<!DOCTYPE html> <html> <head> <meta charset="utf-8"/> <title id="head-title">Backend Testing Report</title> <style type="text/css">body { font-family: Helvetica, Arial, sans-serif; font-size: 12px; /* do not increase min-width as some may use split screens */ min-width: 800px; color: #999; } h1 { font-size: 24px; color: black; } h2 { font-size: 16px; color: black; } p { color: black; } a { color: #999; } table { border-collapse: collapse; } /****************************** * SUMMARY INFORMATION ******************************/ #environment td { padding: 5px; border: 1px solid #e6e6e6; vertical-align: top; } #environment tr:nth-child(odd) { background-color: #f6f6f6; } #environment ul { margin: 0; padding: 0 20px; } /****************************** * TEST RESULT COLORS ******************************/ span.passed, .passed .col-result { color: green; } span.skipped, span.xfailed, span.rerun, .skipped .col-result, .xfailed .col-result, .rerun .col-result { color: orange; } span.error, span.failed, span.xpassed, .error .col-result, .failed .col-result, .xpassed .col-result { color: red; } .col-links__extra { margin-right: 3px; } /****************************** * RESULTS TABLE * * 1. 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Sorting items *------------------*/ .sortable { cursor: pointer; } .sortable.desc:after { content: " "; position: relative; left: 5px; bottom: -12.5px; border: 10px solid #4caf50; border-bottom: 0; border-left-color: transparent; border-right-color: transparent; } .sortable.asc:after { content: " "; position: relative; left: 5px; bottom: 12.5px; border: 10px solid #4caf50; border-top: 0; border-left-color: transparent; border-right-color: transparent; } .hidden, .summary__reload__button.hidden { display: none; } .summary__data { flex: 0 0 550px; } .summary__reload { flex: 1 1; display: flex; justify-content: center; } .summary__reload__button { flex: 0 0 300px; display: flex; color: white; font-weight: bold; background-color: #4caf50; text-align: center; justify-content: center; align-items: center; border-radius: 3px; cursor: pointer; } .summary__reload__button:hover { background-color: #46a049; } .summary__spacer { flex: 0 0 550px; } .controls { display: flex; justify-content: space-between; } .filters, .collapse { display: flex; align-items: center; } .filters button, .collapse button { color: #999; border: none; background: none; cursor: pointer; text-decoration: underline; } .filters button:hover, .collapse button:hover { color: #ccc; } .filter__label { margin-right: 10px; } </style> </head> <body> <h1 id="title">Backend Testing Report</h1> <p>Report generated on 14-Feb-2025 at 17:18:44 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"> </video> </div> <div class="media-container__nav--right">></div> </div> <div class="media__name"></div> <div class="media__counter"></div> </div> <div class="logwrapper"> <div class="logexpander"></div> <div class="log"></div> </div> </td> </tr> </tbody> </template> <!-- END TEMPLATES --> <div class="summary"> <div class="summary__data"> <h2>Summary</h2> <div class="additional-summary prefix"> </div> <p class="run-count">8 tests took 00:00:45.</p> <p class="filter">(Un)check the boxes to filter the results.</p> <div class="summary__reload"> <div class="summary__reload__button hidden" onclick="location.reload()"> <div>There are still tests running. <br />Reload this page to get the latest results!</div> </div> </div> <div class="summary__spacer"></div> <div class="controls"> <div class="filters"> <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="failed" /> <span class="failed">2 Failed,</span> <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="passed" /> <span class="passed">6 Passed,</span> <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="skipped" disabled/> <span class="skipped">0 Skipped,</span> <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="xfailed" disabled/> <span class="xfailed">0 Expected failures,</span> <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="xpassed" disabled/> <span class="xpassed">0 Unexpected passes,</span> <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="error" disabled/> <span class="error">0 Errors,</span> <input checked="true" class="filter" name="filter_checkbox" type="checkbox" data-test-result="rerun" disabled/> <span class="rerun">0 Reruns</span> </div> <div class="collapse"> <button id="show_all_details">Show all details</button> / <button id="hide_all_details">Hide all details</button> </div> </div> </div> <div class="additional-summary summary"> </div> <div class="additional-summary postfix"> </div> </div> <table id="results-table"> <thead id="results-table-head"> <tr> <th class="sortable" data-column-type="result">Result</th> <th class="sortable" data-column-type="testId">Test</th> <th>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-6.8.0-53-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\">836 ms</td>", "<td class=\"col-links\"></td>"], "log": "------------------------------ Captured log call -------------------------------\nDEBUG src.tests.test_main:test_main.py:32 Running test in Turckheim\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:90 Found 9 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nINFO src.main:main.py:127 Fetched 7 landmarks in \t: 0.015 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 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 0 times, objective value : 455\nDEBUG src.main:main.py:153 First stage optimization\t: 0.028 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 0.024 seconds\nINFO src.main:main.py:155 Total computation time\t: 0.052 seconds\nINFO src.main:main.py:160 Generated a trip of 23 minutes with 4 landmarks in 0.067 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(48.084588, 7.280405), score=0, time_to_next=6]\n\tLandmark(sightseeing): [H\u00f4tel de ville @(48.0874108, 7.2779686), score=238, time_to_next=1]\n\tLandmark(sightseeing): [H\u00f4tel des Deux-Clefs @(48.0871764, 7.2776559), score=217, time_to_next=6]\n\tLandmark(finish): [finish @(48.084588, 7.280405), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\n\n"}], "src/tests/test_main.py::test_bellecour": [{"extras": [], "result": "Passed", "testId": "src/tests/test_main.py::test_bellecour", "resultsTableRow": ["<td class=\"col-result\">Passed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_bellecour</td>", "<td>start (0 | 0) - 11 - Basilique Saint-Martin d'Ainay (304 | 5) - 11 - \u00c9glise Saint-Just (345 | 5) - 9 - \u00c9glise Saint-Ir\u00e9n\u00e9e (211 | 5) - 12 - Fourvi\u00e8re (1785 | 20) - 2 - Esplanade (1748 | 10) - 8 - \u00c9glise Saint-Georges (346 | 5) - 7 - H\u00f4tel de l'Europe (217 | 5) - 2 - Vue sous-terraine du Parking des C\u00e9lestins (565 | 10) - 4 - finish (0 | 0) - 0</td>", "<td>131 min</td>", "<td>120 min</td>", "<td class=\"col-duration\">00:00:07</td>", "<td class=\"col-links\"></td>"], "log": "------------------------------ Captured log call -------------------------------\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:90 Found 162 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 3 different sightseeing clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:99 Fetching nature landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:102 Found 91 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:109 Found 10 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nINFO src.main:main.py:127 Fetched 234 landmarks in \t: 0.057 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 9 times, objective value : 5633\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 : 5521\nDEBUG src.main:main.py:153 First stage optimization\t: 5.288 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 1.903 seconds\nINFO src.main:main.py:155 Total computation time\t: 7.19 seconds\nINFO src.main:main.py:160 Generated a trip of 131 minutes with 10 landmarks in 7.248 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(45.7576485, 4.8330241), score=0, time_to_next=11]\n\tLandmark(sightseeing): [Basilique Saint-Martin d&#x27;Ainay @(45.7536291, 4.8273993), score=304, time_to_next=11]\n\tLandmark(sightseeing): [\u00c9glise Saint-Just @(45.7560083, 4.8204446), score=345, time_to_next=9]\n\tLandmark(sightseeing): [\u00c9glise Saint-Ir\u00e9n\u00e9e @(45.7551213, 4.8136558), score=211, time_to_next=12]\n\tLandmark(sightseeing): [Fourvi\u00e8re @(45.7596274, 4.819224), score=1785, time_to_next=2]\n\tLandmark(nature): [Esplanade @(45.7603525, 4.8205849), score=1748, time_to_next=8]\n\tLandmark(sightseeing): [\u00c9glise Saint-Georges @(45.757672, 4.825388), score=346, time_to_next=7]\n\tLandmark(sightseeing): [H\u00f4tel de l&#x27;Europe @(45.7591956, 4.8304294), score=217, time_to_next=2]\n\tLandmark(nature): [Vue sous-terraine du Parking des C\u00e9lestins @(45.7597666, 4.8318664), score=565, time_to_next=4]\n\tLandmark(finish): [finish @(45.7576485, 4.8330241), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\n\n"}], "src/tests/test_main.py::test_cologne": [{"extras": [], "result": "Passed", "testId": "src/tests/test_main.py::test_cologne", "resultsTableRow": ["<td class=\"col-result\">Passed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_cologne</td>", "<td>start (0 | 0) - 2 - K\u00f6lner Dom (1474 | 10) - 2 - R\u00f6misch-Germanisches Museum (901 | 60) - 5 - Gro\u00df St. Martin (437 | 5) - 13 - K\u00f6ln Triangle (8744 | 10) - 19 - Trinitatiskirche (453 | 5) - 11 - Rathaus (Spanischer Bau) (406 | 5) - 8 - Au\u00dfenspielst\u00e4tte am Offenbachplatz (461 | 5) - 6 - St. Peter (404 | 5) - 1 - St. C\u00e4cilien (409 | 5) - 8 - Kreissparkasse K\u00f6ln (696 | 5) - 12 - St. Gereon (794 | 5) - 10 - Galeria (531 | 30) - 3 - Oper der Stadt K\u00f6ln (601 | 5) - 9 - St.Andreas (474 | 5) - 2 - Excelsior Hotel Ernst (793 | 5) - 2 - finish (0 | 0) - 0</td>", "<td>278 min</td>", "<td>240 min</td>", "<td class=\"col-duration\">00:00:03</td>", "<td class=\"col-links\"></td>"], "log": "------------------------------ Captured log call -------------------------------\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:90 Found 275 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:99 Fetching nature landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:102 Found 61 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:109 Found 5 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 4 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nINFO src.main:main.py:127 Fetched 262 landmarks in \t: 0.055 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 1 times, objective value : 16498\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 : 17578\nDEBUG src.main:main.py:153 First stage optimization\t: 1.144 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 1.879 seconds\nINFO src.main:main.py:155 Total computation time\t: 3.023 seconds\nINFO src.main:main.py:160 Generated a trip of 278 minutes with 17 landmarks in 3.078 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(50.942352665, 6.957777972392), score=0, time_to_next=2]\n\tLandmark(sightseeing): [K\u00f6lner Dom @(50.941307, 6.9581112), score=1474, time_to_next=2]\n\tLandmark(sightseeing): [R\u00f6misch-Germanisches Museum @(50.9406048, 6.9589067), score=901, time_to_next=5]\n\tLandmark(sightseeing): [Gro\u00df St. Martin @(50.9385743, 6.9616193), score=437, time_to_next=13, secondary]\n\tLandmark(nature): [K\u00f6ln Triangle @(50.9403874, 6.9718004), score=8744, time_to_next=19]\n\tLandmark(sightseeing): [Trinitatiskirche @(50.9333896, 6.9607359), score=453, time_to_next=11, secondary]\n\tLandmark(sightseeing): [Rathaus (Spanischer Bau) @(50.9386624, 6.95873), score=406, time_to_next=8, secondary]\n\tLandmark(sightseeing): [Au\u00dfenspielst\u00e4tte am Offenbachplatz @(50.9373497, 6.9522231), score=461, time_to_next=6]\n\tLandmark(sightseeing): [St. Peter @(50.9343733, 6.951778), score=404, time_to_next=1, secondary]\n\tLandmark(sightseeing): [St. C\u00e4cilien @(50.9346933, 6.9516966), score=409, time_to_next=8, secondary]\n\tLandmark(sightseeing): [Kreissparkasse K\u00f6ln @(50.9369529, 6.9464245), score=696, time_to_next=12]\n\tLandmark(sightseeing): [St. Gereon @(50.9432407, 6.9459063), score=794, time_to_next=10]\n\tLandmark(shopping): [Galeria @(50.9383052, 6.9486428), score=531, time_to_next=3]\n\tLandmark(sightseeing): [Oper der Stadt K\u00f6ln @(50.9379922, 6.9512598), score=601, time_to_next=9]\n\tLandmark(sightseeing): [St.Andreas @(50.9419526, 6.9548971), score=474, time_to_next=2]\n\tLandmark(sightseeing): [Excelsior Hotel Ernst @(50.9421627, 6.9563448), score=793, time_to_next=2]\n\tLandmark(finish): [finish @(50.942352665, 6.957777972392), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\n\n"}], "src/tests/test_main.py::test_strasbourg": [{"extras": [], "result": "Passed", "testId": "src/tests/test_main.py::test_strasbourg", "resultsTableRow": ["<td class=\"col-result\">Passed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_strasbourg</td>", "<td>start (0 | 0) - 1 - \u00c9glise Catholique Saint-Jean-Baptiste (211 | 5) - 7 - Toit du Parking Wodli (787 | 10) - 13 - Aubette (347 | 30) - 1 - Monument du G\u00e9n\u00e9ral Kl\u00e9ber (176 | 5) - 4 - Foss\u00e9 du Faux-Rempart (226 | 5) - 5 - Palais du Gouverneur (176 | 5) - 8 - Vue sur Cath\u00e9drale de Strasbourg (787 | 10) - 5 - Pont Saint-Nicolas (217 | 5) - 1 - \u00c9glise Saint-Nicolas (227 | 5) - 4 - \u00c9glise protestante Saint-Thomas (227 | 5) - 2 - Circuit \u00ab Petite France \u00bb (414 | 5) - 7 - Ponts Couverts (197 | 5) - 2 - Barrage Vauban (391 | 5) - 10 - finish (0 | 0) - 0</td>", "<td>170 min</td>", "<td>180 min</td>", "<td class=\"col-duration\">00:00:11</td>", "<td class=\"col-links\"></td>"], "log": "------------------------------ Captured log call -------------------------------\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:90 Found 79 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:99 Fetching nature landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:102 Found 114 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:109 Found 3 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 2 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.main:main.py:127 Fetched 125 landmarks in \t: 0.074 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 18 times, objective value : 4019\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 : 4383\nDEBUG src.main:main.py:153 First stage optimization\t: 7.935 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 2.546 seconds\nINFO src.main:main.py:155 Total computation time\t: 10.482 seconds\nINFO src.main:main.py:160 Generated a trip of 170 minutes with 15 landmarks in 10.556 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(48.5846589226, 7.74078715721), score=0, time_to_next=1]\n\tLandmark(sightseeing): [\u00c9glise Catholique Saint-Jean-Baptiste @(48.584387, 7.7400892), score=211, time_to_next=7]\n\tLandmark(nature): [Toit du Parking Wodli @(48.5873136, 7.7369551), score=787, time_to_next=13]\n\tLandmark(shopping): [Aubette @(48.5838559, 7.7458175), score=347, time_to_next=1]\n\tLandmark(sightseeing): [Monument du G\u00e9n\u00e9ral Kl\u00e9ber @(48.5833724, 7.7457745), score=176, time_to_next=4, secondary]\n\tLandmark(nature): [Foss\u00e9 du Faux-Rempart @(48.5847062, 7.7478973), score=226, time_to_next=5]\n\tLandmark(sightseeing): [Palais du Gouverneur @(48.5851154, 7.751928), score=176, time_to_next=8, secondary]\n\tLandmark(nature): [Vue sur Cath\u00e9drale de Strasbourg @(48.5813364, 7.7495659), score=787, time_to_next=5]\n\tLandmark(sightseeing): [Pont Saint-Nicolas @(48.5787541, 7.7485761), score=217, time_to_next=1]\n\tLandmark(sightseeing): [\u00c9glise Saint-Nicolas @(48.5783593, 7.748501), score=227, time_to_next=4]\n\tLandmark(sightseeing): [\u00c9glise protestante Saint-Thomas @(48.5796572, 7.7456235), score=227, time_to_next=2]\n\tLandmark(sightseeing): [Circuit \u00ab Petite France \u00bb @(48.5807382, 7.7450251), score=414, time_to_next=7]\n\tLandmark(sightseeing): [Ponts Couverts @(48.5800883, 7.739337), score=197, time_to_next=2, secondary]\n\tLandmark(sightseeing): [Barrage Vauban @(48.5795997, 7.7380036), score=391, time_to_next=10]\n\tLandmark(finish): [finish @(48.5846589226, 7.74078715721), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\n\n"}], "src/tests/test_main.py::test_zurich": [{"extras": [], "result": "Passed", "testId": "src/tests/test_main.py::test_zurich", "resultsTableRow": ["<td class=\"col-result\">Passed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_zurich</td>", "<td>start (0 | 0) - 10 - Lindenhof (1018 | 10) - 9 - Polyterrasse (355 | 10) - 12 - Karlsturm (1874 | 10) - 3 - Museum Schweizer Hotellerie und Tourismus (217 | 60) - 8 - B\u00fcrkliplatz (565 | 10) - 3 - Rebekkabrunnen (174 | 5) - 8 - St. Peter (367 | 5) - 6 - St. Anna-Kapelle (155 | 5) - 6 - Globus (369 | 30) - 5 - finish (0 | 0) - 0</td>", "<td>215 min</td>", "<td>180 min</td>", "<td class=\"col-duration\">00:00:08</td>", "<td class=\"col-links\"></td>"], "log": "------------------------------ Captured log call -------------------------------\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:90 Found 84 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:99 Fetching nature landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:102 Found 63 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:109 Found 4 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 3 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nINFO src.main:main.py:127 Fetched 144 landmarks in \t: 0.071 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 12 times, objective value : 6242\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 11 times, objective value : 5094\nDEBUG src.main:main.py:153 First stage optimization\t: 5.93 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 1.868 seconds\nINFO src.main:main.py:155 Total computation time\t: 7.798 seconds\nINFO src.main:main.py:160 Generated a trip of 215 minutes with 11 landmarks in 7.869 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(47.377884227, 8.5395114066), score=0, time_to_next=10]\n\tLandmark(nature): [Lindenhof @(47.3730646, 8.5413876), score=1018, time_to_next=9]\n\tLandmark(nature): [Polyterrasse @(47.3760957, 8.5465161), score=355, time_to_next=12]\n\tLandmark(nature): [Karlsturm @(47.3701486, 8.5436792), score=1874, time_to_next=3]\n\tLandmark(sightseeing): [Museum Schweizer Hotellerie und Tourismus @(47.3693364, 8.5455298), score=217, time_to_next=8]\n\tLandmark(nature): [B\u00fcrkliplatz @(47.3661525, 8.5415251), score=565, time_to_next=3]\n\tLandmark(sightseeing): [Rebekkabrunnen @(47.3670089, 8.5400042), score=174, time_to_next=8]\n\tLandmark(sightseeing): [St. Peter @(47.3710878, 8.540745), score=367, time_to_next=6]\n\tLandmark(sightseeing): [St. Anna-Kapelle @(47.3727574, 8.536799), score=155, time_to_next=6]\n\tLandmark(shopping): [Globus @(47.3757917, 8.5379931), score=369, time_to_next=5]\n\tLandmark(finish): [finish @(47.377884227, 8.5395114066), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\n\n"}], "src/tests/test_main.py::test_paris": [{"extras": [], "result": "Passed", "testId": "src/tests/test_main.py::test_paris", "resultsTableRow": ["<td class=\"col-result\">Passed</td>", "<td class=\"col-testId\">src/tests/test_main.py::test_paris</td>", "<td>start (0 | 0) - 9 - \u00c9glise Saint-Germain l'Auxerrois (496 | 5) - 8 - Pyramide du Louvre (557 | 5) - 3 - Tunnel des Tuileries (506 | 5) - 3 - Palais du Louvre (891 | 5) - 6 - Temple de l'Oratoire du Louvre (630 | 5) - 6 - La Samaritaine (416 | 5) - 8 - Pont au Change (333 | 5) - 4 - Tour Saint-Jacques (793 | 5) - 3 - \u00c9glise Saint-Merri (397 | 5) - 7 - \u00c9glise Saint-Leu - Saint-Gilles (409 | 5) - 6 - Centre Georges Pompidou (1118 | 5) - 10 - Le Marais (858 | 30) - 7 - \u00c9glise Saint-Gervais (367 | 5) - 3 - H\u00f4tel de Ville (672 | 5) - 9 - M\u00e9morial des Martyrs de la D\u00e9portation (624 | 5) - 4 - Cath\u00e9drale Notre-Dame de Paris (1469 | 10) - 9 - Palais de Justice de Paris (531 | 5) - 3 - finish (0 | 0) - 0</td>", "<td>223 min</td>", "<td>200 min</td>", "<td class=\"col-duration\">00:00:07</td>", "<td class=\"col-links\"></td>"], "log": "------------------------------ Captured log call -------------------------------\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:90 Found 428 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:109 Found 12 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 17 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.main:main.py:127 Fetched 364 landmarks in \t: 0.097 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 8 times, objective value : 8982\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 : 11067\nDEBUG src.main:main.py:153 First stage optimization\t: 5.644 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 0.729 seconds\nINFO src.main:main.py:155 Total computation time\t: 6.373 seconds\nINFO src.main:main.py:160 Generated a trip of 223 minutes with 19 landmarks in 6.47 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(48.85468881798671, 2.3423925755998374), score=0, time_to_next=9]\n\tLandmark(sightseeing): [\u00c9glise Saint-Germain l&#x27;Auxerrois @(48.8595016, 2.3413445), score=496, time_to_next=8, secondary]\n\tLandmark(sightseeing): [Pyramide du Louvre @(48.8610132, 2.3358545), score=557, time_to_next=3]\n\tLandmark(sightseeing): [Tunnel des Tuileries @(48.8600483, 2.3345554), score=506, time_to_next=3, secondary]\n\tLandmark(sightseeing): [Palais du Louvre @(48.8614768, 2.3351677), score=891, time_to_next=6]\n\tLandmark(sightseeing): [Temple de l&#x27;Oratoire du Louvre @(48.8616725, 2.3400059), score=630, time_to_next=6]\n\tLandmark(sightseeing): [La Samaritaine @(48.8592672, 2.3424349), score=416, time_to_next=8, secondary]\n\tLandmark(sightseeing): [Pont au Change @(48.8567097, 2.3468433), score=333, time_to_next=4, secondary]\n\tLandmark(sightseeing): [Tour Saint-Jacques @(48.8579983, 2.3489178), score=793, time_to_next=3]\n\tLandmark(sightseeing): [\u00c9glise Saint-Merri @(48.8590777, 2.3508448), score=397, time_to_next=7, secondary]\n\tLandmark(sightseeing): [\u00c9glise Saint-Leu - Saint-Gilles @(48.8628813, 2.3500683), score=409, time_to_next=6, secondary]\n\tLandmark(sightseeing): [Centre Georges Pompidou @(48.8605235, 2.3524395), score=1118, time_to_next=10]\n\tLandmark(shopping): [Le Marais @(48.8576394, 2.3587747), score=858, time_to_next=7]\n\tLandmark(sightseeing): [\u00c9glise Saint-Gervais @(48.8555103, 2.354744), score=367, time_to_next=3, secondary]\n\tLandmark(sightseeing): [H\u00f4tel de Ville @(48.8564265, 2.352527), score=672, time_to_next=9]\n\tLandmark(sightseeing): [M\u00e9morial des Martyrs de la D\u00e9portation @(48.8517365, 2.3524734), score=624, time_to_next=4]\n\tLandmark(sightseeing): [Cath\u00e9drale Notre-Dame de Paris @(48.8529372, 2.3498701), score=1469, time_to_next=9]\n\tLandmark(sightseeing): [Palais de Justice de Paris @(48.8556537, 2.3446072), score=531, time_to_next=3]\n\tLandmark(finish): [finish @(48.85468881798671, 2.3423925755998374), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\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 - New Museum (406 | 60) - 8 - Capitale (810 | 5) - 9 - Saint Patrick's Old Cathedral (489 | 10) - 17 - Collect Pond Park (555 | 5) - 4 - Columbus Park (738 | 5) - 3 - Thomas Paine Park (450 | 5) - 3 - African Burial Ground National Monument (460 | 5) - 11 - Tribeca Park (520 | 5) - 8 - Duane Park (519 | 5) - 3 - Washington Market Park (606 | 5) - 4 - Staple Street Skybridge (565 | 10) - 9 - Albert Capsouto Park (519 | 5) - 1 - Duarte Square (783 | 5) - 34 - Whitney Museum of American Art (546 | 60) - 4 - Southeast Overlook (787 | 10) - 1 - Little Island (406 | 5) - 5 - Free Public Stargazing (1874 | 10) - 25 - Judson Memorial Church (388 | 5) - 16 - Union Square Park (738 | 5) - 10 - Flatiron Building (780 | 5) - 3 - Madison Square Park (738 | 5) - 32 - finish (0 | 0) - 0</td>", "<td>452 min</td>", "<td>600 min</td>", "<td class=\"col-duration\">00:00:06</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x7eb9f464ddf0&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;user_id&quot;: USER_ID,\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 supabase.increment_credit_balance(user_id=USER_ID)\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: 452 instead of 600\nE assert (600 * 0.8) &lt; 452\n\nsrc/tests/test_main.py:327: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:87 Fetching sightseeing landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:90 Found 137 sightseeing landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:145 Found 0 sightseeing clusters.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:99 Fetching nature landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:102 Found 132 nature landmarks\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:109 Found 4 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 2/2 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nINFO src.main:main.py:127 Fetched 266 landmarks in \t: 0.047 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 12 times, objective value : 8707\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 15 times, objective value : 13677\nDEBUG src.main:main.py:153 First stage optimization\t: 4.369 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 1.208 seconds\nINFO src.main:main.py:155 Total computation time\t: 5.576 seconds\nINFO src.main:main.py:160 Generated a trip of 452 minutes with 23 landmarks in 5.624 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(40.72592726802, -73.9920434795), score=0, time_to_next=7]\n\tLandmark(sightseeing): [New Museum @(40.722347, -73.9928349), score=406, time_to_next=8, secondary]\n\tLandmark(sightseeing): [Capitale @(40.7189209, -73.9951923), score=810, time_to_next=9]\n\tLandmark(sightseeing): [Saint Patrick&#x27;s Old Cathedral @(40.723587, -73.995193), score=489, time_to_next=17, secondary]\n\tLandmark(nature): [Collect Pond Park @(40.716296, -74.0018559), score=555, time_to_next=4, secondary]\n\tLandmark(nature): [Columbus Park @(40.715093, -74.0000527), score=738, time_to_next=3]\n\tLandmark(nature): [Thomas Paine Park @(40.7147806, -74.0023618), score=450, time_to_next=3, secondary]\n\tLandmark(sightseeing): [African Burial Ground National Monument @(40.7145261, -74.004464), score=460, time_to_next=11, secondary]\n\tLandmark(nature): [Tribeca Park @(40.7202231, -74.0057003), score=520, time_to_next=8, secondary]\n\tLandmark(nature): [Duane Park @(40.7171626, -74.0094072), score=519, time_to_next=3, secondary]\n\tLandmark(nature): [Washington Market Park @(40.7170293, -74.0116432), score=606, time_to_next=4]\n\tLandmark(nature): [Staple Street Skybridge @(40.7183436, -74.0094133), score=565, time_to_next=9]\n\tLandmark(nature): [Albert Capsouto Park @(40.7220728, -74.0058909), score=519, time_to_next=1, secondary]\n\tLandmark(nature): [Duarte Square @(40.7225426, -74.005495), score=783, time_to_next=34]\n\tLandmark(sightseeing): [Whitney Museum of American Art @(40.739633, -74.0089385), score=546, time_to_next=4, secondary]\n\tLandmark(nature): [Southeast Overlook @(40.7416246, -74.0102566), score=787, time_to_next=1]\n\tLandmark(sightseeing): [Little Island @(40.7420048, -74.0106097), score=406, time_to_next=5, secondary]\n\tLandmark(nature): [Free Public Stargazing @(40.740586, -74.0081171), score=1874, time_to_next=25]\n\tLandmark(sightseeing): [Judson Memorial Church @(40.7301922, -73.9984067), score=388, time_to_next=16, secondary]\n\tLandmark(nature): [Union Square Park @(40.7358088, -73.9904565), score=738, time_to_next=10]\n\tLandmark(sightseeing): [Flatiron Building @(40.74103, -73.9896864), score=780, time_to_next=3]\n\tLandmark(nature): [Madison Square Park @(40.7421868, -73.987872), score=738, time_to_next=32]\n\tLandmark(finish): [finish @(40.72592726802, -73.9920434795), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\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) - 9 - Cordeliers (810 | 30) - 9 - finish (0 | 0) - 0</td>", "<td>48 min</td>", "<td>240 min</td>", "<td class=\"col-duration\">00:00:02</td>", "<td class=\"col-links\"></td>"], "log": "client = &lt;starlette.testclient.TestClient object at 0x7eb9f464ddf0&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;user_id&quot;: USER_ID,\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 supabase.increment_credit_balance(user_id=USER_ID)\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: 48 instead of 240\nE assert (240 * 0.8) &lt; 48\n\nsrc/tests/test_main.py:370: AssertionError\n\n------------------------------ Captured log call -------------------------------\nDEBUG asyncio:selector_events.py:64 Using selector: EpollSelector\nDEBUG src.payments.supabase:supabase.py:69 Credits of user e6dae20d-50ed-4241-8e16-af1ad1f3572f: 999999\nINFO src.payments.supabase:supabase.py:72 Credit balance is positive for user e6dae20d-50ed-4241-8e16-af1ad1f3572f. Proceeding with trip generation.\nINFO src.main:main.py:90 No end coordinates provided. Using start=end.\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:75 Starting to fetch landmarks...\nDEBUG src.utils.landmarks_manager:landmarks_manager.py:107 Fetching shopping landmarks...\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.landmarks_manager:landmarks_manager.py:109 Found 10 shopping landmarks\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 4/4 quadrants.\nINFO src.utils.cluster_manager:cluster_manager.py:137 Found 5 different shopping clusters.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nDEBUG src.overpass.overpass:overpass.py:55 Cache hit for 1/1 quadrants.\nINFO src.main:main.py:127 Fetched 13 landmarks in \t: 0.01 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 : 2422\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 11 times, objective value : 810\nDEBUG src.main:main.py:153 First stage optimization\t: 0.478 seconds\nDEBUG src.main:main.py:154 Second stage optimization\t: 1.085 seconds\nINFO src.main:main.py:155 Total computation time\t: 1.563 seconds\nINFO src.main:main.py:160 Generated a trip of 48 minutes with 3 landmarks in 1.573 seconds.\nDEBUG src.main:main.py:161 Detailed trip :\n\tLandmark(start): [start @(45.7576485, 4.8330241), score=0, time_to_next=9]\n\tLandmark(shopping): [Cordeliers @(45.7622486, 4.8337886), score=810, time_to_next=9]\n\tLandmark(finish): [finish @(45.7576485, 4.8330241), score=0]\nDEBUG src.payments.supabase:supabase.py:121 Credit balance successfully decremented.\nDEBUG src.payments.supabase:supabase.py:168 Credit balance successfully decremented.\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>