First commit

auth_key_miband4.txt

@@ -0,0 +1 @@
+c04bc1eb2efaea8efc20882624b9a0f6

bluesleep.py

@@ -15,7 +15,7 @@ mac_filename = 'mac.txt'
 maximize_graph = False
 
 vibration_settings = {
-    'interval_minutes': 0.1,
+    'interval_minutes': 45,
     'duration_seconds': 5,
     'type': 'random'
     }

crymonitor.py

@@ -0,0 +1,63 @@
+import pyaudio, time, threading
+import numpy as np
+from matplotlib import pyplot as plt
+import matplotlib.animation as animation
+
+
+CHUNKSIZE = 1024 # fixed chunk size
+
+# initialize portaudio
+p = pyaudio.PyAudio()
+
+info = p.get_host_api_info_by_index(0)
+numdevices = info.get('deviceCount')
+for i in range(0, numdevices):
+    if (p.get_device_info_by_host_api_device_index(0, i).get('maxInputChannels')) > 0:
+        print("Input Device id ", i, " - ", p.get_device_info_by_host_api_device_index(0, i).get('name'))
+
+stream = p.open(
+    format=pyaudio.paInt16, 
+    channels=1, 
+    rate=44100, 
+    input=True, 
+    frames_per_buffer=CHUNKSIZE,
+    input_device_index=18
+    )
+
+
+
+
+plt.style.use('dark_background')
+graph_figure = plt.figure()
+graph_figure.canvas.set_window_title('blesleep')
+
+graph_axes = graph_figure.add_subplot(1, 1, 1)
+graph_data = {}
+
+
+
+def graph_animation(i):
+    graph_axes.clear()
+
+    graph_axes.plot(numpydata)
+
+ani = animation.FuncAnimation(graph_figure, graph_animation, interval=1000)
+
+def get_audio_data():
+    global numpydata
+    while True:
+        data = stream.read(CHUNKSIZE)
+        numpydata = np.frombuffer(data, dtype=np.int16)
+        time.sleep(1)
+
+
+threading.Thread(target=get_audio_data).start()
+
+
+plt.show()
+
+
+# close stream
+stream.stop_stream()
+stream.close()
+p.terminate()

datafilter.py

@@ -0,0 +1,76 @@
+import time, os, csv
+from datetime import datetime
+from matplotlib import pyplot as plt
+
+datapath = '/home/daddy/Projects/miband/data/2021_02_07/'
+window_min = 30
+figure_height = 9
+figure_width = 18
+fullscreen = False
+
+
+files = os.listdir(datapath)
+wavs = []
+csvs = []
+for file in files:
+    if 'wav' in file:
+        wavs.append(file)
+    elif 'csv' in file and 'raw' in file:
+        csvs.append(file)
+
+
+event_data_list = []
+for wav in wavs:
+    event_dict = {
+        'name': wav,
+        'data': {
+            'mov_x': [],
+            'mov_y': [],
+            'bpm_x': [],
+            'bpm_y': []
+            }
+        }
+
+    wavtime = datetime.strptime(wav, '%Y_%m_%d__%H_%M_%S.wav')
+    wavestamp = wavtime.timestamp()
+
+    plotdata_mov_x = []
+    plotdata_mov_y = []
+    plotdata_bpm_x = []
+    plotdata_bpm_y = []
+    for mycsv in csvs:
+        with open((datapath + mycsv), newline='') as csvfile:
+            csvreader = csv.DictReader(csvfile, delimiter=',')
+            for row in csvreader:
+                if abs((float(wavestamp) - float(row['time']))) <= (window_min * 60):
+                    if 'bpm' in row:
+                        event_dict['data']['bpm_x'].append( int(row['bpm']) )
+                        event_dict['data']['bpm_y'].append( datetime.fromtimestamp(float(row['time'])) )
+                    elif 'movement' in row:
+                        event_dict['data']['mov_x'].append( int(row['movement']) )
+                        event_dict['data']['mov_y'].append( datetime.fromtimestamp(float(row['time'])) )
+
+    event_data_list.append(event_dict)
+
+
+for event_data in event_data_list:
+    event_name = event_data['name'].rsplit('.', 1)[0]
+    output_png_filename = '{}{}'.format(event_name, ".png")
+    data = event_data['data']
+    plt.close("all")
+    
+    fig, ax = plt.subplots()
+    ax2 = ax.twinx()
+    ax.plot(data['bpm_y'], data['bpm_x'], color="red")
+    ax2.plot(data['mov_y'], data['mov_x'], color="blue")
+
+    fig.set_figheight(figure_height)
+    fig.set_figwidth(figure_width)
+    fig.autofmt_xdate()
+
+    if fullscreen:
+        plt.get_current_fig_manager().full_screen_toggle()
+    plt.title(event_name)
+    if data['bpm_y']:
+        plt.savefig(datapath + output_png_filename)
+        plt.show()

mac_miband4.txt

@@ -0,0 +1 @@
+EB:DD:13:97:9C:0D

test.py

@@ -0,0 +1,19 @@
+import numpy as np
+import matplotlib.pyplot as plt
+x = np.arange(0, 10, 0.1)
+y1 = 0.05 * x**2
+y2 = -1 *y1
+
+fig, ax1 = plt.subplots()
+
+
+
+ax2 = ax1.twinx()
+figures=[manager.canvas.figure
+         for manager in plt._pylab_helpers.Gcf.get_all_fig_managers()]
+print(figures)
+
+ax1.plot(x, y1, 'g-')
+ax2.plot(x, y2, 'b-')
+
+plt.show()