added skeleton path length example to docs (#945)

* added skeleton path length example to docs

* Update docs/src/webknossos-py/examples/load_annotation_from_file.md

Co-authored-by: Norman Rzepka <[email protected]>

* Update docs/src/webknossos-py/examples/load_annotation_from_file.md

Co-authored-by: Norman Rzepka <[email protected]>

* added tests

* fix test for load_annotation_file example

* fix test

* fix tests?

---------

Co-authored-by: Norman Rzepka <[email protected]>

Author: hotzenklotz

docs/mkdocs.yml

@@ -96,6 +96,8 @@ nav:
               - webknossos-py/examples/skeleton_synapse_candidates.md
               - webknossos-py/examples/calculate_segment_sizes.md
               - webknossos-py/examples/download_segments.md
+              - webknossos-py/examples/load_annotation_from_file.md
+              - webknossos-py/examples/skeleton_path_length.md
           - Administration Examples:
               - webknossos-py/examples/user_times.md
               - webknossos-py/examples/annotation_project_administration.md

docs/src/webknossos-py/examples/load_annotation_from_file.md

@@ -0,0 +1,11 @@
+# Annotation File to OME-TIFF
+
+This example shows how to turn a volume annotation downloaded from WEBKNOSSOS into a OME-TIFF. When [manually downloading a WEBKNOSSOS annotation](/webknossos/export.html#data-export-through-the-ui) through the UI you end up with a ZIP file containing the volume segmentation in the WKW-format (and potentially any skeleton annotation).
+
+As an alternative to manually downloading annotation files, have a look at streaming the data directly from the remote serve, e.g., in [this example](./download_segments.html).
+
+```python
+--8<--
+webknossos/examples/load_annotation_from_file.py
+--8<--
+```

docs/src/webknossos-py/examples/skeleton_path_length.md

@@ -0,0 +1,9 @@
+# Skeleton Path Length
+
+This example shows how to downloaded a skeleton annotation from WEBKNOSSOS and calcuate the total path length along all edges of each tree. 
+
+```python
+--8<--
+webknossos/examples/skeleton_path_length.py
+--8<--
+```

webknossos/examples/load_annotation_from_file.py

@@ -0,0 +1,37 @@
+from pathlib import Path
+
+from tifffile import imwrite
+
+import webknossos as wk
+
+# Specify a bounding box for cutouts
+# (topleft_x, topleft_y, topleft_z), (width, height, depth)
+BOUNDING_BOX = wk.BoundingBox((0, 0, 0), (500, 500, 50))
+
+
+def load_annotation(annotation_file: Path) -> None:
+    # Read the WEBKNOSSOS annotation file (a zipped WKW)
+    annotation = wk.Annotation.load(annotation_file)
+
+    # Treat it as a regular WK volume layer
+    with annotation.temporary_volume_layer_copy() as segmentation_layer:
+        # Do any standard layer operation, e.g. reading a cutout as a numpy array
+        mag_view = segmentation_layer.get_finest_mag()
+        segments = mag_view.read(absolute_bounding_box=BOUNDING_BOX)
+
+        # Write segmentation IDs to an OME Tiff file
+        imwrite(
+            "segmentation.ome.tiff",
+            segments.T,  # note, the tiff lib use different channel order
+            ome=True,
+            metadata={
+                "axes": "ZYXC",
+            },
+        )
+
+
+if __name__ == "__main__":
+    # Path to annotation file on your computer
+    ANNOTATION_FILE = Path("my_annotation_file.zip")
+
+    load_annotation(ANNOTATION_FILE)

webknossos/examples/skeleton_path_length.py

@@ -0,0 +1,55 @@
+from typing import Tuple
+
+import numpy as np
+
+import webknossos as wk
+
+
+def calculate_path_length(annotation_url: str, auth_token: str) -> None:
+    with wk.webknossos_context(token=auth_token):
+        # Download a annotation directly from the WEBKNOSSOS server
+        annotation = wk.Annotation.download(
+            annotation_url,
+        )
+
+        skeleton = annotation.skeleton
+        voxel_size = annotation.voxel_size
+
+    # Iterate over all the tree in a skeleton and calculate their path length
+    for tree in skeleton.flattened_trees():
+        path_length = calculate_path_length_for_tree(tree, voxel_size)
+
+        # Log the results :-)
+        print(f"Tree {tree.name} has a path length of {path_length:.2f} nm")
+
+
+def calculate_path_length_for_tree(
+    tree: wk.Tree, voxel_size: Tuple[float, float, float]
+) -> float:
+    # Auxillary method calculate the maximum path length of a given tree
+    # Assumes that the annotation does not contain any cycles
+
+    assert (
+        len(tree.nodes) > 1
+    ), "Each tree should have at least two nodes to calculate the path length"
+    result = 0
+
+    # Iterate over all edges
+    for source_node, target_node in tree.edges:
+        diff_vector = np.array(source_node.position) - np.array(target_node.position)
+        scaled_diff_vector = diff_vector * voxel_size
+        edge_length = np.sqrt(scaled_diff_vector.dot(scaled_diff_vector))
+        result += edge_length
+
+    return result
+
+
+if __name__ == "__main__":
+    # Authentication and API token for your account
+    # Get it at https://webknossos.org/auth/token
+    TOKEN = "YOUR-token"
+
+    # A WEBKNOSOS URL containing the skeleton annotation
+    ANNOTATION_URL = "https://webknossos.org/annotations/12345678"
+
+    calculate_path_length(ANNOTATION_URL, TOKEN)

webknossos/tests/example_files/l4dense_motta_et_al_demo_v2__explorational.zip

@@ -326,3 +326,25 @@ def test_download_tiff_stack() -> None:
             len(list(output_path.iterdir()))
             == mag_view.bounding_box.size.z / mag_view.mag.z
         )
+
+
+@pytest.mark.block_network(allowed_hosts=[".*"])
+@pytest.mark.vcr(ignore_hosts=["webknossos.org", "data-humerus.webknossos.org"])
+def test_skeleton_path_length() -> None:
+    from examples.skeleton_path_length import calculate_path_length
+
+    # Public skeleton annotation by MH Lab
+    annotation_id = "https://webknossos.org/annotations/62b191ef010000e80033e7c0"
+    token = "123"
+    calculate_path_length(annotation_id, token)
+
+
+def test_load_annotation_file() -> None:
+    from examples.load_annotation_from_file import load_annotation
+
+    annotation_file = Path(
+        "./tests/example_files/l4dense_motta_et_al_demo_v2__explorational.zip"
+    ).resolve()
+
+    with tmp_cwd():
+        load_annotation(annotation_file)