LENS2-Dashboard

A repository for SIParCS Lens2 visualization project.

Recreating the environment

the environment.yml should allow you to recreate the conda environment required for this project. You can find miniconda here if you don't have conda installed. This tutorial on conda by ProjectPythia should help you install and understand the basics of environment management with conda.

Once you have conda installed, you can use the following commands to recreate the environment.

cd <project_directory> && conda create --prefix ./.env -c conda-forge mamba - This will create a directory called .env in your <project_directory> and install mamba in it. mamba is faster than conda in solving environments.
conda activate ./.env && mamba env update --file environment.yml --prefix ./.env - This will start creating the environemnt in the .env directory based on the environment.yml file.
conda activate ./.env and voila! This will activate the environment, hopefully with everything that you need installed. The following instructions can now be followed to start the server.

How to start the backend server

Once you have the environment activated, the following commands are required to (1) start a dask cluster, (2) start some dask workers, and (3) start the fastapi server.

Scheduler

dask scheduler --host localhost --port 8786

Workers - 16 workers, 2GiB memory

dask worker --host localhost --nworkers 16 --memory-limit '2GB' localhost:8786

FastAPI