2017-11-04 03:03:24 +00:00
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# -*- coding: utf-8 -*-
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from collections import OrderedDict
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2021-08-28 20:42:22 +00:00
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from django.utils import timezone, formats
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2019-04-14 20:32:46 +00:00
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from django.utils.translation import gettext as _
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2017-11-04 03:03:24 +00:00
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import plotly.offline as plotly
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import plotly.graph_objs as go
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from core.utils import duration_string
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from reports import utils
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2021-10-30 13:20:41 +00:00
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ASLEEP_COLOR = 'rgb(35, 110, 150)'
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AWAKE_COLOR = 'rgba(255, 255, 255, 0)'
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2017-11-04 03:03:24 +00:00
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2021-10-30 13:20:41 +00:00
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def sleep_pattern(sleeps):
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2017-11-04 03:03:24 +00:00
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"""
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Create a graph showing blocked out periods of sleep during each day.
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2021-10-30 13:20:41 +00:00
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:param sleeps: a QuerySet of Sleep instances.
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2017-11-04 03:03:24 +00:00
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:returns: a tuple of the the graph's html and javascript.
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"""
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2021-10-30 13:29:21 +00:00
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days = {}
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2017-11-04 03:03:24 +00:00
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last_end_time = None
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adjustment = None
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2021-10-30 13:20:41 +00:00
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for sleep in sleeps:
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start_time = timezone.localtime(sleep.start)
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end_time = timezone.localtime(sleep.end)
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2017-11-04 03:03:24 +00:00
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start_date = start_time.date().isoformat()
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2021-08-28 03:06:18 +00:00
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end_date = end_time.date().isoformat()
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2021-10-30 13:20:41 +00:00
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duration = sleep.duration
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2017-11-04 03:03:24 +00:00
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2021-08-28 03:06:18 +00:00
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# Ensure that lists are initialized for the start and end date (as they
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# may be different dates).
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2021-10-30 13:29:21 +00:00
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if start_date not in days:
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days[start_date] = []
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if end_date not in days:
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days[end_date] = []
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2020-12-03 04:15:22 +00:00
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2017-11-04 03:03:24 +00:00
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# Check if the previous entry crossed midnight (see below).
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if adjustment:
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2021-10-30 13:29:21 +00:00
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_add_adjustment(adjustment, days)
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2017-11-04 03:03:24 +00:00
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last_end_time = timezone.localtime(adjustment['end_time'])
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adjustment = None
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# If the dates do not match, set up an adjustment for the next day.
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if end_time.date() != start_time.date():
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adj_start_time = end_time.replace(hour=0, minute=0, second=0)
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adjustment = {
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2021-10-30 13:20:41 +00:00
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'column': end_date,
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2017-11-04 03:03:24 +00:00
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'start_time': adj_start_time,
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'end_time': end_time,
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'duration': end_time - adj_start_time
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}
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# Adjust end_time for the current entry.
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end_time = end_time.replace(
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year=start_time.year, month=start_time.month,
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day=start_time.day, hour=23, minute=59, second=0)
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duration = end_time - start_time
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2020-12-03 04:15:22 +00:00
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if not last_end_time:
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2017-11-04 03:03:24 +00:00
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last_end_time = start_time.replace(hour=0, minute=0, second=0)
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# Awake time.
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2021-10-30 13:29:21 +00:00
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days[start_date].append({
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'time': (start_time - last_end_time).seconds / 60,
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'label': None
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})
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2017-11-04 03:03:24 +00:00
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# Asleep time.
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2021-10-30 13:29:21 +00:00
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days[start_date].append({
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'time': duration.seconds / 60,
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'label': _format_label(duration, start_time, end_time)}
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)
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2017-11-04 03:03:24 +00:00
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2017-11-07 11:23:19 +00:00
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# Update the previous entry duration if an offset change occurred.
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# This can happen when an entry crosses a daylight savings time change.
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if start_time.utcoffset() != end_time.utcoffset():
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diff = start_time.utcoffset() - end_time.utcoffset()
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duration -= timezone.timedelta(seconds=diff.seconds)
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2021-04-11 20:56:40 +00:00
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yesterday = (end_time - timezone.timedelta(days=1))
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yesterday = yesterday.date().isoformat()
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2021-10-30 13:29:21 +00:00
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days[yesterday][len(days[yesterday]) - 1] = {
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'time': duration.seconds / 60,
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'label': _format_label(duration, start_time, end_time)
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}
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2017-11-07 11:23:19 +00:00
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2017-11-04 03:03:24 +00:00
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last_end_time = end_time
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2021-08-28 03:06:18 +00:00
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# Handle any left over adjustment (if the last entry crossed midnight).
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if adjustment:
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2021-10-30 13:29:21 +00:00
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_add_adjustment(adjustment, days)
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2021-08-28 03:06:18 +00:00
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2021-08-28 03:47:52 +00:00
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# Create dates for x-axis using a 12:00:00 time to ensure correct
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# positioning of bars (covering entire day).
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dates = []
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2021-10-30 13:29:21 +00:00
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for time in list(days.keys()):
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dates.append('{} 12:00:00'.format(time))
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2017-11-04 03:03:24 +00:00
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traces = []
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2021-10-30 13:20:41 +00:00
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color = AWAKE_COLOR
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2020-12-03 04:15:22 +00:00
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# Set iterator and determine maximum iteration for dates.
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i = 0
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max_i = 0
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for date_times in days.values():
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2020-12-03 04:15:22 +00:00
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max_i = max(len(date_times), max_i)
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while i < max_i:
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y = {}
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text = {}
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for date in days.keys():
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2020-12-03 04:15:22 +00:00
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try:
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2021-11-04 03:03:59 +00:00
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y[date] = days[date][i]['time']
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text[date] = days[date][i]['label']
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except IndexError:
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y[date] = None
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text[date] = None
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i += 1
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2017-11-04 03:03:24 +00:00
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traces.append(go.Bar(
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x=dates,
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2020-12-03 04:15:22 +00:00
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y=list(y.values()),
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2021-08-28 20:30:36 +00:00
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hovertext=list(text.values()),
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# `hoverinfo` is deprecated but if we use the new `hovertemplate`
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2021-08-28 20:42:22 +00:00
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# the "filler" areas for awake time get a hover that says "null"
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# and there is no way to prevent this currently with Plotly.
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2017-11-04 03:03:24 +00:00
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hoverinfo='text',
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marker={'color': color},
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showlegend=False,
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))
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2021-10-30 13:20:41 +00:00
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if color == AWAKE_COLOR:
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color = ASLEEP_COLOR
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2017-11-04 03:03:24 +00:00
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else:
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2021-10-30 13:20:41 +00:00
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color = AWAKE_COLOR
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2017-11-04 03:03:24 +00:00
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layout_args = utils.default_graph_layout_options()
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layout_args['margin']['b'] = 100
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layout_args['barmode'] = 'stack'
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2020-03-17 12:42:24 +00:00
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layout_args['bargap'] = 0
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2017-11-04 03:03:24 +00:00
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layout_args['hovermode'] = 'closest'
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2019-04-14 20:32:46 +00:00
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layout_args['title'] = _('<b>Sleep Pattern</b>')
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2017-11-04 03:03:24 +00:00
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layout_args['height'] = 800
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2019-04-14 20:32:46 +00:00
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layout_args['xaxis']['title'] = _('Date')
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2017-11-04 03:03:24 +00:00
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layout_args['xaxis']['tickangle'] = -65
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2021-08-28 03:47:52 +00:00
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layout_args['xaxis']['tickformat'] = '%b %e\n%Y'
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layout_args['xaxis']['ticklabelmode'] = 'period'
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2017-11-04 03:03:24 +00:00
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layout_args['xaxis']['rangeselector'] = utils.rangeselector_date()
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start = timezone.localtime().strptime('12:00 AM', '%I:%M %p')
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ticks = OrderedDict()
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ticks[0] = start.strftime('%I:%M %p')
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2021-08-28 20:42:22 +00:00
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for i in range(0, 60*24, 30):
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ticks[i] = formats.time_format(start + timezone.timedelta(minutes=i),
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'TIME_FORMAT')
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2017-11-04 03:03:24 +00:00
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2019-04-14 20:32:46 +00:00
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layout_args['yaxis']['title'] = _('Time of day')
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2021-08-29 09:48:31 +00:00
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layout_args['yaxis']['range'] = [24*60, 0]
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2017-11-04 03:03:24 +00:00
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layout_args['yaxis']['tickmode'] = 'array'
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layout_args['yaxis']['tickvals'] = list(ticks.keys())
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layout_args['yaxis']['ticktext'] = list(ticks.values())
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layout_args['yaxis']['tickfont'] = {'size': 10}
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fig = go.Figure({
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'data': traces,
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'layout': go.Layout(**layout_args)
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})
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output = plotly.plot(fig, output_type='div', include_plotlyjs=False)
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return utils.split_graph_output(output)
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2021-10-30 13:29:21 +00:00
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def _add_adjustment(adjustment, days):
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2021-08-28 03:06:18 +00:00
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"""
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Adds "adjustment" data for entries that cross midnight.
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:param adjustment: Column, start time, end time, and duration of entry.
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:param blocks: List of days
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"""
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column = adjustment.pop('column')
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2021-08-28 03:06:18 +00:00
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# Fake (0) entry to keep the color switching logic working.
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days[column].append({'time': 0, 'label': 0})
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2021-08-28 03:06:18 +00:00
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# Real adjustment entry.
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2021-10-30 13:29:21 +00:00
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days[column].append({
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'time': adjustment['duration'].seconds / 60,
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'label': _format_label(**adjustment)
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})
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2021-08-28 03:06:18 +00:00
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2020-12-03 04:15:22 +00:00
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def _format_label(duration, start_time, end_time):
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2017-11-04 03:03:24 +00:00
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"""
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2020-12-03 04:15:22 +00:00
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Formats a time block label.
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:param duration: Duration.
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:param start_time: Start time.
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:param end_time: End time.
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:return: Formatted string with duration, start, and end time.
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2017-11-04 03:03:24 +00:00
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"""
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2020-12-03 04:15:22 +00:00
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return 'Asleep {} ({} to {})'.format(
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duration_string(duration),
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2021-08-28 20:42:22 +00:00
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formats.time_format(start_time, 'TIME_FORMAT'),
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formats.time_format(end_time, 'TIME_FORMAT'))
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