We currently split the steps used by prepInputs by calling preProcess and postProcess directly, because prepInputs doesn’t know how to work with pieces of datasets (tiles etc.) — it needs to get, assemble, then do something with the data pieces. Also, working directly with the gdal tools is faster, leaving postProcess to deal with final crop/mask/reproject.
We should revisit the workflow to see how we might improve it to better use prepInputs and Cache machinery, e.g. for file checking and caching.
We currently split the steps used by
prepInputsby callingpreProcessandpostProcessdirectly, becauseprepInputsdoesn’t know how to work with pieces of datasets (tiles etc.) — it needs to get, assemble, then do something with the data pieces. Also, working directly with the gdal tools is faster, leavingpostProcessto deal with final crop/mask/reproject.We should revisit the workflow to see how we might improve it to better use
prepInputsandCachemachinery, e.g. for file checking and caching.