power update/ added plot python script for runner to use

plot_power.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+"""
+plot_power.py
+Generates a PNG graph from power_log.csv for AMD Laptop APU/GPU telemetry.
+Designed for Forgejo CI artifact publishing.
+Author: MarkMental
+"""
+
+import pandas as pd
+import matplotlib.pyplot as plt
+from datetime import datetime
+
+# --- Configuration ---
+CSV_PATH = "power_log.csv"
+OUTPUT_FILE = "power_graph.png"
+
+print(f"📊 Reading {CSV_PATH}...")
+
+# --- Load data ---
+try:
+    df = pd.read_csv(CSV_PATH)
+except FileNotFoundError:
+    raise SystemExit(f"❌ CSV not found: {CSV_PATH}")
+
+# --- Sanity checks ---
+required_cols = {"timestamp", "apu_w", "gpu_w", "total_w"}
+if not required_cols.issubset(df.columns):
+    raise SystemExit(f"❌ Missing columns in {CSV_PATH}. Found: {df.columns.tolist()}")
+
+# --- Parse timestamps ---
+try:
+    df["timestamp"] = pd.to_datetime(df["timestamp"], errors="coerce")
+except Exception as e:
+    print(f"⚠️ Failed to parse some timestamps: {e}")
+
+# --- Plot ---
+plt.figure(figsize=(10, 5))
+plt.plot(df["timestamp"], df["apu_w"], label="APU Power (W)", color="orange", linewidth=1.3)
+plt.plot(df["timestamp"], df["gpu_w"], label="GPU Power (W)", color="green", linewidth=1.3)
+plt.plot(df["timestamp"], df["total_w"], label="Total Power (W)", color="blue", linewidth=1.5)
+
+# Optional: plot temperatures if present
+if "apu_temp" in df.columns and "gpu_temp" in df.columns:
+    ax2 = plt.gca().twinx()
+    ax2.plot(df["timestamp"], df["apu_temp"], "--", color="red", alpha=0.4, label="APU Temp (°C)")
+    ax2.plot(df["timestamp"], df["gpu_temp"], "--", color="purple", alpha=0.4, label="GPU Temp (°C)")
+    ax2.set_ylabel("Temperature (°C)")
+    lines, labels = plt.gca().get_legend_handles_labels()
+    lines2, labels2 = ax2.get_legend_handles_labels()
+    plt.legend(lines + lines2, labels + labels2, loc="upper left")
+else:
+    plt.legend(loc="upper left")
+
+plt.title("AMD TUF Power Log")
+plt.xlabel("Time")
+plt.ylabel("Power (Watts)")
+plt.grid(True, alpha=0.3)
+plt.xticks(rotation=45)
+plt.tight_layout()
+
+# --- Save ---
+plt.savefig(OUTPUT_FILE, dpi=120)
+print(f"✅ Saved graph: {OUTPUT_FILE}")
+