def setUp(self):
self.app = create_app('testing')
self.app_context = self.app.app_context()
self.app_context.push()
self.client = self.app.test_client()
# An inverted index, mapping UTM (Universal Transverse Mercator) lat/lng
# values geolocating each film, to a LIST of films that were filmed
# at that location.
#
# IMPORTANT!: This is a shared data-structure, built only at startup,
# that is READ-ONLY by all, and so can be safely shared.
invertedPointLocationIndex = InvertedPointLocationIndex()
invertedPointLocationIndex.build_inverted_location_index()
# A KD tree, implemented using the scipy package's kdtree implementation
# under the hood, to allow for fast O(ln) queries of 2D point data. The
# points that it stores are geocoded locations coded in UTM to allow them
# to be treated as 2D points to an approximation.
#
# IMPORTANT!: This is a shared data-structure, built only at startup,
# that is READ-ONLY by all, and so can be safely shared.
filmLocationsKDTree = LocationsKDTree()
filmLocationsKDTree.load_point_data()
filmLocationsKDTree.build_kd_tree()
self.app_context.g.filmlocationsKDTree = filmLocationsKDTree
self.app_context.g.invertedPointLocationIndex = invertedPointLocationIndex
class testLocationsKDTree(unittest.TestCase):
def setUp(self):
self.test = InvertedPointLocationIndex()
self.point_data = self.test.build_inverted_location_index()
def test_lookup_location_single_entry(self):
""" TESTING IF the inverted index returns a single location in an
array if only a single location exists
COMPARING WITH the known 1 points manually selected
Retrieved from MySQL via:
select Locations from Locations group by Locations having count = 1
"""
found_location = self.test.lookup_locations((547809.3901228452, 4180255.2775678867))
self.assertEqual(found_location, [{u'Fun Facts': u"Golden Gate Park is similar in shape but 20% larger than New York's Central Park.", u'Actor 2': u'Jayden C. Smith', u'Title': u'The Pursuit of Happyness', u'Production Company': u'Columbia Pictures Corporation', u'Writer': u'Gabriele Muccino', u'Locations': u"Golden Gate Park Children's Playground ", u'Director': u'Steven Conrad', u'filmid': 941, u'Actor 1': u'Will Smith', u'location_mercator': {u'y': 4180255.2775678867, u'x': 547809.3901228452}, u'Actor 3': u'', u'Distributor': u'Columbia Pictures', u'Release Year': u'2006', u'location': {u'lat': 37.7683778, u'lng': -122.4571623}}])
found_location = self.test.lookup_locations((548452.309670817, 4184076.543236543))
self.assertEqual(found_location, [{u'Fun Facts': u'Suppsedly, the Cow Palace\'s name derives from a newspaper editorial in which the writer wonders whether the soon-to-be-built structure for livestock was a "palace for cows". ', u'Actor 2': u'Ed Harris', u'Title': u'The Right Stuff', u'Production Company': u'The Ladd Company', u'Writer': u'Philip Kaufman', u'Locations': u'Cow Palace', u'Director': u'Philip Kaufman', u'filmid': 943, u'Actor 1': u'Sam Shepard', u'location_mercator': {u'y': 4184076.543236543, u'x': 548452.309670817}, u'Actor 3': u'', u'Distributor': u'The Ladd Company', u'Release Year': u'1983', u'location': {u'lat': 37.8027843, u'lng': -122.4496074}}])
def test_lookup_location_multiple_entry(self):
""" TESTING IF the inverted index returns a multiple filmlocations in an
array if for multiple films at a single location
COMPARING WITH the known 1 points manually selected
Retrieved from MySQL via:
select Locations from Locations group by Locations having count > 1
"""
found_location = self.test.lookup_locations((551392.6450425778, 4181595.6111473767))
self.assertEqual(found_location, [{u'Fun Facts': u'The Dalai Lama opened an exhibition on Wisdom and Compassion at the museum in 1991.', u'Actor 2': u'Chevy Chase', u'Title': u'Foul Play', u'Production Company': u'Paramount Pictures', u'Writer': u'Colin Higgins', u'Locations': u'Asian Art Museum (200 Larkin Street, Civic Center)', u'Director': u'Colin Higgins', u'filmid': 313, u'Actor 1': u'Goldie Hawn', u'location_mercator': {u'y': 4181595.6111473767, u'x': 551392.6450425778}, u'Actor 3': u'', u'Distributor': u'Paramount Pictures', u'Release Year': u'1978', u'location': {u'lat': 37.7802635, u'lng': -122.4163842}}, {u'Fun Facts': u'The Dalai Lama opened an exhibition on Wisdom and Compassion at the museum in 1991.', u'Actor 2': u'Mandy Patinkin', u'Title': u'Maxie', u'Production Company': u'Elsboy Entertainment', u'Writer': u'Patricia Resnick', u'Locations': u'Asian Art Museum (200 Larkin Street, Civic Center)', u'Director': u'Paul Aaron', u'filmid': 541, u'Actor 1': u'Glenn Close', u'location_mercator': {u'y': 4181595.6111473767, u'x': 551392.6450425778}, u'Actor 3': u'Gary Oldman', u'Distributor': u'Orion Pictures Corporation', u'Release Year': u'1985', u'location': {u'lat': 37.7802635, u'lng': -122.4163842}}])
def test_lookup_location_errors(self):
self.assertRaises(LookupException, self.test.lookup_locations, (1,2))
app = create_app(env_configuration) print "Running the " + env_configuration + " configuration ..." setup_app(env_configuration) print "Finished running the " + env_configuration + " configuration ..." # Manager to manage large-scale Flask apps manager = Manager(app) # An inverted index, mapping UTM (Universal Transverse Mercator) lat/lng # values geolocating each film, to a LIST of films that were filmed # at that location. # # IMPORTANT!: This is a shared data-structure, built only at startup, # that is READ-ONLY by all, and so can be safely shared. invertedPointLocationIndex = InvertedPointLocationIndex() invertedPointLocationIndex.build_inverted_location_index() # A KD tree, implemented using the scipy package's kdtree implementation # under the hood, to allow for fast O(ln) queries of 2D point data. The # points that it stores are geocoded locations coded in UTM to allow them # to be treated as 2D points to an approximation. # # IMPORTANT!: This is a shared data-structure, built only at startup, # that is READ-ONLY by all, and so can be safely shared. filmLocationsKDTree = LocationsKDTree() filmLocationsKDTree.load_point_data() filmLocationsKDTree.build_kd_tree() # If the request is for the endpoint 'films_near_me,' which is seeking # the 7 films closest to a user's location, only then do we bother to
def setUp(self):
self.test = InvertedPointLocationIndex()
self.point_data = self.test.build_inverted_location_index()