To clarify, I am thinking that `local CLI` refers to downloading files from the UKB RAP and running a local instance of the tool on your local machine, so not using the tool instance in the RAP library.
By comparison, `RAP CLI` refers to using `dxpy` to ssh into the UKB RAP via the terminal and launch/run an instance of the tool from UKB RAP's library.
From my understanding, when running a analysis via the command line using `dxpy` (RAP CLI) you can use mounted file paths `/mnt/project/<file path>` however if you are using a local CLI commands then you won't have access to this mounting and will need to download the files to your local machine.
I'd say if you feel comfortable setting up your own local software environment that you could test/debug your jobs locally before submitting them to the RAP to leverage the compute resources and workflows desired. However if you don't feel comfortable with software environments, then I'd say running jobs via CLI RAP would probably be better.
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To clarify, I am thinking that `local CLI` refers to downloading files from the UKB RAP and running a local instance of the tool on your local machine, so not using the tool instance in the RAP library.
By comparison, `RAP CLI` refers to using `dxpy` to ssh into the UKB RAP via the terminal and launch/run an instance of the tool from UKB RAP's library.
From my understanding, when running a analysis via the command line using `dxpy` (RAP CLI) you can use mounted file paths `/mnt/project/<file path>` however if you are using a local CLI commands then you won't have access to this mounting and will need to download the files to your local machine.
I'd say if you feel comfortable setting up your own local software environment that you could test/debug your jobs locally before submitting them to the RAP to leverage the compute resources and workflows desired. However if you don't feel comfortable with software environments, then I'd say running jobs via CLI RAP would probably be better.
Happy to hear what other's experiences are.
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