line = "-" * max(len(st), len(t))
print(line)
c = Cluster()
session = c.connect()
# initialize the TraversalSource for the DSL using the DSE Python Driver
# https://github.com/datastax/python-dse-driver
killr = Graph().traversal(KillrVideoTraversalSource).withRemote(
DSESessionRemoteGraphConnection(session, "killrvideo"))
print_header("Actors for Young Guns",
"killr.movies('Young Guns').actors().values('name')")
for n in killr.movies("Young Guns").actors().values("name").toList():
print(n)
print_header(
"Ratings Distribution by Age for Young Guns",
"killr.movies('Young Guns').ratings().distribution_for_ages(18, 40)")
ratingsByAge = killr.movies("Young Guns").ratings().distribution_for_ages(
18, 40).next()
print(ratingsByAge)
print_header(
"Failed Validation",
"killr.movies('Young Guns').ratings().distribution_for_ages(17,40)")
try:
killr.movies("Young Guns").ratings().distribution_for_ages(17, 40).next()
except ValueError as ve:
if subtitle:
st = "[" + subtitle + "]"
print(st)
line = "-" * max(len(st), len(t))
print(line)
c = Cluster()
session = c.connect()
# initialize the TraversalSource for the DSL using the DSE Python Driver
# https://github.com/datastax/python-dse-driver
killr = Graph().traversal(KillrVideoTraversalSource).withRemote(DSESessionRemoteGraphConnection(session, "killrvideo"))
print_header("Actors for Young Guns", "killr.movies('Young Guns').actors().values('name')")
for n in killr.movies("Young Guns").actors().values("name").toList():
print(n)
print_header("Ratings Distribution by Age for Young Guns", "killr.movies('Young Guns').ratings().distribution_for_ages(18, 40)")
ratingsByAge = killr.movies("Young Guns").ratings().distribution_for_ages(18, 40).next()
print(ratingsByAge)
print_header("Failed Validation", "killr.movies('Young Guns').ratings().distribution_for_ages(17,40)")
try:
killr.movies("Young Guns").ratings().distribution_for_ages(17, 40).next()
except ValueError as ve:
print(ve.args)
print_header("Five Recommendations for u460", "killr.users('u460').recommend(5, 7).values(KEY_TITLE)")
for r in killr.users("u460").recommend(5, 7).values(KEY_TITLE).toList():
print(r)
line = "-" * max(len(st), len(t))
print(line)
c = Cluster()
session = c.connect()
# initialize the TraversalSource for the DSL using the DSE Python Driver
# https://github.com/datastax/python-dse-driver
killr = Graph().traversal(KillrVideoTraversalSource).withRemote(
DSESessionRemoteGraphConnection(session, "killrvideo"))
print_header("Actors for Young Guns",
"killr.movies('Young Guns').actors().values('name')")
for n in killr.movies("Young Guns").actors().values("name").toList():
print(n)
print_header(
"Ratings Distribution by Age for Young Guns",
"killr.movies('Young Guns').ratings().distribution_for_ages(18, 40)")
ratingsByAge = killr.movies("Young Guns").ratings().distribution_for_ages(
18, 40).next()
print(ratingsByAge)
print_header(
"Failed Validation",
"killr.movies('Young Guns').ratings().distribution_for_ages(17,40)")
try:
killr.movies("Young Guns").ratings().distribution_for_ages(17, 40).next()
except ValueError as ve:
