def event(auth_key, event):
out = []
template = open("static_private/picarus_event_explorer_template.html").read()
chart_count = 0
chart_values = {}
rows = EVENT_ROWS[event]
times = EVENT_ROW_TIMES[event]
event_sensors, sensor_names = get_event_sensors(rows, ROW_COLUMNS, times[0], times[-1], max_samples=1000)
out += ['<div class="event">'] + generate_event(auth_key, event)
chart_id = "chart_%d" % chart_count
chart_num = 0
out.append('<h2>%s (%d)</h2><div id="%s"></div>' % ("locomotion", chart_num, chart_id))
chart_values[chart_id] = [[], []]
for start_time, stop_time, results in EVENT_CLASSIFICATIONS[event]:
chart_values[chart_id][0].append(start_time)
chart_values[chart_id][0].append(stop_time)
chart_values[chart_id][1].append(results["locomotion"])
chart_values[chart_id][1].append(results["locomotion"])
chart_count += 1
for chart_num in [1, 2, 3, 4, 5, 9, 10, 11]:
chart_id = "chart_%d" % chart_count
out.append('<h2>%s (%d)</h2><div id="%s"></div>' % (sensor_names[chart_num], chart_num, chart_id))
chart_values[chart_id] = [[x[1] for x in event_sensors[chart_num]]] + zip(
*[x[0] for x in event_sensors[chart_num]]
)
chart_count += 1
out.append("</div>")
return (
template.replace("{{events}}", "".join(out))
.replace("{{chartValues}}", json.dumps(chart_values))
.replace("{{AUTH_KEY}}", auth_key)
.replace("{{EVENT}}", event)
.replace("{{THUMBWIDTH}}", ARGS.thumbwidth)
)
def classify_slice(rows, row_columns, start_time, stop_time, window_size=10):
sensors, sensor_names = get_event_sensors(rows, row_columns, start_time,
stop_time)
sensor_values = {
k: np.array([[v['timestamp']] + v['values'] for v in vs])
for k, vs in sensors.items()
}
return classify_sensors(sensor_values)
def event(auth_key, event):
out = []
template = open('static_private/picarus_event_explorer_template.html').read()
chart_count = 0
chart_values = {}
rows = EVENT_ROWS[event]
times = EVENT_ROW_TIMES[event]
event_sensors, sensor_names = get_event_sensors(rows, ROW_COLUMNS, times[0], times[-1], max_samples=1000)
out += ['<div class="event">'] + generate_event(auth_key, event)
for chart_num in [1, 2, 3, 4, 5, 9, 10, 11]:
chart_id = 'chart_%d' % chart_count
out.append('<h2>%s (%d)</h2><div id="%s"></div>' % (sensor_names[chart_num], chart_num, chart_id))
chart_values[chart_id] = [[x['timestamp'] for x in event_sensors[chart_num]]] + zip(*[x['values'] for x in event_sensors[chart_num]])
chart_count += 1
out.append('</div>')
return template.replace('{{events}}', ''.join(out)).replace('{{chartValues}}', json.dumps(chart_values)).replace('{{AUTH_KEY}}', auth_key).replace('{{EVENT}}', event).replace('{{THUMBWIDTH}}', ARGS.thumbwidth)
def classify_slice(rows, row_columns, start_time, stop_time, window_size=10):
sensors, sensor_names = get_event_sensors(rows, row_columns, start_time, stop_time)
sensor_values = {k: np.array([[v[1]] + v[0] for v in vs]) for k, vs in sensors.items()}
return classify_sensors(sensor_values)
