Add dataset symmetry tests for artifact generation and verification

examples/integration_demo.py

@@ -12,12 +12,12 @@
 This is the workflow the cofounder is building toward!
 """
 
-import numpy as np
 import os
 import tempfile
 
-# Our NDI core (Phase 2 implementation)
-from ndi import Document, Query, Ido
+import numpy as np
+
+from ndi import Document, Ido, Query
 from ndi.common import timestamp
 
 # Cofounder's compression library
@@ -52,7 +52,7 @@ def demo_full_workflow():
     sample_rate = 30000
 
     # Simulate neural data: noise + spikes
-    t = np.linspace(0, 1, num_samples)
+    _t = np.linspace(0, 1, num_samples)
     data = np.random.randn(num_samples, num_channels) * 50  # noise
 
     # Add some "spikes"
@@ -138,7 +138,7 @@ def demo_full_workflow():
             q3 = Query('base.name').contains('ephys')
 
             # Combined query
-            q_combined = q1 & q2 & q3
+            _q_combined = q1 & q2 & q3
 
             print(f"   Query 1: {q1.to_searchstructure()}")
             print(f"   Query 2: {q2.to_searchstructure()}")
@@ -225,7 +225,7 @@ def demo_document_features():
     doc = doc.setproperties(**{
         'base.name': 'neural_recording',
     })
-    print(f"3. Set name via setproperties")
+    print("3. Set name via setproperties")
 
     # Document equality (by ID)
     doc2 = Document(doc.document_properties)

pyproject.toml

@@ -36,6 +36,8 @@ classifiers = [
 requires-python = ">=3.10"
 dependencies = [
     "did @ git+https://github.com/VH-Lab/DID-python.git@main",
+    "ndr @ git+https://github.com/VH-lab/NDR-python.git@main",
+    "vhlab-toolbox-python @ git+https://github.com/VH-Lab/vhlab-toolbox-python.git@main",
     "numpy>=1.20.0",
     "networkx>=2.6",
     "jsonschema>=4.0.0",

src/ndi/calculator.py

@@ -16,6 +16,7 @@
 
 from .app import ndi_app
 from .app.appdoc import DocExistsAction, ndi_app_appdoc
+from .util.classname import ndi_matlab_classname
 
 if TYPE_CHECKING:
     from .document import ndi_document
@@ -59,7 +60,7 @@ def __init__(
             path_to_doc_type: Path to the document type schema
         """
         # Initialize ndi_app (session + name from class)
-        name = type(self).__name__
+        name = ndi_matlab_classname(self)
         ndi_app.__init__(self, session=session, name=name)
 
         # Initialize ndi_app_appdoc
@@ -353,6 +354,8 @@ def search_for_calculator_docs(
         # Add dependency constraints
         depends_on = parameters.get("depends_on", [])
         for dep in depends_on:
+            if not isinstance(dep, dict):
+                continue
             dep_name = dep.get("name", "")
             dep_value = dep.get("value", "")
             if dep_value:

src/ndi/daq/metadatareader/__init__.py

@@ -14,6 +14,7 @@
 from typing import Any
 
 from ...ido import ndi_ido
+from ...util.classname import ndi_matlab_classname
 
 
 class ndi_daq_metadatareader(ndi_ido):
@@ -270,7 +271,7 @@ def newdocument(self) -> Any:
         doc = ndi_document(
             "daq/daqmetadatareader",
             **{
-                "daqmetadatareader.ndi_daqmetadatareader_class": self.__class__.__name__,
+                "daqmetadatareader.ndi_daqmetadatareader_class": ndi_matlab_classname(self),
                 "daqmetadatareader.tab_separated_file_parameter": self._tab_separated_file_parameter,
                 "base.id": self.id,
             },