277 lines
9.7 KiB
Python
277 lines
9.7 KiB
Python
import datetime
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import collections
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from django.db.models.functions.datetime import ExtractMonth
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from django.db.models import (Field, NullBooleanField,
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Count,
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)
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from graphos.sources.simple import SimpleDataSource
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from graphos.renderers import gchart
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from notes.models import Sujet
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NOM_MOIS = {
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1: "Janvier",
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2: "Février",
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3: "Mars",
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4: "Avril",
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5: "Mai",
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6: "Juin",
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7: "Juillet",
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8: "Août",
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9: "Septembre",
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10: "Octobre",
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11: "Novembre",
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12: "Décembre"
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}
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# Defines generic labels for common fields
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LABELS = {
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NullBooleanField: {True: "Oui", False: "Non", None: "Ne sait pas"},
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}
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# TODO: Retrieve charts data from cache to avoid recalculating on each request
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class CachedDataSource:
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pass
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# TODO: Clean up...
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class FieldValuesCountDataSource(SimpleDataSource):
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""" Generates data from a limited set of choices.
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"""
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def __init__(self, queryset, field, labels=None, excluded=None):
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self.queryset = queryset
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self.field_name = field.name
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self.excluded = excluded or []
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if not labels:
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if field.__class__ in LABELS:
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labels = LABELS[field.__class__]
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elif field.choices:
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labels = dict(field.choices)
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else:
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raise ValueError("Could not retrieve labels for", field)
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self.labels = labels
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super().__init__(self.create_data())
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def create_data(self):
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data = [(self.field_name, "%s_count" % self.field_name)] # Headers
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data += [
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(self.labels[item[self.field_name]], # Display a label instead of raw values
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item['count']
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) for item in self.queryset.values( # Retrieve all values for field
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self.field_name
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).annotate( # Count occurrences of each value
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count=Count('pk')
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).order_by() # Needed so that counts are aggregated
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# Exclude values that are marked to be ignored
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if (not self.excluded
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or item[self.field_name] not in self.excluded)
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]
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return data
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class PieWrapper(gchart.PieChart):
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""" A wrapper around gchart.PieChart that generates a graph from :
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- a queryset and a model field (NullBooleanField or field with choices)
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OR
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- a data object and title
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"""
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options = {
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'is3D': False,
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'pieSliceText': 'value',
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'legend': {'position': 'labeled', 'maxLines': 3, 'textStyle': {'fontSize': 16, }},
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}
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height = 400
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width = 800
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def __init__(self,
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queryset=None, field=None,
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data=None, title=None,
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null_values=None,
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**kwargs):
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if data is None:
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if not isinstance(field, Field):
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raise TypeError(field, 'must be a child of django.models.db.fields.Field !')
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data_source = FieldValuesCountDataSource(
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queryset, field,
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excluded=null_values,
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labels=None # TODO: How to pass in labels ??
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)
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else:
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data_source = SimpleDataSource(data=data)
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options = self.options.copy()
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options.update(
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title=getattr(field, 'verbose_name', title)
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)
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super().__init__(data_source,
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options=options,
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width=kwargs.get('width', self.width),
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height=kwargs.get('height', self.height),
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)
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def get_js_template(self):
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return "statistiques/gchart/pie_chart.html"
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def get_html_template(self):
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return "statistiques/gchart/html.html"
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class ColumnWrapper(gchart.ColumnChart):
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options = {
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'is3D': False,
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'legend': {'position': 'labeled', 'maxLines': 3, 'textStyle': {'fontSize': 16, }},
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'title': 'test',
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}
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def __init__(self, *args, **kwargs):
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kwargs.update(options=self.options.copy())
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super().__init__(*args, **kwargs)
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class DonneeGeneraleChart(gchart.BarChart):
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def __init__(self, maraudes=None, rencontres=None, sujets=None):
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data = [("...", "Soirée", "Journée", {'role': 'annotation'})]
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data += [("Maraudes", maraudes[2].count(), maraudes[1].count(), maraudes[0].count())]
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data += [("Rencontres", rencontres[2].count(), rencontres[1].count(), rencontres[0].count())]
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if sujets:
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data += [("Nouvelles rencontres", sujets[2].count(), sujets[1].count(), sujets[0].count())]
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super().__init__(SimpleDataSource(data), options={'title': 'Données générales', 'isStacked': 'percent'})
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def generate_piechart_for_field(field):
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""" Returns a PieWrapper subclass working with a fixed field """
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class FieldChart(PieWrapper):
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def __init__(self, queryset):
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super().__init__(queryset, field)
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return FieldChart
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class GenrePieChart(PieWrapper):
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def __init__(self, queryset):
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queryset = Sujet.objects.filter(pk__in=queryset.values_list('pk'))
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super().__init__(queryset, Sujet._meta.get_field('genre'))
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class AgePieChart(PieWrapper):
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""" Chart for 'age' field of Sujet model """
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labels = (('Mineurs', range(0, 18)),
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('18-24', range(18, 25)),
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('25-34', range(25, 35)),
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('35-44', range(35, 45)),
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('45-54', range(45, 55)),
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('+ de 55', range(55, 110)),
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)
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def count_nbr_sujets(self, age_rng):
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return self.queryset.filter(age__in=age_rng).count()
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def __init__(self, queryset):
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data = [("age", "count")]
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if queryset:
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self.queryset = Sujet.objects.filter(pk__in=queryset.values_list('pk'))
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data += [(label, self.count_nbr_sujets(rg)) for label, rg in self.labels]
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data += [("Ne sait pas", self.queryset.filter(age=None).count())]
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super().__init__(data=data, title="Âge")
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class RencontreParSujetChart(PieWrapper):
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labels = (('Rencontre unique', (1,)),
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('Entre 2 et 5 rencontres', range(2, 6)),
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('Entre 6 et 20 rencontres', range(6, 20)),
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('Plus de 20 rencontres', range(20, 999)),
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)
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def get_count_for_range(self, rng):
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return self.queryset.filter(nbr__in=rng).count()
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def __init__(self, queryset):
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data = [('Type de rencontre', 'Nombre de sujets')]
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if queryset:
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self.queryset = queryset.values('sujet').annotate(nbr=Count('pk')).order_by()
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data += [(label, self.get_count_for_range(rg)) for label, rg in self.labels]
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super().__init__(data=data,
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title='Fréquence de rencontres'
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)
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class RencontreParMoisChart(gchart.ColumnChart):
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def __init__(self, queryset):
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data = [("Mois", "Rencontres")]
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if queryset:
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par_mois = queryset.annotate(
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mois=ExtractMonth('created_date')
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).values(
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'mois'
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).annotate(
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nbr=Count('pk')
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).order_by()
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data += [(NOM_MOIS[item['mois']], item['nbr']) for item in par_mois]
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else:
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data += [("Mois", 0)]
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super().__init__(SimpleDataSource(data),
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options={
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"title": "Nombre de rencontres par mois"
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}
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)
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class RencontreParHeureChart(gchart.AreaChart):
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def __init__(self, queryset):
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data = [("Heure", "Rencontres démarrées", "Au total (démarré + en cours)")]
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if queryset:
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par_heure = self.calculer_frequentation(queryset, continu=False)
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en_continu = self.calculer_frequentation(queryset, continu=True)
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data += [(heure, par_heure[heure], en_continu[heure]) for heure in sorted(par_heure.keys())]
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else:
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data += [("Heure", 0, 0)]
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super().__init__(SimpleDataSource(data),
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options={
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"title": "Fréquentation de la maraude en fonction de l'heure (par quart d'heure)"
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}
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)
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@staticmethod
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def calculer_frequentation(observations, step=15, continu=False):
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def find_intervalle(temps):
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return datetime.time(temps.hour, temps.minute // step * step)
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def range_over_intervalles(rencontre):
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""" Génère tous les intervalles contenus entre le début et la fin de la rencontre """
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curseur = find_intervalle(rencontre.heure_debut)
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# Convertir en objet datetime
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curseur = datetime.datetime.now().replace(hour=curseur.hour,
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minute=curseur.minute)
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debut = datetime.datetime.now().replace(hour=rencontre.heure_debut.hour,
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minute=rencontre.heure_debut.minute)
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fin = debut + datetime.timedelta(0, rencontre.duree * 60)
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delta = datetime.timedelta(0, step * 60)
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while curseur < fin:
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yield datetime.time(curseur.hour, curseur.minute)
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curseur += delta
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data = collections.defaultdict(lambda: 0)
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for rencontre in map(lambda o: o.rencontre, observations):
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if not continu:
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data[find_intervalle(rencontre.heure_debut)] += 1
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else:
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for intervalle in range_over_intervalles(rencontre):
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data[intervalle] += 1
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return data
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