removed ch10 references, no more support

Author: wei-qlu

python/lib/sift_client/_internal/low_level_wrappers/data_imports.py

@@ -14,7 +14,6 @@
 
 from sift_client._internal.low_level_wrappers.base import LowLevelClientBase
 from sift_client.sift_types.data_import import (
-    Ch10ImportConfig,
     CsvImportConfig,
     Hdf5ImportConfig,
     ImportConfig,
@@ -41,8 +40,6 @@ def _set_config_on_request(
         config, (ParquetFlatDatasetImportConfig, ParquetSingleChannelPerRowImportConfig)
     ):
         request.parquet_config.CopyFrom(config._to_proto())
-    elif isinstance(config, Ch10ImportConfig):
-        request.ch10_config.CopyFrom(config._to_proto())
     elif isinstance(config, TdmsImportConfig):
         request.tdms_config.CopyFrom(config._to_proto())
     elif isinstance(config, Hdf5ImportConfig):

python/lib/sift_client/resources/data_imports.py

@@ -11,7 +11,6 @@
 from sift_client.sift_types.channel import ChannelDataType
 from sift_client.sift_types.data_import import (
     EXTENSION_TO_DATA_TYPE_KEY,
-    Ch10ImportConfig,
     CsvImportConfig,
     DataTypeKey,
     ImportConfig,
@@ -63,7 +62,7 @@ async def import_from_path(
 
         When ``config`` is omitted the file format is auto-detected via
         ``detect_config`` (CSV and Parquet only). For other formats
-        (TDMS, HDF5, CH10), ``config`` must be provided.
+        (TDMS and HDF5), ``config`` must be provided.
         When ``asset`` is provided it overrides the config value;
         otherwise the config's ``asset_name`` is used.
         If neither ``run`` nor ``run_name`` is provided (and none is
@@ -134,14 +133,10 @@ async def import_from_path(
         if run is not None and run_name is not None:
             raise ValueError("'run' and 'run_name' are mutually exclusive.")
         if run is not None:
-            if isinstance(config, Ch10ImportConfig):
-                raise ValueError(
-                    "'run' is not supported for Ch10ImportConfig. Use 'run_name' instead."
-                )
             config.run_id = run._id_or_error if isinstance(run, Run) else run
         elif run_name is not None:
             config.run_name = run_name
-        elif not config.run_name and (isinstance(config, Ch10ImportConfig) or not config.run_id):
+        elif not config.run_name and not config.run_id:
             config.run_name = path.name
 
         if isinstance(
@@ -204,9 +199,8 @@ async def detect_config(
         provided.
 
         Only CSV and Parquet files are currently supported for auto-detection.
-        For other formats (TDMS, HDF5, CH10), create the config manually
-        using ``TdmsImportConfig``, ``Hdf5ImportConfig``, or
-        ``Ch10ImportConfig``.
+        For other formats (TDMS, HDF5), create the config manually
+        using ``TdmsImportConfig`` or ``Hdf5ImportConfig``.
 
         For CSV files, the server scans the first two rows for an optional
         JSON metadata row. Row 1 is checked first; row 2 is checked only

python/lib/sift_client/sift_types/data_import.py

@@ -8,7 +8,6 @@
 from pydantic import BaseModel, model_validator
 from sift.common.type.v1.channel_config_pb2 import ChannelConfig as ChannelConfigProto
 from sift.data_imports.v2.data_imports_pb2 import (
-    DATA_TYPE_KEY_CH10,
     DATA_TYPE_KEY_CSV,
     DATA_TYPE_KEY_HDF5,
     DATA_TYPE_KEY_PARQUET_FLATDATASET,
@@ -19,7 +18,6 @@
     PARQUET_COMPLEX_TYPES_IMPORT_MODE_IGNORE,
     PARQUET_COMPLEX_TYPES_IMPORT_MODE_STRING,
 )
-from sift.data_imports.v2.data_imports_pb2 import Ch10Config as Ch10ConfigProto
 from sift.data_imports.v2.data_imports_pb2 import CsvConfig as CsvConfigProto
 from sift.data_imports.v2.data_imports_pb2 import CsvTimeColumn as CsvTimeColumnProto
 from sift.data_imports.v2.data_imports_pb2 import Hdf5Config as Hdf5ConfigProto
@@ -70,14 +68,12 @@ class DataTypeKey(Enum):
     PARQUET_FLATDATASET = DATA_TYPE_KEY_PARQUET_FLATDATASET
     PARQUET_SINGLE_CHANNEL_PER_ROW = DATA_TYPE_KEY_PARQUET_SINGLE_CHANNEL_PER_ROW
     TDMS = DATA_TYPE_KEY_TDMS
-    CH10 = DATA_TYPE_KEY_CH10
     HDF5 = DATA_TYPE_KEY_HDF5
 
 
 EXTENSION_TO_DATA_TYPE_KEY: dict[str, DataTypeKey] = {
     ".csv": DataTypeKey.CSV,
     ".tdms": DataTypeKey.TDMS,
-    ".ch10": DataTypeKey.CH10,
     ".h5": DataTypeKey.HDF5,
     ".hdf5": DataTypeKey.HDF5,
 }
@@ -537,23 +533,6 @@ def _from_proto(
         )
 
 
-class Ch10ImportConfig(ImportConfigBase):
-    """Configuration for importing a CH10 file.
-
-    Attributes:
-        scale_values: Whether to apply EU (engineering unit) scaling to channel values.
-    """
-
-    scale_values: bool = False
-
-    def _to_proto(self) -> Ch10ConfigProto:
-        return Ch10ConfigProto(
-            asset_name=self.asset_name,
-            run_name=self.run_name or "",
-            scale_values=self.scale_values,
-        )
-
-
 class TdmsImportConfig(ImportConfigBase):
     """Configuration for importing a TDMS file.
 
@@ -655,7 +634,6 @@ def _to_proto(self) -> Hdf5ConfigProto:
     CsvImportConfig,
     ParquetFlatDatasetImportConfig,
     ParquetSingleChannelPerRowImportConfig,
-    Ch10ImportConfig,
     TdmsImportConfig,
     Hdf5ImportConfig,
 ]