diff --git a/backend/report.html b/backend/report.html
index f6bc656..8a8a354 100644
--- a/backend/report.html
+++ b/backend/report.html
@@ -328,7 +328,7 @@ div.media {
   </head>
   <body>
     <h1 id="title">Backend Testing Report</h1>
-    <p>Report generated on 02-Jul-2025 at 21:46:07 by <a href="https://pypi.python.org/pypi/pytest-html">pytest-html</a>
+    <p>Report generated on 13-Jul-2025 at 17:36:30 by <a href="https://pypi.python.org/pypi/pytest-html">pytest-html</a>
         v4.1.1</p>
     <div id="environment-header">
       <h2>Environment</h2>
@@ -382,7 +382,7 @@ div.media {
         <h2>Summary</h2>
         <div class="additional-summary prefix">
         </div>
-        <p class="run-count">8 tests took 00:02:10.</p>
+        <p class="run-count">8 tests took 00:10:27.</p>
         <p class="filter">(Un)check the boxes to filter the results.</p>
         <div class="summary__reload">
           <div class="summary__reload__button hidden" onclick="location.reload()">
@@ -393,9 +393,9 @@ div.media {
         <div class="controls">
           <div class="filters">
             <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="failed" />
-            <span class="failed">1 Failed,</span>
+            <span class="failed">2 Failed,</span>
             <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="passed" />
-            <span class="passed">7 Passed,</span>
+            <span class="passed">6 Passed,</span>
             <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="skipped" disabled/>
             <span class="skipped">0 Skipped,</span>
             <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="xfailed" disabled/>
@@ -432,7 +432,7 @@ div.media {
     </table>
   </body>
   <footer>
-    <div id="data-container" data-jsonblob="{&#34;environment&#34;: {&#34;Python&#34;: &#34;3.12.3&#34;, &#34;Platform&#34;: &#34;Linux-6.8.0-62-generic-x86_64-with-glibc2.39&#34;, &#34;Packages&#34;: {&#34;pytest&#34;: &#34;8.3.4&#34;, &#34;pluggy&#34;: &#34;1.5.0&#34;}, &#34;Plugins&#34;: {&#34;html&#34;: &#34;4.1.1&#34;, &#34;anyio&#34;: &#34;4.8.0&#34;, &#34;metadata&#34;: &#34;3.1.1&#34;}}, &#34;tests&#34;: {&#34;src/tests/test_trip_generation.py::test_trip[0-0-5-240-start_coords0-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[0-0-5-240-start_coords0-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[0-0-5-240-start_coords0-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 10 - Jardin arch\u00e9ologique Girard Desargues (149 | 5) - 23 - Jardin du P\u00e8re Fran\u00e7ois Marty (200 | 5) - 14 - Jardin des Curiosit\u00e9s (187 | 5) - 5 - Place des Minimes (127 | 5) - 2 - Jardin Andr\u00e9 Malraux (78 | 5) - 7 - Parc des Hauteurs et jardins du Rosaire (127 | 5) - 5 - Esplanade (1748 | 10) - 6 - Pont des Quatre Vents du parc de la Sarra (787 | 10) - 5 - Esplanade de Fourvi\u00e8re (565 | 10) - 12 - Jardin des Chartreux (98 | 5) - 11 - Parc Sutter (78 | 5) - 6 - Jardin des Plantes (157 | 5) - 9 - Espace Bodin Magneval (56 | 5) - 4 - Place Croix-Paquet (56 | 5) - 9 - Jardin du Palais Saint-Pierre (98 | 5) - 14 - Vue sous-terraine du Parking des C\u00e9lestins (565 | 10) - 4 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;246 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:04&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 240\n\tSightseeing: 0\n\tNature: 5\n\tShopping: 0\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (45.7576485, 4.8330241)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 91 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 84 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 84 landmarks in  \t: 0.03 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 240\n\tSightseeing: 0\n\tNature: 5\n\tShopping: 0\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 4 times, objective value : 5529\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 10 times, objective value : 5076\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 3.788 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 246 minutes with 18 landmarks in 3.788 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(45.7576485, 4.8330241), score=0, time_to_next=10]\n\tLandmark(nature): [Jardin arch\u00e9ologique Girard Desargues @(45.7610597, 4.8277478), score=149, time_to_next=23]\n\tLandmark(nature): [Jardin du P\u00e8re Fran\u00e7ois Marty @(45.7493343, 4.8276949), score=200, time_to_next=14]\n\tLandmark(nature): [Jardin des Curiosit\u00e9s @(45.7552196, 4.8218339), score=187, time_to_next=5]\n\tLandmark(nature): [Place des Minimes @(45.7575707, 4.821354), score=127, time_to_next=2]\n\tLandmark(nature): [Jardin Andr\u00e9 Malraux @(45.7585166, 4.8215829), score=78, time_to_next=7, secondary]\n\tLandmark(nature): [Parc des Hauteurs et jardins du Rosaire @(45.7617188, 4.8237768), score=127, time_to_next=5]\n\tLandmark(nature): [Esplanade @(45.7603525, 4.8205849), score=1748, time_to_next=6]\n\tLandmark(nature): [Pont des Quatre Vents du parc de la Sarra @(45.763172, 4.8193262), score=787, time_to_next=5]\n\tLandmark(nature): [Esplanade de Fourvi\u00e8re @(45.7627458, 4.8230054), score=565, time_to_next=12]\n\tLandmark(nature): [Jardin des Chartreux @(45.768828, 4.8207569), score=98, time_to_next=11, secondary]\n\tLandmark(nature): [Parc Sutter @(45.7729437, 4.8266175), score=78, time_to_next=6, secondary]\n\tLandmark(nature): [Jardin des Plantes @(45.7704653, 4.8297596), score=157, time_to_next=9]\n\tLandmark(nature): [Espace Bodin Magneval @(45.7729996, 4.835418), score=56, time_to_next=4, secondary]\n\tLandmark(nature): [Place Croix-Paquet @(45.7708435, 4.8363276), score=56, time_to_next=9, secondary]\n\tLandmark(nature): [Jardin du Palais Saint-Pierre @(45.7668411, 4.8336247), score=98, time_to_next=14, secondary]\n\tLandmark(nature): [Vue sous-terraine du Parking des C\u00e9lestins @(45.7597666, 4.8318664), score=565, time_to_next=4]\n\tLandmark(finish): [finish @(45.7576485, 4.8330241), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-0-0-20-start_coords1-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-0-0-20-start_coords1-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-0-0-20-start_coords1-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 6 - H\u00f4tel de ville (238 | 5) - 1 - H\u00f4tel des Deux-Clefs (217 | 5) - 6 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;23 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;20 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;88 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (48.0845881, 7.280405)\n\tTime: 20\n\tSightseeing: 5\n\tNature: 0\n\tShopping: 0\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (48.0845881, 7.280405)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 9 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 7 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 7 landmarks in  \t: 0.004 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (48.0845881, 7.280405)\n\tTime: 20\n\tSightseeing: 5\n\tNature: 0\n\tShopping: 0\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 0 times, objective value : 455\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 0 times, objective value : 455\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 0.067 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 23 minutes with 4 landmarks in 0.067 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(48.0845881, 7.280405), score=0, time_to_next=6]\n\tLandmark(sightseeing): [H\u00f4tel de ville @(48.0874108, 7.2779686), score=238, time_to_next=1]\n\tLandmark(sightseeing): [H\u00f4tel des Deux-Clefs @(48.0871764, 7.2776559), score=217, time_to_next=6]\n\tLandmark(finish): [finish @(48.0845881, 7.280405), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-120-start_coords2-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-120-start_coords2-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-5-5-120-start_coords2-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 5 - H\u00f4tel de l&#39;Europe (217 | 5) - 4 - Palais archi\u00e9piscopal (217 | 5) - 6 - \u00c9glise Saint-Georges (489 | 5) - 8 - Esplanade (1748 | 10) - 6 - Pont des Quatre Vents du parc de la Sarra (787 | 10) - 5 - Basilique Notre-Dame de Fourvi\u00e8re (281 | 5) - 7 - Cath\u00e9drale Saint-Jean (347 | 10) - 6 - Vue sous-terraine du Parking des C\u00e9lestins (565 | 10) - 4 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;111 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;120 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:09&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 120\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (45.7576485, 4.8330241)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 161 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 3 different sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 91 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:116 Found 10 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 232 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 232 landmarks in  \t: 0.047 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 120\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 10 times, objective value : 5229\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 16 times, objective value : 4651\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 8.9 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 111 minutes with 10 landmarks in 8.9 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(45.7576485, 4.8330241), score=0, time_to_next=5]\n\tLandmark(sightseeing): [H\u00f4tel de l&amp;#x27;Europe @(45.7591956, 4.8304294), score=217, time_to_next=4]\n\tLandmark(sightseeing): [Palais archi\u00e9piscopal @(45.7601908, 4.8278098), score=217, time_to_next=6]\n\tLandmark(sightseeing): [\u00c9glise Saint-Georges @(45.757672, 4.825388), score=489, time_to_next=8]\n\tLandmark(nature): [Esplanade @(45.7603525, 4.8205849), score=1748, time_to_next=6]\n\tLandmark(nature): [Pont des Quatre Vents du parc de la Sarra @(45.763172, 4.8193262), score=787, time_to_next=5]\n\tLandmark(sightseeing): [Basilique Notre-Dame de Fourvi\u00e8re @(45.7623011, 4.822527), score=281, time_to_next=7]\n\tLandmark(sightseeing): [Cath\u00e9drale Saint-Jean @(45.760715, 4.8274333), score=347, time_to_next=6]\n\tLandmark(nature): [Vue sous-terraine du Parking des C\u00e9lestins @(45.7597666, 4.8318664), score=565, time_to_next=4]\n\tLandmark(finish): [finish @(45.7576485, 4.8330241), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-240-start_coords3-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-240-start_coords3-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-5-5-240-start_coords3-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 2 - K\u00f6lner Dom (1616 | 10) - 12 - St. Kunibert (780 | 5) - 17 - K\u00f6ln Triangle (10129 | 10) - 13 - Gro\u00df St. Martin (634 | 5) - 11 - St. Maria Lyskirchen (691 | 5) - 2 - Trinitatiskirche (633 | 5) - 6 - St. Georg (483 | 5) - 4 - Finanzamt K\u00f6ln-Mitte (483 | 5) - 3 - Wasserturm Hotel Cologne (728 | 5) - 5 - St. Peter (569 | 5) - 1 - St. C\u00e4cilien (575 | 5) - 5 - Schauspielhaus K\u00f6ln (507 | 5) - 7 - St. Aposteln (891 | 5) - 13 - St. Gereon (1093 | 5) - 9 - St. Maria in der Kupfergasse (633 | 5) - 4 - Oper der Stadt K\u00f6ln (632 | 5) - 9 - St.Andreas (728 | 5) - 2 - Excelsior Hotel Ernst (825 | 5) - 2 - St. Mari\u00e4 Himmelfahrt (531 | 5) - 2 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;234 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:02&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (50.9423526, 6.957778)\n\tTime: 240\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (50.9423526, 6.957778)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 278 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 61 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:116 Found 5 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 4 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 264 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 264 landmarks in  \t: 0.066 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (50.9423526, 6.957778)\n\tTime: 240\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 1 times, objective value : 19248\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 5 times, objective value : 23161\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 1.707 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 234 minutes with 21 landmarks in 1.707 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(50.9423526, 6.957778), score=0, time_to_next=2]\n\tLandmark(sightseeing): [K\u00f6lner Dom @(50.941307, 6.9581112), score=1616, time_to_next=12]\n\tLandmark(sightseeing): [St. Kunibert @(50.9467494, 6.9626688), score=780, time_to_next=17]\n\tLandmark(nature): [K\u00f6ln Triangle @(50.9403874, 6.9718004), score=10129, time_to_next=13]\n\tLandmark(sightseeing): [Gro\u00df St. Martin @(50.9385743, 6.9616193), score=634, time_to_next=11]\n\tLandmark(sightseeing): [St. Maria Lyskirchen @(50.9330078, 6.9626097), score=691, time_to_next=2]\n\tLandmark(sightseeing): [Trinitatiskirche @(50.9333896, 6.9607359), score=633, time_to_next=6, secondary]\n\tLandmark(sightseeing): [St. Georg @(50.9319032, 6.9568456), score=483, time_to_next=4, secondary]\n\tLandmark(sightseeing): [Finanzamt K\u00f6ln-Mitte @(50.9311327, 6.9538126), score=483, time_to_next=3, secondary]\n\tLandmark(sightseeing): [Wasserturm Hotel Cologne @(50.9316123, 6.951728), score=728, time_to_next=5]\n\tLandmark(sightseeing): [St. Peter @(50.9343733, 6.951778), score=569, time_to_next=1, secondary]\n\tLandmark(sightseeing): [St. C\u00e4cilien @(50.9346933, 6.9516966), score=575, time_to_next=5, secondary]\n\tLandmark(sightseeing): [Schauspielhaus K\u00f6ln @(50.9374189, 6.9507855), score=507, time_to_next=7, secondary]\n\tLandmark(sightseeing): [St. Aposteln @(50.9366002, 6.9449933), score=891, time_to_next=13]\n\tLandmark(sightseeing): [St. Gereon @(50.9432407, 6.9459063), score=1093, time_to_next=9]\n\tLandmark(sightseeing): [St. Maria in der Kupfergasse @(50.9398145, 6.9502032), score=633, time_to_next=4, secondary]\n\tLandmark(sightseeing): [Oper der Stadt K\u00f6ln @(50.9379922, 6.9512598), score=632, time_to_next=9, secondary]\n\tLandmark(sightseeing): [St.Andreas @(50.9419526, 6.9548971), score=728, time_to_next=2]\n\tLandmark(sightseeing): [Excelsior Hotel Ernst @(50.9421627, 6.9563448), score=825, time_to_next=2]\n\tLandmark(sightseeing): [St. Mari\u00e4 Himmelfahrt @(50.943059, 6.9566598), score=531, time_to_next=2, secondary]\n\tLandmark(finish): [finish @(50.9423526, 6.957778), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-180-start_coords4-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-180-start_coords4-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-5-5-180-start_coords4-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 8 - \u00c9glise protestante Saint-Pierre-le-Jeune (347 | 5) - 2 - Foss\u00e9 du Faux-Rempart (226 | 5) - 7 - Vue sur Cath\u00e9drale de Strasbourg (787 | 10) - 1 - Plateforme de la Cath\u00e9drale de Strasbourg (1018 | 10) - 1 - Cath\u00e9drale Notre-Dame (825 | 10) - 9 - \u00c9glise Saint-Guillaume (325 | 5) - 6 - \u00c9glise catholique Sainte-Madeleine (281 | 5) - 13 - Centre Administratif Ville et Eurom\u00e9tropole de Strasbourg (442 | 5) - 8 - Porte de l&#39;H\u00f4pital (242 | 5) - 3 - \u00c9glise Saint-Nicolas (303 | 5) - 1 - Pont Saint-Nicolas (217 | 5) - 4 - \u00c9glise protestante Saint-Thomas (303 | 5) - 2 - Circuit \u00ab Petite France \u00bb (414 | 5) - 9 - Barrage Vauban (414 | 5) - 10 - \u00c9glise Catholique Saint-Jean-Baptiste (281 | 5) - 7 - Toit du Parking Wodli (787 | 10) - 7 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;198 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:10&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (48.5846589226, 7.74078715721)\n\tTime: 180\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (48.5846589226, 7.74078715721)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 76 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 114 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:116 Found 3 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 2 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 123 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 123 landmarks in  \t: 0.043 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (48.5846589226, 7.74078715721)\n\tTime: 180\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 25 times, objective value : 4242\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 2 times, objective value : 7212\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 9.7 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 198 minutes with 18 landmarks in 9.7 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(48.5846589226, 7.74078715721), score=0, time_to_next=8]\n\tLandmark(sightseeing): [\u00c9glise protestante Saint-Pierre-le-Jeune @(48.5855301, 7.7465472), score=347, time_to_next=2]\n\tLandmark(nature): [Foss\u00e9 du Faux-Rempart @(48.5847062, 7.7478973), score=226, time_to_next=7, secondary]\n\tLandmark(nature): [Vue sur Cath\u00e9drale de Strasbourg @(48.5813364, 7.7495659), score=787, time_to_next=1]\n\tLandmark(nature): [Plateforme de la Cath\u00e9drale de Strasbourg @(48.581669, 7.7504857), score=1018, time_to_next=1]\n\tLandmark(sightseeing): [Cath\u00e9drale Notre-Dame @(48.5818887, 7.7510342), score=825, time_to_next=9]\n\tLandmark(sightseeing): [\u00c9glise Saint-Guillaume @(48.5820836, 7.7576339), score=325, time_to_next=6]\n\tLandmark(sightseeing): [\u00c9glise catholique Sainte-Madeleine @(48.5799473, 7.7548339), score=281, time_to_next=13, secondary]\n\tLandmark(sightseeing): [Centre Administratif Ville et Eurom\u00e9tropole de Strasbourg @(48.5733899, 7.7520803), score=442, time_to_next=8]\n\tLandmark(sightseeing): [Porte de l&amp;#x27;H\u00f4pital @(48.5770255, 7.7495671), score=242, time_to_next=3, secondary]\n\tLandmark(sightseeing): [\u00c9glise Saint-Nicolas @(48.5783593, 7.748501), score=303, time_to_next=1]\n\tLandmark(sightseeing): [Pont Saint-Nicolas @(48.5787541, 7.7485761), score=217, time_to_next=4, secondary]\n\tLandmark(sightseeing): [\u00c9glise protestante Saint-Thomas @(48.5796572, 7.7456235), score=303, time_to_next=2]\n\tLandmark(sightseeing): [Circuit \u00ab Petite France \u00bb @(48.5807382, 7.7450251), score=414, time_to_next=9]\n\tLandmark(sightseeing): [Barrage Vauban @(48.5795997, 7.7380036), score=414, time_to_next=10]\n\tLandmark(sightseeing): [\u00c9glise Catholique Saint-Jean-Baptiste @(48.584387, 7.7400892), score=281, time_to_next=7, secondary]\n\tLandmark(nature): [Toit du Parking Wodli @(48.5873136, 7.7369551), score=787, time_to_next=7]\n\tLandmark(finish): [finish @(48.5846589226, 7.74078715721), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-180-start_coords5-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-180-start_coords5-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-5-5-180-start_coords5-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 10 - Lindenhof (1018 | 10) - 5 - Rathaus (243 | 30) - 5 - Predigerkirche (351 | 5) - 2 - Anlage Z\u00fcrich (174 | 5) - 3 - Polyterrasse (355 | 10) - 3 - Friedenskirche (207 | 5) - 4 - Nikebrunnen (174 | 5) - 5 - Grossm\u00fcnster (506 | 5) - 0 - Karlsturm (1874 | 10) - 1 - Wasserkirche (238 | 5) - 6 - Quaibr\u00fccke (565 | 10) - 6 - Fraum\u00fcnster Kreuzgang (174 | 5) - 0 - Fraum\u00fcnster (557 | 5) - 3 - St. Peter (489 | 5) - 13 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;181 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:06&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (47.377884227, 8.5395114066)\n\tTime: 180\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (47.377884227, 8.5395114066)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 85 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 64 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:116 Found 3 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 3 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 145 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 145 landmarks in  \t: 0.045 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (47.377884227, 8.5395114066)\n\tTime: 180\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 9 times, objective value : 6557\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 7 times, objective value : 6925\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 6.071 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 181 minutes with 16 landmarks in 6.071 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(47.377884227, 8.5395114066), score=0, time_to_next=10]\n\tLandmark(nature): [Lindenhof @(47.3730646, 8.5413876), score=1018, time_to_next=5]\n\tLandmark(shopping): [Rathaus @(47.3715958, 8.5442788), score=243, time_to_next=5]\n\tLandmark(sightseeing): [Predigerkirche @(47.3738902, 8.545494), score=351, time_to_next=2]\n\tLandmark(sightseeing): [Anlage Z\u00fcrich @(47.3748123, 8.5463569), score=174, time_to_next=3, secondary]\n\tLandmark(nature): [Polyterrasse @(47.3760957, 8.5465161), score=355, time_to_next=3]\n\tLandmark(sightseeing): [Friedenskirche @(47.3746359, 8.5464654), score=207, time_to_next=4, secondary]\n\tLandmark(sightseeing): [Nikebrunnen @(47.3724591, 8.5456946), score=174, time_to_next=5, secondary]\n\tLandmark(sightseeing): [Grossm\u00fcnster @(47.3701027, 8.5439722), score=506]\n\tLandmark(nature): [Karlsturm @(47.3701486, 8.5436792), score=1874, time_to_next=1]\n\tLandmark(sightseeing): [Wasserkirche @(47.3696315, 8.5431996), score=238, time_to_next=6]\n\tLandmark(nature): [Quaibr\u00fccke @(47.3666263, 8.5424316), score=565, time_to_next=6]\n\tLandmark(sightseeing): [Fraum\u00fcnster Kreuzgang @(47.369564, 8.5410786), score=174, secondary]\n\tLandmark(sightseeing): [Fraum\u00fcnster @(47.3697135, 8.5412029), score=557, time_to_next=3]\n\tLandmark(sightseeing): [St. Peter @(47.3710878, 8.540745), score=489, time_to_next=13]\n\tLandmark(finish): [finish @(47.377884227, 8.5395114066), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-0-5-200-start_coords6-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-0-5-200-start_coords6-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Failed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-0-5-200-start_coords6-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 3 - Palais de Justice de Paris (608 | 5) - 6 - Notre Dame (787 | 10) - 4 - Cath\u00e9drale Notre-Dame de Paris (1534 | 10) - 4 - M\u00e9morial des Martyrs de la D\u00e9portation (624 | 5) - 9 - H\u00f4tel de Ville (696 | 5) - 6 - Tour Saint-Jacques (1025 | 5) - 7 - Centre Georges Pompidou (1212 | 5) - 11 - Jardin Nelson Mandela (562 | 5) - 7 - \u00c9glise Saint-Germain l&#39;Auxerrois (691 | 5) - 5 - Pont des Arts (1256 | 10) - 6 - Palais du Louvre (991 | 5) - 12 - Jardin des Tuileries (1269 | 5) - 27 - \u00c9glise Saint-Sulpice (760 | 5) - 12 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;199 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;200 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:01:37&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;client = &amp;lt;starlette.testclient.TestClient object at 0x70fc003be660&amp;gt;, request = &amp;lt;FixtureRequest for &amp;lt;Function test_trip[5-0-5-200-start_coords6-None]&amp;gt;&amp;gt;, sightseeing = 5, shopping = 0, nature = 5, max_time_minute = 200\nstart_coords = [48.85468881798671, 2.3423925755998374], end_coords = None\n\n    @pytest.mark.parametrize(\n        &amp;quot;sightseeing, shopping, nature, max_time_minute, start_coords, end_coords&amp;quot;,\n        [\n            # Edge cases\n            (0, 0, 5, 240, [45.7576485, 4.8330241], None),                  # Lyon, Bellecour - test shopping only\n    \n            # Realistic\n            (5, 0, 0, 20, [48.0845881, 7.2804050], None),                   # Turckheim\n            (5, 5, 5, 120, [45.7576485, 4.8330241], None),                  # Lyon, Bellecour\n            (5, 5, 5, 240, [50.9423526, 6.9577780], None),                  # Cologne, centre\n            (5, 5, 5, 180, [48.5846589226, 7.74078715721], None),           # Strasbourg, centre\n            (5, 5, 5, 180, [47.377884227, 8.5395114066], None),             # Zurich, centre\n            (5, 0, 5, 200, [48.85468881798671, 2.3423925755998374], None),  # Paris, centre\n            (5, 5, 5, 600, [40.72592726802, -73.9920434795], None),         # New York, Lower Manhattan\n            # Add more cases as needed: edge cases especially\n        ]\n    )\n    def test_trip(client, request, sightseeing, shopping, nature, max_time_minute, start_coords, end_coords):\n    \n        start_time = time.time()  # Start timer\n    \n        prefs = Preferences(\n            sightseeing=Preference(type=&amp;#x27;sightseeing&amp;#x27;, score=sightseeing),\n            shopping=Preference(type=&amp;#x27;shopping&amp;#x27;, score=shopping),\n            nature=Preference(type=&amp;#x27;nature&amp;#x27;, score=nature),\n            max_time_minute=max_time_minute,\n            detour_tolerance_minute=0,\n        )\n        start = start_coords\n        end = end_coords\n    \n        # Step 1: request the list of landmarks in the vicinty of the starting point\n        response = client.post(\n            &amp;quot;/get/landmarks&amp;quot;,\n            json={\n                &amp;quot;preferences&amp;quot;: prefs.model_dump(),\n                &amp;quot;start&amp;quot;: start_coords,\n                &amp;quot;end&amp;quot;: end_coords,\n                }\n            )\n        landmarks = response.json()\n    \n        # Step 2: Feed the landmarks to the optimizer to compute the trip\n        response = client.post(\n            &amp;quot;/optimize/trip&amp;quot;,\n            json={\n                &amp;quot;preferences&amp;quot;: prefs.model_dump(),\n                &amp;quot;landmarks&amp;quot;: landmarks,\n                &amp;quot;start&amp;quot;: start,\n                &amp;quot;end&amp;quot;: end,\n                }\n            )\n        result = response.json()\n        landmarks = load_trip_landmarks(client, result[&amp;#x27;first_landmark_uuid&amp;#x27;])\n    \n        # Get computation time\n        comp_time = time.time() - start_time\n    \n        # Add details to report\n        log_trip_details(request, landmarks, result[&amp;#x27;total_time&amp;#x27;], prefs.max_time_minute)\n    \n        # checks :\n        assert response.status_code == 200  # check for successful planning\n&amp;gt;       assert comp_time &amp;lt; 30, f&amp;quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&amp;quot;\nE       AssertionError: Computation time exceeded 30 seconds: 97.13 seconds\nE       assert 97.13415765762329 &amp;lt; 30\n\nsrc/tests/test_trip_generation.py:135: AssertionError\n\n------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (48.85468881798671, 2.3423925755998374)\n\tTime: 200\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 0\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (48.85468881798671, 2.3423925755998374)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 430 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 134 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 455 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 455 landmarks in  \t: 21.821 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (48.85468881798671, 2.3423925755998374)\n\tTime: 200\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 0\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 2 times, objective value : 13117\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 5 times, objective value : 12015\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 2.542 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 199 minutes with 15 landmarks in 2.542 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(48.85468881798671, 2.3423925755998374), score=0, time_to_next=3]\n\tLandmark(sightseeing): [Palais de Justice de Paris @(48.8556537, 2.3446072), score=608, time_to_next=6, secondary]\n\tLandmark(nature): [Notre Dame @(48.8532381, 2.3470464), score=787, time_to_next=4]\n\tLandmark(sightseeing): [Cath\u00e9drale Notre-Dame de Paris @(48.8529372, 2.3498701), score=1534, time_to_next=4]\n\tLandmark(sightseeing): [M\u00e9morial des Martyrs de la D\u00e9portation @(48.8517365, 2.3524734), score=624, time_to_next=9, secondary]\n\tLandmark(sightseeing): [H\u00f4tel de Ville @(48.8564265, 2.352527), score=696, time_to_next=6]\n\tLandmark(sightseeing): [Tour Saint-Jacques @(48.8579983, 2.3489178), score=1025, time_to_next=7]\n\tLandmark(sightseeing): [Centre Georges Pompidou @(48.8605235, 2.3524395), score=1212, time_to_next=11]\n\tLandmark(nature): [Jardin Nelson Mandela @(48.8626235, 2.344487), score=562, time_to_next=7, secondary]\n\tLandmark(sightseeing): [\u00c9glise Saint-Germain l&amp;#x27;Auxerrois @(48.8595016, 2.3413445), score=691, time_to_next=5]\n\tLandmark(nature): [Pont des Arts @(48.8585951, 2.3376989), score=1256, time_to_next=6]\n\tLandmark(sightseeing): [Palais du Louvre @(48.8614768, 2.3351677), score=991, time_to_next=12]\n\tLandmark(nature): [Jardin des Tuileries @(48.8636681, 2.3266855), score=1269, time_to_next=27]\n\tLandmark(sightseeing): [\u00c9glise Saint-Sulpice @(48.8509826, 2.3348577), score=760, time_to_next=12]\n\tLandmark(finish): [finish @(48.85468881798671, 2.3423925755998374), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 24/24 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-600-start_coords7-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-600-start_coords7-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-5-5-600-start_coords7-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 7 - Saint Patrick&#39;s Old Cathedral (489 | 10) - 9 - Capitale (840 | 5) - 9 - Museum at Eldridge Street (604 | 60) - 4 - First Chinese Presbyterian Church (461 | 5) - 9 - Columbus Park (738 | 5) - 4 - Collect Pond Park (555 | 5) - 13 - Duarte Square (783 | 5) - 5 - Tribeca Park (520 | 5) - 8 - Duane Park (519 | 5) - 10 - One World Observatory (1499 | 10) - 3 - 9/11 Memorial &amp; Museum (780 | 60) - 3 - One World Trade Center (871 | 5) - 8 - Washington Market Park (606 | 5) - 4 - Staple Street Skybridge (565 | 10) - 9 - Albert Capsouto Park (519 | 5) - 7 - New York City Fire Museum (461 | 60) - 28 - Whitney Museum of American Art (575 | 60) - 4 - Southeast Overlook (787 | 10) - 4 - Free Public Stargazing (1874 | 10) - 28 - Union Square Park (738 | 5) - 7 - Grace Church (546 | 5) - 12 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;545 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;600 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:02&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:46 Requested new trip generation. Details:\n\tCoordinates: (40.72592726802, -73.9920434795)\n\tTime: 600\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (40.72592726802, -73.9920434795)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 135 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 132 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:116 Found 4 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 265 landmarks in total.\nINFO     src.landmarks.landmarks_routes:landmarks_routes.py:60 Fetched 265 landmarks in  \t: 0.047 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_routes:optimization_routes.py:62 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_routes:optimization_routes.py:67 Requested new trip generation. Details:\n\tCoordinates: (40.72592726802, -73.9920434795)\n\tTime: 600\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 4 times, objective value : 9501\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 3 times, objective value : 15330\nINFO     src.optimization.optimization_routes:optimization_routes.py:124 Total computation time\t: 1.946 seconds\nINFO     src.optimization.optimization_routes:optimization_routes.py:129 Optimized a trip of 545 minutes with 23 landmarks in 1.946 seconds.\nINFO     src.optimization.optimization_routes:optimization_routes.py:130 Detailed trip :\n\tLandmark(start): [start @(40.72592726802, -73.9920434795), score=0, time_to_next=7]\n\tLandmark(sightseeing): [Saint Patrick&amp;#x27;s Old Cathedral @(40.723587, -73.995193), score=489, time_to_next=9, secondary]\n\tLandmark(sightseeing): [Capitale @(40.7189209, -73.9951923), score=840, time_to_next=9]\n\tLandmark(sightseeing): [Museum at Eldridge Street @(40.7147291, -73.993461), score=604, time_to_next=4, secondary]\n\tLandmark(sightseeing): [First Chinese Presbyterian Church @(40.7131882, -73.9947657), score=461, time_to_next=9, secondary]\n\tLandmark(nature): [Columbus Park @(40.715093, -74.0000527), score=738, time_to_next=4]\n\tLandmark(nature): [Collect Pond Park @(40.716296, -74.0018559), score=555, time_to_next=13, secondary]\n\tLandmark(nature): [Duarte Square @(40.7225426, -74.005495), score=783, time_to_next=5]\n\tLandmark(nature): [Tribeca Park @(40.7202231, -74.0057003), score=520, time_to_next=8, secondary]\n\tLandmark(nature): [Duane Park @(40.7171626, -74.0094072), score=519, time_to_next=10, secondary]\n\tLandmark(nature): [One World Observatory @(40.712949, -74.0130438), score=1499, time_to_next=3]\n\tLandmark(sightseeing): [9/11 Memorial &amp;amp; Museum @(40.711456, -74.0127418), score=780, time_to_next=3]\n\tLandmark(sightseeing): [One World Trade Center @(40.7129993, -74.0131894), score=871, time_to_next=8]\n\tLandmark(nature): [Washington Market Park @(40.7170293, -74.0116432), score=606, time_to_next=4]\n\tLandmark(nature): [Staple Street Skybridge @(40.7183436, -74.0094133), score=565, time_to_next=9, secondary]\n\tLandmark(nature): [Albert Capsouto Park @(40.7220728, -74.0058909), score=519, time_to_next=7, secondary]\n\tLandmark(sightseeing): [New York City Fire Museum @(40.7255756, -74.0069355), score=461, time_to_next=28, secondary]\n\tLandmark(sightseeing): [Whitney Museum of American Art @(40.739633, -74.0089385), score=575, time_to_next=4, secondary]\n\tLandmark(nature): [Southeast Overlook @(40.7416246, -74.0102566), score=787, time_to_next=4]\n\tLandmark(nature): [Free Public Stargazing @(40.740586, -74.0081171), score=1874, time_to_next=28]\n\tLandmark(nature): [Union Square Park @(40.7358088, -73.9904565), score=738, time_to_next=7]\n\tLandmark(sightseeing): [Grace Church @(40.7319828, -73.9909081), score=546, time_to_next=12, secondary]\n\tLandmark(finish): [finish @(40.72592726802, -73.9920434795), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}]}, &#34;renderCollapsed&#34;: [&#34;passed&#34;], &#34;initialSort&#34;: &#34;result&#34;, &#34;title&#34;: &#34;Backend Testing Report&#34;}"></div>
+    <div id="data-container" data-jsonblob="{&#34;environment&#34;: {&#34;Python&#34;: &#34;3.12.3&#34;, &#34;Platform&#34;: &#34;Linux-6.8.0-63-generic-x86_64-with-glibc2.39&#34;, &#34;Packages&#34;: {&#34;pytest&#34;: &#34;8.3.4&#34;, &#34;pluggy&#34;: &#34;1.5.0&#34;}, &#34;Plugins&#34;: {&#34;html&#34;: &#34;4.1.1&#34;, &#34;anyio&#34;: &#34;4.8.0&#34;, &#34;metadata&#34;: &#34;3.1.1&#34;}}, &#34;tests&#34;: {&#34;src/tests/test_trip_generation.py::test_trip[0-0-5-240-start_coords0-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[0-0-5-240-start_coords0-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Failed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[0-0-5-240-start_coords0-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 4 - Vue sous-terraine du Parking des C\u00e9lestins (565 | 10) - 6 - Square des Estr\u00e9es (56 | 5) - 10 - Jardin Andr\u00e9 Malraux (78 | 5) - 4 - Esplanade (1748 | 10) - 6 - Parc des Hauteurs (98 | 5) - 18 - Tour des Deux Amants (355 | 10) - 53 - Square Louis Blanc (382 | 5) - 22 - Place Aristide Briand (78 | 5) - 34 - Le Rh\u00f4ne (559 | 5) - 28 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;245 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:09:28&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;client = &amp;lt;starlette.testclient.TestClient object at 0x785e069c7a10&amp;gt;, request = &amp;lt;FixtureRequest for &amp;lt;Function test_trip[0-0-5-240-start_coords0-None]&amp;gt;&amp;gt;, sightseeing = 0, shopping = 0, nature = 5, max_time_minute = 240\nstart_coords = [45.7576485, 4.8330241], end_coords = None\n\n    @pytest.mark.parametrize(\n        &amp;quot;sightseeing, shopping, nature, max_time_minute, start_coords, end_coords&amp;quot;,\n        [\n            # Edge cases\n            (0, 0, 5, 240, [45.7576485, 4.8330241], None),                  # Lyon, Bellecour - test shopping only\n    \n            # Realistic\n            (5, 0, 0, 20, [48.0845881, 7.2804050], None),                   # Turckheim\n            (5, 5, 5, 120, [45.7576485, 4.8330241], None),                  # Lyon, Bellecour\n            (5, 2, 5, 240, [50.9423526, 6.9577780], None),                  # Cologne, centre\n            (3, 5, 0, 180, [48.5846589226, 7.74078715721], None),           # Strasbourg, centre\n            (2, 4, 5, 180, [47.377884227, 8.5395114066], None),             # Zurich, centre\n            (5, 0, 5, 200, [48.85468881798671, 2.3423925755998374], None),  # Paris, centre\n            (5, 5, 5, 600, [40.72592726802, -73.9920434795], None),         # New York, Lower Manhattan\n        ]\n    )\n    def test_trip(client, request, sightseeing, shopping, nature, max_time_minute, start_coords, end_coords):\n    \n        start_time = time.time()  # Start timer\n    \n        prefs = Preferences(\n            sightseeing=Preference(type=&amp;#x27;sightseeing&amp;#x27;, score=sightseeing),\n            shopping=Preference(type=&amp;#x27;shopping&amp;#x27;, score=shopping),\n            nature=Preference(type=&amp;#x27;nature&amp;#x27;, score=nature),\n            max_time_minute=max_time_minute,\n            detour_tolerance_minute=0,\n        )\n        start = start_coords\n        end = end_coords\n    \n        # Step 1: request the list of landmarks in the vicinty of the starting point\n        response = client.post(\n            &amp;quot;/get/landmarks&amp;quot;,\n            json={\n                &amp;quot;preferences&amp;quot;: prefs.model_dump(),\n                &amp;quot;start&amp;quot;: start_coords,\n                &amp;quot;end&amp;quot;: end_coords,\n                }\n            )\n        landmarks = response.json()\n    \n        # Step 2: Feed the landmarks to the optimizer to compute the trip\n        response = client.post(\n            &amp;quot;/optimize/trip&amp;quot;,\n            json={\n                &amp;quot;preferences&amp;quot;: prefs.model_dump(),\n                &amp;quot;landmarks&amp;quot;: landmarks,\n                &amp;quot;start&amp;quot;: start,\n                &amp;quot;end&amp;quot;: end,\n                }\n            )\n        result = response.json()\n        landmarks = load_trip_landmarks(client, result[&amp;#x27;first_landmark_uuid&amp;#x27;])\n    \n        # Get computation time\n        comp_time = time.time() - start_time\n    \n        # Add details to report\n        log_trip_details(request, landmarks, result[&amp;#x27;total_time&amp;#x27;], prefs.max_time_minute)\n    \n        # checks :\n        assert response.status_code == 200  # check for successful planning\n&amp;gt;       assert comp_time &amp;lt; 30, f&amp;quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&amp;quot;\nE       AssertionError: Computation time exceeded 30 seconds: 567.86 seconds\nE       assert 567.858460187912 &amp;lt; 30\n\nsrc/tests/test_trip_generation.py:79: AssertionError\n\n------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 240\n\tSightseeing: 0\n\tNature: 5\n\tShopping: 0\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (45.7576485, 4.8330241)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:108 Found 91 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 84 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 84 landmarks in  \t: 0.007 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 240\n\tSightseeing: 0\n\tNature: 5\n\tShopping: 0\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 0 times, objective value : 6249\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 15 times, objective value : 3919\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 3.514 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 245 minutes with 11 landmarks in 3.514 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(45.7576485, 4.8330241), score=0, time_to_next=4]\n\tLandmark(nature): [Vue sous-terraine du Parking des C\u00e9lestins @(45.7597666, 4.8318664), score=565, time_to_next=6]\n\tLandmark(nature): [Square des Estr\u00e9es @(45.7613238, 4.8278969), score=56, time_to_next=10]\n\tLandmark(nature): [Jardin Andr\u00e9 Malraux @(45.7585166, 4.8215829), score=78, time_to_next=4]\n\tLandmark(nature): [Esplanade @(45.7603525, 4.8205849), score=1748, time_to_next=6]\n\tLandmark(nature): [Parc des Hauteurs @(45.7632417, 4.8182253), score=98, time_to_next=18]\n\tLandmark(nature): [Tour des Deux Amants @(45.7702868, 4.8101303), score=355, time_to_next=53]\n\tLandmark(nature): [Square Louis Blanc @(45.7644092, 4.8479543), score=382, time_to_next=22]\n\tLandmark(nature): [Place Aristide Briand @(45.7531331, 4.8497417), score=78, time_to_next=34]\n\tLandmark(nature): [Le Rh\u00f4ne @(45.7435106, 4.82879), score=559, time_to_next=28]\n\tLandmark(finish): [finish @(45.7576485, 4.8330241), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nERROR    src.overpass.overpass:overpass.py:423 An error occured while parsing file cache/hollow_6863772e04bd1b3cdb36c53fd76f92a1.json as .json file: Error connecting to Overpass API: HTTP Error 429: Too Many Requests\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 279/280 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-0-0-20-start_coords1-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-0-0-20-start_coords1-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-0-0-20-start_coords1-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 6 - H\u00f4tel de ville (238 | 5) - 1 - H\u00f4tel des Deux-Clefs (217 | 5) - 6 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;23 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;20 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:02&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (48.0845881, 7.280405)\n\tTime: 20\n\tSightseeing: 5\n\tNature: 0\n\tShopping: 0\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (48.0845881, 7.280405)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:95 Found 9 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 7 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 7 landmarks in  \t: 0.03 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (48.0845881, 7.280405)\n\tTime: 20\n\tSightseeing: 5\n\tNature: 0\n\tShopping: 0\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 0 times, objective value : 455\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 0 times, objective value : 455\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 0.093 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 23 minutes with 4 landmarks in 0.093 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(48.0845881, 7.280405), score=0, time_to_next=6]\n\tLandmark(sightseeing): [H\u00f4tel de ville @(48.0874108, 7.2779686), score=238, time_to_next=1]\n\tLandmark(sightseeing): [H\u00f4tel des Deux-Clefs @(48.0871764, 7.2776559), score=217, time_to_next=6]\n\tLandmark(finish): [finish @(48.0845881, 7.280405), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 1/1 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-120-start_coords2-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-120-start_coords2-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-5-5-120-start_coords2-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 4 - Vue sous-terraine du Parking des C\u00e9lestins (565 | 10) - 15 - Esplanade (1748 | 10) - 0 - Lugdunum Mus\u00e9e et Th\u00e9\u00e2tres Romains (272 | 60) - 2 - Fourvi\u00e8re (1785 | 20) - 19 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;140 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;120 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:21&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 120\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (45.7576485, 4.8330241)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:95 Found 161 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 3 different sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:108 Found 91 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:115 Found 10 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 232 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 232 landmarks in  \t: 0.092 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (45.7576485, 4.8330241)\n\tTime: 120\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 18 times, objective value : 3837\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 12 times, objective value : 4370\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 20.544 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 140 minutes with 6 landmarks in 20.544 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(45.7576485, 4.8330241), score=0, time_to_next=4]\n\tLandmark(nature): [Vue sous-terraine du Parking des C\u00e9lestins @(45.7597666, 4.8318664), score=565, time_to_next=15]\n\tLandmark(nature): [Esplanade @(45.7603525, 4.8205849), score=1748]\n\tLandmark(sightseeing): [Lugdunum Mus\u00e9e et Th\u00e9\u00e2tres Romains @(45.760294, 4.8204842), score=272, time_to_next=2]\n\tLandmark(sightseeing): [Fourvi\u00e8re @(45.7596274, 4.819224), score=1785, time_to_next=19]\n\tLandmark(finish): [finish @(45.7576485, 4.8330241), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-2-5-240-start_coords3-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-2-5-240-start_coords3-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-2-5-240-start_coords3-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 2 - K\u00f6lner Dom (1616 | 10) - 12 - St. Kunibert (780 | 5) - 17 - K\u00f6ln Triangle (10129 | 10) - 13 - Gro\u00df St. Martin (634 | 5) - 4 - Rathaus (Spanischer Bau) (480 | 5) - 11 - Trinitatiskirche (633 | 5) - 6 - St. Georg (483 | 5) - 4 - Finanzamt K\u00f6ln-Mitte (483 | 5) - 14 - Oper der Stadt K\u00f6ln (632 | 5) - 1 - Schauspielhaus K\u00f6ln (507 | 5) - 5 - Kreissparkasse K\u00f6ln (728 | 5) - 2 - St. Aposteln (891 | 5) - 11 - Alte Wache (518 | 5) - 3 - St. Maria in der Kupfergasse (633 | 5) - 7 - St.Andreas (728 | 5) - 2 - Excelsior Hotel Ernst (825 | 5) - 2 - St. Mari\u00e4 Himmelfahrt (531 | 5) - 2 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;213 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:05&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (50.9423526, 6.957778)\n\tTime: 240\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 2\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (50.9423526, 6.957778)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:95 Found 278 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:108 Found 61 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:115 Found 5 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 4 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 264 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 264 landmarks in  \t: 0.102 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (50.9423526, 6.957778)\n\tTime: 240\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 2\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 1 times, objective value : 19248\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 11 times, objective value : 21231\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 4.87 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 213 minutes with 19 landmarks in 4.87 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(50.9423526, 6.957778), score=0, time_to_next=2]\n\tLandmark(sightseeing): [K\u00f6lner Dom @(50.941307, 6.9581112), score=1616, time_to_next=12]\n\tLandmark(sightseeing): [St. Kunibert @(50.9467494, 6.9626688), score=780, time_to_next=17]\n\tLandmark(nature): [K\u00f6ln Triangle @(50.9403874, 6.9718004), score=10129, time_to_next=13]\n\tLandmark(sightseeing): [Gro\u00df St. Martin @(50.9385743, 6.9616193), score=634, time_to_next=4]\n\tLandmark(sightseeing): [Rathaus (Spanischer Bau) @(50.9386624, 6.95873), score=480, time_to_next=11, secondary]\n\tLandmark(sightseeing): [Trinitatiskirche @(50.9333896, 6.9607359), score=633, time_to_next=6]\n\tLandmark(sightseeing): [St. Georg @(50.9319032, 6.9568456), score=483, time_to_next=4, secondary]\n\tLandmark(sightseeing): [Finanzamt K\u00f6ln-Mitte @(50.9311327, 6.9538126), score=483, time_to_next=14, secondary]\n\tLandmark(sightseeing): [Oper der Stadt K\u00f6ln @(50.9379922, 6.9512598), score=632, time_to_next=1, secondary]\n\tLandmark(sightseeing): [Schauspielhaus K\u00f6ln @(50.9374189, 6.9507855), score=507, time_to_next=5, secondary]\n\tLandmark(sightseeing): [Kreissparkasse K\u00f6ln @(50.9369529, 6.9464245), score=728, time_to_next=2]\n\tLandmark(sightseeing): [St. Aposteln @(50.9366002, 6.9449933), score=891, time_to_next=11]\n\tLandmark(sightseeing): [Alte Wache @(50.9412545, 6.9495581), score=518, time_to_next=3, secondary]\n\tLandmark(sightseeing): [St. Maria in der Kupfergasse @(50.9398145, 6.9502032), score=633, time_to_next=7]\n\tLandmark(sightseeing): [St.Andreas @(50.9419526, 6.9548971), score=728, time_to_next=2]\n\tLandmark(sightseeing): [Excelsior Hotel Ernst @(50.9421627, 6.9563448), score=825, time_to_next=2]\n\tLandmark(sightseeing): [St. Mari\u00e4 Himmelfahrt @(50.943059, 6.9566598), score=531, time_to_next=2, secondary]\n\tLandmark(finish): [finish @(50.9423526, 6.957778), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[3-5-0-180-start_coords4-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[3-5-0-180-start_coords4-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[3-5-0-180-start_coords4-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 8 - \u00c9glise protestante Saint-Pierre-le-Jeune (208 | 5) - 6 - H\u00f4tel de Ville (198 | 5) - 4 - De la Grande \u00eele \u00e0 la Neustadt (248 | 5) - 8 - \u00c9glise Saint-Paul (235 | 5) - 6 - Bains municipaux de Strasbourg (327 | 5) - 9 - \u00c9glise catholique Sainte-Madeleine (168 | 5) - 6 - Cath\u00e9drale Notre-Dame (495 | 10) - 8 - \u00c9glise Saint-Nicolas (181 | 5) - 3 - Porte de l&#39;H\u00f4pital (145 | 5) - 7 - \u00c9glise protestante Saint-Thomas (181 | 5) - 2 - Circuit \u00ab Petite France \u00bb (248 | 5) - 9 - Barrage Vauban (248 | 5) - 10 - \u00c9glise Catholique Saint-Jean-Baptiste (168 | 5) - 1 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;157 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:04&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (48.5846589226, 7.74078715721)\n\tTime: 180\n\tSightseeing: 3\n\tNature: 0\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (48.5846589226, 7.74078715721)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:95 Found 76 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:115 Found 3 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 2 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 70 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 70 landmarks in  \t: 0.039 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (48.5846589226, 7.74078715721)\n\tTime: 180\n\tSightseeing: 3\n\tNature: 0\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 1 times, objective value : 3182\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 6 times, objective value : 3050\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 3.846 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 157 minutes with 15 landmarks in 3.846 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(48.5846589226, 7.74078715721), score=0, time_to_next=8]\n\tLandmark(sightseeing): [\u00c9glise protestante Saint-Pierre-le-Jeune @(48.5855301, 7.7465472), score=208, time_to_next=6]\n\tLandmark(sightseeing): [H\u00f4tel de Ville @(48.5846612, 7.7506403), score=198, time_to_next=4]\n\tLandmark(sightseeing): [De la Grande \u00eele \u00e0 la Neustadt @(48.5849416, 7.7539938), score=248, time_to_next=8]\n\tLandmark(sightseeing): [\u00c9glise Saint-Paul @(48.5863214, 7.759848), score=235, time_to_next=6]\n\tLandmark(sightseeing): [Bains municipaux de Strasbourg @(48.5833343, 7.7595517), score=327, time_to_next=9]\n\tLandmark(sightseeing): [\u00c9glise catholique Sainte-Madeleine @(48.5799473, 7.7548339), score=168, time_to_next=6, secondary]\n\tLandmark(sightseeing): [Cath\u00e9drale Notre-Dame @(48.5818887, 7.7510342), score=495, time_to_next=8]\n\tLandmark(sightseeing): [\u00c9glise Saint-Nicolas @(48.5783593, 7.748501), score=181, time_to_next=3]\n\tLandmark(sightseeing): [Porte de l&amp;#x27;H\u00f4pital @(48.5770255, 7.7495671), score=145, time_to_next=7, secondary]\n\tLandmark(sightseeing): [\u00c9glise protestante Saint-Thomas @(48.5796572, 7.7456235), score=181, time_to_next=2]\n\tLandmark(sightseeing): [Circuit \u00ab Petite France \u00bb @(48.5807382, 7.7450251), score=248, time_to_next=9]\n\tLandmark(sightseeing): [Barrage Vauban @(48.5795997, 7.7380036), score=248, time_to_next=10]\n\tLandmark(sightseeing): [\u00c9glise Catholique Saint-Jean-Baptiste @(48.584387, 7.7400892), score=168, time_to_next=1, secondary]\n\tLandmark(finish): [finish @(48.5846589226, 7.74078715721), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[2-4-5-180-start_coords5-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[2-4-5-180-start_coords5-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[2-4-5-180-start_coords5-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 6 - Platzpromenade (187 | 5) - 13 - Polyterrasse (355 | 10) - 3 - Friedenskirche (83 | 5) - 9 - Karlsturm (1874 | 10) - 0 - Grossm\u00fcnster (202 | 5) - 1 - Helmhaus (173 | 60) - 8 - B\u00fcrkliplatz (565 | 10) - 0 - Ganymed (87 | 5) - 7 - Fraum\u00fcnster (222 | 5) - 7 - Lindenhof (1018 | 10) - 6 - St. Anna-Kapelle (83 | 5) - 6 - Pestalozzianlage (149 | 5) - 5 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;206 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:15&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (47.377884227, 8.5395114066)\n\tTime: 180\n\tSightseeing: 2\n\tNature: 5\n\tShopping: 4\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (47.377884227, 8.5395114066)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:95 Found 85 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:108 Found 64 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:115 Found 3 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 3 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 145 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 145 landmarks in  \t: 0.044 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (47.377884227, 8.5395114066)\n\tTime: 180\n\tSightseeing: 2\n\tNature: 5\n\tShopping: 4\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 18 times, objective value : 4603\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 7 times, objective value : 4998\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 14.429 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 206 minutes with 14 landmarks in 14.429 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(47.377884227, 8.5395114066), score=0, time_to_next=6]\n\tLandmark(nature): [Platzpromenade @(47.3808468, 8.5400135), score=187, time_to_next=13]\n\tLandmark(nature): [Polyterrasse @(47.3760957, 8.5465161), score=355, time_to_next=3]\n\tLandmark(sightseeing): [Friedenskirche @(47.3746359, 8.5464654), score=83, time_to_next=9, secondary]\n\tLandmark(nature): [Karlsturm @(47.3701486, 8.5436792), score=1874]\n\tLandmark(sightseeing): [Grossm\u00fcnster @(47.3701027, 8.5439722), score=202, time_to_next=1]\n\tLandmark(sightseeing): [Helmhaus @(47.3698596, 8.5431622), score=173, time_to_next=8]\n\tLandmark(nature): [B\u00fcrkliplatz @(47.3661525, 8.5415251), score=565]\n\tLandmark(sightseeing): [Ganymed @(47.3660139, 8.5412137), score=87, time_to_next=7]\n\tLandmark(sightseeing): [Fraum\u00fcnster @(47.3697135, 8.5412029), score=222, time_to_next=7]\n\tLandmark(nature): [Lindenhof @(47.3730646, 8.5413876), score=1018, time_to_next=6]\n\tLandmark(sightseeing): [St. Anna-Kapelle @(47.3727574, 8.536799), score=83, time_to_next=6, secondary]\n\tLandmark(nature): [Pestalozzianlage @(47.3755915, 8.5387409), score=149, time_to_next=5]\n\tLandmark(finish): [finish @(47.377884227, 8.5395114066), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-0-5-200-start_coords6-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-0-5-200-start_coords6-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Passed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-0-5-200-start_coords6-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 12 - \u00c9glise Saint-Sulpice (760 | 5) - 15 - Pont des Arts (1256 | 10) - 6 - Palais du Louvre (991 | 5) - 8 - \u00c9glise Saint-Roch (662 | 5) - 12 - Temple de l&#39;Oratoire du Louvre (840 | 5) - 5 - \u00c9glise Saint-Germain l&#39;Auxerrois (691 | 5) - 7 - Jardin Nelson Mandela (562 | 5) - 11 - Square de la Tour Saint-Jacques (435 | 5) - 0 - Tour Saint-Jacques (1025 | 5) - 7 - Centre Georges Pompidou (1212 | 5) - 8 - H\u00f4tel de Ville (696 | 5) - 8 - Cath\u00e9drale Notre-Dame de Paris (1534 | 10) - 9 - Palais de Justice de Paris (608 | 5) - 3 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;186 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;200 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:08&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (48.85468881798671, 2.3423925755998374)\n\tTime: 200\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 0\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (48.85468881798671, 2.3423925755998374)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:95 Found 430 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:108 Found 137 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 447 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 447 landmarks in  \t: 0.086 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (48.85468881798671, 2.3423925755998374)\n\tTime: 200\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 0\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 4 times, objective value : 12777\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 7 times, objective value : 11272\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 8.309 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 186 minutes with 15 landmarks in 8.309 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(48.85468881798671, 2.3423925755998374), score=0, time_to_next=12]\n\tLandmark(sightseeing): [\u00c9glise Saint-Sulpice @(48.8509826, 2.3348577), score=760, time_to_next=15]\n\tLandmark(nature): [Pont des Arts @(48.8585951, 2.3376989), score=1256, time_to_next=6]\n\tLandmark(sightseeing): [Palais du Louvre @(48.8614768, 2.3351677), score=991, time_to_next=8]\n\tLandmark(sightseeing): [\u00c9glise Saint-Roch @(48.8653817, 2.3326659), score=662, time_to_next=12]\n\tLandmark(sightseeing): [Temple de l&amp;#x27;Oratoire du Louvre @(48.8616725, 2.3400059), score=840, time_to_next=5]\n\tLandmark(sightseeing): [\u00c9glise Saint-Germain l&amp;#x27;Auxerrois @(48.8595016, 2.3413445), score=691, time_to_next=7]\n\tLandmark(nature): [Jardin Nelson Mandela @(48.8626235, 2.344487), score=562, time_to_next=11, secondary]\n\tLandmark(nature): [Square de la Tour Saint-Jacques @(48.857913, 2.3487608), score=435, secondary]\n\tLandmark(sightseeing): [Tour Saint-Jacques @(48.8579983, 2.3489178), score=1025, time_to_next=7]\n\tLandmark(sightseeing): [Centre Georges Pompidou @(48.8605235, 2.3524395), score=1212, time_to_next=8]\n\tLandmark(sightseeing): [H\u00f4tel de Ville @(48.8564265, 2.352527), score=696, time_to_next=8]\n\tLandmark(sightseeing): [Cath\u00e9drale Notre-Dame de Paris @(48.8529372, 2.3498701), score=1534, time_to_next=9]\n\tLandmark(sightseeing): [Palais de Justice de Paris @(48.8556537, 2.3446072), score=608, time_to_next=3, secondary]\n\tLandmark(finish): [finish @(48.85468881798671, 2.3423925755998374), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-600-start_coords7-None]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_trip_generation.py::test_trip[5-5-5-600-start_coords7-None]&#34;, &#34;resultsTableRow&#34;: [&#34;&lt;td class=\&#34;col-result\&#34;&gt;Failed&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-testId\&#34;&gt;src/tests/test_trip_generation.py::test_trip[5-5-5-600-start_coords7-None]&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 11 - Saint Mark&#39;s in-the-Bowery (662 | 5) - 6 - Grace Church (546 | 5) - 7 - Union Square Park (738 | 5) - 10 - Flatiron Building (648 | 5) - 3 - Madison Square Park (738 | 5) - 30 - Free Public Stargazing (1874 | 10) - 2 - Whitney Museum of American Art (575 | 60) - 4 - Southeast Overlook (787 | 10) - 2 - Northwest Overlook (565 | 10) - 40 - Duarte Square (783 | 5) - 1 - Albert Capsouto Park (519 | 5) - 4 - Tribeca Park (520 | 5) - 7 - Staple Street Skybridge (565 | 10) - 2 - Duane Park (519 | 5) - 3 - Washington Market Park (606 | 5) - 8 - One World Observatory (1499 | 10) - 0 - One World Trade Center (871 | 5) - 3 - 9/11 Memorial &amp; Museum (780 | 60) - 19 - Collect Pond Park (555 | 5) - 4 - Columbus Park (738 | 5) - 10 - Capitale (840 | 5) - 14 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;430 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;600 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:05&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;client = &amp;lt;starlette.testclient.TestClient object at 0x785e069c7a10&amp;gt;, request = &amp;lt;FixtureRequest for &amp;lt;Function test_trip[5-5-5-600-start_coords7-None]&amp;gt;&amp;gt;, sightseeing = 5, shopping = 5, nature = 5, max_time_minute = 600\nstart_coords = [40.72592726802, -73.9920434795], end_coords = None\n\n    @pytest.mark.parametrize(\n        &amp;quot;sightseeing, shopping, nature, max_time_minute, start_coords, end_coords&amp;quot;,\n        [\n            # Edge cases\n            (0, 0, 5, 240, [45.7576485, 4.8330241], None),                  # Lyon, Bellecour - test shopping only\n    \n            # Realistic\n            (5, 0, 0, 20, [48.0845881, 7.2804050], None),                   # Turckheim\n            (5, 5, 5, 120, [45.7576485, 4.8330241], None),                  # Lyon, Bellecour\n            (5, 2, 5, 240, [50.9423526, 6.9577780], None),                  # Cologne, centre\n            (3, 5, 0, 180, [48.5846589226, 7.74078715721], None),           # Strasbourg, centre\n            (2, 4, 5, 180, [47.377884227, 8.5395114066], None),             # Zurich, centre\n            (5, 0, 5, 200, [48.85468881798671, 2.3423925755998374], None),  # Paris, centre\n            (5, 5, 5, 600, [40.72592726802, -73.9920434795], None),         # New York, Lower Manhattan\n        ]\n    )\n    def test_trip(client, request, sightseeing, shopping, nature, max_time_minute, start_coords, end_coords):\n    \n        start_time = time.time()  # Start timer\n    \n        prefs = Preferences(\n            sightseeing=Preference(type=&amp;#x27;sightseeing&amp;#x27;, score=sightseeing),\n            shopping=Preference(type=&amp;#x27;shopping&amp;#x27;, score=shopping),\n            nature=Preference(type=&amp;#x27;nature&amp;#x27;, score=nature),\n            max_time_minute=max_time_minute,\n            detour_tolerance_minute=0,\n        )\n        start = start_coords\n        end = end_coords\n    \n        # Step 1: request the list of landmarks in the vicinty of the starting point\n        response = client.post(\n            &amp;quot;/get/landmarks&amp;quot;,\n            json={\n                &amp;quot;preferences&amp;quot;: prefs.model_dump(),\n                &amp;quot;start&amp;quot;: start_coords,\n                &amp;quot;end&amp;quot;: end_coords,\n                }\n            )\n        landmarks = response.json()\n    \n        # Step 2: Feed the landmarks to the optimizer to compute the trip\n        response = client.post(\n            &amp;quot;/optimize/trip&amp;quot;,\n            json={\n                &amp;quot;preferences&amp;quot;: prefs.model_dump(),\n                &amp;quot;landmarks&amp;quot;: landmarks,\n                &amp;quot;start&amp;quot;: start,\n                &amp;quot;end&amp;quot;: end,\n                }\n            )\n        result = response.json()\n        landmarks = load_trip_landmarks(client, result[&amp;#x27;first_landmark_uuid&amp;#x27;])\n    \n        # Get computation time\n        comp_time = time.time() - start_time\n    \n        # Add details to report\n        log_trip_details(request, landmarks, result[&amp;#x27;total_time&amp;#x27;], prefs.max_time_minute)\n    \n        # checks :\n        assert response.status_code == 200  # check for successful planning\n        assert comp_time &amp;lt; 30, f&amp;quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&amp;quot;\n&amp;gt;       assert prefs.max_time_minute*0.8 &amp;lt; result[&amp;#x27;total_time&amp;#x27;], f&amp;quot;Trip too short: {result[&amp;#x27;total_time&amp;#x27;]} instead of {prefs.max_time_minute}&amp;quot;\nE       AssertionError: Trip too short: 430 instead of 600\nE       assert (600 * 0.8) &amp;lt; 430\nE        +  where 600 = Preferences(sightseeing=Preference(type=&amp;#x27;sightseeing&amp;#x27;, score=5), nature=Preference(type=&amp;#x27;nature&amp;#x27;, score=5), shopping=Preference(type=&amp;#x27;shopping&amp;#x27;, score=5), max_time_minute=600, detour_tolerance_minute=0).max_time_minute\n\nsrc/tests/test_trip_generation.py:80: AssertionError\n\n------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_router:landmarks_router.py:46 Requested new trip generation. Details:\n\tCoordinates: (40.72592726802, -73.9920434795)\n\tTime: 600\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:80 Starting to fetch landmarks around (40.72592726802, -73.9920434795)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:95 Found 135 sightseeing landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:108 Found 132 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:115 Found 4 shopping landmarks\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:131 Found 265 landmarks in total.\nINFO     src.landmarks.landmarks_router:landmarks_router.py:60 Fetched 265 landmarks in  \t: 0.082 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/get/landmarks &amp;quot;HTTP/1.1 200 OK&amp;quot;\nINFO     src.optimization.optimization_router:optimization_router.py:63 No end coordinates provided. Using start=end.\nINFO     src.optimization.optimization_router:optimization_router.py:68 Requested new trip generation. Details:\n\tCoordinates: (40.72592726802, -73.9920434795)\n\tTime: 600\n\tSightseeing: 5\n\tNature: 5\n\tShopping: 5\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 4 times, objective value : 9738\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 6 times, objective value : 15928\nINFO     src.optimization.optimization_router:optimization_router.py:129 Total computation time\t: 4.462 seconds\nINFO     src.optimization.optimization_router:optimization_router.py:134 Optimized a trip of 430 minutes with 23 landmarks in 4.462 seconds.\nINFO     src.optimization.optimization_router:optimization_router.py:135 Detailed trip :\n\tLandmark(start): [start @(40.72592726802, -73.9920434795), score=0, time_to_next=11]\n\tLandmark(sightseeing): [Saint Mark&amp;#x27;s in-the-Bowery @(40.7303555, -73.9870882), score=662, time_to_next=6, secondary]\n\tLandmark(sightseeing): [Grace Church @(40.7319828, -73.9909081), score=546, time_to_next=7, secondary]\n\tLandmark(nature): [Union Square Park @(40.7358088, -73.9904565), score=738, time_to_next=10]\n\tLandmark(sightseeing): [Flatiron Building @(40.74103, -73.9896864), score=648, time_to_next=3, secondary]\n\tLandmark(nature): [Madison Square Park @(40.7421868, -73.987872), score=738, time_to_next=30]\n\tLandmark(nature): [Free Public Stargazing @(40.740586, -74.0081171), score=1874, time_to_next=2]\n\tLandmark(sightseeing): [Whitney Museum of American Art @(40.739633, -74.0089385), score=575, time_to_next=4, secondary]\n\tLandmark(nature): [Southeast Overlook @(40.7416246, -74.0102566), score=787, time_to_next=2]\n\tLandmark(nature): [Northwest Overlook @(40.7425714, -74.0108254), score=565, time_to_next=40, secondary]\n\tLandmark(nature): [Duarte Square @(40.7225426, -74.005495), score=783, time_to_next=1]\n\tLandmark(nature): [Albert Capsouto Park @(40.7220728, -74.0058909), score=519, time_to_next=4, secondary]\n\tLandmark(nature): [Tribeca Park @(40.7202231, -74.0057003), score=520, time_to_next=7, secondary]\n\tLandmark(nature): [Staple Street Skybridge @(40.7183436, -74.0094133), score=565, time_to_next=2, secondary]\n\tLandmark(nature): [Duane Park @(40.7171626, -74.0094072), score=519, time_to_next=3, secondary]\n\tLandmark(nature): [Washington Market Park @(40.7170293, -74.0116432), score=606, time_to_next=8, secondary]\n\tLandmark(nature): [One World Observatory @(40.712949, -74.0130438), score=1499]\n\tLandmark(sightseeing): [One World Trade Center @(40.7129993, -74.0131894), score=871, time_to_next=3]\n\tLandmark(sightseeing): [9/11 Memorial &amp;amp; Museum @(40.711456, -74.0127418), score=780, time_to_next=19]\n\tLandmark(nature): [Collect Pond Park @(40.716296, -74.0018559), score=555, time_to_next=4, secondary]\n\tLandmark(nature): [Columbus Park @(40.715093, -74.0000527), score=738, time_to_next=10]\n\tLandmark(sightseeing): [Capitale @(40.7189209, -73.9951923), score=840, time_to_next=14]\n\tLandmark(finish): [finish @(40.72592726802, -73.9920434795), score=0]\nINFO     src.overpass.overpass:overpass.py:405 Trip successfully returned, starting to fill cache.\nINFO     src.overpass.overpass:overpass.py:425 Successfully filled 0/0 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/optimize/trip &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}]}, &#34;renderCollapsed&#34;: [&#34;passed&#34;], &#34;initialSort&#34;: &#34;result&#34;, &#34;title&#34;: &#34;Backend Testing Report&#34;}"></div>
     <script>
       (function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==typeof require&&require;if(!f&&c)return c(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u="function"==typeof require&&require,i=0;i<t.length;i++)o(t[i]);return o}return r})()({1:[function(require,module,exports){
 const { getCollapsedCategory, setCollapsedIds } = require('./storage.js')
diff --git a/backend/src/landmarks/landmarks_manager.py b/backend/src/landmarks/landmarks_manager.py
index 1ab1944..719153d 100644
--- a/backend/src/landmarks/landmarks_manager.py
+++ b/backend/src/landmarks/landmarks_manager.py
@@ -4,7 +4,6 @@ import yaml
 
 from ..structs.preferences import Preferences
 from ..structs.landmark import Landmark
-from ..utils.take_most_important import take_most_important
 from .cluster_manager import ClusterManager
 from ..overpass.overpass import Overpass, get_base_info
 from ..utils.bbox import create_bbox
@@ -23,7 +22,7 @@ class LandmarkManager:
     church_coeff: float     # coeff to adjsut score of churches
     nature_coeff: float       # coeff to adjust score of parks
     overall_coeff: float        # coeff to adjust weight of tags
-    n_important: int        # number of important landmarks to consider
+    # n_important: int        # number of important landmarks to consider
 
 
     def __init__(self) -> None:
@@ -42,7 +41,7 @@ class LandmarkManager:
             self.wikipedia_bonus = parameters['wikipedia_bonus']
             self.viewpoint_bonus = parameters['viewpoint_bonus']
             self.pay_bonus = parameters['pay_bonus']
-            self.n_important = parameters['N_important']
+            # self.n_important = parameters['N_important']
 
         with OPTIMIZER_PARAMETERS_PATH.open('r') as f:
             parameters = yaml.safe_load(f)
@@ -60,7 +59,7 @@ class LandmarkManager:
             center_coordinates: tuple[float, float],
             preferences: Preferences,
             allow_clusters: bool = True
-            ) -> tuple[list[Landmark], list[Landmark]]:
+            ) -> list[Landmark] :
         """
         Generate and prioritize a list of landmarks based on user preferences.
 
@@ -127,13 +126,12 @@ class LandmarkManager:
                 all_landmarks.update(shopping_clusters)
 
 
-        landmarks_constrained = take_most_important(all_landmarks, self.n_important)
-
         # DETAILS HERE
         # self.logger.info(f'All landmarks generated : {len(all_landmarks)} landmarks around {center_coordinates}, and constrained to {len(landmarks_constrained)} most important ones.')
         self.logger.info(f'Found {len(all_landmarks)} landmarks in total.')
 
-        return all_landmarks, landmarks_constrained
+        return sorted(all_landmarks, key=lambda x: x.attractiveness, reverse=True)
+    
 
     def set_landmark_score(self, landmark: Landmark, landmarktype: str, preference_level: int) :
         """
diff --git a/backend/src/landmarks/landmarks_routes.py b/backend/src/landmarks/landmarks_router.py
similarity index 81%
rename from backend/src/landmarks/landmarks_routes.py
rename to backend/src/landmarks/landmarks_router.py
index 3794c95..fd9b296 100644
--- a/backend/src/landmarks/landmarks_routes.py
+++ b/backend/src/landmarks/landmarks_router.py
@@ -6,7 +6,7 @@ from fastapi import HTTPException, APIRouter
 
 from ..structs.landmark import Landmark
 from ..structs.preferences import Preferences, Preference
-from ..landmarks.landmarks_manager import LandmarkManager
+from .landmarks_manager import LandmarkManager
 
 
 # Setup the logger and the Landmarks Manager
@@ -14,7 +14,7 @@ logger = logging.getLogger(__name__)
 manager = LandmarkManager()
 
 
-# Start the router
+# Initialize the API router
 router = APIRouter()
 
 
@@ -48,7 +48,7 @@ def get_landmarks(
     start_time = time.time()
 
     # Generate the landmarks from the start location
-    landmarks, _ = manager.generate_landmarks_list(
+    landmarks = manager.generate_landmarks_list(
         center_coordinates = start,
         preferences = preferences
     )
@@ -62,7 +62,7 @@ def get_landmarks(
     return landmarks
 
 
-@router.post("/landmarks/get-nearby/{lat}/{lon}")
+@router.post("/get-nearby/landmarks/{lat}/{lon}")
 def get_landmarks_nearby(
     lat: float,
     lon: float
@@ -81,6 +81,7 @@ def get_landmarks_nearby(
         list[Landmark]: A list of selected nearby landmarks.
     """
     logger.info(f'Fetching landmarks nearby ({lat}, {lon}).')
+
     # Define fixed preferences:
     prefs = Preferences(
         sightseeing = Preference(
@@ -100,18 +101,23 @@ def get_landmarks_nearby(
     )
 
     # Find the landmarks around the location
-    _, landmarks_around = manager.generate_landmarks_list(
+    landmarks_around = manager.generate_landmarks_list(
         center_coordinates = (lat, lon),
         preferences = prefs,
         allow_clusters=False,
     )
+
     if len(landmarks_around) == 0 :
         raise HTTPException(status_code=500, detail="No landmarks were found.")
 
-    # select 5 landmarks from there
-    if len(landmarks_around) > 6 :
-        landmarks_around = landmarks_around[:2] + random.sample(landmarks_around[3:], 2)
+    # select 8 - 12 landmarks from there
+    if len(landmarks_around) > 8 :
+        n_imp = random.randint(2,5)
+        rest = random.randint(8 - n_imp, min(12, len(landmarks_around))-n_imp)
+
+        print(f'len = {len(landmarks_around)}\nn_imp = {n_imp}\nrest = {rest}')
+        landmarks_around = landmarks_around[:n_imp] + random.sample(landmarks_around[n_imp:], rest)
     
-    logger.info(f'Found {len(landmarks_around)} landmarks nearby ({lat}, {lon}).')
-    logger.debug('Suggested landmarks :\n\t' + '\n\t'.join(f'{landmark}' for landmark in landmarks_around))
+    logger.info(f'Found {len(landmarks_around)} landmarks to suggest nearby ({lat}, {lon}).')
+    # logger.debug('Suggested landmarks :\n\t' + '\n\t'.join(f'{landmark}' for landmark in landmarks_around))
     return landmarks_around
diff --git a/backend/src/main.py b/backend/src/main.py
index 7213fae..4cde3f1 100644
--- a/backend/src/main.py
+++ b/backend/src/main.py
@@ -1,22 +1,18 @@
 """Main app for backend api"""
 import logging
-import time
-import random
 from contextlib import asynccontextmanager
-from fastapi import FastAPI, HTTPException, BackgroundTasks
+from fastapi import FastAPI, HTTPException
 
 from .logging_config import configure_logging
 from .structs.landmark import Landmark
-from .structs.preferences import Preferences, Preference
 from .structs.linked_landmarks import LinkedLandmarks
 from .structs.trip import Trip
 from .landmarks.landmarks_manager import LandmarkManager
-from .toilets.toilets_route import router as toilets_router
-from .optimization.optimization_routes import router as optimization_router
-from .landmarks.landmarks_routes import router as landmarks_router
+from .toilets.toilets_router import router as toilets_router
+from .optimization.optimization_router import router as optimization_router
+from .landmarks.landmarks_router import router as landmarks_router, get_landmarks_nearby
 from .optimization.optimizer import Optimizer
 from .optimization.refiner import Refiner
-from .overpass.overpass import fill_cache
 from .cache import client as cache_client
 
 
@@ -40,118 +36,21 @@ app = FastAPI(lifespan=lifespan)
 
 
 
-app.include_router(toilets_router)
-app.include_router(optimization_router)
+# Fetches the global list of landmarks given preferences and start/end coordinates. Two routes
+# Call with "/get/landmarks/" for main entry point of the trip generation pipeline.
+# Call with "/get-nearby/landmarks/" for the NEARBY feature.
 app.include_router(landmarks_router)
 
 
-@app.post("/trip/new")
-def new_trip(
-    preferences: Preferences,
-    start: tuple[float, float],
-    end: tuple[float, float] | None = None,
-    background_tasks: BackgroundTasks = None
-) -> Trip:
-    """
-    Main function to call the optimizer.
+# Optimizes the trip given preferences. Second step in the main trip generation pipeline
+# Call with "/optimize/trip"
+app.include_router(optimization_router)
 
-    Args:
-        preferences : the preferences specified by the user as the post body
-        start       : the coordinates of the starting point
-        end         : the coordinates of the finishing point
-    Returns: 
-        (uuid) : The uuid of the first landmark in the optimized route
-    """
-    if preferences is None:
-        raise HTTPException(status_code=406, detail="Preferences not provided or incomplete.")
-    if (preferences.shopping.score == 0 and
-        preferences.sightseeing.score == 0 and
-        preferences.nature.score == 0) :
-        raise HTTPException(status_code=406, detail="All preferences are 0.")
-    if start is None:
-        raise HTTPException(status_code=406, detail="Start coordinates not provided")
-    if not (-90 <= start[0] <= 90 or -180 <= start[1] <= 180):
-        raise HTTPException(status_code=422, detail="Start coordinates not in range")
-    if end is None:
-        end = start
-        logger.info("No end coordinates provided. Using start=end.")
 
-    logger.info(f"Requested new trip generation. Details:\n\tCoordinates: {start}\n\tTime: {preferences.max_time_minute}\n\tSightseeing: {preferences.sightseeing.score}\n\tNature: {preferences.nature.score}\n\tShopping: {preferences.shopping.score}")
+# Fetches toilets near given coordinates.
+# Call with "/get/toilets" for fetching toilets around coordinates
+app.include_router(toilets_router)
 
-    start_landmark = Landmark(name='start',
-                              type='start',
-                              location=(start[0], start[1]),
-                              osm_type='start',
-                              osm_id=0,
-                              attractiveness=0,
-                              duration=0,
-                              must_do=True,
-                              n_tags = 0)
-
-    end_landmark = Landmark(name='finish',
-                            type='finish',
-                            location=(end[0], end[1]),
-                            osm_type='end',
-                            osm_id=0,
-                            attractiveness=0,
-                            duration=0,
-                            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,
-        preferences = preferences
-    )
-
-    if len(landmarks) == 0 :
-        raise HTTPException(status_code=500, detail="No landmarks were found.")
-
-    # insert start and finish to the landmarks list
-    landmarks_short.insert(0, start_landmark)
-    landmarks_short.append(end_landmark)
-
-    t_generate_landmarks = time.time() - start_time
-    logger.info(f'Fetched {len(landmarks)} landmarks in  \t: {round(t_generate_landmarks,3)} seconds')
-    start_time = time.time()
-
-    # First stage optimization
-    try:
-        base_tour = optimizer.solve_optimization(preferences.max_time_minute, landmarks_short)
-    except Exception as exc:
-        logger.error(f"Trip generation failed: {str(exc)}")
-        raise HTTPException(status_code=500, detail=f"Optimization failed: {str(exc)}") from exc
-
-    t_first_stage = time.time() - start_time
-    start_time = time.time()
-
-    # Second stage optimization
-    # TODO : only if necessary (not enough landmarks for ex.)
-    try :
-        refined_tour = refiner.refine_optimization(landmarks, base_tour,
-                                               preferences.max_time_minute,
-                                               preferences.detour_tolerance_minute)
-    except Exception as exc :
-        logger.warning(f"Refiner failed. Proceeding with base trip {str(exc)}")
-        refined_tour = base_tour
-
-    t_second_stage = time.time() - start_time
-
-    logger.debug(f'First stage optimization\t: {round(t_first_stage,3)} seconds')
-    logger.debug(f'Second stage optimization\t: {round(t_second_stage,3)} seconds')
-    logger.info(f'Total computation time\t: {round(t_first_stage + t_second_stage,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)
-    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.')
-    logger.info('Detailed trip :\n\t' + '\n\t'.join(f'{landmark}' for landmark in refined_tour))
-
-    background_tasks.add_task(fill_cache)
-
-    return trip
 
 
 #### For already existing trips/landmarks
diff --git a/backend/src/optimization/optimization_routes.py b/backend/src/optimization/optimization_router.py
similarity index 78%
rename from backend/src/optimization/optimization_routes.py
rename to backend/src/optimization/optimization_router.py
index 22d5cd2..5dd1351 100644
--- a/backend/src/optimization/optimization_routes.py
+++ b/backend/src/optimization/optimization_router.py
@@ -1,19 +1,20 @@
-"""Main app for backend api"""
+"""API entry point for the trip optimization."""
+
 import logging
 import time
 import yaml
 from fastapi import HTTPException, APIRouter, BackgroundTasks
 
+from .optimizer import Optimizer
+from .refiner import Refiner
 from ..structs.landmark import Landmark
 from ..structs.preferences import Preferences
 from ..structs.linked_landmarks import LinkedLandmarks
 from ..utils.take_most_important import take_most_important
 from ..structs.trip import Trip
-from ..optimization.optimizer import Optimizer
-from ..optimization.refiner import Refiner
 from ..overpass.overpass import fill_cache
 from ..cache import client as cache_client
-from ..constants import LANDMARK_PARAMETERS_PATH
+from ..constants import OPTIMIZER_PARAMETERS_PATH
 
 
 # Setup the Logger, Optimizer and Refiner
@@ -22,18 +23,18 @@ optimizer = Optimizer()
 refiner = Refiner(optimizer=optimizer)
 
 
-# Start the router
+# Initialize the API router
 router = APIRouter()
 
 
 @router.post("/optimize/trip")
 def optimize_trip(
-    preferences: Preferences,
-    landmarks: list[Landmark],
-    start: tuple[float, float],
-    end: tuple[float, float] | None = None,
-    background_tasks: BackgroundTasks = None
-) -> Trip:
+        preferences: Preferences,
+        landmarks: list[Landmark],
+        start: tuple[float, float],
+        end: tuple[float, float] | None = None,
+        background_tasks: BackgroundTasks = None
+    ) -> Trip:
     """
     Main function to call the optimizer.
 
@@ -66,28 +67,32 @@ def optimize_trip(
 
     logger.info(f"Requested new trip generation. Details:\n\tCoordinates: {start}\n\tTime: {preferences.max_time_minute}\n\tSightseeing: {preferences.sightseeing.score}\n\tNature: {preferences.nature.score}\n\tShopping: {preferences.shopping.score}")
 
-    start_landmark = Landmark(name='start',
-                              type='start',
-                              location=(start[0], start[1]),
-                              osm_type='start',
-                              osm_id=0,
-                              attractiveness=0,
-                              duration=0,
-                              must_do=True,
-                              n_tags = 0)
+    start_landmark = Landmark(
+        name='start',
+        type='start',
+        location=(start[0], start[1]),
+        osm_type='start',
+        osm_id=0,
+        attractiveness=0,
+        duration=0,
+        must_do=True,
+        n_tags = 0
+    )
 
-    end_landmark = Landmark(name='finish',
-                            type='finish',
-                            location=(end[0], end[1]),
-                            osm_type='end',
-                            osm_id=0,
-                            attractiveness=0,
-                            duration=0,
-                            must_do=True,
-                            n_tags=0)
+    end_landmark = Landmark(
+        name='finish',
+        type='finish',
+        location=(end[0], end[1]),
+        osm_type='end',
+        osm_id=0,
+        attractiveness=0,
+        duration=0,
+        must_do=True,
+        n_tags=0
+    )
     
     # From the parameters load the length at which to truncate the landmarks list.
-    with LANDMARK_PARAMETERS_PATH.open('r') as f:
+    with OPTIMIZER_PARAMETERS_PATH.open('r') as f:
             parameters = yaml.safe_load(f)
             n_important = parameters['N_important']
 
diff --git a/backend/src/parameters/landmark_parameters.yaml b/backend/src/parameters/landmark_parameters.yaml
index bd1dfe3..2532514 100644
--- a/backend/src/parameters/landmark_parameters.yaml
+++ b/backend/src/parameters/landmark_parameters.yaml
@@ -7,5 +7,4 @@ tag_exponent: 1.15
 image_bonus: 1.1
 viewpoint_bonus: 10
 wikipedia_bonus: 1.25
-N_important: 60
 pay_bonus: -1
diff --git a/backend/src/parameters/optimizer_parameters.yaml b/backend/src/parameters/optimizer_parameters.yaml
index 8531954..7cfa28c 100644
--- a/backend/src/parameters/optimizer_parameters.yaml
+++ b/backend/src/parameters/optimizer_parameters.yaml
@@ -6,4 +6,5 @@ max_landmarks_refiner: 20
 overshoot: 0.0016
 time_limit: 1
 gap_rel: 0.025
-max_iter: 80
\ No newline at end of file
+max_iter: 80
+N_important: 60
diff --git a/backend/src/structs/preferences.py b/backend/src/structs/preferences.py
index 64b8837..a7d963c 100644
--- a/backend/src/structs/preferences.py
+++ b/backend/src/structs/preferences.py
@@ -1,7 +1,7 @@
 """Defines the Preferences used as input for trip generation."""
 
 from typing import Optional, Literal
-from pydantic import BaseModel
+from pydantic import BaseModel, field_validator
 
 
 class Preference(BaseModel) :
@@ -15,6 +15,13 @@ class Preference(BaseModel) :
     type: Literal['sightseeing', 'nature', 'shopping', 'start', 'finish']
     score: int          # score could be from 1 to 5
 
+    @field_validator("type")
+    @classmethod
+    def validate_type(cls, v):
+        if v not in {'sightseeing', 'nature', 'shopping', 'start', 'finish'}:
+            raise ValueError(f"Invalid type: {v}")
+        return v
+
 
 # Input for optimization
 class Preferences(BaseModel) :
diff --git a/backend/src/tests/test_invalid_input.py b/backend/src/tests/test_invalid_input.py
index 897555e..dbf3357 100644
--- a/backend/src/tests/test_invalid_input.py
+++ b/backend/src/tests/test_invalid_input.py
@@ -19,15 +19,35 @@ def invalid_client():
         ([48.8566, 2.3522], {}, 422),
 
         # Invalid cases: incomplete preferences.
-        ([48.084588, 7.280405], {"sightseeing": {"type": "sightseeing", "score": 5}, # no shopping
+        ([48.084588, 7.280405], {"sightseeing": {"type": "sightseeing", "score": 5},    # no shopping pref
                                  "nature": {"type": "nature", "score": 5},
                                  }, 422),
-        ([48.084588, 7.280405], {"sightseeing": {"type": "sightseeing", "score": 5}, # no nature
+        ([48.084588, 7.280405], {"sightseeing": {"type": "sightseeing", "score": 5},    # no nature pref
                                  "shopping": {"type": "shopping", "score": 5},
                                  }, 422),
-        ([48.084588, 7.280405], {"nature": {"type": "nature", "score": 5},      # no sightseeing
+        ([48.084588, 7.280405], {"nature": {"type": "nature", "score": 5},              # no sightseeing pref
                                  "shopping": {"type": "shopping", "score": 5},
                                  }, 422),
+        ([48.084588, 7.280405], {"sightseeing": {"type": "nature", "score": 1},         # mixed up preferences types. TODO: i suggest reducing the complexity by remove the Preference object.
+                                 "nature": {"type": "shopping", "score": 1},
+                                 "shopping": {"type": "shopping", "score": 1},
+                                 }, 422),
+        ([48.084588, 7.280405], {"doesnotexist": {"type": "sightseeing", "score": 2},   # non-existing preferences types
+                                 "nature": {"type": "nature", "score": 2},
+                                 "shopping": {"type": "shopping", "score": 2},
+                                 }, 422),
+        ([48.084588, 7.280405], {"sightseeing": {"type": "sightseeing", "score": 3},    # non-existing preferences types
+                                 "nature": {"type": "doesntexisteither", "score": 3},
+                                 "shopping": {"type": "shopping", "score": 3},
+                                 }, 422),
+        ([48.084588, 7.280405], {"sightseeing": {"type": "sightseeing", "score": -1},   # negative preference value
+                                 "nature": {"type": "doesntexisteither", "score": 4},
+                                 "shopping": {"type": "shopping", "score": 4},
+                                 }, 422),
+        ([48.084588, 7.280405], {"sightseeing": {"type": "sightseeing", "score": 10},   # too high preference value
+                                 "nature": {"type": "doesntexisteither", "score": 4},
+                                 "shopping": {"type": "shopping", "score": 4},
+                                 }, 422),
 
         # Invalid cases: unexisting coords
         ([91, 181], {"sightseeing": {"type": "sightseeing", "score": 5},
@@ -53,8 +73,8 @@ def test_input(invalid_client, start, preferences, status_code):   # pylint: dis
     Test new trip creation with different sets of preferences and locations.
     """
     response = invalid_client.post(
-        "/trip/new",
-        json={
+        "/get/landmarks",
+        json ={
             "preferences": preferences,
             "start": start
         }
diff --git a/backend/src/tests/test_nearby.py b/backend/src/tests/test_nearby.py
index 7558583..704c464 100644
--- a/backend/src/tests/test_nearby.py
+++ b/backend/src/tests/test_nearby.py
@@ -1,22 +1,32 @@
 """Collection of tests to ensure correct implementation and track progress of the get_landmarks_nearby feature. """
+
 from fastapi.testclient import TestClient
 import pytest
 
 from ..main import app
 
+
 @pytest.fixture(scope="module")
 def client():
     """Client used to call the app."""
     return TestClient(app)
 
 
-
-
 @pytest.mark.parametrize(
     "location,status_code",
     [
-        ([45.7576485, 4.8330241], 2000),     # Lyon, Bellecour.
-        ([41.4020572, 2.1818985], 2000),       # Barcelona
+        ([45.7576485, 4.8330241], 200),    # Lyon, France
+        ([41.4020572, 2.1818985], 200),    # Barcelona, Spain
+        ([59.3293, 18.0686], 200),         # Stockholm, Sweden
+        ([43.6532, -79.3832], 200),        # Toronto, Canada
+        ([38.7223, -9.1393], 200),         # Lisbon, Portugal
+        ([6.5244, 3.3792], 200),           # Lagos, Nigeria
+        ([17.3850, 78.4867], 200),         # Hyderabad, India
+        ([30.0444, 31.2357], 200),         # Cairo, Egypt
+        ([50.8503, 4.3517], 200),          # Brussels, Belgium
+        ([35.2271, -80.8431], 200),        # Charlotte, USA
+        ([10.4806, -66.9036], 200),        # Caracas, Venezuela
+        ([9.51074, -13.71118], 200),       # Conakry, Guinea
     ]
 )
 def test_nearby(client, location, status_code):    # pylint: disable=redefined-outer-name
@@ -27,9 +37,7 @@ def test_nearby(client, location, status_code):    # pylint: disable=redefined-o
         client:
         request:
     """
-    response = client.post(f"/landmarks/get-nearby/{location[0]}/{location[1]}")
-    print(response)
-    print(response.json())
+    response = client.post(f"/get-nearby/landmarks/{location[0]}/{location[1]}")
     suggestions = response.json()
 
     # checks :
diff --git a/backend/src/tests/test_toilets.py b/backend/src/tests/test_toilets.py
index 75cad39..bc5244a 100644
--- a/backend/src/tests/test_toilets.py
+++ b/backend/src/tests/test_toilets.py
@@ -18,7 +18,7 @@ def client():
     [
         ({}, None, 422),                # Invalid case: no location at all.
         ([443], None, 422),             # Invalid cases: invalid location.
-        ([443, 433], None, 422),             # Invalid cases: invalid location.
+        ([443, 433], None, 422),        # Invalid cases: invalid location.
     ]
 )
 def test_invalid_input(client, location, radius, status_code):    # pylint: disable=redefined-outer-name
@@ -30,12 +30,13 @@ def test_invalid_input(client, location, radius, status_code):    # pylint: disa
         request:
     """
     response = client.post(
-        "/toilets/new",
+        "/get/toilets",
         params={
             "location": location,
             "radius": radius
         }
     )
+    print(response.json())
 
     # checks :
     assert response.status_code == status_code
@@ -58,11 +59,12 @@ def test_no_toilets(client, location, status_code):    # pylint: disable=redefin
         request:
     """
     response = client.post(
-        "/toilets/new",
+        "/get/toilets",
         params={
             "location": location
         }
     )
+    print(response.json())
     toilets_list = [Toilets.model_validate(toilet) for toilet in response.json()]
 
     # checks :
@@ -87,12 +89,14 @@ def test_toilets(client, location, status_code):    # pylint: disable=redefined-
         request:
     """
     response = client.post(
-        "/toilets/new",
+        "/get/toilets",
         params={
             "location": location,
             "radius" : 600
         }
     )
+
+    print(response.json())
     toilets_list = [Toilets.model_validate(toilet) for toilet in response.json()]
 
     # checks :
diff --git a/backend/src/tests/test_trip_generation.py b/backend/src/tests/test_trip_generation.py
index 700effa..e270373 100644
--- a/backend/src/tests/test_trip_generation.py
+++ b/backend/src/tests/test_trip_generation.py
@@ -23,9 +23,9 @@ def client():
         # Realistic
         (5, 0, 0, 20, [48.0845881, 7.2804050], None),                   # Turckheim
         (5, 5, 5, 120, [45.7576485, 4.8330241], None),                  # Lyon, Bellecour
-        (5, 5, 5, 240, [50.9423526, 6.9577780], None),                  # Cologne, centre
-        (5, 5, 5, 180, [48.5846589226, 7.74078715721], None),           # Strasbourg, centre
-        (5, 5, 5, 180, [47.377884227, 8.5395114066], None),             # Zurich, centre
+        (5, 2, 5, 240, [50.9423526, 6.9577780], None),                  # Cologne, centre
+        (3, 5, 0, 180, [48.5846589226, 7.74078715721], None),           # Strasbourg, centre
+        (2, 4, 5, 180, [47.377884227, 8.5395114066], None),             # Zurich, centre
         (5, 0, 5, 200, [48.85468881798671, 2.3423925755998374], None),  # Paris, centre
         (5, 5, 5, 600, [40.72592726802, -73.9920434795], None),         # New York, Lower Manhattan
     ]
diff --git a/backend/src/toilets/toilets_route.py b/backend/src/toilets/toilets_router.py
similarity index 83%
rename from backend/src/toilets/toilets_route.py
rename to backend/src/toilets/toilets_router.py
index e80a023..c181c20 100644
--- a/backend/src/toilets/toilets_route.py
+++ b/backend/src/toilets/toilets_router.py
@@ -1,16 +1,20 @@
-"""Defines the endpoint for fetching toilet locations."""
+"""API entry point for fetching toilet locations."""
+
 from fastapi import HTTPException, APIRouter, Query
 
-from ..structs.toilets import Toilets
 from .toilets_manager import ToiletsManager
+from ..structs.toilets import Toilets
 
 
-# Define the API router
+# Initialize the API router
 router = APIRouter()
 
 
-@router.post("/toilets/new")
-def get_toilets(location: tuple[float, float] = Query(...), radius: int = 500) -> list[Toilets] :
+@router.post("/get/toilets")
+def get_toilets(
+        location: tuple[float, float] = Query(...),
+        radius: int = 500
+    ) -> list[Toilets] :
     """
     Endpoint to find toilets within a specified radius from a given location.
 
diff --git a/backend/src/utils/take_most_important.py b/backend/src/utils/take_most_important.py
deleted file mode 100644
index b749dd7..0000000
--- a/backend/src/utils/take_most_important.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""Helper function to return only the major landmarks from a large list."""
-from ..structs.landmark import Landmark
-
-def take_most_important(
-    landmarks: list[Landmark],
-    n_important: int
-) -> list[Landmark]:
-    """
-    Given a list of landmarks, return the most important landmarks based on their attractiveness.
-    
-    Args:
-        landmarks (list[Landmark]): List of landmarks that needs to be truncated
-        n_important (int): Number of most important landmarks to return
-    
-    Returns:
-        list[Landmark]: List of the n_important most important landmarks
-    """
-    if n_important == 0 :
-        raise ValueError('Number of landmarks to keep cannot be zero.')
-
-    # Sort landmarks by attractiveness (descending)
-    sorted_landmarks = sorted(landmarks, key=lambda x: x.attractiveness, reverse=True)
-
-    return sorted_landmarks[:n_important]
diff --git a/report.html b/report.html
new file mode 100644
index 0000000..61af303
--- /dev/null
+++ b/report.html
@@ -0,0 +1,1091 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="utf-8"/>
+    <title id="head-title">report.html</title>
+      <style type="text/css">body {
+  font-family: Helvetica, Arial, sans-serif;
+  font-size: 12px;
+  /* do not increase min-width as some may use split screens */
+  min-width: 800px;
+  color: #999;
+}
+
+h1 {
+  font-size: 24px;
+  color: black;
+}
+
+h2 {
+  font-size: 16px;
+  color: black;
+}
+
+p {
+  color: black;
+}
+
+a {
+  color: #999;
+}
+
+table {
+  border-collapse: collapse;
+}
+
+/******************************
+ * SUMMARY INFORMATION
+ ******************************/
+#environment td {
+  padding: 5px;
+  border: 1px solid #e6e6e6;
+  vertical-align: top;
+}
+#environment tr:nth-child(odd) {
+  background-color: #f6f6f6;
+}
+#environment ul {
+  margin: 0;
+  padding: 0 20px;
+}
+
+/******************************
+ * TEST RESULT COLORS
+ ******************************/
+span.passed,
+.passed .col-result {
+  color: green;
+}
+
+span.skipped,
+span.xfailed,
+span.rerun,
+.skipped .col-result,
+.xfailed .col-result,
+.rerun .col-result {
+  color: orange;
+}
+
+span.error,
+span.failed,
+span.xpassed,
+.error .col-result,
+.failed .col-result,
+.xpassed .col-result {
+  color: red;
+}
+
+.col-links__extra {
+  margin-right: 3px;
+}
+
+/******************************
+ * RESULTS TABLE
+ *
+ * 1. Table Layout
+ * 2. Extra
+ * 3. Sorting items
+ *
+ ******************************/
+/*------------------
+ * 1. Table Layout
+ *------------------*/
+#results-table {
+  border: 1px solid #e6e6e6;
+  color: #999;
+  font-size: 12px;
+  width: 100%;
+}
+#results-table th,
+#results-table td {
+  padding: 5px;
+  border: 1px solid #e6e6e6;
+  text-align: left;
+}
+#results-table th {
+  font-weight: bold;
+}
+
+/*------------------
+ * 2. Extra
+ *------------------*/
+.logwrapper {
+  max-height: 230px;
+  overflow-y: scroll;
+  background-color: #e6e6e6;
+}
+.logwrapper.expanded {
+  max-height: none;
+}
+.logwrapper.expanded .logexpander:after {
+  content: "collapse [-]";
+}
+.logwrapper .logexpander {
+  z-index: 1;
+  position: sticky;
+  top: 10px;
+  width: max-content;
+  border: 1px solid;
+  border-radius: 3px;
+  padding: 5px 7px;
+  margin: 10px 0 10px calc(100% - 80px);
+  cursor: pointer;
+  background-color: #e6e6e6;
+}
+.logwrapper .logexpander:after {
+  content: "expand [+]";
+}
+.logwrapper .logexpander:hover {
+  color: #000;
+  border-color: #000;
+}
+.logwrapper .log {
+  min-height: 40px;
+  position: relative;
+  top: -50px;
+  height: calc(100% + 50px);
+  border: 1px solid #e6e6e6;
+  color: black;
+  display: block;
+  font-family: "Courier New", Courier, monospace;
+  padding: 5px;
+  padding-right: 80px;
+  white-space: pre-wrap;
+}
+
+div.media {
+  border: 1px solid #e6e6e6;
+  float: right;
+  height: 240px;
+  margin: 0 5px;
+  overflow: hidden;
+  width: 320px;
+}
+
+.media-container {
+  display: grid;
+  grid-template-columns: 25px auto 25px;
+  align-items: center;
+  flex: 1 1;
+  overflow: hidden;
+  height: 200px;
+}
+
+.media-container--fullscreen {
+  grid-template-columns: 0px auto 0px;
+}
+
+.media-container__nav--right,
+.media-container__nav--left {
+  text-align: center;
+  cursor: pointer;
+}
+
+.media-container__viewport {
+  cursor: pointer;
+  text-align: center;
+  height: inherit;
+}
+.media-container__viewport img,
+.media-container__viewport video {
+  object-fit: cover;
+  width: 100%;
+  max-height: 100%;
+}
+
+.media__name,
+.media__counter {
+  display: flex;
+  flex-direction: row;
+  justify-content: space-around;
+  flex: 0 0 25px;
+  align-items: center;
+}
+
+.collapsible td:not(.col-links) {
+  cursor: pointer;
+}
+.collapsible td:not(.col-links):hover::after {
+  color: #bbb;
+  font-style: italic;
+  cursor: pointer;
+}
+
+.col-result {
+  width: 130px;
+}
+.col-result:hover::after {
+  content: " (hide details)";
+}
+
+.col-result.collapsed:hover::after {
+  content: " (show details)";
+}
+
+#environment-header h2:hover::after {
+  content: " (hide details)";
+  color: #bbb;
+  font-style: italic;
+  cursor: pointer;
+  font-size: 12px;
+}
+
+#environment-header.collapsed h2:hover::after {
+  content: " (show details)";
+  color: #bbb;
+  font-style: italic;
+  cursor: pointer;
+  font-size: 12px;
+}
+
+/*------------------
+ * 3. Sorting items
+ *------------------*/
+.sortable {
+  cursor: pointer;
+}
+.sortable.desc:after {
+  content: " ";
+  position: relative;
+  left: 5px;
+  bottom: -12.5px;
+  border: 10px solid #4caf50;
+  border-bottom: 0;
+  border-left-color: transparent;
+  border-right-color: transparent;
+}
+.sortable.asc:after {
+  content: " ";
+  position: relative;
+  left: 5px;
+  bottom: 12.5px;
+  border: 10px solid #4caf50;
+  border-top: 0;
+  border-left-color: transparent;
+  border-right-color: transparent;
+}
+
+.hidden, .summary__reload__button.hidden {
+  display: none;
+}
+
+.summary__data {
+  flex: 0 0 550px;
+}
+.summary__reload {
+  flex: 1 1;
+  display: flex;
+  justify-content: center;
+}
+.summary__reload__button {
+  flex: 0 0 300px;
+  display: flex;
+  color: white;
+  font-weight: bold;
+  background-color: #4caf50;
+  text-align: center;
+  justify-content: center;
+  align-items: center;
+  border-radius: 3px;
+  cursor: pointer;
+}
+.summary__reload__button:hover {
+  background-color: #46a049;
+}
+.summary__spacer {
+  flex: 0 0 550px;
+}
+
+.controls {
+  display: flex;
+  justify-content: space-between;
+}
+
+.filters,
+.collapse {
+  display: flex;
+  align-items: center;
+}
+.filters button,
+.collapse button {
+  color: #999;
+  border: none;
+  background: none;
+  cursor: pointer;
+  text-decoration: underline;
+}
+.filters button:hover,
+.collapse button:hover {
+  color: #ccc;
+}
+
+.filter__label {
+  margin-right: 10px;
+}
+
+      </style>
+    
+  </head>
+  <body>
+    <h1 id="title">report.html</h1>
+    <p>Report generated on 13-Jul-2025 at 17:24:02 by <a href="https://pypi.python.org/pypi/pytest-html">pytest-html</a>
+        v4.1.1</p>
+    <div id="environment-header">
+      <h2>Environment</h2>
+    </div>
+    <table id="environment"></table>
+    <!-- TEMPLATES -->
+      <template id="template_environment_row">
+      <tr>
+        <td></td>
+        <td></td>
+      </tr>
+    </template>
+    <template id="template_results-table__body--empty">
+      <tbody class="results-table-row">
+        <tr id="not-found-message">
+          <td colspan="4">No results found. Check the filters.</th>
+        </tr>
+    </template>
+    <template id="template_results-table__tbody">
+      <tbody class="results-table-row">
+        <tr class="collapsible">
+        </tr>
+        <tr class="extras-row">
+          <td class="extra" colspan="4">
+            <div class="extraHTML"></div>
+            <div class="media">
+              <div class="media-container">
+                  <div class="media-container__nav--left"><</div>
+                  <div class="media-container__viewport">
+                    <img src="" />
+                    <video controls>
+                      <source src="" type="video/mp4">
+                    </video>
+                  </div>
+                  <div class="media-container__nav--right">></div>
+                </div>
+                <div class="media__name"></div>
+                <div class="media__counter"></div>
+            </div>
+            <div class="logwrapper">
+              <div class="logexpander"></div>
+              <div class="log"></div>
+            </div>
+          </td>
+        </tr>
+      </tbody>
+    </template>
+    <!-- END TEMPLATES -->
+    <div class="summary">
+      <div class="summary__data">
+        <h2>Summary</h2>
+        <div class="additional-summary prefix">
+        </div>
+        <p class="run-count">0 test took 0 ms.</p>
+        <p class="filter">(Un)check the boxes to filter the results.</p>
+        <div class="summary__reload">
+          <div class="summary__reload__button hidden" onclick="location.reload()">
+            <div>There are still tests running. <br />Reload this page to get the latest results!</div>
+          </div>
+        </div>
+        <div class="summary__spacer"></div>
+        <div class="controls">
+          <div class="filters">
+            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="failed" disabled/>
+            <span class="failed">0 Failed,</span>
+            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="passed" disabled/>
+            <span class="passed">0 Passed,</span>
+            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="skipped" disabled/>
+            <span class="skipped">0 Skipped,</span>
+            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="xfailed" disabled/>
+            <span class="xfailed">0 Expected failures,</span>
+            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="xpassed" disabled/>
+            <span class="xpassed">0 Unexpected passes,</span>
+            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="error" disabled/>
+            <span class="error">0 Errors,</span>
+            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="rerun" disabled/>
+            <span class="rerun">0 Reruns</span>
+          </div>
+          <div class="collapse">
+            <button id="show_all_details">Show all details</button>&nbsp;/&nbsp;<button id="hide_all_details">Hide all details</button>
+          </div>
+        </div>
+      </div>
+      <div class="additional-summary summary">
+      </div>
+      <div class="additional-summary postfix">
+      </div>
+    </div>
+    <table id="results-table">
+      <thead id="results-table-head">
+        <tr>
+          <th class="sortable" data-column-type="result">Result</th>
+          <th class="sortable" data-column-type="testId">Test</th>
+          <th class="sortable" data-column-type="duration">Duration</th>
+          <th>Links</th>
+        </tr>
+      </thead>
+    </table>
+  </body>
+  <footer>
+    <div id="data-container" data-jsonblob="{&#34;environment&#34;: {&#34;Python&#34;: &#34;3.12.3&#34;, &#34;Platform&#34;: &#34;Linux-6.8.0-63-generic-x86_64-with-glibc2.39&#34;, &#34;Packages&#34;: {&#34;pytest&#34;: &#34;8.3.4&#34;, &#34;pluggy&#34;: &#34;1.5.0&#34;}, &#34;Plugins&#34;: {&#34;html&#34;: &#34;4.1.1&#34;, &#34;anyio&#34;: &#34;4.8.0&#34;, &#34;metadata&#34;: &#34;3.1.1&#34;}}, &#34;tests&#34;: {}, &#34;renderCollapsed&#34;: [&#34;passed&#34;], &#34;initialSort&#34;: &#34;result&#34;, &#34;title&#34;: &#34;report.html&#34;}"></div>
+    <script>
+      (function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==typeof require&&require;if(!f&&c)return c(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u="function"==typeof require&&require,i=0;i<t.length;i++)o(t[i]);return o}return r})()({1:[function(require,module,exports){
+const { getCollapsedCategory, setCollapsedIds } = require('./storage.js')
+
+class DataManager {
+    setManager(data) {
+        const collapsedCategories = [...getCollapsedCategory(data.renderCollapsed)]
+        const collapsedIds = []
+        const tests = Object.values(data.tests).flat().map((test, index) => {
+            const collapsed = collapsedCategories.includes(test.result.toLowerCase())
+            const id = `test_${index}`
+            if (collapsed) {
+                collapsedIds.push(id)
+            }
+            return {
+                ...test,
+                id,
+                collapsed,
+            }
+        })
+        const dataBlob = { ...data, tests }
+        this.data = { ...dataBlob }
+        this.renderData = { ...dataBlob }
+        setCollapsedIds(collapsedIds)
+    }
+
+    get allData() {
+        return { ...this.data }
+    }
+
+    resetRender() {
+        this.renderData = { ...this.data }
+    }
+
+    setRender(data) {
+        this.renderData.tests = [...data]
+    }
+
+    toggleCollapsedItem(id) {
+        this.renderData.tests = this.renderData.tests.map((test) =>
+            test.id === id ? { ...test, collapsed: !test.collapsed } : test,
+        )
+    }
+
+    set allCollapsed(collapsed) {
+        this.renderData = { ...this.renderData, tests: [...this.renderData.tests.map((test) => (
+            { ...test, collapsed }
+        ))] }
+    }
+
+    get testSubset() {
+        return [...this.renderData.tests]
+    }
+
+    get environment() {
+        return this.renderData.environment
+    }
+
+    get initialSort() {
+        return this.data.initialSort
+    }
+}
+
+module.exports = {
+    manager: new DataManager(),
+}
+
+},{"./storage.js":8}],2:[function(require,module,exports){
+const mediaViewer = require('./mediaviewer.js')
+const templateEnvRow = document.getElementById('template_environment_row')
+const templateResult = document.getElementById('template_results-table__tbody')
+
+function htmlToElements(html) {
+    const temp = document.createElement('template')
+    temp.innerHTML = html
+    return temp.content.childNodes
+}
+
+const find = (selector, elem) => {
+    if (!elem) {
+        elem = document
+    }
+    return elem.querySelector(selector)
+}
+
+const findAll = (selector, elem) => {
+    if (!elem) {
+        elem = document
+    }
+    return [...elem.querySelectorAll(selector)]
+}
+
+const dom = {
+    getStaticRow: (key, value) => {
+        const envRow = templateEnvRow.content.cloneNode(true)
+        const isObj = typeof value === 'object' && value !== null
+        const values = isObj ? Object.keys(value).map((k) => `${k}: ${value[k]}`) : null
+
+        const valuesElement = htmlToElements(
+            values ? `<ul>${values.map((val) => `<li>${val}</li>`).join('')}<ul>` : `<div>${value}</div>`)[0]
+        const td = findAll('td', envRow)
+        td[0].textContent = key
+        td[1].appendChild(valuesElement)
+
+        return envRow
+    },
+    getResultTBody: ({ testId, id, log, extras, resultsTableRow, tableHtml, result, collapsed }) => {
+        const resultBody = templateResult.content.cloneNode(true)
+        resultBody.querySelector('tbody').classList.add(result.toLowerCase())
+        resultBody.querySelector('tbody').id = testId
+        resultBody.querySelector('.collapsible').dataset.id = id
+
+        resultsTableRow.forEach((html) => {
+            const t = document.createElement('template')
+            t.innerHTML = html
+            resultBody.querySelector('.collapsible').appendChild(t.content)
+        })
+
+        if (log) {
+            // Wrap lines starting with "E" with span.error to color those lines red
+            const wrappedLog = log.replace(/^E.*$/gm, (match) => `<span class="error">${match}</span>`)
+            resultBody.querySelector('.log').innerHTML = wrappedLog
+        } else {
+            resultBody.querySelector('.log').remove()
+        }
+
+        if (collapsed) {
+            resultBody.querySelector('.collapsible > td')?.classList.add('collapsed')
+            resultBody.querySelector('.extras-row').classList.add('hidden')
+        } else {
+            resultBody.querySelector('.collapsible > td')?.classList.remove('collapsed')
+        }
+
+        const media = []
+        extras?.forEach(({ name, format_type, content }) => {
+            if (['image', 'video'].includes(format_type)) {
+                media.push({ path: content, name, format_type })
+            }
+
+            if (format_type === 'html') {
+                resultBody.querySelector('.extraHTML').insertAdjacentHTML('beforeend', `<div>${content}</div>`)
+            }
+        })
+        mediaViewer.setup(resultBody, media)
+
+        // Add custom html from the pytest_html_results_table_html hook
+        tableHtml?.forEach((item) => {
+            resultBody.querySelector('td[class="extra"]').insertAdjacentHTML('beforeend', item)
+        })
+
+        return resultBody
+    },
+}
+
+module.exports = {
+    dom,
+    htmlToElements,
+    find,
+    findAll,
+}
+
+},{"./mediaviewer.js":6}],3:[function(require,module,exports){
+const { manager } = require('./datamanager.js')
+const { doSort } = require('./sort.js')
+const storageModule = require('./storage.js')
+
+const getFilteredSubSet = (filter) =>
+    manager.allData.tests.filter(({ result }) => filter.includes(result.toLowerCase()))
+
+const doInitFilter = () => {
+    const currentFilter = storageModule.getVisible()
+    const filteredSubset = getFilteredSubSet(currentFilter)
+    manager.setRender(filteredSubset)
+}
+
+const doFilter = (type, show) => {
+    if (show) {
+        storageModule.showCategory(type)
+    } else {
+        storageModule.hideCategory(type)
+    }
+
+    const currentFilter = storageModule.getVisible()
+    const filteredSubset = getFilteredSubSet(currentFilter)
+    manager.setRender(filteredSubset)
+
+    const sortColumn = storageModule.getSort()
+    doSort(sortColumn, true)
+}
+
+module.exports = {
+    doFilter,
+    doInitFilter,
+}
+
+},{"./datamanager.js":1,"./sort.js":7,"./storage.js":8}],4:[function(require,module,exports){
+const { redraw, bindEvents, renderStatic } = require('./main.js')
+const { doInitFilter } = require('./filter.js')
+const { doInitSort } = require('./sort.js')
+const { manager } = require('./datamanager.js')
+const data = JSON.parse(document.getElementById('data-container').dataset.jsonblob)
+
+function init() {
+    manager.setManager(data)
+    doInitFilter()
+    doInitSort()
+    renderStatic()
+    redraw()
+    bindEvents()
+}
+
+init()
+
+},{"./datamanager.js":1,"./filter.js":3,"./main.js":5,"./sort.js":7}],5:[function(require,module,exports){
+const { dom, find, findAll } = require('./dom.js')
+const { manager } = require('./datamanager.js')
+const { doSort } = require('./sort.js')
+const { doFilter } = require('./filter.js')
+const {
+    getVisible,
+    getCollapsedIds,
+    setCollapsedIds,
+    getSort,
+    getSortDirection,
+    possibleFilters,
+} = require('./storage.js')
+
+const removeChildren = (node) => {
+    while (node.firstChild) {
+        node.removeChild(node.firstChild)
+    }
+}
+
+const renderStatic = () => {
+    const renderEnvironmentTable = () => {
+        const environment = manager.environment
+        const rows = Object.keys(environment).map((key) => dom.getStaticRow(key, environment[key]))
+        const table = document.getElementById('environment')
+        removeChildren(table)
+        rows.forEach((row) => table.appendChild(row))
+    }
+    renderEnvironmentTable()
+}
+
+const addItemToggleListener = (elem) => {
+    elem.addEventListener('click', ({ target }) => {
+        const id = target.parentElement.dataset.id
+        manager.toggleCollapsedItem(id)
+
+        const collapsedIds = getCollapsedIds()
+        if (collapsedIds.includes(id)) {
+            const updated = collapsedIds.filter((item) => item !== id)
+            setCollapsedIds(updated)
+        } else {
+            collapsedIds.push(id)
+            setCollapsedIds(collapsedIds)
+        }
+        redraw()
+    })
+}
+
+const renderContent = (tests) => {
+    const sortAttr = getSort(manager.initialSort)
+    const sortAsc = JSON.parse(getSortDirection())
+    const rows = tests.map(dom.getResultTBody)
+    const table = document.getElementById('results-table')
+    const tableHeader = document.getElementById('results-table-head')
+
+    const newTable = document.createElement('table')
+    newTable.id = 'results-table'
+
+    // remove all sorting classes and set the relevant
+    findAll('.sortable', tableHeader).forEach((elem) => elem.classList.remove('asc', 'desc'))
+    tableHeader.querySelector(`.sortable[data-column-type="${sortAttr}"]`)?.classList.add(sortAsc ? 'desc' : 'asc')
+    newTable.appendChild(tableHeader)
+
+    if (!rows.length) {
+        const emptyTable = document.getElementById('template_results-table__body--empty').content.cloneNode(true)
+        newTable.appendChild(emptyTable)
+    } else {
+        rows.forEach((row) => {
+            if (!!row) {
+                findAll('.collapsible td:not(.col-links', row).forEach(addItemToggleListener)
+                find('.logexpander', row).addEventListener('click',
+                    (evt) => evt.target.parentNode.classList.toggle('expanded'),
+                )
+                newTable.appendChild(row)
+            }
+        })
+    }
+
+    table.replaceWith(newTable)
+}
+
+const renderDerived = () => {
+    const currentFilter = getVisible()
+    possibleFilters.forEach((result) => {
+        const input = document.querySelector(`input[data-test-result="${result}"]`)
+        input.checked = currentFilter.includes(result)
+    })
+}
+
+const bindEvents = () => {
+    const filterColumn = (evt) => {
+        const { target: element } = evt
+        const { testResult } = element.dataset
+
+        doFilter(testResult, element.checked)
+        const collapsedIds = getCollapsedIds()
+        const updated = manager.renderData.tests.map((test) => {
+            return {
+                ...test,
+                collapsed: collapsedIds.includes(test.id),
+            }
+        })
+        manager.setRender(updated)
+        redraw()
+    }
+
+    const header = document.getElementById('environment-header')
+    header.addEventListener('click', () => {
+        const table = document.getElementById('environment')
+        table.classList.toggle('hidden')
+        header.classList.toggle('collapsed')
+    })
+
+    findAll('input[name="filter_checkbox"]').forEach((elem) => {
+        elem.addEventListener('click', filterColumn)
+    })
+
+    findAll('.sortable').forEach((elem) => {
+        elem.addEventListener('click', (evt) => {
+            const { target: element } = evt
+            const { columnType } = element.dataset
+            doSort(columnType)
+            redraw()
+        })
+    })
+
+    document.getElementById('show_all_details').addEventListener('click', () => {
+        manager.allCollapsed = false
+        setCollapsedIds([])
+        redraw()
+    })
+    document.getElementById('hide_all_details').addEventListener('click', () => {
+        manager.allCollapsed = true
+        const allIds = manager.renderData.tests.map((test) => test.id)
+        setCollapsedIds(allIds)
+        redraw()
+    })
+}
+
+const redraw = () => {
+    const { testSubset } = manager
+
+    renderContent(testSubset)
+    renderDerived()
+}
+
+module.exports = {
+    redraw,
+    bindEvents,
+    renderStatic,
+}
+
+},{"./datamanager.js":1,"./dom.js":2,"./filter.js":3,"./sort.js":7,"./storage.js":8}],6:[function(require,module,exports){
+class MediaViewer {
+    constructor(assets) {
+        this.assets = assets
+        this.index = 0
+    }
+
+    nextActive() {
+        this.index = this.index === this.assets.length - 1 ? 0 : this.index + 1
+        return [this.activeFile, this.index]
+    }
+
+    prevActive() {
+        this.index = this.index === 0 ? this.assets.length - 1 : this.index -1
+        return [this.activeFile, this.index]
+    }
+
+    get currentIndex() {
+        return this.index
+    }
+
+    get activeFile() {
+        return this.assets[this.index]
+    }
+}
+
+
+const setup = (resultBody, assets) => {
+    if (!assets.length) {
+        resultBody.querySelector('.media').classList.add('hidden')
+        return
+    }
+
+    const mediaViewer = new MediaViewer(assets)
+    const container = resultBody.querySelector('.media-container')
+    const leftArrow = resultBody.querySelector('.media-container__nav--left')
+    const rightArrow = resultBody.querySelector('.media-container__nav--right')
+    const mediaName = resultBody.querySelector('.media__name')
+    const counter = resultBody.querySelector('.media__counter')
+    const imageEl = resultBody.querySelector('img')
+    const sourceEl = resultBody.querySelector('source')
+    const videoEl = resultBody.querySelector('video')
+
+    const setImg = (media, index) => {
+        if (media?.format_type === 'image') {
+            imageEl.src = media.path
+
+            imageEl.classList.remove('hidden')
+            videoEl.classList.add('hidden')
+        } else if (media?.format_type === 'video') {
+            sourceEl.src = media.path
+
+            videoEl.classList.remove('hidden')
+            imageEl.classList.add('hidden')
+        }
+
+        mediaName.innerText = media?.name
+        counter.innerText = `${index + 1} / ${assets.length}`
+    }
+    setImg(mediaViewer.activeFile, mediaViewer.currentIndex)
+
+    const moveLeft = () => {
+        const [media, index] = mediaViewer.prevActive()
+        setImg(media, index)
+    }
+    const doRight = () => {
+        const [media, index] = mediaViewer.nextActive()
+        setImg(media, index)
+    }
+    const openImg = () => {
+        window.open(mediaViewer.activeFile.path, '_blank')
+    }
+    if (assets.length === 1) {
+        container.classList.add('media-container--fullscreen')
+    } else {
+        leftArrow.addEventListener('click', moveLeft)
+        rightArrow.addEventListener('click', doRight)
+    }
+    imageEl.addEventListener('click', openImg)
+}
+
+module.exports = {
+    setup,
+}
+
+},{}],7:[function(require,module,exports){
+const { manager } = require('./datamanager.js')
+const storageModule = require('./storage.js')
+
+const genericSort = (list, key, ascending, customOrder) => {
+    let sorted
+    if (customOrder) {
+        sorted = list.sort((a, b) => {
+            const aValue = a.result.toLowerCase()
+            const bValue = b.result.toLowerCase()
+
+            const aIndex = customOrder.findIndex((item) => item.toLowerCase() === aValue)
+            const bIndex = customOrder.findIndex((item) => item.toLowerCase() === bValue)
+
+            // Compare the indices to determine the sort order
+            return aIndex - bIndex
+        })
+    } else {
+        sorted = list.sort((a, b) => a[key] === b[key] ? 0 : a[key] > b[key] ? 1 : -1)
+    }
+
+    if (ascending) {
+        sorted.reverse()
+    }
+    return sorted
+}
+
+const durationSort = (list, ascending) => {
+    const parseDuration = (duration) => {
+        if (duration.includes(':')) {
+            // If it's in the format "HH:mm:ss"
+            const [hours, minutes, seconds] = duration.split(':').map(Number)
+            return (hours * 3600 + minutes * 60 + seconds) * 1000
+        } else {
+            // If it's in the format "nnn ms"
+            return parseInt(duration)
+        }
+    }
+    const sorted = list.sort((a, b) => parseDuration(a['duration']) - parseDuration(b['duration']))
+    if (ascending) {
+        sorted.reverse()
+    }
+    return sorted
+}
+
+const doInitSort = () => {
+    const type = storageModule.getSort(manager.initialSort)
+    const ascending = storageModule.getSortDirection()
+    const list = manager.testSubset
+    const initialOrder = ['Error', 'Failed', 'Rerun', 'XFailed', 'XPassed', 'Skipped', 'Passed']
+
+    storageModule.setSort(type)
+    storageModule.setSortDirection(ascending)
+
+    if (type?.toLowerCase() === 'original') {
+        manager.setRender(list)
+    } else {
+        let sortedList
+        switch (type) {
+        case 'duration':
+            sortedList = durationSort(list, ascending)
+            break
+        case 'result':
+            sortedList = genericSort(list, type, ascending, initialOrder)
+            break
+        default:
+            sortedList = genericSort(list, type, ascending)
+            break
+        }
+        manager.setRender(sortedList)
+    }
+}
+
+const doSort = (type, skipDirection) => {
+    const newSortType = storageModule.getSort(manager.initialSort) !== type
+    const currentAsc = storageModule.getSortDirection()
+    let ascending
+    if (skipDirection) {
+        ascending = currentAsc
+    } else {
+        ascending = newSortType ? false : !currentAsc
+    }
+    storageModule.setSort(type)
+    storageModule.setSortDirection(ascending)
+
+    const list = manager.testSubset
+    const sortedList = type === 'duration' ? durationSort(list, ascending) : genericSort(list, type, ascending)
+    manager.setRender(sortedList)
+}
+
+module.exports = {
+    doInitSort,
+    doSort,
+}
+
+},{"./datamanager.js":1,"./storage.js":8}],8:[function(require,module,exports){
+const possibleFilters = [
+    'passed',
+    'skipped',
+    'failed',
+    'error',
+    'xfailed',
+    'xpassed',
+    'rerun',
+]
+
+const getVisible = () => {
+    const url = new URL(window.location.href)
+    const settings = new URLSearchParams(url.search).get('visible')
+    const lower = (item) => {
+        const lowerItem = item.toLowerCase()
+        if (possibleFilters.includes(lowerItem)) {
+            return lowerItem
+        }
+        return null
+    }
+    return settings === null ?
+        possibleFilters :
+        [...new Set(settings?.split(',').map(lower).filter((item) => item))]
+}
+
+const hideCategory = (categoryToHide) => {
+    const url = new URL(window.location.href)
+    const visibleParams = new URLSearchParams(url.search).get('visible')
+    const currentVisible = visibleParams ? visibleParams.split(',') : [...possibleFilters]
+    const settings = [...new Set(currentVisible)].filter((f) => f !== categoryToHide).join(',')
+
+    url.searchParams.set('visible', settings)
+    window.history.pushState({}, null, unescape(url.href))
+}
+
+const showCategory = (categoryToShow) => {
+    if (typeof window === 'undefined') {
+        return
+    }
+    const url = new URL(window.location.href)
+    const currentVisible = new URLSearchParams(url.search).get('visible')?.split(',').filter(Boolean) ||
+        [...possibleFilters]
+    const settings = [...new Set([categoryToShow, ...currentVisible])]
+    const noFilter = possibleFilters.length === settings.length || !settings.length
+
+    noFilter ? url.searchParams.delete('visible') : url.searchParams.set('visible', settings.join(','))
+    window.history.pushState({}, null, unescape(url.href))
+}
+
+const getSort = (initialSort) => {
+    const url = new URL(window.location.href)
+    let sort = new URLSearchParams(url.search).get('sort')
+    if (!sort) {
+        sort = initialSort || 'result'
+    }
+    return sort
+}
+
+const setSort = (type) => {
+    const url = new URL(window.location.href)
+    url.searchParams.set('sort', type)
+    window.history.pushState({}, null, unescape(url.href))
+}
+
+const getCollapsedCategory = (renderCollapsed) => {
+    let categories
+    if (typeof window !== 'undefined') {
+        const url = new URL(window.location.href)
+        const collapsedItems = new URLSearchParams(url.search).get('collapsed')
+        switch (true) {
+        case !renderCollapsed && collapsedItems === null:
+            categories = ['passed']
+            break
+        case collapsedItems?.length === 0 || /^["']{2}$/.test(collapsedItems):
+            categories = []
+            break
+        case /^all$/.test(collapsedItems) || collapsedItems === null && /^all$/.test(renderCollapsed):
+            categories = [...possibleFilters]
+            break
+        default:
+            categories = collapsedItems?.split(',').map((item) => item.toLowerCase()) || renderCollapsed
+            break
+        }
+    } else {
+        categories = []
+    }
+    return categories
+}
+
+const getSortDirection = () => JSON.parse(sessionStorage.getItem('sortAsc')) || false
+const setSortDirection = (ascending) => sessionStorage.setItem('sortAsc', ascending)
+
+const getCollapsedIds = () => JSON.parse(sessionStorage.getItem('collapsedIds')) || []
+const setCollapsedIds = (list) => sessionStorage.setItem('collapsedIds', JSON.stringify(list))
+
+module.exports = {
+    getVisible,
+    hideCategory,
+    showCategory,
+    getCollapsedIds,
+    setCollapsedIds,
+    getSort,
+    setSort,
+    getSortDirection,
+    setSortDirection,
+    getCollapsedCategory,
+    possibleFilters,
+}
+
+},{}]},{},[4]);
+    </script>
+  </footer>
+</html>
\ No newline at end of file
