fix: Recognize Evaluation-Kinetics sheet and Single Cycle Kinetics analyte

The parser failed to find kinetics data (ka, kd, KD, Rmax) when the
sheet was named "Evaluation-Kinetics" (no spaces around dash) instead
of "Evaluation - Kinetics". Also, for Single Cycle Kinetics experiments
the analyte identity is in "Single cycle kinetics 1 Solution" rather
than "Analyte 1 Solution", causing key mismatches in the kinetics
lookup.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: nathan-stender

src/allotropy/parsers/cytiva_biacore_insight/cytiva_biacore_insight_structure.py

@@ -207,6 +207,9 @@ def _get_regeneration_custom_info(
     return regen_info
 
 
+EVALUATION_KINETICS_SHEET_NAMES = ("Evaluation - Kinetics", "Evaluation-Kinetics")
+
+
 def _get_table_from_dataframe(df: pd.DataFrame, split_on: str) -> pd.DataFrame:
     data_table = drop_df_rows_while(df, lambda row: row[0] != split_on)
     return parse_header_row(
@@ -518,17 +521,20 @@ class EvaluationKinetics:
 
     def __init__(self, kinetics_table: pd.DataFrame) -> None:
         def _get_key(row: pd.Series[Any]) -> str:
-            # Handle both "Channel" and "Flow cell" columns
             channel_or_flowcell = row.get("Channel", row.get("Flow cell", ""))
-            # For affinity data, we might have multiple capture solutions
-            # Build key with all available capture solutions
             capture_solution = row.get("Capture 1 Solution", "")
-            # Handle None, NaN, or pd.NA values for capture_solution
             if capture_solution is None or (
                 isinstance(capture_solution, float) and np.isnan(capture_solution)
             ):
                 capture_solution = ""
-            analyte_solution = row.get("Analyte 1 Solution", "")
+            analyte_solution = row.get(
+                "Single cycle kinetics 1 Solution",
+                row.get("Analyte 1 Solution", ""),
+            )
+            if analyte_solution is None or (
+                isinstance(analyte_solution, float) and np.isnan(analyte_solution)
+            ):
+                analyte_solution = ""
             return f"{channel_or_flowcell} {capture_solution} {analyte_solution}"
 
         self._data = {}
@@ -831,7 +837,9 @@ def create(
             capture_solution = _first_not_null_or_none(
                 channel_data["Capture 1 Solution"]
             )
-        analyte_solution = first_row_data.get(str, "Analyte 1 Solution")
+        analyte_solution = first_row_data.get(
+            str, "Single cycle kinetics 1 Solution"
+        ) or first_row_data.get(str, "Analyte 1 Solution")
 
         # Get calculated concentration from Evaluation sheets if available
         # Use the first flow cell from channel_data to look up the concentration
@@ -896,9 +904,12 @@ def create(reader: CytivaBiacoreInsightReader) -> Data:
 
         # OPTIMIZATION: Parse evaluation/affinity data once, not per cycle
         evaluation_kinetics = None
-        if "Evaluation - Kinetics" in reader.data:
+        kinetics_sheet = next(
+            (s for s in EVALUATION_KINETICS_SHEET_NAMES if s in reader.data), None
+        )
+        if kinetics_sheet is not None:
             evaluation_kinetics_table = _get_table_from_dataframe(
-                reader.data["Evaluation - Kinetics"], split_on="Group"
+                reader.data[kinetics_sheet], split_on="Group"
             )
             evaluation_kinetics = EvaluationKinetics(evaluation_kinetics_table)
         else:
@@ -986,11 +997,13 @@ def create_measurements_for_cycle(
         cycle_data = report_point_table[report_point_table["Cycle"] == cycle_number]
 
         # Handle optional kinetics/affinity data
-        # Try "Evaluation - Kinetics" first, then look for "Affinity" sheets
         evaluation_kinetics = None
-        if "Evaluation - Kinetics" in reader.data:
+        kinetics_sheet = next(
+            (s for s in EVALUATION_KINETICS_SHEET_NAMES if s in reader.data), None
+        )
+        if kinetics_sheet is not None:
             evaluation_kinetics_table = _get_table_from_dataframe(
-                reader.data["Evaluation - Kinetics"], split_on="Group"
+                reader.data[kinetics_sheet], split_on="Group"
             )
             evaluation_kinetics = EvaluationKinetics(evaluation_kinetics_table)
         else:
@@ -999,7 +1012,6 @@ def create_measurements_for_cycle(
                 sheet for sheet in reader.data.keys() if sheet.startswith("Affinity")
             ]
             if affinity_sheets:
-                # Use the first Affinity sheet found
                 affinity_table = _get_table_from_dataframe(
                     reader.data[affinity_sheets[0]], split_on="Group"
                 )