A workflow management system for scientific devops.
https://antoinecheron.github.io/padins-backend/
Goal : to develop a computational tool for science researcher. This tool let them do three main things :
- Design a scientific worklow
- Execute the workflow on a distributed system
- Visualize the results, including matrices as videos
- User wants to produce a Boussinesq Simulation on a hillslope and see the results on a chart, choosing the kind of chart. Then go through the chart.
- User wants to adjust its mathematic model comparing the simulation's results and the data she picked up on the real case study.
There are two way to run this project : using an already built docker image or using the binaries.
Prerequisites
To run this project, you'll need :
Docker
https://www.docker.com/community-edition
Our lmt-python-core image
docker pull antoinecheronirisa/lmt-python-core
Then you just need to run it, no installation needed
UNIX-based OS
- Open a terminal
docker run -it --rm -p 8080:8080 -v /usr/include/padins/0-1-0:/usr/include/padins/0-1-0 -v /var/run/docker.sock:/var/run/docker.sock antoinecheronirisa/padins
- Go to : http://localhost:8080
WNIDOWS(data will not be persistent. I recommend using a Linux vm)
- Open the Windows Cmd
- Open port 445 of Windows trough the firewall, typing
netsh firewall set portopening tcp 445 enable
- Make sure docker is started, then
docker run -it --rm -p 8080:8080 -v /var/run/docker.sock:/var/run/docker.sock antoinecheronirisa/padins
- Open another Windows Cmd and type the following command to get the padins container's IP address :
docker-machine ip default
. Info : default is the name of the open VirtualBox. - Go to : http://{{ container's IP address }}:8080
Stopping the server
Simply use 'ctrl+c'
Starting the server in the background
Replace -it
with -d
in the commands above. -it
stands for interactive. Instead -d
stands for detached.
When using -d, if you want to stop the server I recommend naming the container, for example 'padins-server', then using
the command 'docker stop padins-server'.
As an example, you can use this command :
docker run -d --rm -p 8080:8080 -v /usr/include/padins/0-1-0:/usr/include/padins/0-1-0 -v /var/run/docker.sock:/var/run/docker.sock --name padins-server antoinecheronirisa/padins
[INFO] MacOS doesn't have the package manager apt-get. Instead, on every command using apt-get, use brew. For instance, apt-get install maven
becomes brew install maven
.
If you don't know homebrew, you can download it clicking this link.
Prerequisites
To run this project, you'll need :
Docker
https://www.docker.com/community-edition
A Java Virtual Machine
https://java.com/en/download/
OR
apt-get install default-jdk
You will also need maven and npm
sudo apt install maven
sudo apt-get install npm
First : open your terminal and go to the folder where you want to install this project
Then download the version you want,
For the stable version (latest release) :
wget "https://github.com/AntoineCheron/padins-backend/archive/v0.1.0.zip"
unzip v0.1.0.zip -d ./
cd padins-backend-0.1.0
For the last development version :
wget "https://github.com/AntoineCheron/padins-backend/archive/master.zip"
unzip master.zip -d ./
cd padins-backend-master
Then, just one step to install :
./install.sh
- Go to the folder where you installed the project
- Run the following command :
./run.sh