[repo]
kind = "recipe"

[[stages]]

name = "master_bias"
description = "Generate master bias"
# disabled = true # can be used to prevent considering this stage (for debugging or whatever)

# We should normally be inheriting this from a common base stage definition
tool.name = "siril"

# Notice: the following script should be shared between dual duo **and** single duo workflows.  We shouldn't need to delcare it twice.
script = '''
    # Convert Bias Frames to .fit files
    link frames -out={process_dir}
    cd {process_dir}

    # Stack frames
    stack frames rej 3 3 -nonorm -out={output.base}
    '''

# Note: process_dir is provided automatically by the stage runner tasks

# temporaries = ["pp_{light_base}*"]

# inputs.name could eventually be optionally be specified.  But currently they are alway auto generated.
# in this case the 'name' will be "light" and therefore context["input"]["light"] will contain the information
# about this input.
# In the case of session based inputs the name will will be coded based on a combination of the session ID and the type.
# context["input"]["light"].base = "light_s{session["id"]}" # e.g. light_s23 for session ID 23
[[stages.inputs]]
# Auto find input light frames for the current session
# Look for files in input repos, finding them by using the "relative" tag they contain
kind = "session" # Formerly called "repo"

type = "bias"   # we are only applicable for sessions of type light frame
# Note: we could possibly remove "type" and instead just make it a require "imagetyp" clause?
# but leaving it here as 'special' means someday we could add it to the session query to improve performance
# performance.

[[stages.inputs.requires]]
kind = "unprocessed" # master generation never wants to consume already processed frames

# Note: require clauses are evaluated in order.  So for 'min_count' we probably want to test that last, after all other filtering is done.
[[stages.inputs.requires]]
kind = "min_count"
value = 2          # siril needs at least 2 frames to stack, raise an exception if not enough frames found
accept_single = true # if only one frame is found, just reuse it as the output (no stacking needed)

[[stages.outputs]]
kind = "master"