68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
import re
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import csv
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from pathlib import Path
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def parse_can_log(input_path: str | Path, out_bus1: str | Path, out_bus2: str | Path) -> None:
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"""
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Parses a CAN bus log file and saves valid frames to separate CSV files for Bus 1 and Bus 2.
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Corrupted, incomplete, or debug frames are silently discarded.
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"""
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input_file = Path(input_path)
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out1_file = Path(out_bus1)
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out2_file = Path(out_bus2)
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# Group 1: Bus (C1 or C2)
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# Group 2: ID (1 to 8 hex chars)
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# Group 3: DLC (1 to 2 hex chars)
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start_pattern = re.compile(r'(C[12]):([0-9A-Fa-f]{1,8})\s+([0-9A-Fa-f]{1,2})\s+')
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byte_pattern = re.compile(r'^[0-9A-Fa-f]{2}$')
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with input_file.open('r', encoding='utf-8') as f_in, \
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out1_file.open('w', newline='', encoding='utf-8') as f_out1, \
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out2_file.open('w', newline='', encoding='utf-8') as f_out2:
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writer1 = csv.writer(f_out1)
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writer2 = csv.writer(f_out2)
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writer1.writerow(['ID', 'DLC', 'Data'])
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writer2.writerow(['ID', 'DLC', 'Data'])
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for line in f_in:
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for match in start_pattern.finditer(line):
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bus = match.group(1)
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can_id = match.group(2).upper()
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dlc_str = match.group(3)
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try:
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dlc = int(dlc_str, 16)
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except ValueError:
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continue
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if dlc > 8:
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continue
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remaining = line[match.end():]
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tokens = remaining.split()
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data_bytes = []
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for token in tokens:
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if byte_pattern.match(token):
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data_bytes.append(token.upper())
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else:
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break
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if len(data_bytes) == dlc:
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data_str = ' '.join(data_bytes)
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row = [can_id, dlc, data_str]
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if bus == 'C1':
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writer1.writerow(row)
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elif bus == 'C2':
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writer2.writerow(row)
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if __name__ == '__main__':
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# Example usage:
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# parse_can_log('can_traffic.txt', 'bus1_output.csv', 'bus2_output.csv')
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pass
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