def prov(request):
"""
a view that will call all the methods for creating and persisting provenance graphs for each action
"""
provManager = ProvManager()
post = request.POST
if post['actionPerformed'] == 'tripCreation':
bundle = provManager.createTripCreationGraph(post['userName'], post['userEmail'], post['tripId'],\
simplejson.loads(post['tripLegIds']), post['startTime'], post['endTime'])
trip = models.Trip.objects.get(id=post['tripId'])
trip.provBundle = bundle
trip.save()
json = simplejson.dumps( {'status': 'OK'} )
return HttpResponse(json, mimetype='application/json')
def getProvNodeInfo(request):
provManager = ProvManager()
returnValues = provManager.getProvNodeInfo(request.GET['id'])
return HttpResponse(json.dumps(returnValues, cls=DjangoJSONEncoder), mimetype="application/json")
def deleteTempProvImg(request):
provManager = ProvManager()
provManager.deleteTempProvGraphImage()
def getStaticProvGraph(request):
provManager = ProvManager()
returnValues = provManager.createTempProvGraphImage(request.GET['provBundleId'])
return HttpResponse(json.dumps(returnValues, cls=DjangoJSONEncoder), mimetype="application/json")
def computeTripLegsEmissions(request):
startTime = datetime.datetime.now()
post = request.POST
transportMeanType = post['transportMeanType']
gmaps = GoogleMaps(GOOGLE_MAPS_API_KEY)
startLatLong = simplejson.loads(post['startLatLong'])
endLatLong = simplejson.loads(post['endLatLong'])
directions = gmaps.directions(gmaps.latlng_to_address(startLatLong[0], startLatLong[1]), \
gmaps.latlng_to_address(endLatLong[0], endLatLong[1]) )
drivingDistance = Decimal(directions['Directions']['Distance']['meters']) / 1000
tripLeg= models.TripLeg.objects.get(id=post['tripLegId'])
#get the transport mean used during this trip leg
transportMean = tripLeg.transportMean
if post['calculationMethod'] == 'tier1':
#get tier1 calculation method id
calculationMethod = models.C02CalculationMethod.objects.get(tier='1')
if transportMeanType == 'generalCar':
#get emission factor corresponding to this general car
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.GeneralCar),\
transportMean_id=transportMean.id).emissionFactor
elif transportMeanType == 'bus':
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.Bus),\
transportMean_id=transportMean.id).emissionFactor
elif transportMeanType == 'taxi':
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.Taxi),\
transportMean_id=transportMean.id).emissionFactor
elif transportMeanType == 'motorcycle':
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.Motorcycle),\
transportMean_id=transportMean.id).emissionFactor
elif transportMeanType == 'ferry':
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.Ferry),\
transportMean_id=transportMean.id).emissionFactor
elif transportMeanType == 'rail':
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.Rail),\
transportMean_id=transportMean.id).emissionFactor
elif transportMeanType == 'airplane':
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.Airplane),\
transportMean_id=transportMean.id).emissionFactor
ghgEmissions = drivingDistance * emissionFactor.directGHGEmissions
#save the computed value
tripLegEmission = models.TripLegCarbonEmission.objects.create(tripLeg=tripLeg, method=calculationMethod,\
emissionFactor=emissionFactor, emissions=ghgEmissions)
elif post['calculationMethod'] == 'tier2':
#get tier2 calculation method id
calculationMethod = models.C02CalculationMethod.objects.get(tier='2')
#get emission factor corresponding to the specific car model
emissionFactor = models.TransportMeanEmissionFactor.objects.get(transportMean_content_type=ContentType.objects.get_for_model(models.Car),\
transportMean_id=transportMean.id).emissionFactor
ghgEmissions = drivingDistance * emissionFactor.directGHGEmissions
#save the computed value
tripLegEmission = models.TripLegCarbonEmission.objects.create(tripLeg=tripLeg, method=calculationMethod,\
emissionFactor=emissionFactor, emissions=ghgEmissions)
endTime = datetime.datetime.now()
#createProvenanceGraph
provManager = ProvManager()
bundle = provManager.createTripLegEmissionGraph(tripLegEmission.id, calculationMethod.id, transportMean.id, transportMeanType,\
emissionFactor.id, emissionFactor.source.id, drivingDistance, tripLeg.id, tripLeg.startAddress.id,\
tripLeg.endAddress.id, startTime, endTime)
tripLegEmission.provBundle = bundle
tripLegEmission.save()
json = simplejson.dumps( {'status': 'OK'} )
return HttpResponse(json, mimetype='application/json')
