[repo]
kind = "recipe"

[[stages]]

name = "deconv-obj"
description = "Do object deconvolution with graxpert"
role = "deblur" # one implementation of the 'deblur' step; rc-astro's blur_exterminator wins when installed
priority = 300

tool.name = "graxpert"
# other options: obj-devconv 1.0.1, stars decov 1.0.0, denoise 3.0.2
tool.parameters = { "ai_version" = "1.0.1" }

# or inline python code can be provided here.  In this case I'm using some python
# code I'm temporarily sharing from the main project...
script = [
    "-cmd",
    "deconv-obj",
    "-output",
    "{output.full_paths[0]}",
    "{input[0].full_paths[0]}"
]

[[stages.inputs]]
kind = "job"
# Note: if name is not specified, the first input will be named 0, second 1, etc.
after = "background.*"   # the name of the step we want to follow
multiplex = true # multiplex is like "job" but multiple tasks are created, one per input file from prior stage

[[stages.inputs.requires]]
kind = "min_count"
value = 1          # At this point if we don't have any valid inputs, reject this stage from consideration

[[stages.outputs]]
kind = "processed"
auto.prefix = "dco_"