def mostConnectedLandingPoint(analyzer):
'''
Calcula los landing points mas conectados
'''
landing_points = gr.vertices(analyzer['connections'])
lp_degs = {} # organize in dict
for lp in lt.iterator(landing_points):
deg_ = gr.degree(analyzer['connections'], lp)
try:
lp_degs[deg_].append(lp)
except Exception as exp:
lp_degs[deg_] = list()
lp_degs[deg_].append(lp)
degs_list = (lp_degs.keys())
max_deg = max(degs_list) # get max degree
max_lps = lp_degs[max_deg]
info_out = {} # save info of each max landing point
for lp in max_lps:
_, _, info_lp = LandingPointNN(analyzer, lp)
neigbors = [int(nn.split('*')[0]) for nn in info_lp.keys()]
lp_id = int(lp.split('*')[0])
lp_info = m.get(analyzer['landing_points'], lp_id)['value']
info_out[lp] = {
'name': lp_info['name'],
'deg': max_deg,
'lat': lp_info['latitude'],
'lon': lp_info['longitude'],
'neighbors': neigbors
}
return max_deg, max_lps, info_out
def addCapitals(analyzer, country):
capital = country['CapitalName'] + "-" + country['CountryName']
addPoint(analyzer, capital)
grado = gr.degree(analyzer['connections'], capital)
if grado == 0:
info = mp.get(analyzer['countries'], country['CountryName'])['value']
latitud = info['CapitalLatitude']
longitud = info['CapitalLongitude']
listaPoints = mp.valueSet(analyzer["landing_points"])
difMasCercana = 100
for point in lt.iterator(listaPoints):
difLat = abs(float(point['latitude']) - float(latitud))
difLon = abs(float(point['longitude']) - float(longitud))
difTot = difLat + difLon
if difTot < difMasCercana:
difMasCercana = difTot
LPmasCercano = point
listaVertices = mp.get(analyzer['points_vertices'],
LPmasCercano['landing_point_id'])['value']
coordOrigen = (float(latitud), float(longitud))
coordDestino = (float(LPmasCercano["latitude"]),
float(LPmasCercano["longitude"]))
distancia = round(hs.haversine(coordOrigen, coordDestino), 2)
for vertice in lt.iterator(listaVertices):
addConnection(analyzer, capital, vertice, distancia)
addConnection(analyzer, vertice, capital, distancia)
def MostConnectionLPs(macrostructure):
final = []
answers = []
vertices = gr.vertices(macrostructure['connections'])
most_connections = 0
for index in range(0, lt.size(vertices)):
vertex = lt.getElement(vertices, int(index))
connections = gr.degree(macrostructure['connections'], vertex)
if connections == most_connections:
answers.append(vertex)
if connections > most_connections:
answers = []
most_connections = connections
answers.append(vertex)
for ver in answers:
info = lt.newList("ARRAY_LIST")
datos = mp.get(macrostructure['lp'], ver)['value']
nom_pais = (lt.getElement(datos, 2)).split(', ')
nombre = nom_pais[0]
pais = nom_pais[1]
lt.addLast(info, nombre)
lt.addLast(info, pais)
lt.addLast(info, ver)
final.append(info)
return final, most_connections
def greaterDegree(ana):
congr = ana['connections']
vertices = gr.vertices(congr)
countries = ana['countries']
points = ana['points']
keysCountries = m.keySet(countries)
mayor = -1
llaves = []
size = lt.size(vertices)
for i in range(0, size):
vertex = lt.getElement(vertices, i)
degree = gr.degree(ana['connections'], vertex)
if degree > mayor:
mayor = degree
llaves = []
llaves.append(vertex)
elif degree == mayor:
llaves.append(vertex)
mayores = lt.newList()
M = folium.Map()
for llave in llaves:
encontrado = False
i = 0
while i < lt.size(keysCountries) and encontrado == False:
country = lt.getElement(keysCountries, i)
info = me.getValue(m.get(countries, country))
cap = info['CapitalName']
if cap == llave:
encontrado = True
lat = info['CapitalLatitude']
lon = info['CapitalLongitude']
loc = lat, lon
name = country + ', ' + cap
folium.Marker(loc,
name,
icon=folium.Icon(color='red',
icon_color='white')).add_to(M)
adj = gr.adjacents(congr, llave)
for i in range(0, lt.size(adj)):
vert = lt.getElement(adj, i)
code = vert.split('*')[0]
info = me.getValue(m.get(points, code))
latP = info['latitude']
lonP = info['longitude']
locP = latP, lonP
name = info['name']
folium.Marker(
locP,
name,
icon=folium.Icon(color='green',
icon_color='white')).add_to(M)
M.save('greater.html')
i += 1
retorno = llave, country
lt.addLast(mayores, retorno)
return mayores, mayor
def totalarcos(catalogo):
lista = lt.newList("ARRAY_LIST")
contador = 0
for x in range(catalogo["listavertices"]["size"]):
vertice = lt.getElement(catalogo["listavertices"], x)
grado = gr.degree(catalogo["conexiones"], vertice)
if grado > 1 and getvertexinfo(catalogo, vertice) != None:
lt.addLast(lista, getvertexinfo(catalogo, vertice))
contador += grado
return lista, contador
def req2(datos):
vertices = gr.vertices(datos['cables'])
tamano = lt.size(vertices)
p = 0
respuesta = {}
while p < int(tamano):
b = lt.getElement(vertices, p)
numero = gr.degree(datos['cables'], b)
respuesta[b] = numero
p += 1
return respuesta
def LPs(analyzer):
LPs = gr.vertices(analyzer['cables'])
ltDeg = lt.newList('ARRAY_LIST', cmpfunction=LPids)
try:
for vertex in lt.iterator(LPs):
lt.addLast(ltDeg, (vertex, gr.degree(analyzer['cables'], vertex)))
ltDegO = sortMaster(ltDeg, cmpDeg)
return ltDegO
except Exception as exp:
error.reraise(exp, 'model:LPs')
def las3_menos_usadas(analyzer):
"retorna el nombre de top3 estaciones con menos uso"
lista_vertices = gr.vertices(analyzer["connections"])
first_iterator = it.newIterator(lista_vertices)
dic_estaciones = {}
while it.hasNext(first_iterator):
estacion = it.next(first_iterator)
viajes = gr.degree(analyzer["connections"], estacion)
dic_estaciones[estacion] = viajes
estaciones = saber_los_menores(dic_estaciones)
rta_1 = buscar_info_estacion(estaciones[0], analyzer)
rta_2 = buscar_info_estacion(estaciones[1], analyzer)
rta_3 = buscar_info_estacion(estaciones[2], analyzer)
rta = [rta_1["name"], rta_2["name"], rta_3["name"]]
return rta
def affectedLPs(macrostructure, lp):
answer = []
affected = []
vertex = lt.getElement((mp.get(macrostructure['lp-names'], lp))['value'],
2)
x = gr.adjacents(macrostructure['connections'], vertex)
y = gr.degree(macrostructure['connections'], vertex)
answer.append(y)
for index in range(1, int(lt.size(x)) + 1):
data = lt.getElement(x, index)
pais = lt.getElement(mp.get(macrostructure['lp'], data)['value'], 2)
edge = gr.getEdge(macrostructure['connections'], vertex, data)
print(edge)
affected.append(pais)
answer.append(affected)
return answer
def añadir_capitales_aburridas(analyzer):
vertices = gr.vertices(analyzer['connections'])
for i in range(lt.size(vertices)):
vertice=(lt.getElement(vertices,i))
mas_corto=10000000
vertice_mas_cercano=('a',1)
if gr.degree(analyzer['connections'],vertice)==0 and len(vertice[0]) > 0 and vertice[1]=='1':
for j in range(lt.size(vertices)):
vertice2=(lt.getElement(vertices,j))
if mp.contains(analyzer['landing'],(vertice2[0])) == True:
pais=me.getValue(mp.get(analyzer['capital_pais'],vertice[0]))
largo_cable = largo_cables(analyzer,vertice2[0],pais)
if largo_cable < mas_corto:
vertice_mas_cercano = vertice2
mas_corto=largo_cable
gr.addEdge(analyzer['connections'],vertice_mas_cercano,vertice,float(mas_corto))
gr.addEdge(analyzer['connections'],vertice,vertice_mas_cercano,float(mas_corto))
def landing_principales(analyzer):
vertices = gr.vertices(analyzer['connections'])
max=0
lista=lt.newList('ARRAYLIST')
for i in range(lt.size(vertices)):
vertice=lt.getElement(vertices,i)
grado=gr.degree(analyzer['connections'],vertice)
if grado == max:
lt.addLast(lista,vertice)
if grado > max:
max=grado
lista=lt.newList('ARRAYLIST')
lt.addFirst(lista,vertice)
vermax=lt.getElement(lista,0)
return vermax[0], max
def req2(catalog):
points = mp.valueSet(catalog['landing_points'])
points_list = lt.newList()
for point in lt.iterator(points):
amount = gr.degree(catalog['connections'], point['landing_point_id'])
if len(point['name'].split(",")) > 1:
element = {
'name': str(point['name']),
'country': str((point['name'].split(",")[1])),
'id': point['landing_point_id'],
'amount': amount
}
else:
element = {
'name': str(point['name']),
'country': str(point['name']),
'id': point['landing_point_id'],
'amount': amount
}
lt.addLast(points_list, element)
return points_list
def estacionesCriticas(analyzer):
cuenta= 0
estaciones= gr.vertices(analyzer["graph"])
listaEntrada= lt.newList("ARRAY_LIST", comparestations)
listaSalida= lt.newList("ARRAY_LIST", comparestations)
listaSolitarias= lt.newList("ARRAY_LIST", comparestations)
entradasConcurridas= lt.newList("ARRAY_LIST", compareSizes)
salidasConcurridas= lt.newList("ARRAY_LIST", compareSizes)
estacionesSolitarias= lt.newList("ARRAY_LIST", compareSizes)
while cuenta<lt.size(estaciones):
estacion= lt.getElement(estaciones, cuenta)
entrada= gr.indegree(analyzer["graph"], estacion)
lt.addFirst(entradasConcurridas,entrada)
salida= gr.outdegree(analyzer["graph"], estacion)
lt.addFirst(salidasConcurridas,salida)
bidireccional= gr.degree(analyzer["graph"], estacion)
lt.addFirst(estacionesSolitarias,bidireccional)
cuenta+= 1
entradasOrg= sel.selectionSort(entradasConcurridas,lessequal)
salidasOrg= sel.selectionSort(salidasConcurridas,lessequal)
solitariasOrg= sel.selectionSort(estacionesSolitarias,lessequal)
for conteo in range(0,3):
if entrada == lt.getElement(entradasOrg, conteo):
lt.insertElement(listaEntrada, estacion, conteo)
if salida == lt.getElement(salidasOrg, conteo):
lt.insertElement(listaSalida, estacion, conteo)
if bidireccional == lt.getElement(solitariasOrg, conteo):
lt.insertElement(listaSolitarias, estacion, conteo)
if lt.size(listaEntrada) > 3:
lt.removeLast(listaEntrada)
if lt.size(listaSalida) > 3:
lt.removeLast(listaSalida)
if lt.size(listaSolitarias) > 3:
lt.removeLast(listaSolitarias)
return (listaEntrada, listaSalida, listaSolitarias)
def addContinentConnection(analyzer):
"""Se consultan cuales nodos del grafo tiene grado 0 y se les realizan las comparaciones necesarias
para encontrar la distancia de los landing points para encontrar el camino más cercano en KM a las
capitales de interés."""
ltVertices = gr.vertices(analyzer['connectionsDistance'])
for element in lt.iterator(ltVertices):
if gr.degree(analyzer['connectionsDistance'], element) == 0:
primero = True
minElement = ""
minDistance = 0
capacity = 0
lstLandingPoints = mp.keySet(analyzer['LandingPointI'])
for key in lt.iterator(lstLandingPoints):
if not (key == element):
distance = CalculateDistance(analyzer, element, key)
if distance == 0:
distance = 100
if primero:
minDistance = distance
minElement = key
minElementInfo = mp.get(analyzer['LandingPointI'], key)
minElementInfo = me.getValue(minElementInfo)
capacity = minElementInfo['MinCapacity_Landing']
primero = False
elif minDistance < distance:
minDistance = distance
minElement = key
minElementInfo = mp.get(analyzer['LandingPointI'], key)
minElementInfo = me.getValue(minElementInfo)
capacity = minElementInfo['MinCapacity_Landing']
addConnectionDistance(analyzer, element, minElement, minDistance)
addConnectionDistance(analyzer, minElement, element, minDistance)
addConnectionCapacity(analyzer, element, minElement, capacity)
addConnectionCapacity(analyzer, minElement, element, capacity)
ltVertices = gr.vertices(analyzer['connectionsDistance'])
return analyzer
def req2(analyzer):
lista_vertices = gr.vertices(analyzer["connections_distance"])
final = lt.newList(datastructure="ARRAY_LIST")
i = 1
while i <= lt.size(lista_vertices):
elem = lt.getElement(lista_vertices, i)
if gr.degree(analyzer["connections_distance"],
elem) > 1 and elem[1] != 0:
lp_id = elem[0]
lp_name = mp.get(analyzer["name_dado_id"], lp_id)["value"]
lista_adyacentes = gr.adjacents(analyzer["connections_distance"],
elem)
ii = 1
e = 0
while ii <= lt.size(lista_adyacentes):
adyacente = lt.getElement(lista_adyacentes, ii)
if adyacente[0] == lp_id:
e += 1
ii += 1
if e >= 1:
lt.addLast(final, (lp_name, e + 1))
i += 1
return final
