all tests passed after cache

backend/src/optimization/optimizer.py

@@ -55,6 +55,9 @@ class Optimizer:
             self.average_walking_speed = parameters['average_walking_speed']
             self.max_landmarks = parameters['max_landmarks']
             self.overshoot = parameters['overshoot']
+            self.time_limit = parameters['time_limit']
+            self.gap_rel = parameters['gap_rel']
+            self.max_iter = parameters['max_iter']
 
 
     def init_ub_time(self, prob: pl.LpProblem, x: pl.LpVariable, L: int, landmarks: list[Landmark], max_time: int):
@@ -573,7 +576,10 @@ class Optimizer:
         prob, x = self.pre_processing(L, landmarks, max_time, max_landmarks)
 
         # Solve the problem and extract results.
-        prob.solve(pl.PULP_CBC_CMD(msg=False, gapRel=0.1, timeLimit=3, warmStart=False))
+        try :
+            prob.solve(pl.PULP_CBC_CMD(msg=False, timeLimit=self.time_limit+1, gapRel=self.gap_rel))
+        except Exception as exc :
+            raise Exception(f"No solution found: {exc}") from exc 
         status = pl.LpStatus[prob.status]
         solution = [pl.value(var) for var in x]  # The values of the decision variables (will be 0 or 1)
 
@@ -588,18 +594,21 @@ class Optimizer:
         circles = self.is_connected(solution)
 
         i = 0
-        timeout = 15
         while circles is not None :
             i += 1
-            if i == timeout :
-                self.logger.error(f'Timeout: No solution found after {timeout} iterations.')
-                raise TimeoutError(f"Optimization took too long. No solution found after {timeout} iterations.")
+            if i == self.max_iter :
+                self.logger.error(f'Timeout: No solution found after {self.max_iter} iterations.')
+                raise TimeoutError(f"Optimization took too long. No solution found after {self.max_iter} iterations.")
 
             for circle in circles :
                 self.prevent_circle(prob, x, circle, L)
 
             # Solve the problem again
-            prob.solve(pl.PULP_CBC_CMD(msg=False))
+            try :
+                prob.solve(pl.PULP_CBC_CMD(msg=False, timeLimit=self.time_limit, gapRel=self.gap_rel))
+            except Exception as exc :
+                raise Exception(f"No solution found: {exc}") from exc 
+        
             solution = [pl.value(var) for var in x]
 
             if pl.LpStatus[prob.status] != 'Optimal' :

backend/src/overpass/overpass.py

@@ -42,7 +42,7 @@ class Overpass :
             out (str): Output format ('center', 'body', etc.). Defaults to 'center'.
 
         Returns:
-            ET.Element: Parsed XML response from the Overpass API, or cached data if available.
+            ET.Element:    Parsed XML response from the Overpass API, or cached data if available.
         """
         # Determine which grid cells overlap with this bounding box.
         overlapping_cells = Overpass._get_overlapping_cells(bbox)

backend/src/parameters/landmark_parameters.yaml

@@ -8,5 +8,5 @@ image_bonus: 1.1
 viewpoint_bonus: 5
 wikipedia_bonus: 1.25
 name_bonus: 3
-N_important: 40
+N_important: 60
 pay_bonus: -1

backend/src/parameters/optimizer_parameters.yaml

@@ -4,3 +4,6 @@ average_walking_speed: 4.8
 max_landmarks: 10
 max_landmarks_refiner: 20
 overshoot: 0.0016
+time_limit: 1
+gap_rel: 0.05
+max_iter: 25