def test_batch_import(self):
# setup the pins and activity chunk
admin_user_id = 1
pins = list(Pin.objects.filter(user=admin_user_id)[:3])
activities = [p.create_activity() for p in pins]
# try a batch import
feedly.batch_import(admin_user_id, activities, 10)
def test_batch_import(self):
# setup the pins and activity chunk
admin_user_id = 1
pins = list(Pin.objects.filter(user=admin_user_id)[:3])
activities = [p.create_activity() for p in pins]
# try a batch import
feedly.batch_import(admin_user_id, activities, 10)
def test_memory_usage(self):
'''
Links about debugging memory usage
http://stackoverflow.com/questions/110259/which-python-memory-profiler-is-recommended?answertab=votes#tab-top
http://mg.pov.lt/objgraph/
'''
return
# setup the pins and activity chunk
import objgraph
x = []
y = [x, [x], dict(x=x)]
objgraph.show_refs([y], filename='sample-graph.png')
admin_user_id = 1
pins = list(Pin.objects.filter(user=admin_user_id)[:3])
activities = [p.create_activity() for p in pins]
# try a batch import
for x in range(500):
feedly.batch_import(admin_user_id, activities, 10)
if x % 10 == 0:
print 'growth', x
print objgraph.show_growth(limit=5)
print 'growth'
print objgraph.show_growth(limit=5)
objgraph.show_refs([Mutation], filename='sample-graph.png')
def test_memory_usage(self):
'''
Links about debugging memory usage
http://stackoverflow.com/questions/110259/which-python-memory-profiler-is-recommended?answertab=votes#tab-top
http://mg.pov.lt/objgraph/
'''
return
# setup the pins and activity chunk
import objgraph
x = []
y = [x, [x], dict(x=x)]
objgraph.show_refs([y], filename='sample-graph.png')
admin_user_id = 1
pins = list(Pin.objects.filter(user=admin_user_id)[:3])
activities = [p.create_activity() for p in pins]
# try a batch import
for x in range(500):
feedly.batch_import(admin_user_id, activities, 10)
if x % 10 == 0:
print 'growth', x
print objgraph.show_growth(limit=5)
print 'growth'
print objgraph.show_growth(limit=5)
objgraph.show_refs([Mutation], filename='sample-graph.png')
