def test():
"""This test is used for sample dataset"""
db = get_db("sample_dataset")
data = load_data("sample.osm.json" )
stats = get_query(data, db)
pipelines = get_pipeline()
result = db.sample.aggregate(pipelines[1])
assert stats == {}
assert result == {u'ok': 1.0, u'result': []}
print "Pass tests"
def test():
"""This test is used for sample dataset"""
db = get_db("sample_dataset")
data = load_data("sample.osm.json" )
stats = get_query(data, db)
pipelines = get_pipeline()
result = db.sample.aggregate(pipelines[1])
assert stats == {}
assert result == {u'ok': 1.0, u'result': []}
print "Pass tests"
def output_result():
"""This function print output for queries"""
db = get_db("las_vegas_map_dataset_R1")
data = load_data("las-vegas_nevada.osm.json")
stats = get_query(data, db) #print number of each type of amenity
print stats
pipelines = get_pipeline()
#describ = ["Hotels as amenity: ", "Hotels as tourism: ", "Malls as amenity: ", "Malls as shop: ", "Top 5 contributors to the map: "] #query before database update (database:las_vegas_map_dataset)
describ = ["Hotels as amenity: ", "Malls as amenity: ", "Top 5 contributors to the map: "] #query after database update (database:las_vegas_map_dataset_R1)
for index in range(len(pipelines)):
result = db.las_vegas_map_dataset_R1.aggregate(pipelines[index])
print describ[index], len(result[u'result'])
pprint.pprint(result) #print result of each pipeline
print "\n"
def output_result():
"""This function print output for queries"""
db = get_db("las_vegas_map_dataset_R1")
data = load_data("las-vegas_nevada.osm.json")
stats = get_query(data, db) #print number of each type of amenity
print stats
pipelines = get_pipeline()
#describ = ["Hotels as amenity: ", "Hotels as tourism: ", "Malls as amenity: ", "Malls as shop: ", "Top 5 contributors to the map: "] #query before database update (database:las_vegas_map_dataset)
describ = ["Hotels as amenity: ", "Malls as amenity: ", "Top 5 contributors to the map: "] #query after database update (database:las_vegas_map_dataset_R1)
for index in range(len(pipelines)):
result = db.las_vegas_map_dataset_R1.aggregate(pipelines[index])
print describ[index], len(result[u'result'])
pprint.pprint(result) #print result of each pipeline
print "\n"
