diff --git a/backend/report.html b/backend/report.html
index aafd533..7595912 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 20-Feb-2025 at 10:03:16 by <a href="https://pypi.python.org/pypi/pytest-html">pytest-html</a>
+    <p>Report generated on 21-Jun-2025 at 12:49:54 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">18 tests took 00:02:19.</p>
+        <p class="run-count">2 tests took 00:00:14.</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>
-            <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="passed" />
-            <span class="passed">17 Passed,</span>
+            <span class="failed">2 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/>
@@ -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-6.8.0-53-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_invalid_input.py::test_input[start0-preferences0-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start0-preferences0-422]&#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_invalid_input.py::test_input[start0-preferences0-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;14 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_invalid_input.py::test_input[start1-preferences1-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start1-preferences1-422]&#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_invalid_input.py::test_input[start1-preferences1-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;3 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_invalid_input.py::test_input[start2-preferences2-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start2-preferences2-422]&#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_invalid_input.py::test_input[start2-preferences2-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;2 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_invalid_input.py::test_input[start3-preferences3-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start3-preferences3-422]&#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_invalid_input.py::test_input[start3-preferences3-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;4 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_invalid_input.py::test_input[start4-preferences4-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start4-preferences4-422]&#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_invalid_input.py::test_input[start4-preferences4-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;5 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_invalid_input.py::test_input[start5-preferences5-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start5-preferences5-422]&#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_invalid_input.py::test_input[start5-preferences5-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;4 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_invalid_input.py::test_input[start6-preferences6-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start6-preferences6-422]&#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_invalid_input.py::test_input[start6-preferences6-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;5 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_invalid_input.py::test_input[start7-preferences7-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_invalid_input.py::test_input[start7-preferences7-422]&#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_invalid_input.py::test_input[start7-preferences7-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;3 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 422 Unprocessable Entity&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) - 9 - \u00c9glise Saint-Germain l&#39;Auxerrois (496 | 5) - 9 - Palais du Louvre (891 | 5) - 6 - Temple de l&#39;Oratoire du Louvre (630 | 5) - 6 - La Samaritaine (416 | 5) - 7 - Fontaine du Palmier (333 | 5) - 2 - Tour Saint-Jacques (793 | 5) - 3 - \u00c9glise Saint-Merri (397 | 5) - 3 - Centre Georges Pompidou (1118 | 5) - 10 - 4e Arrondissement (855 | 30) - 8 - H\u00f4tel de Ville (672 | 5) - 9 - M\u00e9morial des Martyrs de la D\u00e9portation (624 | 5) - 4 - Cath\u00e9drale Notre-Dame de Paris (1469 | 10) - 8 - Pont au Change (333 | 5) - 4 - Palais de Justice de Paris (531 | 5) - 3 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;191 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;200 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:01:58&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 0x762b0065c530&amp;gt;\nrequest = &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\u00b06 : 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 = 200\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;: 0},\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;: [48.85468881798671, 2.3423925755998374]\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&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: 118.42 seconds\nE       assert 118.42416024208069 &amp;lt; 30\n\nsrc/tests/test_main.py:259: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:70 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:72 Requested new trip generation. Details:\n\tCoordinates: (48.85468881798671, 2.3423925755998374)\n\tTime: 200\n\tSightseeing: 5\n\tNature: 0\n\tShopping: 5\nDEBUG    src.landmarks.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG    src.landmarks.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[historic](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[historic](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[water=reflecting_pool](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[building=cathedral](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[building=cathedral](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:90 Found 426 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center;\nINFO     src.landmarks.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG    src.landmarks.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 10 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/4 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center;\nINFO     src.landmarks.cluster_manager:cluster_manager.py:137 Found 17 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/1 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.864535554147636,2.322543930515973,48.86992544585236,2.3307376694840265);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.864535554147636,2.322543930515973,48.86992544585236,2.3307376694840265);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.864535554147636,2.322543930515973,48.86992544585236,2.3307376694840265););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/1 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.864535554147636,2.322543930515973,48.86992544585236,2.3307376694840265);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.864535554147636,2.322543930515973,48.86992544585236,2.3307376694840265);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.864535554147636,2.322543930515973,48.86992544585236,2.3307376694840265););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/2 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.86121605414764,2.342718602264653,48.86660594585236,2.350911797735347);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.86121605414764,2.342718602264653,48.86660594585236,2.350911797735347);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.86121605414764,2.342718602264653,48.86660594585236,2.350911797735347););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/2 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.86121605414764,2.342718602264653,48.86660594585236,2.350911797735347);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.86121605414764,2.342718602264653,48.86660594585236,2.350911797735347);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.86121605414764,2.342718602264653,48.86660594585236,2.350911797735347););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/1 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.854939054147636,2.3546762159910193,48.86032894585236,2.362868384008981);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.854939054147636,2.3546762159910193,48.86032894585236,2.362868384008981);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.854939054147636,2.3546762159910193,48.86032894585236,2.362868384008981););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/1 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.854939054147636,2.3546762159910193,48.86032894585236,2.362868384008981);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.854939054147636,2.3546762159910193,48.86032894585236,2.362868384008981);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.854939054147636,2.3546762159910193,48.86032894585236,2.362868384008981););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/2 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.849747754147636,2.3286988407263425,48.85513764585236,2.3368901592736573);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.849747754147636,2.3286988407263425,48.85513764585236,2.3368901592736573);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.849747754147636,2.3286988407263425,48.85513764585236,2.3368901592736573););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/2 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.849747754147636,2.3286988407263425,48.85513764585236,2.3368901592736573);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.849747754147636,2.3286988407263425,48.85513764585236,2.3368901592736573);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.849747754147636,2.3286988407263425,48.85513764585236,2.3368901592736573););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/1 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85910515414764,2.360323175046188,48.864495045852365,2.3685160249538124);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85910515414764,2.360323175046188,48.864495045852365,2.3685160249538124);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85910515414764,2.360323175046188,48.864495045852365,2.3685160249538124););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:56 Cache hit for 0/1 quadrants.\nDEBUG    src.overpass.overpass:overpass.py:65 Query string: [out:json][timeout:20];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85910515414764,2.360323175046188,48.864495045852365,2.3685160249538124);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85910515414764,2.360323175046188,48.864495045852365,2.3685160249538124);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85910515414764,2.360323175046188,48.864495045852365,2.3685160249538124););out ids center tags;\nINFO     src.main:main.py:110 Fetched 377 landmarks in  \t: 28.834 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:596 First results are out. Looking out for circles and correcting...\nINFO     src.optimization.optimizer:optimizer.py:636 Re-optimized 8 times, objective value : 8551\nDEBUG    src.optimization.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:596 First results are out. Looking out for circles and correcting...\nINFO     src.optimization.optimizer:optimizer.py:636 Re-optimized 4 times, objective value : 9558\nDEBUG    src.main:main.py:136 First stage optimization\t: 5.209 seconds\nDEBUG    src.main:main.py:137 Second stage optimization\t: 1.239 seconds\nINFO     src.main:main.py:138 Total computation time\t: 6.448 seconds\nINFO     src.main:main.py:143 Generated a trip of 191 minutes with 16 landmarks in 35.282 seconds.\nDEBUG    src.main:main.py:144 Detailed trip :\n\tLandmark(start): [start @(48.85468881798671, 2.3423925755998374), score=0, time_to_next=9]\n\tLandmark(sightseeing): [\u00c9glise Saint-Germain l&amp;#x27;Auxerrois @(48.8595016, 2.3413445), score=496, time_to_next=9]\n\tLandmark(sightseeing): [Palais du Louvre @(48.8614768, 2.3351677), score=891, time_to_next=6]\n\tLandmark(sightseeing): [Temple de l&amp;#x27;Oratoire du Louvre @(48.8616725, 2.3400059), score=630, time_to_next=6]\n\tLandmark(sightseeing): [La Samaritaine @(48.8592672, 2.3424349), score=416, time_to_next=7, secondary]\n\tLandmark(sightseeing): [Fontaine du Palmier @(48.8575005, 2.3472864), score=333, time_to_next=2, secondary]\n\tLandmark(sightseeing): [Tour Saint-Jacques @(48.8579983, 2.3489178), score=793, time_to_next=3]\n\tLandmark(sightseeing): [\u00c9glise Saint-Merri @(48.8590777, 2.3508448), score=397, time_to_next=3, secondary]\n\tLandmark(sightseeing): [Centre Georges Pompidou @(48.8605235, 2.3524395), score=1118, time_to_next=10]\n\tLandmark(shopping): [4e Arrondissement @(48.857634, 2.3587723), score=855, time_to_next=8]\n\tLandmark(sightseeing): [H\u00f4tel de Ville @(48.8564265, 2.352527), score=672, time_to_next=9]\n\tLandmark(sightseeing): [M\u00e9morial des Martyrs de la D\u00e9portation @(48.8517365, 2.3524734), score=624, time_to_next=4]\n\tLandmark(sightseeing): [Cath\u00e9drale Notre-Dame de Paris @(48.8529372, 2.3498701), score=1469, time_to_next=8]\n\tLandmark(sightseeing): [Pont au Change @(48.8567097, 2.3468433), score=333, time_to_next=4, secondary]\n\tLandmark(sightseeing): [Palais de Justice de Paris @(48.8556537, 2.3446072), score=531, time_to_next=3]\n\tLandmark(finish): [finish @(48.85468881798671, 2.3423925755998374), score=0]\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 78351b124204bc03e1ef90607268f93f\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for ad4dc4da03822ac79868bcfba3d45c79\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for f4d32ee9aef9ab0e8fc99189f62eb335\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for e948371ee73e26513b31196a39024ad9\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 64718cf4b830c17ce59614fb2516d113\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 0ebf3424e8582facb69da2d544675d8a\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 492f2f962491d1740a5c77d09a6c92c4\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 684a8a12089403eadb3c7ce091c2be80\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 0761193ce64927f58787e2fc39863356\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for d1d35056fe1637ce51119c73a2a52a15\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 2a0067f12a13b198722138c1f197c456\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for b13c7051ce6fe4b8d323b2a7b67c91c4\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 36a9addf8f85c7842056a22fb23f72f9\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 60c5bd7fa08145f807bfb8e462830130\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for a4acc25e1e9a5be738003b0c732f5a64\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for fffff4287ae55e52e5d025711fd1bc68\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for f7e8692e57d36017b272a4af957d79c4\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 1402693db5cd9fb147445a983cb49026\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for f5b32e229f857fd748d4ad61501f875f\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for e3eb0b02c4fa2babe7fbe7caf81fb12a\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for f069676d76126e01a57a287e2bcb6f50\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 3450e459ceb991b5bffb1d93566abaf6\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 73ca842980b79e6fc1dfd82fc8458d7a\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 1515d3ba78aff33836603e6fdd07079e\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for f7ed59837e9d15359043253bd96dd490\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for e094a045360468b2a70a9b1f671b91b9\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 42902c0fe52b7b3534124a9b4c1c6471\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for d8a5c85713268c52e876355b315bed80\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 403b7c33e4330a23925525d6807ce441\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 6411002b97a7b565577c42c8e440f9dc\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for ee316eb08a8986f967f0495112f41ce7\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 22d1b41451ac026e9fa93cc3a4cde884\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 073d5c87636bb136526e997cc131a82c\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for e2c3187d657812d57fbb488c8a856666\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 71b657d0bc0748e1c76951adeff4d5cc\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 64b1af12be350f7fba57d89055462253\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 10ea1df16aafbd4f2c077e0d936b5773\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 0192977825ad85074fdb26005a6950d0\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 57f529fd05034522c841da34c8cc433e\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 642067051f13007c46bd092a5ade5caf\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for 2b34766c9639bc208e3269b8380e56e3\nDEBUG    src.overpass.overpass:overpass.py:122 Cache set for b8ae0a66097bf25e5d9e07dcedef9fa3\nINFO     src.overpass.overpass:overpass.py:422 Successfully filled 42/42 cache files.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/trip/new &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_invalid_input[location0-None-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_invalid_input[location0-None-422]&#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_toilets.py::test_invalid_input[location0-None-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;3 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=%7B%7D&amp;amp;radius= &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_invalid_input[location1-None-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_invalid_input[location1-None-422]&#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_toilets.py::test_invalid_input[location1-None-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;2 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=443&amp;amp;radius= &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_invalid_input[location2-None-422]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_invalid_input[location2-None-422]&#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_toilets.py::test_invalid_input[location2-None-422]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;3 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=443&amp;amp;location=433&amp;amp;radius= &amp;quot;HTTP/1.1 422 Unprocessable Entity&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_no_toilets[location0-200]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_no_toilets[location0-200]&#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_toilets.py::test_no_toilets[location0-200]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;303 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=48.227&amp;amp;location=7.437 &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_no_toilets[location1-200]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_no_toilets[location1-200]&#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_toilets.py::test_no_toilets[location1-200]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;254 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=10.2012&amp;amp;location=10.123 &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_no_toilets[location2-200]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_no_toilets[location2-200]&#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_toilets.py::test_no_toilets[location2-200]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;259 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=63.989&amp;amp;location=-19.677 &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_toilets[location0-200]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_toilets[location0-200]&#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_toilets.py::test_toilets[location0-200]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:13&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     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=45.7576485&amp;amp;location=4.8330241&amp;amp;radius=600 &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_toilets[location1-200]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_toilets[location1-200]&#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_toilets.py::test_toilets[location1-200]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;306 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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=-6.913795&amp;amp;location=107.60278&amp;amp;radius=600 &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_toilets.py::test_toilets[location2-200]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_toilets.py::test_toilets[location2-200]&#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_toilets.py::test_toilets[location2-200]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&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 -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/toilets/new?location=-22.97014&amp;amp;location=-43.18181&amp;amp;radius=600 &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-6.8.0-62-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_nearby.py::test_nearby[location0-2000]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_nearby.py::test_nearby[location0-2000]&#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_nearby.py::test_nearby[location0-2000]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&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;client = &amp;lt;starlette.testclient.TestClient object at 0x73af20ed1be0&amp;gt;, location = [45.7576485, 4.8330241], status_code = 2000\n\n    @pytest.mark.parametrize(\n        &amp;quot;location,status_code&amp;quot;,\n        [\n            ([45.7576485, 4.8330241], 2000),     # Lyon, Bellecour.\n            ([41.4020572, 2.1818985], 2000),       # Barcelona\n        ]\n    )\n    def test_nearby(client, location, status_code):    # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b01 : Verify handling of invalid input.\n    \n        Args:\n            client:\n            request:\n        &amp;quot;&amp;quot;&amp;quot;\n        response = client.post(f&amp;quot;/landmarks/get-nearby/{location[0]}/{location[1]}&amp;quot;)\n        print(response)\n        print(response.json())\n        suggestions = response.json()\n    \n        # checks :\n&amp;gt;       assert response.status_code == status_code  # check for successful planning\nE       assert 200 == 2000\nE        +  where 200 = &amp;lt;Response [200 OK]&amp;gt;.status_code\n\nsrc/tests/test_nearby.py:36: AssertionError\n\n----------------------------- Captured stdout call -----------------------------\n&amp;lt;Response [200 OK]&amp;gt;\n[{&amp;#x27;name&amp;#x27;: &amp;#x27;Basilique Saint-Bonaventure&amp;#x27;, &amp;#x27;type&amp;#x27;: &amp;#x27;sightseeing&amp;#x27;, &amp;#x27;location&amp;#x27;: [45.763057, 4.8369311], &amp;#x27;osm_type&amp;#x27;: &amp;#x27;way&amp;#x27;, &amp;#x27;osm_id&amp;#x27;: 60803772, &amp;#x27;attractiveness&amp;#x27;: 437, &amp;#x27;n_tags&amp;#x27;: 22, &amp;#x27;image_url&amp;#x27;: None, &amp;#x27;website_url&amp;#x27;: None, &amp;#x27;wiki_url&amp;#x27;: &amp;#x27;fr:Basilique Saint-Bonaventure de Lyon&amp;#x27;, &amp;#x27;keywords&amp;#x27;: {}, &amp;#x27;description&amp;#x27;: None, &amp;#x27;duration&amp;#x27;: 5, &amp;#x27;name_en&amp;#x27;: None, &amp;#x27;uuid&amp;#x27;: &amp;#x27;ff67ba84-3db7-4cb8-9173-2332328d308e&amp;#x27;, &amp;#x27;must_do&amp;#x27;: False, &amp;#x27;must_avoid&amp;#x27;: False, &amp;#x27;is_secondary&amp;#x27;: False, &amp;#x27;time_to_reach_next&amp;#x27;: 0, &amp;#x27;next_uuid&amp;#x27;: None, &amp;#x27;is_viewpoint&amp;#x27;: False, &amp;#x27;is_place_of_worship&amp;#x27;: False}]\n\n------------------------------ Captured log call -------------------------------\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 1 sightseeing landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 0 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:116 Found 0 shopping landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 1 landmarks in total.\nINFO     src.main:main.py:268 Suggested landmarks :\n\tLandmark(sightseeing): [Basilique Saint-Bonaventure @(45.763057, 4.8369311), score=437]\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/landmarks/get-nearby/45.7576485/4.8330241 &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_nearby.py::test_nearby[location1-2000]&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_nearby.py::test_nearby[location1-2000]&#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_nearby.py::test_nearby[location1-2000]&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td&gt;N/A&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:07&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 0x73af20ed1be0&amp;gt;, location = [41.4020572, 2.1818985], status_code = 2000\n\n    @pytest.mark.parametrize(\n        &amp;quot;location,status_code&amp;quot;,\n        [\n            ([45.7576485, 4.8330241], 2000),     # Lyon, Bellecour.\n            ([41.4020572, 2.1818985], 2000),       # Barcelona\n        ]\n    )\n    def test_nearby(client, location, status_code):    # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b01 : Verify handling of invalid input.\n    \n        Args:\n            client:\n            request:\n        &amp;quot;&amp;quot;&amp;quot;\n        response = client.post(f&amp;quot;/landmarks/get-nearby/{location[0]}/{location[1]}&amp;quot;)\n        print(response)\n        print(response.json())\n        suggestions = response.json()\n    \n        # checks :\n&amp;gt;       assert response.status_code == status_code  # check for successful planning\nE       assert 500 == 2000\nE        +  where 500 = &amp;lt;Response [500 Internal Server Error]&amp;gt;.status_code\n\nsrc/tests/test_nearby.py:36: AssertionError\n\n----------------------------- Captured stdout call -----------------------------\n&amp;lt;Response [500 Internal Server Error]&amp;gt;\n{&amp;#x27;detail&amp;#x27;: &amp;#x27;No landmarks were found.&amp;#x27;}\n\n------------------------------ Captured log call -------------------------------\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:81 Starting to fetch landmarks around (41.4020572, 2.1818985)...\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:96 Found 0 sightseeing landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:109 Found 0 nature landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:116 Found 0 shopping landmarks\nINFO     src.landmarks.landmarks_manager:landmarks_manager.py:134 Found 0 landmarks in total.\nINFO     httpx:_client.py:1025 HTTP Request: POST http://testserver/landmarks/get-nearby/41.4020572/2.1818985 &amp;quot;HTTP/1.1 500 Internal Server Error&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/cluster_manager.py b/backend/src/landmarks/cluster_manager.py
index 85f9af5..1e9ae7b 100644
--- a/backend/src/landmarks/cluster_manager.py
+++ b/backend/src/landmarks/cluster_manager.py
@@ -146,7 +146,7 @@ class ClusterManager:
                     self.valid = False
 
             else :
-                self.logger.debug(f"Detected 0 {cluster_type} clusters.")
+                self.logger.debug(f"Found 0 {cluster_type} clusters.")
                 self.valid = False
 
 
diff --git a/backend/src/landmarks/landmarks_manager.py b/backend/src/landmarks/landmarks_manager.py
index 3b36f36..f7094c7 100644
--- a/backend/src/landmarks/landmarks_manager.py
+++ b/backend/src/landmarks/landmarks_manager.py
@@ -55,7 +55,12 @@ class LandmarkManager:
         self.logger.info('LandmakManager successfully initialized.')
 
 
-    def generate_landmarks_list(self, center_coordinates: tuple[float, float], preferences: Preferences) -> tuple[list[Landmark], list[Landmark]]:
+    def generate_landmarks_list(
+            self,
+            center_coordinates: tuple[float, float],
+            preferences: Preferences,
+            allow_clusters: bool = True
+            ) -> tuple[list[Landmark], list[Landmark]]:
         """
         Generate and prioritize a list of landmarks based on user preferences.
 
@@ -63,16 +68,17 @@ class LandmarkManager:
         and current location. It scores and corrects these landmarks, removes duplicates, and then selects the most important
         landmarks based on a predefined criterion.
 
-        Args:
-        center_coordinates (tuple[float, float]): The latitude and longitude of the center location around which to search.
-        preferences (Preferences): The user's preference settings that influence the landmark selection.
+        Parameters :
+            center_coordinates (tuple[float, float]): The latitude and longitude of the center location around which to search.
+            preferences (Preferences): The user's preference settings that influence the landmark selection.
+            allow_clusters (bool, optional) : If set to False, no clusters will be fetched. Mainly used for the option to fetch landmarks nearby.
 
         Returns:
         tuple[list[Landmark], list[Landmark]]:
         - A list of all existing landmarks.
         - A list of the most important landmarks based on the user's preferences.
         """
-        self.logger.debug('Starting to fetch landmarks...')
+        self.logger.info(f'Starting to fetch landmarks around {center_coordinates}...')
         max_walk_dist = int((preferences.max_time_minute/2)/60*self.walking_speed*1000/self.detour_factor)
         radius = min(max_walk_dist, int(self.max_bbox_side/2))
 
@@ -89,10 +95,11 @@ class LandmarkManager:
             all_landmarks.update(current_landmarks)
             self.logger.info(f'Found {len(current_landmarks)} sightseeing landmarks')
 
+            if allow_clusters :
             # special pipeline for historic neighborhoods
-            neighborhood_manager = ClusterManager(bbox, 'sightseeing')
-            historic_clusters = neighborhood_manager.generate_clusters()
-            all_landmarks.update(historic_clusters)
+                neighborhood_manager = ClusterManager(bbox, 'sightseeing')
+                historic_clusters = neighborhood_manager.generate_clusters()
+                all_landmarks.update(historic_clusters)
 
         # list for nature
         if preferences.nature.score != 0:
@@ -113,14 +120,18 @@ class LandmarkManager:
                 landmark.duration = 30
             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)
+            if allow_clusters :
+                # special pipeline for shopping malls
+                shopping_manager = ClusterManager(bbox, 'shopping')
+                shopping_clusters = shopping_manager.generate_clusters()
+                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
 
@@ -236,188 +247,63 @@ class LandmarkManager:
                 continue
 
             tags = elem.get('tags')
+            n_tags=len(tags)
+
+            # Skip this landmark if not suitable
+            if tags.get('building:part') is not None :
+                continue
+            if tags.get('disused') is not None :
+                continue
+            if tags.get('boundary') is not None :
+                continue
+            if tags.get('shop') is not None and landmarktype != 'shopping' :
+                continue
+
+            # Maybe a bit too inefficient
+            # for key in tags.keys():
+            #     if 'disused:' in key or 'boundary:' in key :
+            #         break
+            #     if 'building:' in key or 'pay' in key :
+            #         n_tags -= 1
 
             # Convert this to Landmark object
+            # TODO: convert to proto landmark and store rest to memcache
             landmark = Landmark(name=name,
                                 type=landmarktype,
                                 location=coords,
                                 osm_id=id,
                                 osm_type=osm_type,
                                 attractiveness=0,
-                                n_tags=len(tags))
+                                n_tags=n_tags)
 
-            # Browse through tags to add information to landmark.
-            for key, value in tags.items():
+            # Extract useful information for score calculation later down the road.
+            landmark.image_url = tags.get('image')
+            landmark.website_url = tags.get('website')
+            landmark.wiki_url = tags.get('wikipedia')
+            landmark.name_en = tags.get('name:en')
 
-                # Skip this landmark if not suitable.
-                if key == 'building:part' and value == 'yes' :
-                    break
-                if 'disused:' in key :
-                    break
-                if 'boundary:' in key :
-                    break
-                if 'shop' in key and landmarktype != 'shopping' :
-                    break
-                # if value == 'apartments' :
-                #     break
-
-                # Fill in the other attributes.
-                if key == 'image' :
-                    landmark.image_url = value
-                if key == 'website' :
-                    landmark.website_url = value
-                if value == 'place_of_worship' :
+            # Check for place of worship
+            if tags.get('place_of_worship') is not None :
                     landmark.is_place_of_worship = True
-                if key == 'wikipedia' :
-                    landmark.wiki_url = value
-                if key == 'name:en' :
-                    landmark.name_en = value
-                if 'building:' in key or 'pay' in key :
-                    landmark.n_tags -= 1
+                    landmark.name_en = tags.get('place_of_worship')
 
+            # Set the duration. Needed for the optimization.
+            if tags.get('amenity') in ['aquarium', 'planetarium'] or tags.get('tourism') in ['aquarium', 'museum', 'zoo']:
+                landmark.duration = 60
+            elif tags.get('tourism') == 'viewpoint' :
+                landmark.is_viewpoint = True
+                landmark.duration = 10
+            elif tags.get('building') == 'cathedral' :
+                landmark.is_place_of_worship = False
+                landmark.duration = 10
 
-                # Set the duration.
-                if value in ['museum', 'aquarium', 'planetarium'] :
-                    landmark.duration = 60
-                elif value == 'viewpoint' :
-                    landmark.is_viewpoint = True
-                    landmark.duration = 10
-                elif value == 'cathedral' :
-                    landmark.is_place_of_worship = False
-                    landmark.duration = 10
-
-            landmark.description, landmark.keywords = self.description_and_keywords(tags)
+            # Compute the score and add landmark to the list.
             self.set_landmark_score(landmark, landmarktype, preference_level)
             landmarks.append(landmark)
 
-            continue
-
-
         return landmarks
 
 
-    def description_and_keywords(self, tags: dict):
-        """
-        Generates a description and a set of keywords for a given landmark based on its tags.
-
-        Params:
-            tags (dict): A dictionary containing metadata about the landmark, including its name,
-                    importance, height, date of construction, and visitor information.
-
-        Returns:
-            description (str): A string description of the landmark.
-            keywords (dict): A dictionary of keywords with fields such as 'importance', 'height',
-                        'place_type', and 'date'.
-        """
-        # Extract relevant fields
-        name = tags.get('name')
-        importance = tags.get('importance', None)
-        n_visitors = tags.get('tourism:visitors', None)
-        height = tags.get('height')
-        place_type = self.get_place_type(tags)
-        date = self.get_date(tags)
-
-        if place_type is None :
-            return None, None
-
-        # Start the description.
-        if importance is None :
-            if len(tags.keys()) < 5 :
-                return None, None
-            if len(tags.keys()) < 10 :
-                description = f"{name} is a well known {place_type}."
-            elif len(tags.keys()) < 17 :
-                importance = 'national'
-                description = f"{name} is a {place_type} of national importance."
-            else :
-                importance = 'international'
-                description = f"{name} is an internationally famous {place_type}."
-        else :
-            description = f"{name} is a {place_type} of {importance} importance."
-
-        if height is not None and date is not None :
-            description += f" This {place_type} was constructed in {date} and is ca. {height} meters high."
-        elif height is not None :
-            description += f" This {place_type} stands ca. {height} meters tall."
-        elif date is not None:
-            description += f" It was constructed in {date}."
-
-        # Format the visitor number
-        if n_visitors is not None :
-            n_visitors = int(n_visitors)
-            if n_visitors < 1000000 :
-                description += f" It welcomes {int(n_visitors/1000)} thousand visitors every year."
-            else :
-                description += f" It welcomes {round(n_visitors/1000000, 1)} million visitors every year."
-
-        # Set the keywords.
-        keywords = {"importance": importance,
-                    "height": height,
-                    "place_type": place_type,
-                    "date": date}
-
-        return description, keywords
-
-
-    def get_place_type(self, data):
-        """
-        Determines the type of the place based on available tags such as 'amenity', 'building',
-        'historic', and 'leisure'. The priority order is: 'historic' > 'building' (if not generic) > 
-        'amenity' > 'leisure'.
-
-        Params:
-            data (dict): A dictionary containing metadata about the place.
-
-        Returns:
-            place_type (str): The determined type of the place, or None if no relevant type is found.
-        """
-        amenity = data.get('amenity', None)
-        building = data.get('building', None)
-        historic = data.get('historic', None)
-        leisure = data.get('leisure')
-
-        if historic and historic != "yes":
-            return historic
-        if building and building not in ["yes", "civic", "government", "apartments", "residential", "commericial", "industrial", "retail", "religious", "public", "service"]:
-            return building
-        if amenity:
-            return amenity
-        if leisure:
-            return leisure
-
-
-        return None
-
-
-    def get_date(self, data):
-        """
-        Extracts the most relevant date from the available tags, prioritizing 'construction_date',
-        'start_date', 'year_of_construction', and 'opening_date' in that order.
-
-        Params:
-            data (dict): A dictionary containing metadata about the place.
-
-        Returns:
-            date (str): The most relevant date found, or None if no date is available.
-        """
-        construction_date = data.get('construction_date', None)
-        opening_date = data.get('opening_date', None)
-        start_date = data.get('start_date', None)
-        year_of_construction = data.get('year_of_construction', None)
-
-        # Prioritize based on availability
-        if construction_date:
-            return construction_date
-        if start_date:
-            return start_date
-        if year_of_construction:
-            return year_of_construction
-        if opening_date:
-            return opening_date
-
-        return None
-
-
 def dict_to_selector_list(d: dict) -> list:
     """
     Convert a dictionary of key-value pairs to a list of Overpass query strings.
diff --git a/backend/src/main.py b/backend/src/main.py
index 791181b..3a946c6 100644
--- a/backend/src/main.py
+++ b/backend/src/main.py
@@ -1,12 +1,13 @@
 """Main app for backend api"""
 import logging
 import time
+import random
 from contextlib import asynccontextmanager
 from fastapi import FastAPI, HTTPException, BackgroundTasks
 
 from .logging_config import configure_logging
 from .structs.landmark import Landmark
-from .structs.preferences import Preferences
+from .structs.preferences import Preferences, Preference
 from .structs.linked_landmarks import LinkedLandmarks
 from .structs.trip import Trip
 from .landmarks.landmarks_manager import LandmarkManager
@@ -140,7 +141,7 @@ def new_trip(preferences: Preferences,
     # 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.debug('Detailed trip :\n\t' + '\n\t'.join(f'{landmark}' for landmark in refined_tour))
+    logger.info('Detailed trip :\n\t' + '\n\t'.join(f'{landmark}' for landmark in refined_tour))
 
     background_tasks.add_task(fill_cache)
 
@@ -224,3 +225,45 @@ def update_trip_time(trip_uuid: str, removed_landmark_uuid: str) -> Trip:
     trip = Trip.from_linked_landmarks(linked_tour, cache_client)
 
     return trip
+
+
+# TODO: get stuff to do nearby. The idea is to have maybe thhe 3 best things to do within 500m and 2 hidden gems. 
+@app.post("/landmarks/get-nearby/{lat}/{lon}")
+def get_landmarks_nearby(lat: float, lon: float) -> list[Landmark] :
+
+    # preferences = {"sightseeing": {"type": "sightseeing", "score": 0},
+    #                         "nature": {"type": "nature", "score": 0},
+    #                         "shopping": {"type": "shopping", "score": 5},
+    #                         "max_time_minute": 30,
+    #                         "detour_tolerance_minute": 0},
+
+    # Find the landmarks around the location
+    _, landmarks_around = manager.generate_landmarks_list(
+        center_coordinates = (lat, lon),
+        preferences = Preferences(
+            sightseeing = Preference(
+                type='sightseeing',
+                score=5
+            ),
+            shopping = Preference(
+                type='shopping',
+                score=2
+            ),
+            nature = Preference(
+                type='nature',
+                score=5
+            ),
+            max_time_minute=30,
+            detour_tolerance_minute=0),
+        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)
+    
+    logger.info('Suggested landmarks :\n\t' + '\n\t'.join(f'{landmark}' for landmark in landmarks_around))
+    return landmarks_around
diff --git a/backend/src/structs/linked_landmarks.py b/backend/src/structs/linked_landmarks.py
index a22f8b8..764d203 100644
--- a/backend/src/structs/linked_landmarks.py
+++ b/backend/src/structs/linked_landmarks.py
@@ -2,6 +2,7 @@
 
 from .landmark import Landmark
 from ..utils.get_time_distance import get_time
+from ..utils.description import description_and_keywords
 
 class LinkedLandmarks:
     """
@@ -35,18 +36,23 @@ class LinkedLandmarks:
         Create the links between the landmarks in the list by setting their 
         .next_uuid and the .time_to_next attributes.
         """
-
         # Mark secondary landmarks as such
         self.update_secondary_landmarks()
 
-
         for i, landmark in enumerate(self._landmarks[:-1]):
+            # Set uuid of the next landmark
             landmark.next_uuid = self._landmarks[i + 1].uuid
+
+            # Adjust time to reach and total time
             time_to_next = get_time(landmark.location, self._landmarks[i + 1].location)
             landmark.time_to_reach_next = time_to_next
             self.total_time += time_to_next
             self.total_time += landmark.duration
 
+            # Fill in the keywords and description. GOOD IDEA, BAD EXECUTION, tags aren't available anymore at this stage
+            # landmark.description, landmark.keywords = description_and_keywords(tags)
+
+
         self._landmarks[-1].next_uuid = None
         self._landmarks[-1].time_to_reach_next = 0
 
diff --git a/backend/src/structs/proto_landmark.py b/backend/src/structs/proto_landmark.py
new file mode 100644
index 0000000..d09308a
--- /dev/null
+++ b/backend/src/structs/proto_landmark.py
@@ -0,0 +1,16 @@
+from typing import Optional
+from uuid import uuid4, UUID
+from pydantic import BaseModel, Field
+
+# Output to frontend
+class ProtoLandmark(BaseModel) :
+    """fef"""
+
+    uuid: UUID = Field(default_factory=uuid4)
+
+    location : tuple
+    attractiveness : int
+    duration : Optional[int] = 5
+
+    must_do : Optional[bool] = False
+    must_avoid : Optional[bool] = False
\ No newline at end of file
diff --git a/backend/src/tests/test_nearby.py b/backend/src/tests/test_nearby.py
new file mode 100644
index 0000000..7558583
--- /dev/null
+++ b/backend/src/tests/test_nearby.py
@@ -0,0 +1,38 @@
+"""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
+    ]
+)
+def test_nearby(client, location, status_code):    # pylint: disable=redefined-outer-name
+    """
+    Test n°1 : Verify handling of invalid input.
+
+    Args:
+        client:
+        request:
+    """
+    response = client.post(f"/landmarks/get-nearby/{location[0]}/{location[1]}")
+    print(response)
+    print(response.json())
+    suggestions = response.json()
+
+    # checks :
+    assert response.status_code == status_code  # check for successful planning
+    assert isinstance(suggestions, list)  # check that the return type is a list
+    assert len(suggestions) > 0
diff --git a/backend/src/utils/description.py b/backend/src/utils/description.py
new file mode 100644
index 0000000..d8c644c
--- /dev/null
+++ b/backend/src/utils/description.py
@@ -0,0 +1,123 @@
+"""Add more information about the landmarks by writing a short description and keywords. """
+
+
+def description_and_keywords(tags: dict):
+    """
+    Generates a description and a set of keywords for a given landmark based on its tags.
+
+    Params:
+        tags (dict): A dictionary containing metadata about the landmark, including its name,
+                importance, height, date of construction, and visitor information.
+
+    Returns:
+        description (str): A string description of the landmark.
+        keywords (dict): A dictionary of keywords with fields such as 'importance', 'height',
+                    'place_type', and 'date'.
+    """
+    # Extract relevant fields
+    name = tags.get('name')
+    importance = tags.get('importance', None)
+    n_visitors = tags.get('tourism:visitors', None)
+    height = tags.get('height')
+    place_type = get_place_type(tags)
+    date = get_date(tags)
+
+    if place_type is None :
+        return None, None
+
+    # Start the description.
+    if importance is None :
+        if len(tags.keys()) < 5 :
+            return None, None
+        if len(tags.keys()) < 10 :
+            description = f"{name} is a well known {place_type}."
+        elif len(tags.keys()) < 17 :
+            importance = 'national'
+            description = f"{name} is a {place_type} of national importance."
+        else :
+            importance = 'international'
+            description = f"{name} is an internationally famous {place_type}."
+    else :
+        description = f"{name} is a {place_type} of {importance} importance."
+
+    if height is not None and date is not None :
+        description += f" This {place_type} was constructed in {date} and is ca. {height} meters high."
+    elif height is not None :
+        description += f" This {place_type} stands ca. {height} meters tall."
+    elif date is not None:
+        description += f" It was constructed in {date}."
+
+    # Format the visitor number
+    if n_visitors is not None :
+        n_visitors = int(n_visitors)
+        if n_visitors < 1000000 :
+            description += f" It welcomes {int(n_visitors/1000)} thousand visitors every year."
+        else :
+            description += f" It welcomes {round(n_visitors/1000000, 1)} million visitors every year."
+
+    # Set the keywords.
+    keywords = {"importance": importance,
+                "height": height,
+                "place_type": place_type,
+                "date": date}
+
+    return description, keywords
+
+
+def get_place_type(tags):
+    """
+    Determines the type of the place based on available tags such as 'amenity', 'building',
+    'historic', and 'leisure'. The priority order is: 'historic' > 'building' (if not generic) > 
+    'amenity' > 'leisure'.
+
+    Params:
+        tags (dict): A dictionary containing metadata about the place.
+
+    Returns:
+        place_type (str): The determined type of the place, or None if no relevant type is found.
+    """
+    amenity = tags.get('amenity', None)
+    building = tags.get('building', None)
+    historic = tags.get('historic', None)
+    leisure = tags.get('leisure')
+
+    if historic and historic != "yes":
+        return historic
+    if building and building not in ["yes", "civic", "government", "apartments", "residential", "commericial", "industrial", "retail", "religious", "public", "service"]:
+        return building
+    if amenity:
+        return amenity
+    if leisure:
+        return leisure
+
+
+    return None
+
+
+def get_date(tags):
+    """
+    Extracts the most relevant date from the available tags, prioritizing 'construction_date',
+    'start_date', 'year_of_construction', and 'opening_date' in that order.
+
+    Params:
+        tags (dict): A dictionary containing metadata about the place.
+
+    Returns:
+        date (str): The most relevant date found, or None if no date is available.
+    """
+    construction_date = tags.get('construction_date', None)
+    opening_date = tags.get('opening_date', None)
+    start_date = tags.get('start_date', None)
+    year_of_construction = tags.get('year_of_construction', None)
+
+    # Prioritize based on availability
+    if construction_date:
+        return construction_date
+    if start_date:
+        return start_date
+    if year_of_construction:
+        return year_of_construction
+    if opening_date:
+        return opening_date
+
+    return None
\ No newline at end of file
