Remove old plot implementation; add new plot on home
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parent
63908cd837
commit
07bb604eda
15 changed files with 47 additions and 149 deletions
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@ -1,5 +1,5 @@
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from django.db.models import Sum
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from django.db.models.functions import ExtractQuarter, ExtractYear
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from django.db.models import Sum, FloatField, Q
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from django.db.models.functions import TruncMonth
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from django.http import JsonResponse
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from django.views import View
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from django.views.generic.list import MultipleObjectMixin
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@ -44,8 +44,17 @@ class HistoryView(UserMixin, MultipleObjectMixin, View):
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{
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"data": list(
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self.get_queryset()
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.values("category__name", quarter=ExtractQuarter("date"), year=ExtractYear("date"))
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.annotate(Sum("value"))
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.values(month=TruncMonth("date"))
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.annotate(
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sum_p=Sum(
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"value", output_field=FloatField(), filter=Q(value__gt=0)
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),
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sum_m=Sum(
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"value", output_field=FloatField(), filter=Q(value__lt=0)
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),
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sum=Sum("value", output_field=FloatField()),
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)
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.order_by("month")
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)
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}
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)
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31
nummi/main/static/main/js/history_plot.js
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31
nummi/main/static/main/js/history_plot.js
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@ -0,0 +1,31 @@
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import {json} from "https://cdn.skypack.dev/d3-fetch@3";
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import {timeParse} from "https://cdn.skypack.dev/d3-time-format@4";
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import * as Plot from "https://cdn.jsdelivr.net/npm/@observablehq/plot@0.6/+esm";
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const history = await json("/api/history");
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const parseDate = timeParse("%Y-%m-%d");
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console.log(history);
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history["data"].forEach((d) => {
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d.month = parseDate(d.month);
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});
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const data = history["data"];
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let history_plot = Plot.plot({
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x: {
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round: true,
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label: "Month",
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grid: true,
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},
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y: {
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grid: true,
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},
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marks: [
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Plot.areaY(data, {x: "month", y: "sum_p", interval: "month", curve: "bump-x", fill: "#aaccff"}),
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Plot.areaY(data, {x: "month", y: "sum_m", interval: "month", curve: "bump-x", fill: "#ffccaa"}),
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Plot.ruleY([0]),
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Plot.lineY(data, {x: "month", y: "sum", interval: "month", curve: "bump-x", marker: "circle", strokeWidth: 2}),
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],
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insetTop: 20,
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insetBottom: 20,
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});
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document.querySelector("#history_plot").append(history_plot);
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@ -20,8 +20,6 @@
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{{ form }}
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</form>
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{% if form.instance.transactions %}
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<img src="{% url "plot-category" form.instance.id %}"
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alt="Graph representing value over time"/>
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<h2>{% translate "Transactions" %}</h2>
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{% include "main/table/transaction.html" %}
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{% endif %}
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@ -10,6 +10,7 @@
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<link rel="stylesheet"
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href="{% static 'main/css/table.css' %}"
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type="text/css"/>
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<script src="{% static 'main/js/history_plot.js' %}" type="module"></script>
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{% endblock %}
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{% block body %}
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{% if accounts %}
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@ -35,6 +36,7 @@
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{% endfor %}
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</div>
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{% endspaceless %}
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<div id="history_plot"></div>
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{% endif %}
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{% if snapshots %}
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<h2>{% translate "Snapshots" %}</h2>
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@ -233,9 +233,7 @@ class SnapshotUpdateView(NummiUpdateView):
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)
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if _transactions:
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data["categories"] = (
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_transactions.values(
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"category", "category__name", "category__icon"
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)
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_transactions.values("category", "category__name", "category__icon")
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.annotate(
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sum=models.Sum("value"),
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sum_m=models.Sum("value", filter=models.Q(value__lt=0)),
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@ -19,7 +19,6 @@ from django.urls import include, path
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urlpatterns = i18n_patterns(
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path("", include("main.urls")),
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path("plot/", include("plot.urls")),
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path("api/", include("api.urls")),
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path("admin/", admin.site.urls),
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prefix_default_language=False,
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@ -1 +0,0 @@
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# Register your models here.
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@ -1,6 +0,0 @@
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from django.apps import AppConfig
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class PlotConfig(AppConfig):
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default_auto_field = "django.db.models.BigAutoField"
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name = "plot"
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@ -1 +0,0 @@
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# Create your models here.
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@ -1,13 +0,0 @@
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font.family: Inter
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lines.linewidth: 2
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figure.autolayout: True
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figure.figsize: 8, 4
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figure.dpi: 300
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axes.prop_cycle: cycler('color', ["66cc66", "338033", "99ff99", "802653", "cc6699"])
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axes.axisbelow: True
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axes.grid: True
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svg.fonttype: none
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@ -1 +0,0 @@
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# Create your tests here.
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@ -1,9 +0,0 @@
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from django.urls import path
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from . import views
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urlpatterns = [
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path("timeline", views.timeline, name="plot-timeline"),
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path("categories", views.categories, name="plot-categories"),
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path("category/<uuid>", views.category, name="plot-category"),
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]
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@ -1,108 +0,0 @@
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import io
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import matplotlib
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import matplotlib.pyplot as plt
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from django.contrib.auth.decorators import login_required
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from django.db import models
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from django.http import HttpResponse
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from django.shortcuts import get_object_or_404
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from django.utils.translation import gettext as _
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from matplotlib import dates as mdates
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from main.models import Category, Snapshot, Transaction
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matplotlib.use("Agg")
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plt.style.use("./plot/nummi.mplstyle")
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@login_required
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def timeline(request):
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_snapshots = Snapshot.objects.all()
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fig, ax = plt.subplots()
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ax.step(
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[s.date for s in _snapshots],
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[s.value for s in _snapshots],
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where="post",
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)
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ax.set(ylabel=_("Snapshots"), ylim=0)
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ax.xaxis.set_major_formatter(
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mdates.ConciseDateFormatter(ax.xaxis.get_major_locator())
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)
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ax.autoscale(True, "x", True)
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_io = io.StringIO()
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fig.savefig(_io, format="svg")
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return HttpResponse(_io.getvalue(), headers={"Content-Type": "image/svg+xml"})
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@login_required
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def categories(request):
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_categories = Category.objects.filter(budget=True)
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fig, ax = plt.subplots(figsize=(8, _categories.count() / 4))
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ax.barh(
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[str(c) for c in _categories][::-1],
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[
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Transaction.objects.filter(category=c).aggregate(sum=models.Sum("value"))[
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"sum"
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]
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for c in _categories
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][::-1],
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)
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_io = io.StringIO()
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fig.savefig(_io, format="svg")
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return HttpResponse(_io.getvalue(), headers={"Content-Type": "image/svg+xml"})
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@login_required
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def category(request, uuid):
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_category = get_object_or_404(Category, id=uuid)
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_values_p = (
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Transaction.objects.filter(category=_category)
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.filter(value__gt=0)
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.annotate(m=models.functions.TruncMonth("date"))
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.values("m")
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.annotate(sum=models.Sum("value"))
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.order_by("m")
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)
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_values_m = (
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Transaction.objects.filter(category=_category)
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.filter(value__lt=0)
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.annotate(m=models.functions.TruncMonth("date"))
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.values("m")
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.annotate(sum=models.Sum("value"))
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.order_by("m")
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)
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fig, ax = plt.subplots()
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ax.bar(
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[v["m"] for v in _values_p],
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[v["sum"] for v in _values_p],
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width=12,
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color="#66cc66",
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)
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ax.bar(
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[v["m"] for v in _values_m],
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[v["sum"] for v in _values_m],
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width=12,
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color="#cc6699",
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)
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ax.xaxis.set_major_formatter(
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mdates.ConciseDateFormatter(ax.xaxis.get_major_locator())
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)
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ax.autoscale(True, "x", True)
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_ym, _yp = ax.get_ylim()
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ax.set(ylim=(min(_ym, 0), max(_yp, 0)))
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ax.set(ylabel=f"{_category.name} (€)")
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_io = io.StringIO()
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fig.savefig(_io, format="svg")
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return HttpResponse(_io.getvalue(), headers={"Content-Type": "image/svg+xml"})
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