎

As our latest image is always tagged latest you may have troubles to know what version is currently running on your server. To determine that, you can use the digest of the image. You can view it, for example with docker image --digests vidjil/server. Then you can compare it with the digests shown on the Docker Hub page.

Running the server in a production environment⚓︎

Introduction⚓︎

When manipulating a production environment it is important to take certain precautionary measures, in order to ensure production can either be rolled back to a previous version or simply that any incurred loss of data can be retrieved.

PY4web and Vidjil are no exception to this rule.

Database⚓︎

Database export⚓︎

docker compose up -d mysql # to be sure mysql is running
docker compose exec -it mysql bash
mysqldump -u <backup-user> -p --no-create-info --complete-insert --no-tablespaces vidjil > <backup-file.sql>

Then move the created sql file to a mounted folder to access it outside the container, and store it in a proper location.

NB: mysqldump may be replaced by mariadb-dump some times soon.

An important element to note here is the --no-create-info. We add this parameter because py4web needs to be allowed to create tables itself because it keeps track of database migrations and errors will occur if tables exist which it considers it needs to create.

Database import⚓︎

In order to import the data from another server, you need to ensure there will be no key collision, or the import will fail.

If the database contains data, the easiest is to drop the database and create a new database with empty tables:

Stop the running services: docker compose down
Drop the database : You need to
Delete the volumes/vidjil/mysql folder (or the corresponding mounted folder)
Delete the .table files used by py4web in volumes/vidjil/databases (or the corresponding mounted folder).
Recreate a database with empty tables: this is done by starting mysql and uwsgi services: docker compose up -d mysql uwsgi

NB: Let the tables be uninitialized here to prevent keys collisions.

Once the tables have been created, the data can be imported as follows:

docker compose exec -it mysql bash
mysql -u <user> -p vidjil < <backup-file.sql>

After this, starts all services using docker compose up -d.

Making backups⚓︎

The top priority is to backup files created during the analysis (either by a software or a human). Should the data be lost, valuable man-hours would be lost. In order to prevent this, we make several times a day incremental backups of the data stored on the public Vidjil servers.

Setting up `restic` service⚓︎

The backup task is done using the restic tool. To do this, we add a restic service in our docker compose configuration. An example of how to set the service up is implemented in docker-compose-dev.yml. Restic password is to modify in .env file.

To be able to get data from the database, you need to create a dedicated user backup in your MySQL database and to give it access to vidjil database, see below.

Some commands (see restic doc for more details):

to see snapshots:
Get in the docker container from vdb server: docker exec -it vidjil-restic bash
Run command restic snapshots
to load a snapshot:
Get in the docker container from vdb server: docker exec -it vidjil-restic bash
Run command sudo restic restore [snapshot id] --target [/folder]

Create backup user⚓︎

Set backup user password

The password for the backup user is to be defined in your .env file (either .env.default or you specific .env.something file), setting the value of MYSQL_BACKUP_PASSWORD.

Open a terminal, open mysql interface inside docker image

# open terminal in your MySQL container
docker exec -it vidjil-mysql bash

# Connect to Mysql as root. 
mysql -u root -p 
# Fill asked password with root password (variable `MYSQL_ROOT_PASSWORD` in .env file)

Create backup user and grant access to vidjil database

A backup use should be created inside MySQL database. Apply value backup and password according to change made at previous step.

CREATE USER 'backup'@'localhost' IDENTIFIED BY 'password';

Set host availability to connection

Host value (ip) of newly created user should be set. Use '%' to allow access from everywhere. A more restrictive ip could be use for security, but check that your ip should be fixed and do not change regularly.

UPDATE mysql.user SET Host = "%" WHERE User = "backup";
FLUSH PRIVILEGES;

Add right to read 'vidjil' database content to make backup of data.

GRANT SELECT, LOCK TABLES ON `mysql`.* TO 'backup'@'%';
GRANT SELECT, LOCK TABLES, SHOW VIEW, EVENT, TRIGGER ON `vidjil`.* TO 'backup'@'%';

Check that everything is set and available.

SHOW GRANTS FOR backup;

Restart restic service to force backup now

If you want to save now, restart restic: docker compose restart restic. Check logs to verify that backup is OK. One can also check size and date of dump.sql file in the folder mounted on /mnt/volumes/sql in restic container.

Note

Read docker logs for restic service to see if everything is working as expected.

Note on backup content⚓︎

By default, backup does not apply to uploaded files. In the server we run, we inform users that they should keep a backup of their original sequence files.

However, the configuration of restic service could be modified to save uploaded files, or other ones, see restic documentation.

Autodelete and Permissions⚓︎

Warning

Behavior not checked for py4web; TODO

Py4web has a handy feature called AutoDelete which allows the administrator to state that file reference deletions should be cascaded if no other references to the file exist. When deploying to production one needs to make sure AutoDelete is deactivated. This is the case for the default Vidjil installation (see server/py4web/apps/vidjil/models.py).

As a second precaution it is also wise to temporarily restrict py4web's access to referenced files.

Taking two measures to prevent file loss might seem like overkill, but securing data is more important than the small amount of extra time spent putting these measures into place.

Migrating Data⚓︎

Usually, when extracting data for a given user or group, the whole database should not be copied over. The migrator script allows the selective export and import of data, whether it be a single patient/run/set or a list of them, or even all the sample sets associated to a group (or to a user). The script takes care both of database, but also of results and analysis files (see below for sequence files).

See server/scripts-web2py/migrator.py --help

Exporting an archive⚓︎

Step 1 : prepare the archive directory⚓︎

First you should create an export directory to receive the exported data, if you are using a docker version of vidjil this directory must be accessible from your vidjil-server docker container. a possible location could be [DOCKER DIRECTORY]/vidjil-server/conf/export/

step 2 : give access permission to a group for the results you want to export⚓︎

Exports are group based, you can export all results owned by a group or create a new group and provide it with permissions on the results you want to export using the vidjil server interface as an admin user.

Keep the [GROUP_ID] you can find on the group page (displayed between parenthesis next to the group name) as you will require it for the next step

step 3 : run export command⚓︎

A script migrator.sh can be found in vidjil, if you are using the docker version, it can be found at this location in the vidjil-server container: /usr/share/vidjil/server/scripts-web2py/scripts.

sh migrator.sh -p [EXPORT_DIRECTORY] -s [PY4WEB_RESULTS_DIRECTORY] export group [GROUP_ID]

[EXPORT_DIRECTORY]: path to the export directory inside the vidjil-server container you should have prepared in step 1.
[PY4WEB_RESULTS_DIRECTORY]: the results directory path inside the container, it should be defined in your docker-compose.yml, by default it is /mnt/result/results/
[GROUP_ID]: id of the group owning the results to be exported (see step 2)

The config analyses and pre-processes are currently not exported as they may already exist on the recipient server and are depending on tools that can be missing or installed differently. Config and pre-processes must therefore be recreated or mapped manually to existing one on the recipient server (see next section step 3-4).

Importing an archive⚓︎

Step 1 : extract the archive on your server⚓︎

The export directory must be on your server and accessible from your vidjil-server docker container. You can define a new shared volume; or simply put the export directory on an already accessible location such as [DOCKER DIRECTORY]/vidjil-server/conf/export/

Step 2 : prepare the group that will own the data⚓︎

The permissions on a vidjil server are group based. Users and groups may be different from one server to another one. Before importing data on a server, one must have a group ready to receive the permissions to manage the imported files.

From the admin web interface has, you can create a new group ("groups" -> "+new group" -> "add group"). The group ID is displayed between parenthesis next to its name on the group page, you will need it later. If you create such a group on a blank vidjil server, the ID is 4.

Step 3 : prepare your server analysis configs⚓︎

This step may require bioinformatics support depending on your data, the config previously used, and the ones you intend to use on your new installation. We can offer support via the VidjilNet consortium for help on setting that.

Vidjil analysis configs should not be directly transferred between servers. Indeed, they depend on the setup of each server setup (software, paths...) and can collide with existing configs on your installation. Before importing, you thus need to create the missing analysis configs on your server and edit the config.json file provided in the export folder.

This config.json file initially contains a list of the analysis configs from the original public server, such as:

  "2": {
      "description": [
        "IGH",
        "vidjil",
        "-c clones -3 -z 100 -r 1 -g germline/homo-sapiens.g:IGH,IGK,IGL,TRA,TRB,TRG,TRD -e 1 -w 50 -d -y all",
        "-t 100 -d lenSeqAverage",
        "multi-locus"
      ],
      "link_local": 6
  },

"2" : the original config ID on the server from which the data was exported
"description" : the original config parameters (only for information, they are ignored in the import)
"link_local" : the config ID that will be used on the new server

In the config.json file, you have to replace all link_local values with the corresponding config ID of a similar config on your server (if you don't have a similar one you should create one).

If much of your imported data was on old configs, that you do not intend to run anymore, a solution is to create a generic legacy config for these old data.

Below is an example of such a config.json, linking actual configuration on the public app.vidjil.org server to configs to a newly installed server. This should be completed by a mapping of other configs that were used in the migrated data.

{
  "2": {
    "description": [ "IGH", "vidjil",  "-c clones -3 -z 100 -r 1 -g germline/homo-sapiens.g:IGH,IGK,IGL,TRA,TRB,TRG,TRD -e 1 -w 50 -d -y all", "-t 100 -d lenSeqAverage",  "multi-locus" ],
    "link_local": 6
  },
  "25": {
    "description": [ "multi+inc+xxx",  "vidjil",  "-c clones -3 -z 100 -r 1 -g germline/homo-sapiens.g -e 1 -2 -d -w 50 -y all",  "-t 100 -d lenSeqAverage",  "default: multi-locus, with some incomplete/unusual/unexpected recombinations"
    ],
    "link_local": 2
  },
  "26": {
    "description": [ "multi+inc", "vidjil", "c clones -3 -z 100 -r 1 -g germline/homo-sapiens.g -e 1 -d -w 50",  "-t 100",  "multi-locus, with some incomplete/unusual recombinations" ],
    "link_local": 3
  },
  "30": {
    "description": [
      "TRG", "vidjil", "-c clones -3 -z 100 -r 1 -g germline/homo-sapiens.g:TRG -y all", "-t 100 -d lenSeqAverage", "TRG, VgJg"
    ],
    "link_local": 5
  },
  "32": {
    "description": [ "multi", "vidjil", "-c clones -3 -z 100 -r 1 -g germline/homo-sapiens.g:IGH,IGK,IGL,TRA,TRB,TRG,TRD -e 1 -w 50 -d -y all", "-t 100 -d lenSeqAverage", "multi-locus" ],
    "link_local": 4
  }
}

Step 4 : prepare your server pre-process configs⚓︎

Proceed as in step 3 for pre-process configs. The file to edit is named pprocess.json.

Step 5 : import⚓︎

The import takes place inside the vidjil-server container

docker exec -it vidjil-uwsgi bash
cd usr/share/vidjil/server/scripts-web2py/
sh migrator.sh -p [RESULTS DIRECTORY] -s [EXPORT DIRECTORY] import --config [CONFIG.JSON FILE] --pre-process [PPROCESS.JSON FILE] [GROUP ID]

[RESULTS DIRECTORY]: the results directory path inside the container, it should be defined in your docker-compose.yml, by default it is /mnt/result/results/
[EXPORT DIRECTORY]: the export directory you installed in step 1, if you set it up in docker/vidjil-server/conf/export/ is location inside the container should be /etc/vidjil/export/
[CONFIG.JSON FILE] this file is located in the export folder and you should have edited it during step 3
[PPROCESS.JSON FILE] this file is located in the export folder and you should have edited it during step 4
[GROUP ID] ID of the group you should have created/selected during step 2

Usually, the command is thus:

sh migrator.sh -p /mnt/result/results/ -s /etc/vidjil/export/XXXX/ import --config/etc/vidjil/exportXXXX/config.json --pre-process /etc/vidjil/export/XXXX/pprocess.json  4

Exporting/importing input sequence files⚓︎

Note that py4web and the Vidjil server are robust to missing input files. These files are not backed up and may be removed from the server at any time. Most of the time, these large files won't be migrated along with the database, the results and the analysis files.

However, they can simply be copied over to the new installation. Their filenames are stored in the database and should therefore be accessible as long as they are in the correct directories.

Server Monitoring⚓︎

Some monitoring features are accessible through the web application with the addition of a new dedicated controller, allowing the retrieval of metrics from a Vidjil server instance. A full list of available metrics will be described below.

The goal of these metrics is to be regularly called by an API instance to be integrated into an external monitoring service. The tools used in our pipeline combine the Vidjil API for metrics requests, Prometheus for metrics storage, and Grafana for visualization.

graph TB
    subgraph Metrics servers
    D[Grafana<br>viewer] -- ask<br>metrics  --> C;
    C -- serve<br>metrics  --> D;
    C -- recurrent<br>requests  --> B;
    B -- formatted<br>metrics --> C[Prometheus<br>DB];
    end

    V1 ~~~ V2;
    V1 ~~~ VX;
    V2 ~~~ VX;

    V1(**Vidjil<br>server 1**) -- raw<br>metrics --> B[API<br>server];
    V2(**Vidjil<br>server 2**) -- raw<br>metrics --> B[API<br>server];
    VX(**Vidjil<br>server X**) -- raw<br>metrics --> B[API<br>server];
    B -- request<br>metrics --> V1;
    B -- request<br>metrics --> V2;
    B -- request<br>metrics --> VX;

A dedicated configuration of these tools can be found at this page and could be set up with a simple docker configuration.

Set up monitoring⚓︎

A set of three steps/conditions should be filled:

Add a dedicated metrics user and group⚓︎

This new group will only see metrics information.

If you start from a fresh installation initialized from scratch, a dedicated group named metrics will be automatically created.
If not, you will have to create it yourself (see Creating groups), name it metrics, and remove all rights in it.

An automatic creation of this user can be set at database initialization. To do this, various metrics variables should be set in docker/.env.default at the initialization of the database (METRICS_USER_PASSWORD, METRICS_USER_EMAIL).
If you have already initialized the database or done a server upgrade, you can also create a dedicated user and add it to this group.

Start a metrics server instance⚓︎

A metrics server instance should be installed, that will launch the combination of Vidjil API/Prometheus/Grafana to monitor server. More documentation on this last point will be found on dedicated repository and updated regularly with usage adoption.

Update some data in database⚓︎

A call to set_creator_samples_set should be done at migration to be able to access previous data more efficiently.

Available metrics⚓︎

A complete list of available metrics is listed here, and can be found in metrics.py file.

Note that some metrics are more computational intensive than others. We chose to split metrics in 2 lists: fast, long. Note that metrics server will call long metrics less often than fast ones.

Metrics	List	Descriptions
group_count	fast	Get number of groups
set_patients_count	fast	Get number of patients for all users
set_runs_count	fast	Get number of runs for all users
set_generics_count	fast	Get number of generic sets for all users
set_patients_by_user	fast	Get number of patients split by user id
set_runs_by_user	fast	Get number of runs split by user id
set_generics_by_user	fast	Get number of generic split by user id
sequence_count	fast	Get number of sequences files
results_count	fast	Get number of results present on server
sequence_by_user	fast	Get number of sequences files by user
sequence_size_by_user	fast	Get sump of sequence files by users
config_analysis	fast	Get list of analysis split by configurations
config_analysis_by_users_patients	fast	Get list of analysis, split by configurations, only for patients
config_analysis_by_users_runs	fast	Get list of analysis, split by configurations, only for runs
config_analysis_by_users_generic	fast	Get list of analysis, split by configurations, only for generics sets
login_count	fast	Get number of login count, group by user id
status_analysis	fast	Get number of analysis grouped by status (allows to see pending, finish, running or failed analysis)
set_patients_by_group	long	Get number of patients split by groups
set_runs_by_group	long	Get number of runs split by groups
set_generics_by_group	long	Get number of generic split by groups
config_analysis_by_groups	long	Get number of analysis split by configs and by groups

Using CloneDB [Under development]⚓︎

Note

This documentation is not suitable for py4web version of server. Please wait for release 2025.06 to be fixed. If you need to use it until this date, please contact us.

The CloneDB has to be installed independently of the Vidjil platform.

Then one can easily extract data to be used with CloneDB. A script is provided (server/scripts-web2py/create_clone_db.py) which produces a FASTA file to be indexed with CloneDB. This script takes as parameter the FASTA output file and one (or many) group IDs, which correspond to the groups having access to the datasets. Note that for the moment the Vidjil platform only allow a per group access to the CloneDB.

The FASTA output filename must follow the format clonedb_XXX.fa where XXX is replaced with the group ID.

Make sure that the DIR_CLONEDB variable is set in defs.py and points to the CloneDB server directory. Make sure that in this directory the clonedb_defs.py has been filled correctly.

Then index the created FASTA file with the CloneDB index (follow the instructions from CloneDB).

Server installation and maintenance (docker)

Requirements⚓︎

CPU, RAM, Platform⚓︎

Minimal⚓︎

Recommended⚓︎

Minimal (single user)⚓︎

Recommended (multiple users)⚓︎

Storage⚓︎

Full upload of sequences⚓︎

Remote access on a mounted filesystem⚓︎

Authentication⚓︎

Network⚓︎

Installation with docker⚓︎

Before installation⚓︎

Docker environment⚓︎

Network usage and SSL certificates⚓︎

First configuration and first launch⚓︎

Connect to docker containers⚓︎

Further configuration⚓︎

Adding external software⚓︎

Troubleshooting⚓︎

CORS header 'Access-Control-Allow-Origin' missing⚓︎

Error "Can't connect to MySQL server on 'mysql'"⚓︎

Launching the backup manually⚓︎

I can't connect to the py4web administration site⚓︎

Updating a Docker installation⚓︎

Knowing what docker image version is running⚓︎

Running the server in a production environment⚓︎

Introduction⚓︎

Database⚓︎

Database export⚓︎

Database import⚓︎

Making backups⚓︎

Setting up restic service⚓︎

Create backup user⚓︎

Note on backup content⚓︎

Autodelete and Permissions⚓︎

Migrating Data⚓︎

Exporting an archive⚓︎

Step 1 : prepare the archive directory⚓︎

step 2 : give access permission to a group for the results you want to export⚓︎

step 3 : run export command⚓︎

Importing an archive⚓︎

Step 1 : extract the archive on your server⚓︎

Step 2 : prepare the group that will own the data⚓︎

Step 3 : prepare your server analysis configs⚓︎

Step 4 : prepare your server pre-process configs⚓︎

Step 5 : import⚓︎

Exporting/importing input sequence files⚓︎

Server Monitoring⚓︎

Set up monitoring⚓︎

Add a dedicated metrics user and group⚓︎

Start a metrics server instance⚓︎

Update some data in database⚓︎

Available metrics⚓︎

Using CloneDB [Under development]⚓︎

Setting up `restic` service⚓︎