Files
mayan-edms/mayan/apps/statistics/classes.py
2015-09-14 21:57:55 -04:00

193 lines
5.2 KiB
Python

from __future__ import unicode_literals
import json
from celery.schedules import crontab
from djcelery.models import PeriodicTask
from mayan.celery import app
from .models import StatisticResult
class StatisticNamespace(object):
_registry = {}
@classmethod
def get_all(cls):
return cls._registry.values()
@classmethod
def get(cls, slug):
return cls._registry[slug]
def __init__(self, slug, label):
self.slug = slug
self.label = label
self._statistics = []
self.__class__._registry[slug] = self
def __unicode__(self):
return unicode(self.label)
def add_statistic(self, *args, **kwargs):
statistic = Statistic(*args, **kwargs)
statistic.namespace = self
self._statistics.append(statistic)
@property
def statistics(self):
return self._statistics
class Statistic(object):
_registry = {}
@staticmethod
def purge_schedules():
queryset = PeriodicTask.objects.filter(name__startswith='statistics.').exclude(name__in=Statistic.get_task_names())
for periodic_task in queryset:
crontab_instance = periodic_task.crontab
periodic_task.delete()
if crontab_instance and not crontab_instance.periodictask_set.all():
# Only delete the interval if nobody else is using it
crontab_instance.delete()
StatisticResult.objects.filter(
slug__in=queryset.values_list('name', flat=True)
).delete()
@classmethod
def get_all(cls):
return cls._registry.values()
@classmethod
def get(cls, slug):
return cls._registry[slug]
@classmethod
def get_task_names(cls):
return [task.get_task_name() for task in cls.get_all()]
def __init__(self, slug, label, func, renderer, minute='*', hour='*', day_of_week='*', day_of_month='*', month_of_year='*'):
self.slug = slug
self.label = label
self.func = func
self.renderer = renderer
self.schedule = crontab(
minute=minute, hour=hour, day_of_week=day_of_week,
day_of_month=day_of_month, month_of_year=month_of_year,
)
app.conf.CELERYBEAT_SCHEDULE.update(
{
self.get_task_name(): {
'task': 'statistics.tasks.task_execute_statistic',
'schedule': self.schedule,
'args': (self.slug,)
},
}
)
app.conf.CELERY_ROUTES.update(
{
self.get_task_name(): {
'queue': 'statistics'
},
}
)
self.__class__._registry[slug] = self
def __unicode__(self):
return unicode(self.label)
def execute(self):
self.store_results(results=self.func())
def get_task_name(self):
return 'statistics.task_execute_statistic_{}'.format(self.slug)
def store_results(self, results):
StatisticResult.objects.filter(slug=self.slug).delete()
statistic_result, created = StatisticResult.objects.get_or_create(slug=self.slug)
statistic_result.store_data(data=results)
def get_results(self):
try:
return StatisticResult.objects.get(slug=self.slug).get_data()
except StatisticResult.DoesNotExist:
return {'series': {}}
def get_chart_data(self):
return self.renderer(data=self.get_results()).get_chart_data()
class ChartRenderer(object):
def __init__(self, data):
self.data = data
def get_chart_data(self):
raise NotImplementedError
class CharJSLine(ChartRenderer):
template_name = 'statistics/backends/chartjs/line.html'
dataset_palette = (
{
'fillColor': "rgba(220,220,220,0.2)",
'strokeColor': "rgba(220,220,220,1)",
'pointColor': "rgba(220,220,220,1)",
'pointStrokeColor': "#fff",
'pointHighlightFill': "#fff",
'pointHighlightStroke': "rgba(220,220,220,1)",
},
{
'fillColor': "rgba(151,187,205,0.2)",
'strokeColor': "rgba(151,187,205,1)",
'pointColor': "rgba(151,187,205,1)",
'pointStrokeColor': "#fff",
'pointHighlightFill': "#fff",
'pointHighlightStroke': "rgba(151,187,205,1)",
},
)
def get_chart_data(self):
labels = []
datasets = []
for count, serie in enumerate(self.data['series'].items()):
series_name, series_data = serie
dataset_labels = []
dataset_values = []
for data_point in series_data:
dataset_labels.extend(data_point.keys())
dataset_values.extend(data_point.values())
labels = dataset_labels
dataset = {
'label': series_name,
'data': dataset_values,
}
dataset.update(
CharJSLine.dataset_palette[
count % len(CharJSLine.dataset_palette)
]
)
datasets.append(dataset)
data = {
'labels': labels,
'datasets': datasets,
}
return json.dumps(data)