def cacheTSMetaByTypeForAlpha(qtype, alphabet):
r = requests.get(
str("%s:%d%s?type=%s&q=%s&%s" %
(config['dataprovider']['uri'], config['dataprovider']['port'],
config['dataprovider']['search_endpoint'], qtype, alphabet,
CACHE_QUERY_PARAMS)))
metricList = r.json()
if qtype == 'metrics':
newList = [{
'_id': "metric:%s" % (m),
'name': m,
'type': 'metric'
} for m in metricList]
else:
newList = [{
'_id': "%s:%s" % (qtype, m),
'name': m,
'type': qtype
} for m in metricList]
if len(newList) < 1:
return {'status': 'No metrics', 'query': alphabet, 'type': qtype}
mcd = MetricCacheDatastore(
**dict([(k, v)
for k, v in config['cache']['datastore']['mongodb'].items()] +
[('retention_period',
config['cache']['retention_period'] * 60)]))
resp = mcd.bulkCache(newList)
mcd.close()
return {
'status': "refreshed %d" % (len(newList)),
'query': alphabet,
'type': qtype,
'response': resp
}
def expire_metrics_cache():
mcd = MetricCacheDatastore(
**dict([(k, v)
for k, v in config['cache']['datastore']['mongodb'].items()] +
[('retention_period',
config['cache']['retention_period'] * 60)]))
return mcd.expireCache()