# The workflow the examples build toward: load two micrographs and segment
# the cells in each.
#
# It uses the example type, loader, and process block from this folder's
# siblings:
#   types/image/                     -> the project's Image type (types/image.py)
#   blocks/io-load-tiff/             -> the load_tiff_image capability (blocks/)
#   blocks/process-segment-cells/    -> the segment_cells block (blocks/)
#
# With those three files in place, this graph runs as-is: the Load node
# dispatches (Image, .tif) to the custom loader, and each micrograph flows
# into the segmentation.
#
# Paths are project-relative because a run executes with the project root as
# its working directory (engine/runners/local.py).
workflow:
  id: main
  version: 1.0.0
  description: Read both micrographs and segment the cells in each.
  nodes:
    - id: load-cells
      block_type: load_data
      config:
        params:
          # No capability_id: a drop-in block's id carries the source file's
          # mtime, so a value written here would name a capability that does
          # not exist on another machine. Dispatch resolves (Image, .tif) to
          # the one loader that claims it.
          core_type: Image
          path:
            - data/raw/cells_01.tif
            - data/raw/cells_02.tif
      layout:
        x: 120
        y: 200
    - id: segment
      block_type: segment_cells
      config:
        params:
          method: threshold
      layout:
        x: 440
        y: 200
  edges:
    - source: load-cells:data
      target: segment:image