diff --git a/backend/report.html b/backend/report.html
index b34ea7a..acbcf6a 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 23-Jan-2025 at 08:03:39 by <a href="https://pypi.python.org/pypi/pytest-html">pytest-html</a>
+    <p>Report generated on 23-Jan-2025 at 10:32:29 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">1 test took 00:00:19.</p>
+        <p class="run-count">2 tests took 00:00:18.</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()">
@@ -392,8 +392,8 @@ div.media {
         <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="failed" />
+            <span class="failed">1 Failed,</span>
             <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="passed" />
             <span class="passed">1 Passed,</span>
             <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="skipped" 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-6.8.0-51-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_main.py::test_bellecour&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_bellecour&#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_main.py::test_bellecour&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 7 - Grande Synagogue de Lyon (191 | 5) - 5 - Impasse Turquet (228 | 5) - 5 - Palais archi\u00e9piscopal (191 | 5) - 1 - Cath\u00e9drale Saint-Jean (305 | 5) - 7 - Basilique de Fourvi\u00e8re (251 | 5) - 8 - Temple du Change (314 | 5) - 5 - La Bibliotheque de la Cit\u00e9 \&#34;des \u00e9crivains en Rh\u00f4ne-Alpes\&#34; (141 | 5) - 4 - Mus\u00e9e des Beaux-Arts de Lyon (170 | 5) - 8 - Basilique Saint-Bonaventure (364 | 5) - 12 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;107 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;120 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:19&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:65 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:93 Fetching sightseeing landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[historic](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[historic](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[water~&amp;quot;^(reflecting_pool)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[water~&amp;quot;^(reflecting_pool)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[building~&amp;quot;^(cathedral)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[building~&amp;quot;^(cathedral)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 139 landmarks of type sightseeing in (1714.0, 45.7576485, 4.8330241)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:96 Fetching sightseeing clusters...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:106 Fetching nature landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[leisure=park](around:1700, 45.76, 4.83);relation[leisure=park](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[geological](around:1700, 45.76, 4.83);relation[geological](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](around:1700, 45.76, 4.83);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:1700, 45.76, 4.83);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:1700, 45.76, 4.83);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](around:1700, 45.76, 4.83);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](around:1700, 45.76, 4.83);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 63 landmarks of type nature in (1714.0, 45.7576485, 4.8330241)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:113 Fetching shopping landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 3 landmarks of type shopping in (1714.0, 45.7576485, 4.8330241)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:115 Fetching shopping clusters...\nINFO     src.main:main.py:97 Fetched 176 landmarks in  \t: 7.117 seconds\nDEBUG    src.utils.optimizer:optimizer.py:577 First results are out. Looking out for circles and correcting.\nDEBUG    src.utils.optimizer:optimizer.py:619 Re-optimized 10 times, objective value : 2641\nDEBUG    src.utils.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.utils.optimizer:optimizer.py:577 First results are out. Looking out for circles and correcting.\nDEBUG    src.utils.optimizer:optimizer.py:619 Re-optimized 11 times, objective value : 2155\nDEBUG    src.main:main.py:120 First stage optimization\t: 6.879 seconds\nDEBUG    src.main:main.py:121 Second stage optimization\t: 5.385 seconds\nINFO     src.main:main.py:122 Total computation time\t: 12.263 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/7b9c1658-f1dc-437d-adc5-6baa12488f79 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/f1a49879-a4d6-4ac0-a943-32781c0365fd &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/4c4576c4-cd8c-4421-9ca6-e41b20ed30d2 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/d1020ab2-99f2-413c-9d02-1bf818e6d3a0 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/543c25f1-f7cc-4527-ae21-b7217112e0f1 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/9beeca61-4096-4e6f-93f9-951a58e683d9 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/42ebbd1b-8d82-4c09-9217-d4e2070d7aed &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/eb791467-e11b-494e-8f6e-19189a329aa2 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/bbe1579e-315d-457c-a7e4-b6142d4fffaf &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/17acceb7-8434-42b4-baf2-c37003a60c6e &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/34bbe85f-705f-4f69-8717-a54a6cd7bdca &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-6.8.0-51-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_main.py::test_bellecour&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_bellecour&#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_main.py::test_bellecour&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 7 - Grande Synagogue de Lyon (191 | 5) - 3 - \u00c9glise Saint-Georges (357 | 5) - 2 - Impasse Turquet (228 | 5) - 8 - \u00c9glise Saint-Just (404 | 5) - 4 - Site arch\u00e9ologique de Saint-Just Les Minimes (228 | 5) - 5 - \u00c9glise Saint-Ir\u00e9n\u00e9e (247 | 5) - 11 - Temple de Cyb\u00e8le (325 | 5) - 7 - Basilique Notre-Dame de Fourvi\u00e8re (247 | 5) - 7 - Cath\u00e9drale Saint-Jean (305 | 5) - 5 - H\u00f4tel de l&#39;Europe (191 | 5) - 5 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;114 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;120 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:08&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;----------------------------- Captured stdout call -----------------------------\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:65 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:93 Fetching sightseeing landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[historic](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[historic](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[water=reflecting_pool](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[building=cathedral](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[building=cathedral](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 139 landmarks of type sightseeing in (1714.0, 45.7576485, 4.8330241)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:96 Fetching sightseeing clusters...\nDEBUG    src.utils.cluster_manager:cluster_manager.py:105 Cluster query: (way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](around:1700, 45.76, 4.83););out ids center;\nDEBUG    src.utils.cluster_manager:cluster_manager.py:147 Found 4 different clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:102 Sightseeing clusters done\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:106 Fetching nature landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[leisure=park](around:1700, 45.76, 4.83);relation[leisure=park](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[geological](around:1700, 45.76, 4.83);relation[geological](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](around:1700, 45.76, 4.83);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:1700, 45.76, 4.83);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:1700, 45.76, 4.83);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](around:1700, 45.76, 4.83);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](around:1700, 45.76, 4.83);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 63 landmarks of type nature in (1714.0, 45.7576485, 4.8330241)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:113 Fetching shopping landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:1700, 45.76, 4.83););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 3 landmarks of type shopping in (1714.0, 45.7576485, 4.8330241)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:115 Fetching shopping clusters...\nDEBUG    src.utils.cluster_manager:cluster_manager.py:105 Cluster query: (node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](around:1700, 45.76, 4.83););out ids center;\nDEBUG    src.utils.cluster_manager:cluster_manager.py:147 Found 5 different clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:126 Shopping clusters done\nINFO     src.main:main.py:97 Fetched 178 landmarks in  \t: 0.049 seconds\nDEBUG    src.utils.optimizer:optimizer.py:577 First results are out. Looking out for circles and correcting.\nDEBUG    src.utils.optimizer:optimizer.py:619 Re-optimized 7 times, objective value : 2765\nDEBUG    src.utils.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.utils.optimizer:optimizer.py:577 First results are out. Looking out for circles and correcting.\nDEBUG    src.utils.optimizer:optimizer.py:619 Re-optimized 5 times, objective value : 2723\nDEBUG    src.main:main.py:120 First stage optimization\t: 4.349 seconds\nDEBUG    src.main:main.py:121 Second stage optimization\t: 3.902 seconds\nINFO     src.main:main.py:122 Total computation time\t: 8.251 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/eccf0ec3-0bde-4ac2-8fc8-cf5281f5cbb0 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/796ae209-9dda-4a4f-98ec-e4d433bfdf2f &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/6b63bcf1-1f91-48bd-9998-f375978d262a &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/3b8366aa-8dbf-4079-94ee-243c1c51644e &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/5589ce08-e2e0-436b-a216-7f977d9919cc &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/056cb5b0-b288-4507-bd37-a08cdc391481 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/7fe3e89e-f3c9-4d59-b9c1-e49a966172df &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/65b10c8f-1580-446a-a992-f93b638f946d &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/e2b64f47-a783-446b-a9b3-afa19dab8198 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/aac3afa3-aefb-4ff0-add6-3957e1e4e527 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/bcae0698-15d0-4898-bb48-e473795cdd99 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/86ee2b8d-765c-42ea-a700-3dbe4022590c &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_main.py::test_paris&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_paris&#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_main.py::test_paris&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 5 - \u00c9glise Saint-Leu - Saint-Gilles (423 | 5) - 6 - Centre Georges Pompidou (865 | 5) - 2 - Fontaine Stravinsky (360 | 5) - 6 - H\u00f4tel de Ville (591 | 5) - 3 - \u00c9glise Saint-Gervais (357 | 5) - 8 - Square Jean XXIII (367 | 5) - 1 - Cath\u00e9drale Notre-Dame de Paris (1138 | 5) - 12 - \u00c9glise Saint-Merri (466 | 5) - 10 - Sainte-Chapelle (1138 | 5) - 1 - Palais de Justice de Paris (467 | 5) - 9 - \u00c9glise Saint-Germain l&#39;Auxerrois (512 | 5) - 6 - La Seine (447 | 5) - 13 - Mus\u00e9e d&#39;Orsay (890 | 5) - 6 - H\u00f4tel de Beauharnais (364 | 5) - 16 - Palais du Louvre (690 | 5) - 1 - Mus\u00e9e du Louvre (698 | 5) - 5 - Temple de l&#39;Oratoire du Louvre (651 | 5) - 4 - Bourse de Commerce \u2014 Pinault Collection (627 | 5) - 2 - Jardin Nelson Mandela (367 | 5) - 3 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;214 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;300 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;client = &amp;lt;starlette.testclient.TestClient object at 0x70c1cc605a30&amp;gt;, request = &amp;lt;FixtureRequest for &amp;lt;Function test_paris&amp;gt;&amp;gt;\n\n    def test_paris(client, request) :   # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b02 : Custom test in Paris (les Halles) centre to ensure proper decision making in crowded area.\n    \n        Args:\n            client:\n            request:\n        &amp;quot;&amp;quot;&amp;quot;\n        start_time = time.time()  # Start timer\n        duration_minutes = 300\n    \n        response = client.post(\n            &amp;quot;/trip/new&amp;quot;,\n            json={\n                &amp;quot;preferences&amp;quot;: {&amp;quot;sightseeing&amp;quot;: {&amp;quot;type&amp;quot;: &amp;quot;sightseeing&amp;quot;, &amp;quot;score&amp;quot;: 5},\n                                &amp;quot;nature&amp;quot;: {&amp;quot;type&amp;quot;: &amp;quot;nature&amp;quot;, &amp;quot;score&amp;quot;: 5},\n                                &amp;quot;shopping&amp;quot;: {&amp;quot;type&amp;quot;: &amp;quot;shopping&amp;quot;, &amp;quot;score&amp;quot;: 5},\n                                &amp;quot;max_time_minute&amp;quot;: duration_minutes,\n                                &amp;quot;detour_tolerance_minute&amp;quot;: 0},\n                &amp;quot;start&amp;quot;: [48.86248803298562, 2.346451131285925]\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;], duration_minutes)\n    \n        # for elem in landmarks :\n        #     print(elem)\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 duration_minutes*0.8 &amp;lt; int(result[&amp;#x27;total_time&amp;#x27;]) &amp;lt; duration_minutes*1.2\nE       assert (300 * 0.8) &amp;lt; 214\nE        +  where 214 = int(214)\n\nsrc/tests/test_main.py:258: AssertionError\n\n----------------------------- Captured stdout call -----------------------------\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\nCache hit!\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:65 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:93 Fetching sightseeing landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[historic](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35);relation[historic](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[water=reflecting_pool](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[building=cathedral](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35);relation[building=cathedral](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 317 landmarks of type sightseeing in (2000, 48.86248803298562, 2.346451131285925)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:96 Fetching sightseeing clusters...\nDEBUG    src.utils.cluster_manager:cluster_manager.py:105 Cluster query: (way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](around:2000, 48.86, 2.35););out ids center;\nDEBUG    src.utils.cluster_manager:cluster_manager.py:147 Found 2 different clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:102 Sightseeing clusters done\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:106 Fetching nature landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[leisure=park](around:2000, 48.86, 2.35);relation[leisure=park](around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[geological](around:2000, 48.86, 2.35);relation[geological](around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](around:2000, 48.86, 2.35);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:2000, 48.86, 2.35);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:2000, 48.86, 2.35);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](around:2000, 48.86, 2.35);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](around:2000, 48.86, 2.35);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 122 landmarks of type nature in (2000, 48.86248803298562, 2.346451131285925)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:113 Fetching shopping landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:205 Query: (way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(around:2000, 48.86, 2.35););out center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:215 Fetched 8 landmarks of type shopping in (2000, 48.86248803298562, 2.346451131285925)\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:115 Fetching shopping clusters...\nDEBUG    src.utils.cluster_manager:cluster_manager.py:105 Cluster query: (node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](around:2000, 48.86, 2.35););out ids center;\nDEBUG    src.utils.cluster_manager:cluster_manager.py:147 Found 14 different clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:126 Shopping clusters done\nINFO     src.main:main.py:97 Fetched 359 landmarks in  \t: 0.107 seconds\nDEBUG    src.utils.optimizer:optimizer.py:577 First results are out. Looking out for circles and correcting.\nDEBUG    src.utils.optimizer:optimizer.py:619 Re-optimized 1 times, objective value : 8789\nDEBUG    src.utils.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.utils.optimizer:optimizer.py:577 First results are out. Looking out for circles and correcting.\nDEBUG    src.utils.optimizer:optimizer.py:619 Re-optimized 6 times, objective value : 11418\nDEBUG    src.main:main.py:120 First stage optimization\t: 0.421 seconds\nDEBUG    src.main:main.py:121 Second stage optimization\t: 8.857 seconds\nINFO     src.main:main.py:122 Total computation time\t: 9.278 seconds\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/991b6048-2ebc-4314-8883-ca70a0367ccc &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/c80ee870-5069-49b1-a0f1-97c30d60c3f3 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/9f0022ac-e9f4-417e-9fcf-b7c07ce0ae13 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/c7028528-82e7-466e-9786-93076ba84a39 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/8284597c-405a-4d00-b5ca-67c7cd5d2537 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/559d3eaa-830c-4ae7-95ce-674484d136c5 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/a3f94f0b-be59-44d5-baac-86fb55b55acc &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/093cda92-4644-4b8f-8525-affeb4884d11 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/4643aa38-ab11-45b8-9991-1d2d9ba3b36d &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/a7dfa4f8-c2e5-4b54-92b8-7d9959f85105 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/917557da-cadb-4b20-8d81-a64e2d05395a &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/91a7d823-848a-4389-92de-eb7cf403f540 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/32787419-ac7f-4340-a63d-71b93b2eb5de &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/5f254a14-3627-40e9-94a4-efa9d4415342 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/6fc41f47-a007-423d-b526-2886bc3b91f6 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/575e3fb6-d62f-4132-bdd1-46edc173429d &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/59926013-cbe0-4f46-ac44-edf1b8a2462c &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/a864d27d-6fce-45a4-ae1e-7b1d9fb6151f &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/5aa04e68-1d2b-4c20-8747-0ccb1072f71b &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/94832ccf-5e85-456e-b02b-5218caa3fc61 &amp;quot;HTTP/1.1 200 OK&amp;quot;\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: GET http://testserver/landmark/862c05e3-0283-43da-a99f-fadd1e74ab8b &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/overpass/overpass.py b/backend/src/overpass/overpass.py
index 0155f85..f61eac8 100644
--- a/backend/src/overpass/overpass.py
+++ b/backend/src/overpass/overpass.py
@@ -39,6 +39,8 @@ def build_query(area: tuple, element_types: ElementTypes, selector: str,
     """
     if not isinstance(conditions, list) :
         conditions = [conditions]
+    if not isinstance(element_types, list) :
+        element_types = [element_types]
 
     query = '('
 
@@ -60,7 +62,7 @@ def build_query(area: tuple, element_types: ElementTypes, selector: str,
     return query
 
 
-def send_overpass_query(query: str, use_cache: bool = True) -> dict:
+def send_overpass_query(query: str) -> dict:
     """
     Sends the Overpass QL query to the Overpass API and returns the parsed JSON response.
 
@@ -76,7 +78,7 @@ def send_overpass_query(query: str, use_cache: bool = True) -> dict:
 
     # Try to fetch the result from the cache
     cached_response = CachingStrategy.get(cache_key)
-    if cached_response:
+    if cached_response is not None :
         print("Cache hit!")
         return cached_response
 
diff --git a/backend/src/parameters/amenity_selectors.yaml b/backend/src/parameters/amenity_selectors.yaml
index a9fcf16..26f90c6 100644
--- a/backend/src/parameters/amenity_selectors.yaml
+++ b/backend/src/parameters/amenity_selectors.yaml
@@ -51,16 +51,14 @@ sightseeing:
     - place_of_worship
     - fountain
     - townhall
-  water:
-    - reflecting_pool
+  water: reflecting_pool
   bridge:
     - aqueduct
     - viaduct
     - boardwalk
     - cantilever
     - abandoned
-  building:
-    - cathedral
+  building: cathedral
 
 # unused sightseeing/buildings:
     # - church
diff --git a/backend/src/tests/test_main.py b/backend/src/tests/test_main.py
index 046e3db..f4b6a4e 100644
--- a/backend/src/tests/test_main.py
+++ b/backend/src/tests/test_main.py
@@ -11,7 +11,7 @@ def client():
     """Client used to call the app."""
     return TestClient(app)
 
-
+'''
 def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
     """
     Test n°1 : Custom test in Turckheim to ensure small villages are also supported.
@@ -54,7 +54,7 @@ def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
     assert len(landmarks) > 2           # check that there is something to visit
     assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
     # assert 2==3
-
+'''
 
 def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
     """
@@ -97,7 +97,7 @@ def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
     assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
     # assert 2 == 3
 
-
+'''
 def test_cologne(client, request) :   # pylint: disable=redefined-outer-name
     """
     Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
@@ -216,7 +216,7 @@ def test_zurich(client, request) :   # pylint: disable=redefined-outer-name
     assert response.status_code == 200  # check for successful planning
     assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
     assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
-
+'''
 
 def test_paris(client, request) :   # pylint: disable=redefined-outer-name
     """
@@ -257,7 +257,7 @@ def test_paris(client, request) :   # pylint: disable=redefined-outer-name
     assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
     assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
 
-
+'''
 def test_new_york(client, request) :   # pylint: disable=redefined-outer-name
     """
     Test n°2 : Custom test in New York (les Halles) centre to ensure proper decision making in crowded area.
@@ -337,7 +337,7 @@ def test_shopping(client, request) :   # pylint: disable=redefined-outer-name
     assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
     assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
 
-
+'''
 # def test_new_trip_single_prefs(client):
 #     response = client.post(
 #         "/trip/new",
diff --git a/backend/src/utils/cluster_manager.py b/backend/src/utils/cluster_manager.py
index ff7edee..156e82a 100644
--- a/backend/src/utils/cluster_manager.py
+++ b/backend/src/utils/cluster_manager.py
@@ -5,8 +5,10 @@ from typing import Literal
 import numpy as np
 from sklearn.cluster import DBSCAN
 from pydantic import BaseModel
-from OSMPythonTools.overpass import Overpass, overpassQueryBuilder
-from OSMPythonTools.cachingStrategy import CachingStrategy, JSON
+# from OSMPythonTools.overpass import Overpass, overpassQueryBuilder
+# from OSMPythonTools.cachingStrategy import CachingStrategy, JSON
+from ..overpass.overpass import build_query, send_overpass_query
+from ..overpass.caching_strategy import CachingStrategy
 
 from ..structs.landmark import Landmark
 from .get_time_distance import get_distance
@@ -79,43 +81,54 @@ class ClusterManager:
         Args: 
             bbox: The bounding box coordinates (around:radius, center_lat, center_lon).
         """
-        self.overpass = Overpass()
-        CachingStrategy.use(JSON, cacheDir=OSM_CACHE_DIR)
+        # self.overpass = Overpass()
+        # CachingStrategy.use(JSON, cacheDir=OSM_CACHE_DIR)
+        CachingStrategy.use('XML', cache_dir=OSM_CACHE_DIR)
 
         self.cluster_type = cluster_type
         if cluster_type == 'shopping' :
-            elem_type = ['node']
-            sel = ['"shop"~"^(bag|boutique|clothes)$"']
-            out = 'skel'
-        else :
-            elem_type = ['way']
-            sel = ['"historic"="building"']
-            out = 'center'
+            osm_types = ['node']
+            sel = '"shop"~"^(bag|boutique|clothes)$"'
+            out = 'ids center'
+        elif cluster_type == 'sightseeing' :
+            osm_types = ['way']
+            sel = '"historic"~"^(monument|building|yes)$"'
+            out = 'ids center'
 
         # Initialize the points for cluster detection
-        query = overpassQueryBuilder(
-            bbox = bbox,
-            elementType = elem_type,
+        query = build_query(
+            area = bbox,
+            element_types = osm_types,
             selector = sel,
-            includeCenter = True,
             out = out
         )
+        self.logger.debug(f"Cluster query: {query}")
 
         try:
-            result = self.overpass.query(query)
+            result = send_overpass_query(query)
         except Exception as e:
             self.logger.error(f"Error fetching landmarks: {e}")
 
-        if len(result.elements()) == 0 :
+        if result is None :
+            self.logger.error(f"Error fetching {cluster_type} clusters, overpass query returned None.")
             self.valid = False
-
+        
         else :
             points = []
-            for elem in result.elements() :
-                coords = tuple((elem.lat(), elem.lon()))
-                if coords[0] is None :
-                    coords = tuple((elem.centerLat(), elem.centerLon()))
-                points.append(coords)
+            for osm_type in osm_types :
+                for elem in result.findall(osm_type):
+                    center = elem.find('center')
+
+                    if osm_type != 'node' :
+                        lat = float(center.get('lat'))
+                        lon = float(center.get('lon'))
+                        points.append(tuple((lat, lon)))
+                    
+                    else :
+                        lat = float(elem.get('lat'))
+                        lon = float(elem.get('lon'))
+                        points.append(tuple((lat, lon)))
+
 
             self.all_points = np.array(points)
 
@@ -123,14 +136,14 @@ class ClusterManager:
             if self.cluster_type == 'shopping' and len(self.all_points) > 200 :
                 dbscan = DBSCAN(eps=0.00118, min_samples=15, algorithm='kd_tree')  # for large cities
             elif self.cluster_type == 'sightseeing' :
-                dbscan = DBSCAN(eps=0.0025, min_samples=15, algorithm='kd_tree')  # for historic neighborhoods
+                dbscan = DBSCAN(eps=0.003, min_samples=10, algorithm='kd_tree')  # for historic neighborhoods
             else :
                 dbscan = DBSCAN(eps=0.00075, min_samples=10, algorithm='kd_tree')  # for small cities
 
             labels = dbscan.fit_predict(self.all_points)
 
-            # Check that there are at least 2 different clusters
-            if len(set(labels)) > 2 :
+            # Check that there are is least 1 cluster
+            if len(set(labels)) > 1 :
                 self.logger.debug(f"Found {len(set(labels))} different clusters.")
                 # Separate clustered points and noise points
                 self.cluster_points = self.all_points[labels != -1]
@@ -139,6 +152,7 @@ class ClusterManager:
                 self.valid = True
 
             else :
+                self.logger.error(f"Detected 0 {cluster_type} clusters.")
                 self.valid = False
 
 
@@ -208,7 +222,7 @@ class ClusterManager:
 
         # Define the bounding box for a given radius around the coordinates
         lat, lon = cluster.centroid
-        bbox = ("around:1000", str(lat), str(lon))
+        bbox = (1000, lat, lon)
 
         # Query neighborhoods and shopping malls
         selectors = ['"place"~"^(suburb|neighborhood|neighbourhood|quarter|city_block)$"']
@@ -222,48 +236,56 @@ class ClusterManager:
             t = 15
 
         min_dist = float('inf')
-        new_name_en = None
         osm_id = 0
         osm_type = 'node'
+        osm_types = ['node', 'way', 'relation']
 
         for sel in selectors :
-            query = overpassQueryBuilder(
-                bbox = bbox,
-                elementType = ['node', 'way', 'relation'],
+            query = build_query(
+                area = bbox,
+                element_types = osm_types,
                 selector = sel,
-                includeCenter = True,
-                out = 'center'
+                out = 'ids center'
             )
 
             try:
-                result = self.overpass.query(query)
+                result = send_overpass_query(query)
             except Exception as e:
                 self.logger.error(f"Error fetching landmarks: {e}")
                 continue
 
-            for elem in result.elements():
-                location = (elem.centerLat(), elem.centerLon())
+            if result is None :
+                self.logger.error(f"Error fetching landmarks: {e}")
+                continue
 
-                # Skip if element has neither name or location
-                if elem.tag('name') is None :
-                    continue
-                if location[0] is None :
-                    location = (elem.lat(), elem.lon())
-                    if location[0] is None :
+            for osm_type in osm_types :
+                for elem in result.findall(osm_type):
+                    name = elem.find("tag[@k='name']").get('v') if elem.find("tag[@k='name']") is not None else None
+                    center = elem.find('center')
+
+                    # Extract the center latitude and longitude if available.
+                    if name is None :
                         continue
 
-                d = get_distance(cluster.centroid, location)
-                if  d < min_dist :
-                    min_dist = d
-                    new_name = elem.tag('name')
-                    osm_type = elem.type()      # Add type: 'way' or 'relation'
-                    osm_id = elem.id()          # Add OSM id
+                    if osm_type != 'node' :
+                        lat = float(center.get('lat'))
+                        lon = float(center.get('lon'))
+                    
+                    else :
+                        lat = float(elem.get('lat'))
+                        lon = float(elem.get('lon'))
 
-                    # Add english name if it exists
-                    try :
-                        new_name_en = elem.tag('name:en')
-                    except Exception:
-                        pass
+                    coords = tuple((lat, lon))
+
+                    if coords is None :
+                        continue
+
+                    d = get_distance(cluster.centroid, coords)
+                    if  d < min_dist :
+                        min_dist = d
+                        new_name = name
+                        osm_type = osm_type         # Add type: 'way' or 'relation'
+                        osm_id = elem.get('id')     # Add OSM id
 
         return Landmark(
             name=new_name,
@@ -273,7 +295,6 @@ class ClusterManager:
             n_tags=0,
             osm_id=osm_id,
             osm_type=osm_type,
-            name_en=new_name_en,
             duration=t
         )
 
diff --git a/backend/src/utils/landmarks_manager.py b/backend/src/utils/landmarks_manager.py
index 7c28e35..7b34db2 100644
--- a/backend/src/utils/landmarks_manager.py
+++ b/backend/src/utils/landmarks_manager.py
@@ -96,10 +96,10 @@ class LandmarkManager:
             self.logger.debug('Fetching sightseeing clusters...')
 
             # special pipeline for historic neighborhoods
-            # neighborhood_manager = ClusterManager(bbox, 'sightseeing')
-            # historic_clusters = neighborhood_manager.generate_clusters()
-            # all_landmarks.update(historic_clusters)
-            # self.logger.debug('Sightseeing clusters done')
+            neighborhood_manager = ClusterManager(bbox, 'sightseeing')
+            historic_clusters = neighborhood_manager.generate_clusters()
+            all_landmarks.update(historic_clusters)
+            self.logger.debug('Sightseeing clusters done')
 
         # list for nature
         if preferences.nature.score != 0:
@@ -120,10 +120,10 @@ class LandmarkManager:
             all_landmarks.update(current_landmarks)
 
             # special pipeline for shopping malls
-            # shopping_manager = ClusterManager(bbox, 'shopping')
-            # shopping_clusters = shopping_manager.generate_clusters()
-            # all_landmarks.update(shopping_clusters)
-            # self.logger.debug('Shopping clusters done')
+            shopping_manager = ClusterManager(bbox, 'shopping')
+            shopping_clusters = shopping_manager.generate_clusters()
+            all_landmarks.update(shopping_clusters)
+            self.logger.debug('Shopping clusters done')
 
 
 
@@ -210,14 +210,14 @@ class LandmarkManager:
                 self.logger.error(f"Error fetching landmarks: {e}")
                 continue
                 
-            return_list += self.parse_overpass_result(result, landmarktype, preference_level)
+            return_list += self.xml_to_landmarks(result, landmarktype, preference_level)
 
         self.logger.debug(f"Fetched {len(return_list)} landmarks of type {landmarktype} in {bbox}")
 
         return return_list
 
 
-    def parse_overpass_result(self, root: ET.Element, landmarktype, preference_level) -> list[Landmark]:
+    def xml_to_landmarks(self, root: ET.Element, landmarktype, preference_level) -> list[Landmark]:
         """
         Parse the Overpass API result and extract landmarks.
 
@@ -239,9 +239,6 @@ class LandmarkManager:
         landmarks = []
         for osm_type in ['node', 'way', 'relation'] :
             for elem in root.findall(osm_type):
-                # self.logger.debug('new landmark')
-
-                # Extract basic info from the landmark.
                 name = elem.find("tag[@k='name']").get('v') if elem.find("tag[@k='name']") is not None else None
                 center = elem.find('center')
                 tags = elem.findall('tag')
@@ -253,6 +250,7 @@ class LandmarkManager:
                     coords = tuple((lat, lon))
                 else :
                     continue
+
                 
                 # Convert this to Landmark object
                 landmark = Landmark(name=name,
@@ -307,6 +305,8 @@ class LandmarkManager:
                         landmark.duration = 5
 
                 else: 
+                    # add them to cache here before setting the score
+                    # name should be : 'osm_type + str(osm_id) + 'json'
                     self.set_landmark_score(landmark, landmarktype, preference_level)
                     landmarks.append(landmark)
                     # self.logger.debug('new landmark added')
