2019-05-29 17:05:30 +00:00
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# -*- coding: utf-8 -*-
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2019-05-29 21:36:59 +00:00
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from django.utils import timezone
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2019-05-29 17:05:30 +00:00
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from django.utils.translation import gettext as _
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import plotly.offline as plotly
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import plotly.graph_objs as go
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from reports import utils
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def feeding_amounts(instances):
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"""
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Create a graph showing daily feeding amounts over time.
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:param instances: a QuerySet of Feeding instances.
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:returns: a tuple of the the graph's html and javascript.
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"""
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2019-05-29 21:36:59 +00:00
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totals = {}
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for instance in instances:
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end = timezone.localtime(instance.end)
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date = end.date()
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if date not in totals.keys():
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totals[date] = 0
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totals[date] += instance.amount or 0
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amounts = [round(amount, 2) for amount in totals.values()]
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2019-05-29 17:05:30 +00:00
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trace = go.Bar(
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name=_('Total feeding amount'),
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2019-05-29 21:36:59 +00:00
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x=list(totals.keys()),
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2019-05-29 17:05:30 +00:00
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y=amounts,
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hoverinfo='text',
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textposition='outside',
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text=amounts
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)
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layout_args = utils.default_graph_layout_options()
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layout_args['title'] = _('<b>Total Feeding Amounts</b>')
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layout_args['xaxis']['title'] = _('Date')
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layout_args['xaxis']['rangeselector'] = utils.rangeselector_date()
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layout_args['yaxis']['title'] = _('Feeding amount')
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fig = go.Figure({
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'data': [trace],
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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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