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Automatic data toolchain

A collection of tools to automatically handle a variety of datasets.

Develop

Each job should be in it's own folder with time.cron and start.sh files, as follows. A deploy script constructs a crontab with an entry for each folder with a time.cron and start.sh.

Repository
|
|-Script 1 folder
| |-time.cron  # single line containing crontab frequency
| |-start.sh   # shell script to start job in new container
| |-Dockefile  # container to build
| |-.env       # the global repo's .env file will be copied here
| +-...
|
|-Script 2 folder
| +-...
|
+-...

Standard start.sh builds and runs a docker container.

# name image
NAME=python-script

# build image
docker build -t $NAME --build-arg NAME=$NAME .

# run container and attach logger and environment variables
docker run --log-driver=syslog --log-opt syslog-address=$LOG --log-opt tag=$NAME -v $(pwd)/data:/opt/$NAME/data --env-file .env --rm $NAME

Standard time.cron should be one line without commands or breaks. E.g. run daily at 1:15am.

15 1 * * *

Deploy

Run locally with http://github.com/fgassert/nrt-container .

Run

To run this script on your own computer:

  1. This script is run in a Docker container. Before you can run this script, make sure you have downloaded Docker.

  2. You must also have a Google Cloud Storage account/project set up.

  3. Clone the nrt-scripts repository to your computer.

  4. Change the environmental variable sample file in this script's root folder (.env.sample) to .env, and replace the field after each variable with the indicated Google Cloud Storage service account credentials. Alternatively, you can create one master .env file on your computer with these credentials and create a symbolic link to the master copy of your .env file using the following command:
    ln -s /home/path/to/.env .

  5. Navigate to the root folder for this script (bio_005_coral_bleaching) in the command line, and run this script:
    ./start.sh

If you want this script to run automatically on your computer, you must set up a crontab. Alternatively, you can run the ./start.sh command each time you want to update the data.

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Scripts to generate data of real time datasets

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