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bf8fbca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | #!/usr/bin/env python3
"""
Preprocess raw logs and convert to training data format.
"""
import json
import sys
from pathlib import Path
def preprocess_logs(raw_dir: str, output_dir: str):
"""Process raw logs and create training data."""
raw_path = Path(raw_dir)
output_path = Path(output_dir)
output_path.mkdir(parents=True, exist_ok=True)
processed = []
for log_file in raw_path.glob("logs-*.jsonl"):
with open(log_file) as f:
for line in f:
data = json.loads(line)
# Transform to training format
processed.append(data)
# Write processed data
output_file = output_path / "reasoning_steps.jsonl"
with open(output_file, "w") as f:
for item in processed:
f.write(json.dumps(item, ensure_ascii=False) + "\n")
print(f"Processed {len(processed)} records to {output_file}")
return len(processed)
if __name__ == "__main__":
raw_dir = sys.argv[1] if len(sys.argv) > 1 else "data/raw_logs"
output_dir = sys.argv[2] if len(sys.argv) > 2 else "data/brain"
preprocess_logs(raw_dir, output_dir) |