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Building the teco_spruce and teco_spruce_viz docker images

  1. Git clone teco_spruce and teco_spruce_viz from github inside path-to-application/<application_short_name>

    $ git clone https://github.com/ou-ecolab/teco_spruce

    $ git clone https://github.com/ou-ecolab/teco_spruce_viz

    teco_spruce folder contains the actual fortran code which runs the teco_spruce model.This folder also contains a DockerFile using which we can build an image of teco_spruce.

teco_spruce_viz contains the R code for the visualization of the generated graphs.This folder also contains a DockerFile using which we can build an image of teco_spruce_viz.

  2. Goto <application_short_name/teco_spruce> and build the teco_spruce image.

    # docker build -t teco_spruce .

  3. Goto <application_short_name/teco_spruce_viz> folder and inside it build ecopad_r image.

    # docker build -t ecopad_r .

Creating the spruce_data folder

  1. Goto <application_short_name/data/local> folder and create a folder <spruce_data> and go inside that folder and copy some important which will be required during the course of the installation.

    # mkdir spruce_data

    This folder will contain all the input files required to run the teco_spruce model.

    # cd spruce_data

    # wget -r -np -nd --reject "index.html*" http://ecolab.cybercommons.org/misc/spruce_data/ wget -r -np -nd --reject "index.html*" http://ecolab.cybercommons.org/misc/spruce_data/

  2. Create a folder inside <spruce_data> folder and name it <Weathergenerate> and move all the csv file from <spruce_data> to it.

    # mkdir Weathergenerate

    # mv EMforcing* Weathergenerate/

    The Weathergenerate file is needed to build the teco_spruce image.

Downloading the frontend contents

  1. Git clone ecopad_portal from github inside <application_short_name/data/static> folder.

    `# git clone https://github.com/ou-ecolab/ecopad_portal`

ecopad_portal contains the index.html along whith the api.js and template files which is the Grapical User Interface(GUI) of the system.

Some additional configurations

  1. Add pandas to the requirment.txt inside <application_short_name/celery/code>.

    Requirement.txt contains all the dependent libraries required to run run our system.Pandas is a python library which is used in the system to pull data from the spruce website.To learn more about pandas click here

  2. Inside <application_short_name/celery/code> create a folder task_config and inside task_config create a file config.py. config.py contain the username and password required to pull data from spruce_data website.

    # mkdir task_config

    # cd task_config

    # vi config.py

    #ftp_username="<username>"

    #ftp_password="<password>" `

  3. Create a <ecopad_tasks> folder inside <application_short_name/data/static> .

    # mkdir ecopad_tasks

    All the outputs of simulation,data simulation or forecasting will be generated inside this folder.