group setter added

pyproject.toml

 [project]
 name = "h5schemas"
-version = "0.1.20"
+version = "0.1.21"
 description = "Add your description here"
 readme = "README.md"
 authors = [

src/h5schemas/h5_types/base_dataset.py

@@ -9,12 +9,24 @@ class BaseDataset:
     maximum: int | float | None = None
     dtype: str | np.float64 | np.float32 | np.uint16 | None = None
 
+    _group: str | None = None
+
     def __init__(self, definition: GroupDefinition):
         self.path = definition.path
         self.dataset_name = definition.path.rsplit("/")[-1]
         self.group = definition.path[1 : -len(self.dataset_name)]
         self.description = definition.description
 
+    @property
+    def group(self) -> str | None:
+        return self._group
+    
+    @group.setter
+    def group(self, group_value: str | None):
+        if len(group_value) == 0:
+            group_value = '/'
+        self._group = group_value
+
     @classmethod
     def with_file(cls, definition: GroupDefinition, h5_file: h5py.File):
         instance = cls(definition)

src/h5schemas/h5_types/image.py

@@ -11,8 +11,6 @@ class ImageDataset(BaseDataset):
         super().__init__(definition)
 
     def add_to_file(self, h5_file: h5py.File):
-        if len(self.group) == 0:
-            self.group = '/'
         group = h5_file.require_group(self.group)
         self.dataset = group.create_dataset(
             name=self.dataset_name,

src/h5schemas/header/add_header.py

@@ -3,6 +3,7 @@ from thd_json import header
 from h5schemas.scan_schema import open_schema
 from h5schemas.initialize_dataset import initialize_dataset
 from datetime import datetime
+import numpy as np
 
 
 def init_header(
@@ -28,17 +29,22 @@ def check_uuid_time_stamp(uuid: str | None = None, timestamp: int | None = None)
 
 
 def add_header_sample(
-    h5_file: File | Group, uuid: str | None, timestamp: float | None = None
+    h5_file: File | Group, uuid: str | np.ndarray | None, timestamp: float | np.ndarray | None = None
 ):
     uuid, timestamp = check_uuid_time_stamp(uuid, timestamp)
 
+    if isinstance(uuid, np.ndarray):
+        uuid_shape = uuid.shape[0]
+    else:
+        uuid_shape = 1
+
     dst = h5_file["uuid"]
-    dst.resize((dst.shape[0] + 1,))
-    dst[-1,] = uuid
+    dst.resize((dst.shape[0] + uuid_shape,))
+    dst[-uuid_shape,] = uuid
 
     dst = h5_file["timestamp"]
-    dst.resize((dst.shape[0] + 1,))
-    dst[-1,] = timestamp
+    dst.resize((dst.shape[0] + uuid_shape,))
+    dst[-uuid_shape,] = timestamp
 
 
 def uuid_time_from_json_header(json_header_obj: header.JsonHeader) -> tuple[str, float]:
@@ -49,7 +55,7 @@ def uuid_time_from_json_header(json_header_obj: header.JsonHeader) -> tuple[str,
 
 if __name__ == "__main__":
     from h5schemas.header.overwrite_header import overwrite_header_at_index
-    test_file = File("./examples/header.h5", "a")
+    test_file = File("./examples/header.h5", "w")
     init_header(test_file)
 
     add_header_sample(test_file, None)