thermostat/pytec/plot.py

128 lines
3.2 KiB
Python

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from threading import Thread, Lock
from pytec.client import Client
TIME_WINDOW = 300.0
class Series:
def __init__(self, scale=1.0):
self.scale = scale
self.x_data = []
self.y_data = []
def append(self, x, y):
self.x_data.append(x)
self.y_data.append(self.scale * y)
def clip(self, min_x):
drop = 0
while drop < len(self.x_data) and self.x_data[drop] < min_x:
drop += 1
self.x_data = self.x_data[drop:]
self.y_data = self.y_data[drop:]
series = {
'adc': Series(),
'sens': Series(0.0001),
'temperature': Series(),
'i_set': Series(),
'vref': Series(),
'dac_feedback': Series(),
'i_tec': Series(),
'tec_i': Series(),
'tec_u_meas': Series(),
}
series_lock = Lock()
quit = False
def recv_data(tec):
print("reporting")
for data in tec.report_mode():
if data['channel'] == 0:
series_lock.acquire()
try:
time = data['time'] / 1000.0
for k, s in series.iteritems():
v = data[k]
if data.has_key(k) and type(v) is float:
s.append(time, v)
finally:
series_lock.release()
if quit:
break
tec = Client()
print("connected")
thread = Thread(target=recv_data, args=(tec,))
thread.start()
fig, ax = plt.subplots()
for k, s in series.iteritems():
s.plot, = ax.plot([], [], label=k)
ax.legend()
def animate(i):
min_x, max_x, min_y, max_y = None, None, None, None
series_lock.acquire()
try:
for s in series.itervalues():
s.plot.set_data(s.x_data, s.y_data)
if len(s.x_data) > 0:
min_x_ = min(s.x_data)
if min_x is None:
min_x = min_x_
else:
min_x = min(min_x, min_x_)
max_x_ = max(s.x_data)
if max_x is None:
max_x = max_x_
else:
max_x = max(max_x, max_x_)
if len(s.y_data) > 0:
min_y_ = min(s.y_data)
if min_y is None:
min_y = min_y_
else:
min_y = min(min_y, min_y_)
max_y_ = max(s.y_data)
if max_y is None:
max_y = max_y_
else:
max_y = max(max_y, max_y_)
if min_x is not None and max_x - TIME_WINDOW > min_x:
for s in series.itervalues():
s.clip(max_x - TIME_WINDOW)
finally:
series_lock.release()
margin_y = 0.01 * (max_y - min_y)
ax.set_xlim(min_x, max_x)
ax.set_ylim(min_y - margin_y, max_y + margin_y)
ani = animation.FuncAnimation(
fig, animate, interval=1, blit=False, save_count=50)
# To save the animation, use e.g.
#
# ani.save("movie.mp4")
#
# or
#
# writer = animation.FFMpegWriter(
# fps=15, metadata=dict(artist='Me'), bitrate=1800)
# ani.save("movie.mp4", writer=writer)
print("show")
plt.show()
quit = True
thread.join()