Refactor deprecated code

src/{ecg_processing.py → deprecated/ecg_processing.py}

@@ -3,12 +3,12 @@ import pandas as pd
 
 import neurokit2 as nk
 
-from .ecg_feature_extraction import get_hrv_features, normalize_features
-from .utils import cut_out_window, create_windows
+from src.deprecated.ecg_feature_extraction import get_hrv_features, normalize_features
+from src.deprecated.utils import cut_out_window, create_windows
 
 pd.set_option('display.float_format', '{:.6f}'.format)
 
-from .logger import setup_logger
+from src.logger import setup_logger
 logger = setup_logger(__name__)
 
 

src/{pipeline.py → deprecated/pipeline.py}

@@ -1,9 +1,6 @@
-import pandas as pd
-from typing import Dict, List, Union
-
-from src.conversion import csv_to_pandas
-from src.ecg_processing import process_batch
-from src.pydantic_models import ECGConfig, ECGSample
+from src.deprecated.conversion import csv_to_pandas
+from src.deprecated.ecg_processing import process_batch
+from src.deprecated.pydantic_models import ECGConfig, ECGSample
 
 
 class PreTrainedPipeline():

src/{pipeline_wrapper.py → deprecated/pipeline_wrapper.py}

@@ -1,8 +1,8 @@
 from transformers import Pipeline
 
-from src.conversion import csv_to_pandas
-from src.pydantic_models import ECGConfig, ECGSample
-from src.ecg_processing import process_batch
+from src.deprecated.conversion import csv_to_pandas
+from src.deprecated.pydantic_models import ECGConfig, ECGSample
+from src.deprecated.ecg_processing import process_batch
 
 
 class MyPipeline(Pipeline):

src/{pydantic_models.py → deprecated/pydantic_models.py}

@@ -6,7 +6,7 @@ from uuid import UUID, uuid4
 
 from pydantic import BaseModel, Field, model_validator
 
-from .configs import SignalEnum, WindowSlicingMethodEnum, NormalizationMethodEnum
+from src.deprecated.configs import SignalEnum, WindowSlicingMethodEnum, NormalizationMethodEnum
 
 
 class ECGSample(BaseModel):