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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2022-02-03 22:07:11 +00:00
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from core import models
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2019-05-29 17:05:30 +00:00
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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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2022-02-10 00:00:30 +00:00
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feeding_types, feeding_types_desc = map(
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list, zip(*models.Feeding._meta.get_field("type").choices)
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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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2022-01-30 23:18:17 +00:00
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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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2022-02-10 00:00:30 +00:00
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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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2022-01-31 01:20:50 +00:00
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# sum each feeding type for graph
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amounts_array = []
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2022-01-30 23:18:17 +00:00
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for i in range(total_idx):
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2022-01-31 01:20:50 +00:00
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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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for x in amounts_array[i]:
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if x != 0: # Only include if it has non zero values
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2022-02-10 00:00:30 +00:00
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traces.append(
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go.Bar(
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name=str(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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hovertemplate=str(feeding_types_desc[i]),
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)
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)
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break
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2022-02-10 00:00:30 +00:00
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traces.append(
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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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text=amounts_array[total_idx - 1],
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showlegend=False,
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)
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)
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2022-01-30 23:18:17 +00:00
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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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2022-02-10 00:00:30 +00:00
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layout_args["title"] = _("<b>Total Feeding Amount by Type</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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2019-05-29 17:05:30 +00:00
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2022-02-10 00:00:30 +00:00
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fig = go.Figure({"data": traces, "layout": go.Layout(**layout_args)})
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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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2019-05-29 17:05:30 +00:00
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return utils.split_graph_output(output)
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