feat: Add global locale support for number parsing

pyproject.toml

@@ -47,6 +47,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
+  "babel >= 2.9.0",
   "cattrs >= 23.2.0",
   "chardet >= 5.2.0",
   "defusedxml >= 0.7.1",

src/allotropy/parsers/agilent_gen5/agilent_gen5_structure.py

@@ -77,7 +77,7 @@
     DataSource,
     Referenceable,
 )
-from allotropy.parsers.utils.pandas import read_csv, SeriesData
+from allotropy.parsers.utils.pandas import read_csv, series_to_float_list, SeriesData
 from allotropy.parsers.utils.uuids import random_uuid_str
 from allotropy.parsers.utils.values import (
     try_float,
@@ -1246,7 +1246,8 @@ def create_spectrum_results(
     data = read_csv(StringIO("\n".join(wavelengths_sections)), sep="\t")
 
     try:
-        wavelengths = data["Wavelength"].astype(float).tolist()
+        # Use series_to_float_list for locale support
+        wavelengths = series_to_float_list(data["Wavelength"], "wavelength")
     except (ValueError, KeyError):
         return [], []
 

src/allotropy/parsers/appbio_absolute_q/appbio_absolute_q_structure.py

@@ -42,7 +42,7 @@
     NEGATIVE_ZERO,
     NOT_APPLICABLE,
 )
-from allotropy.parsers.utils.pandas import map_rows, SeriesData
+from allotropy.parsers.utils.pandas import map_rows, series_to_float_list, SeriesData
 from allotropy.parsers.utils.uuids import random_uuid_str
 
 
@@ -233,7 +233,7 @@ def create_cube_well_items(well_data: pd.DataFrame) -> list[WellItem]:
         cycle_count = DataCubeComponent(
             FieldComponentDatatype.integer, "cycle count", "#"
         )
-        index_column = well_data["Index"].astype(float).tolist()
+        index_column = series_to_float_list(well_data["Index"], "index")
 
         data = SeriesData(well_data.iloc[0])
         well_items: list[WellItem] = []
@@ -291,7 +291,9 @@ def create_cube_well_items(well_data: pd.DataFrame) -> list[WellItem]:
                             )
                         ],
                         dimensions=[index_column],
-                        measures=[well_data[dye_setting].astype(float).tolist()],
+                        measures=[
+                            series_to_float_list(well_data[dye_setting], "fluorescence")
+                        ],
                     ),
                     passive_reference_dye_data_cube=DataCube(
                         label="passive reference dye",
@@ -305,7 +307,10 @@ def create_cube_well_items(well_data: pd.DataFrame) -> list[WellItem]:
                         ],
                         dimensions=[index_column],
                         measures=[
-                            well_data[passive_dye_settings[0]].astype(float).tolist()
+                            series_to_float_list(
+                                well_data[passive_dye_settings[0]],
+                                "passive_fluorescence",
+                            )
                         ],
                     ),
                     errors=errors,

src/allotropy/parsers/cytiva_biacore_t200_control/cytiva_biacore_t200_control_data_creator.py

@@ -47,6 +47,7 @@
 from allotropy.parsers.utils.calculated_data_documents.definition import (
     CalculatedDocument,
 )
+from allotropy.parsers.utils.pandas import series_to_float_list
 from allotropy.parsers.utils.values import quantity_or_none, try_float_or_none
 from allotropy.types import DictType
 
@@ -62,8 +63,10 @@ def _get_sensorgram_datacube(sensorgram_data: pd.DataFrame) -> DataCube:
         structure_measures=[
             DataCubeComponent(FieldComponentDatatype.double, "resonance", "RU")
         ],
-        dimensions=[sensorgram_data["Time (s)"].astype(float).to_list()],
-        measures=[sensorgram_data["Sensorgram (RU)"].astype(float).to_list()],
+        dimensions=[series_to_float_list(sensorgram_data["Time (s)"], "time")],
+        measures=[
+            series_to_float_list(sensorgram_data["Sensorgram (RU)"], "sensorgram")
+        ],
     )
 
 

src/allotropy/parsers/luminex_xponent/luminex_xponent_reader.py

@@ -143,10 +143,13 @@ def build_section(
 
         if metric_token == "COUNT":  # noqa: S105
             analyte_cols = analyte_labels
-            # Convert each analyte column to numeric, coercing errors to NaN then filling with 0.0
+            # Convert each analyte column to numeric, coercing errors to 0.0
+            # Use try_float_or_none for locale support, then fill None with 0.0
             converted = cast(
                 pd.DataFrame,
-                out[analyte_cols].apply(pd.to_numeric, errors="coerce").fillna(0.0),
+                out[analyte_cols]
+                .apply(lambda col: col.apply(try_float_or_none))
+                .fillna(0.0),
             )
             out["Total Events"] = converted.sum(axis=1)
         else:

src/allotropy/parsers/moldev_softmax_pro/softmax_pro_structure.py

@@ -522,7 +522,9 @@ def create(reader: CsvReader, header: PlateHeader) -> PlateRawData:
         data = get_plate_dataframe(reader, header, columns=columns)
 
         # get temperature and elapsed time (kinetic) from the first column of the first row with value
-        first_row_idx = int(pd.to_numeric(data.first_valid_index()))
+        first_row_idx = int(
+            try_float(str(data.first_valid_index()), "first_valid_index")
+        )
         temperature = try_non_nan_float_or_none(str(data.iloc[first_row_idx, 1]))
         elapsed_time = None
         if pd.notna(elapsed := data.iloc[first_row_idx, 0]):
@@ -592,7 +594,9 @@ def create(reader: CsvReader, header: PlateHeader) -> SpectrumPlateRawData:
         wavelength_data: list[PlateWavelengthData] = []
         for wavelength in header.wavelengths:
             data = get_plate_dataframe(reader, header, columns=columns)
-            first_row_idx = int(pd.to_numeric(data.first_valid_index()))
+            first_row_idx = int(
+                try_float(str(data.first_valid_index()), "first_valid_index")
+            )
             temperature = try_non_nan_float_or_none(str(data.iloc[first_row_idx, 1]))
             wavelength_data.append(
                 PlateWavelengthData.create(

src/allotropy/parsers/roche_cedex_bioht/roche_cedex_bioht_reader.py

@@ -15,11 +15,14 @@
     SAMPLE_ROLE_TYPES,
 )
 from allotropy.parsers.utils.pandas import read_csv, SeriesData
+from allotropy.parsers.utils.values import try_float_or_none
 from allotropy.types import IOType
 
 
 def to_num(data: pd.Series[Any]) -> pd.Series[Any]:
-    return pd.to_numeric(data, errors="coerce").replace(np.nan, None)
+    # try_float_or_none returns None for invalid values, but pandas converts None to np.nan
+    # So we need to explicitly replace np.nan with None, just like the original pd.to_numeric did
+    return data.apply(try_float_or_none).replace(np.nan, None)
 
 
 class RocheCedexBiohtReader:

src/allotropy/parsers/thermo_fisher_genesys30/thermo_fisher_genesys30_structure.py

@@ -22,7 +22,7 @@
 from allotropy.exceptions import AllotropeConversionError
 from allotropy.parsers.constants import NOT_APPLICABLE
 from allotropy.parsers.thermo_fisher_genesys30 import constants
-from allotropy.parsers.utils.pandas import SeriesData
+from allotropy.parsers.utils.pandas import series_to_float_list, SeriesData
 from allotropy.parsers.utils.uuids import random_uuid_str
 
 
@@ -72,7 +72,7 @@ def create_measurement_groups(
                             )
                         ],
                         dimensions=[data["wavelength(nm)"].tolist()],
-                        measures=[data["ABS"].astype(float).tolist()],
+                        measures=[series_to_float_list(data["ABS"], "absorbance")],
                     ),
                     device_control_custom_info={
                         "operating minimum": {

src/allotropy/parsers/thermo_skanit/thermo_skanit_structure.py

@@ -26,7 +26,7 @@
 )
 from allotropy.parsers.utils.pandas import df_to_series_data, parse_header_row
 from allotropy.parsers.utils.uuids import random_uuid_str
-from allotropy.parsers.utils.values import try_float_or_none
+from allotropy.parsers.utils.values import try_float, try_float_or_none
 
 MEASUREMENT_TYPES = {
     MeasurementType.ULTRAVIOLET_ABSORBANCE: "Absorbance",
@@ -402,7 +402,10 @@ def _set_headers(df: pd.DataFrame) -> pd.DataFrame:
         )
         df = df[df.columns[valid_columns]]
         # Cast row numbers to int (float first to handle decimals, e.g. 1.0)
-        df.columns = df.columns.astype(float).astype(int)
+        # Use try_float for locale support
+        df.columns = pd.Index(  # type: ignore[assignment]
+            [int(try_float(str(col), "column_name")) for col in df.columns]
+        )
         return df
 
     @staticmethod
@@ -442,7 +445,9 @@ def identify_data_and_sample_dfs(
                         ]
                         wavelength_data[current_wavelength] = data_df
 
-                    current_wavelength = float(wavelength_match.group(1))
+                    current_wavelength = try_float(
+                        wavelength_match.group(1), "wavelength"
+                    )
                     current_data_section = []
                     reading_data = False
                     reading_samples = False

src/allotropy/parsers/utils/locale_context.py

@@ -0,0 +1,40 @@
+"""Context management for locale-aware number parsing.
+
+This module provides utilities to set and manage the current locale context
+for number parsing throughout the parsing pipeline.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Iterator
+from contextlib import contextmanager
+
+from allotropy.parsers.utils.values import _current_locale
+
+
+@contextmanager
+def set_locale_context(locale: str | None) -> Iterator[None]:
+    """Context manager to set the locale for number parsing.
+
+    Args:
+        locale: The locale string (e.g., "en_US", "de_DE", "fr_FR") or None for default
+
+    Example:
+        >>> with set_locale_context("de_DE"):
+        ...     # All try_float() calls within this context will use German locale
+        ...     value = try_float("1.234,56", "value")  # Parses as 1234.56
+    """
+    token = _current_locale.set(locale)
+    try:
+        yield
+    finally:
+        _current_locale.reset(token)
+
+
+def get_current_locale() -> str | None:
+    """Get the currently set locale for number parsing.
+
+    Returns:
+        The current locale string or None if not set
+    """
+    return _current_locale.get()