[repo]
kind = "recipe"

[[stages]]

name = "background"
description = "Do background subtraction with graxpert"
role = "background" 
tool.name = "graxpert"
tool.parameters = { ai_version = "{parameters.ai_version}", smoothing_option = "{parameters.smoothing_option}" }

# 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",
    "background-extraction",
    "-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 = "crop"   
# the name of the step we want to follow (FIXME, it should be just stack.* - currently we are limiting)
# graxpert/veralux to just simple non duo OSC 

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 = "bk_"
# name = [ "background.fits" ] # other options: obj-devconv 1.0.1, stars decov 1.0.0, denoise 3.0.2
# We now auto select output files based on the input file names

[[stages.parameters]]
name = "smoothing_option"
default = 0.5 # Value used if not overriden
description = "Smoothing option for graxpert background extraction"

[[stages.parameters]]
name = "ai_version"
default = "1.0.1"
description = "AI version for graxpert background extraction"