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blesleep
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Added timestamps to CSV logging

This commit is contained in:
Nate Schoolfield 2021-01-24 13:04:28 -08:00
parent a712460ce2
commit b003ec408c
2 changed files with 9 additions and 6 deletions
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1
.gitignore vendored
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@ -7,3 +7,4 @@ auth_key.txt
*.wav *.wav
*.code-workspace *.code-workspace
/.vscode /.vscode
/data

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