Metadata-Version: 1.0
Name: CANberry
Version: 0.3
Summary: A small web app for Raspberry Pi with a controller area network (CAN) bus.
Home-page: http://canberry.readthedocs.org/
Author: Andreas Wilhelm, Florian Wilhelm
Author-email: Andreas_Wilhelm@gmx.de, Florian.Wilhelm@gmail.com
License: new-BSD
Description: ========
        CANberry
        ========
        
        A small web app that displays sensor data and controls a `MOVIDRIVE Antriebsumrichter
        <http://www.sew-eurodrive.at/produkt/antriebsumrichter-movidrive.htm>`_
        (traction converter) of SEW EURODRIVE connected to the `Raspberry Pi
        <https://www.raspberrypi.org/>`_ with the help of a controller area network
        (CAN) bus.
        
        Manuals
        -------
        
        * `MOVIDRIVE Serielle Kommunikation (10531602) <http://download.sew-eurodrive.com/download/pdf/10531602.pdf>`_
        * `MOVIDRIVE Handbuch (09191607) <http://download.sew-eurodrive.com/download/pdf/09191607.pdf>`_
        * `MOVIDRIVE Betriebsanleitung (10532609) <http://download.sew-eurodrive.com/download/pdf/10532609.pdf>`_
        * `MOVIDRIVE Operating Instruction (10532617) <http://download.sew-eurodrive.com/download/pdf/10532617.pdf>`_
        
        Installation
        ============
        
        In order to install CANberry just create a virtual environment with the help
        of `virtualenv`. Then install `python-can` following these `instructions
        <https://bitbucket.org/hardbyte/python-can>`_. Now just use pip to install
        CANberry::
        
            pip install canberry
        
        
        
        Configuration
        =============
        
        Create a configuration file .canrc with following content in your home directory::
        
            [default]
            interface = socketcan
            channel = can0
        
            [canberry]
            identifier = 16
        
        The identifier is the default target address.
        
        Development
        ===========
        
        Installation:
        
        * Create a virtual environment `virtualenv venv` and activate it with
          `source venv/bin/activate`.
        * Install all dependencies with `pip install -r requirements.txt`.
        * Run `python setup.py develop` to install CANberry in your virtual environment.
        * Run `canberry` from the command line to start the web application. Try
          `canberry -h` for help on more options.
        
        Updating the javascript components with:
        
        * Install *npm* with `sudo apt-get install nodejs`.
        * Install *bower* with `sudo npm install -g bower`.
        * Use `bower install -S` to install and update js dependencies like
          concise, ractive, jquery, flotcharts.
        
        Credits
        =======
        
        This project uses following libraries:
        
        * `jQuery <https://jquery.com/>`_
        * `Concise CSS <http://concisecss.com/>`_
        * `Ractive.js <http://www.ractivejs.org/>`_
        * `Flot <http://www.flotcharts.org/>`_
        * `python-can <https://python-can.readthedocs.org/>`_
        
        
        Note
        ====
        
        This project has been set up using PyScaffold. For details and usage
        information on PyScaffold see http://pyscaffold.readthedocs.org/.
        
        
Platform: UNKNOWN
