feat: Add XLSX support to MSD Workbench parser (#1154)

## Summary
- Added support for parsing XLSX files in the MSD Workbench parser
- Parser now accepts .xlsx files in addition to existing .csv and .txt
formats
- XLSX files are read from the "Workbench data" sheet using pandas with
openpyxl engine

## Changes
- Updated `SUPPORTED_EXTENSIONS` in `MSDWorkbenchReader` to include
"xlsx"
- Added conditional logic to handle XLSX files differently from CSV/TXT
files
- Created sanitized test XLSX file with fake data (no customer-specific
information)
- Generated expected JSON output for the test file

## Test plan
- [x] Added test case with XLSX file (`test_msd_workbench_xlsx.xlsx`)
- [x] All existing tests continue to pass
- [x] Linting and type checking pass
- [x] Parser correctly reads and processes XLSX files from the
"Workbench data" sheet

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.1 <noreply@anthropic.com>

Author: nathan-stender

src/allotropy/parsers/msd_workbench/msd_workbench_parser.py

@@ -41,6 +41,7 @@ class MSDWorkbenchParser(VendorParser[Data, Model]):
     def create_data(self, named_file_contents: NamedFileContents) -> Data:
         if named_file_contents.extension == "txt":
             return self._process_methodical_mind(named_file_contents)
+        # CSV and XLSX files use MSD Workbench format
         return self._process_msd_workbench(named_file_contents)
 
     def _process_methodical_mind(self, named_file_contents: NamedFileContents) -> Data:

src/allotropy/parsers/msd_workbench/msd_workbench_reader.py

@@ -6,12 +6,20 @@
 
 
 class MSDWorkbenchReader:
-    SUPPORTED_EXTENSIONS = "csv, txt"
+    SUPPORTED_EXTENSIONS = "csv, txt, xlsx"
     plate_data: pd.DataFrame
     well_plate_id: str
 
     def __init__(self, named_file_contents: NamedFileContents) -> None:
-        data = read_csv(named_file_contents.contents)
+        if named_file_contents.extension == "xlsx":
+            # Read the Workbench data sheet from Excel file
+            data = pd.read_excel(
+                named_file_contents.contents,
+                sheet_name="Workbench data",
+                engine="openpyxl",
+            )
+        else:
+            data = read_csv(named_file_contents.contents)
         data = data.where(pd.notna(data), None)
         data.index = pd.Index(data.index.to_series().ffill())
         data.index = data.index.astype(str).str.strip()