def getScoreComponents(user_uuid, start, end):
# The score is based on the following components:
# - Percentage of trips classified. We are not auto-classifying high
# confidence trips, so don't need to handle those here
user = User.fromUUID(user_uuid)
pctClassified = common.getClassifiedRatio(user_uuid, start, end)
(myModeShareCount, avgModeShareCount, myModeShareDistance,
avgModeShareDistance, myModeCarbonFootprint, avgModeCarbonFootprint,
myModeCarbonFootprintNoLongMotorized,
avgModeCarbonFootprintNoLongMotorized, myOptimalCarbonFootprint,
avgOptimalCarbonFootprint, myOptimalCarbonFootprintNoLongMotorized,
avgOptimalCarbonFootprintNoLongMotorized
) = carbon.getFootprintCompareForRange(user.uuid, start, end)
carbon.delLongMotorizedModes(myModeShareDistance)
myAllDrive = carbon.getAllDrive(user.uuid, myModeShareDistance)
myCarbonFootprintSum = sum(myModeCarbonFootprintNoLongMotorized.values())
myOptimalFootprintSum = sum(
myOptimalCarbonFootprintNoLongMotorized.values())
logging.debug(
"myCarbonFootprintSum = %s, myOptimalFootprintSum = %s, myAllDrive = %s"
% (myCarbonFootprintSum, myOptimalFootprintSum, myAllDrive))
handleZero = lambda x, y: 0 if y == 0 else float(x) / y
components = [
pctClassified,
handleZero(myCarbonFootprintSum - myOptimalFootprintSum,
myOptimalFootprintSum),
handleZero(myAllDrive - myCarbonFootprintSum, myAllDrive),
handleZero(sb375DailyGoal - myCarbonFootprintSum, sb375DailyGoal)
]
return components
def getScoreComponents(user_uuid, start, end):
# The score is based on the following components:
# - Percentage of trips classified. We are not auto-classifying high
# confidence trips, so don't need to handle those here
user = User.fromUUID(user_uuid)
pctClassified = common.getClassifiedRatio(user_uuid, start, end)
(myModeShareCount, avgModeShareCount,
myModeShareDistance, avgModeShareDistance,
myModeCarbonFootprint, avgModeCarbonFootprint,
myModeCarbonFootprintNoLongMotorized, avgModeCarbonFootprintNoLongMotorized,
myOptimalCarbonFootprint, avgOptimalCarbonFootprint,
myOptimalCarbonFootprintNoLongMotorized, avgOptimalCarbonFootprintNoLongMotorized) = carbon.getFootprintCompareForRange(user.uuid, start, end)
carbon.delLongMotorizedModes(myModeShareDistance)
myAllDrive = carbon.getAllDrive(user.uuid, myModeShareDistance)
myCarbonFootprintSum = sum(myModeCarbonFootprintNoLongMotorized.values())
myOptimalFootprintSum = sum(myOptimalCarbonFootprintNoLongMotorized.values())
logging.debug("myCarbonFootprintSum = %s, myOptimalFootprintSum = %s, myAllDrive = %s" %
(myCarbonFootprintSum, myOptimalFootprintSum, myAllDrive))
handleZero = lambda x, y: 0 if y == 0 else float(x)/y
components = [pctClassified,
handleZero(myCarbonFootprintSum - myOptimalFootprintSum, myOptimalFootprintSum),
handleZero(myAllDrive - myCarbonFootprintSum, myAllDrive),
handleZero(sb375DailyGoal - myCarbonFootprintSum, sb375DailyGoal)]
return components
def testDelLongMotorizedModesShortLong(self):
testMap = {'bus_short': 1, 'bus_long': 2, 'air_short': 3, 'air_long': 4}
carbon.delLongMotorizedModes(testMap)
self.assertEqual(len(testMap), 2)
self.assertIn('bus_short', testMap)
self.assertIn('bus_long', testMap)
self.assertNotIn('air_short', testMap)
self.assertNotIn('air_long', testMap)
def testDelLongMotorizedModesShortLong(self):
testMap = {
'bus_short': 1,
'bus_long': 2,
'air_short': 3,
'air_long': 4
}
carbon.delLongMotorizedModes(testMap)
self.assertEqual(len(testMap), 2)
self.assertIn('bus_short', testMap)
self.assertIn('bus_long', testMap)
self.assertNotIn('air_short', testMap)
self.assertNotIn('air_long', testMap)
def testDelLongMotorizedModes(self):
testMap = {'bus': 1, 'air': 3}
carbon.delLongMotorizedModes(testMap)
self.assertEqual(len(testMap), 1)
self.assertEqual(testMap, {'bus': 1})
def testDelLongMotorizedModes(self):
testMap = {'bus': 1, 'air': 3}
carbon.delLongMotorizedModes(testMap)
self.assertEqual(len(testMap), 1)
self.assertEqual(testMap, {'bus': 1})
