772 lines
28 KiB
Python
772 lines
28 KiB
Python
# combo - content management system
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# Copyright (C) 2014-2015 Entr'ouvert
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#
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# This program is free software: you can redistribute it and/or modify it
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# under the terms of the GNU Affero General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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import copy
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import os
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import re
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from collections import OrderedDict
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from datetime import date, datetime, timedelta
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import pygal
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import pygal.util
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from dateutil.relativedelta import MO, relativedelta
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from django.conf import settings
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from django.contrib.postgres.fields import JSONField
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from django.db import models, transaction
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from django.template import RequestContext, Template, TemplateSyntaxError, VariableDoesNotExist
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from django.template.defaultfilters import date as format_date
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from django.urls import reverse
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from django.utils import timezone
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from django.utils.dates import WEEKDAYS
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from django.utils.encoding import force_text
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from django.utils.functional import cached_property
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from django.utils.translation import gettext
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from django.utils.translation import ugettext_lazy as _
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from django.utils.translation import ungettext
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from requests.exceptions import RequestException
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from combo.data.library import register_cell_class
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from combo.data.models import CellBase, django_template_validator
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from combo.middleware import get_request
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from combo.utils import get_templated_url, requests, spooler
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class UnsupportedDataSet(Exception):
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pass
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class MissingRequest(Exception):
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pass
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class MissingVariable(Exception):
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pass
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@register_cell_class
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class Gauge(CellBase):
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title = models.CharField(_('Title'), max_length=150, blank=True, null=True)
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url = models.CharField(_('URL'), max_length=150, blank=True, null=True)
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data_source = models.CharField(_('Data Source'), max_length=150, blank=True, null=True)
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jsonp_data_source = models.BooleanField(_('Use JSONP to get data'), default=True)
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max_value = models.PositiveIntegerField(_('Max Value'), blank=True, null=True)
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default_template_name = 'combo/gauge-cell.html'
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class Media:
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js = ('js/gauge.min.js', 'js/combo.gauge.js')
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class Meta:
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verbose_name = _('Gauge')
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def get_additional_label(self):
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return self.title
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def is_relevant(self, context):
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return bool(self.data_source)
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def get_cell_extra_context(self, context):
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if self.jsonp_data_source:
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data_source_url = get_templated_url(self.data_source)
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else:
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data_source_url = reverse('combo-ajax-gauge-count', kwargs={'cell': self.id})
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return {
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'cell': self,
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'title': self.title,
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'url': get_templated_url(self.url) if self.url else None,
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'max_value': self.max_value,
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'data_source_url': data_source_url,
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'jsonp': self.jsonp_data_source,
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}
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@register_cell_class
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class ChartCell(CellBase):
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default_template_name = 'combo/dataviz-chart.html'
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title = models.CharField(_('Title'), max_length=150, blank=True, null=True)
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url = models.URLField(_('URL'), max_length=250, blank=True, null=True)
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class Meta:
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verbose_name = _('Chart (legacy)')
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@classmethod
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def is_enabled(cls):
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return (
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settings.LEGACY_CHART_CELL_ENABLED
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and hasattr(settings, 'KNOWN_SERVICES')
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and settings.KNOWN_SERVICES.get('bijoe')
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)
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def get_default_form_class(self):
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from .forms import ChartForm
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return ChartForm
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def get_additional_label(self):
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if self.title:
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return self.title
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return ''
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def get_cell_extra_context(self, context):
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context = super().get_cell_extra_context(context)
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context['title'] = self.title
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context['url'] = self.url
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return context
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class StatisticManager(models.Manager):
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def get_by_natural_key(self, slug, site_slug, service_slug):
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return self.get_or_create(slug=slug, site_slug=site_slug, service_slug=service_slug)[0]
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class Statistic(models.Model):
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slug = models.SlugField(_('Slug'), max_length=256)
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label = models.CharField(_('Label'), max_length=256)
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site_slug = models.SlugField(_('Site slug'), max_length=256)
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service_slug = models.SlugField(_('Service slug'), max_length=256)
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site_title = models.CharField(_('Site title'), max_length=256)
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url = models.URLField(_('Data URL'))
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filters = JSONField(default=list)
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has_future_data = models.BooleanField(default=False)
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available = models.BooleanField(_('Available data'), default=True)
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last_update = models.DateTimeField(_('Last update'), null=True, auto_now=True)
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objects = StatisticManager()
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class Meta:
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ordering = ['-available', 'site_title', 'label']
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unique_together = ['slug', 'site_slug', 'service_slug']
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def __str__(self):
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name = _('%(title)s: %(label)s') % {'title': self.site_title or self.site_slug, 'label': self.label}
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if not self.available:
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name = _('%s (unavailable)') % name
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return name
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def natural_key(self):
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return (self.slug, self.site_slug, self.service_slug)
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def has_native_support_for_interval(self, time_interval):
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# pylint: disable=not-an-iterable
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return any(
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time_interval == x['id']
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for filter_ in self.filters
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for x in filter_['options']
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if filter_['id'] == 'time_interval'
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)
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TIME_FILTERS = [
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('previous-year', _('Previous year')),
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('current-year', _('Current year')),
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('next-year', _('Next year')),
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('previous-month', _('Previous month')),
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('current-month', _('Current month')),
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('next-month', _('Next month')),
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('previous-week', _('Previous week')),
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('current-week', _('Current week')),
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('next-week', _('Next week')),
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('range', _('Free range (date)')),
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('range-template', _('Free range (template)')),
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]
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@register_cell_class
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class ChartNgCell(CellBase):
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statistic = models.ForeignKey(
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verbose_name=_('Data'),
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to=Statistic,
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blank=False,
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null=True,
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on_delete=models.SET_NULL,
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related_name='cells',
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help_text=_(
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'This list may take a few seconds to be updated, please refresh the page if an item is missing.'
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),
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)
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subfilters = JSONField(default=list)
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filter_params = JSONField(default=dict)
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title = models.CharField(_('Title'), max_length=150, blank=True)
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time_range = models.CharField(
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_('Shown period'),
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max_length=20,
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blank=True,
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choices=TIME_FILTERS,
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)
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time_range_start = models.DateField(_('From'), null=True, blank=True)
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time_range_end = models.DateField(_('To'), null=True, blank=True)
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time_range_start_template = models.CharField(
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_('From'),
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max_length=200,
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blank=True,
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validators=[django_template_validator],
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help_text=_(
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'Template code returning a date. For example, Monday in two weeks would be '
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'today|add_days:"14"|adjust_to_week_monday. Page variables are also accessible.'
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),
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)
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time_range_end_template = models.CharField(
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_('To'),
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max_length=200,
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blank=True,
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validators=[django_template_validator],
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)
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chart_type = models.CharField(
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_('Chart Type'),
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max_length=20,
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default='bar',
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choices=(
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('bar', _('Bar')),
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('horizontal-bar', _('Horizontal Bar')),
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('stacked-bar', _('Stacked Bar')),
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('stacked-bar-percent', _('Stacked Bar (%)')),
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('line', _('Line')),
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('pie', _('Pie')),
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('dot', _('Dot')),
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('table', _('Table')),
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),
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)
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height = models.CharField(
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_('Height'),
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max_length=20,
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default='250',
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choices=(
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('150', _('Short (150px)')),
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('250', _('Average (250px)')),
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('350', _('Tall (350px)')),
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),
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)
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sort_order = models.CharField(
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_('Sort data'),
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max_length=5,
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default='none',
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help_text=_('This setting only applies for one-dimensional charts.'),
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choices=(
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('none', _('None')),
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('alpha', _('Alphabetically')),
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('asc', _('Increasing values')),
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('desc', _('Decreasing values')),
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),
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)
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hide_null_values = models.BooleanField(
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default=False,
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verbose_name=_('Hide null values'),
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help_text=_('This setting only applies for one-dimensional charts.'),
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)
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manager_form_template = 'combo/chartngcell_form.html'
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class Meta:
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verbose_name = _('Chart')
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class Media:
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js = ('js/chartngcell.js',)
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@classmethod
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def is_enabled(cls):
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return settings.KNOWN_SERVICES.get('bijoe') or settings.STATISTICS_PROVIDERS
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def get_default_form_class(self):
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from .forms import ChartNgForm
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return ChartNgForm
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def get_additional_label(self):
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return self.title
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def is_relevant(self, context):
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return bool(self.statistic)
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def check_validity(self):
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if not self.statistic:
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return
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if not self.statistic.url:
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self.mark_as_invalid('missing_statistic_url')
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return
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resp = None
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try:
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resp = self.get_statistic_data()
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except (RequestException, MissingRequest, MissingVariable):
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pass
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self.set_validity_from_url(
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resp, not_found_code='statistic_data_not_found', invalid_code='statistic_url_invalid'
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)
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def get_statistic_data(self, raise_if_not_cached=False, invalidate_cache=False):
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return requests.get(
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self.statistic.url,
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params=self.get_filter_params(),
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cache_duration=300,
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remote_service='auto',
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without_user=True,
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raise_if_not_cached=raise_if_not_cached,
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log_errors=False,
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invalidate_cache=invalidate_cache,
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)
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def get_chart(self, width=None, height=None, raise_if_not_cached=False):
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transaction.on_commit(lambda: spooler.refresh_statistics_data(cell_pk=self.pk))
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response = self.get_statistic_data(raise_if_not_cached)
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response.raise_for_status()
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response = response.json()
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style = pygal.style.DefaultStyle(font_family='"Open Sans", sans-serif', background='transparent')
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chart = {
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'bar': pygal.Bar,
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'horizontal-bar': pygal.HorizontalBar,
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'stacked-bar': pygal.StackedBar,
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'stacked-bar-percent': pygal.StackedBar,
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'line': pygal.Line,
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'pie': pygal.Pie,
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'dot': pygal.Dot,
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'table': pygal.Bar,
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}[self.chart_type](config=pygal.Config(style=copy.copy(style), order_min=0.1, max_scale=5))
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if self.statistic.service_slug == 'bijoe':
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x_labels, y_labels, data = self.parse_response(response, chart)
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chart.x_labels = x_labels
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self.prepare_chart(chart, width, height)
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if chart.axis_count == 1:
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data = self.process_one_dimensional_data(chart, data)
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self.add_data_to_chart(chart, data, y_labels)
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else:
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data = response['data']
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interval = self.filter_params.get('time_interval', '')
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if data['x_labels'] and interval:
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if interval == 'day' or not self.statistic.has_native_support_for_interval(interval):
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self.aggregate_data(data, interval)
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elif interval == 'month':
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data['x_labels'] = [
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format_date(datetime.strptime(x, '%Y-%m'), 'M Y') for x in data['x_labels']
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]
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chart.x_labels = data['x_labels']
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chart.axis_count = min(len(data['series']), 2)
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self.prepare_chart(chart, width, height)
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if chart.axis_count == 1:
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data['series'][0]['data'] = self.process_one_dimensional_data(
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chart, data['series'][0]['data']
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)
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if self.chart_type == 'pie':
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data["series"] = [
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{"label": label, "data": [data]}
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for label, data in zip(chart.x_labels, data["series"][0]["data"])
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if data
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]
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if self.chart_type == 'stacked-bar-percent':
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self.make_percent([serie['data'] for serie in data['series']])
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for serie in data['series']:
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chart.add(serie['label'], serie['data'])
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return chart
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def get_filter_params(self):
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params = {k: self.evaluate_filter_value(v) for k, v in self.filter_params.items() if v}
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now = timezone.now().date()
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if self.time_range == 'current-year':
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params['start'] = date(year=now.year, month=1, day=1)
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params['end'] = date(year=now.year + 1, month=1, day=1)
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elif self.time_range == 'previous-year':
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params['start'] = date(year=now.year - 1, month=1, day=1)
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params['end'] = date(year=now.year, month=1, day=1)
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elif self.time_range == 'next-year':
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params['start'] = date(year=now.year + 1, month=1, day=1)
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params['end'] = date(year=now.year + 2, month=1, day=1)
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elif self.time_range == 'current-month':
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params['start'] = now.replace(day=1)
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params['end'] = now + relativedelta(day=1, months=1)
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elif self.time_range == 'previous-month':
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params['start'] = now + relativedelta(day=1, months=-1)
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params['end'] = now.replace(day=1)
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elif self.time_range == 'next-month':
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params['start'] = now + relativedelta(day=1, months=1)
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params['end'] = now + relativedelta(day=1, months=2)
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elif self.time_range == 'current-week':
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params['start'] = now + relativedelta(weekday=MO(-1))
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params['end'] = now + relativedelta(weekday=MO(+1), days=+1)
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elif self.time_range == 'previous-week':
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params['start'] = now + relativedelta(weekday=MO(-2))
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params['end'] = now + relativedelta(weekday=MO(-1))
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elif self.time_range == 'next-week':
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params['start'] = now + relativedelta(weekday=MO(+1), days=+1)
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params['end'] = now + relativedelta(weekday=MO(+2), days=+1)
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elif self.time_range == 'range':
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if self.time_range_start:
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params['start'] = self.time_range_start
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if self.time_range_end:
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params['end'] = self.time_range_end
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elif self.time_range == 'range-template':
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if self.time_range_start_template:
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start = self.evaluate_range_template(self.time_range_start_template)
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if start:
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params['start'] = start
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if self.time_range_end_template:
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end = self.evaluate_range_template(self.time_range_end_template)
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if end:
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params['end'] = end
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if 'time_interval' in params and not self.statistic.has_native_support_for_interval(
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params['time_interval']
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):
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params['time_interval'] = 'day'
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return params
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def evaluate_range_template(self, value):
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if value in self.page.extra_variables:
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value = self.page.extra_variables[value].strip('{ }')
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context = self.request_context
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context.update({'now': datetime.now, 'today': datetime.now})
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try:
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return Template('{{ %s|date:"Y-m-d" }}' % value).render(context)
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except (VariableDoesNotExist, TemplateSyntaxError):
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return None
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def evaluate_filter_value(self, value):
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if isinstance(value, list) or not value.startswith('variable:'):
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return value
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try:
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variable = self.page.extra_variables[value.replace('variable:', '')]
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except KeyError:
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raise MissingVariable
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return Template(variable).render(self.request_context)
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@cached_property
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def request_context(self):
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if not getattr(self, '_request', None):
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raise MissingRequest
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ctx = RequestContext(self._request, getattr(self._request, 'extra_context', {}))
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ctx['request'] = self._request
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return ctx
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def parse_response(self, response, chart):
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# normalize axis to have a fake axis when there are no dimensions and
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# always a x axis when there is a single dimension.
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data = response['data']
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loop_labels = response['axis'].get('loop') or []
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x_labels = response['axis'].get('x_labels') or []
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y_labels = response['axis'].get('y_labels') or []
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if loop_labels:
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if 'x_labels' in response['axis'] and 'y_labels' in response['axis']:
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# no support for three dimensions
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raise UnsupportedDataSet()
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if not y_labels:
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y_labels = loop_labels
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else:
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x_labels, y_labels = y_labels, loop_labels
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if (
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x_labels
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and y_labels
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and (len(y_labels) != len(data) or not all([len(x) == len(x_labels) for x in data]))
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):
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# varying dimensions
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raise UnsupportedDataSet()
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if not x_labels and not y_labels: # unidata
|
|
x_labels = ['']
|
|
y_labels = ['']
|
|
data = [data]
|
|
chart.axis_count = 0
|
|
elif not x_labels:
|
|
x_labels = y_labels
|
|
y_labels = ['']
|
|
chart.axis_count = 1
|
|
elif not y_labels:
|
|
y_labels = ['']
|
|
chart.axis_count = 1
|
|
else:
|
|
chart.axis_count = 2
|
|
|
|
chart.compute_sum = bool(response.get('measure') == 'integer' and chart.axis_count > 0)
|
|
|
|
formatter = self.get_value_formatter(response.get('unit'), response.get('measure'))
|
|
if formatter is not None:
|
|
chart.config.value_formatter = formatter
|
|
|
|
return x_labels, y_labels, data
|
|
|
|
def prepare_chart(self, chart, width, height):
|
|
chart.config.margin = 0
|
|
if width:
|
|
chart.config.width = width
|
|
if height:
|
|
chart.config.height = height
|
|
if width or height:
|
|
chart.config.explicit_size = True
|
|
chart.config.js = [os.path.join(settings.STATIC_URL, 'js/pygal-tooltips.js')]
|
|
|
|
chart.show_legend = bool(chart.axis_count > 1)
|
|
chart.truncate_legend = 30
|
|
# matplotlib tab10 palette
|
|
chart.config.style.colors = (
|
|
'#1f77b4',
|
|
'#ff7f0e',
|
|
'#2ca02c',
|
|
'#d62728',
|
|
'#9467bd',
|
|
'#8c564b',
|
|
'#e377c2',
|
|
'#7f7f7f',
|
|
'#bcbd22',
|
|
'#17becf',
|
|
)
|
|
|
|
if self.chart_type == 'dot':
|
|
chart.show_legend = False
|
|
# use a single colour for dots
|
|
chart.config.style.colors = ('#1f77b4',) * len(chart.x_labels)
|
|
|
|
if self.chart_type != 'pie':
|
|
if width and width < 500:
|
|
chart.legend_at_bottom = True
|
|
if self.chart_type == 'horizontal-bar':
|
|
# truncate labels
|
|
chart.x_labels = [pygal.util.truncate(x, 15) for x in chart.x_labels]
|
|
else:
|
|
chart.show_legend = True
|
|
if width and width < 500:
|
|
chart.truncate_legend = 15
|
|
|
|
def process_one_dimensional_data(self, chart, data):
|
|
if self.hide_null_values:
|
|
data = self.hide_values(chart, data)
|
|
if data and self.sort_order != 'none':
|
|
data = self.sort_values(chart, data)
|
|
if getattr(chart, 'compute_sum', True) and self.chart_type == 'table':
|
|
data = self.add_total_to_line_table(chart, data)
|
|
return data
|
|
|
|
@staticmethod
|
|
def hide_values(chart, data):
|
|
x_labels, new_data = [], []
|
|
for label, value in zip(chart.x_labels, data):
|
|
if value:
|
|
x_labels.append(label)
|
|
new_data.append(value)
|
|
chart.x_labels = x_labels
|
|
return new_data
|
|
|
|
def sort_values(self, chart, data):
|
|
|
|
if self.sort_order == 'alpha':
|
|
digit_re = re.compile('([0-9]+)')
|
|
|
|
def natural_sort_key(item):
|
|
return [int(text) if text.isdigit() else text.lower() for text in digit_re.split(item[0])]
|
|
|
|
tmp_items = sorted(zip(chart.x_labels, data), key=natural_sort_key)
|
|
|
|
elif self.sort_order == 'asc':
|
|
tmp_items = sorted(zip(chart.x_labels, data), key=lambda x: (x[1] or 0))
|
|
elif self.sort_order == 'desc':
|
|
tmp_items = sorted(zip(chart.x_labels, data), key=lambda x: (x[1] or 0), reverse=True)
|
|
x_labels, sorted_data = zip(*((label, value) for label, value in tmp_items))
|
|
chart.x_labels = list(x_labels)
|
|
return list(sorted_data)
|
|
|
|
@staticmethod
|
|
def add_total_to_line_table(chart, data):
|
|
# workaround pygal
|
|
chart.compute_sum = False
|
|
data.append(sum(x for x in data if x is not None))
|
|
chart.x_labels.append(gettext('Total'))
|
|
return data
|
|
|
|
def add_data_to_chart(self, chart, data, y_labels):
|
|
if self.chart_type != 'pie':
|
|
series_data = []
|
|
for i, serie_label in enumerate(y_labels):
|
|
if chart.axis_count < 2:
|
|
values = data
|
|
else:
|
|
values = [data[i][j] for j in range(len(chart.x_labels))]
|
|
series_data.append(values)
|
|
chart.add(serie_label, values)
|
|
if self.chart_type == 'stacked-bar-percent':
|
|
self.make_percent(series_data)
|
|
else:
|
|
# pie, create a serie by data, to get different colours
|
|
values = data
|
|
for label, value in zip(chart.x_labels, values):
|
|
if not value:
|
|
continue
|
|
chart.add(label, value)
|
|
|
|
@staticmethod
|
|
def get_value_formatter(unit, measure):
|
|
if unit == 'seconds' or measure == 'duration':
|
|
|
|
def format_duration(value):
|
|
if value is None:
|
|
return '-'
|
|
days = value // 86400
|
|
hours = (value % 86400) // 3600
|
|
if days:
|
|
days_string = ungettext('%d day', '%d days', days) % days
|
|
if hours:
|
|
hours_string = ungettext('%d hour', '%d hours', hours) % hours
|
|
if days and hours:
|
|
value = _('%(days_string)s and %(hours_string)s') % {
|
|
'days_string': days_string,
|
|
'hours_string': hours_string,
|
|
}
|
|
elif days:
|
|
value = days_string
|
|
elif hours:
|
|
value = hours_string
|
|
else:
|
|
value = _('Less than an hour')
|
|
return force_text(value)
|
|
|
|
return format_duration
|
|
elif measure == 'percent':
|
|
percent_formatter = lambda x: f'{x:.1f}%'
|
|
return percent_formatter
|
|
|
|
def make_percent(self, series_data):
|
|
for i, values in enumerate(zip(*series_data)):
|
|
sum_values = sum(v for v in values if v is not None)
|
|
if sum_values == 0:
|
|
continue
|
|
|
|
factor = 100 / sum_values
|
|
for values in series_data:
|
|
if values[i] is not None:
|
|
values[i] = round(values[i] * factor, 1)
|
|
|
|
@staticmethod
|
|
def aggregate_data(data, interval):
|
|
series_data = [serie['data'] for serie in data['series']]
|
|
dates = [datetime.strptime(label, '%Y-%m-%d') for label in data['x_labels']]
|
|
min_date, max_date = min(dates), max(dates)
|
|
|
|
date_formats = {
|
|
'day': 'd M Y',
|
|
# Translators: This indicates week number followed by year, for example it can yield W2-2021.
|
|
# First "W" is the first letter of the word "week" and should be translated accordingly, second
|
|
# "W" and "o" are interpreted by Django's date filter and should be left as is. First W is
|
|
# backslash escaped to prevent it from being interpreted, translators should refer to Django's
|
|
# documentation in order to know if the new letter resulting of translation should be escaped or not.
|
|
'week': gettext(r'\WW-o'),
|
|
'month': 'M Y',
|
|
'year': 'Y',
|
|
'weekday': 'l',
|
|
}
|
|
if interval == 'day':
|
|
x_labels = [
|
|
format_date(min_date + timedelta(days=i), date_formats['day'])
|
|
for i in range((max_date - min_date).days + 1)
|
|
]
|
|
elif interval == 'month':
|
|
month_difference = max_date.month - min_date.month + (max_date.year - min_date.year) * 12
|
|
x_labels = [
|
|
format_date(min_date + relativedelta(months=i), date_formats['month'])
|
|
for i in range(month_difference + 1)
|
|
]
|
|
elif interval == 'year':
|
|
x_labels = [str(year) for year in range(min_date.year, max_date.year + 1)]
|
|
elif interval == 'weekday':
|
|
x_labels = [str(label) for label in WEEKDAYS.values()]
|
|
elif interval == 'week':
|
|
x_labels = []
|
|
date, last_date = min_date, max_date
|
|
if min_date.weekday() > max_date.weekday():
|
|
last_date += relativedelta(weeks=1)
|
|
while date <= last_date:
|
|
x_labels.append(format_date(date, date_formats['week']))
|
|
date += relativedelta(weeks=1)
|
|
|
|
aggregates = OrderedDict((label, [0] * len(series_data)) for label in x_labels)
|
|
for i, date in enumerate(dates):
|
|
key = format_date(date, date_formats[interval])
|
|
for j, dummy in enumerate(series_data):
|
|
aggregates[key][j] += series_data[j][i] or 0
|
|
|
|
data['x_labels'] = x_labels
|
|
for i, serie in enumerate(data['series']):
|
|
serie['data'] = [values[i] for values in aggregates.values()]
|
|
|
|
@property
|
|
def available_filters(self):
|
|
return self.statistic.filters + self.subfilters
|
|
|
|
def update_subfilters(self):
|
|
self._request = get_request()
|
|
try:
|
|
response = self.get_statistic_data()
|
|
except (TemplateSyntaxError, VariableDoesNotExist):
|
|
return
|
|
|
|
try:
|
|
response.raise_for_status()
|
|
data = response.json()['data']
|
|
except Exception:
|
|
return
|
|
|
|
new_subfilters = data.get('subfilters', [])
|
|
if self.subfilters != new_subfilters:
|
|
self.subfilters = new_subfilters
|
|
subfilter_ids = {filter_['id'] for filter_ in self.available_filters}
|
|
self.filter_params = {k: v for k, v in self.filter_params.items() if k in subfilter_ids}
|
|
self.save()
|
|
|
|
def get_cache_key(self, filters_cell_id):
|
|
return 'dataviz:%s:%s' % (filters_cell_id, self.pk)
|
|
|
|
|
|
@register_cell_class
|
|
class ChartFiltersCell(CellBase):
|
|
title = _('Filters')
|
|
default_template_name = 'combo/chart-filters.html'
|
|
max_one_by_page = True
|
|
|
|
class Meta:
|
|
verbose_name = _('Filters')
|
|
|
|
@classmethod
|
|
def is_enabled(cls):
|
|
return settings.CHART_FILTERS_CELL_ENABLED and settings.STATISTICS_PROVIDERS
|
|
|
|
def get_cell_extra_context(self, context):
|
|
from .forms import ChartFiltersForm
|
|
|
|
ctx = super().get_cell_extra_context(context)
|
|
if 'filters_cell_id' in context['request'].GET: # detect refresh on submit
|
|
ctx['form'] = ChartFiltersForm(
|
|
data=context['request'].GET,
|
|
page=self.page,
|
|
filters_cell_id=context['request'].GET['filters_cell_id'],
|
|
)
|
|
else:
|
|
ctx['form'] = ChartFiltersForm(page=self.page)
|
|
|
|
return ctx
|