forked from M-Labs/thermostat
pytec: init
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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from threading import Thread, Lock
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from pytec.client import Client
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TIME_WINDOW = 300.0
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class Series:
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def __init__(self, scale=1.0):
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self.scale = scale
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self.x_data = []
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self.y_data = []
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def append(self, x, y):
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self.x_data.append(x)
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self.y_data.append(self.scale * y)
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def clip(self, min_x):
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drop = 0
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while drop < len(self.x_data) and self.x_data[drop] < min_x:
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drop += 1
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self.x_data = self.x_data[drop:]
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self.y_data = self.y_data[drop:]
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series = {
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'adc': Series(),
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'sens': Series(0.0001),
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'temperature': Series(),
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'i_set': Series(),
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'vref': Series(),
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'dac_feedback': Series(),
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'i_tec': Series(),
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'tec_i': Series(),
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'tec_u_meas': Series(),
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}
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series_lock = Lock()
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quit = False
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def recv_data(tec):
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print("reporting")
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for data in tec.report_mode():
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if data['channel'] == 0:
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series_lock.acquire()
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try:
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time = data['time'] / 1000.0
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for k, s in series.iteritems():
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v = data[k]
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if data.has_key(k) and type(v) is float:
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s.append(time, v)
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finally:
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series_lock.release()
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if quit:
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break
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tec = Client()
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print("connected")
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thread = Thread(target=recv_data, args=(tec,))
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thread.start()
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fig, ax = plt.subplots()
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for k, s in series.iteritems():
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s.plot, = ax.plot([], [], label=k)
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ax.legend()
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def animate(i):
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min_x, max_x, min_y, max_y = None, None, None, None
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series_lock.acquire()
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try:
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for s in series.itervalues():
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s.plot.set_data(s.x_data, s.y_data)
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if len(s.x_data) > 0:
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min_x_ = min(s.x_data)
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if min_x is None:
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min_x = min_x_
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else:
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min_x = min(min_x, min_x_)
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max_x_ = max(s.x_data)
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if max_x is None:
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max_x = max_x_
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else:
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max_x = max(max_x, max_x_)
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if len(s.y_data) > 0:
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min_y_ = min(s.y_data)
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if min_y is None:
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min_y = min_y_
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else:
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min_y = min(min_y, min_y_)
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max_y_ = max(s.y_data)
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if max_y is None:
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max_y = max_y_
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else:
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max_y = max(max_y, max_y_)
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if min_x is not None and max_x - TIME_WINDOW > min_x:
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for s in series.itervalues():
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s.clip(max_x - TIME_WINDOW)
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finally:
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series_lock.release()
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margin_y = 0.01 * (max_y - min_y)
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ax.set_xlim(min_x, max_x)
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ax.set_ylim(min_y - margin_y, max_y + margin_y)
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ani = animation.FuncAnimation(
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fig, animate, interval=1, blit=False, save_count=50)
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# To save the animation, use e.g.
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#
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# ani.save("movie.mp4")
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#
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# or
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#
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# writer = animation.FFMpegWriter(
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# fps=15, metadata=dict(artist='Me'), bitrate=1800)
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# ani.save("movie.mp4", writer=writer)
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print("show")
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plt.show()
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quit = True
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thread.join()
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import socket
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import json
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class Client:
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def __init__(self, host="192.168.1.26", port=23, timeout=None):
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self._socket = socket.create_connection((host, port), timeout)
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self._lines = [""]
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def _command(self, *command):
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self._socket.sendall((" ".join(command) + "\n").encode('utf-8'))
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def _read_line(self):
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# read more lines
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while len(self._lines) <= 1:
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chunk = self._socket.recv(4096)
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if not chunk:
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return None
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buf = self._lines[-1] + chunk.decode('utf-8', errors='ignore')
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self._lines = buf.split("\n")
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line = self._lines[0]
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self._lines = self._lines[1:]
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return line
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def report_mode(self):
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"""Start reporting measurement values
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"""
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self._command("report mode", "on")
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self._read_line()
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while True:
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line = self._read_line()
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if not line:
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break
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try:
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yield json.loads(line)
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except json.decoder.JSONDecodeError:
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pass
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def set_param(self, topic, channel, field="", value=""):
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if type(value) is float:
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value = "{:f}".format(value)
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if type(value) is not str:
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value = str(value)
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self._command(topic, str(channel), field, value)
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# read response line
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self._read_line()
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def power_up(self, channel, target):
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self.set_param("pid", channel, "target", value=target)
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self.set_param("pwm", channel, "pid")
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@ -0,0 +1,12 @@
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from setuptools import setup, find_packages
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setup(
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name="pytec",
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version="0.0",
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author="M-Labs",
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url="https://git.m-labs.hk/M-Labs/thermostat",
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description="Control TEC",
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license="GPLv3",
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install_requires=["setuptools"],
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packages=find_packages(),
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)
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@ -0,0 +1,6 @@
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from pytec.client import Client
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tec = Client() #(host="localhost", port=6667)
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tec.set_param("s-h", 0, "t", 20)
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for data in tec.report_mode():
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print(data)
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