Mid progress

plot-times.py

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+import os
+import numpy as np
+import matplotlib.pyplot as plt
+
+DATA_DIR = "data"
+
+# find newest summary file
+files = [f for f in os.listdir(DATA_DIR)
+         if f.startswith("summary_") and f.endswith(".csv")]
+if not files:
+    raise FileNotFoundError("No summary files found in 'data/'")
+
+latest = max(files, key=lambda f: os.path.getmtime(os.path.join(DATA_DIR, f)))
+path = os.path.join(DATA_DIR, latest)
+
+print(f"Using {path}")
+
+starts = []
+ends = []
+
+with open(path, "r") as f:
+    next(f)  # skip header
+    for line in f:
+        parts = line.strip().split(",")
+        if len(parts) < 2:
+            continue
+        start_ms = float(parts[0])
+        end_ms = float(parts[1])
+        starts.append(start_ms)
+        ends.append(end_ms)
+
+starts = np.array(starts)
+ends   = np.array(ends)
+
+# measurement durations
+measurement = ends - starts
+
+# gap durations (between batches)
+# drop last batch because there is no next-start to compute gap against
+gaps = starts[1:] - ends[:-1]
+
+# align measurement durations to gaps dimension
+# (both arrays indexed by batch interval "between measurements")
+measurement = measurement[:-1]
+
+# percentages
+total = measurement + gaps
+measurement_pct = (measurement / total) * 100.0
+downtime_pct = (gaps / total) * 100.0
+
+# time axis: batch index (no absolute time in summaries)
+x = np.arange(len(measurement_pct))
+
+# plot
+plt.figure(figsize=(12, 6))
+plt.plot(x, measurement_pct, label="measurement time (%)")
+plt.plot(x, downtime_pct, label="downtime (%)")
+
+plt.xlabel("Batch index")
+plt.ylabel("Percentage of interval")
+plt.title(f"Measurement vs. Downtime Percentage ({latest})")
+plt.grid(True)
+plt.legend()
+
+plt.tight_layout()
+plt.show()
+