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.

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.yaml https://raw.githubusercontent.com/cesium-ml/cesium_web/master/docker-compose.yaml

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 

0. A Python 3.6 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/9.6/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. 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

Copy config.yaml.defaults to config.yaml and customize.

• Under server, set 'multi_user' to True to enable logins. Also provide the Google credentials, obtained as described in the config file.
• Under app, modify the secret-key.

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

  To run a single test:

  ./tools/test_frontend.py cesium_app/tests/frontend/test_build_model.py::test_build_model_rfc

  Prepend the above with xvfb-run to run in headless mode.

Debugging:

• Run make log to watch log output
• Run make stop to stop any running web services.
• 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.

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 static/js/. 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 

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