def analyze(dataBase):
analysis = {
'trips': dataBase['trips'],
'vertices': Analysis.numVertices(dataBase),
'edges': Analysis.numEdges(dataBase),
'Clusters': Analysis.numClusters(dataBase)
}
return analysis
def rutaTuristica(dataBase, lon1, lat1, lon2, lat2):
startStation = Analysis.nearbyStations(dataBase, lon1, lat1)
endStation = Analysis.nearbyStations(dataBase, lon2, lat2)
route = Analysis.nearbyRoute(dataBase, startStation, endStation)
return {
'start': Analysis.getStation(dataBase, startStation)['name'],
'end': Analysis.getStation(dataBase, endStation)['name'],
'route': route[0],
'time': secondsToTime(route[1])
}
def mejorHorario(database, area1, area2, time1, time2):
area1 = area1 + '.0'
area2 = area2 + '.0'
time1 = Date.newTime(time1)
time2 = Date.newTime(time2)
trip = Analysis.getBestTime(database, area1, area2, time1, time2)
return Date.secondsToTime(trip[0]), trip[1]
def IdentificarBicicletas(dataBase, bikeID, date):
date = datetime.strptime(date, '%Y-%m-%d')
tracking = Analysis.bikeTracking(dataBase, bikeID, date.date())
tracking['stopTime'] = secondsToTime(tracking['stopTime'])
tracking['useTime'] = secondsToTime(tracking['useTime'])
return tracking
def mvpDia(database, date, n):
date = Date.newDate(date)
wallets = Analysis.getPoints(database, date)
values = []
while (n > len(values)) and (not lt.isEmpty(wallets)):
wallet = lt.removeFirst(wallets)
values.append((wallet.id, wallet.points))
return values
def mvpRango(database, date1, date2, m):
date1 = Date.newDate(date1)
date2 = Date.newDate(date2)
wallets = Analysis.getPointsV2(database, date1, date2)
values = []
while (m > len(values)) and (not lt.isEmpty(wallets)):
wallet = lt.removeFirst(wallets)
values.append((wallet['id'], wallet['points']))
return values
def EstacionesParaPublicidad(dataBase, target):
analysis = Analysis.topTarget(dataBase, target)
analysis = listiterator.newIterator(analysis)
topList = list.newList()
maxVal = 0
switch = True
element = None
if listiterator.hasNext(analysis):
element = listiterator.next(analysis)
maxVal = element['weight']
while switch and listiterator.hasNext(analysis):
element['vertexA'] = Analysis.getStation(dataBase,
element['vertexA'])['name']
element['vertexB'] = Analysis.getStation(dataBase,
element['vertexB'])['name']
list.addLast(topList, element)
element = listiterator.next(analysis)
switch = maxVal == element['weight']
return topList
def estacionesCriticas(dataBase) -> dict:
top3In = list.newList()
top3Out = list.newList()
bot3 = list.newList()
analysis = Analysis.topViajes(dataBase)
i = 0
while i < 3:
list.addLast(top3In, list.removeFirst(analysis[0]))
list.addLast(top3Out, list.removeFirst(analysis[1]))
list.addFirst(bot3, list.removeLast(analysis[2]))
i += 1
del analysis
return (top3In, top3Out, bot3)
def rutasCirculares(dataBase, tiempoi, tiempof, estacioni):
analisis = Analysis.rutasCirculares(dataBase, tiempoi, tiempof, estacioni)
return analisis
def ClustersViajes(dataBase, id1, id2) -> dict:
respuesta = {
'clusters': Analysis.numClusters(dataBase),
'conected': Analysis.sameCluster(dataBase, id1, id2)
}
return respuesta
def ejecutarRutasCirculares(database)->None:
tiempoi = int(input('Ingrese el primero tiempo del rango que desea: '))
tiempof = int(input('Ingrese el segundo tiempo del rango que desea: '))
station1 = input('Ingrese la estacion inicial: ')
analysis = Analysis.rutasCirculares(database, tiempoi, tiempof, station1)
print(f'\n\tSe han encontrado {analysis[0]} rutas circulares las cuales son: {analysis[1]}')