fermo_gui
is the graphical user interface for the metabolomics data analysis pipeline fermo_core
. It allows to start new analysis jobs, load existing session files, and visualize results.
For more information about FERMO, fermo_gui
, or fermo_core
, see the Documentation.
Nota bene: fermo_gui
has only been tested on Linux systems. While the Docker-installation is likely to work on other systems as well, they are not officially supported. See Fermo Online for a user-friendly installation-free version.
- Install
docker
anddocker-compose
- Download or clone the repository
- (Change into the fermo_gui base directory if not already present)
- Run
docker-compose up --build
. This will compose the docker container, install all dependencies and start the application. - Open the application in any browser with the URL
http://0.0.0.0:8001/
- To terminate the container, simply hit
ctrl+c
For more information about FERMO, fermo_gui
, or fermo_core
, see the Documentation.
FERMO is licensed under the MIT License.
- Mitja M. Zdouc zdoucmm@gmail.com
- Hannah E. Augustijn hannah.augustijn@gmail.com
See FERMO online for information on citing fermo_gui
.
All previous version of FERMO can be accessed via its Zenodo repository.
A list of dependencies can be found in the file pyproject.toml.
- Clone the repository to your local machine and enter the
fermo_gui
source directory - Install
python 3.11
- Install
pip install pipx
- Install
pipx install hatch
- Run
hatch -v env create dev
- Run
hatch run dev:pre-commit install
- Install redis-server with
sudo apt-get install redis-server
- Run the application with
hatch run dev:flask --app fermo_gui run --debug
- In a separate command line window, run
hatch run dev:celery -A make_celery worker --loglevel ERROR
The flask application automatically reads configuration settings from a config.py
file in the instance
directory in the fermo_gui
source directory (not in version control for security reasons).
If not available, fermo_gui
will employ default settings, assuming that the application runs offline.
These default settings must not be used if the application is to be deployed to production.
The following default settings are used:
SECRET_KEY: str
ONLINE: bool = True
MAX_RUN_TIME: int = 3600
CELERY: dict = {
"broker_url": "redis://localhost",
"result_backend": "redis://localhost",
"task_ignore_result": True,
"task_soft_time_limit": 3600
}
MAIL_USERNAME: str
MAIL_PASSWORD: str
MAIL_DEFAULT_SENDER: str
MAIL_SERVER: str
MAIL_PORT: int
MAIL_USE_TLS: bool
MAIL_USE_SSL: bool
Further, the number of workers can be adjusted in the entrypoint_docker.sh
script.
Contributions, whether filing an issue, making a pull request, or forking, are appreciated. Please see Contributing for more information on getting involved. Contributors agree to adhere to the specified Code of Conduct. For technical details, see the For Developers pages in the Documentation.