Implement wrapper classes for feature parity with vitessce-python
This PR implements the missing wrapper classes to achieve feature parity with the Python vitessce-python library, as requested in the issue. The implementation adds support for all the wrapper classes listed in the Python wrappers.py file.
New Wrapper Classes Added
JsonWrapper
A generic JSON file wrapper that supports any data type through a data_type parameter:
wrapper <- JsonWrapper$new(
json_path = "data.json",
data_type = "cells",
options = list(delimiter = ","),
coordination_values = list(obsType = "cell")
)
Enhanced OME-TIFF Wrappers
-
ImageOmeTiffWrapper: Enhanced image wrapper for spatialBeta/layerControllerBeta views with coordinate transformations and coordination values support -
ObsSegmentationsOmeTiffWrapper: Segmentation mask wrapper withobs_types_from_channel_namesparameter support
OME-NGFF Zarr Wrappers
-
ImageOmeZarrWrapper: OME-NGFF Zarr image wrapper for new visualization views -
ObsSegmentationsOmeZarrWrapper: OME-NGFF Zarr segmentation wrapper
SpatialDataWrapper
A comprehensive wrapper for SpatialData objects that extends AnnDataWrapper:
wrapper <- SpatialDataWrapper$new(
sdata_path = "data.sdata.zarr",
image_path = "images/image1",
coordinate_system = "global",
obs_spots_path = "shapes/spots",
table_path = "tables/table"
)
Key Features
-
File Type Compatibility: All file types match the Python implementation exactly (
image.ome-tiff,obsSegmentations.ome-zarr,spatialdata.zarr, etc.) - Parameter Validation: Consistent error handling following existing R package patterns
- Remote/Local Support: All wrappers support both local files and remote URLs
- Comprehensive Testing: Full test coverage for all new wrapper classes
- SpatialData Schema: Specialized schema generation methods for SpatialData-specific elements
Files Added/Modified
-
R/wrappers_json.R- JsonWrapper implementation -
R/wrappers_zarr.R- OME-NGFF Zarr wrapper implementations -
R/wrappers_spatialdata.R- SpatialDataWrapper implementation -
R/wrappers_images.R- Added new OME-TIFF wrapper classes - Comprehensive test files for all new functionality
The implementation maintains full backward compatibility while providing the same wrapper class functionality available in the Python vitessce library.
Fixes #101.
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