mirror of https://github.com/snachodog/mybuddy.git
110 lines
3.7 KiB
Python
110 lines
3.7 KiB
Python
# -*- coding: utf-8 -*-
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from datetime import datetime, timedelta
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from django.utils.translation import gettext as _
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from django.db.models.manager import BaseManager
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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 height_change(
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actual_heights: BaseManager, percentile_heights: BaseManager, birthday: datetime
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):
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"""
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Create a graph showing height over time.
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:param actual_heights: a QuerySet of Height instances.
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:param percentile_heights: a QuerySet of Height Percentile instances.
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:param birthday: a datetime of the child's birthday
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:returns: a tuple of the graph's html and javascript.
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"""
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actual_heights = actual_heights.order_by("-date")
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measuring_dates: list[datetime] = list(
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actual_heights.values_list("date", flat=True)
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)
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measured_heights = list(actual_heights.values_list("height", flat=True))
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actual_heights_trace = go.Scatter(
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name=_("Height"),
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x=measuring_dates,
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y=measured_heights,
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fill="tozeroy",
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mode="lines+markers",
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)
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if percentile_heights:
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dates = list(
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map(
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lambda timedelta: birthday + timedelta,
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percentile_heights.values_list("age_in_days", flat=True),
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)
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)
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# reduce percentile data xrange to end 1 day after last height measurement in for formatting purposes
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# https://github.com/babybuddy/babybuddy/pull/708#discussion_r1332335789
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last_date_for_percentiles = max(measuring_dates) + timedelta(days=2)
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dates = dates[: dates.index(last_date_for_percentiles)]
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percentile_height_3_trace = go.Scatter(
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name=_("P3"),
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x=dates,
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y=list(percentile_heights.values_list("p3_height", flat=True)),
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line={"color": "red"},
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)
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percentile_height_15_trace = go.Scatter(
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name=_("P15"),
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x=dates,
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y=list(percentile_heights.values_list("p15_height", flat=True)),
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line={"color": "orange"},
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)
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percentile_height_50_trace = go.Scatter(
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name=_("P50"),
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x=dates,
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y=list(percentile_heights.values_list("p50_height", flat=True)),
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line={"color": "green"},
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)
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percentile_height_85_trace = go.Scatter(
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name=_("P85"),
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x=dates,
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y=list(percentile_heights.values_list("p85_height", flat=True)),
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line={"color": "orange"},
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)
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percentile_height_97_trace = go.Scatter(
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name=_("P97"),
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x=dates,
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y=list(percentile_heights.values_list("p97_height", flat=True)),
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line={"color": "red"},
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)
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data = [
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actual_heights_trace,
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]
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layout_args = utils.default_graph_layout_options()
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layout_args["barmode"] = "stack"
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layout_args["title"] = _("<b>Height</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"] = _("Height")
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if percentile_heights:
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# zoom in on the relevant dates
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layout_args["xaxis"]["range"] = [
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birthday,
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max(measuring_dates) + timedelta(days=1),
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]
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layout_args["yaxis"]["range"] = [0, max(measured_heights) * 1.5]
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data.extend(
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[
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percentile_height_97_trace,
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percentile_height_85_trace,
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percentile_height_50_trace,
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percentile_height_15_trace,
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percentile_height_3_trace,
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]
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)
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fig = go.Figure({"data": data, "layout": go.Layout(**layout_args)})
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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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