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<title id="head-title">Backend Testing Report</title>
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/******************************
* SUMMARY INFORMATION
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/******************************
* TEST RESULT COLORS
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/******************************
* RESULTS TABLE
*
* 1. Table Layout
* 2. Extra
* 3. Sorting items
*
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* 1. Table Layout
*------------------*/
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* 2. Extra
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</head>
<body>
<h1 id="title">Backend Testing Report</h1>
<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>
</div>
<table id="environment"></table>
<!-- TEMPLATES -->
<template id="template_environment_row">
<tr>
<td></td>
<td></td>
</tr>
</template>
<template id="template_results-table__body--empty">
<tbody class="results-table-row">
<tr id="not-found-message">
<td colspan="7">No results found. Check the filters.</th>
</tr>
</template>
<template id="template_results-table__tbody">
<tbody class="results-table-row">
<tr class="collapsible">
</tr>
<tr class="extras-row">
<td class="extra" colspan="7">
<div class="extraHTML"></div>
<div class="media">
<div class="media-container">
<div class="media-container__nav--left"><</div>
<div class="media-container__viewport">
<img src="" />
<video controls>
<source src="" type="video/mp4">
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<div class="logwrapper">
<div class="logexpander"></div>
<div class="log"></div>
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</template>
<!-- END TEMPLATES -->
<div class="summary">
<div class="summary__data">
<h2>Summary</h2>
<div class="additional-summary prefix">
</div>
<p class="run-count">8 tests took 00:05:36.</p>
<p class="filter">(Un)check the boxes to filter the results.</p>
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<div class="summary__reload__button hidden" onclick="location.reload()">
<div>There are still tests running. <br />Reload this page to get the latest results!</div>
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<div class="filters">
<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">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/>
<span class="xfailed">0 Expected failures,</span>
<input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="xpassed" disabled/>
<span class="xpassed">0 Unexpected passes,</span>
<input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="error" disabled/>
<span class="error">0 Errors,</span>
<input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="rerun" disabled/>
<span class="rerun">0 Reruns</span>
</div>
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<button id="show_all_details">Show all details</button> / <button id="hide_all_details">Hide all details</button>
</div>
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</div>
<div class="additional-summary summary">
</div>
<div class="additional-summary postfix">
</div>
</div>
<table id="results-table">
<thead id="results-table-head">
<tr>
<th class="sortable" data-column-type="result">Result</th>
<th class="sortable" data-column-type="testId">Test</th>
<th>Detailed trip</th>
<th>Trip Duration</th>
<th>Target Duration</th>
<th>Execution time</th>
<th>Links</th>
</tr>
</thead>
</table>
</body>
<footer>
<div id="data-container" data-jsonblob="{"environment": {"Python": "3.12.3", "Platform": "Linux-6.8.0-51-generic-x86_64-with-glibc2.39", "Packages": {"pytest": "8.3.4", "pluggy": "1.5.0"}, "Plugins": {"html": "4.1.1", "anyio": "4.8.0", "metadata": "3.1.1"}}, "tests": {"src/tests/test_main.py::test_turckheim": [{"extras": [], "result": "Passed", "testId": "src/tests/test_main.py::test_turckheim", "resultsTableRow": ["<td class=\"col-result\">Passed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_turckheim</td>", "<td>start (0 | 0) - 6 - H\u00f4tel de ville (238 | 5) - 1 - H\u00f4tel des Deux-Clefs (217 | 5) - 6 - finish (0 | 0) - 0</td>", "<td>23 min</td>", "<td>20 min</td>", "<td class=\"col-duration\">250 ms</td>", "<td class=\"col-links\"></td>"], "log": "------------------------------ 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 &quot;HTTP/1.1 200 OK&quot;\n\n"}], "src/tests/test_main.py::test_bellecour": [{"extras": [], "result": "Failed", "testId": "src/tests/test_main.py::test_bellecour", "resultsTableRow": ["<td class=\"col-result\">Failed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_bellecour</td>", "<td>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'Europe (217 | 5) - 5 - finish (0 | 0) - 0</td>", "<td>129 min</td>", "<td>120 min</td>", "<td class=\"col-duration\">00:00:58</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x75b14f4fe9f0&gt;\nrequest = &lt;FixtureRequest for &lt;Function test_bellecour&gt;&gt;\n\n def test_bellecour(client, request) : # pylint: disable=redefined-outer-name\n &quot;&quot;&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 &quot;&quot;&quot;\n start_time = time.time() # Start timer\n duration_minutes = 120\n \n \n response = client.post(\n &quot;/trip/new&quot;,\n json={\n &quot;preferences&quot;: {&quot;sightseeing&quot;: {&quot;type&quot;: &quot;sightseeing&quot;, &quot;score&quot;: 5},\n &quot;nature&quot;: {&quot;type&quot;: &quot;nature&quot;, &quot;score&quot;: 5},\n &quot;shopping&quot;: {&quot;type&quot;: &quot;shopping&quot;, &quot;score&quot;: 5},\n &quot;max_time_minute&quot;: duration_minutes,\n &quot;detour_tolerance_minute&quot;: 0},\n &quot;start&quot;: [45.7576485, 4.8330241]\n }\n )\n result = response.json()\n landmarks = load_trip_landmarks(client, result[&#x27;first_landmark_uuid&#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[&#x27;total_time&#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&gt; assert comp_time &lt; 30, f&quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&quot;\nE AssertionError: Computation time exceeded 30 seconds: 57.99 seconds\nE assert 57.98668646812439 &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~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[tourism~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&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()&gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[historic](if: count_tags()&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~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&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()&gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[water=reflecting_pool](if: count_tags()&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~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&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()&gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[building=cathedral](if: count_tags()&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[&quot;historic&quot;~&quot;^(monument|building|yes)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center;\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 3 different sightseeing clusters.\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.75425587604769,4.8147251119603816,45.77222218173008,4.8404786435951745);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.75425587604769,4.8147251119603816,45.77222218173008,4.8404786435951745);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.75064422278907,4.806348064350125,45.76861052847146,4.832099928927187);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.75064422278907,4.806348064350125,45.76861052847146,4.832099928927187);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.75064422278907,4.806348064350125,45.76861052847146,4.832099928927187););out ids center;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:100 Fetching nature landmarks...\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[leisure=park](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[leisure=park](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[geological](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[geological](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[natural~&quot;^(geyser|hot_spring|arch|volcano|stone)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[natural~&quot;^(geyser|hot_spring|arch|volcano|stone)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);node[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&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~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&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~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&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~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586);relation[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&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[&quot;shop&quot;~&quot;^(bag|boutique|clothes)$&quot;](45.73968219431761,4.807273148692414,45.775614805682395,4.858775051307586););out ids center;\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);way[&quot;shop&quot;=&quot;mall&quot;](45.75324738656399,4.820918152820221,45.771213692246384,4.846671218926986);relation[&quot;shop&quot;=&quot;mall&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;=&quot;mall&quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);way[&quot;shop&quot;=&quot;mall&quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366);relation[&quot;shop&quot;=&quot;mall&quot;](45.74632733352244,4.8183334842467245,45.76429363920483,4.844083356662366););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);way[&quot;shop&quot;=&quot;mall&quot;](45.746510277391366,4.831610256467969,45.76447658307376,4.8573602132994695);relation[&quot;shop&quot;=&quot;mall&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);way[&quot;shop&quot;=&quot;mall&quot;](45.758362049081875,4.830990597869345,45.77632835476427,4.856746025207581);relation[&quot;shop&quot;=&quot;mall&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 0818d616486b7570f8454834c9dcf2c1\nDEBUG 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"src/tests/test_main.py::test_cologne", "resultsTableRow": ["<td class=\"col-result\">Failed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_cologne</td>", "<td>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</td>", "<td>336 min</td>", "<td>240 min</td>", "<td class=\"col-duration\">00:01:21</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x75b14f4fe9f0&gt;\nrequest = &lt;FixtureRequest for &lt;Function test_cologne&gt;&gt;\n\n def test_cologne(client, request) : # pylint: disable=redefined-outer-name\n &quot;&quot;&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 &quot;&quot;&quot;\n start_time = time.time() # Start timer\n duration_minutes = 240\n \n response = client.post(\n &quot;/trip/new&quot;,\n json={\n &quot;preferences&quot;: {&quot;sightseeing&quot;: {&quot;type&quot;: &quot;sightseeing&quot;, &quot;score&quot;: 5},\n &quot;nature&quot;: {&quot;type&quot;: &quot;nature&quot;, &quot;score&quot;: 5},\n &quot;shopping&quot;: {&quot;type&quot;: &quot;shopping&quot;, &quot;score&quot;: 5},\n &quot;max_time_minute&quot;: duration_minutes,\n &quot;detour_tolerance_minute&quot;: 0},\n &quot;start&quot;: [50.942352665, 6.957777972392]\n }\n )\n result = response.json()\n landmarks = load_trip_landmarks(client, result[&#x27;first_landmark_uuid&#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[&#x27;total_time&#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&gt; assert comp_time &lt; 30, f&quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&quot;\nE AssertionError: Computation time exceeded 30 seconds: 80.70 seconds\nE assert 80.70358157157898 &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~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[tourism~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[historic](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[water=reflecting_pool](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[building=cathedral](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 274 landmarks of type sightseeing in (50.92438635931761, 6.929264642708961, 50.960318970682394, 6.986291302075039)\nINFO src.utils.landmarks_manager:landmarks_manager.py:91 Found 274 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&quot;historic&quot;~&quot;^(monument|building|yes)$&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~&quot;^(geyser|hot_spring|arch|volcano|stone)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[natural~&quot;^(geyser|hot_spring|arch|volcano|stone)$&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~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);node[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 58 landmarks of type nature in (50.92438635931761, 6.929264642708961, 50.960318970682394, 6.986291302075039)\nINFO src.utils.landmarks_manager:landmarks_manager.py:103 Found 58 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039);relation[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(50.92438635931761,6.929264642708961,50.960318970682394,6.986291302075039););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 4 landmarks of type shopping in (50.92438635931761, 6.929264642708961, 50.960318970682394, 6.986291302075039)\nINFO src.utils.landmarks_manager:landmarks_manager.py:110 Found 4 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;~&quot;^(bag|boutique|clothes)$&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;=&quot;mall&quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);way[&quot;shop&quot;=&quot;mall&quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065);relation[&quot;shop&quot;=&quot;mall&quot;](50.9287116590991,6.928579683414902,50.94667796478149,6.9570901568836065););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);way[&quot;shop&quot;=&quot;mall&quot;](50.92823714239689,6.939290170636843,50.94620344807928,6.967800353172677);relation[&quot;shop&quot;=&quot;mall&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);way[&quot;shop&quot;=&quot;mall&quot;](50.93005858508985,6.941934305506917,50.948024890772245,6.970445604837909);relation[&quot;shop&quot;=&quot;mall&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 b959b31d7788e767683500f6445223b9\nDEBUG 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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 &quot;HTTP/1.1 200 OK&quot;\n\n"}], "src/tests/test_main.py::test_strasbourg": [{"extras": [], "result": "Failed", "testId": "src/tests/test_main.py::test_strasbourg", "resultsTableRow": ["<td class=\"col-result\">Failed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_strasbourg</td>", "<td>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</td>", "<td>166 min</td>", "<td>180 min</td>", "<td class=\"col-duration\">00:00:55</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x75b14f4fe9f0&gt;\nrequest = &lt;FixtureRequest for &lt;Function test_strasbourg&gt;&gt;\n\n def test_strasbourg(client, request) : # pylint: disable=redefined-outer-name\n &quot;&quot;&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 &quot;&quot;&quot;\n start_time = time.time() # Start timer\n duration_minutes = 180\n \n response = client.post(\n &quot;/trip/new&quot;,\n json={\n &quot;preferences&quot;: {&quot;sightseeing&quot;: {&quot;type&quot;: &quot;sightseeing&quot;, &quot;score&quot;: 5},\n &quot;nature&quot;: {&quot;type&quot;: &quot;nature&quot;, &quot;score&quot;: 5},\n &quot;shopping&quot;: {&quot;type&quot;: &quot;shopping&quot;, &quot;score&quot;: 5},\n &quot;max_time_minute&quot;: duration_minutes,\n &quot;detour_tolerance_minute&quot;: 0},\n &quot;start&quot;: [48.5846589226, 7.74078715721]\n }\n )\n result = response.json()\n landmarks = load_trip_landmarks(client, result[&#x27;first_landmark_uuid&#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[&#x27;total_time&#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&gt; assert comp_time &lt; 30, f&quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&quot;\nE AssertionError: Computation time exceeded 30 seconds: 55.30 seconds\nE assert 55.295562744140625 &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~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[tourism~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[historic](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[water=reflecting_pool](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[building=cathedral](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 76 landmarks of type sightseeing in (48.56669261691761, 7.713627729924946, 48.60262522828239, 7.7679465844950535)\nINFO src.utils.landmarks_manager:landmarks_manager.py:91 Found 76 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&quot;historic&quot;~&quot;^(monument|building|yes)$&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~&quot;^(geyser|hot_spring|arch|volcano|stone)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[natural~&quot;^(geyser|hot_spring|arch|volcano|stone)$&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~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);node[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 119 landmarks of type nature in (48.56669261691761, 7.713627729924946, 48.60262522828239, 7.7679465844950535)\nINFO src.utils.landmarks_manager:landmarks_manager.py:103 Found 119 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535);relation[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(48.56669261691761,7.713627729924946,48.60262522828239,7.7679465844950535););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 3 landmarks of type shopping in (48.56669261691761, 7.713627729924946, 48.60262522828239, 7.7679465844950535)\nINFO src.utils.landmarks_manager:landmarks_manager.py:110 Found 3 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;~&quot;^(bag|boutique|clothes)$&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);way[&quot;shop&quot;=&quot;mall&quot;](48.57246749715879,7.734780535156979,48.59043380284118,7.761938238527238);relation[&quot;shop&quot;=&quot;mall&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 c8a4bd7a01206fddc65a7f38cb45c1a0\nDEBUG 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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 &quot;HTTP/1.1 200 OK&quot;\n\n"}], "src/tests/test_main.py::test_zurich": [{"extras": [], "result": "Failed", "testId": "src/tests/test_main.py::test_zurich", "resultsTableRow": ["<td class=\"col-result\">Failed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_zurich</td>", "<td>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</td>", "<td>205 min</td>", "<td>180 min</td>", "<td class=\"col-duration\">00:00:42</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x75b14f4fe9f0&gt;\nrequest = &lt;FixtureRequest for &lt;Function test_zurich&gt;&gt;\n\n def test_zurich(client, request) : # pylint: disable=redefined-outer-name\n &quot;&quot;&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 &quot;&quot;&quot;\n start_time = time.time() # Start timer\n duration_minutes = 180\n \n response = client.post(\n &quot;/trip/new&quot;,\n json={\n &quot;preferences&quot;: {&quot;sightseeing&quot;: {&quot;type&quot;: &quot;sightseeing&quot;, &quot;score&quot;: 5},\n &quot;nature&quot;: {&quot;type&quot;: &quot;nature&quot;, &quot;score&quot;: 5},\n &quot;shopping&quot;: {&quot;type&quot;: &quot;shopping&quot;, &quot;score&quot;: 5},\n &quot;max_time_minute&quot;: duration_minutes,\n &quot;detour_tolerance_minute&quot;: 0},\n &quot;start&quot;: [47.377884227, 8.5395114066]\n }\n )\n result = response.json()\n landmarks = load_trip_landmarks(client, result[&#x27;first_landmark_uuid&#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[&#x27;total_time&#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&gt; assert comp_time &lt; 30, f&quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&quot;\nE AssertionError: Computation time exceeded 30 seconds: 41.97 seconds\nE assert 41.97261595726013 &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~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[tourism~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[historic](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[water=reflecting_pool](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[building=cathedral](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 83 landmarks of type sightseeing in (47.35991792131761, 8.512979561217715, 47.395850532682395, 8.566043251982286)\nINFO src.utils.landmarks_manager:landmarks_manager.py:91 Found 83 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&quot;historic&quot;~&quot;^(monument|building|yes)$&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~&quot;^(geyser|hot_spring|arch|volcano|stone)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[natural~&quot;^(geyser|hot_spring|arch|volcano|stone)$&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~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);node[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 71 landmarks of type nature in (47.35991792131761, 8.512979561217715, 47.395850532682395, 8.566043251982286)\nINFO src.utils.landmarks_manager:landmarks_manager.py:103 Found 71 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286);relation[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(47.35991792131761,8.512979561217715,47.395850532682395,8.566043251982286););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 4 landmarks of type shopping in (47.35991792131761, 8.512979561217715, 47.395850532682395, 8.566043251982286)\nINFO src.utils.landmarks_manager:landmarks_manager.py:110 Found 4 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;~&quot;^(bag|boutique|clothes)$&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;=&quot;mall&quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);way[&quot;shop&quot;=&quot;mall&quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249);relation[&quot;shop&quot;=&quot;mall&quot;](47.362662094146756,8.531001769640882,47.38062839982915,8.557530476142249););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);way[&quot;shop&quot;=&quot;mall&quot;](47.36314100187579,8.526281455227702,47.38110730755818,8.552810402633925);relation[&quot;shop&quot;=&quot;mall&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 &quot;HTTP/1.1 200 OK&quot;\n\n"}], "src/tests/test_main.py::test_paris": [{"extras": [], "result": "Failed", "testId": "src/tests/test_main.py::test_paris", "resultsTableRow": ["<td class=\"col-result\">Failed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_paris</td>", "<td>start (0 | 0) - 9 - \u00c9glise Saint-Germain l'Auxerrois (662 | 5) - 8 - Pyramide du Louvre (557 | 5) - 3 - Tunnel des Tuileries (506 | 5) - 18 - \u00c9glise Notre-Dame-de-l'Assomption (575 | 5) - 10 - \u00c9glise Saint-Roch (633 | 5) - 8 - Palais du Louvre (891 | 5) - 6 - Temple de l'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</td>", "<td>259 min</td>", "<td>200 min</td>", "<td class=\"col-duration\">00:00:52</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x75b14f4fe9f0&gt;\nrequest = &lt;FixtureRequest for &lt;Function test_paris&gt;&gt;\n\n def test_paris(client, request) : # pylint: disable=redefined-outer-name\n &quot;&quot;&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 &quot;&quot;&quot;\n start_time = time.time() # Start timer\n duration_minutes = 200\n \n response = client.post(\n &quot;/trip/new&quot;,\n json={\n &quot;preferences&quot;: {&quot;sightseeing&quot;: {&quot;type&quot;: &quot;sightseeing&quot;, &quot;score&quot;: 5},\n &quot;nature&quot;: {&quot;type&quot;: &quot;nature&quot;, &quot;score&quot;: 0},\n &quot;shopping&quot;: {&quot;type&quot;: &quot;shopping&quot;, &quot;score&quot;: 5},\n &quot;max_time_minute&quot;: duration_minutes,\n &quot;detour_tolerance_minute&quot;: 0},\n &quot;start&quot;: [48.85468881798671, 2.3423925755998374]\n }\n )\n result = response.json()\n landmarks = load_trip_landmarks(client, result[&#x27;first_landmark_uuid&#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[&#x27;total_time&#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&gt; assert comp_time &lt; 30, f&quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&quot;\nE AssertionError: Computation time exceeded 30 seconds: 51.51 seconds\nE assert 51.511590003967285 &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~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[tourism~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&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()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[historic](if: count_tags()&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~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&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()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[water=reflecting_pool](if: count_tags()&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~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&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()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[building=cathedral](if: count_tags()&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[&quot;historic&quot;~&quot;^(monument|building|yes)$&quot;](48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center;\nINFO src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744);relation[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(48.83672251230432,2.3150869554078004,48.872655123669105,2.3696981957918744););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 10 landmarks of type shopping in (48.83672251230432, 2.3150869554078004, 48.872655123669105, 2.3696981957918744)\nINFO src.utils.landmarks_manager:landmarks_manager.py:110 Found 10 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;~&quot;^(bag|boutique|clothes)$&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;=&quot;mall&quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);way[&quot;shop&quot;=&quot;mall&quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872);relation[&quot;shop&quot;=&quot;mall&quot;](48.85824730054227,2.312984536068473,48.87621360622466,2.340296999269872););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);way[&quot;shop&quot;=&quot;mall&quot;](48.854915013230226,2.3331740443839917,48.87288131891262,2.360484688949341);relation[&quot;shop&quot;=&quot;mall&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;=&quot;mall&quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);way[&quot;shop&quot;=&quot;mall&quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114);relation[&quot;shop&quot;=&quot;mall&quot;](48.848647948222634,2.34504468600901,48.86661425390503,2.3723519111541114););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);way[&quot;shop&quot;=&quot;mall&quot;](48.843512035569404,2.3193047566514466,48.8614783412518,2.3466091804346445);relation[&quot;shop&quot;=&quot;mall&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);way[&quot;shop&quot;=&quot;mall&quot;](48.85275741460065,2.3507354943028407,48.870723720283046,2.3780449615111143);relation[&quot;shop&quot;=&quot;mall&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 0ebf3424e8582facb69da2d544675d8a\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 492f2f962491d1740a5c77d09a6c92c4\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 684a8a12089403eadb3c7ce091c2be80\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 0761193ce64927f58787e2fc39863356\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for d1d35056fe1637ce51119c73a2a52a15\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 2a0067f12a13b198722138c1f197c456\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for b13c7051ce6fe4b8d323b2a7b67c91c4\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 88b4c508310db2fb1509f79904b305ba\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for f6c80cb4aaa281b8164786fc1ca29c23\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 36a9addf8f85c7842056a22fb23f72f9\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 60c5bd7fa08145f807bfb8e462830130\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for a4acc25e1e9a5be738003b0c732f5a64\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for fffff4287ae55e52e5d025711fd1bc68\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for f7e8692e57d36017b272a4af957d79c4\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 1402693db5cd9fb147445a983cb49026\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for f5b32e229f857fd748d4ad61501f875f\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for e3eb0b02c4fa2babe7fbe7caf81fb12a\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for f069676d76126e01a57a287e2bcb6f50\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 3450e459ceb991b5bffb1d93566abaf6\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 73ca842980b79e6fc1dfd82fc8458d7a\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 1515d3ba78aff33836603e6fdd07079e\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for f7ed59837e9d15359043253bd96dd490\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for e094a045360468b2a70a9b1f671b91b9\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 42902c0fe52b7b3534124a9b4c1c6471\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for d8a5c85713268c52e876355b315bed80\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 403b7c33e4330a23925525d6807ce441\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 6411002b97a7b565577c42c8e440f9dc\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for ee316eb08a8986f967f0495112f41ce7\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 22d1b41451ac026e9fa93cc3a4cde884\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 073d5c87636bb136526e997cc131a82c\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for e2c3187d657812d57fbb488c8a856666\nDEBUG src.overpass.overpass:overpass.py:111 Cache set for 71b657d0bc0748e1c76951adeff4d5cc\nDEBUG 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 &quot;HTTP/1.1 200 OK&quot;\n\n"}], "src/tests/test_main.py::test_new_york": [{"extras": [], "result": "Failed", "testId": "src/tests/test_main.py::test_new_york", "resultsTableRow": ["<td class=\"col-result\">Failed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_new_york</td>", "<td>start (0 | 0) - 7 - Saint Patrick'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's Chapel (575 | 5) - 5 - John Street Methodist Church (575 | 5) - 6 - Trinity Church (721 | 5) - 7 - 9/11 Memorial & 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's in-the-Bowery (633 | 5) - 11 - finish (0 | 0) - 0</td>", "<td>430 min</td>", "<td>600 min</td>", "<td class=\"col-duration\">00:00:47</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x75b14f4fe9f0&gt;\nrequest = &lt;FixtureRequest for &lt;Function test_new_york&gt;&gt;\n\n def test_new_york(client, request) : # pylint: disable=redefined-outer-name\n &quot;&quot;&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 &quot;&quot;&quot;\n start_time = time.time() # Start timer\n duration_minutes = 600\n \n response = client.post(\n &quot;/trip/new&quot;,\n json={\n &quot;preferences&quot;: {&quot;sightseeing&quot;: {&quot;type&quot;: &quot;sightseeing&quot;, &quot;score&quot;: 5},\n &quot;nature&quot;: {&quot;type&quot;: &quot;nature&quot;, &quot;score&quot;: 5},\n &quot;shopping&quot;: {&quot;type&quot;: &quot;shopping&quot;, &quot;score&quot;: 5},\n &quot;max_time_minute&quot;: duration_minutes,\n &quot;detour_tolerance_minute&quot;: 0},\n &quot;start&quot;: [40.72592726802, -73.9920434795]\n }\n )\n result = response.json()\n landmarks = load_trip_landmarks(client, result[&#x27;first_landmark_uuid&#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[&#x27;total_time&#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&gt; assert comp_time &lt; 30, f&quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&quot;\nE AssertionError: Computation time exceeded 30 seconds: 46.87 seconds\nE assert 46.874966621398926 &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~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[tourism~&quot;^(museum|attraction|gallery|artwork|aquarium)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[historic](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[historic](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[amenity~&quot;^(planetarium|place_of_worship|fountain|townhall)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water=reflecting_pool](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[water=reflecting_pool](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[bridge~&quot;^(aqueduct|viaduct|boardwalk|cantilever|abandoned)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[building=cathedral](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[building=cathedral](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 141 landmarks of type sightseeing in (40.70796096233761, -74.01575075976561, 40.743893573702394, -73.96833619923439)\nINFO src.utils.landmarks_manager:landmarks_manager.py:91 Found 141 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[&quot;historic&quot;~&quot;^(monument|building|yes)$&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~&quot;^(geyser|hot_spring|arch|volcano|stone)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[natural~&quot;^(geyser|hot_spring|arch|volcano|stone)$&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~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);node[tourism~&quot;^(alpine_hut|viewpoint|zoo|resort|picnic_site)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[water~&quot;^(pond|lake|river|basin|stream|lagoon|rapids)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[waterway~&quot;^(waterfall|river|canal|dam|dock|boatyard)$&quot;](40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 137 landmarks of type nature in (40.70796096233761, -74.01575075976561, 40.743893573702394, -73.96833619923439)\nINFO src.utils.landmarks_manager:landmarks_manager.py:103 Found 137 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:108 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(way[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439);relation[shop~&quot;^(department_store|mall)$&quot;](if: count_tags()&gt;5)(40.70796096233761,-74.01575075976561,40.743893573702394,-73.96833619923439););out ids center tags;\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:204 Fetched 4 landmarks of type shopping in (40.70796096233761, -74.01575075976561, 40.743893573702394, -73.96833619923439)\nINFO src.utils.landmarks_manager:landmarks_manager.py:110 Found 4 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;~&quot;^(bag|boutique|clothes)$&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;=&quot;mall&quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);way[&quot;shop&quot;=&quot;mall&quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419);relation[&quot;shop&quot;=&quot;mall&quot;](40.71467674541966,-74.01190334848363,40.73264305110205,-73.98819687586419););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);way[&quot;shop&quot;=&quot;mall&quot;](40.713766897158806,-74.00628963015923,40.7317332028412,-73.98258348160546);relation[&quot;shop&quot;=&quot;mall&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[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;shop&quot;=&quot;mall&quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);way[&quot;shop&quot;=&quot;mall&quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916);relation[&quot;shop&quot;=&quot;mall&quot;](40.729054988825474,-74.00386944371749,40.74702129450787,-73.98015784794916););out ids center;\nDEBUG src.overpass.overpass:overpass.py:84 Cache miss. Fetching data through Overpass\nQuery = [out:json];(node[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);way[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);relation[&quot;place&quot;~&quot;^(suburb|neighborhood|neighbourhood|quarter|city_block)$&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[&quot;shop&quot;=&quot;mall&quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);way[&quot;shop&quot;=&quot;mall&quot;](40.71141282049213,-74.00078062841241,40.72937912617452,-73.97707531825428);relation[&quot;shop&quot;=&quot;mall&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 &quot;HTTP/1.1 200 OK&quot;\n\n"}], "src/tests/test_main.py::test_shopping": [{"extras": [], "result": "Failed", "testId": "src/tests/test_main.py::test_shopping", "resultsTableRow": ["<td class=\"col-result\">Failed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_shopping</td>", "<td>start (0 | 0) - 32 - Westfield La Part-Dieu (546 | 30) - 32 - finish (0 | 0) - 0</td>", "<td>94 min</td>", "<td>240 min</td>", "<td class=\"col-duration\">00:00:01</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x75b14f4fe9f0&gt;\nrequest = &lt;FixtureRequest for &lt;Function test_shopping&gt;&gt;\n\n def test_shopping(client, request) : # pylint: disable=redefined-outer-name\n &quot;&quot;&quot;\n Test n\u00b08 : Custom test in Lyon centre to ensure shopping clusters are found.\n \n Args:\n client:\n request:\n &quot;&quot;&quot;\n start_time = time.time() # Start timer\n duration_minutes = 240\n \n response = client.post(\n &quot;/trip/new&quot;,\n json={\n &quot;preferences&quot;: {&quot;sightseeing&quot;: {&quot;type&quot;: &quot;sightseeing&quot;, &quot;score&quot;: 0},\n &quot;nature&quot;: {&quot;type&quot;: &quot;nature&quot;, &quot;score&quot;: 0},\n &quot;shopping&quot;: {&quot;type&quot;: &quot;shopping&quot;, &quot;score&quot;: 5},\n &quot;max_time_minute&quot;: duration_minutes,\n &quot;detour_tolerance_minute&quot;: 0},\n &quot;start&quot;: [45.7576485, 4.8330241]\n }\n )\n result = response.json()\n landmarks = load_trip_landmarks(client, result[&#x27;first_landmark_uuid&#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[&#x27;total_time&#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 &lt; 30, f&quot;Computation time exceeded 30 seconds: {comp_time:.2f} seconds&quot;\n&gt; assert duration_minutes*0.8 &lt; result[&#x27;total_time&#x27;], f&quot;Trip too short: {result[&#x27;total_time&#x27;]} instead of {duration_minutes}&quot;\nE AssertionError: Trip too short: 94 instead of 240\nE assert (240 * 0.8) &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 &quot;HTTP/1.1 200 OK&quot;\n\n"}]}, "renderCollapsed": ["passed"], "initialSort": "result", "title": "Backend Testing Report"}"></div>
<script>
(function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==typeof require&&require;if(!f&&c)return c(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u="function"==typeof require&&require,i=0;i<t.length;i++)o(t[i]);return o}return r})()({1:[function(require,module,exports){
const { getCollapsedCategory, setCollapsedIds } = require('./storage.js')
class DataManager {
setManager(data) {
const collapsedCategories = [...getCollapsedCategory(data.renderCollapsed)]
const collapsedIds = []
const tests = Object.values(data.tests).flat().map((test, index) => {
const collapsed = collapsedCategories.includes(test.result.toLowerCase())
const id = `test_${index}`
if (collapsed) {
collapsedIds.push(id)
}
return {
...test,
id,
collapsed,
}
})
const dataBlob = { ...data, tests }
this.data = { ...dataBlob }
this.renderData = { ...dataBlob }
setCollapsedIds(collapsedIds)
}
get allData() {
return { ...this.data }
}
resetRender() {
this.renderData = { ...this.data }
}
setRender(data) {
this.renderData.tests = [...data]
}
toggleCollapsedItem(id) {
this.renderData.tests = this.renderData.tests.map((test) =>
test.id === id ? { ...test, collapsed: !test.collapsed } : test,
)
}
set allCollapsed(collapsed) {
this.renderData = { ...this.renderData, tests: [...this.renderData.tests.map((test) => (
{ ...test, collapsed }
))] }
}
get testSubset() {
return [...this.renderData.tests]
}
get environment() {
return this.renderData.environment
}
get initialSort() {
return this.data.initialSort
}
}
module.exports = {
manager: new DataManager(),
}
},{"./storage.js":8}],2:[function(require,module,exports){
const mediaViewer = require('./mediaviewer.js')
const templateEnvRow = document.getElementById('template_environment_row')
const templateResult = document.getElementById('template_results-table__tbody')
function htmlToElements(html) {
const temp = document.createElement('template')
temp.innerHTML = html
return temp.content.childNodes
}
const find = (selector, elem) => {
if (!elem) {
elem = document
}
return elem.querySelector(selector)
}
const findAll = (selector, elem) => {
if (!elem) {
elem = document
}
return [...elem.querySelectorAll(selector)]
}
const dom = {
getStaticRow: (key, value) => {
const envRow = templateEnvRow.content.cloneNode(true)
const isObj = typeof value === 'object' && value !== null
const values = isObj ? Object.keys(value).map((k) => `${k}: ${value[k]}`) : null
const valuesElement = htmlToElements(
values ? `<ul>${values.map((val) => `<li>${val}</li>`).join('')}<ul>` : `<div>${value}</div>`)[0]
const td = findAll('td', envRow)
td[0].textContent = key
td[1].appendChild(valuesElement)
return envRow
},
getResultTBody: ({ testId, id, log, extras, resultsTableRow, tableHtml, result, collapsed }) => {
const resultBody = templateResult.content.cloneNode(true)
resultBody.querySelector('tbody').classList.add(result.toLowerCase())
resultBody.querySelector('tbody').id = testId
resultBody.querySelector('.collapsible').dataset.id = id
resultsTableRow.forEach((html) => {
const t = document.createElement('template')
t.innerHTML = html
resultBody.querySelector('.collapsible').appendChild(t.content)
})
if (log) {
// Wrap lines starting with "E" with span.error to color those lines red
const wrappedLog = log.replace(/^E.*$/gm, (match) => `<span class="error">${match}</span>`)
resultBody.querySelector('.log').innerHTML = wrappedLog
} else {
resultBody.querySelector('.log').remove()
}
if (collapsed) {
resultBody.querySelector('.collapsible > td')?.classList.add('collapsed')
resultBody.querySelector('.extras-row').classList.add('hidden')
} else {
resultBody.querySelector('.collapsible > td')?.classList.remove('collapsed')
}
const media = []
extras?.forEach(({ name, format_type, content }) => {
if (['image', 'video'].includes(format_type)) {
media.push({ path: content, name, format_type })
}
if (format_type === 'html') {
resultBody.querySelector('.extraHTML').insertAdjacentHTML('beforeend', `<div>${content}</div>`)
}
})
mediaViewer.setup(resultBody, media)
// Add custom html from the pytest_html_results_table_html hook
tableHtml?.forEach((item) => {
resultBody.querySelector('td[class="extra"]').insertAdjacentHTML('beforeend', item)
})
return resultBody
},
}
module.exports = {
dom,
htmlToElements,
find,
findAll,
}
},{"./mediaviewer.js":6}],3:[function(require,module,exports){
const { manager } = require('./datamanager.js')
const { doSort } = require('./sort.js')
const storageModule = require('./storage.js')
const getFilteredSubSet = (filter) =>
manager.allData.tests.filter(({ result }) => filter.includes(result.toLowerCase()))
const doInitFilter = () => {
const currentFilter = storageModule.getVisible()
const filteredSubset = getFilteredSubSet(currentFilter)
manager.setRender(filteredSubset)
}
const doFilter = (type, show) => {
if (show) {
storageModule.showCategory(type)
} else {
storageModule.hideCategory(type)
}
const currentFilter = storageModule.getVisible()
const filteredSubset = getFilteredSubSet(currentFilter)
manager.setRender(filteredSubset)
const sortColumn = storageModule.getSort()
doSort(sortColumn, true)
}
module.exports = {
doFilter,
doInitFilter,
}
},{"./datamanager.js":1,"./sort.js":7,"./storage.js":8}],4:[function(require,module,exports){
const { redraw, bindEvents, renderStatic } = require('./main.js')
const { doInitFilter } = require('./filter.js')
const { doInitSort } = require('./sort.js')
const { manager } = require('./datamanager.js')
const data = JSON.parse(document.getElementById('data-container').dataset.jsonblob)
function init() {
manager.setManager(data)
doInitFilter()
doInitSort()
renderStatic()
redraw()
bindEvents()
}
init()
},{"./datamanager.js":1,"./filter.js":3,"./main.js":5,"./sort.js":7}],5:[function(require,module,exports){
const { dom, find, findAll } = require('./dom.js')
const { manager } = require('./datamanager.js')
const { doSort } = require('./sort.js')
const { doFilter } = require('./filter.js')
const {
getVisible,
getCollapsedIds,
setCollapsedIds,
getSort,
getSortDirection,
possibleFilters,
} = require('./storage.js')
const removeChildren = (node) => {
while (node.firstChild) {
node.removeChild(node.firstChild)
}
}
const renderStatic = () => {
const renderEnvironmentTable = () => {
const environment = manager.environment
const rows = Object.keys(environment).map((key) => dom.getStaticRow(key, environment[key]))
const table = document.getElementById('environment')
removeChildren(table)
rows.forEach((row) => table.appendChild(row))
}
renderEnvironmentTable()
}
const addItemToggleListener = (elem) => {
elem.addEventListener('click', ({ target }) => {
const id = target.parentElement.dataset.id
manager.toggleCollapsedItem(id)
const collapsedIds = getCollapsedIds()
if (collapsedIds.includes(id)) {
const updated = collapsedIds.filter((item) => item !== id)
setCollapsedIds(updated)
} else {
collapsedIds.push(id)
setCollapsedIds(collapsedIds)
}
redraw()
})
}
const renderContent = (tests) => {
const sortAttr = getSort(manager.initialSort)
const sortAsc = JSON.parse(getSortDirection())
const rows = tests.map(dom.getResultTBody)
const table = document.getElementById('results-table')
const tableHeader = document.getElementById('results-table-head')
const newTable = document.createElement('table')
newTable.id = 'results-table'
// remove all sorting classes and set the relevant
findAll('.sortable', tableHeader).forEach((elem) => elem.classList.remove('asc', 'desc'))
tableHeader.querySelector(`.sortable[data-column-type="${sortAttr}"]`)?.classList.add(sortAsc ? 'desc' : 'asc')
newTable.appendChild(tableHeader)
if (!rows.length) {
const emptyTable = document.getElementById('template_results-table__body--empty').content.cloneNode(true)
newTable.appendChild(emptyTable)
} else {
rows.forEach((row) => {
if (!!row) {
findAll('.collapsible td:not(.col-links', row).forEach(addItemToggleListener)
find('.logexpander', row).addEventListener('click',
(evt) => evt.target.parentNode.classList.toggle('expanded'),
)
newTable.appendChild(row)
}
})
}
table.replaceWith(newTable)
}
const renderDerived = () => {
const currentFilter = getVisible()
possibleFilters.forEach((result) => {
const input = document.querySelector(`input[data-test-result="${result}"]`)
input.checked = currentFilter.includes(result)
})
}
const bindEvents = () => {
const filterColumn = (evt) => {
const { target: element } = evt
const { testResult } = element.dataset
doFilter(testResult, element.checked)
const collapsedIds = getCollapsedIds()
const updated = manager.renderData.tests.map((test) => {
return {
...test,
collapsed: collapsedIds.includes(test.id),
}
})
manager.setRender(updated)
redraw()
}
const header = document.getElementById('environment-header')
header.addEventListener('click', () => {
const table = document.getElementById('environment')
table.classList.toggle('hidden')
header.classList.toggle('collapsed')
})
findAll('input[name="filter_checkbox"]').forEach((elem) => {
elem.addEventListener('click', filterColumn)
})
findAll('.sortable').forEach((elem) => {
elem.addEventListener('click', (evt) => {
const { target: element } = evt
const { columnType } = element.dataset
doSort(columnType)
redraw()
})
})
document.getElementById('show_all_details').addEventListener('click', () => {
manager.allCollapsed = false
setCollapsedIds([])
redraw()
})
document.getElementById('hide_all_details').addEventListener('click', () => {
manager.allCollapsed = true
const allIds = manager.renderData.tests.map((test) => test.id)
setCollapsedIds(allIds)
redraw()
})
}
const redraw = () => {
const { testSubset } = manager
renderContent(testSubset)
renderDerived()
}
module.exports = {
redraw,
bindEvents,
renderStatic,
}
},{"./datamanager.js":1,"./dom.js":2,"./filter.js":3,"./sort.js":7,"./storage.js":8}],6:[function(require,module,exports){
class MediaViewer {
constructor(assets) {
this.assets = assets
this.index = 0
}
nextActive() {
this.index = this.index === this.assets.length - 1 ? 0 : this.index + 1
return [this.activeFile, this.index]
}
prevActive() {
this.index = this.index === 0 ? this.assets.length - 1 : this.index -1
return [this.activeFile, this.index]
}
get currentIndex() {
return this.index
}
get activeFile() {
return this.assets[this.index]
}
}
const setup = (resultBody, assets) => {
if (!assets.length) {
resultBody.querySelector('.media').classList.add('hidden')
return
}
const mediaViewer = new MediaViewer(assets)
const container = resultBody.querySelector('.media-container')
const leftArrow = resultBody.querySelector('.media-container__nav--left')
const rightArrow = resultBody.querySelector('.media-container__nav--right')
const mediaName = resultBody.querySelector('.media__name')
const counter = resultBody.querySelector('.media__counter')
const imageEl = resultBody.querySelector('img')
const sourceEl = resultBody.querySelector('source')
const videoEl = resultBody.querySelector('video')
const setImg = (media, index) => {
if (media?.format_type === 'image') {
imageEl.src = media.path
imageEl.classList.remove('hidden')
videoEl.classList.add('hidden')
} else if (media?.format_type === 'video') {
sourceEl.src = media.path
videoEl.classList.remove('hidden')
imageEl.classList.add('hidden')
}
mediaName.innerText = media?.name
counter.innerText = `${index + 1} / ${assets.length}`
}
setImg(mediaViewer.activeFile, mediaViewer.currentIndex)
const moveLeft = () => {
const [media, index] = mediaViewer.prevActive()
setImg(media, index)
}
const doRight = () => {
const [media, index] = mediaViewer.nextActive()
setImg(media, index)
}
const openImg = () => {
window.open(mediaViewer.activeFile.path, '_blank')
}
if (assets.length === 1) {
container.classList.add('media-container--fullscreen')
} else {
leftArrow.addEventListener('click', moveLeft)
rightArrow.addEventListener('click', doRight)
}
imageEl.addEventListener('click', openImg)
}
module.exports = {
setup,
}
},{}],7:[function(require,module,exports){
const { manager } = require('./datamanager.js')
const storageModule = require('./storage.js')
const genericSort = (list, key, ascending, customOrder) => {
let sorted
if (customOrder) {
sorted = list.sort((a, b) => {
const aValue = a.result.toLowerCase()
const bValue = b.result.toLowerCase()
const aIndex = customOrder.findIndex((item) => item.toLowerCase() === aValue)
const bIndex = customOrder.findIndex((item) => item.toLowerCase() === bValue)
// Compare the indices to determine the sort order
return aIndex - bIndex
})
} else {
sorted = list.sort((a, b) => a[key] === b[key] ? 0 : a[key] > b[key] ? 1 : -1)
}
if (ascending) {
sorted.reverse()
}
return sorted
}
const durationSort = (list, ascending) => {
const parseDuration = (duration) => {
if (duration.includes(':')) {
// If it's in the format "HH:mm:ss"
const [hours, minutes, seconds] = duration.split(':').map(Number)
return (hours * 3600 + minutes * 60 + seconds) * 1000
} else {
// If it's in the format "nnn ms"
return parseInt(duration)
}
}
const sorted = list.sort((a, b) => parseDuration(a['duration']) - parseDuration(b['duration']))
if (ascending) {
sorted.reverse()
}
return sorted
}
const doInitSort = () => {
const type = storageModule.getSort(manager.initialSort)
const ascending = storageModule.getSortDirection()
const list = manager.testSubset
const initialOrder = ['Error', 'Failed', 'Rerun', 'XFailed', 'XPassed', 'Skipped', 'Passed']
storageModule.setSort(type)
storageModule.setSortDirection(ascending)
if (type?.toLowerCase() === 'original') {
manager.setRender(list)
} else {
let sortedList
switch (type) {
case 'duration':
sortedList = durationSort(list, ascending)
break
case 'result':
sortedList = genericSort(list, type, ascending, initialOrder)
break
default:
sortedList = genericSort(list, type, ascending)
break
}
manager.setRender(sortedList)
}
}
const doSort = (type, skipDirection) => {
const newSortType = storageModule.getSort(manager.initialSort) !== type
const currentAsc = storageModule.getSortDirection()
let ascending
if (skipDirection) {
ascending = currentAsc
} else {
ascending = newSortType ? false : !currentAsc
}
storageModule.setSort(type)
storageModule.setSortDirection(ascending)
const list = manager.testSubset
const sortedList = type === 'duration' ? durationSort(list, ascending) : genericSort(list, type, ascending)
manager.setRender(sortedList)
}
module.exports = {
doInitSort,
doSort,
}
},{"./datamanager.js":1,"./storage.js":8}],8:[function(require,module,exports){
const possibleFilters = [
'passed',
'skipped',
'failed',
'error',
'xfailed',
'xpassed',
'rerun',
]
const getVisible = () => {
const url = new URL(window.location.href)
const settings = new URLSearchParams(url.search).get('visible')
const lower = (item) => {
const lowerItem = item.toLowerCase()
if (possibleFilters.includes(lowerItem)) {
return lowerItem
}
return null
}
return settings === null ?
possibleFilters :
[...new Set(settings?.split(',').map(lower).filter((item) => item))]
}
const hideCategory = (categoryToHide) => {
const url = new URL(window.location.href)
const visibleParams = new URLSearchParams(url.search).get('visible')
const currentVisible = visibleParams ? visibleParams.split(',') : [...possibleFilters]
const settings = [...new Set(currentVisible)].filter((f) => f !== categoryToHide).join(',')
url.searchParams.set('visible', settings)
window.history.pushState({}, null, unescape(url.href))
}
const showCategory = (categoryToShow) => {
if (typeof window === 'undefined') {
return
}
const url = new URL(window.location.href)
const currentVisible = new URLSearchParams(url.search).get('visible')?.split(',').filter(Boolean) ||
[...possibleFilters]
const settings = [...new Set([categoryToShow, ...currentVisible])]
const noFilter = possibleFilters.length === settings.length || !settings.length
noFilter ? url.searchParams.delete('visible') : url.searchParams.set('visible', settings.join(','))
window.history.pushState({}, null, unescape(url.href))
}
const getSort = (initialSort) => {
const url = new URL(window.location.href)
let sort = new URLSearchParams(url.search).get('sort')
if (!sort) {
sort = initialSort || 'result'
}
return sort
}
const setSort = (type) => {
const url = new URL(window.location.href)
url.searchParams.set('sort', type)
window.history.pushState({}, null, unescape(url.href))
}
const getCollapsedCategory = (renderCollapsed) => {
let categories
if (typeof window !== 'undefined') {
const url = new URL(window.location.href)
const collapsedItems = new URLSearchParams(url.search).get('collapsed')
switch (true) {
case !renderCollapsed && collapsedItems === null:
categories = ['passed']
break
case collapsedItems?.length === 0 || /^["']{2}$/.test(collapsedItems):
categories = []
break
case /^all$/.test(collapsedItems) || collapsedItems === null && /^all$/.test(renderCollapsed):
categories = [...possibleFilters]
break
default:
categories = collapsedItems?.split(',').map((item) => item.toLowerCase()) || renderCollapsed
break
}
} else {
categories = []
}
return categories
}
const getSortDirection = () => JSON.parse(sessionStorage.getItem('sortAsc')) || false
const setSortDirection = (ascending) => sessionStorage.setItem('sortAsc', ascending)
const getCollapsedIds = () => JSON.parse(sessionStorage.getItem('collapsedIds')) || []
const setCollapsedIds = (list) => sessionStorage.setItem('collapsedIds', JSON.stringify(list))
module.exports = {
getVisible,
hideCategory,
showCategory,
getCollapsedIds,
setCollapsedIds,
getSort,
setSort,
getSortDirection,
setSortDirection,
getCollapsedCategory,
possibleFilters,
}
},{}]},{},[4]);
</script>
</footer>
</html>