def library_autocomplete(request):
"""
'Live' search by name
"""
from search.helpers import package_query
from elasticutils import F
q = request.GET.get('q')
limit = request.GET.get('limit')
try:
limit = int(limit)
except:
limit = settings.LIBRARY_AUTOCOMPLETE_LIMIT
ids = (settings.MINIMUM_PACKAGE_ID, settings.MINIMUM_PACKAGE_ID - 1)
notAddonKit = ~(F(id_number=ids[0]) | F(id_number=ids[1]))
onlyMyPrivateLibs = (F(active=True) | F(author=request.user.id))
try:
qs = (Package.search().query(or_=package_query(q)).filter(type='l')
.filter(notAddonKit).filter(onlyMyPrivateLibs))
found = qs[:limit]
except Exception, ex:
log.exception('Library autocomplete error')
found = []
def package_search(searchq='', user=None, score_on=None, **filters):
"""This provides some sane defaults to filter on when searching Packages"""
# This is a filtered query, that says we want to do a query, but not have
# to deal with version_text='initial' or 'copy'
notInitialOrCopy = ~(F(version_name='initial') | F(version_name='copy'))
qs = Package.search().filter(notInitialOrCopy, **filters)
# Add type facet (minus any type filter)
facetFilter = dict((k, v) for k, v in filters.items() if k != 'type')
if facetFilter:
facetFilter = notInitialOrCopy & F(**facetFilter)
else:
facetFilter = notInitialOrCopy
qs = qs.facet(types={'terms': {'field': 'type'},
'facet_filter': facetFilter.filters})
if searchq:
qs = qs.query(or_=package_query(searchq))
if user and user.is_authenticated():
qs = qs.facet(author={'terms': {
'field': 'author',
'script':'term == %d ? true : false' % user.id}
})
return qs
def package_search(searchq='', user=None, score_on=None, **filters):
"""This provides some sane defaults to filter on when searching Packages"""
# This is a filtered query, that says we want to do a query, but not have
# to deal with version_text='initial' or 'copy'
notInitialOrCopy = ~(F(version_name='initial') | F(version_name='copy'))
qs = Package.search().values_obj('copies_count','times_depended',
'activity','size').filter(notInitialOrCopy,
**filters).filter(F(active=True))
# Add type facet (minus any type filter)
facetFilter = dict((k, v) for k, v in filters.items() if k != 'type')
if facetFilter:
facetFilter = notInitialOrCopy & F(**facetFilter)
else:
facetFilter = notInitialOrCopy
qs = qs.facet(types={'terms': {'field': 'type'},
'facet_filter': facetFilter.filters})
if searchq:
qs = qs.query(or_=package_query(searchq))
if user and user.is_authenticated():
qs = qs.facet(author={'terms': {
'field': 'author',
'script':'term == %d ? true : false' % user.id}
})
return qs
def library_autocomplete(request):
"""
'Live' search by name
"""
from search.helpers import package_query
from elasticutils import F
q = request.GET.get('q')
limit = request.GET.get('limit')
try:
limit = int(limit)
except:
limit = settings.LIBRARY_AUTOCOMPLETE_LIMIT
ids = (settings.MINIMUM_PACKAGE_ID, settings.MINIMUM_PACKAGE_ID - 1)
notAddonKit = ~(F(id_number=ids[0]) | F(id_number=ids[1]))
onlyMyPrivateLibs = (F(active=True) | F(author=request.user.id))
try:
qs = (Package.search().query(or_=package_query(q)).filter(
type='l').filter(notAddonKit).filter(onlyMyPrivateLibs))
found = qs[:limit]
except Exception, ex:
log.exception('Library autocomplete error')
found = []
def test_times_depended_on(self):
foo = create_library('foooooo')
bar = create_addon('barrrr')
bar.latest.dependency_add(foo.latest)
self.es.refresh()
qs = Package.search().filter(times_depended__gte=1)
eq_(len(qs), 1)
eq_(qs[0], foo)
def test_times_depended_on(self):
foo = create_library('foooooo')
bar = create_addon('barrrr')
bar.latest.dependency_add(foo.latest)
self.es.refresh()
qs = Package.search().filter(times_depended__gte=1)
eq_(len(qs), 1)
eq_(qs[0], foo)
def _get_average_activity():
average = cache.get(ACTIVITY_CACHE_KEY)
if average:
return average
# TODO: ES has statistical facet that can provide average, but I couldn't
# get it working.
qs = Package.search().filter(activity__gt=0.001)
values = qs.values('activity')[:qs.count()]
num = len(values)
if num > 0:
average = sum(v[1] for v in values) / num
else:
average = 0.2
cache.set(ACTIVITY_CACHE_KEY, average, 60*60*24)
return average
def _get_average_activity():
average = cache.get(ACTIVITY_CACHE_KEY)
if average:
return average
# TODO: ES has statistical facet that can provide average, but I couldn't
# get it working.
qs = Package.search().filter(activity__gt=0.001)
values = qs.values('activity')[:qs.count()]
num = len(values)
if num > 0:
average = sum(v[1] for v in values) / num
else:
average = 0.2
cache.set(ACTIVITY_CACHE_KEY, average, 60*60*24)
return average
