set-scale utility

iohub/cli/cli.py

@@ -2,7 +2,9 @@
 
 import click
 
+from iohub import open_ome_zarr
 from iohub._version import __version__
+from iohub.cli.parsing import input_position_dirpaths
 from iohub.convert import TIFFConverter
 from iohub.reader import print_info
 
@@ -87,3 +89,66 @@ def convert(input, output, grid_layout, chunks):
         chunks=chunks,
     )
     converter()
+
+
+@cli.command()
+@click.help_option("-h", "--help")
+@input_position_dirpaths()
+@click.option(
+    "--t-scale",
+    "-t",
+    required=False,
+    type=float,
+    help="New t scale",
+)
+@click.option(
+    "--z-scale",
+    "-z",
+    required=False,
+    type=float,
+    help="New z scale",
+)
+@click.option(
+    "--y-scale",
+    "-y",
+    required=False,
+    type=float,
+    help="New y scale",
+)
+@click.option(
+    "--x-scale",
+    "-x",
+    required=False,
+    type=float,
+    help="New x scale",
+)
+def set_scale(
+    input_position_dirpaths,
+    t_scale=None,
+    z_scale=None,
+    y_scale=None,
+    x_scale=None,
+):
+    """Update scale metadata in OME-Zarr datasets.
+
+    >> iohub set-scale -i input.zarr/*/*/* -t 1.0 -z 1.0 -y 0.5 -x 0.5
+
+    Supports setting a single axis at a time:
+
+    >> iohub set-scale -i input.zarr/*/*/* -z 2.0
+    """
+    for input_position_dirpath in input_position_dirpaths:
+        with open_ome_zarr(
+            input_position_dirpath, layout="fov", mode="r+"
+        ) as dataset:
+            for name, value in zip(
+                ["t", "z", "y", "x"], [t_scale, z_scale, y_scale, x_scale]
+            ):
+                if value is None:
+                    continue
+                old_value = dataset.scale[dataset.get_axis_index(name)]
+                print(
+                    f"Updating {input_position_dirpath} {name} scale from "
+                    f"{old_value} to {value}."
+                )
+                dataset.set_scale("0", name, value)

iohub/cli/parsing.py

@@ -0,0 +1,88 @@
+from pathlib import Path
+from typing import Callable, List
+
+import click
+from natsort import natsorted
+
+from iohub.ngff import Plate, open_ome_zarr
+
+
+def _validate_and_process_paths(
+    ctx: click.Context, opt: click.Option, value: List[str]
+) -> list[Path]:
+    # Sort and validate the input paths,
+    # expanding plates into lists of positions
+    input_paths = [Path(path) for path in natsorted(value)]
+    for path in input_paths:
+        with open_ome_zarr(path, mode="r") as dataset:
+            if isinstance(dataset, Plate):
+                plate_path = input_paths.pop()
+                for position in dataset.positions():
+                    input_paths.append(plate_path / position[0])
+
+    return input_paths
+
+
+def input_position_dirpaths() -> Callable:
+    def decorator(f: Callable) -> Callable:
+        return click.option(
+            "--input-position-dirpaths",
+            "-i",
+            cls=OptionEatAll,
+            type=tuple,
+            required=True,
+            callback=_validate_and_process_paths,
+            help=(
+                "List of paths to input positions, "
+                "each with the same TCZYX shape. "
+                "Supports wildcards e.g. 'input.zarr/*/*/*'."
+            ),
+        )(f)
+
+    return decorator
+
+
+# Copied directly from https://stackoverflow.com/a/48394004
+# Enables `-i ./input.zarr/*/*/*`
+class OptionEatAll(click.Option):
+    def __init__(self, *args, **kwargs):
+        self.save_other_options = kwargs.pop("save_other_options", True)
+        nargs = kwargs.pop("nargs", -1)
+        assert nargs == -1, "nargs, if set, must be -1 not {}".format(nargs)
+        super(OptionEatAll, self).__init__(*args, **kwargs)
+        self._previous_parser_process = None
+        self._eat_all_parser = None
+
+    def add_to_parser(self, parser, ctx):
+        def parser_process(value, state):
+            # method to hook to the parser.process
+            done = False
+            value = [value]
+            if self.save_other_options:
+                # grab everything up to the next option
+                while state.rargs and not done:
+                    for prefix in self._eat_all_parser.prefixes:
+                        if state.rargs[0].startswith(prefix):
+                            done = True
+                    if not done:
+                        value.append(state.rargs.pop(0))
+            else:
+                # grab everything remaining
+                value += state.rargs
+                state.rargs[:] = []
+            value = tuple(value)
+
+            # call the actual process
+            self._previous_parser_process(value, state)
+
+        retval = super(OptionEatAll, self).add_to_parser(parser, ctx)
+        for name in self.opts:
+            our_parser = parser._long_opt.get(name) or parser._short_opt.get(
+                name
+            )
+            if our_parser:
+                self._eat_all_parser = our_parser
+                self._previous_parser_process = our_parser.process
+                our_parser.process = parser_process
+                break
+        return retval

iohub/ngff/nodes.py

@@ -976,6 +976,33 @@ def scale(self) -> list[float]:
                 scale = [s1 * s2 for s1, s2 in zip(scale, trans.scale)]
         return scale
 
+    @property
+    def axis_names(self) -> list[str]:
+        """
+        Helper function for axis names of the highest resolution scale.
+
+        Returns lowercase axis names.
+        """
+        return [
+            axis.name.lower() for axis in self.metadata.multiscales[0].axes
+        ]
+
+    def get_axis_index(self, axis_name: str) -> int:
+        """
+        Get the index of a given axis.
+
+        Parameters
+        ----------
+        name : str
+            Name of the axis. Case insensitive.
+
+        Returns
+        -------
+        int
+            Index of the axis.
+        """
+        return self.axis_names.index(axis_name.lower())
+
     def set_transform(
         self,
         image: str | Literal["*"],
@@ -1007,6 +1034,60 @@ def set_transform(
             raise ValueError(f"Key {image} not recognized.")
         self.dump_meta()
 
+    def set_scale(
+        self,
+        image: str | Literal["*"],
+        axis_name: str,
+        new_scale: float,
+    ):
+        """Set the scale for a named axis.
+        Either one image array or the whole FOV.
+
+        Parameters
+        ----------
+        image : str | Literal[
+            Name of one image array (e.g. "0") to transform,
+            or "*" for the whole FOV
+        axis_name : str
+            Name of the axis to set.
+        new_scale : float
+            Value of the new scale.
+        """
+        if len(self.metadata.multiscales) > 1:
+            raise NotImplementedError(
+                "Cannot set scale for multi-resolution images."
+            )
+
+        if new_scale <= 0:
+            raise ValueError("New scale must be positive.")
+
+        axis_index = self.get_axis_index(axis_name)
+
+        # Append old scale to metadata
+        if "iohub" not in self.zattrs:
+            iohub_dict = {}
+        else:
+            iohub_dict = self.zattrs["iohub"]
+        iohub_dict.update({f"old_{axis_name}": self.scale[axis_index]})
+        self.zattrs["iohub"] = iohub_dict
+
+        # Update scale while preserving existing transforms
+        transforms = (
+            self.metadata.multiscales[0].datasets[0].coordinate_transformations
+        )
+        # Replace default identity transform with scale
+        if len(transforms) == 1 and transforms[0].type == "identity":
+            transforms = [TransformationMeta(type="scale", scale=[1] * 5)]
+        # Add scale transform if not present
+        if not any([transform.type == "scale" for transform in transforms]):
+            transforms.append(TransformationMeta(type="scale", scale=[1] * 5))
+
+        for transform in transforms:
+            if transform.type == "scale":
+                transform.scale[axis_index] = new_scale
+
+        self.set_transform(image, transforms)
+
 
 class TiledPosition(Position):
     """Variant of the NGFF position node

tests/cli/test_cli.py

@@ -1,9 +1,12 @@
+import random
 import re
+from pathlib import Path
 from unittest.mock import patch
 
 import pytest
 from click.testing import CliRunner
 
+from iohub import open_ome_zarr
 from iohub._version import __version__
 from iohub.cli.cli import cli
 from tests.conftest import (
@@ -13,6 +16,8 @@
     ndtiff_v3_labeled_positions,
 )
 
+from ..ngff.test_ngff import _temp_copy
+
 
 def pytest_generate_tests(metafunc):
     if "mm2gamma_ome_tiff" in metafunc.fixturenames:
@@ -103,3 +108,54 @@ def test_cli_convert_ome_tiff(grid_layout, tmpdir):
     result = runner.invoke(cli, cmd)
     assert result.exit_code == 0, result.output
     assert "Converting" in result.output
+
+
+def test_cli_set_scale():
+    with _temp_copy(hcs_ref) as store_path:
+        store_path = Path(store_path)
+        position_path = Path(store_path) / "B" / "03" / "0"
+
+        with open_ome_zarr(
+            position_path, layout="fov", mode="r+"
+        ) as input_dataset:
+            old_scale = input_dataset.scale
+
+        random_z = random.uniform(0, 1)
+
+        runner = CliRunner()
+        result_pos = runner.invoke(
+            cli,
+            [
+                "set-scale",
+                "-i",
+                str(position_path),
+                str(position_path),
+                "-z",
+                random_z,
+                "-y",
+                0.5,
+                "-x",
+                0.5,
+            ],
+        )
+        assert result_pos.exit_code == 0
+        assert "Updating" in result_pos.output
+
+        with open_ome_zarr(position_path, layout="fov") as output_dataset:
+            assert tuple(output_dataset.scale[-3:]) == (random_z, 0.5, 0.5)
+            assert output_dataset.scale != old_scale
+
+        # Test plate-expands-into-positions behavior
+        runner = CliRunner()
+        result_pos = runner.invoke(
+            cli,
+            [
+                "set-scale",
+                "-i",
+                str(store_path),
+                "-x",
+                0.1,
+            ],
+        )
+        with open_ome_zarr(position_path, layout="fov") as output_dataset:
+            assert output_dataset.scale[-1] == 0.1