Allow "value" in DatasetSpec (#1143)

CHANGELOG.md

@@ -5,6 +5,7 @@
 ### Enhancements
 - Warn when unexpected keys are present in specs. @rly [#1134](https://github.com/hdmf-dev/hdmf/pull/1134)
 - Support appending to zarr arrays. @mavaylon1 [#1136](https://github.com/hdmf-dev/hdmf/pull/1136)
+- Support specifying "value" key in DatasetSpec. @rly [#1143](https://github.com/hdmf-dev/hdmf/pull/1143)
 - Add support for numpy 2. @rly [#1139](https://github.com/hdmf-dev/hdmf/pull/1139)
 
 ### Bug fixes

src/hdmf/spec/spec.py

@@ -648,6 +648,7 @@ def build_const_args(cls, spec_dict):
     {'name': 'linkable', 'type': bool, 'doc': 'whether or not this group can be linked', 'default': True},
     {'name': 'quantity', 'type': (str, int), 'doc': 'the required number of allowed instance', 'default': 1},
     {'name': 'default_value', 'type': None, 'doc': 'a default value for this dataset', 'default': None},
+    {'name': 'value', 'type': None, 'doc': 'a fixed value for this dataset', 'default': None},
     {'name': 'data_type_def', 'type': str, 'doc': 'the data type this specification represents', 'default': None},
     {'name': 'data_type_inc', 'type': (str, 'DatasetSpec'),
      'doc': 'the data type this specification extends', 'default': None},
@@ -662,7 +663,8 @@ class DatasetSpec(BaseStorageSpec):
 
     @docval(*_dataset_args)
     def __init__(self, **kwargs):
-        doc, shape, dims, dtype, default_value = popargs('doc', 'shape', 'dims', 'dtype', 'default_value', kwargs)
+        doc, shape, dims, dtype = popargs('doc', 'shape', 'dims', 'dtype', kwargs)
+        default_value, value = popargs('default_value', 'value', kwargs)
         if shape is not None:
             self['shape'] = shape
         if dims is not None:
@@ -685,6 +687,8 @@ def __init__(self, **kwargs):
         super().__init__(doc, **kwargs)
         if default_value is not None:
             self['default_value'] = default_value
+        if value is not None:
+            self['value'] = value
         if self.name is not None:
             valid_quant_vals = [1, 'zero_or_one', ZERO_OR_ONE]
             if self.quantity not in valid_quant_vals:
@@ -762,6 +766,11 @@ def default_value(self):
         '''The default value of the dataset or None if not specified'''
         return self.get('default_value', None)
 
+    @property
+    def value(self):
+        '''The fixed value of the dataset or None if not specified'''
+        return self.get('value', None)
+
     @classmethod
     def dtype_spec_cls(cls):
         ''' The class to use when constructing DtypeSpec objects

tests/unit/spec_tests/test_dataset_spec.py

@@ -246,6 +246,10 @@ def test_data_type_property_value(self):
                                   data_type_inc=data_type_inc, data_type_def=data_type_def)
                 self.assertEqual(group.data_type, data_type)
 
+    def test_constructor_value(self):
+        spec = DatasetSpec(doc='my first dataset', dtype='int', name='dataset1', value=42)
+        assert spec.value == 42
+
     def test_build_warn_extra_args(self):
         spec_dict = {
             'name': 'dataset1',