Cesium Web Frontend

About

Web frontend for the cesium library. Within the browser, users can upload time series data data, extract features, fit a model, and generate predictions for new data.

Getting started

The easiest way to try the web app is to run it through Docker:

1. Download the docker-compose file for Cesium: curl -Lo docker-compose.yml https://raw.githubusercontent.com/cesium-ml/cesium_web/master/docker-compose/docker-compose.yml

2. Ensure you have Docker Compose up and running, then: docker-compose up

3. Wait a few seconds and navigate to http://localhost:9000

4. Create a project and go! If you want some test data, an example header file and time series data are available at

   curl -Lo example-headers.dat https://raw.githubusercontent.com/cesium-ml/cesium-data/master/asas_training/asas_training_subset_classes.dat
   curl -Lo example-series.tar.gz https://raw.githubusercontent.com/cesium-ml/cesium-data/master/asas_training/asas_training_subset.tar.gz
   

Running the app locally

0. A Python 3.5 or later installation is required.

1. Install the following dependencies: Supervisor, NGINX, PostgreSQL, Node.JS.

• On macOS:

  1. Using Homebrew: brew install supervisor nginx postgresql node
  2. Start the postgresql server:
  • to start automatically at login: brew services start postgresql
  • to start manually: pg_ctl -D /usr/local/var/postgres start

• On Linux:

  1. Using apt-get: sudo apt-get install nginx supervisor postgresql libpq-dev npm nodejs-legacy
  2. It may be necessary to configure your database permissions: at the end of your pg_hba.conf (typically in /etc/postgresql/9.5/main), add the following lines:

  local   all             postgres                                peer
  local cesium cesium trust
  local cesium_test cesium trust
  

  and restart postgresl (sudo service postgresql restart).

2. Install Python and JavaScript dependencies with make_dependencies
3. Initialize the database with make db_init

If you've run this script before, you may see warnings here about the database already existing. Ignore those.

4. Run make to start the server and navigate to localhost:5000

Dev Tips

To execute the test suite:

• Install ChromeDriver from: https://sites.google.com/a/chromium.org/chromedriver/home (The binary has to be placed somewhere on your path.)
• Install Chrome or Chromium
• Optional: install xfvb for headless tests (only available on Linux)
• make test_headless or make test

Debugging:

• Run make log to watch log output
• Run make debug to start webserver in debug mode
• Run make attach to attach to output of webserver, e.g. for use with pdb.set_trace()
• Run make check-js-updates to see which Javascript packages are eligible for an upgrade.

Standards

To ensure that JavaScript & JSX code conforms with industry style recommendations, after adding or modifying any .js or .jsx files, run ESLint with node_modules/eslint/bin/eslint.js -c .eslintrc --ext .jsx,.js public/scripts/. To automatically run ESLint when you make changes to your JavaScript code, add a pre-commit hook by adding the following to your .git/hooks/pre-commit:

#!/bin/bash
# Pre-commit Git hook to run ESLint on JavaScript files.
#
# If you absolutely must commit without testing,
# use: git commit --no-verify (git commit -n)

filenames=($(git diff --cached --name-only HEAD))

for i in "${filenames[@]}"
do
    if [[ $i =~ \.js$ ]] || [[ $i =~ \.jsx$ ]] ;
    then
        echo node_modules/eslint/bin/eslint.js -c .eslintrc $i
        node_modules/eslint/bin/eslint.js -c .eslintrc $i
        if [ $? -ne 0 ];
        then
            exit 1
        fi
    fi
done

Docker images

Run make docker-images to build and push to Docker hub.