83 lines
2.3 KiB
Python
83 lines
2.3 KiB
Python
import holoviews as hv
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import pandas as pd
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from django.utils import timezone
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from bokeh.models import HoverTool
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from holoviews.operation import timeseries
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from dateutil.relativedelta import relativedelta
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from .models import Status, Mood
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def moodstats(user):
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hv.extension('bokeh')
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tooltips = [
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('Date', '@date{%F %H:%M}'),
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('Value', '@value')
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]
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formatters = {
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'@date': 'datetime'
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}
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hover = HoverTool(tooltips=tooltips, formatters=formatters)
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pointdict = {"date": [], "value": [], "color": []}
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for status in Status.objects.filter(user=user):
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if status.mood:
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pointdict["date"].append(status.timestamp)
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pointdict["value"].append(status.mood.value)
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pointdict["color"].append(status.mood.color)
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pointframe = pd.DataFrame.from_dict(pointdict)
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points = hv.Points(pointframe)
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points.opts(
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tools=[hover], color='color', cmap='Category20',
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line_color='black', size=25,
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width=600, height=400, show_grid=True)
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pointtuples = [(pointdict["date"][i], pointdict["value"][i]) for i in range(len(pointdict["date"]))]
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line = hv.Curve(pointtuples)
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maxval = Mood.objects.filter(user=user).latest("value").value
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maxy = maxval + max(maxval * 0.1, 1)
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maxx = maxdate.timestamp() * 1000
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minx = maxx - (60*60*24*7) * 1000
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output = points * line * timeseries.rolling(line, rolling_window=7)
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output.opts(ylim=(0, maxy), xlim=(minx, maxx))
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return output
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def activitystats(user):
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output = {}
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for status in Status.objects.filter(user=user):
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for activity in status.activity_set:
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if not activity in output.keys():
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output[activity] = {
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"alltime": 0,
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"yearly": 0,
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"monthly": 0,
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"weekly": 0
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}
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output[activity]["alltime"] += 1
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if status.timestamp > timezone.now() - relativedelta(years=1):
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output[activity]["yearly"] += 1
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if status.timestamp > timezone.now() - relativedelta(months=1):
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output[activity]["monthly"] += 1
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if status.timestamp > timezone.now() - relativedelta(weeks=1):
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output[activity]["weekly"] += 1
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return output |