def refresh_content_summary(user, org):
"""
Refresh content summary metrics
"""
since = arg_int('since', 24)
rollup_metric.content_timeseries_to_summary(org, since)
rollup_metric.event_tags_to_summary(org)
return jsonify({'success': True})
def main(n_users=2,
n_event_recipes=10,
n_content_item_recipes=10,
n_subject_tags=10,
n_impact_tags=10,
n_events=500,
n_content_item_timeseries_metrics=10000,
n_org_timeseries_metrics=10000,
n_content_items=50,
verbose=True):
# top level content_items
admin = db_session.query(User).filter_by(
email=settings.SUPER_USER_EMAIL).first()
users = [gen_user() for _ in xrange(n_users)] + [admin]
org = gen_org(users)
impact_tags = gen_impact_tags(org, n_subject_tags)
subject_tags = gen_subject_tags(org, n_impact_tags)
authors = gen_authors(org)
recipes, metrics = gen_built_in_recipes(org)
# generate content_items + metrics
if verbose:
print "generating {} content items".format(n_content_items)
content_items = []
for i in xrange(n_content_items):
content_item = gen_content_item(org, recipes, subject_tags, authors)
content_items.append(content_item)
if verbose:
print "generating {} events".format(n_events)
if verbose:
print "generating {} content item timeseries metrics"\
.format(n_content_item_timeseries_metrics)
gen_content_metric_timeseries(org, content_items, metrics,
n_content_item_timeseries_metrics)
if verbose:
print "generating {} org timeseries metrics"\
.format(n_org_timeseries_metrics)
gen_org_metric_timeseries(org, metrics, n_org_timeseries_metrics)
if verbose:
print "generating {} events"\
.format(n_events)
# generate events
gen_events(org, recipes, impact_tags, content_items, n_events)
db_session.commit()
# rollup metrics
if verbose:
print "rolling up metrics"
rollup_metric.content_timeseries_to_summary(org)
rollup_metric.event_tags_to_summary(org)