Reflectometry Reduction

This project provides tools for reflectometry reduction.

reflred

A python package for loading, modifying and saving reflectivity data sets.

reflbin

A C program for rebinning NCNR 2-D ICP data sets.

reflweb

RPC access to reduction libraries, with javascript frontend (stateless)

To load data from a local store in web reduction, go to menu->data->add source->local (must be running the server locally, with the local datastore enabled in config)

Installation and use

Method 1: Docker Compose

This is the easiest way to get started. Clone the repo, the change directories into the repository and run:

docker-compose build
docker-compose up -d

This will result in a trio of docker containers being spun up, one with a web server for the interface ('reflweb'), one with the backend calculation RPC server ('reductus') and one with the Redis cache.

Files in ./reflweb/testdata/ will be mapped into the server at /data, for testing the local file handling. Changes to the python code can be incorporated into the containers by stopping them, then repeating the build and up commands above.

To stop:

docker-compose stop

To access the client, if using the new Docker beta navigate to http://localhost:8000/reflweb/web_reduction_filebrowser.html On Windows 7, if using docker-machine, you will have to get the IP of the default docker install and use that instead of localhost, e.g.

docker-machine ip default

In my case it was http://192.168.99.100:8000/reflweb/web_reduction_filebrowser.html

Method 2: Run directly in console

You must have a C99 build environment set up before starting. Clone the repo, then install (might be a good ideat to make a virtualenv first), e.g.

python setup.py install

Then start the server with:

cd reflweb
python server_flask.py 8002

and visit the page http://localhost:8002/static/index.html