2017-11-30 02:28:54 +00:00
|
|
|
# -*- coding: utf-8 -*-
|
|
|
|
from django.db.models import Count, Sum
|
|
|
|
from django.db.models.functions import TruncDate
|
|
|
|
|
|
|
|
import plotly.offline as plotly
|
|
|
|
import plotly.graph_objs as go
|
|
|
|
|
|
|
|
from core.utils import duration_parts
|
|
|
|
|
|
|
|
from reports import utils
|
|
|
|
|
|
|
|
|
|
|
|
def feeding_duration(instances):
|
|
|
|
"""
|
|
|
|
Create a graph showing average duration of feeding instances over time.
|
|
|
|
|
|
|
|
This function originally used the Avg() function from django.db.models but
|
|
|
|
for some reason it was returning None any time the exact count of entries
|
|
|
|
was equal to seven.
|
|
|
|
|
|
|
|
:param instances: a QuerySet of Feeding instances.
|
|
|
|
:returns: a tuple of the the graph's html and javascript.
|
|
|
|
"""
|
|
|
|
totals = instances.annotate(date=TruncDate('start')) \
|
|
|
|
.values('date') \
|
|
|
|
.annotate(count=Count('id')) \
|
|
|
|
.annotate(sum=Sum('duration')) \
|
|
|
|
.order_by('-date')
|
|
|
|
|
|
|
|
averages = []
|
|
|
|
for total in totals:
|
|
|
|
averages.append(total['sum']/total['count'])
|
|
|
|
|
2017-11-30 16:13:48 +00:00
|
|
|
trace_avg = go.Scatter(
|
2017-11-30 02:28:54 +00:00
|
|
|
name='Average duration',
|
2017-11-30 16:13:48 +00:00
|
|
|
line=dict(shape='spline'),
|
2017-11-30 02:28:54 +00:00
|
|
|
x=list(totals.values_list('date', flat=True)),
|
|
|
|
y=[td.seconds/60 for td in averages],
|
|
|
|
hoverinfo='text',
|
|
|
|
textposition='outside',
|
2017-11-30 16:13:48 +00:00
|
|
|
text=[_duration_string_ms(td) for td in averages]
|
|
|
|
)
|
|
|
|
trace_count = go.Scatter(
|
|
|
|
name='Total feedings',
|
|
|
|
mode='markers',
|
|
|
|
x=list(totals.values_list('date', flat=True)),
|
|
|
|
y=list(totals.values_list('count', flat=True)),
|
|
|
|
yaxis='y2',
|
|
|
|
hoverinfo='y'
|
2017-11-30 02:28:54 +00:00
|
|
|
)
|
|
|
|
|
|
|
|
layout_args = utils.default_graph_layout_options()
|
|
|
|
layout_args['title'] = '<b>Average Feeding Durations</b>'
|
|
|
|
layout_args['xaxis']['title'] = 'Date'
|
|
|
|
layout_args['xaxis']['rangeselector'] = utils.rangeselector_date()
|
|
|
|
layout_args['yaxis']['title'] = 'Average duration (minutes)'
|
2017-11-30 16:13:48 +00:00
|
|
|
layout_args['yaxis2'] = dict(layout_args['yaxis'])
|
|
|
|
layout_args['yaxis2']['title'] = 'Number of feedings'
|
|
|
|
layout_args['yaxis2']['overlaying'] = 'y'
|
|
|
|
layout_args['yaxis2']['side'] = 'right'
|
2017-11-30 02:28:54 +00:00
|
|
|
|
|
|
|
fig = go.Figure({
|
2017-11-30 16:13:48 +00:00
|
|
|
'data': [trace_avg, trace_count],
|
2017-11-30 02:28:54 +00:00
|
|
|
'layout': go.Layout(**layout_args)
|
|
|
|
})
|
|
|
|
output = plotly.plot(fig, output_type='div', include_plotlyjs=False)
|
|
|
|
return utils.split_graph_output(output)
|
|
|
|
|
|
|
|
|
2017-11-30 16:13:48 +00:00
|
|
|
def _duration_string_ms(duration):
|
2017-11-30 02:28:54 +00:00
|
|
|
"""
|
2017-11-30 16:13:48 +00:00
|
|
|
Format a "short" duration string with only minutes and seconds. This is
|
2017-11-30 02:28:54 +00:00
|
|
|
intended to fit better in smaller spaces on a graph.
|
|
|
|
:returns: a string of the form Xm.
|
|
|
|
"""
|
|
|
|
h, m, s = duration_parts(duration)
|
2017-11-30 16:13:48 +00:00
|
|
|
return '{}m{}s'.format(m, s)
|