kumify/mood/statistics.py

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import holoviews as hv
import pandas as pd
from django.utils import timezone
from bokeh.models import HoverTool
from holoviews.operation import timeseries
from dateutil.relativedelta import relativedelta
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from .models import Status, Mood
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def moodstats(user, mindate=None, maxdate=None, days=7):
hv.extension('bokeh')
maxdate = maxdate or timezone.now()
mindate = mindate or (maxdate - relativedelta(days=days))
tooltips = [
('Date', '@date{%F %H:%M}'),
('Value', '@value')
]
formatters = {
'@date': 'datetime'
}
hover = HoverTool(tooltips=tooltips, formatters=formatters)
pointdict = {"date": [], "value": [], "color": []}
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for status in Status.objects.filter(user=user):
if status.mood:
pointdict["date"].append(status.timestamp)
pointdict["value"].append(status.mood.value)
pointdict["color"].append(status.mood.color)
pointframe = pd.DataFrame.from_dict(pointdict)
points = hv.Points(pointframe)
points.opts(
tools=[hover], color='color', cmap='Category20',
line_color='black', size=25,
width=600, height=400, show_grid=True,
title='Your Mood Entries')
pointtuples = [(pointdict["date"][i], pointdict["value"][i]) for i in range(len(pointdict["date"]))]
line = hv.Curve(pointtuples)
maxval = Mood.objects.filter(user=user).latest("value").value
maxy = maxval + min(maxval * 0.1, 1)
maxx = maxdate.timestamp() * 1000
minx = maxx - (60*60*24*7) * 1000
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output = points * line * timeseries.rolling(line, rolling_window=7)
output.opts(ylim=(0, maxy), xlim=(minx, maxx))
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return output
def activitystats(user, mindate=None, maxdate=None, days=7):
maxdate = maxdate or timezone.now()
mindate = mindate or (maxdate - relativedelta(days=days))
output = {}
for status in Status.objects.filter(user=user, timestamp__gte=mindate, timestamp__lte=maxdate):
for activity in status.activity_set:
if activity in output.keys():
output[activity] += 1
else:
output[activity] = 1
return output