import requests
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime

history_url = "http://192.168.178.84:9587/bettwaage/history"

data = requests.get(history_url)

data = data.json()


# make data
x = [datetime.strptime(d["timestamp"], "%Y-%m-%d %H:%M:%S.%f") for d in data]
max_time = max(x)
x = [(max_time - d).total_seconds() for d in x]

total = [d["total"] for d in data]
tl = [d["tl"] for d in data]
tr = [d["tr"] for d in data]
bl = [d["bl"] for d in data]
br = [d["br"] for d in data]


fig, ax1 = plt.subplots()

color = "tab:red"
ax1.set_xlabel("time (s)")
ax1.set_ylabel("Total", color=color)
ax1.plot(x, total, color=color)

ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis

color = "tab:blue"
ax2.set_ylabel("Legs", color=color)  # we already handled the x-label with ax1
ax2.plot(x, tl, color="tab:red")
ax2.plot(x, tr, color="tab:green")
ax2.plot(x, bl, color="tab:purple")
ax2.plot(x, br, color="tab:orange")

fig.tight_layout()  # otherwise the right y-label is slightly clipped
plt.show()

plt.show()