mybuddy/reports/graphs/feeding_amounts.py

83 lines
2.5 KiB
Python

# -*- coding: utf-8 -*-
from django.utils import timezone
from django.utils.translation import gettext as _
import plotly.offline as plotly
import plotly.graph_objs as go
from reports import utils
def feeding_amounts(instances):
"""
Create a graph showing daily feeding amounts over time.
:param instances: a QuerySet of Feeding instances.
:returns: a tuple of the the graph's html and javascript.
"""
feeding_types = [
'breast milk',
'formula',
'fortified breast milk',
'solid food',
]
feeding_types_desc = [
'Breast milk',
'Formula',
'Fortified breast milk',
'Solid food',
]
total_idx = len(feeding_types) + 1 # +1 for aggregate total
totals_list = list()
for i in range(total_idx):
totals_list.append({})
for instance in instances:
end = timezone.localtime(instance.end)
date = end.date()
if date not in totals_list[total_idx-1].keys():
for item in totals_list:
item[date] = 0
feeding_idx = feeding_types.index(instance.type)
totals_list[feeding_idx][date] += instance.amount or 0
totals_list[total_idx-1][date] += instance.amount or 0
zeros = [0 for a in totals_list[total_idx-1].values()]
# sum each feeding type for graph
amounts_array = []
for i in range(total_idx):
amounts_array.append([round(a, 2) for a in totals_list[i].values()])
traces = []
for i in range(total_idx-1):
traces.append(go.Bar(
name=feeding_types_desc[i],
x=list(totals_list[total_idx-1].keys()),
y=amounts_array[i],
text=amounts_array[i]
))
traces.append(go.Bar(
name=_('Total'),
x=list(totals_list[total_idx-1].keys()),
y=zeros,
hoverinfo='text',
textposition='outside',
text=amounts_array[total_idx-1]
))
layout_args = utils.default_graph_layout_options()
layout_args['title'] = _('<b>Total Feeding Amounts</b>')
layout_args['xaxis']['title'] = _('Date')
layout_args['xaxis']['rangeselector'] = utils.rangeselector_date()
layout_args['yaxis']['title'] = _('Feeding amount')
fig = go.Figure({
'data': traces,
'layout': go.Layout(**layout_args)
})
fig.update_layout(barmode='stack')
fig.update_yaxes(automargin=True)
fig.update_xaxes(automargin=True)
output = plotly.plot(fig, output_type='div', include_plotlyjs=False)
return utils.split_graph_output(output)