Fully working plot, server, and sensor with timestamps

plot.py

@@ -1,7 +1,10 @@
 import os
 import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
 import numpy as np
 
+from datetime import datetime
+
 DATA_DIR = "data"
 
 # Find the latest data file
@@ -13,18 +16,30 @@ latest_file = max(files, key=lambda f: os.path.getmtime(os.path.join(DATA_DIR, f
 filepath = os.path.join(DATA_DIR, latest_file)
 print(f"Plotting data from {filepath}")
 
-# Load CSV data (skip header)
-data = np.loadtxt(filepath, delimiter=",", skiprows=1)
-times = data[:, 0]
-voltages = data[:, 1]
+# Load CSV data
+timestamps = []
+voltages = []
+
+with open(filepath, "r") as f:
+    next(f)  # skip header
+    for line in f:
+        ts_str, v_str = line.strip().split(",")
+        ts = datetime.strptime(ts_str, "%Y-%m-%d %H:%M:%S.%f")
+        timestamps.append(ts)
+        voltages.append(float(v_str))
 
 # Plot
-plt.figure(figsize=(10, 5))
-plt.plot(times, voltages, marker='o', linestyle='-')
-plt.xlabel("Time (s)")
+plt.figure(figsize=(12, 5))
+plt.plot(timestamps, voltages, marker='o', linestyle='-')
+
+plt.xlabel("Time (CET)")
 plt.ylabel("Voltage (V)")
 plt.title(f"Voltage Measurements ({latest_file})")
 plt.grid(True)
+
+# Format x-axis for readable time
+plt.gcf().autofmt_xdate()
+plt.gca().xaxis.set_major_formatter(mdates.DateFormatter("%H:%M:%S"))
+
 plt.tight_layout()
 plt.show()
-