Loads Irrigation CSV file contents to GeoStreams database.
Below is a sample command line that shows how the Irrigation CSV File Parser Docker image could be run. An explanation of the command line options used follows. Be sure to read up on the docker run command line for more information.
The files used in this sample command line can be found on Google Drive.
docker run --rm --mount "src=/home/test,target=/mnt,type=bind" agpipeline/irrigation_datparser:2.0 --working_space "/mnt" --clowder_url "<Clowder URL>" --clowder_key "<Clowder Key>" "/mnt/flowmetertotals_April-2017.csv"This example command line assumes the source files are located in the /home/test folder of the local machine.
The name of the image to run is agpipeline/irrigation_datparser:2.0.
We are using the same folder for the source files and the output files.
By using multiple --mount options, the source and output files can be separated.
Docker commands
Everything between 'docker' and the name of the Docker image are docker commands.
runindicates we want to run an image--rmautomatically delete the image instance after it's run--mount "src=/home/test,target=/mnt,type=bind"mounts the/home/testfolder to the/mntfolder of the running image
We mount the /home/test folder to the running image to make files available to the software in the image.
Image's commands
The command line parameters after the image name are passed to the software inside the image.
Note that the paths provided are relative to the running image (see the --mount option specified above).
--working_space "/mnt"specifies the folder to use as a workspace--clowder_url "<Clowder URL>"the URL of the Clowder instance to load weather data to--clowder_key "<Clowder Key>"the key associated with the Clowder account to use at the specified Clowder URL"/mnt/flowmetertotals_April-2017.csv"is the name of the file to load irrigation data from
It's also possible to specify the Clowder URL and key by setting the CLOWDER_URL and CLOWDER_DEFAULT_KEY environment variables.