Added timestamps to CSV logging
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@ -7,3 +7,4 @@ auth_key.txt
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*.wav
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*.code-workspace
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/.vscode
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/data
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10
bluesleep.py
10
bluesleep.py
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@ -21,7 +21,7 @@ from datetime import datetime
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sleep_data = {
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'heartrate': {
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'value_name': 'bpm',
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'periods': [5, 10, 15],
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'periods': [2, 5, 10, 15],
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'raw_data': [],
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'averaged_data': [],
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},
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@ -48,7 +48,7 @@ graph_axes = graph_figure.add_subplot(1, 1, 1)
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graph_data = {}
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last_tick_time = None
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tick_seconds = 1
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tick_seconds = 0.5
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fieldnames = []
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for data_type, _ in sleep_data.items():
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@ -159,9 +159,9 @@ def flush_old_raw_data(tick_time):
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def average_raw_data(tick_time):
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global sleep_data
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csv_out = {}
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timestamp = datetime.fromtimestamp(tick_time)
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csv_out = {'time': timestamp }
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for data_type, _ in sleep_data.items():
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period_averages_dict = {}
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@ -186,6 +186,7 @@ def average_raw_data(tick_time):
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period_data_average = 0
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period_averages_dict[period_seconds] = zero_to_nan(period_data_average)
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csv_out[data_type + str(period_seconds)] = zero_to_nan(period_data_average)
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sleep_data[data_type]['averaged_data'].append(period_averages_dict)
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@ -243,7 +244,8 @@ def update_graph_data():
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for sleep_datum in sleep_data[data_type]['averaged_data'][starting_index:ending_index]:
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graph_data[data_type]['time'].append(sleep_datum['time'])
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for period in data_periods:
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graph_data[data_type]['data'][period].append(sleep_datum[period])
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if graph_data[data_type]['data'][period] != 'nan':
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graph_data[data_type]['data'][period].append(sleep_datum[period])
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def graph_animation(i):
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