dijkstra: add simple dijkstra

dijsktra.py

@@ -4,16 +4,45 @@ This module holds the logic for the solving
 
 
 class Dijkstra():
-    def __init__(self, graph: dict):
+    def __init__(self, graph: dict, connection: tuple):
         """
         table: matrix with vertex as key, price and prev vertex as value
         OL: open list, to keep track of finished vertecis
         """
         self.graph = graph
         self.table = {}
-        self.OL = []
+        for vertex in graph:
+            self.table.update({vertex: {"distance": 9999999, "prev": None}})
+        self.table[connection[0]]["distance"] = 0
 
     def algorithm(self):
         print("Performing Dijkstra on the following graph...")
         for vertex in self.graph:
             print(f"{vertex}: {self.graph[vertex]}")
+
+        for v1 in self.graph.keys():
+            neighbors = self.graph[v1]
+            for n in neighbors:
+                key = [elem for elem in n.keys()][0]  # name of neighbor node
+                # NOTE: change time or co2 here
+                edge = n[key]["time"]
+                dist = self.table[v1]["distance"] + edge
+                if dist < self.table[key]["distance"]:
+                    self.table[key]["distance"] = dist
+                    self.table[key]["prev"] = v1
+
+        print("self.table:", self.table)
+
+    def print_result(self, connection: tuple):
+        sequence = []
+        (start, dest) = connection
+        # start at destination
+        sequence.append(dest)
+
+        while start not in sequence:
+            # previous jump
+            prev = self.table[sequence[-1]]["prev"]
+            sequence.append(prev)
+
+        sequence.reverse()
+        print(sequence)

file.txt

@@ -10,4 +10,4 @@ FlightSchedule:
 mun_flugh; ber_flugh; 0; True
 
 FindBestConnections:
-csu_zen;   muc
+csu_zen;   reichstag

graph.py

@@ -50,9 +50,8 @@ def calc_time(
             if distance <= 25:
                 return distance / TransportMethod.OEPNV.value.speed
             else:
-                speed = 25 / TransportMethod.OEPNV.value.speed
                 # NOTE: should we subtract here?
-                return speed + ((distance - 25) / TransportMethod.ICE.value.speed)
+                return (distance / TransportMethod.ICE.value.speed)
         case TransportKind.FLYING:
             assert(flights != None)
             assert(frm != None)
@@ -73,6 +72,8 @@ def create_graph(dataset: DataSet) -> dict:
     locations = dataset.locations
     graph: dict = {}
 
+    print("Creating graph...")
+
     # add nodes with no edges
     for start in locations:
         graph.update({start: []})

main.py

@@ -12,12 +12,15 @@ INPUTFILE = "file.txt"
 
 
 def main():
+    # parse inputfile
     dataset: dict = parse(INPUTFILE)
-    # print(dataset)
+    # create graph
+    # TODO: train only on same continent
     graph: dict = create_graph(dataset)
-    # print(graph)
-    dijkstra = Dijkstra(graph)
+    # solve
+    dijkstra = Dijkstra(graph, dataset.connection)
     dijkstra.algorithm()
+    dijkstra.print_result(dataset.connection)
 
 
 if __name__ == "__main__":