Remove source validation from converters and interfaces (#1168)

CHANGELOG.md

@@ -5,6 +5,7 @@
 ## Bug Fixes
 
 ## Features
+* Source validation is no longer performed when initializing interfaces or converters [PR #1168](https://github.com/catalystneuro/neuroconv/pull/1168)
 
 ## Improvements
 

docs/conversion_examples_gallery/behavior/lightningpose.rst

@@ -23,7 +23,6 @@ Convert LightningPose pose estimation data to NWB using :py:class:`~neuroconv.da
     >>> labeled_video_file_path = str(folder_path / "labeled_videos/test_vid_labeled.mp4")
 
     >>> converter = LightningPoseConverter(file_path=file_path, original_video_file_path=original_video_file_path, labeled_video_file_path=labeled_video_file_path, verbose=False)
-    Source data is valid!
     >>> metadata = converter.get_metadata()
     >>> # For data provenance we add the time zone information to the conversion
     >>> session_start_time = metadata["NWBFile"]["session_start_time"]

docs/conversion_examples_gallery/recording/spikeglx.rst

@@ -24,7 +24,6 @@ We can easily convert all data stored in the native SpikeGLX folder structure to
     >>>
     >>> folder_path = f"{ECEPHY_DATA_PATH}/spikeglx/Noise4Sam_g0"
     >>> converter = SpikeGLXConverterPipe(folder_path=folder_path)
-    Source data is valid!
     >>> # Extract what metadata we can from the source files
     >>> metadata = converter.get_metadata()
     >>> # For data provenance we add the time zone information to the conversion

src/neuroconv/basedatainterface.py

@@ -68,8 +68,6 @@ def __init__(self, verbose: bool = False, **source_data):
         self.verbose = verbose
         self.source_data = source_data
 
-        self._validate_source_data(source_data=source_data, verbose=verbose)
-
     def get_metadata_schema(self) -> dict:
         """Retrieve JSON schema for metadata."""
         metadata_schema = load_dict_from_file(Path(__file__).parent / "schemas" / "base_metadata_schema.json")

src/neuroconv/nwbconverter.py

@@ -80,7 +80,6 @@ def _validate_source_data(self, source_data: dict[str, dict], verbose: bool = Tr
     def __init__(self, source_data: dict[str, dict], verbose: bool = True):
         """Validate source_data against source_schema and initialize all data interfaces."""
         self.verbose = verbose
-        self._validate_source_data(source_data=source_data, verbose=self.verbose)
         self.data_interface_objects = {
             name: data_interface(**source_data[name])
             for name, data_interface in self.data_interface_classes.items()