backend/src/main.py

@@ -129,8 +129,6 @@ def new_trip(preferences: Preferences,
     trip = Trip.from_linked_landmarks(linked_tour, cache_client)
     logger.info(f'Generated a trip of {trip.total_time} minutes with {len(refined_tour)} landmarks in {round(t_generate_landmarks + t_first_stage + t_second_stage,3)} seconds.')
     
-    background_tasks = BackgroundTasks(fill_cache())
-
     return trip
 
 
@@ -148,6 +146,7 @@ def get_trip(trip_uuid: str) -> Trip:
     """
     try:
         trip = cache_client.get(f"trip_{trip_uuid}")
+        background_tasks = BackgroundTasks(fill_cache())
         return trip
     except KeyError as exc:
         raise HTTPException(status_code=404, detail="Trip not found") from exc

backend/src/optimization/optimizer.py

@@ -573,7 +573,7 @@ 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=10, warmStart=False))
+        prob.solve(pl.PULP_CBC_CMD(msg=False, gapRel=0.1, timeLimit=3, warmStart=False))
         status = pl.LpStatus[prob.status]
         solution = [pl.value(var) for var in x]  # The values of the decision variables (will be 0 or 1)
 
@@ -614,5 +614,5 @@ class Optimizer:
         order = self.get_order(solution)
         tour =  [landmarks[i] for i in order]
 
-        self.logger.debug(f"Re-optimized {i} times, objective value : {int(pl.value(prob.objective))}")
+        self.logger.info(f"Re-optimized {i} times, objective value : {int(pl.value(prob.objective))}")
         return tour

backend/src/overpass/caching_strategy.py

@@ -1,7 +1,6 @@
 import os
 import xml.etree.ElementTree as ET
 import hashlib
-import time
 
 from ..constants import OSM_CACHE_DIR, OSM_TYPES
 

backend/src/overpass/overpass.py

@@ -32,92 +32,74 @@ class Overpass :
     def send_query(self, bbox: tuple, osm_types: OSM_TYPES,
                     selector: str, conditions=[], out='center') -> ET:
         """
-        Sends the Overpass QL query to the Overpass API and returns the parsed JSON response.
+        Sends the Overpass QL query to the Overpass API and returns the parsed XML response.
 
         Args:
-            query (str): The Overpass QL query to be sent to the Overpass API.
+            bbox (tuple): Bounding box for the query.
+            osm_types (list[str]): List of OSM element types (e.g., 'node', 'way').
+            selector (str): Key or tag to filter OSM elements (e.g., 'highway').
+            conditions (list): Optional list of additional filter conditions in Overpass QL format.
+            out (str): Output format ('center', 'body', etc.). Defaults to 'center'.
 
         Returns:
-            dict: The parsed JSON response from the Overpass API, or None if the request fails.
+            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)
+        overlapping_cells = Overpass._get_overlapping_cells(bbox)
 
-        # Check the cache for any data that overlaps with these cells
-        cell_key_dict = {}
-        for cell in overlapping_cells :
-            for elem in osm_types :
-                key_str = f"{elem}[{selector}]{conditions}({','.join(map(str, cell))})"
-            
-            cell_key_dict[cell] = get_cache_key(key_str)
-
-        cached_responses = []
-        hollow_cache_keys = []
-
-        # Retrieve the cached data and mark the missing entries as hollow
-        for cell, key in cell_key_dict.items():
-            cached_data = self.caching_strategy.get(key)
-            if cached_data is not None :
-                cached_responses.append(cached_data)
-            else:
-                # Cache miss: Mark the cache key as hollow
-                self.caching_strategy.set_hollow(key, cell, osm_types, selector, conditions, out)
-                hollow_cache_keys.append(key)
+        # Retrieve cached data and identify missing cache entries
+        cached_responses, hollow_cache_keys = self._retrieve_cached_data(overlapping_cells, osm_types, selector, conditions, out)
 
         # If there is no missing data, return the cached responses
         if not hollow_cache_keys :
             self.logger.debug(f'Cache hit.')
-            return self.combine_cached_data(cached_responses)
+            return self._combine_cached_data(cached_responses)
         
         # TODO If there is SOME missing data : hybrid stuff with partial cache
         
-        # Build the query string in case of needed overpass query
+        # Missing data: Make a query to Overpass API
         query_str = Overpass.build_query(bbox, osm_types, selector, conditions, out)
+        self.fetch_data_from_api(query_str)
 
-        # Prepare the data to be sent as POST request, encoded as bytes
-        data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
 
+    def fetch_data_from_api(self, query_str: str, cache_key: str = None) -> ET.Element:
+        """
+        Fetch data from the Overpass API and update the cache.
+
+        Args:
+            query_str (str): The Overpass query string.
+            cached_responses (list): Cached responses to combine with fetched data.
+            hollow_cache_keys (list): Cache keys for missing data to be updated.
+
+        Returns:
+            ET.Element: Combined cached and fetched data.
+        """
         try:
-            # Create a Request object with the specified URL, data, and headers
+            data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
             request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
 
-            # Send the request and read the response
             with urllib.request.urlopen(request) as response:
-                # Read and decode the response
                 response_data = response.read().decode('utf-8')
                 root = ET.fromstring(response_data)
 
-                self.logger.debug(f'Cache miss. Fetching data through Overpass\nQuery = {query_str}')
-
-                return root
+                if cache_key is not None :
+                    self.caching_strategy.set(cache_key, root)
+                    self.logger.debug(f'Cache set.')
+                else : 
+                    self.logger.debug(f'Cache miss. Fetching data through Overpass\nQuery = {query_str}')
+                    return root
 
         except urllib.error.URLError as e:
-            raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
+            self.logger.error(f"Error connecting to Overpass API: {e}")
+            raise ConnectionError(f"Error connecting to Overpass API: {e}")
 
 
     def fill_cache(self, xml_string: str) :
-        
-        # Build the query using info from hollow cache entry
-        query_str, cache_key = Overpass.build_query_from_hollow(xml_string)
-
-        # Prepare the data to be sent as POST request, encoded as bytes
-        data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
-
-        try:
-            # Create a Request object with the specified URL, data, and headers
-            request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
-
-            # Send the request and read the response
-            with urllib.request.urlopen(request) as response:
-                # Read and decode the response
-                response_data = response.read().decode('utf-8')
-                root = ET.fromstring(response_data)
-
-                self.caching_strategy.set(cache_key, root)
-                self.logger.debug(f'Cache set')
-
-        except urllib.error.URLError as e:
-            raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
+        """
+        Fill cache with data by using a hollow cache entry's information.
+        """
+        query_str, cache_key = Overpass._build_query_from_hollow(xml_string)
+        self.fetch_data_from_api(query_str, cache_key)
 
 
     @staticmethod
@@ -169,17 +151,56 @@ class Overpass :
         return query
 
 
+    def _retrieve_cached_data(self, overlapping_cells: list, osm_types: OSM_TYPES, selector: str, conditions: list, out: str):
+        """
+        Retrieve cached data and identify missing cache entries.
+
+        Args:
+            overlapping_cells (list): Cells to check for cached data.
+            osm_types (list): OSM types (e.g., 'node', 'way').
+            selector (str): Key or tag to filter OSM elements.
+            conditions (list): Additional conditions to apply.
+            out (str): Output format.
+
+        Returns:
+            tuple: A tuple containing:
+                - cached_responses (list): List of cached data found.
+                - hollow_cache_keys (list): List of keys with missing data.
+        """
+        cell_key_dict = {}
+        for cell in overlapping_cells :
+            for elem in osm_types :
+                key_str = f"{elem}[{selector}]{conditions}({','.join(map(str, cell))})"
+            
+            cell_key_dict[cell] = get_cache_key(key_str)
+
+        cached_responses = []
+        hollow_cache_keys = []
+
+        # Retrieve the cached data and mark the missing entries as hollow
+        for cell, key in cell_key_dict.items():
+            cached_data = self.caching_strategy.get(key)
+            if cached_data is not None :
+                cached_responses.append(cached_data)
+            else:
+                self.caching_strategy.set_hollow(key, cell, osm_types, selector, conditions, out)
+                hollow_cache_keys.append(key)
+
+        return cached_responses, hollow_cache_keys
+
+
     @staticmethod
-    def build_query_from_hollow(xml_string):
-        """Extract variables from an XML string."""
-        
+    def _build_query_from_hollow(xml_string):
+        """
+        Build query string using information from a hollow cache entry.
+        """
         # Parse the XML string into an ElementTree object
         root = ET.fromstring(xml_string)
         
         # Extract values from the XML tree
         key = root.find('key').text
         cell = tuple(map(float, root.find('cell').text.strip('()').split(',')))
-        bbox = Overpass.get_bbox_from_grid_cell(cell[0], cell[1])
+        bbox = Overpass._get_bbox_from_grid_cell(cell[0], cell[1])
         osm_types = root.find('osm_types').text.split(',')
         selector = root.find('selector').text
         conditions = root.find('conditions').text.split(',') if root.find('conditions').text != "none" else []
@@ -191,7 +212,26 @@ class Overpass :
 
 
     @staticmethod
-    def get_grid_cell(lat: float, lon: float):
+    def _get_overlapping_cells(query_bbox: tuple):
+        """
+        Returns a set of all grid cells that overlap with the given bounding box.
+        """
+        # Extract location from the query bbox
+        lat_min, lon_min, lat_max, lon_max = query_bbox
+
+        min_lat_cell, min_lon_cell = Overpass._get_grid_cell(lat_min, lon_min)
+        max_lat_cell, max_lon_cell = Overpass._get_grid_cell(lat_max, lon_max)
+
+        overlapping_cells = set()
+        for lat_idx in range(min_lat_cell, max_lat_cell + 1):
+            for lon_idx in range(min_lon_cell, max_lon_cell + 1):
+                overlapping_cells.add((lat_idx, lon_idx))
+        
+        return overlapping_cells
+
+
+    @staticmethod
+    def _get_grid_cell(lat: float, lon: float):
         """
         Returns the grid cell coordinates for a given latitude and longitude.
         Each grid cell is 0.05°lat x 0.05°lon resolution in size.
@@ -202,7 +242,7 @@ class Overpass :
 
 
     @staticmethod
-    def get_bbox_from_grid_cell(lat_index: int, lon_index: int):
+    def _get_bbox_from_grid_cell(lat_index: int, lon_index: int):
         """
         Returns the bounding box for a given grid cell index.
         Each grid cell is resolution x resolution in size.
@@ -221,26 +261,7 @@ class Overpass :
 
 
     @staticmethod
-    def get_overlapping_cells(query_bbox: tuple):
-        """
-        Returns a set of all grid cells that overlap with the given bounding box.
-        """
-        # Extract location from the query bbox
-        lat_min, lon_min, lat_max, lon_max = query_bbox
-
-        min_lat_cell, min_lon_cell = Overpass.get_grid_cell(lat_min, lon_min)
-        max_lat_cell, max_lon_cell = Overpass.get_grid_cell(lat_max, lon_max)
-
-        overlapping_cells = set()
-        for lat_idx in range(min_lat_cell, max_lat_cell + 1):
-            for lon_idx in range(min_lon_cell, max_lon_cell + 1):
-                overlapping_cells.add((lat_idx, lon_idx))
-        
-        return overlapping_cells
-
-
-    @staticmethod
-    def combine_cached_data(cached_data_list):
+    def _combine_cached_data(cached_data_list):
         """
         Combines data from multiple cached responses into a single result.
         """

backend/src/tests/test_main.py

@@ -27,8 +27,8 @@ def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
         "/trip/new",
         json={
             "preferences": {"sightseeing": {"type": "sightseeing", "score": 5},
-            "nature": {"type": "nature", "score": 0},
-            "shopping": {"type": "shopping", "score": 0},
+            "nature": {"type": "nature", "score": 5},
+            "shopping": {"type": "shopping", "score": 5},
             "max_time_minute": duration_minutes,
             "detour_tolerance_minute": 0},
             "start": [48.084588, 7.280405]
@@ -100,7 +100,7 @@ def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_cologne(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
+    Test n°3 : Custom test in Cologne to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -141,7 +141,7 @@ def test_cologne(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_strasbourg(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
+    Test n°4 : Custom test in Strasbourg to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -182,7 +182,7 @@ def test_strasbourg(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_zurich(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
+    Test n°5 : Custom test in Zurich to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -223,24 +223,24 @@ def test_zurich(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_paris(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Paris (les Halles) centre to ensure proper decision making in crowded area.
+    Test n°6 : Custom test in Paris (les Halles) centre to ensure proper decision making in crowded area.
     
     Args:
         client:
         request:
     """
     start_time = time.time()  # Start timer
-    duration_minutes = 300
+    duration_minutes = 200
 
     response = client.post(
         "/trip/new",
         json={
             "preferences": {"sightseeing": {"type": "sightseeing", "score": 5},
-                            "nature": {"type": "nature", "score": 5},
+                            "nature": {"type": "nature", "score": 0},
                             "shopping": {"type": "shopping", "score": 5},
                             "max_time_minute": duration_minutes,
                             "detour_tolerance_minute": 0},
-            "start": [48.86248803298562, 2.346451131285925]
+            "start": [48.85468881798671, 2.3423925755998374]
             }
         )
     result = response.json()
@@ -264,7 +264,7 @@ def test_paris(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_new_york(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in New York (les Halles) centre to ensure proper decision making in crowded area.
+    Test n°7 : Custom test in New York to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -305,7 +305,7 @@ def test_new_york(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_shopping(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°3 : Custom test in Lyon centre to ensure shopping clusters are found.
+    Test n°8 : Custom test in Lyon centre to ensure shopping clusters are found.
     
     Args:
         client:

backend/src/utils/toilets_manager.py

@@ -5,6 +5,7 @@ import xml.etree.ElementTree as ET
 from ..overpass.overpass import Overpass, get_base_info
 from ..structs.landmark import Toilets
 from ..constants import OSM_CACHE_DIR
+from .utils import create_bbox
 
 
 # silence the overpass logger
@@ -53,20 +54,18 @@ class ToiletsManager:
         list[Toilets]: A list of `Toilets` objects containing detailed information 
                        about the toilets found around the given coordinates.
         """
-        bbox = tuple((self.radius, self.location[0], self.location[1]))
+        bbox = create_bbox(self.location, self.radius)
         osm_types = ['node', 'way', 'relation']
         toilets_list = []
 
         query = self.overpass.build_query(
-                area = bbox,
-                osm_types = osm_types,
-                selector = '"amenity"="toilets"',
-                out = 'ids center tags'
-                )
-        self.logger.debug(f"Query: {query}")
-
+            bbox = bbox,
+            osm_types = osm_types,
+            selector = '"amenity"="toilets"',
+            out = 'ids center tags'
+            )
         try:
-            result = self.overpass.send_query(query)
+            result = self.overpass.fetch_data_from_api(query_str=query)
         except Exception as e:
             self.logger.error(f"Error fetching landmarks: {e}")
             return None