24 lines
694 B
Python
24 lines
694 B
Python
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import tensorflow as tf
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import re
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# Create a summary writer
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logdir = "logs/"
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writer = tf.summary.create_file_writer(logdir)
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# Read the journalctl logs
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with open("ollama.log", "r") as f:
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for line in f:
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# Example: Parse the log line (you may need to adjust this regex)
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match = re.search(r'(\d+-\d+-\d+ \d+:\d+:\d+).*?(\w+): (.*)', line)
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if match:
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timestamp = match.group(1)
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log_level = match.group(2)
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message = match.group(3)
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# Write to TensorBoard
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with writer.as_default():
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tf.summary.text("log_message", f"{timestamp} [{log_level}] {message}", step=0)
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# Close the writer
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writer.close()
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