import pandas as pd
import matplotlib.pyplot as plt
from pathlib import Path

ROOT = Path(__file__).parent.parent
df = pd.read_csv(ROOT / "data.csv")
df["time_s"] = df["time since start [ms]"] / 1000.0
T0    = 105.0   # inizio finestra [s]
T_END = 133.7   # fine finestra [s] — ultimo campione nel dataset

df = df[(df["time_s"] >= T0) & (df["time_s"] <= T_END)]

fig, ax = plt.subplots(figsize=(12, 5))

ax.plot(df["time_s"], df["temp_amb IR [C]"], label="Temperatura ambiente", linewidth=1)
ax.plot(df["time_s"], df["temp_obj IR [C]"], label="Temperatura scatola", linewidth=1, marker='o', markersize=1, markerfacecolor="orange", markeredgecolor="blue")

ax.set_xlabel("Tempo [s]")
ax.set_ylabel("Temperatura [°C]")
ax.set_title("Profilo termico scatola in forno")
ax.legend()
ax.grid(True, alpha=0.3)

plt.tight_layout()
plt.savefig(Path(__file__).parent / "plot_temperatura.png", dpi=150, bbox_inches="tight")
plt.show()