def getResult(user_uuid):
# This is in here, as opposed to the top level as recommended by the PEP
# because then we don't have to worry about loading bottle in the unit tests
from bottle import template
user = User.fromUUID(user_uuid)
currFootprint = getCarbonFootprint(user)
if currFootprint is None:
currFootprint = carbon.getFootprintCompare(user_uuid)
setCarbonFootprint(user, currFootprint)
(myModeShareCount, avgModeShareCount,
myModeShareDistance, avgModeShareDistance,
myModeCarbonFootprint, avgModeCarbonFootprint,
myModeCarbonFootprintNoLongMotorized, avgModeCarbonFootprintNoLongMotorized, # ignored
myOptimalCarbonFootprint, avgOptimalCarbonFootprint,
myOptimalCarbonFootprintNoLongMotorized, avgOptimalCarbonFootprintNoLongMotorized) = currFootprint
renderedTemplate = template("clients/data/result_template.html",
myModeShareCount = json.dumps(myModeShareCount),
avgModeShareCount = json.dumps(avgModeShareCount),
myModeShareDistance = json.dumps(myModeShareDistance),
avgModeShareDistance = json.dumps(avgModeShareDistance),
myModeCarbonFootprint = json.dumps(myModeCarbonFootprint),
avgModeCarbonFootprint = json.dumps(avgModeCarbonFootprint),
myOptimalCarbonFootprint = json.dumps(myOptimalCarbonFootprint),
avgOptimalCarbonFootprint = json.dumps(avgOptimalCarbonFootprint))
# logging.debug(renderedTemplate)
return renderedTemplate
def testMySummary(self):
(myModeShareCount, avgModeShareCount, myModeShareDistance,
avgModeShareDistance, myModeCarbonFootprint, avgModeCarbonFootprint,
myModeCarbonFootprintNoLongMotorized,
avgModeCarbonFootprintNoLongMotorized, myOptimalCarbonFootprint,
avgOptimalCarbonFootprint, myOptimalCarbonFootprintNoLongMotorized,
avgOptimalCarbonFootprintNoLongMotorized
) = carbon.getFootprintCompare('*****@*****.**')
# >>> m = {'air_long': 0, 'air_short': 0.2, 'bus_long': 0, 'bus_short': 0.3}
# >>> f = [(i, m[i]) for i in m if m[i] != 0]
# >>> f
# [('bus_short', 0.3), ('air_short', 0.2)]
# >>> dict(f)
# {'bus_short': 0.3, 'air_short': 0.2}
filterZero = lambda m: dict([(i, m[i]) for i in m if m[i] != 0])
self.assertEqual(len(myModeShareCount), len(carbon.getDisplayModes()))
self.assertEqual(len(myModeShareDistance),
len(carbon.getDisplayModes()))
# We have duplicated the bus trip to get bus, air and unconfirmed trips.
# we ignore the unconfirmed trip, so only expect to get three values...
self.assertAlmostEqual(sum(myModeShareDistance.values()),
2 * self.busExpect + self.walkExpect,
places=4)
self.assertEqual(
filterZero(myModeShareDistance), {
'bus': self.busExpect,
'walking': self.walkExpect,
'air': self.busExpect
})
logging.debug(filterZero(myModeShareDistance))
self.assertEqual(
filterZero(myModeCarbonFootprint), {
'bus_short': old_div((self.busExpect * self.busCarbon), 1000),
'air_short': old_div((self.busExpect * self.airCarbon), 1000)
})
self.assertEqual(
filterZero(myModeCarbonFootprintNoLongMotorized),
{'bus_short': old_div((self.busExpect * self.busCarbon), 1000)})
self.assertEqual(filterZero(myOptimalCarbonFootprint), {
'air_short':
old_div((self.busExpect * self.busOptimalCarbon), 1000)
})
self.assertEqual(filterZero(myOptimalCarbonFootprintNoLongMotorized),
{})
def getResult(user_uuid):
# This is in here, as opposed to the top level as recommended by the PEP
# because then we don't have to worry about loading bottle in the unit tests
from bottle import template
user = User.fromUUID(user_uuid)
currFootprint = getCarbonFootprint(user)
if currFootprint is None:
currFootprint = carbon.getFootprintCompare(user_uuid)
setCarbonFootprint(user, currFootprint)
(
myModeShareCount,
avgModeShareCount,
myModeShareDistance,
avgModeShareDistance,
myModeCarbonFootprint,
avgModeCarbonFootprint,
myModeCarbonFootprintNoLongMotorized,
avgModeCarbonFootprintNoLongMotorized, # ignored
myOptimalCarbonFootprint,
avgOptimalCarbonFootprint,
myOptimalCarbonFootprintNoLongMotorized,
avgOptimalCarbonFootprintNoLongMotorized) = currFootprint
renderedTemplate = template(
"clients/data/result_template.html",
myModeShareCount=json.dumps(myModeShareCount),
avgModeShareCount=json.dumps(avgModeShareCount),
myModeShareDistance=json.dumps(myModeShareDistance),
avgModeShareDistance=json.dumps(avgModeShareDistance),
myModeCarbonFootprint=json.dumps(myModeCarbonFootprint),
avgModeCarbonFootprint=json.dumps(avgModeCarbonFootprint),
myOptimalCarbonFootprint=json.dumps(myOptimalCarbonFootprint),
avgOptimalCarbonFootprint=json.dumps(avgOptimalCarbonFootprint))
# logging.debug(renderedTemplate)
return renderedTemplate
def testMySummary(self):
(myModeShareCount, avgModeShareCount,
myModeShareDistance, avgModeShareDistance,
myModeCarbonFootprint, avgModeCarbonFootprint,
myModeCarbonFootprintNoLongMotorized, avgModeCarbonFootprintNoLongMotorized,
myOptimalCarbonFootprint, avgOptimalCarbonFootprint,
myOptimalCarbonFootprintNoLongMotorized, avgOptimalCarbonFootprintNoLongMotorized) = carbon.getFootprintCompare('*****@*****.**')
# >>> m = {'air_long': 0, 'air_short': 0.2, 'bus_long': 0, 'bus_short': 0.3}
# >>> f = [(i, m[i]) for i in m if m[i] != 0]
# >>> f
# [('bus_short', 0.3), ('air_short', 0.2)]
# >>> dict(f)
# {'bus_short': 0.3, 'air_short': 0.2}
filterZero = lambda m: dict([(i, m[i]) for i in m if m[i] != 0])
self.assertEqual(len(myModeShareCount), len(carbon.getDisplayModes()))
self.assertEqual(len(myModeShareDistance), len(carbon.getDisplayModes()))
# We have duplicated the bus trip to get bus, air and unconfirmed trips.
# we ignore the unconfirmed trip, so only expect to get three values...
self.assertAlmostEqual(sum(myModeShareDistance.values()), 2 * self.busExpect + self.walkExpect, places = 4)
self.assertEqual(filterZero(myModeShareDistance),
{'bus': self.busExpect,
'walking': self.walkExpect,
'air': self.busExpect})
logging.debug(filterZero(myModeShareDistance))
self.assertEqual(filterZero(myModeCarbonFootprint),
{'bus_short': (self.busExpect * self.busCarbon)/1000,
'air_short': (self.busExpect * self.airCarbon)/1000})
self.assertEqual(filterZero(myModeCarbonFootprintNoLongMotorized),
{'bus_short': (self.busExpect * self.busCarbon)/1000})
self.assertEqual(filterZero(myOptimalCarbonFootprint),
{'air_short': (self.busExpect * self.busOptimalCarbon)/1000})
self.assertEqual(filterZero(myOptimalCarbonFootprintNoLongMotorized),
{})
