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