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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2022-01-31 01:20:50 +00:00
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2019-05-29 17:05:30 +00:00
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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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feeding_types = [
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2022-01-30 23:18:17 +00:00
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'breast milk',
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'formula',
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'fortified breast milk',
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'solid food',
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]
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feeding_types_desc = [
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'Breast milk',
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'Formula',
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'Fortified breast milk',
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'Solid food',
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]
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2022-01-31 01:20:50 +00:00
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total_idx = len(feeding_types) + 1 # +1 for aggregate total
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totals_list = list()
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for i in range(total_idx):
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totals_list.append({})
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2019-05-29 21:36:59 +00:00
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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_list[total_idx-1].keys():
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for item in totals_list:
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item[date] = 0
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feeding_idx = feeding_types.index(instance.type)
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totals_list[feeding_idx][date] += instance.amount or 0
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totals_list[total_idx-1][date] += instance.amount or 0
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zeros = [0 for a in totals_list[total_idx-1].values()]
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# sum each feeding type for graph
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amounts_array = []
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for i in range(total_idx):
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amounts_array.append([round(a, 2) for a in totals_list[i].values()])
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traces = []
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for i in range(total_idx-1):
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traces.append(go.Bar(
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name=feeding_types_desc[i],
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x=list(totals_list[total_idx-1].keys()),
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y=amounts_array[i],
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text=amounts_array[i]
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))
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traces.append(go.Bar(
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name=_('Total'),
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x=list(totals_list[total_idx-1].keys()),
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y=zeros,
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hoverinfo='text',
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textposition='outside',
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2022-01-31 03:31:47 +00:00
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text=amounts_array[total_idx-1],
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showlegend=False
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))
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2019-05-29 17:05:30 +00:00
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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': traces,
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'layout': go.Layout(**layout_args)
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})
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fig.update_layout(barmode='stack')
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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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