backend/src/main.py

@@ -1,6 +1,7 @@
 """Main app for backend api"""
 
 import logging
+import time
 from fastapi import FastAPI, HTTPException, Query
 from contextlib import asynccontextmanager
 
@@ -81,6 +82,7 @@ def new_trip(preferences: Preferences,
                             must_do=True,
                             n_tags=0)
 
+    start_time = time.time()
     # Generate the landmarks from the start location
     landmarks, landmarks_short = manager.generate_landmarks_list(
         center_coordinates = start,
@@ -91,6 +93,9 @@ def new_trip(preferences: Preferences,
     landmarks_short.insert(0, start_landmark)
     landmarks_short.append(end_landmark)
 
+    t_generate_landmarks = time.time() - start_time
+    start_time = time.time()
+
     # First stage optimization
     try:
         base_tour = optimizer.solve_optimization(preferences.max_time_minute, landmarks_short)
@@ -99,11 +104,20 @@ def new_trip(preferences: Preferences,
     except TimeoutError as exc:
         raise HTTPException(status_code=500, detail="Optimzation took too long") from exc
 
+    t_first_stage = time.time() - start_time
+    start_time = time.time()
+
     # Second stage optimization
     refined_tour = refiner.refine_optimization(landmarks, base_tour,
                                                preferences.max_time_minute,
                                                preferences.detour_tolerance_minute)
 
+    t_second_stage = time.time() - start_time
+    logger.debug(f'Generating landmarks      : {round(t_generate_landmarks,3)} seconds')
+    logger.debug(f'First stage optimization  : {round(t_first_stage,3)} seconds')
+    logger.debug(f'Second stage optimization : {round(t_second_stage,3)} seconds')
+    logger.info(f'Total computation time    : {round(t_generate_landmarks + t_first_stage + t_generate_landmarks,3)} seconds')
+
     linked_tour = LinkedLandmarks(refined_tour)
     # upon creation of the trip, persistence of both the trip and its landmarks is ensured.
     trip = Trip.from_linked_landmarks(linked_tour, cache_client)

backend/src/tests/test_main.py

@@ -1,7 +1,7 @@
 """Collection of tests to ensure correct implementation and track progress. """
 
 from fastapi.testclient import TestClient
-import pytest
+import pytest, time
 
 from .test_utils import landmarks_to_osmid, load_trip_landmarks, log_trip_details
 from ..main import app
@@ -20,7 +20,9 @@ def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
         client:
         request:
     """
+    start_time = time.time()  # Start timer
     duration_minutes = 15
+
     response = client.post(
         "/trip/new",
         json={
@@ -35,6 +37,9 @@ def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
     result = response.json()
     landmarks = load_trip_landmarks(client, result['first_landmark_uuid'])
 
+    # Get computation time
+    comp_time = time.time() - start_time
+
     # Add details to report
     log_trip_details(request, landmarks, result['total_time'], duration_minutes)
 
@@ -43,6 +48,7 @@ def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
     assert isinstance(landmarks, list)  # check that the return type is a list
     assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
     assert len(landmarks) > 2           # check that there is something to visit
+    assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
 
 
 def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
@@ -53,7 +59,9 @@ def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
         client:
         request:
     """
+    start_time = time.time()  # Start timer
     duration_minutes = 120
+
     response = client.post(
         "/trip/new",
         json={
@@ -67,7 +75,9 @@ def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
         )
     result = response.json()
     landmarks = load_trip_landmarks(client, result['first_landmark_uuid'])
-    osm_ids = landmarks_to_osmid(landmarks)
+
+    # Get computation time
+    comp_time = time.time() - start_time
 
     # Add details to report
     log_trip_details(request, landmarks, result['total_time'], duration_minutes)
@@ -79,8 +89,7 @@ def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
     # checks :
     assert response.status_code == 200  # check for successful planning
     assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
-    assert 136200148 in osm_ids         # check for Cathédrale St. Jean in trip
+    assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
-    # assert response.status_code == 2000  # check for successful planning
 
 
 
@@ -92,7 +101,9 @@ def test_shopping(client, request) :   # pylint: disable=redefined-outer-name
         client:
         request:
     """
+    start_time = time.time()  # Start timer
     duration_minutes = 240
+
     response = client.post(
         "/trip/new",
         json={
@@ -107,12 +118,16 @@ def test_shopping(client, request) :   # pylint: disable=redefined-outer-name
     result = response.json()
     landmarks = load_trip_landmarks(client, result['first_landmark_uuid'])
 
+    # Get computation time
+    comp_time = time.time() - start_time
+
     # Add details to report
     log_trip_details(request, landmarks, result['total_time'], duration_minutes)
 
     # checks :
     assert response.status_code == 200  # check for successful planning
     assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
+    assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
 
 # def test_new_trip_single_prefs(client):
 #     response = client.post(

backend/src/tests/test_utils.py

@@ -34,27 +34,26 @@ def fetch_landmark(client, landmark_uuid: str):
         dict: Landmark data fetched from the API.
     """
     logger = logging.getLogger(__name__)
-    response = client.get(f"/landmark/{landmark_uuid}")
+    response = client.get(f'/landmark/{landmark_uuid}')
 
     if response.status_code != 200:
         raise HTTPException(status_code=500,
-                            detail=f"Failed to fetch landmark with UUID {landmark_uuid}: {response.status_code}")
+                            detail=f'Failed to fetch landmark with UUID {landmark_uuid}: {response.status_code}')
 
     try:
         json_data = response.json()
-        logger.info(f"API Response: {json_data}")
+        logger.info(f'API Response: {json_data}')
     except ValueError as e:
-        logger.error(f"Failed to parse response as JSON: {response.text}")
+        logger.error(f'Failed to parse response as JSON: {response.text}')
         raise HTTPException(status_code=500, detail="Invalid response format from API")
 
     # Try validating against the Landmark model here to ensure consistency
     try:
         landmark = Landmark(**json_data)
     except ValidationError as ve:
-        logging.error(f"Validation error: {ve}")
+        logging.error(f'Validation error: {ve}')
         raise HTTPException(status_code=500, detail="Invalid data format received from API")
 
-
     if "detail" in json_data:
         raise HTTPException(status_code=500, detail=json_data["detail"])
 
@@ -75,25 +74,23 @@ def fetch_landmark_cache(landmark_uuid: str):
 
     # Try to fetch the landmark data from the cache
     try:
-        landmark = cache_client.get(f"landmark_{landmark_uuid}")
+        landmark = cache_client.get(f'landmark_{landmark_uuid}')
         if not landmark :
-            logger.warning(f"Cache miss for landmark UUID: {landmark_uuid}")
+            logger.warning(f'Cache miss for landmark UUID: {landmark_uuid}')
-            raise HTTPException(status_code=404, detail=f"Landmark with UUID {landmark_uuid} not found in cache.")
+            raise HTTPException(status_code=404, detail=f'Landmark with UUID {landmark_uuid} not found in cache.')
 
         # Validate that the fetched data is a dictionary
         if not isinstance(landmark, Landmark):
-            logger.error(f"Invalid cache data format for landmark UUID: {landmark_uuid}. Expected dict, got {type(landmark).__name__}.")
+            logger.error(f'Invalid cache data format for landmark UUID: {landmark_uuid}. Expected dict, got {type(landmark).__name__}.')
             raise HTTPException(status_code=500, detail="Invalid cache data format.")
 
         return landmark
 
     except Exception as exc:
-        logger.error(f"Unexpected error occurred while fetching landmark UUID {landmark_uuid}: {exc}")
+        logger.error(f'Unexpected error occurred while fetching landmark UUID {landmark_uuid}: {exc}')
         raise HTTPException(status_code=500, detail="An unexpected error occurred while fetching the landmark from the cache") from exc
 
 
-
-
 def load_trip_landmarks(client, first_uuid: str, from_cache=None) -> list[Landmark]:
     """
     Load all landmarks for a trip using the response from the API.
@@ -129,7 +126,7 @@ def log_trip_details(request, landmarks: list[Landmark], duration: int, target_d
         duration (int): the total duration of this trip
         target_duration(int): the target duration of this trip
     """
-    trip_string = [f"{landmark.name} ({landmark.attractiveness} | {landmark.duration}) - {landmark.time_to_reach_next}" for landmark in landmarks]
+    trip_string = [f'{landmark.name} ({landmark.attractiveness} | {landmark.duration}) - {landmark.time_to_reach_next}' for landmark in landmarks]
 
     # Pass additional info to pytest for reporting
     request.node.trip_details = trip_string

backend/src/utils/landmarks_manager.py

@@ -212,9 +212,6 @@ class LandmarkManager:
         for sel in dict_to_selector_list(amenity_selector):
             self.logger.debug(f"Current selector: {sel}")
 
-            # query_conditions = ['count_tags()>5']
-            # if landmarktype == 'shopping' :       # use this later for shopping clusters
-            #     element_types = ['node']
             element_types = ['way', 'relation']
 
             if 'viewpoint' in sel :
@@ -269,7 +266,7 @@ class LandmarkManager:
                 tag_values = set(elem.tags().values())  # Store tag values 
 
 
-                # Use simple tags :
+                # Retrieve image, name and website :
                 image_url = elem.tag('image')
                 website_url = elem.tag('website')
                 if website_url is None :
@@ -279,6 +276,9 @@ class LandmarkManager:
                 if elem_type != "nature" and elem.tag('leisure') == "park":
                     elem_type = "nature"
                 
+                if elem.tag('wikipedia') is not None :
+                    score += self.wikipedia_bonus
+
                 # Skip element if it is an administrative boundary or a disused thing or it is an appartement and useless amenities
                 if elem.tag('boundary') is not None or elem.tag('disused') is not None:
                     continue
@@ -297,20 +297,16 @@ class LandmarkManager:
                         # do not count the building description as being particularly useful
                         n_tags -= 1
 
-                    if "wiki" in tag_key:
+                    # if landmarktype != "shopping":
-                        # wikipedia entries count more
+                    #     if "shop" in tag_key:
-                        score += self.wikipedia_bonus
+                    #         skip = True
-
+                    #         break
-                    if landmarktype != "shopping":
-                        if "shop" in tag_key:
-                            skip = True
-                            break
                         # if tag_key == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
                         #     skip = True
                         #     break
 
-                if skip:
+                # if skip:
-                    continue
+                #     continue
 
                 score = score_function(score)
                 

backend/src/utils/optimizer.py

@@ -9,9 +9,6 @@ from .get_time_separation import get_time
 from ..constants import OPTIMIZER_PARAMETERS_PATH
 
 
-
-
-
 class Optimizer:
 
     logger = logging.getLogger(__name__)

backend/src/utils/refiner.py

@@ -333,7 +333,7 @@ class Refiner :
         
         minor_landmarks = self.get_minor_landmarks(all_landmarks, base_tour, self.detour_corridor_width)
 
-        self.logger.info(f"Using {len(minor_landmarks)} minor landmarks around the predicted path")
+        self.logger.debug(f"Using {len(minor_landmarks)} minor landmarks around the predicted path")
 
         # Full set of visitable landmarks.
         full_set = self.integrate_landmarks(minor_landmarks, base_tour)     # could probably be optimized with less overhead

backend/src/utils/test.py

@@ -1,27 +0,0 @@
-from OSMPythonTools.overpass import Overpass, overpassQueryBuilder
-
-
-
-overpass = Overpass()
-query = overpassQueryBuilder(
-                bbox = (45.7300, 4.7900, 45.8000, 4.8600),
-                elementType = ['way'],
-                # selector can in principle be a list already,
-                # but it generates the intersection of the queries
-                # we want the union
-                selector = '"historic"="building"',
-                includeCenter = True,
-                out = 'body'
-                )
-
-
-res = overpass.query(query)
-
-
-# for elem in res.elements() :
-elem = res.elements()[1]
-
-tags = elem.tags()
-
-test = elem.tag('sgehs')
-print(test)