37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
import json
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from pathlib import Path
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import numpy as np
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import pandas as pd
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def to_int(x):
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"""Convert a hex string or integer to int, returning NaN on failure."""
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if isinstance(x, (int, np.integer)):
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return int(x)
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if isinstance(x, str):
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try:
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return int(x, 16)
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except ValueError:
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return np.nan
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return np.nan
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def extract_id(row: pd.Series) -> str:
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"""Extracts PGN from metadata or falls back to CAN ID."""
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meta = row.get('j1939_metadata')
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if pd.isna(meta):
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return f"ID: {row['ID']}"
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if isinstance(meta, str):
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try:
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meta = json.loads(meta)
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except json.JSONDecodeError:
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return f"ID: {row['ID']}"
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if isinstance(meta, dict) and 'PGN' in meta:
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return f"PGN: {meta['PGN']}"
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return f"ID: {row['ID']}"
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def load_data(file_path: Path) -> pd.DataFrame:
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"""Loads Parquet file and adds an Identifier column."""
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df = pd.read_parquet(file_path)
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df['Identifier'] = df.apply(extract_id, axis=1)
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return df
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