diff --git a/backend/.pylintrc b/backend/.pylintrc
index eabcaa6..a054d18 100644
--- a/backend/.pylintrc
+++ b/backend/.pylintrc
@@ -445,7 +445,9 @@ disable=raw-checker-failed,
         logging-fstring-interpolation,
         duplicate-code,
         relative-beyond-top-level, 
-        invalid-name
+        invalid-name,
+        too-many-arguments,
+        too-many-positional-arguments
 
 # Enable the message, report, category or checker with the given id(s). You can
 # either give multiple identifier separated by comma (,) or put this option
diff --git a/backend/report.html b/backend/report.html
index 2971513..c39425b 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 28-Jan-2025 at 08:25:09 by <a href="https://pypi.python.org/pypi/pytest-html">pytest-html</a>
+    <p>Report generated on 28-Jan-2025 at 11:49:54 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">25 tests took 00:00:31.</p>
+        <p class="run-count">8 tests took 00:05:36.</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()">
@@ -392,10 +392,10 @@ 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">7 Failed,</span>
             <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="passed" />
-            <span class="passed">25 Passed,</span>
+            <span class="passed">1 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>
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&#34;&lt;td class=\&#34;col-duration\&#34;&gt;62 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     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 -------------------------------\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;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 -------------------------------\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;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 -------------------------------\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;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 -------------------------------\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;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 -------------------------------\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;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 -------------------------------\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 -------------------------------\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_turckheim&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_turckheim&#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_turckheim&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 6 - H\u00f4tel des Deux-Clefs (217 | 5) - 1 - H\u00f4tel de ville (238 | 5) - 6 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;23 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;20 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;136 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 25 landmarks in  \t: 0.005 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 0 times, objective value : 455\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 0 times, objective value : 455\nINFO     src.main:main.py:131 Total computation time\t: 0.127 seconds\nINFO     src.main:main.py:136 Generated a trip of 23 minutes with 4 landmarks in 0.132 seconds.\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_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) - 5 - H\u00f4tel de l&#39;Europe (217 | 5) - 4 - Palais archi\u00e9piscopal (217 | 5) - 1 - Cath\u00e9drale Saint-Jean (347 | 10) - 5 - Neighborhood (360 | 15) - 2 - Temple du Change (406 | 5) - 8 - Basilique de Fourvi\u00e8re (324 | 5) - 10 - \u00c9glise Saint-Georges (461 | 5) - 3 - Grande Synagogue de Lyon (217 | 5) - 10 - \u00c9glise Saint-Just (460 | 5) - 17 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;125 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;120 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:06&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 625 landmarks in  \t: 2.566 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 2 times, objective value : 3932\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 9 times, objective value : 3009\nINFO     src.main:main.py:131 Total computation time\t: 3.313 seconds\nINFO     src.main:main.py:136 Generated a trip of 125 minutes with 11 landmarks in 5.879 seconds.\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_main.py::test_cologne&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_cologne&#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_cologne&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 2 - St. Mari\u00e4 Himmelfahrt (455 | 5) - 2 - Excelsior Hotel Ernst (793 | 5) - 2 - St.Andreas (632 | 5) - 4 - K\u00f6lner Dom (1474 | 10) - 2 - R\u00f6misch-Germanisches Museum (901 | 60) - 5 - Gro\u00df St. Martin (582 | 5) - 9 - St. Maria im Kapitol (633 | 5) - 4 - Trinitatiskirche (604 | 5) - 11 - AntoniterCityKirche (546 | 5) - 2 - Au\u00dfenspielst\u00e4tte am Offenbachplatz (461 | 5) - 2 - Oper der Stadt K\u00f6ln (601 | 5) - 3 - Galeria (531 | 30) - 4 - St. Maria in der Kupfergasse (518 | 5) - 9 - St. Gereon (1059 | 5) - 22 - St. Kunibert (691 | 5) - 10 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;253 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:03&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 498 landmarks in  \t: 0.038 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 2 times, objective value : 9217\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 8 times, objective value : 10481\nINFO     src.main:main.py:131 Total computation time\t: 2.905 seconds\nINFO     src.main:main.py:136 Generated a trip of 253 minutes with 17 landmarks in 2.942 seconds.\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_main.py::test_strasbourg&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_strasbourg&#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_strasbourg&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 7 - Monument du G\u00e9n\u00e9ral Kl\u00e9ber (176 | 5) - 1 - Aubette (347 | 30) - 3 - \u00c9glise protestante Saint-Pierre-le-Jeune (347 | 5) - 2 - Foss\u00e9 du Faux-Rempart (197 | 5) - 4 - H\u00f4tel de Ville (295 | 5) - 5 - Cath\u00e9drale Notre-Dame (728 | 10) - 4 - Temple Neuf (176 | 5) - 1 - Grande \u00cele (259 | 5) - 8 - Pont Saint-Nicolas (217 | 5) - 4 - Porte de l&#39;H\u00f4pital (207 | 5) - 3 - \u00c9glise Saint-Nicolas (303 | 5) - 4 - \u00c9glise protestante Saint-Thomas (303 | 5) - 2 - Circuit \u00ab Petite France \u00bb (414 | 5) - 7 - Tour des Fran\u00e7ais (174 | 5) - 2 - Barrage Vauban (391 | 5) - 4 - Tour du Bourreau (157 | 5) - 6 - \u00c9glise Catholique Saint-Jean-Baptiste (281 | 5) - 1 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;183 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:06&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 289 landmarks in  \t: 0.019 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 12 times, objective value : 4073\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 4 times, objective value : 4972\nINFO     src.main:main.py:131 Total computation time\t: 6.308 seconds\nINFO     src.main:main.py:136 Generated a trip of 183 minutes with 19 landmarks in 6.327 seconds.\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_main.py::test_zurich&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_zurich&#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_zurich&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 11 - Predigerkirche (351 | 5) - 2 - Anlage Z\u00fcrich (174 | 5) - 9 - Liebfrauenkirche (281 | 5) - 10 - Friedenskirche (207 | 5) - 9 - Grossm\u00fcnster (483 | 5) - 1 - Wasserkirche (238 | 5) - 7 - Rebekkabrunnen (174 | 5) - 5 - Stadthaus (191 | 5) - 1 - Fraum\u00fcnster (531 | 5) - 3 - St. Peter (489 | 5) - 2 - Augustinerkirche (238 | 5) - 6 - Synagoge ICZ L\u00f6wenstrasse (207 | 5) - 6 - Globus (369 | 30) - 5 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;167 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:06&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 218 landmarks in  \t: 0.016 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 9 times, objective value : 4000\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 7 times, objective value : 3933\nINFO     src.main:main.py:131 Total computation time\t: 6.258 seconds\nINFO     src.main:main.py:136 Generated a trip of 167 minutes with 15 landmarks in 6.274 seconds.\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_main.py::test_paris&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#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;Passed&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) - 15 - Pyramide du Louvre (557 | 5) - 1 - Palais du Louvre (891 | 5) - 6 - Temple de l&#39;Oratoire du Louvre (840 | 5) - 10 - Basilique Notre-Dame-des-Victoires (575 | 5) - 15 - La Samaritaine (416 | 5) - 7 - Fontaine du Palmier (333 | 5) - 11 - \u00c9glise Saint-Leu - Saint-Gilles (546 | 5) - 13 - \u00c9glise Notre-Dame-de-Bonne-Nouvelle (414 | 5) - 18 - Centre Georges Pompidou (1118 | 5) - 7 - Tour Saint-Jacques (793 | 5) - 10 - Cath\u00e9drale Notre-Dame de Paris (1469 | 10) - 9 - Palais de Justice de Paris (531 | 5) - 3 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;190 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;200 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:06&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 707 landmarks in  \t: 0.059 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 7 times, objective value : 9852\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 10 times, objective value : 8483\nINFO     src.main:main.py:131 Total computation time\t: 5.803 seconds\nINFO     src.main:main.py:136 Generated a trip of 190 minutes with 14 landmarks in 5.861 seconds.\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_main.py::test_new_york&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_new_york&#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_new_york&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 7 - New Museum (406 | 60) - 8 - Capitale (810 | 5) - 9 - Saint Patrick&#39;s Old Cathedral (489 | 10) - 9 - Merchant&#39;s House Museum (378 | 60) - 9 - Grace Church (518 | 5) - 7 - Union Square Park (646 | 5) - 10 - Flatiron Building (780 | 5) - 5 - Cathedral of St. Sava (518 | 10) - 11 - Church of St. John the Baptist (406 | 5) - 3 - Madison Square Garden (691 | 5) - 9 - Herald Square (454 | 5) - 5 - Empire State Building (901 | 5) - 27 - United Nations Headquarters (993 | 5) - 14 - St. Vartan Cathedral (461 | 5) - 20 - Madison Square Park (646 | 5) - 7 - Calvary Church (461 | 5) - 11 - Stuyvesant Square (381 | 5) - 6 - Immaculate Conception Church (546 | 5) - 35 - Marsha P. Johnson State Park (765 | 5) - 33 - St. Nicholas of Myra Orthodox Church (546 | 5) - 11 - St. George&#39;s Church (391 | 5) - 6 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;487 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;600 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:02&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 544 landmarks in  \t: 0.03 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 6 times, objective value : 7650\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 5 times, objective value : 12187\nINFO     src.main:main.py:131 Total computation time\t: 2.362 seconds\nINFO     src.main:main.py:136 Generated a trip of 487 minutes with 23 landmarks in 2.392 seconds.\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_main.py::test_shopping&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_shopping&#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_shopping&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 5 - Grand H\u00f4tel-Dieu (546 | 30) - 8 - Shopping Area (538 | 40) - 4 - Grand Bazar (93 | 30) - 20 - Halles de Lyon Paul Bocuse (272 | 30) - 6 - Muji (259 | 30) - 2 - Westfield La Part-Dieu (546 | 30) - 32 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;267 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;354 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nINFO     src.main:main.py:103 Fetched 12 landmarks in  \t: 0.008 seconds\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 2 times, objective value : 2451\nINFO     src.optimization.optimizer:optimizer.py:626 Re-optimized 3 times, objective value : 2254\nINFO     src.main:main.py:131 Total computation time\t: 0.341 seconds\nINFO     src.main:main.py:136 Generated a trip of 267 minutes with 8 landmarks in 0.349 seconds.\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 -------------------------------\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;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 -------------------------------\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 -------------------------------\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;210 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     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;123 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     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;119 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     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;281 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     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;116 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     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;119 ms&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-links\&#34;&gt;&lt;/td&gt;&#34;], &#34;log&#34;: &#34;------------------------------ Captured log call -------------------------------\nINFO     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-6.8.0-51-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_turckheim&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Passed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_turckheim&#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_turckheim&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 6 - H\u00f4tel de ville (238 | 5) - 1 - H\u00f4tel des Deux-Clefs (217 | 5) - 6 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;23 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;20 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;250 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     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:88 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 20 landmarks of type sightseeing in (48.079458619727674, 7.272726663391359, 48.08971738027232, 7.288083336608641)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:91 Found 20 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nINFO     src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:100 Fetching nature landmarks...\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 24 landmarks of type nature in (48.079458619727674, 7.272726663391359, 48.08971738027232, 7.288083336608641)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:103 Found 24 nature landmarks\nINFO     src.main:main.py:103 Fetched 25 landmarks in  \t: 0.008 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 0 times, objective value : 455\nDEBUG    src.optimization.refiner:refiner.py:345 Using 5 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 0 times, objective value : 455\nDEBUG    src.main:main.py:129 First stage optimization\t: 0.108 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 0.034 seconds\nINFO     src.main:main.py:131 Total computation time\t: 0.142 seconds\nINFO     src.main:main.py:136 Generated a trip of 23 minutes with 4 landmarks in 0.15 seconds.\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_main.py::test_bellecour&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#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;Failed&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 (217 | 5) - 3 - \u00c9glise Saint-Georges (461 | 5) - 7 - Cath\u00e9drale Saint-Jean (347 | 10) - 7 - Basilique de Fourvi\u00e8re (324 | 5) - 10 - \u00c9glise Saint-Paul (238 | 5) - 4 - Temple du Change (406 | 5) - 8 - \u00c9glise Saint-Nizier (351 | 5) - 9 - Neighborhood (360 | 15) - 9 - H\u00f4tel de l&#39;Europe (217 | 5) - 5 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;129 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;120 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:58&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 0x75b14f4fe9f0&amp;gt;\nrequest = &amp;lt;FixtureRequest for &amp;lt;Function test_bellecour&amp;gt;&amp;gt;\n\n    def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b02 : Custom test in Lyon 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 = 120\n    \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;: [45.7576485, 4.8330241]\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: 57.99 seconds\nE       assert 57.98668646812439 &amp;lt; 30\n\nsrc/tests/test_main.py:97: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:88 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[historic](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[building=cathedral](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 163 landmarks of type sightseeing in (45.73968219431761, 4.807273148692414, 45.775614805682395, 4.858775051307586)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:91 Found 163 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 3 different sightseeing clusters.\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75425587604769,4.8147251119603816,45.77222218173008,4.8404786435951745);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75425587604769,4.8147251119603816,45.77222218173008,4.8404786435951745);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75425587604769,4.8147251119603816,45.77222218173008,4.8404786435951745););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75064422278907,4.806348064350125,45.76861052847146,4.832099928927187);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75064422278907,4.806348064350125,45.76861052847146,4.832099928927187);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75064422278907,4.806348064350125,45.76861052847146,4.832099928927187););out ids center;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:100 Fetching nature landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[leisure=park](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[leisure=park](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[geological](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[geological](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 96 landmarks of type nature in (45.73968219431761, 4.807273148692414, 45.775614805682395, 4.858775051307586)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:103 Found 96 nature landmarks\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 10 landmarks of type shopping in (45.73968219431761, 4.807273148692414, 45.775614805682395, 4.858775051307586)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:110 Found 10 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581););out ids center;\nINFO     src.main:main.py:103 Fetched 240 landmarks in  \t: 12.209 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 7 times, objective value : 3717\nDEBUG    src.optimization.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 9 times, objective value : 2921\nDEBUG    src.main:main.py:129 First stage optimization\t: 5.076 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 2.161 seconds\nINFO     src.main:main.py:131 Total computation time\t: 7.237 seconds\nINFO     src.main:main.py:136 Generated a trip of 129 minutes with 11 landmarks in 19.446 seconds.\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for f91b26a616b618bb25093f5b303ece8f\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 50d0dc9e70fd9e3c0a286fc359355946\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for dc7b2ed764a2e568a95aa425b254b3a3\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 3125bb53b235f404e6a91c156cfdebd9\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 2a51e0111ddf1f97b5a09b1595122878\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 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http://testserver/trip/new &amp;quot;HTTP/1.1 200 OK&amp;quot;\n\n&#34;}], &#34;src/tests/test_main.py::test_cologne&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_cologne&#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_cologne&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 10 - St. Kunibert (691 | 5) - 17 - K\u00f6ln Triangle (765 | 10) - 16 - R\u00f6misch-Germanisches Museum (901 | 60) - 2 - K\u00f6lner Dom (1474 | 10) - 13 - St. Maria im Kapitol (633 | 5) - 4 - Trinitatiskirche (604 | 5) - 2 - St. Maria Lyskirchen (662 | 5) - 7 - St. Georg (460 | 5) - 6 - Wasserturm Hotel Cologne (696 | 5) - 5 - St. Peter (538 | 5) - 1 - St. C\u00e4cilien (546 | 5) - 5 - Schauspielhaus K\u00f6ln (477 | 5) - 5 - Kreissparkasse K\u00f6ln (696 | 5) - 2 - St. Aposteln (825 | 5) - 13 - St. Gereon (1059 | 5) - 10 - Galeria (531 | 30) - 4 - St. Maria in der Kupfergasse (518 | 5) - 4 - Oper der Stadt K\u00f6ln (601 | 5) - 9 - St.Andreas (632 | 5) - 2 - Excelsior Hotel Ernst (793 | 5) - 2 - St. Mari\u00e4 Himmelfahrt (455 | 5) - 2 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;336 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:01:21&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 0x75b14f4fe9f0&amp;gt;\nrequest = &amp;lt;FixtureRequest for &amp;lt;Function test_cologne&amp;gt;&amp;gt;\n\n    def test_cologne(client, request) :   # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b03 : Custom test in Cologne 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 = 240\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;: [50.942352665, 6.957777972392]\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: 80.70 seconds\nE       assert 80.70358157157898 &amp;lt; 30\n\nsrc/tests/test_main.py:137: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:88 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[historic](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[building=cathedral](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 274 landmarks of type sightseeing in (50.92438635931761, 6.929264642708961, 50.960318970682394, 6.986291302075039)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:91 Found 274 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:100 Fetching nature landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[leisure=park](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[leisure=park](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[geological](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[geological](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 58 landmarks of type nature in (50.92438635931761, 6.929264642708961, 50.960318970682394, 6.986291302075039)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:103 Found 58 nature landmarks\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 4 landmarks of type shopping in (50.92438635931761, 6.929264642708961, 50.960318970682394, 6.986291302075039)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:110 Found 4 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 4 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909););out ids center;\nINFO     src.main:main.py:103 Fetched 267 landmarks in  \t: 12.403 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 2 times, objective value : 9168\nDEBUG    src.optimization.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 1 times, objective value : 14557\nDEBUG    src.main:main.py:129 First stage optimization\t: 1.069 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 0.296 seconds\nINFO     src.main:main.py:131 Total computation time\t: 1.365 seconds\nINFO     src.main:main.py:136 Generated a trip of 336 minutes with 23 landmarks in 13.768 seconds.\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for b69424cd2db112915e4463700fba36c1\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for c18b4bd08e7914d762f03bdbae8dfb4b\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 86e8746446c894246a9abefaae26ab44\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for a43a80a0fed6ffcb70267231f663b7de\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for b3bf98c041d15d9606149ccf12c456ef\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 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src.overpass.overpass:overpass.py:111 Cache set for 145242596aa8326e004b49b10a12acc9\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 4d490f2597ecb32c68560754e537fe06\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 60f22b32af92d0fedc0ec169c7a763d8\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 34a10341d21159183237f8bb588a5397\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 17a575046fd8a86fba1c029c46a7bf43\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for dbdce1389b77cece14917468c05090e4\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_main.py::test_strasbourg&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_strasbourg&#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_strasbourg&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 7 - Monument du G\u00e9n\u00e9ral Kl\u00e9ber (176 | 5) - 1 - Aubette (347 | 30) - 3 - \u00c9glise protestante Saint-Pierre-le-Jeune (347 | 5) - 6 - \u00c9glise catholique Saint-Pierre-le-Jeune (197 | 5) - 5 - Palais du Rhin (529 | 5) - 6 - De la Grande \u00eele \u00e0 la Neustadt (414 | 5) - 4 - H\u00f4tel de Ville (295 | 5) - 5 - Cath\u00e9drale Notre-Dame (728 | 10) - 5 - Grande \u00cele (259 | 5) - 7 - \u00c9glise protestante Saint-Thomas (303 | 5) - 2 - Circuit \u00ab Petite France \u00bb (414 | 5) - 9 - Barrage Vauban (391 | 5) - 10 - \u00c9glise Catholique Saint-Jean-Baptiste (281 | 5) - 1 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;166 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:55&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 0x75b14f4fe9f0&amp;gt;\nrequest = &amp;lt;FixtureRequest for &amp;lt;Function test_strasbourg&amp;gt;&amp;gt;\n\n    def test_strasbourg(client, request) :   # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b04 : Custom test in Strasbourg 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 = 180\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;: [48.5846589226, 7.74078715721]\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: 55.30 seconds\nE       assert 55.295562744140625 &amp;lt; 30\n\nsrc/tests/test_main.py:178: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:88 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[historic](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[building=cathedral](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 76 landmarks of type sightseeing in (48.56669261691761, 7.713627729924946, 48.60262522828239, 7.7679465844950535)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:91 Found 76 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:100 Fetching nature landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[leisure=park](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[leisure=park](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[geological](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[geological](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 119 landmarks of type nature in (48.56669261691761, 7.713627729924946, 48.60262522828239, 7.7679465844950535)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:103 Found 119 nature landmarks\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 3 landmarks of type shopping in (48.56669261691761, 7.713627729924946, 48.60262522828239, 7.7679465844950535)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:110 Found 3 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 2 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238););out ids center;\nINFO     src.main:main.py:103 Fetched 137 landmarks in  \t: 8.59 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 5 times, objective value : 4514\nDEBUG    src.optimization.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 7 times, objective value : 4681\nDEBUG    src.main:main.py:129 First stage optimization\t: 2.477 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 1.398 seconds\nINFO     src.main:main.py:131 Total computation time\t: 3.875 seconds\nINFO     src.main:main.py:136 Generated a trip of 166 minutes with 15 landmarks in 12.465 seconds.\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 031c8d994624070cc498421dece0eefe\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 5a51635525095aef8f8c341d06e8b667\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 40b0b122f717edc9044381811a8b0917\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 6aca70df6359e6b7643227f6c36c4512\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 763503ca7e4606fea3d567883ff470a5\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 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src.overpass.overpass:overpass.py:111 Cache set for 1f775c61260fb3533e4ba4876ba1ca89\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for a5d4a1043144ffa0f2d7313c0caf2924\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 206e739327c5e9aa485abc4f48c1ed11\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for e489799dae749a137436c9deb2a4facd\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for a68a12ae3072c82b94b13f43086c6bad\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 66dc74edbbde76b433f6f400fe1dd543\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_main.py::test_zurich&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_zurich&#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_zurich&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 8 - Liebfrauenkirche (281 | 5) - 6 - Russisch-Orthodoxe Auferstehungskirche (369 | 5) - 15 - Friedenskirche (207 | 5) - 2 - Predigerkirche (351 | 5) - 12 - Methodisten-Kirche (174 | 5) - 9 - Grossm\u00fcnster (483 | 5) - 1 - Helmhaus (406 | 60) - 3 - Fraum\u00fcnster (531 | 5) - 3 - St. Peter (489 | 5) - 8 - Jelmoli (303 | 30) - 8 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;205 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;180 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:42&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 0x75b14f4fe9f0&amp;gt;\nrequest = &amp;lt;FixtureRequest for &amp;lt;Function test_zurich&amp;gt;&amp;gt;\n\n    def test_zurich(client, request) :   # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b05 : Custom test in Zurich 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 = 180\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;: [47.377884227, 8.5395114066]\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: 41.97 seconds\nE       assert 41.97261595726013 &amp;lt; 30\n\nsrc/tests/test_main.py:219: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:88 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[historic](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[building=cathedral](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 83 landmarks of type sightseeing in (47.35991792131761, 8.512979561217715, 47.395850532682395, 8.566043251982286)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:91 Found 83 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:100 Fetching nature landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[leisure=park](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[leisure=park](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[geological](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[geological](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 71 landmarks of type nature in (47.35991792131761, 8.512979561217715, 47.395850532682395, 8.566043251982286)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:103 Found 71 nature landmarks\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 4 landmarks of type shopping in (47.35991792131761, 8.512979561217715, 47.395850532682395, 8.566043251982286)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:110 Found 4 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 3 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925););out ids center;\nINFO     src.main:main.py:103 Fetched 152 landmarks in  \t: 10.116 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 19 times, objective value : 3573\nDEBUG    src.optimization.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 8 times, objective value : 3594\nDEBUG    src.main:main.py:129 First stage optimization\t: 9.236 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 1.704 seconds\nINFO     src.main:main.py:131 Total computation time\t: 10.94 seconds\nINFO     src.main:main.py:136 Generated a trip of 205 minutes with 12 landmarks in 21.057 seconds.\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for d9eac3b40ac73f3234cf0d3557162e52\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for c278aa1e91090024b53eace74ec9b63f\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 156ef5b27c837bf7f6cfe093e36fac08\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 6656c1f78a27c8ba3a5bcdd807403586\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 3d752b332b24dc342c80aa3e48422efa\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 0a12a1b2993befa076a785d2c8f88842\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for e8bfcb95fca4b50dda2eb905ba2ddc12\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 9d019c5e31ebd23ffdf9568cac17622b\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 751be1477e9f1bb4f00322d77dcff733\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 9f31f26927b844fb2434831a3e640b4a\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for a8f2af37ccc8a1124ffbde22e4422f88\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for a4f030757fa65342b7bf0bdcf52677d0\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 90b9dd1b8d995b3b7146e9db33ef464e\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 4b787091c991f8528a159d588846b67f\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 11869858e9d23d49385fb8c5521e5156\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 91e80234651db384bca9fd2924ce4e1f\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 478da09e61ebb99e76f508d36257eecb\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 357cb96df09bdee5e3b7eb653b6d5d16\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 77febdf40603fe02247c28eff4b796e1\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 6dc5df5f8cbcbc7a4c13bb003d2b62ae\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 20c6f76dfbe9c447ed9e91bcea4f91c9\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 94aa3007d1ff722cb6386ef03901fa5b\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 58aca4025a568d3b613c9fa1f63be661\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for c0f37462e6d5c1156cf20b7d8f82c8ab\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for a8cfa6b5b82fb09dd2ea416eaad869cc\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 741aa6bd0ab3484ec6f71806a72c7a6a\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 96a9b9bbc500ac8cf1678285d42a1d80\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for c9893a4db2a150097901b7b1b05edfc6\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for bc150eaa646543a6df5653fefdc15ba9\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 8cd94ac7827137f941bde775eddd6749\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 50dbe7a23cc7d99ffa5f79a81e30fff4\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 3df0d210a42b209ec68dca1030adaf56\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 017a59c093fe60edac958b8ffa4f02c0\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 674c21f13e873d94d92dc6d18a232ec0\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_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 (662 | 5) - 8 - Pyramide du Louvre (557 | 5) - 3 - Tunnel des Tuileries (506 | 5) - 18 - \u00c9glise Notre-Dame-de-l&#39;Assomption (575 | 5) - 10 - \u00c9glise Saint-Roch (633 | 5) - 8 - Palais du Louvre (891 | 5) - 6 - Temple de l&#39;Oratoire du Louvre (840 | 5) - 10 - Basilique Notre-Dame-des-Victoires (575 | 5) - 15 - La Samaritaine (416 | 5) - 8 - Palais de Justice de Paris (531 | 5) - 7 - Tour Saint-Jacques (793 | 5) - 10 - \u00c9glise Saint-Leu - Saint-Gilles (546 | 5) - 6 - Centre Georges Pompidou (1118 | 5) - 3 - \u00c9glise Saint-Merri (529 | 5) - 14 - M\u00e9morial des Martyrs de la D\u00e9portation (624 | 5) - 4 - Cath\u00e9drale Notre-Dame de Paris (1469 | 10) - 6 - \u00c9glise Saint-S\u00e9verin (437 | 5) - 7 - Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne - Centre Sorbonne (406 | 5) - 12 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;259 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;200 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:52&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 0x75b14f4fe9f0&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: 51.51 seconds\nE       assert 51.511590003967285 &amp;lt; 30\n\nsrc/tests/test_main.py:260: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:88 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(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:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(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:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(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:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(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:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(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:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(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;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 419 landmarks of type sightseeing in (48.83672251230432, 2.3150869554078004, 48.872655123669105, 2.3696981957918744)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:91 Found 419 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 10 landmarks of type shopping in (48.83672251230432, 2.3150869554078004, 48.872655123669105, 2.3696981957918744)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:110 Found 10 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 17 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143););out ids center;\nINFO     src.main:main.py:103 Fetched 366 landmarks in  \t: 13.396 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 14 times, objective value : 8772\nDEBUG    src.optimization.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 2 times, objective value : 12108\nDEBUG    src.main:main.py:129 First stage optimization\t: 6.926 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 0.557 seconds\nINFO     src.main:main.py:131 Total computation time\t: 7.484 seconds\nINFO     src.main:main.py:136 Generated a trip of 259 minutes with 20 landmarks in 20.88 seconds.\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 78351b124204bc03e1ef90607268f93f\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for ad4dc4da03822ac79868bcfba3d45c79\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for f4d32ee9aef9ab0e8fc99189f62eb335\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for e948371ee73e26513b31196a39024ad9\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 64718cf4b830c17ce59614fb2516d113\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 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src.overpass.overpass:overpass.py:111 Cache set for 64b1af12be350f7fba57d89055462253\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 10ea1df16aafbd4f2c077e0d936b5773\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 0192977825ad85074fdb26005a6950d0\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 57f529fd05034522c841da34c8cc433e\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 642067051f13007c46bd092a5ade5caf\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 2b34766c9639bc208e3269b8380e56e3\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for b8ae0a66097bf25e5d9e07dcedef9fa3\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_main.py::test_new_york&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_new_york&#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_new_york&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 7 - Saint Patrick&#39;s Old Cathedral (489 | 10) - 9 - Capitale (810 | 5) - 9 - Museum at Eldridge Street (604 | 60) - 4 - First Chinese Presbyterian Church (461 | 5) - 9 - Columbus Park (646 | 5) - 4 - Collect Pond Park (485 | 5) - 15 - Washington Market Park (530 | 5) - 12 - Saint Paul&#39;s Chapel (575 | 5) - 5 - John Street Methodist Church (575 | 5) - 6 - Trinity Church (721 | 5) - 7 - 9/11 Memorial &amp; Museum (750 | 60) - 3 - One World Trade Center (840 | 5) - 15 - USCGC LILAC (575 | 5) - 13 - Duarte Square (685 | 5) - 11 - St. Anthony of Padua Church (489 | 5) - 7 - Judson Memorial Church (518 | 5) - 16 - Union Square Park (646 | 5) - 10 - Flatiron Building (780 | 5) - 5 - Cathedral of St. Sava (518 | 10) - 4 - Madison Square Park (646 | 5) - 23 - Saint Mark&#39;s in-the-Bowery (633 | 5) - 11 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;430 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;600 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:47&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 0x75b14f4fe9f0&amp;gt;\nrequest = &amp;lt;FixtureRequest for &amp;lt;Function test_new_york&amp;gt;&amp;gt;\n\n    def test_new_york(client, request) :   # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b07 : Custom test in New York 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 = 600\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;: [40.72592726802, -73.9920434795]\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: 46.87 seconds\nE       assert 46.874966621398926 &amp;lt; 30\n\nsrc/tests/test_main.py:301: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:88 Fetching sightseeing landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[tourism~&amp;quot;^(museum|attraction|gallery|artwork|aquarium)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[historic](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[amenity~&amp;quot;^(planetarium|place_of_worship|fountain|townhall)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[water=reflecting_pool](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[bridge~&amp;quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[building=cathedral](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 141 landmarks of type sightseeing in (40.70796096233761, -74.01575075976561, 40.743893573702394, -73.96833619923439)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:91 Found 141 sightseeing landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&amp;quot;historic&amp;quot;~&amp;quot;^(monument|building|yes)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:100 Fetching nature landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[leisure=park](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[leisure=park](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[geological](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[geological](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[natural~&amp;quot;^(geyser|hot_spring|arch|volcano|stone)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);node[tourism~&amp;quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[water~&amp;quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[waterway~&amp;quot;^(waterfall|river|canal|dam|dock|boatyard)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 137 landmarks of type nature in (40.70796096233761, -74.01575075976561, 40.743893573702394, -73.96833619923439)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:103 Found 137 nature landmarks\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[shop~&amp;quot;^(department_store|mall)$&amp;quot;](if: count_tags()&amp;gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 4 landmarks of type shopping in (40.70796096233761, -74.01575075976561, 40.743893573702394, -73.96833619923439)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:110 Found 4 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;~&amp;quot;^(bag|boutique|clothes)$&amp;quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center;\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);way[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);relation[&amp;quot;place&amp;quot;~&amp;quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&amp;quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428););out ids center;\nDEBUG    src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);way[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);relation[&amp;quot;shop&amp;quot;=&amp;quot;mall&amp;quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428););out ids center;\nINFO     src.main:main.py:103 Fetched 275 landmarks in  \t: 21.474 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 6 times, objective value : 6905\nDEBUG    src.optimization.refiner:refiner.py:345 Using 15 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 2 times, objective value : 12976\nDEBUG    src.main:main.py:129 First stage optimization\t: 2.554 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 0.223 seconds\nINFO     src.main:main.py:131 Total computation time\t: 2.777 seconds\nINFO     src.main:main.py:136 Generated a trip of 430 minutes with 23 landmarks in 24.252 seconds.\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 882ad72402565b576d19bc057f9d46b2\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for ff37f7969f648625e01552cd5c81d4f7\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for adec8890fc0b3d02f127cc638fc5dc6c\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 74fa052096bf76415b6ff0c443e2e938\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 6c21aa000c2dd793704d9cb0358c36d2\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 45ca0d93a6dfa98bb19a6ae6d78e09eb\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 921856cf3173dd548ada23ee0350c039\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 41fa98e5f9c369052a7641ead89303ea\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for b837b7df36baadfb8aba8ed2cbd6cdca\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for e2343d88d60491b8304aa1318fc2bc9b\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for f5bdaae1a0f61631b3f83195dc8000a6\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 35fef6aafb74cc93b6c584f6bf479d3e\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 77aeb178300fded3a5b33bd9ebd1799b\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 32865579e8b3bfdcf96313683269ea98\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 612e9c5bf4eb5177129175deef30d30b\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 76a83602c160b84a47e2ae2328b2d032\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 3a4b7d33ee6587884434eabb306f9b9d\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 3f69e1a51967492f3e01b6e0d0bef651\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 4b3239a153d92db8cd3670b4d50414b0\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for f4c8214c5e866fa27f50a4c78245f1bd\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 00badfae856c259e82603ddbb1ac3d04\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 962010bb46a14f196e6adca14690176e\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 3152790167a6742c6f673357f1cb4876\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for abd00efe407206f34abfc444a909411a\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 00125c6c5ffd661c18497cdf1b59711a\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for c1e0dfa5ebb4cad79f4aa8d9300d3a05\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 331f38157bdf19f819a55bd7364d9eb5\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 23770db581442931e3b0b6df033571fa\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 04a48b78a31fd90c5816c4de9a4281a1\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 9113effe1e07c618b01ea25446b6d55f\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for a8dfb8af3dc2fd058936f1f6eeb1a8e1\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for 90b92ca2ebb8b0ef9b35f2bb2d077fbe\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for f705d8118456a370651753b39e215e27\nDEBUG    src.overpass.overpass:overpass.py:111 Cache set for b38a0b594f5ee3b6a8c48e77ce48e69e\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_main.py::test_shopping&#34;: [{&#34;extras&#34;: [], &#34;result&#34;: &#34;Failed&#34;, &#34;testId&#34;: &#34;src/tests/test_main.py::test_shopping&#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_shopping&lt;/td&gt;&#34;, &#34;&lt;td&gt;start (0 | 0) - 32 - Westfield La Part-Dieu (546 | 30) - 32 - finish (0 | 0) - 0&lt;/td&gt;&#34;, &#34;&lt;td&gt;94 min&lt;/td&gt;&#34;, &#34;&lt;td&gt;240 min&lt;/td&gt;&#34;, &#34;&lt;td class=\&#34;col-duration\&#34;&gt;00:00:01&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 0x75b14f4fe9f0&amp;gt;\nrequest = &amp;lt;FixtureRequest for &amp;lt;Function test_shopping&amp;gt;&amp;gt;\n\n    def test_shopping(client, request) :   # pylint: disable=redefined-outer-name\n        &amp;quot;&amp;quot;&amp;quot;\n        Test n\u00b08 : Custom test in Lyon centre to ensure shopping clusters are found.\n    \n        Args:\n            client:\n            request:\n        &amp;quot;&amp;quot;&amp;quot;\n        start_time = time.time()  # Start timer\n        duration_minutes = 240\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;: 0},\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;: [45.7576485, 4.8330241]\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; result[&amp;#x27;total_time&amp;#x27;], f&amp;quot;Trip too short: {result[&amp;#x27;total_time&amp;#x27;]} instead of {duration_minutes}&amp;quot;\nE       AssertionError: Trip too short: 94 instead of 240\nE       assert (240 * 0.8) &amp;lt; 94\n\nsrc/tests/test_main.py:343: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG    asyncio:selector_events.py:64 Using selector: EpollSelector\nINFO     src.main:main.py:66 No end coordinates provided. Using start=end.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:76 Starting to fetch landmarks...\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 13 landmarks of type shopping in (45.73968219431761, 4.807273148692414, 45.775614805682395, 4.858775051307586)\nINFO     src.utils.landmarks_manager:landmarks_manager.py:110 Found 13 shopping landmarks\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nINFO     src.utils.cluster_manager:cluster_manager.py:137 Found 7 different shopping clusters.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nDEBUG    src.overpass.overpass:overpass.py:55 Cache hit.\nINFO     src.main:main.py:103 Fetched 12 landmarks in  \t: 0.012 seconds\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 4 times, objective value : 1983\nDEBUG    src.optimization.refiner:refiner.py:345 Using 4 minor landmarks around the predicted path\nDEBUG    src.optimization.optimizer:optimizer.py:597 First results are out. Looking out for circles and correcting.\nINFO     src.optimization.optimizer:optimizer.py:637 Re-optimized 8 times, objective value : 546\nDEBUG    src.main:main.py:129 First stage optimization\t: 0.914 seconds\nDEBUG    src.main:main.py:130 Second stage optimization\t: 0.2 seconds\nINFO     src.main:main.py:131 Total computation time\t: 1.113 seconds\nINFO     src.main:main.py:136 Generated a trip of 94 minutes with 3 landmarks in 1.126 seconds.\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;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/main.py b/backend/src/main.py
index 59bbe8f..a45e56f 100644
--- a/backend/src/main.py
+++ b/backend/src/main.py
@@ -93,7 +93,7 @@ def new_trip(preferences: Preferences,
     )
 
     if len(landmarks) == 0 :
-        raise HTTPException(status_code=500, detail=f"No landmarks were found.")
+        raise HTTPException(status_code=500, detail="No landmarks were found.")
 
     # insert start and finish to the landmarks list
     landmarks_short.insert(0, start_landmark)
@@ -134,7 +134,8 @@ 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.')
-        
+
+
     return trip
 
 
@@ -152,7 +153,7 @@ def get_trip(trip_uuid: str) -> Trip:
     """
     try:
         trip = cache_client.get(f"trip_{trip_uuid}")
-        background_tasks = BackgroundTasks(fill_cache())
+        BackgroundTasks(fill_cache())
         return trip
     except KeyError as exc:
         raise HTTPException(status_code=404, detail="Trip not found") from exc
diff --git a/backend/src/optimization/optimizer.py b/backend/src/optimization/optimizer.py
index 5b966ff..d368b07 100644
--- a/backend/src/optimization/optimizer.py
+++ b/backend/src/optimization/optimizer.py
@@ -493,10 +493,21 @@ class Optimizer:
 
 
     def warm_start(self, x: list[pl.LpVariable], L: int) :
+        """
+        This function sets the initial values of the decision variables to a feasible solution.
+        This can help the solver start with a feasible or heuristic solution,
+        potentially speeding up convergence.
 
+        Args:
+        x (list[pl.LpVariable]): A list of PuLP decision variables (binary variables).
+        L (int): The size parameter, representing a dimension (likely related to a grid or matrix).
+
+        Returns:
+        list[pl.LpVariable]: The modified list of PuLP decision variables with initial values set.
+        """
         for i in range(L*L) :
             x[i].setInitialValue(0)
-            
+
         x[1].setInitialValue(1)
         x[2*L-1].setInitialValue(1)
 
@@ -579,7 +590,7 @@ class Optimizer:
         try :
             prob.solve(pl.PULP_CBC_CMD(msg=False, timeLimit=self.time_limit+1, gapRel=self.gap_rel))
         except Exception as exc :
-            raise Exception(f"No solution found: {exc}") from exc 
+            raise Exception(f"No solution found: {exc}") from exc
         status = pl.LpStatus[prob.status]
         solution = [pl.value(var) for var in x]  # The values of the decision variables (will be 0 or 1)
 
@@ -607,8 +618,8 @@ class Optimizer:
             try :
                 prob.solve(pl.PULP_CBC_CMD(msg=False, timeLimit=self.time_limit, gapRel=self.gap_rel))
             except Exception as exc :
-                raise Exception(f"No solution found: {exc}") from exc 
-        
+                raise Exception(f"No solution found: {exc}") from exc
+
             solution = [pl.value(var) for var in x]
 
             if pl.LpStatus[prob.status] != 'Optimal' :
diff --git a/backend/src/overpass/caching_strategy.py b/backend/src/overpass/caching_strategy.py
index 7823d5d..d7bc5aa 100644
--- a/backend/src/overpass/caching_strategy.py
+++ b/backend/src/overpass/caching_strategy.py
@@ -59,7 +59,7 @@ class JSONCache(CachingStrategyBase):
                 with open(filename, 'r', encoding='utf-8') as file:
                     data = json.load(file)
                 return data  # Return the parsed JSON data
-            except json.JSONDecodeError as err:
+            except json.JSONDecodeError:
                 return None  # Return None if parsing fails
         return None
 
@@ -73,8 +73,8 @@ class JSONCache(CachingStrategyBase):
         except IOError as e:
             raise IOError(f"Error writing to cache file: {filename} - {e}") from e
 
-    def set_hollow(self, key, cell: tuple, osm_types: OSM_TYPES,
-                    selector: str, conditions=[], out='center'):
+    def set_hollow(self, key, cell: tuple, osm_types: list,
+                    selector: str, conditions: list=None, out='center'):
         """Create an empty placeholder cache entry for a future fill."""
         hollow_key = f'hollow_{key}'
         filename = self._filename(hollow_key)
@@ -85,7 +85,7 @@ class JSONCache(CachingStrategyBase):
             "cell": list(cell),
             "osm_types": list(osm_types),
             "selector": selector,
-            "conditions": conditions if conditions else "none",
+            "conditions": conditions,
             "out": out
         }
         # Write the hollow data to the cache file
@@ -130,11 +130,6 @@ class CachingStrategy:
 
     @classmethod
     def set_hollow(cls, key, cell: tuple, osm_types: OSM_TYPES,
-                    selector: str, conditions=[], out='center'):
+                    selector: str, conditions: list=None, out='center'):
         """Create a hollow cache entry."""
         cls.__strategy.set_hollow(key, cell, osm_types, selector, conditions, out)
-
-    @classmethod
-    def fill_hollow(cls, key, value):
-        """Fill in the hollow cache entry with actual data."""
-        cls.__strategy.fill_hollow(key, value)
diff --git a/backend/src/overpass/overpass.py b/backend/src/overpass/overpass.py
index 0d012d8..edcb41b 100644
--- a/backend/src/overpass/overpass.py
+++ b/backend/src/overpass/overpass.py
@@ -30,7 +30,7 @@ class Overpass :
 
 
     def send_query(self, bbox: tuple, osm_types: OSM_TYPES,
-                    selector: str, conditions=[], out='center'):
+                    selector: str, conditions: list=None, out='center'):
         """
         Sends the Overpass QL query to the Overpass API and returns the parsed json response.
 
@@ -52,24 +52,22 @@ class Overpass :
 
         # If there is no missing data, return the cached responses
         if not hollow_cache_keys :
-            self.logger.debug(f'Cache hit.')
+            self.logger.info('Cache hit.')
             return self._combine_cached_data(cached_responses)
-        
+
         # TODO If there is SOME missing data : hybrid stuff with partial cache
-        
+
         # Missing data: Make a query to Overpass API
         query_str = Overpass.build_query(bbox, osm_types, selector, conditions, out)
         return self.fetch_data_from_api(query_str)
 
 
-    def fetch_data_from_api(self, query_str: str, cache_key: str = None) -> dict:
+    def fetch_data_from_api(self, query_str: str) -> list:
         """
-        Fetch data from the Overpass API and update the cache.
+        Fetch data from the Overpass API and return the json data.
 
         Args:
             query_str (str): The Overpass query string.
-            cached_responses (list): Cached responses to combine with fetched data.
-            hollow_cache_keys (list): Cache keys for missing data to be updated.
 
         Returns:
             dict: Combined cached and fetched data.
@@ -83,32 +81,45 @@ class Overpass :
                 data = json.loads(response_data)  # Load the JSON from the string
                 elements = data.get('elements', [])
 
-                if cache_key is not None :
-                    self.caching_strategy.set(cache_key, elements)
-                    self.logger.debug(f'Cache set.')
-                else : 
-                    self.logger.debug(f'Cache miss. Fetching data through Overpass\nQuery = {query_str}')
-                    return elements
+                self.logger.info(f'Cache miss. Fetching data through Overpass.')
+                self.logger.debug(f'Query = {query_str}')
+                return elements
 
         except urllib.error.URLError as e:
             self.logger.error(f"Error connecting to Overpass API: {e}")
-            raise ConnectionError(f"Error connecting to Overpass API: {e}")
+            raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
         except Exception as exc :
             raise Exception(f'An unexpected error occured: {str(exc)}') from exc
 
 
-
-    def fill_cache(self, json_data: list) :
+    def fill_cache(self, json_data: dict) :
         """
         Fill cache with data by using a hollow cache entry's information.
         """
         query_str, cache_key = Overpass._build_query_from_hollow(json_data)
-        self.fetch_data_from_api(query_str, cache_key)
+        try:
+            data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
+            request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
+
+            with urllib.request.urlopen(request) as response:
+                # Convert the HTTPResponse to a string and load data
+                response_data = response.read().decode('utf-8')  
+                data = json.loads(response_data)
+
+                # Get elements and set cache
+                elements = data.get('elements', [])
+                self.caching_strategy.set(cache_key, elements)
+                self.logger.debug(f'Cache set for {cache_key}')
+
+        except urllib.error.URLError as e:
+            raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
+        except Exception as exc :
+            raise Exception(f'An unexpected error occured: {str(exc)}') from exc
 
 
     @staticmethod
     def build_query(bbox: tuple, osm_types: OSM_TYPES,
-                    selector: str, conditions=[], out='center') -> str:
+                    selector: str, conditions: list=None, out='center') -> str:
         """
         Constructs a query string for the Overpass API to retrieve OpenStreetMap (OSM) data.
 
@@ -132,17 +143,12 @@ class Overpass :
             - If no conditions are provided, the query will just use the `selector` to filter the OSM 
             elements without additional constraints.
         """
-        if not isinstance(conditions, list) :
-            conditions = [conditions]
-        if not isinstance(osm_types, list) :
-            osm_types = [osm_types]
-
         query = '[out:json];('
 
         # convert the bbox to string.
         bbox_str = f"({','.join(map(str, bbox))})"
 
-        if conditions :
+        if conditions is not None and len(conditions) > 0:
             conditions = '(if: ' + ' && '.join(conditions) + ')'
         else :
             conditions = ''
@@ -175,7 +181,7 @@ class Overpass :
         for cell in overlapping_cells :
             for elem in osm_types :
                 key_str = f"{elem}[{selector}]{conditions}({','.join(map(str, cell))})"
-            
+
             cell_key_dict[cell] = get_cache_key(key_str)
 
         cached_responses = []
@@ -194,24 +200,21 @@ class Overpass :
 
 
     @staticmethod
-    def _build_query_from_hollow(json_data: list):
+    def _build_query_from_hollow(json_data: dict):
         """
         Build query string using information from a hollow cache entry.
         """
-        # Parse the JSON string into a dictionary
-        data = json.loads(json_data)
-        
         # Extract values from the JSON object
-        key = data.get('key')
-        cell = tuple(data.get('cell'))
+        key = json_data.get('key')
+        cell = tuple(json_data.get('cell'))
         bbox = Overpass._get_bbox_from_grid_cell(cell[0], cell[1])
-        osm_types = data.get('osm_types')
-        selector = data.get('selector')
-        conditions = data.get('conditions') if data.get('conditions') != "none" else []
-        out = data.get('out')
+        osm_types = json_data.get('osm_types')
+        selector = json_data.get('selector')
+        conditions = json_data.get('conditions')
+        out = json_data.get('out')
+
 
         query_str = Overpass.build_query(bbox, osm_types, selector, conditions, out)
-        
         return query_str, key
 
 
@@ -230,7 +233,7 @@ class Overpass :
         for lat_idx in range(min_lat_cell, max_lat_cell + 1):
             for lon_idx in range(min_lon_cell, max_lon_cell + 1):
                 overlapping_cells.add((lat_idx, lon_idx))
-        
+
         return overlapping_cells
 
 
@@ -274,7 +277,7 @@ class Overpass :
             for element in cached_data:
                 combined_data.append(element)
         return combined_data
-    
+
 
 def get_base_info(elem: dict, osm_type: OSM_TYPES, with_name=False) :
     """
@@ -327,14 +330,13 @@ def fill_cache():
     with os.scandir(OSM_CACHE_DIR) as it:
         for entry in it:
             if entry.is_file() and entry.name.startswith('hollow_'):
-                
+
                 # Read the whole file content as a string
                 with open(entry.path, 'r') as f:
-                    json_data = f.read()  
+                    json_data = json.load(f)
 
                 # Fill the cache with the query and key
                 overpass.fill_cache(json_data)
 
                 # Now delete the file as the cache is filled
                 os.remove(entry.path)
-                
diff --git a/backend/src/utils/cluster_manager.py b/backend/src/utils/cluster_manager.py
index f90e7c4..d7e7673 100644
--- a/backend/src/utils/cluster_manager.py
+++ b/backend/src/utils/cluster_manager.py
@@ -103,10 +103,10 @@ class ClusterManager:
             out = out
         )
         except Exception as e:
-            self.logger.error(f"Error fetching landmarks: {e}")
+            self.logger.error(f"Error fetching clusters: {e}")
 
         if result is None :
-            self.logger.error(f"Error fetching {cluster_type} clusters, overpass query returned None.")
+            self.logger.debug(f"Found no {cluster_type} clusters, overpass query returned no datapoints.")
             self.valid = False
 
         else :
@@ -134,7 +134,7 @@ class ClusterManager:
 
                 # Check that there are is least 1 cluster
                 if len(set(labels)) > 1 :
-                    self.logger.debug(f"Found {len(set(labels))} different clusters.")
+                    self.logger.info(f"Found {len(set(labels))} different {cluster_type} clusters.")
                     # Separate clustered points and noise points
                     self.cluster_points = self.all_points[labels != -1]
                     self.cluster_labels = labels[labels != -1]
@@ -142,7 +142,7 @@ class ClusterManager:
                     self.valid = True
 
                 else :
-                    self.logger.debug(f"Detected 0 {cluster_type} clusters.")
+                    self.logger.info(f"Found 0 {cluster_type} clusters.")
                     self.valid = False
 
             else :
@@ -241,11 +241,11 @@ class ClusterManager:
                                                   out = 'ids center'
                                                   )
             except Exception as e:
-                self.logger.error(f"Error fetching landmarks: {e}")
+                self.logger.error(f"Error fetching clusters: {e}")
                 continue
 
             if result is None :
-                self.logger.error(f"Error fetching landmarks: {e}")
+                self.logger.error(f"Error fetching clusters: {e}")
                 continue
 
             for elem in result:
diff --git a/backend/src/utils/landmarks_manager.py b/backend/src/utils/landmarks_manager.py
index f63779b..5523e26 100644
--- a/backend/src/utils/landmarks_manager.py
+++ b/backend/src/utils/landmarks_manager.py
@@ -88,26 +88,26 @@ class LandmarkManager:
             self.logger.debug('Fetching sightseeing landmarks...')
             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['sightseeing'], preferences.sightseeing.type, preferences.sightseeing.score)
             all_landmarks.update(current_landmarks)
-            self.logger.debug('Fetching sightseeing clusters...')
+            self.logger.info(f'Found {len(current_landmarks)} sightseeing landmarks')
 
             # 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')
 
         # list for nature
         if preferences.nature.score != 0:
             self.logger.debug('Fetching nature landmarks...')
             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['nature'], preferences.nature.type, preferences.nature.score)
             all_landmarks.update(current_landmarks)
+            self.logger.info(f'Found {len(current_landmarks)} nature landmarks')
 
 
         # list for shopping
         if preferences.shopping.score != 0:
             self.logger.debug('Fetching shopping landmarks...')
             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, preferences.shopping.score)
-            self.logger.debug('Fetching shopping clusters...')
+            self.logger.info(f'Found {len(current_landmarks)} shopping landmarks')
 
             # set time for all shopping activites :
             for landmark in current_landmarks :
@@ -118,8 +118,6 @@ class LandmarkManager:
             shopping_manager = ClusterManager(bbox, 'shopping')
             shopping_clusters = shopping_manager.generate_clusters()
             all_landmarks.update(shopping_clusters)
-            self.logger.debug('Shopping clusters done')
-
 
 
         landmarks_constrained = take_most_important(all_landmarks, self.n_important)
@@ -174,7 +172,7 @@ class LandmarkManager:
         """
         return_list = []
 
-        if landmarktype == 'nature' : query_conditions = []
+        if landmarktype == 'nature' : query_conditions = None
         else : query_conditions = ['count_tags()>5']
 
         # caution, when applying a list of selectors, overpass will search for elements that match ALL selectors simultaneously
@@ -185,7 +183,7 @@ class LandmarkManager:
             osm_types = ['way', 'relation']
 
             if 'viewpoint' in sel :
-                query_conditions = []
+                query_conditions = None
                 osm_types.append('node')
 
             # Send the overpass query
diff --git a/backend/src/utils/toilets_manager.py b/backend/src/utils/toilets_manager.py
index 2ce8cce..57c0d83 100644
--- a/backend/src/utils/toilets_manager.py
+++ b/backend/src/utils/toilets_manager.py
@@ -56,7 +56,7 @@ class ToiletsManager:
         osm_types = ['node', 'way', 'relation']
         toilets_list = []
 
-        query = self.overpass.build_query(
+        query = Overpass.build_query(
             bbox = bbox,
             osm_types = osm_types,
             selector = '"amenity"="toilets"',
