def call_undo():
print ("#####################################################t")
#SClist1 = "sea,kcy"
SClist2 = e_SVC.get()
#SVList = get_service_chain(SClist1)
SVK = get_service_chain(SClist2)
#SVList = get_key_point(SVList,src,dst)
SVK = get_key_point(SVK,src,dst)
#print(SVK)
topo_2 = network_topo()
logic_map_2 = map()
phy_topy_2 = topy_load()
phy_nodes_2 = topy_parse_node(phy_topy_2)
phy_links_2 = topy_parse_links(phy_topy_2)
# print(phy_nodes)
logic_nodes_2 = logic_map_2.getNodes(phy_nodes_2)
#print(logic_nodes)
logic_links_2 = logic_map_2.getLinks(phy_links_2)
#print(logic_links)
topo_2.topo_discover(logic_nodes_2,logic_links_2)
#topo.topo_discover(NodeList,LinkList)
str_con = e_con.get()
con_src = str_con.split('-')[0]
con_dst = str_con.split('-')[1]
logic_graph_2 = logic_topo_gen (topo_2.get_graph(),con_src,con_dst)
#print(logic_graph.edges())
opt_path = cal_optimal_path(logic_graph_2,SVK)
#topo.show_topo(topo.get_origin_path(src,dst))
color_list = ['r'] * 8
str_prefix = e_prefix.get()
pathset_2 = path_config(opt_path,phy_nodes_2,phy_links_2,str_prefix)
path_adjust_undo(pathset_2)
def call_undo():
print ("#####################################################t")
#SClist1 = "sea,kcy"
SClist2 = e_SVC.get()
#SVList = get_service_chain(SClist1)
SVK = get_service_chain(SClist2)
#SVList = get_key_point(SVList,src,dst)
SVK = get_key_point(SVK,src,dst)
#print(SVK)
topo_2 = network_topo()
logic_map_2 = map()
phy_topy_2 = topy_load()
phy_nodes_2 = topy_parse_node(phy_topy_2)
phy_links_2 = topy_parse_links(phy_topy_2)
# print(phy_nodes)
logic_nodes_2 = logic_map_2.getNodes(phy_nodes_2)
#print(logic_nodes)
logic_links_2 = logic_map_2.getLinks(phy_links_2)
#print(logic_links)
topo_2.topo_discover(logic_nodes_2,logic_links_2)
#topo.topo_discover(NodeList,LinkList)
str_con = e_con.get()
con_src = str_con.split('-')[0]
con_dst = str_con.split('-')[1]
logic_graph_2 = logic_topo_gen (topo_2.get_graph(),con_src,con_dst)
#print(logic_graph.edges())
opt_path = cal_optimal_path(logic_graph_2,SVK)
#topo.show_topo(topo.get_origin_path(src,dst))
color_list = ['r'] * 8
str_prefix = e_prefix.get()
pathset_2 = path_config(opt_path,phy_nodes_2,phy_links_2,str_prefix)
path_adjust_undo(pathset_2)
def topo_get():
topo = network_topo()
logic_map = map()
phy_topy = topy_load()
phy_nodes = topy_parse_node(phy_topy)
phy_links = topy_parse_links(phy_topy)
# print(phy_nodes)
logic_nodes = logic_map.getNodes(phy_nodes)
#print(logic_nodes)
logic_links = logic_map.getLinks(phy_links)
#print(logic_links)
topo.topo_discover(logic_nodes,logic_links)
for item in phy_links:
str_link=''
str_link = str_link + item['src']['name'] + '('+ item['src']['port_ip'][0] +')' + '---->' \
+ item['dst']['name'] + '('+ item['dst']['port_ip'][0] +')' + ' metrics:'+str(item['metric'])
mylist.insert(END, str_link)
origin_path = topo.get_origin_path(src,dst)
str_path = "Path:"
for node in origin_path:
if origin_path.index(node) == len(origin_path)-1:
str_path = str_path + node
else:
str_path = str_path + node + '->'
var.set(str_path)
current_name = 'orgin_path.png'
topo.show_topo(origin_path,logic_nodes,logic_links,current_name)
topo_pic = PhotoImage(file='orgin_path.png')
label_pic.configure(image = topo_pic)
root.update()
time.sleep(5)
def topo_get():
topo = network_topo()
logic_map = map()
phy_topy = topy_load()
phy_nodes = topy_parse_node(phy_topy)
phy_links = topy_parse_links(phy_topy)
# print(phy_nodes)
logic_nodes = logic_map.getNodes(phy_nodes)
#print(logic_nodes)
logic_links = logic_map.getLinks(phy_links)
#print(logic_links)
topo.topo_discover(logic_nodes,logic_links)
for item in phy_links:
str_link=''
str_link = str_link + item['src']['name'] + '('+ item['src']['port_ip'][0] +')' + '---->' \
+ item['dst']['name'] + '('+ item['dst']['port_ip'][0] +')' + ' metrics:'+str(item['metric'])
mylist.insert(END, str_link)
origin_path = topo.get_origin_path(src,dst)
str_path = "Path:"
for node in origin_path:
if origin_path.index(node) == len(origin_path)-1:
str_path = str_path + node
else:
str_path = str_path + node + '->'
var.set(str_path)
current_name = 'orgin_path.png'
topo.show_topo(origin_path,logic_nodes,logic_links,current_name)
topo_pic = PhotoImage(file='orgin_path.png')
label_pic.configure(image = topo_pic)
root.update()
time.sleep(5)
def congestion_proc():
#SClist1 = "sea,kcy"
SClist2 = e_SVC.get()
#SVList = get_service_chain(SClist1)
SVK = get_service_chain(SClist2)
#SVList = get_key_point(SVList,src,dst)
SVK = get_key_point(SVK,src,dst)
#print(SVK)
topo_1 = network_topo()
logic_map_1 = map()
phy_topy_1 = topy_load()
phy_nodes_1 = topy_parse_node(phy_topy_1)
phy_links_1 = topy_parse_links(phy_topy_1)
# print(phy_nodes)
logic_nodes_1 = logic_map_1.getNodes(phy_nodes_1)
#print(logic_nodes)
logic_links_1 = logic_map_1.getLinks(phy_links_1)
#print(logic_links)
topo_1.topo_discover(logic_nodes_1,logic_links_1)
#topo.topo_discover(NodeList,LinkList)
str_con = e_con.get()
con_src = str_con.split('-')[0]
con_dst = str_con.split('-')[1]
logic_graph_1 = logic_topo_gen (topo_1.get_graph(),con_src,con_dst)
#print(logic_graph.edges())
opt_path = cal_optimal_path(logic_graph_1,SVK)
str_path_opt = "Path:"
for node in opt_path:
if opt_path.index(node) == len(opt_path)-1:
str_path_opt = str_path_opt + node
else:
str_path_opt = str_path_opt + node + '->'
var.set(str_path_opt)
print(opt_path)
#topo.show_topo(topo.get_origin_path(src,dst))
color_list = ['r'] * 8
str_prefix = e_prefix.get()
pathset = path_config(opt_path,phy_nodes_1,phy_links_1,str_prefix)
#global_opt_path =copy.copy(pathset)
#print(pathset)
print ("------------------------------------------------t")
print ("set path %s" %pathset)
path_adjust(path_set)
print ("------------------------------------------------t")
print (global_opt_path)
topo_1.show_topo(opt_path,logic_nodes_1,logic_links_1,'path_opt.png')
path_opt_config.append(node_item)
path_set['path'] = path_opt_config
return path_set
if __name__ == "__main__":
SClist1 = "sea,kcy"
SClist2 = "sea"
SVList = get_service_chain(SClist1)
SVK = get_service_chain(SClist2)
SVList = get_key_point(SVList, src, dst)
SVK = get_key_point(SVK, src, dst)
#print(SVK)
topo = network_topo()
logic_map = map()
phy_topy = topy_load()
phy_nodes = topy_parse_node(phy_topy)
phy_links = topy_parse_links(phy_topy)
# print(phy_nodes)
logic_nodes = logic_map.getNodes(phy_nodes)
#print(logic_nodes)
logic_links = logic_map.getLinks(phy_links)
#print(logic_links)
'''
topo.topo_discover(NodeList,LinkList)
path_opt_config.append(node_item)
path_set['path'] = path_opt_config
return path_set
if __name__ == "__main__":
SClist1 = "sea,kcy"
SClist2 = "sea"
SVList = get_service_chain(SClist1)
SVK = get_service_chain(SClist2)
SVList = get_key_point(SVList,src,dst)
SVK = get_key_point(SVK,src,dst)
#print(SVK)
topo = network_topo()
logic_map = map()
phy_topy = topy_load()
phy_nodes = topy_parse_node(phy_topy)
phy_links = topy_parse_links(phy_topy)
# print(phy_nodes)
logic_nodes = logic_map.getNodes(phy_nodes)
#print(logic_nodes)
logic_links = logic_map.getLinks(phy_links)
#print(logic_links)
'''
def congestion_proc():
#SClist1 = "sea,kcy"
SClist2 = e_SVC.get()
#SVList = get_service_chain(SClist1)
SVK = get_service_chain(SClist2)
#SVList = get_key_point(SVList,src,dst)
SVK = get_key_point(SVK,src,dst)
#print(SVK)
topo_1 = network_topo()
logic_map_1 = map()
phy_topy_1 = topy_load()
phy_nodes_1 = topy_parse_node(phy_topy_1)
phy_links_1 = topy_parse_links(phy_topy_1)
# print(phy_nodes)
logic_nodes_1 = logic_map_1.getNodes(phy_nodes_1)
#print(logic_nodes)
logic_links_1 = logic_map_1.getLinks(phy_links_1)
#print(logic_links)
topo_1.topo_discover(logic_nodes_1,logic_links_1)
#topo.topo_discover(NodeList,LinkList)
str_con = e_con.get()
con_src = str_con.split('-')[0]
con_dst = str_con.split('-')[1]
logic_graph_1 = logic_topo_gen (topo_1.get_graph(),con_src,con_dst)
#print(logic_graph.edges())
opt_path = cal_optimal_path(logic_graph_1,SVK)
str_path_opt = "Path:"
for node in opt_path:
if opt_path.index(node) == len(opt_path)-1:
str_path_opt = str_path_opt + node
else:
str_path_opt = str_path_opt + node + '->'
var.set(str_path_opt)
print(opt_path)
#topo.show_topo(topo.get_origin_path(src,dst))
color_list = ['r'] * 8
str_prefix = e_prefix.get()
pathset = path_config(opt_path,phy_nodes_1,phy_links_1,str_prefix)
#global_opt_path =copy.copy(pathset)
#print(pathset)
print ("------------------------------------------------t")
print ("set path %s" %pathset)
path_adjust(path_set)
print ("------------------------------------------------t")
print (global_opt_path)
topo_1.show_topo(opt_path,logic_nodes_1,logic_links_1,'path_opt.png')
