WP4: Infrastructure
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Getting ready

System Requirements

  • 64-bit host system (OSX or Linux, Windows is currently not tested/supported)
  • min. 3.5 GB free disk space (the more the better, depends on how much HMI data you want to download)
  • min 4.0 GB RAM (the more the better)

Install software

Note: Windows has not been tested yet

SoftwareOS XLinux
Python

Install https://www.python.org/downloads/release/python-2711/

Should be preinstalled. Test with 

Code Block
languagebash
python --version

Otherwise check here.

PIP (Python installer)

PIP is shipped with Python 2.7.9+ and Python 3.4+.

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languagebash
pip --version

If you don't have it follow https://pip.pypa.io/en/stable/installing/

Python IDEWe suggest PyCharm, but any text editor or Spyder will work as well.
IDL

You can use your normal IDL setup to access data and prototype your algorithms.

Note: We do not support execution of IDL code on our cluster due to licensing issues. Let us know if this is a problem.

Please avoid SolarSoft/SSW-specific functionality in your algorithms. They tend to be hard to be ported to a cluster.

Git

(source code repository)

  1. Install XCODE though the App-Store

  2. open terminal

    xcode-select --install

  3. Click on "Install" and follow the wizard

sudo apt-get install git

Docker and

docker-compose

Install https://www.docker.com/docker-toolbox

  1. Start "Kitematic (Beta)" and wait until Virtual Machine is created.
  2. Stop "Kitematic (Beta)"
  3. Open "VirtualBox" and look for VM called "default"
  4. Stop VM "default" (e.g. send "ACPI Shutdown")
  5. "Settings" - "System" - "Motherboard" - Base Memory: 4GB
  6. Depending on your system you may want to increase the
    number of processors.
  7. Restart "Kitematic (Beta)"

Requires Kernel 3.10+

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languagebash
sudo curl -L https://get.docker.com/ | sh
sudo pip install docker-compose
 

Setup Access to Infrastructure

 

Info

This step is required to get access either to the HMI files stored in France or the properties extracted by our algorithms.

If you want to do all processing on your local machine, you can skip this step.

...

Code Block
languagebash
titleLogin to cluster
local> ssh flarecast-infra
# enter FLARECAST cluster password
cluster-head> exit
local>

Setup Docker

 

Info
Make sure you have decent internet connection.

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