def metrics_mapping(cls):
mapping = {
'type': 'object',
'index_name': 'metrics',
'properties': {}
}
for name, metric in Metric.get_for(cls).items():
mapping['properties'][metric.name] = {'type': metrics_types[metric.value_type]}
return mapping
def metrics():
metrics = Metrics.objects.last_for("site")
specs = Metric.get_for("site")
values = metrics.values if metrics else {}
return render(
"metrics.html",
metrics=dict(
(key, {"value": values.get(key, spec.default), "label": spec.display_name}) for key, spec in specs.items()
),
)
def yield_csv_catalog(datasets):
'''Yield a dataset catalog line by line'''
csvfile = StringIO.StringIO()
writer = unicodecsv.writer(csvfile, encoding='utf-8', delimiter=b',', quotechar=b'"')
# Generate header
specs = Metric.get_for(Dataset)
writer.writerow(header(specs))
yield csvfile.getvalue()
for dataset in datasets:
csvfile = StringIO.StringIO()
writer = unicodecsv.writer(csvfile, encoding='utf-8', delimiter=b',', quotechar=b'"')
writer.writerow(to_row(dataset, specs))
yield csvfile.getvalue()
def update_discussions_metric(discussion, **kwargs):
model = discussion.subject.__class__
for name, cls in Metric.get_for(model).items():
if issubclass(cls, DiscussionsMetric):
cls(target=discussion.subject).trigger_update()
def metrics_mapping_for(cls):
props = {}
for name, metric in Metric.get_for(cls).items():
props[metric.name] = metrics_types[metric.value_type]()
return Object(properties=props)
def update_issues_metric(issue):
model = issue.subject.__class__
for name, cls in Metric.get_for(model).items():
if issubclass(cls, IssuesMetric):
cls(target=issue.subject).trigger_update()
def update_site_metrics():
from udata.core.metrics import Metric
metrics = Metric.get_for('site')
for metric in metrics.values():
metric.update()
def update_metrics_for(obj):
from udata.core.metrics import Metric
metrics = Metric.get_for(obj.__class__)
for metric in metrics.values():
metric(obj).compute()
def update_discussions_metric(discussion, **kwargs):
model = discussion.subject.__class__
for name, cls in Metric.get_for(model).items():
if issubclass(cls, DiscussionsMetric):
cls(target=discussion.subject).trigger_update()
def metric_fields(cls):
return [("metric.{0}".format(key), _metric_getter(key, spec)) for key, spec in Metric.get_for(cls).items()]
def update_site_metrics():
from udata.core.metrics import Metric
from udata.models import Site
metrics = Metric.get_for(Site)
for metric in metrics.values():
metric.update()
def update_metrics_for(obj):
from udata.core.metrics import Metric
metrics = Metric.get_for(obj.__class__)
for metric in metrics.values():
metric(obj).compute()
def test_get_for(self):
"""All metrics should be registered"""
self.assertEqual(Metric.get_for(FakeModel), {"fake": FakeMetric})
def test_get_for(self):
'''All metrics should be registered'''
metrics = Metric.get_for(FakeModel)
assert 'fake' in metrics
assert metrics['fake'] is FakeMetric
def update_badges_metric(badge, **kwargs):
model = badge.subject.__class__
for name, cls in Metric.get_for(model).items():
if issubclass(cls, BadgesMetric):
cls(target=badge.subject).trigger_update()
def test_get_for(self):
'''All metrics should be registered'''
metrics = Metric.get_for(FakeModel)
assert 'fake' in metrics
assert metrics['fake'] is FakeMetric
def metric_fields(cls):
return [('metric.{0}'.format(key), _metric_getter(key, spec))
for key, spec in Metric.get_for(cls).items()]
def metrics_mapping_for(cls):
props = {}
for name, metric in Metric.get_for(cls).items():
props[metric.name] = metrics_types[metric.value_type]()
return Object(properties=props)
def update_issues_metric(issue, **kwargs):
model = issue.subject.__class__
for name, cls in Metric.get_for(model).items():
if issubclass(cls, IssuesMetric):
cls(target=issue.subject).trigger_update()
def test_get_for(self):
'''All metrics should be registered'''
self.assertEqual(Metric.get_for(FakeModel), {
'fake': FakeMetric,
})
