Hour power update

amd-monitor.sh

@@ -7,7 +7,7 @@ APU_HWMON="/sys/class/hwmon/hwmon5"        # APU sensor
 GPU_HWMON="/sys/class/drm/card0/device/hwmon/hwmon4"  # dGPU sensor
 INTERVAL=1                                 # seconds between refreshes
 LOGFILE="power_log.csv"                    # CSV output file
-MAX_LINES=500                              # limit to last 500 lines
+RETENTION_SECONDS=3600                     # keep roughly 1 hour of samples
 
 # --- Helpers ---
 read_watts() {
@@ -57,12 +57,16 @@ while true; do
   # --- Append to CSV ---
   echo "$TIME,$APU_PWR,$GPU_PWR,$TOTAL,$APU_TEMP,$GPU_TEMP" >> "$LOGFILE"
 
-  # --- Keep only last $MAX_LINES lines ---
+  # --- Keep roughly 1 hour of samples (plus header) ---
+  MAX_SAMPLES=$(( (RETENTION_SECONDS + INTERVAL - 1) / INTERVAL ))
+  MAX_LINES_WITH_HEADER=$(( MAX_SAMPLES + 1 ))
   LINES=$(wc -l < "$LOGFILE")
-  if (( LINES > MAX_LINES )); then
+  if (( LINES > MAX_LINES_WITH_HEADER )); then
-    tail -n $MAX_LINES "$LOGFILE" > "${LOGFILE}.tmp" && mv "${LOGFILE}.tmp" "$LOGFILE"
+    {
+      head -n 1 "$LOGFILE"
+      tail -n "$MAX_SAMPLES" "$LOGFILE"
+    } > "${LOGFILE}.tmp" && mv "${LOGFILE}.tmp" "$LOGFILE"
   fi
 
   sleep $INTERVAL
 done
-

plot_power.py

@@ -11,6 +11,7 @@ import matplotlib.pyplot as plt
 
 CSV_PATH = "power_log.csv"
 OUTPUT_FILE = "power_graph.png"
+RETENTION_SECONDS = 3600
 
 print(f"📊 Reading {CSV_PATH}...")
 
@@ -23,6 +24,11 @@ df = pd.read_csv(
 
 # --- Convert timestamps ---
 df["timestamp"] = pd.to_datetime(df["timestamp"], errors="coerce")
+latest_ts = df["timestamp"].dropna().max()
+if pd.notna(latest_ts):
+    cutoff = latest_ts - pd.Timedelta(seconds=RETENTION_SECONDS)
+    df = df[df["timestamp"] >= cutoff]
+
 df["time_fmt"] = df["timestamp"].dt.strftime("%Y-%m-%d %H:%M:%S")
 
 # --- Downsample if too many entries ---
@@ -61,4 +67,3 @@ plt.grid(axis="y", alpha=0.3)
 plt.tight_layout()
 plt.savefig(OUTPUT_FILE, dpi=150)
 print(f"✅ Saved graph: {OUTPUT_FILE}")
-