Building the image installs compilers and compiles the model:
**docker build --tag maizsimbuild:1.0 . **
make sure there is a space between the 1.0 and the '.' or docker will give an error running the image will create the container and launch the model and run a simulation:
docker run maizsimbuild:1.0
The command: docker create maizsimbuild:1.0 will just create the image. if you want to run that image in interactive mode you need to create or run with the option '-it' this is mostly used for debugging docker create -it maizsimbuild:1.0 docker run -it maizsimbuild:1.0
The command: docker start maizsimbuild:1.0 will start an existing image if it was created with the '-it' command you can run in a terminal
to run and create the container using a shared volume on your pc use the -v option For example, if you have a folder called d:\maizsim\agmipet2\run_02 on your (windows) pc that you want to make available to the container, then you would use docker run -v 'd:\maizsim\agmipet2\run_02:/run_02' -it maizsimbuild:1.0 docker start -v 'd:\maizsim\agmipet2\run_02:/run_02' -it maizsimbuild:1.0
note that you must already have a run_02 folder in the linux container to be able to map it.
to run and create in interactive mode, use -it
this would open the container in Bash and you can run commands. the model will already be compiled
If you have started the container and it is running you can interact with it as use docker ps to get the name of the running container in this example, the name is nice_poitras and I am running the command to list the files in the run_01 folder docker exec -it nice_poitras ls ./run_01
ro run a terminal use /bin/bash instead of ls ./run_01 to run the model use:
./maizsim ./run_02/runrun_02.dat
the output would go to the run_02 folder in the local drive.
The simulation is a run from the second Agmip ET study. See the maizsim github site