30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
from typing import Dict
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import pandas as pd
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from processing.ner.formats import BaseNameFormatter
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class PositionFlippedFormatter(BaseNameFormatter):
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def transform(self, row: pd.Series) -> Dict:
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native_parts = self.parse_native_components(row["probable_native"])
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surname = row["probable_surname"] if pd.notna(row["probable_surname"]) else ""
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# Flip order: surname + native components
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full_name = f"{surname} {row['probable_native']}".strip()
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return {
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"name": full_name,
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"probable_native": row["probable_native"],
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"identified_name": row["probable_native"],
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"probable_surname": surname,
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"identified_surname": surname,
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"ner_entities": str(self.create_ner_tags(full_name, native_parts, surname)),
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"transformation_type": self.transformation_type,
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**self.compute_numeric_features(full_name),
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}
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@property
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def transformation_type(self) -> str:
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return "position_flipped"
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