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)

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

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