85 lines
2.0 KiB
Python
85 lines
2.0 KiB
Python
import re
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import datetime as dt
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import matplotlib.pyplot as plt
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import tkinter as tk
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from tkinter import filedialog, messagebox
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def parse_log(file_path):
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t = []
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rms = []
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freq = []
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with open(file_path, encoding='utf-8', errors='ignore') as f:
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for line in f:
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# Match only valid ptp4l stat lines
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match = re.search(
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r'^(\w+ \d+ \d+:\d+:\d+).*rms (\d+).*freq ([+-]?\d+)',
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line
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)
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if match:
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try:
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# Add year (needed for parsing)
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timestr = match.group(1) + " 2026"
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timestamp = dt.datetime.strptime(
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timestr, "%b %d %H:%M:%S %Y"
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)
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t.append(timestamp)
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rms.append(int(match.group(2)))
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freq.append(int(match.group(3)))
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except Exception:
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# Skip malformed lines safely
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pass
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return t, rms, freq
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def plot_data(t, rms, freq):
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if not t:
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messagebox.showerror("Error", "No valid PTP lines found.")
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return
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fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
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ax1.plot(t, rms)
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ax1.set_ylabel("RMS (ns)")
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ax1.set_title("PTP RMS Offset")
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ax2.plot(t, freq)
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ax2.set_ylabel("Frequency deviation")
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ax2.set_xlabel("Time")
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ax2.set_title("PTP Frequency Deviation")
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plt.xticks(rotation=30)
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plt.tight_layout()
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plt.show()
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def open_file():
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file_path = filedialog.askopenfilename(
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title="Select PTP log file",
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filetypes=[("Log files", "*.log *.txt"), ("All files", "*.*")]
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)
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if not file_path:
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return
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t, rms, freq = parse_log(file_path)
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plot_data(t, rms, freq)
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# --- GUI setup ---
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root = tk.Tk()
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root.title("PTP Log Viewer")
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root.geometry("300x150")
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label = tk.Label(root, text="PTP Log Plotter", font=("Arial", 14))
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label.pack(pady=10)
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btn = tk.Button(root, text="Open Log File", command=open_file)
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btn.pack(pady=10)
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root.mainloop() |