Codex Task Logs

Task ID: task_e_682f87d42ce4832398c3ffa8f4850163

Environment setup
Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) python-slugify ------------------------------ 9.82 KiB/9.82 KiB itsdangerous ------------------------------ 14.88 KiB/15.85 KiB pytest-playwright ------------------------------ 16.23 KiB/16.23 KiB markupsafe ------------------------------ 22.58 KiB/22.58 KiB execnet ------------------------------ 30.88 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 32.00 KiB/63.41 KiB packaging ------------------------------ 32.00 KiB/64.91 KiB click ------------------------------ 64.00 KiB/99.76 KiB flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 95.55 KiB/125.66 KiB jinja2 ------------------------------ 112.00 KiB/131.74 KiB charset-normalizer ------------------------------ 125.67 KiB/145.08 KiB werkzeug ------------------------------ 62.88 KiB/219.24 KiB python-dateutil ------------------------------ 224.50 KiB/224.50 KiB pytest ------------------------------ 30.88 KiB/335.58 KiB greenlet ------------------------------ 16.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 109.03 KiB/11.02 MiB duckdb ------------------------------ 350.91 KiB/19.27 MiB playwright ------------------------------ 63.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) python-slugify ------------------------------ 9.82 KiB/9.82 KiB itsdangerous ------------------------------ 14.88 KiB/15.85 KiB markupsafe ------------------------------ 22.58 KiB/22.58 KiB execnet ------------------------------ 30.88 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 32.00 KiB/63.41 KiB packaging ------------------------------ 32.00 KiB/64.91 KiB click ------------------------------ 64.00 KiB/99.76 KiB flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 95.55 KiB/125.66 KiB jinja2 ------------------------------ 112.00 KiB/131.74 KiB charset-normalizer ------------------------------ 125.67 KiB/145.08 KiB werkzeug ------------------------------ 62.88 KiB/219.24 KiB python-dateutil ------------------------------ 224.50 KiB/224.50 KiB pytest ------------------------------ 30.88 KiB/335.58 KiB greenlet ------------------------------ 16.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 109.03 KiB/11.02 MiB duckdb ------------------------------ 366.91 KiB/19.27 MiB playwright ------------------------------ 63.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) itsdangerous ------------------------------ 14.88 KiB/15.85 KiB markupsafe ------------------------------ 22.58 KiB/22.58 KiB execnet ------------------------------ 30.88 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 32.00 KiB/63.41 KiB packaging ------------------------------ 32.00 KiB/64.91 KiB click ------------------------------ 64.00 KiB/99.76 KiB flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 95.55 KiB/125.66 KiB jinja2 ------------------------------ 128.00 KiB/131.74 KiB charset-normalizer ------------------------------ 141.67 KiB/145.08 KiB werkzeug ------------------------------ 78.88 KiB/219.24 KiB python-dateutil ------------------------------ 224.50 KiB/224.50 KiB pytest ------------------------------ 46.88 KiB/335.58 KiB greenlet ------------------------------ 16.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 141.03 KiB/11.02 MiB duckdb ------------------------------ 382.91 KiB/19.27 MiB playwright ------------------------------ 63.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) itsdangerous ------------------------------ 14.88 KiB/15.85 KiB markupsafe ------------------------------ 22.58 KiB/22.58 KiB execnet ------------------------------ 30.88 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB urllib3 ------------------------------ 95.55 KiB/125.66 KiB jinja2 ------------------------------ 128.00 KiB/131.74 KiB charset-normalizer ------------------------------ 141.67 KiB/145.08 KiB werkzeug ------------------------------ 78.88 KiB/219.24 KiB python-dateutil ------------------------------ 224.50 KiB/224.50 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 32.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 189.03 KiB/11.02 MiB duckdb ------------------------------ 408.56 KiB/19.27 MiB playwright ------------------------------ 63.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB markupsafe ------------------------------ 22.58 KiB/22.58 KiB execnet ------------------------------ 30.88 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB urllib3 ------------------------------ 95.55 KiB/125.66 KiB jinja2 ------------------------------ 128.00 KiB/131.74 KiB charset-normalizer ------------------------------ 141.67 KiB/145.08 KiB werkzeug ------------------------------ 78.88 KiB/219.24 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 32.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 189.03 KiB/11.02 MiB duckdb ------------------------------ 424.56 KiB/19.27 MiB playwright ------------------------------ 63.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB execnet ------------------------------ 30.88 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB urllib3 ------------------------------ 95.55 KiB/125.66 KiB jinja2 ------------------------------ 128.00 KiB/131.74 KiB charset-normalizer ------------------------------ 141.67 KiB/145.08 KiB werkzeug ------------------------------ 78.88 KiB/219.24 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 32.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 189.03 KiB/11.02 MiB duckdb ------------------------------ 424.56 KiB/19.27 MiB playwright ------------------------------ 63.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB urllib3 ------------------------------ 111.55 KiB/125.66 KiB jinja2 ------------------------------ 128.00 KiB/131.74 KiB charset-normalizer ------------------------------ 141.67 KiB/145.08 KiB werkzeug ------------------------------ 78.88 KiB/219.24 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 32.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 221.03 KiB/11.02 MiB duckdb ------------------------------ 456.56 KiB/19.27 MiB playwright ------------------------------ 63.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 39.66 KiB/39.66 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB click ------------------------------ 96.00 KiB/99.76 KiB urllib3 ------------------------------ 111.55 KiB/125.66 KiB jinja2 ------------------------------ 128.00 KiB/131.74 KiB charset-normalizer ------------------------------ 141.67 KiB/145.08 KiB werkzeug ------------------------------ 94.88 KiB/219.24 KiB pytest ------------------------------ 76.02 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 253.03 KiB/11.02 MiB duckdb ------------------------------ 488.56 KiB/19.27 MiB playwright ------------------------------ 79.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 39.66 KiB/39.66 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB click ------------------------------ 99.76 KiB/99.76 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB werkzeug ------------------------------ 94.88 KiB/219.24 KiB pytest ------------------------------ 108.02 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 60.43 KiB/5.31 MiB ruff ------------------------------ 333.03 KiB/11.02 MiB duckdb ------------------------------ 568.56 KiB/19.27 MiB playwright ------------------------------ 79.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 39.66 KiB/39.66 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB click ------------------------------ 99.76 KiB/99.76 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 94.88 KiB/219.24 KiB pytest ------------------------------ 108.02 KiB/335.58 KiB greenlet ------------------------------ 63.13 KiB/589.71 KiB pyright ------------------------------ 108.43 KiB/5.31 MiB ruff ------------------------------ 381.03 KiB/11.02 MiB duckdb ------------------------------ 616.56 KiB/19.27 MiB playwright ------------------------------ 95.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 39.66 KiB/39.66 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 94.88 KiB/219.24 KiB pytest ------------------------------ 124.02 KiB/335.58 KiB greenlet ------------------------------ 63.13 KiB/589.71 KiB pyright ------------------------------ 140.43 KiB/5.31 MiB ruff ------------------------------ 413.03 KiB/11.02 MiB duckdb ------------------------------ 648.56 KiB/19.27 MiB playwright ------------------------------ 95.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 94.88 KiB/219.24 KiB pytest ------------------------------ 124.02 KiB/335.58 KiB greenlet ------------------------------ 79.13 KiB/589.71 KiB pyright ------------------------------ 140.43 KiB/5.31 MiB ruff ------------------------------ 413.03 KiB/11.02 MiB duckdb ------------------------------ 648.56 KiB/19.27 MiB playwright ------------------------------ 95.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) packaging ------------------------------ 64.91 KiB/64.91 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 94.88 KiB/219.24 KiB pytest ------------------------------ 124.02 KiB/335.58 KiB greenlet ------------------------------ 79.13 KiB/589.71 KiB pyright ------------------------------ 156.43 KiB/5.31 MiB ruff ------------------------------ 429.03 KiB/11.02 MiB duckdb ------------------------------ 664.56 KiB/19.27 MiB playwright ------------------------------ 95.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 110.88 KiB/219.24 KiB pytest ------------------------------ 124.02 KiB/335.58 KiB greenlet ------------------------------ 79.13 KiB/589.71 KiB pyright ------------------------------ 156.43 KiB/5.31 MiB ruff ------------------------------ 429.03 KiB/11.02 MiB duckdb ------------------------------ 680.56 KiB/19.27 MiB playwright ------------------------------ 95.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 110.88 KiB/219.24 KiB pytest ------------------------------ 140.02 KiB/335.58 KiB greenlet ------------------------------ 111.13 KiB/589.71 KiB pyright ------------------------------ 188.43 KiB/5.31 MiB ruff ------------------------------ 461.03 KiB/11.02 MiB duckdb ------------------------------ 712.56 KiB/19.27 MiB playwright ------------------------------ 95.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) werkzeug ------------------------------ 110.88 KiB/219.24 KiB pytest ------------------------------ 140.02 KiB/335.58 KiB greenlet ------------------------------ 127.13 KiB/589.71 KiB pyright ------------------------------ 204.43 KiB/5.31 MiB ruff ------------------------------ 461.03 KiB/11.02 MiB duckdb ------------------------------ 712.56 KiB/19.27 MiB playwright ------------------------------ 95.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) werkzeug ------------------------------ 142.88 KiB/219.24 KiB pytest ------------------------------ 204.02 KiB/335.58 KiB greenlet ------------------------------ 463.13 KiB/589.71 KiB pyright ------------------------------ 588.43 KiB/5.31 MiB ruff ------------------------------ 877.03 KiB/11.02 MiB duckdb ------------------------------ 1.06 MiB/19.27 MiB playwright ------------------------------ 159.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) werkzeug ------------------------------ 206.88 KiB/219.24 KiB pytest ------------------------------ 252.02 KiB/335.58 KiB greenlet ------------------------------ 479.13 KiB/589.71 KiB pyright ------------------------------ 1.05 MiB/5.31 MiB ruff ------------------------------ 1.33 MiB/11.02 MiB duckdb ------------------------------ 1.52 MiB/19.27 MiB playwright ------------------------------ 607.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest ------------------------------ 316.02 KiB/335.58 KiB greenlet ------------------------------ 495.13 KiB/589.71 KiB pyright ------------------------------ 1.28 MiB/5.31 MiB ruff ------------------------------ 1.56 MiB/11.02 MiB duckdb ------------------------------ 1.76 MiB/19.27 MiB playwright ------------------------------ 847.29 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest ------------------------------ 332.02 KiB/335.58 KiB greenlet ------------------------------ 495.13 KiB/589.71 KiB pyright ------------------------------ 1.45 MiB/5.31 MiB ruff ------------------------------ 1.87 MiB/11.02 MiB duckdb ------------------------------ 2.06 MiB/19.27 MiB playwright ------------------------------ 1.13 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) greenlet ------------------------------ 511.13 KiB/589.71 KiB pyright ------------------------------ 1.62 MiB/5.31 MiB ruff ------------------------------ 2.09 MiB/11.02 MiB duckdb ------------------------------ 2.28 MiB/19.27 MiB playwright ------------------------------ 1.34 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) greenlet ------------------------------ 559.13 KiB/589.71 KiB pyright ------------------------------ 1.79 MiB/5.31 MiB ruff ------------------------------ 2.55 MiB/11.02 MiB duckdb ------------------------------ 2.73 MiB/19.27 MiB playwright ------------------------------ 1.80 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.81 MiB/5.31 MiB ruff ------------------------------ 3.19 MiB/11.02 MiB duckdb ------------------------------ 3.38 MiB/19.27 MiB playwright ------------------------------ 2.45 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.81 MiB/5.31 MiB ruff ------------------------------ 3.22 MiB/11.02 MiB duckdb ------------------------------ 3.39 MiB/19.27 MiB playwright ------------------------------ 2.47 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.84 MiB/5.31 MiB ruff ------------------------------ 3.90 MiB/11.02 MiB duckdb ------------------------------ 4.08 MiB/19.27 MiB playwright ------------------------------ 3.19 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.89 MiB/5.31 MiB ruff ------------------------------ 4.67 MiB/11.02 MiB duckdb ------------------------------ 4.85 MiB/19.27 MiB playwright ------------------------------ 3.97 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.92 MiB/5.31 MiB ruff ------------------------------ 5.41 MiB/11.02 MiB duckdb ------------------------------ 5.56 MiB/19.27 MiB playwright ------------------------------ 4.72 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.97 MiB/5.31 MiB ruff ------------------------------ 6.20 MiB/11.02 MiB duckdb ------------------------------ 6.37 MiB/19.27 MiB playwright ------------------------------ 5.53 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 2.00 MiB/5.31 MiB ruff ------------------------------ 7.03 MiB/11.02 MiB duckdb ------------------------------ 7.17 MiB/19.27 MiB playwright ------------------------------ 6.32 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 2.05 MiB/5.31 MiB ruff ------------------------------ 7.80 MiB/11.02 MiB duckdb ------------------------------ 7.95 MiB/19.27 MiB playwright ------------------------------ 7.11 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.08 MiB/5.31 MiB ruff ------------------------------ 8.53 MiB/11.02 MiB duckdb ------------------------------ 8.67 MiB/19.27 MiB playwright ------------------------------ 7.83 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.11 MiB/5.31 MiB ruff ------------------------------ 9.31 MiB/11.02 MiB duckdb ------------------------------ 9.46 MiB/19.27 MiB playwright ------------------------------ 8.61 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.12 MiB/5.31 MiB ruff ------------------------------ 10.06 MiB/11.02 MiB duckdb ------------------------------ 10.23 MiB/19.27 MiB playwright ------------------------------ 9.37 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.16 MiB/5.31 MiB ruff ------------------------------ 10.90 MiB/11.02 MiB duckdb ------------------------------ 11.06 MiB/19.27 MiB playwright ------------------------------ 10.22 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.16 MiB/5.31 MiB duckdb ------------------------------ 11.24 MiB/19.27 MiB playwright ------------------------------ 10.40 MiB/43.05 MiB Built scubaduck @ file:///workspace/scubaduck ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.17 MiB/5.31 MiB duckdb ------------------------------ 12.00 MiB/19.27 MiB playwright ------------------------------ 11.17 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.17 MiB/5.31 MiB duckdb ------------------------------ 12.06 MiB/19.27 MiB playwright ------------------------------ 11.23 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.19 MiB/5.31 MiB duckdb ------------------------------ 13.20 MiB/19.27 MiB playwright ------------------------------ 12.39 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.20 MiB/5.31 MiB duckdb ------------------------------ 14.47 MiB/19.27 MiB playwright ------------------------------ 13.67 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.22 MiB/5.31 MiB duckdb ------------------------------ 15.72 MiB/19.27 MiB playwright ------------------------------ 14.89 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.23 MiB/5.31 MiB duckdb ------------------------------ 16.94 MiB/19.27 MiB playwright ------------------------------ 16.12 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.25 MiB/5.31 MiB duckdb ------------------------------ 18.07 MiB/19.27 MiB playwright ------------------------------ 17.26 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.26 MiB/5.31 MiB duckdb ------------------------------ 19.13 MiB/19.27 MiB playwright ------------------------------ 18.30 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.34 MiB/5.31 MiB playwright ------------------------------ 20.06 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.34 MiB/5.31 MiB playwright ------------------------------ 20.09 MiB/43.05 MiB ⠇ Preparing packages... (31/33) pyright ------------------------------ 2.39 MiB/5.31 MiB playwright ------------------------------ 22.25 MiB/43.05 MiB ⠇ Preparing packages... (31/33) pyright ------------------------------ 2.42 MiB/5.31 MiB playwright ------------------------------ 24.72 MiB/43.05 MiB ⠇ Preparing packages... (31/33) pyright ------------------------------ 2.44 MiB/5.31 MiB playwright ------------------------------ 27.17 MiB/43.05 MiB ⠇ Preparing packages... (31/33) pyright ------------------------------ 2.45 MiB/5.31 MiB playwright ------------------------------ 29.76 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.48 MiB/5.31 MiB playwright ------------------------------ 32.25 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.51 MiB/5.31 MiB playwright ------------------------------ 34.56 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.55 MiB/5.31 MiB playwright ------------------------------ 36.86 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.58 MiB/5.31 MiB playwright ------------------------------ 39.23 MiB/43.05 MiB ⠙ Preparing packages... (31/33) pyright ------------------------------ 2.61 MiB/5.31 MiB playwright ------------------------------ 40.89 MiB/43.05 MiB ⠙ Preparing packages... 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(32/33) Prepared 33 packages in 2.53s ░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] itsdangerous==2.2.0 ░░░░░░░░░░░░░░░░░░░░ [1/33] itsdangerous==2.2.0 ░░░░░░░░░░░░░░░░░░░░ [1/33] blinker==1.9.0 █░░░░░░░░░░░░░░░░░░░ [2/33] blinker==1.9.0 █░░░░░░░░░░░░░░░░░░░ [2/33] nodeenv==1.9.1 █░░░░░░░░░░░░░░░░░░░ [3/33] nodeenv==1.9.1 █░░░░░░░░░░░░░░░░░░░ [3/33] pytest-xdist==3.6.1 ██░░░░░░░░░░░░░░░░░░ [4/33] pytest-xdist==3.6.1 ██░░░░░░░░░░░░░░░░░░ [4/33] six==1.17.0 ███░░░░░░░░░░░░░░░░░ [5/33] six==1.17.0 ███░░░░░░░░░░░░░░░░░ [5/33] certifi==2025.4.26 ███░░░░░░░░░░░░░░░░░ [6/33] certifi==2025.4.26 ███░░░░░░░░░░░░░░░░░ [6/33] jinja2==3.1.6 ████░░░░░░░░░░░░░░░░ [7/33] jinja2==3.1.6 ████░░░░░░░░░░░░░░░░ [7/33] iniconfig==2.1.0 ████░░░░░░░░░░░░░░░░ [8/33] iniconfig==2.1.0 ████░░░░░░░░░░░░░░░░ [8/33] typing-extensions==4.13.2 █████░░░░░░░░░░░░░░░ [9/33] typing-extensions==4.13.2 ███████████████████░ [32/33] pyright==1.1.400 ████████████████████ [33/33] pyright==1.1.400 Installed 33 packages in 102ms + blinker==1.9.0 + certifi==2025.4.26 + charset-normalizer==3.4.2 + click==8.2.0 + duckdb==1.2.2 + execnet==2.1.1 + flask==3.1.1 + greenlet==3.2.2 + idna==3.10 + iniconfig==2.1.0 + itsdangerous==2.2.0 + jinja2==3.1.6 + markupsafe==3.0.2 + nodeenv==1.9.1 + packaging==25.0 + playwright==1.52.0 + pluggy==1.6.0 + pyee==13.0.0 + pyright==1.1.400 + pytest==8.3.5 + pytest-base-url==2.1.0 + pytest-playwright==0.7.0 + pytest-xdist==3.6.1 + python-dateutil==2.9.0.post0 + python-slugify==8.0.4 + requests==2.32.3 + ruff==0.11.10 + scubaduck==0.1.0 (from file:///workspace/scubaduck) + six==1.17.0 + text-unidecode==1.3 + typing-extensions==4.13.2 + urllib3==2.4.0 + werkzeug==3.1.3 ++ source .venv/bin/activate +++ '[' -z '' ']' +++ '[' -n x ']' +++ SCRIPT_PATH=.venv/bin/activate +++ '[' .venv/bin/activate = /tmp/TiOH3N-setup_script.sh ']' +++ deactivate nondestructive +++ unset -f pydoc +++ '[' -z '' ']' +++ '[' -z '' ']' +++ hash -r +++ '[' -z '' ']' +++ unset VIRTUAL_ENV +++ unset VIRTUAL_ENV_PROMPT +++ '[' '!' nondestructive = nondestructive ']' +++ VIRTUAL_ENV=/workspace/scubaduck/.venv +++ '[' linux-gnu = cygwin ']' +++ '[' linux-gnu = msys ']' +++ export VIRTUAL_ENV +++ '[' -z '' ']' +++ unset SCRIPT_PATH +++ _OLD_VIRTUAL_PATH=/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.15.1/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ PATH=/workspace/scubaduck/.venv/bin:/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.15.1/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ export PATH +++ '[' xscubaduck '!=' x ']' +++ VIRTUAL_ENV_PROMPT='(scubaduck) ' +++ export VIRTUAL_ENV_PROMPT +++ '[' -z '' ']' +++ '[' -z '' ']' +++ _OLD_VIRTUAL_PS1= +++ PS1='(scubaduck) ' +++ export PS1 +++ alias pydoc +++ true +++ hash -r ++ python -c 'import os; import duckdb; con = duckdb.connect(); con.execute(f"SET http_proxy = '\''{os.getenv("HTTP_PROXY")}'\''"); con.execute("INSTALL '\''sqlite'\'';")' ++ playwright install chromium Downloading Chromium 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-linux.zip 167.7 MiB [] 0% 0.0s167.7 MiB [] 0% 24.9s167.7 MiB [] 0% 33.4s167.7 MiB [] 0% 29.8s167.7 MiB [] 0% 24.9s167.7 MiB [] 0% 16.7s167.7 MiB [] 0% 11.0s167.7 MiB [] 1% 9.5s167.7 MiB [] 1% 8.9s167.7 MiB [] 2% 6.7s167.7 MiB [] 3% 5.0s167.7 MiB [] 3% 4.6s167.7 MiB [] 4% 4.3s167.7 MiB [] 4% 4.2s167.7 MiB [] 4% 4.4s167.7 MiB [] 5% 4.0s167.7 MiB [] 6% 3.8s167.7 MiB [] 7% 3.7s167.7 MiB [] 8% 3.5s167.7 MiB [] 9% 3.2s167.7 MiB [] 9% 3.3s167.7 MiB [] 10% 3.3s167.7 MiB [] 11% 3.1s167.7 MiB [] 13% 3.0s167.7 MiB [] 13% 3.1s167.7 MiB [] 14% 3.1s167.7 MiB [] 14% 3.2s167.7 MiB [] 15% 3.1s167.7 MiB [] 15% 3.2s167.7 MiB [] 16% 3.2s167.7 MiB [] 17% 3.1s167.7 MiB [] 19% 2.9s167.7 MiB [] 20% 2.8s167.7 MiB [] 21% 2.7s167.7 MiB [] 21% 2.9s167.7 MiB [] 22% 2.8s167.7 MiB [] 22% 2.9s167.7 MiB [] 23% 2.8s167.7 MiB [] 25% 2.7s167.7 MiB [] 26% 2.6s167.7 MiB [] 27% 2.6s167.7 MiB [] 28% 2.5s167.7 MiB [] 29% 2.4s167.7 MiB [] 31% 2.3s167.7 MiB [] 32% 2.3s167.7 MiB [] 33% 2.2s167.7 MiB [] 34% 2.1s167.7 MiB [] 35% 2.0s167.7 MiB [] 36% 2.0s167.7 MiB [] 38% 1.9s167.7 MiB [] 39% 1.9s167.7 MiB [] 40% 1.8s167.7 MiB [] 41% 1.8s167.7 MiB [] 42% 1.8s167.7 MiB [] 43% 1.8s167.7 MiB [] 44% 1.8s167.7 MiB [] 45% 1.7s167.7 MiB [] 46% 1.7s167.7 MiB [] 47% 1.7s167.7 MiB [] 47% 1.6s167.7 MiB [] 48% 1.6s167.7 MiB [] 49% 1.6s167.7 MiB [] 50% 1.6s167.7 MiB [] 51% 1.5s167.7 MiB [] 51% 1.6s167.7 MiB [] 52% 1.5s167.7 MiB [] 53% 1.5s167.7 MiB [] 54% 1.4s167.7 MiB [] 54% 1.5s167.7 MiB [] 55% 1.5s167.7 MiB [] 56% 1.5s167.7 MiB [] 57% 1.4s167.7 MiB [] 58% 1.4s167.7 MiB [] 59% 1.3s167.7 MiB [] 60% 1.3s167.7 MiB [] 61% 1.3s167.7 MiB [] 62% 1.3s167.7 MiB [] 63% 1.2s167.7 MiB [] 64% 1.2s167.7 MiB [] 65% 1.1s167.7 MiB [] 66% 1.1s167.7 MiB [] 67% 1.1s167.7 MiB [] 69% 1.0s167.7 MiB [] 70% 1.0s167.7 MiB [] 71% 0.9s167.7 MiB [] 72% 0.9s167.7 MiB [] 73% 0.9s167.7 MiB [] 74% 0.9s167.7 MiB [] 75% 0.8s167.7 MiB [] 76% 0.8s167.7 MiB [] 77% 0.7s167.7 MiB [] 78% 0.7s167.7 MiB [] 79% 0.7s167.7 MiB [] 81% 0.6s167.7 MiB [] 82% 0.6s167.7 MiB [] 82% 0.5s167.7 MiB [] 83% 0.5s167.7 MiB [] 84% 0.5s167.7 MiB [] 85% 0.5s167.7 MiB [] 85% 0.4s167.7 MiB [] 86% 0.4s167.7 MiB [] 87% 0.4s167.7 MiB [] 88% 0.4s167.7 MiB [] 89% 0.3s167.7 MiB [] 90% 0.3s167.7 MiB [] 91% 0.3s167.7 MiB [] 92% 0.3s167.7 MiB [] 93% 0.2s167.7 MiB [] 94% 0.2s167.7 MiB [] 95% 0.1s167.7 MiB [] 96% 0.1s167.7 MiB [] 97% 0.1s167.7 MiB [] 99% 0.0s167.7 MiB [] 100% 0.0s Chromium 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium-1169 Downloading FFMPEG playwright build v1011 from https://cdn.playwright.dev/dbazure/download/playwright/builds/ffmpeg/1011/ffmpeg-linux.zip 2.3 MiB [] 0% 0.0s2.3 MiB [] 4% 0.3s2.3 MiB [] 10% 0.3s2.3 MiB [] 21% 0.2s2.3 MiB [] 45% 0.1s2.3 MiB [] 87% 0.0s2.3 MiB [] 100% 0.0s FFMPEG playwright build v1011 downloaded to /root/.cache/ms-playwright/ffmpeg-1011 Downloading Chromium Headless Shell 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-headless-shell-linux.zip 101.4 MiB [] 0% 0.0s101.4 MiB [] 0% 16.2s101.4 MiB [] 0% 9.3s101.4 MiB [] 0% 5.3s101.4 MiB [] 2% 3.2s101.4 MiB [] 3% 2.1s101.4 MiB [] 5% 1.7s101.4 MiB [] 7% 1.4s101.4 MiB [] 8% 1.3s101.4 MiB [] 10% 1.4s101.4 MiB [] 11% 1.2s101.4 MiB [] 14% 1.1s101.4 MiB [] 16% 1.0s101.4 MiB [] 18% 0.9s101.4 MiB [] 21% 0.8s101.4 MiB [] 23% 0.8s101.4 MiB [] 25% 0.8s101.4 MiB [] 28% 0.7s101.4 MiB [] 30% 0.7s101.4 MiB [] 33% 0.6s101.4 MiB [] 35% 0.6s101.4 MiB [] 37% 0.6s101.4 MiB [] 40% 0.5s101.4 MiB [] 43% 0.5s101.4 MiB [] 45% 0.5s101.4 MiB [] 48% 0.4s101.4 MiB [] 51% 0.4s101.4 MiB [] 54% 0.4s101.4 MiB [] 57% 0.3s101.4 MiB [] 58% 0.3s101.4 MiB [] 61% 0.3s101.4 MiB [] 63% 0.3s101.4 MiB [] 66% 0.3s101.4 MiB [] 68% 0.2s101.4 MiB [] 71% 0.2s101.4 MiB [] 73% 0.2s101.4 MiB [] 75% 0.2s101.4 MiB [] 77% 0.2s101.4 MiB [] 80% 0.2s101.4 MiB [] 83% 0.1s101.4 MiB [] 86% 0.1s101.4 MiB [] 90% 0.1s101.4 MiB [] 92% 0.1s101.4 MiB [] 94% 0.0s101.4 MiB [] 97% 0.0s101.4 MiB [] 99% 0.0s101.4 MiB [] 100% 0.0s Chromium Headless Shell 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium_headless_shell-1169 ++ echo 'source .venv/bin/activate'
Internet turned off
Bug: 1. Open the app on a nontrivial sqlite database with multiple tables 2. Change the table An extra dropdown in Order By pops up. The drop down SHOULD refresh (to reflect the new column names of the new table), but we shouldn't keep adding new dropdowns lol.

I'm starting by checking out the scubaduck repo and reviewing the AGENTS.md at the root.

shell
ls bash: .venv/bin/activate: No such file or directory root@11bc80a62cc5:/workspace# ls scubaduck
root@11bc80a62cc5:/workspace# cd scubaduck root@11bc80a62cc5:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock
root@11bc80a62cc5:/workspace/scubaduck# cat AGENTS.md - Use "source .venv/bin/activate" to activate the virtual environment before running any commands - ONLY use non-interactive commands like cat, sed, apply_patch to do edits. Do NOT use interactive editors. - Do NOT attempt to install packages. Only the packages specified in pyproject.toml are available. You cannot add new packages. If you desperately want another package, make a note of it in the final PR description. - Use conventional commits to format PR title - There are no nested AGENTS.md files, this is the only agents file - When using Playwright, ONLY use chromium browser. This browser is already installed. - Use "ruff check" to check lint, "ruff format" to autoformat files and "pyright" to typecheck. - When writing the PR description, include the original prompt supplied by the user. - When you add functionality to the server, add server tests to tests/test_server.py. When you add features to the frontend, add frontend tests to tests/test_web.py

The AGENTS instructions are clear; I'll explore the scubaduck/ directory next.

shell
root@11bc80a62cc5:/workspace/scubaduck# ls -R | head .: AGENTS.md README.md codex_setup.sh pyproject.toml scubaduck stubs tests uv.lock

Let me quickly glance at the README to gather some initial context.

shell
root@11bc80a62cc5:/workspace/scubaduck# cat README.md | head -n 20 I really like Scuba (Meta's internal real-time database system). The distributed , real-time database part of Scuba is quite difficult (and expensive) to replica te, but I also really like Scuba's UI for doing queries, and I have found myself wishing that I have access to it even for "small" databases, e.g., I have a sql ite dataset I want to explore. Pivotal ideas: * Time series by default. In the dedicated "time series" view, there are many fe atures specifically oriented towards working towards tables that represent event s that occurred over time: the start, end, compare, aggregate and granularity fi elds all specially privilege the timestamp field. In fact, you can't log events to Scuba's backing data store without a timestamp, they always come with one. (S cuba also supports other views that don't presuppose a time series, but the time series is the most beloved and well used view.) This is in contrast to typical software which tries to generalize to arbitrary data first, with time series bei ng added on later. * It's all about exploration. Scuba is predicated on the idea that you don't kno w what you're looking for, that you are going to spend time tweaking queries and changing filters/grouping as part of an investigation to figure out why a syste m behaves the way it is. So the filters/comparisons/groupings you want to edit a re always visible on the left sidebar, with the expectation that you're going to tweak the query to look at something else. Similarly, all the parameters of you r query get saved into your URL, so your browser history can double up as a quer y history / you can easily share a query with someone else. This is contrast to typical software which is often oriented to making pretty dashboards and reports . (This function is important too, but it's not what I want in exploration mode! ) * You can fix data problems in the query editor. It's pretty common to have mess ed up and ended up with a database that doesn't have exactly the columns you nee d, or some columns that are corrupted in some way. Scuba has pretty robust suppo rt for defining custom columns with arbitrary SQL functions, grouping over them as if they were native functions, and doing so with minimal runtime cost (Scuba aims to turn around your query in milliseconds!) Having to go and run a huge dat a pipeline to fix your data is a big impediment to exploration; quick and easy c ustom columns means you can patch over problems when you're investigating and fi x them for real later. We're going to build a exploratory data analysis tool like Scuba for time series database (i.e., a database with a mandatory timestamp representing the time an event occurred). We'll use DuckDB as the underlying SQL engine served from a Py thon server, and render the GUI/results as a webpage with vanilla HTML and JS. W e'll use choices.js to support token inputs. We define a token input to mean a text input element where as you type a dropdown displays with valid values, and if you select one or press enter, the selection turns into a token/chip that can only be deleted as one unit. To start, we are going to support one views: samples. The samples view only all ows you to view individual samples from the database, subject to a filter. Our m ain UI concept is that there is a left sidebar that is the query editor, and the right side that shows the view. The sidebar is always visible and defaults to the query parameters of the current view. After you make changes to the query, clicking the "Dive" button updates the view. The URL of the page encodes all of the values of the query (and gets updated when you Dive), so the browser's back button lets you view previous queries. The query editor's job is to generate a SQL query, which then is applied on the database, and then the result visualized according to the view. Here are the settings you can apply to the query. The help text should show up w hen you mouse over the field name: * Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'." The UI for this selector supports both relative selections (now, -1 hour, -3 hours, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days) as well a s specifying an absolute date. The way this field is rendered is there is a fre e form text box, a drop down arrow (for the relative selectors), and then a cale ndar button (for date selection). * Order By - Help text: "Choose a column to sort results by." There is an ASC/D ESC toggle next to it.

I’ll check the end to get a clearer idea of the overall context.

shell
root@11bc80a62cc5:/workspace/scubaduck# tail -n 20 README.md AND time <= max-timestamp [AND condition ...] ORDER BY aggregate(column) LIMIT number ``` You should write tests for the server backend, demonstrating that at specific qu ery values we get back the correct rows of data. ## Running the server Activate the virtual environment and run the Flask development server: ```bash flask --app scubaduck.server run --debug ``` By default the server loads `sample.csv`. Set the `SCUBADUCK_DB` environment variable to point at a different database file (CSV, SQLite or DuckDB) if you want to use another dataset. If the file does not exist, the server will raise a `FileNotFoundError` during startup.

Let’s take a look at the pyproject file to gather relevant details.

shell
root@11bc80a62cc5:/workspace/scubaduck# cat pyproject.toml [project] name = "scubaduck" version = "0.1.0" description = "Scuba on DuckDB" readme = "README.md" requires-python = ">=3.12" license = {text = "MIT"} dependencies = [ "duckdb", "flask", "python-dateutil>=2.9.0.post0", ] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.pytest.ini_options] addopts = "-n auto --tb=native" [tool.pyright] # Pyright configuration with strict settings include = ["scubaduck", "tests"] exclude = ["**/__pycache__", "dist"] stubPath = "stubs" venvPath = "." venv = ".venv" reportMissingImports = true reportMissingTypeStubs = true pythonVersion = "3.12" pythonPlatform = "All" typeCheckingMode = "strict" reportUnknownMemberType = true reportUnknownParameterType = true reportUnknownVariableType = true reportUnknownArgumentType = true reportPrivateImportUsage = true reportUntypedFunctionDecorator = true reportFunctionMemberAccess = true reportIncompatibleMethodOverride = true [tool.ruff] target-version = "py312" [tool.uv] dev-dependencies = [ "pytest>=8.3.5", "ruff>=0.11.2", "pytest-xdist>=3.6.1", "playwright>=1.52.0", "pyright>=1.1.350", "pytest-playwright>=0.7.0", ]

Time to review the tests and make sure everything is working as expected.

shell
root@11bc80a62cc5:/workspace/scubaduck# ls tests conftest.py test_server.py test_web.py
root@11bc80a62cc5:/workspace/scubaduck# cat tests/test_server.py | head -n 40 from __future__ import annotations import json from pathlib import Path from typing import cast import duckdb from scubaduck import server import pytest def test_basic_query() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 00:00:00", "order_by": "timestamp", "order_dir": "ASC", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] # We expect first three rows (until 2024-01-02 00:00:00) assert len(rows) == 3 assert rows[0][1] == "login" assert rows[1][1] == "logout" def test_js_served() -> None: app = server.app client = app.test_client() rv = client.get("/js/chip_input.js")
root@11bc80a62cc5:/workspace/scubaduck# cat tests/test_server.py | sed -n '40,80 p' rv = client.get("/js/chip_input.js") assert rv.status_code == 200 assert b"initChipInput" in rv.data def test_filter_multi_token() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 03:00:00", "order_by": "timestamp", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [{"column": "user", "op": "=", "value": ["alice", "charlie"]} ], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] # Should only return rows for alice and charlie assert len(rows) == 3 assert rows[0][3] == "alice" assert rows[-1][3] == "charlie" def test_empty_filter_is_noop() -> None: app = server.app client = app.test_client() base_payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "limit": 100, "columns": ["timestamp", "event", "value", "user"], } no_filter = {**base_payload, "filters": []} empty_filter = {
root@11bc80a62cc5:/workspace/scubaduck# cat tests/test_server.py | sed -n '80,16 0p' empty_filter = { **base_payload, "filters": [{"column": "user", "op": "=", "value": None}], } rv1 = client.post( "/api/query", data=json.dumps(no_filter), content_type="application/json " ) rv2 = client.post( "/api/query", data=json.dumps(empty_filter), content_type="application/j son" ) rows1 = rv1.get_json()["rows"] rows2 = rv2.get_json()["rows"] assert rows1 == rows2 def test_select_columns() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "order_by": "timestamp", "limit": 10, "columns": ["timestamp", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] assert len(rows[0]) == 2 assert rows[0][1] == "alice" def test_string_filter_ops() -> None: app = server.app client = app.test_client() base = { "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], } contains = { **base, "filters": [{"column": "user", "op": "contains", "value": "ali"}], } rv = client.post( "/api/query", data=json.dumps(contains), content_type="application/json" ) rows = rv.get_json()["rows"] assert all("ali" in r[3] for r in rows) regex = { **base, "filters": [{"column": "user", "op": "~", "value": "^a.*"}], } rv = client.post( "/api/query", data=json.dumps(regex), content_type="application/json" ) rows = rv.get_json()["rows"] assert all(r[3].startswith("a") for r in rows) assert len(rows) == 2 not_empty = {**base, "filters": [{"column": "user", "op": "!empty"}]} rv = client.post( "/api/query", data=json.dumps(not_empty), content_type="application/json " ) assert len(rv.get_json()["rows"]) == 4 def _make_payload() -> dict[str, object]: return { "table": "events", "start": "2024-01-01 00:00:00",
root@11bc80a62cc5:/workspace/scubaduck# cat tests/test_server.py | sed -n '160,3 20p' "start": "2024-01-01 00:00:00", "end": "2024-01-02 00:00:00", "order_by": "timestamp", "order_dir": "ASC", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [], } def test_database_types(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text(Path("scubaduck/sample.csv").read_text()) sqlite_file = tmp_path / "events.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute( "CREATE TABLE events (timestamp TEXT, event TEXT, value INTEGER, user TE XT)" ) with open(csv_file) as f: next(f) for line in f: ts, ev, val, user = line.strip().split(",") conn.execute( "INSERT INTO events VALUES (?, ?, ?, ?)", (ts, ev, int(val), use r) ) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] duckdb_file = tmp_path / "events.duckdb" con = duckdb.connect(duckdb_file) con.execute( f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{csv_file.as_posix ()}')" ) con.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcces sIssue] for db in (csv_file, sqlite_file, duckdb_file): app = server.create_app(db) client = app.test_client() payload = _make_payload() rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/js on" ) rows = rv.get_json()["rows"] assert len(rows) == 3 def test_sqlite_longvarchar(tmp_path: Path) -> None: sqlite_file = tmp_path / "events.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute( "CREATE TABLE events (timestamp TEXT, url LONGVARCHAR, title VARCHAR(10) )" ) conn.execute( "INSERT INTO events VALUES ('2024-01-01 00:00:00', 'https://a.com', 'Hom e')" ) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] app = server.create_app(sqlite_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "timestamp", "columns": ["timestamp", "url", "title"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][1] == "https://a.com" def test_sqlite_bigint(tmp_path: Path) -> None: sqlite_file = tmp_path / "big.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute("CREATE TABLE events (timestamp TEXT, value INTEGER)") big_value = 13385262862605259 conn.execute( "INSERT INTO events VALUES ('2024-01-01 00:00:00', ?)", (big_value,), ) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] app = server.create_app(sqlite_file) client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "columns": ["timestamp", "value"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][1] == big_value def test_sqlite_boolean_aggregation(tmp_path: Path) -> None: sqlite_file = tmp_path / "bool.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute("CREATE TABLE events (timestamp TEXT, flag BOOLEAN)") conn.execute("INSERT INTO events VALUES ('2024-01-01 00:00:00', 1)") conn.execute("INSERT INTO events VALUES ('2024-01-01 00:30:00', 0)") conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] app = server.create_app(sqlite_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 00:00:00", "graph_type": "table", "aggregate": "Avg", "columns": ["flag"], "show_hits": True, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][0] == 2 assert data["rows"][0][1] == 0.5 def test_integer_time_column(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200,login\n1704070800,logout\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2
root@11bc80a62cc5:/workspace/scubaduck# cat tests/test_server.py | sed -n '320,4 80p' def test_integer_time_unit_ms(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200000,login\n1704070800000,logou t\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", "time_unit": "ms", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_timeseries_default_xaxis_uses_time_column(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200000,login\n1704070800000,logou t\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "graph_type": "timeseries", "granularity": "1 hour", "columns": ["event"], "aggregate": "Count", "time_column": "created", "time_unit": "ms", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_integer_time_unit_us_default_start_end(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text( "created,event\n1704067200000000,login\n1704070800000000,logout\n" ) app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "order_by": "created", "columns": ["created", "event"], "time_column": "created", "time_unit": "us", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-01 01:00:00" assert len(data["rows"]) == 2 def test_sqlite_integer_time_unit_us(tmp_path: Path) -> None: sqlite_file = tmp_path / "events.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute("CREATE TABLE visits (visit_time INTEGER, event TEXT)") big_ts = 13384551652000000 conn.execute("INSERT INTO visits VALUES (?, ?)", (big_ts, "foo")) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] app = server.create_app(sqlite_file) client = app.test_client() payload = { "table": "visits", "start": "2394-02-20 00:00:00", "end": "2394-02-21 00:00:00", "order_by": "visit_time", "columns": ["visit_time", "event"], "time_column": "visit_time", "time_unit": "us", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 def test_envvar_db(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None: csv_file = tmp_path / "custom.csv" csv_file.write_text("timestamp,event,value,user\n2024-01-01 00:00:00,login,5 ,bob\n") monkeypatch.setenv("SCUBADUCK_DB", str(csv_file)) app = server.create_app() client = app.test_client() payload = _make_payload() rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) rows = rv.get_json()["rows"] assert len(rows) == 1 def test_envvar_db_missing(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> N one: missing = tmp_path / "missing.sqlite" monkeypatch.setenv("SCUBADUCK_DB", str(missing)) with pytest.raises(FileNotFoundError): server.create_app() def test_group_by_table() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "user", "limit": 10, "columns": ["value"], "group_by": ["user"], "aggregate": "Sum", "show_hits": True, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) rows = rv.get_json()["rows"] assert rows[0][0] == "alice" assert rows[0][1] == 2 assert rows[0][2] == 40 def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None: app = server.app client = app.test_client() from datetime import datetime fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime)
root@11bc80a62cc5:/workspace/scubaduck# cat tests/test_server.py | sed -n '480,6 40p' payload = { "table": "events", "start": "-1 hour", "end": "now", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 assert data["rows"][0][3] == "charlie" def test_invalid_time_error() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "nonsense", "end": "now", "order_by": "timestamp", "limit": 10, "columns": ["timestamp"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "error" in data def test_query_error_returns_sql_and_traceback() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "columns": ["event"], "group_by": ["user"], "aggregate": "avg", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "error" in data def test_table_unknown_column_error() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "timestamp", "limit": 100, "columns": ["user", "Hits", "value"], "group_by": ["user"], "aggregate": "Count", "show_hits": True, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "Unknown column" in data["error"] def test_samples_view_rejects_group_by() -> None: app = server.app client = app.test_client() payload = { "table": "events", "graph_type": "samples", "group_by": ["user"], "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "only valid" in data["error"] def test_table_avg_with_timestamp() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "user", "limit": 100, "columns": ["user", "timestamp", "value"], "group_by": ["user"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert "error" not in data rows = data["rows"] assert rows[0][0] == "alice" from dateutil import parser ts = parser.parse(rows[0][1]).replace(tzinfo=None) assert ts == parser.parse("2024-01-01 12:00:00") def test_timeseries_basic() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "timeseries", "limit": 100, "group_by": ["user"], "aggregate": "Count", "columns": ["value"], "x_axis": "timestamp", "granularity": "1 day", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 4 def test_timeseries_orders_by_xaxis() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "timeseries", "limit": 100, "columns": ["value"], "x_axis": "timestamp", "granularity": "1 day", }

I'll keep going to capture everything near the end.

shell
60p' } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 rows = data["rows"] from dateutil import parser timestamps = [parser.parse(r[0]).replace(tzinfo=None) for r in rows] assert timestamps == sorted(timestamps) def test_timeseries_limit_applies_to_series() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "timeseries", "limit": 1, "order_by": "user", "group_by": ["user"], "aggregate": "Count", "columns": ["value"], "x_axis": "timestamp", "granularity": "1 day", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 assert all(r[1] == "alice" for r in data["rows"]) def test_timeseries_auto_and_fine_buckets() -> None: app = server.app client = app.test_client() def run(gran: str) -> None: payload = { "start": "2024-01-01 00:00:00", "end": "2024-01-02 03:00:00", "graph_type": "timeseries", "columns": ["value"], "x_axis": "timestamp", "granularity": gran, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/js on" ) data = rv.get_json() assert rv.status_code == 200 from dateutil import parser start = parser.parse(cast(str, payload["start"])).replace(tzinfo=None) buckets = [ parser.parse(cast(str, r[0])).replace(tzinfo=None) for r in data["ro ws"] ] assert buckets[0] == start if len(buckets) > 1: step = (buckets[1] - buckets[0]).total_seconds() assert step % data["bucket_size"] == 0 assert any(r[1] != 0 for r in data["rows"]) run("Auto") run("Fine") def test_timeseries_string_column_error() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "timeseries", "limit": 7, "columns": ["timestamp", "event", "value", "user"], "x_axis": "timestamp", "granularity": "1 hour", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "Aggregate" in data["error"] def test_derived_column_basic() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "limit": 10, "columns": ["timestamp"], "derived_columns": {"val2": "value * 2"}, "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][1] == 20 def test_timeseries_derived_column() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "timeseries", "granularity": "1 hour", "limit": 7, "columns": ["value"], "derived_columns": {"derived_1": "value * 2"}, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 rows = data["rows"] assert all(r[2] == r[1] * 2 for r in rows) def test_default_start_end_returned() -> None: app = server.app client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "limit": 5, "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-02 03:00:00" def test_time_column_none_no_time_filter() -> None: app = server.app client = app.test_client() payload = { "table": "events", "columns": ["timestamp", "event"], "time_column": "", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert "start" not in data and "end" not in data assert len(data["rows"]) == 4
from typing import Any def select_value(page: Any, selector: str, value: str) -> None: page.evaluate( "arg => setSelectValue(arg.sel, arg.val)", {"sel": selector, "val": value}, ) def run_query( page: Any, url: str, *, start: str | None = None, end: str | None = None, order_by: str | None = None, order_dir: str | None = "ASC", limit: int | None = None, group_by: list[str] | None = None, aggregate: str | None = None, ) -> dict[str, Any]: page.goto(url) page.wait_for_selector("#order_by option", state="attached") page.wait_for_selector("#order_dir", state="attached") page.wait_for_function("window.lastResults !== undefined") if start is not None: page.fill("#start", start) if end is not None: page.fill("#end", end) if order_by is not None: select_value(page, "#order_by", order_by) if order_dir is not None and order_dir == "DESC": page.click("#order_dir") if limit is not None: page.fill("#limit", str(limit)) if group_by is not None: select_value(page, "#graph_type", "table") page.evaluate( "g => { groupBy.chips = g; groupBy.renderChips(); }", group_by, ) if aggregate is not None: select_value(page, "#graph_type", "table") select_value(page, "#aggregate", aggregate) if page.input_value("#graph_type") != "samples": page.click("text=Columns") page.wait_for_selector("#column_groups input", state="attached") if not page.is_checked("#column_groups input[value='value']"): page.check("#column_groups input[value='value']") order_col = order_by or page.input_value("#order_by") if order_col and not page.is_checked( f"#column_groups input[value='{order_col}']" ): if page.query_selector(f"#column_groups input[value='{order_col}']") : page.check(f"#column_groups input[value='{order_col}']") page.click("text=View Settings") page.evaluate("window.lastResults = undefined")
page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") return page.evaluate("window.lastResults") def test_range_filters(page: Any, server_url: str) -> None: data = run_query( page, server_url, start="2024-01-02 00:00:00", end="2024-01-02 04:00:00", order_by="timestamp", limit=100, ) assert len(data["rows"]) == 2 from dateutil import parser timestamps = [parser.parse(row[0]).replace(tzinfo=None) for row in data["row s"]] assert timestamps == [ parser.parse("2024-01-02 00:00:00"), parser.parse("2024-01-02 03:00:00"), ] def test_order_by(page: Any, server_url: str) -> None: data = run_query( page, server_url, start="2024-01-01 00:00:00", end="2024-01-03 00:00:00", order_by="value", order_dir="DESC", limit=100, ) values = [row[2] for row in data["rows"]] assert values == sorted(values, reverse=True) def test_limit(page: Any, server_url: str) -> None: data = run_query( page, server_url, start="2024-01-01 00:00:00", end="2024-01-03 00:00:00", order_by="timestamp", limit=2, ) assert len(data["rows"]) == 2 def test_time_column_dropdown(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#time_column option", state="attached") options = page.locator("#time_column option").all_inner_texts() assert "(none)" in options assert "timestamp" in options assert "value" in options assert page.input_value("#time_column") == "timestamp"
page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") data = page.evaluate("window.lastResults") assert len(data["rows"]) == 4 assert "start" not in data and "end" not in data def test_time_unit_dropdown(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#time_unit", state="attached") opts = page.locator("#time_unit option").all_inner_texts() assert "ms" in opts assert page.input_value("#time_unit") == "s" def test_table_selector_dropdown(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#table option", state="attached") disp = page.query_selector("#table + .dropdown-display") assert disp assert ( page.evaluate("getComputedStyle(document.querySelector('#table')).displa y") == "none" ) assert page.query_selector("#table + .dropdown-display + .dropdown-menu inpu t") def test_x_axis_default_entry(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "timeseries") page.wait_for_selector("#x_axis option", state="attached") options = page.locator("#x_axis option").all_inner_texts() assert "(default)" in options assert page.input_value("#x_axis") == "" def test_simple_filter(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click("text=Add Filter") filter_el = page.query_selector("#filters .filter:last-child") assert filter_el page.evaluate( "arg => setSelectValue(arg.el.querySelector('.f-col'), arg.val)", {"el": filter_el, "val": "user"}, ) val_input = filter_el.query_selector(".f-val") val_input.click() page.keyboard.type("alice") page.keyboard.press("Enter") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") data = page.evaluate("window.lastResults") assert len(data["rows"]) == 2 assert all(row[3] == "alice" for row in data["rows"]) def test_default_filter_and_layout(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") count = page.evaluate("document.querySelectorAll('#filters .filter').length" ) assert count == 1 last_is_button = page.evaluate( "document.querySelector('#filters').lastElementChild.id === 'add_filter' " ) assert last_is_button position = page.evaluate( "getComputedStyle(document.querySelector('#filters .filter button.remove ')).position" ) assert position == "static" def test_filter_remove_alignment(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") diff = page.evaluate( "() => { const r=document.querySelector('#filters .filter-row').getBound ingClientRect(); const x=document.querySelector('#filters .filter-row button.rem ove').getBoundingClientRect(); return Math.abs(r.right - x.right); }" ) assert diff <= 1 def test_header_and_tabs(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") header = page.text_content("#header") assert "sample.csv" in header assert "events" in header assert page.is_visible("#settings") assert page.is_hidden("#columns") page.click("text=Columns") assert page.is_visible("#columns") cols = [c.strip() for c in page.locator("#column_groups li").all_inner_texts ()] assert "timestamp" in cols assert "event" in cols page.click("text=View Settings") assert page.is_visible("#settings") btn_color = page.evaluate( "getComputedStyle(document.querySelector('#dive')).backgroundColor" ) assert "rgb(0, 128, 0)" == btn_color sidebar_overflow = page.evaluate( "getComputedStyle(document.querySelector('#sidebar')).overflowY" ) view_overflow = page.evaluate( "getComputedStyle(document.querySelector('#view')).overflowY" ) assert sidebar_overflow == "auto" assert view_overflow == "auto"
assert page.is_visible("#aggregate_field") assert page.is_visible("#show_hits_field") page.click("text=Columns") assert not page.is_visible("text=Strings:") def test_graph_type_timeseries_fields(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "timeseries") assert page.is_visible("#group_by_field") assert page.is_visible("#aggregate_field") assert page.is_visible("#x_axis_field") assert page.is_visible("#granularity_field") assert page.is_visible("#fill_field") def test_limit_persists_per_chart_type(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") assert page.input_value("#limit") == "100" select_value(page, "#graph_type", "timeseries") assert page.input_value("#limit") == "7" select_value(page, "#graph_type", "samples") assert page.input_value("#limit") == "100" def test_columns_persist_per_chart_type(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") page.click("text=Columns") page.wait_for_selector("#column_groups input", state="attached") page.uncheck("#column_groups input[value='value']") select_value(page, "#graph_type", "timeseries") count = page.evaluate( "document.querySelectorAll('#column_groups input:checked').length" ) assert count == 0 select_value(page, "#graph_type", "samples") count = page.evaluate( "document.querySelectorAll('#column_groups input:checked').length" ) assert count == 3 def test_timeseries_default_query(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "timeseries") page.click("text=Columns") page.check("#column_groups input[value='value']") page.click("text=View Settings") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") data = page.evaluate("window.lastResults") assert "error" not in data assert page.is_visible("#chart") page.click("text=Columns") assert not page.is_checked("#column_groups input[value='timestamp']") def test_timeseries_single_bucket(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") page.fill("#start", "2024-01-01 00:00:00") page.fill("#end", "2024-01-01 00:00:00") select_value(page, "#graph_type", "timeseries") page.click("text=Columns") page.check("#column_groups input[value='value']") page.click("text=View Settings") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") path = page.get_attribute("#chart path", "d") assert path is not None and "NaN" not in path def test_timeseries_fill_options(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") page.fill("#start", "2024-01-01 00:00:00") page.fill("#end", "2024-01-02 03:00:00") select_value(page, "#graph_type", "timeseries") page.click("text=Columns") page.check("#column_groups input[value='value']") page.click("text=View Settings") select_value(page, "#granularity", "1 hour") select_value(page, "#fill", "0") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") path_zero = page.get_attribute("#chart path", "d") assert path_zero is not None and path_zero.count("L") > 20 select_value(page, "#fill", "connect") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") path_conn = page.get_attribute("#chart path", "d") assert path_conn is not None and path_conn.count("M") == 1 select_value(page, "#fill", "blank") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") path_blank = page.get_attribute("#chart path", "d") assert path_blank is not None and path_blank.count("M") > 1 def test_timeseries_hover_highlight(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "timeseries") page.click("text=Columns") page.check("#column_groups input[value='value']") page.click("text=View Settings") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") page.wait_for_selector("#chart path", state="attached") path_el = page.query_selector("#chart path") assert path_el page.evaluate( "el => el.dispatchEvent(new MouseEvent('mouseenter', {bubbles: true}))", path_el, ) width = page.evaluate( "getComputedStyle(document.querySelector('#chart path')).strokeWidth" ) assert "2.5" in width color = page.evaluate( "getComputedStyle(document.querySelector('#legend .legend-item')).backgr oundColor" ) assert "221, 221, 221" in color def test_timeseries_crosshair(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "timeseries") page.click("text=Columns") page.check("#column_groups input[value='value']") page.click("text=View Settings") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") page.wait_for_selector("#chart path", state="attached") page.eval_on_selector( "#chart", "el => { const r = el.getBoundingClientRect(); el.dispatchEvent(new Mous eEvent('mousemove', {clientX: r.left + r.width/2, clientY: r.top + r.height/2, b ubbles: true})); }", ) line_display = page.evaluate( "document.getElementById('crosshair_line').style.display" ) assert line_display != "none" count = page.eval_on_selector_all("#crosshair_dots circle", "els => els.leng th") assert count > 0 page.eval_on_selector( "#chart", "el => el.dispatchEvent(new MouseEvent('mouseleave', {bubbles: true}))", ) line_display = page.evaluate( "document.getElementById('crosshair_line').style.display" ) assert line_display == "none" def test_timeseries_crosshair_freeze(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "timeseries") page.click("text=Columns") page.check("#column_groups input[value='value']") page.click("text=View Settings") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") page.wait_for_selector("#chart path", state="attached") page.eval_on_selector( "#chart", "el => { const r = el.getBoundingClientRect(); el.dispatchEvent(new Mous eEvent('mousemove', {clientX: r.left + r.width/2, clientY: r.top + r.height/2, b ubbles: true})); }", ) page.eval_on_selector( "#chart", "el => { const r = el.getBoundingClientRect(); el.dispatchEvent(new Mous eEvent('click', {clientX: r.left + r.width/2, clientY: r.top + r.height/2, bubbl es: true})); }", ) line_display = page.evaluate( "document.getElementById('crosshair_line').style.display" ) assert line_display != "none" pos1 = page.evaluate("document.getElementById('crosshair_line').getAttribute ('x1')") page.eval_on_selector( "#chart", "el => { const r = el.getBoundingClientRect(); el.dispatchEvent(new Mous eEvent('mousemove', {clientX: r.left + r.width/4, clientY: r.top + r.height/2, b ubbles: true})); }", ) pos2 = page.evaluate("document.getElementById('crosshair_line').getAttribute ('x1')") assert pos1 == pos2 page.eval_on_selector( "#chart", "el => el.dispatchEvent(new MouseEvent('mouseleave', {bubbles: true}))", ) line_display = page.evaluate( "document.getElementById('crosshair_line').style.display" ) assert line_display != "none" page.eval_on_selector( "#chart", "el => { const r = el.getBoundingClientRect(); el.dispatchEvent(new Mous eEvent('click', {clientX: r.left + r.width/2, clientY: r.top + r.height/2, bubbl es: true})); }", ) line_display = page.evaluate( "document.getElementById('crosshair_line').style.display" ) assert line_display == "none" def test_timeseries_auto_timezone(browser: Any, server_url: str) -> None: context = browser.new_context(timezone_id="America/New_York") page = context.new_page() page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "timeseries") page.click("text=Columns") page.check("#column_groups input[value='value']") page.click("text=View Settings") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") path = page.get_attribute("#chart path", "d") context.close() assert path is not None coords = [float(p.split(" ")[1]) for p in path.replace("M", "L").split("L")[ 1:]]

I need to scroll further to check out additional test cases.

shell
select_value(page, "#granularity", "1 hour") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") count = page.eval_on_selector_all("#chart path", "els => els.length") assert count == 2 def test_help_and_alignment(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") titles = page.evaluate( "Array.from(document.querySelectorAll('#settings .help')).map(e => e.tit le)" ) assert any("start/end of the time range" in t for t in titles) text_align = page.evaluate( "getComputedStyle(document.querySelector('#settings label')).textAlign" ) assert text_align == "right" def test_table_sorting(page: Any, server_url: str) -> None: run_query( page, server_url, start="2024-01-01 00:00:00", end="2024-01-03 00:00:00", order_by="timestamp", order_dir="ASC", limit=100, ) # header alignment align = page.evaluate( "getComputedStyle(document.querySelector('#results th')).textAlign" ) assert align == "right" header = page.locator("#results th").nth(3) def values() -> list[str]: return page.locator("#results td:nth-child(4)").all_inner_texts() orig_rows = values() assert orig_rows == ["alice", "bob", "alice", "charlie"] first_sql = page.evaluate("window.lastResults.sql") header.click() assert values() == sorted(orig_rows) assert header.inner_text().endswith("▲") color = page.evaluate( "getComputedStyle(document.querySelector('#results th:nth-child(4)')).co lor" ) assert "0, 0, 255" in color assert page.evaluate("window.lastResults.sql") == first_sql header.click() assert values() == sorted(orig_rows, reverse=True) assert header.inner_text().endswith("▼") header.click() assert values() == orig_rows assert header.inner_text() == "user" color = page.evaluate( "getComputedStyle(document.querySelector('#results th:nth-child(4)')).co lor" ) assert "0, 0, 255" not in color def test_relative_dropdown(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") btn = page.query_selector('[data-target="start-select"]') assert btn btn.click() page.click("#start-select div:text('-3 hours')") assert page.input_value("#start") == "-3 hours" def test_end_dropdown_now(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click('[data-target="end-select"]') page.click("#end-select div:text('now')") assert page.input_value("#end") == "now" def test_invalid_time_error_shown(page: Any, server_url: str) -> None: data = run_query( page, server_url, start="nonsense", end="now", order_by="timestamp", ) assert "error" in data msg = page.text_content("#view") assert "nonsense" in msg def test_table_avg_group_by(page: Any, server_url: str) -> None: data = run_query( page, server_url, start="2024-01-01 00:00:00", end="2024-01-03 00:00:00", order_by="timestamp", group_by=["user"], aggregate="Avg", ) assert "error" not in data assert len(data["rows"]) == 3 def test_column_toggle_and_selection(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click("text=Columns") page.wait_for_selector("#column_groups input", state="attached") ... assert focused visible = page.evaluate( "getComputedStyle(document.querySelector('#filters .filter:last-child .c hip-dropdown')).display" ) assert visible == "block" def test_chip_click_blurs_input(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click("text=Add Filter") f = page.query_selector("#filters .filter:last-child") assert f page.evaluate( "arg => setSelectValue(arg.el.querySelector('.f-col'), arg.val)", {"el": f, "val": "user"}, ) inp = f.query_selector(".f-val") inp.click() page.wait_for_selector("#filters .filter:last-child .chip-dropdown") page.keyboard.type("ali") page.wait_for_selector( "#filters .filter:last-child .chip-dropdown div:text('alice')" ) page.click("#filters .filter:last-child .chip-dropdown div:text('alice')") focused = page.evaluate( "document.activeElement === document.querySelector('#filters .filter:las t-child .f-val')" ) assert not focused visible = page.evaluate( "getComputedStyle(document.querySelector('#filters .filter:last-child .c hip-dropdown')).display" ) assert visible == "none" def test_chip_dropdown_hides_on_column_click(page: Any, server_url: str) -> None : page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click("text=Add Filter") f = page.query_selector("#filters .filter:last-child") assert f page.evaluate( "arg => setSelectValue(arg.el.querySelector('.f-col'), arg.val)", {"el": f, "val": "user"}, ) inp = f.query_selector(".f-val") inp.click() page.wait_for_selector("#filters .filter:last-child .chip-dropdown div") f.query_selector(".f-col + .dropdown-display").click() page.wait_for_selector("#filters .filter:last-child .chip-dropdown", state=" hidden") def test_chip_backspace_keeps_dropdown(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click("text=Add Filter") f = page.query_selector("#filters .filter:last-child") assert f page.evaluate( "arg => setSelectValue(arg.el.querySelector('.f-col'), arg.val)", {"el": f, "val": "user"}, ) inp = f.query_selector(".f-val") inp.click() page.keyboard.type("alice") page.keyboard.press("Enter") page.keyboard.type("b") page.wait_for_selector("#filters .filter:last-child .chip-dropdown div") page.keyboard.press("Backspace") page.wait_for_function( "document.querySelector('#filters .filter:last-child .f-val').value === ''" ) focused = page.evaluate( "document.activeElement === document.querySelector('#filters .filter:las t-child .f-val')" ) assert focused visible = page.evaluate( "getComputedStyle(document.querySelector('#filters .filter:last-child .c hip-dropdown')).display" ) assert visible == "block" def test_chip_duplicate_toggles(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click("text=Add Filter") f = page.query_selector("#filters .filter:last-child") assert f page.evaluate( "arg => setSelectValue(arg.el.querySelector('.f-col'), arg.val)", {"el": f, "val": "user"}, ) inp = f.query_selector(".f-val") inp.click() page.keyboard.type("alice") page.keyboard.press("Enter") chips = page.evaluate( "Array.from(document.querySelectorAll('#filters .filter:last-child .chip ')).map(c => c.firstChild.textContent)" ) assert chips == ["alice"] inp.click() page.keyboard.type("alice") page.keyboard.press("Enter") chips = page.evaluate( "Array.from(document.querySelectorAll('#filters .filter:last-child .chip ')).map(c => c.firstChild.textContent)" ) assert chips == [] def test_table_enhancements(page: Any, server_url: str) -> None: run_query( page, server_url, start="2024-01-01 00:00:00",

I’m heading into the scubaduck directory to explore further.

shell
root@11bc80a62cc5:/workspace/scubaduck# ls scubaduck __init__.py sample.csv server.py static
root@11bc80a62cc5:/workspace/scubaduck# ls scubaduck/static | head index.html js
root@11bc80a62cc5:/workspace/scubaduck# ls scubaduck/static/js | head chip_input.js timeseries_chart.js
root@11bc80a62cc5:/workspace/scubaduck# ls scubaduck/static | grep -v js | head index.html

I'm opening the index.html file now.

shell
n 40 <!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ScubaDuck</title> <style> body { margin: 0; font-family: sans-serif; height: 100vh; display: flex; fle x-direction: column; } #header { padding: 10px; font-weight: bold; border-bottom: 1px solid #ccc; } #content { flex: 1; display: flex; height: calc(100vh - 42px); overflow: hid den; } #sidebar { width: 450px; padding: 10px; border-right: 3px solid #ccc; overfl ow-y: auto; display: flex; flex-direction: column; box-sizing: border-box; } #sidebar-resizer { width: 5px; cursor: col-resize; background: #ccc; } #view { flex: 1; padding: 10px; overflow-y: auto; overflow-x: auto; } .field { display: flex; align-items: center; margin-bottom: 10px; } .field label { width: 80px; text-align: right; margin-right: 5px; } .help { margin-left: 4px; cursor: help; } .rel-btn { margin-left: 4px; } #tabs { display: flex; align-items: center; margin-bottom: 10px; } #tabs .tab { margin-right: 5px; background: none; border: 1px solid #ccc; pa dding: 4px 8px; cursor: pointer; width: 120px; text-align: center; box-sizing: b order-box; } #tabs .tab.active { background: #eee; font-weight: bold; } #dive { margin-left: auto; background: green; color: white; border: none; pa dding: 5px 10px; cursor: pointer; } .tab-content { display: none; } .tab-content.active { display: block; } #filter_list { display: flex; flex-direction: column; } #filters .filter { border: 1px solid #ccc; padding: 5px; margin-bottom: 5px; position: relative; display: flex; flex-direction: column; } #derived_columns .derived { border: 1px solid #ccc; padding: 5px; margin-bottom: 5px; display: flex; flex-direction: column; } #derived_columns .derived-row { display: flex;
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '40,80p' display: flex; margin-bottom: 5px; } #derived_columns .derived-row input[type="text"] { margin-left: 5px; flex: 1; } #derived_columns .derived-row button.remove { margin-left: 5px; width: 20px; flex: 0 0 auto; padding: 0; text-align: center; line-height: 1; } #derived_columns textarea { width: 100%; box-sizing: border-box; } #filters .filter-row { display: flex; margin-bottom: 5px; } #filters .filter-row .f-col { flex: 1; } #filters .filter-row .f-op { margin-left: 5px; width: fit-content; flex: 0 0 auto; } .chip-input input { border: none; flex: 1; min-width: 60px; margin: 2px; outline: none; } .chip-box { position: relative; } .chip-input { display: flex; flex-wrap: wrap; border: 1px solid #ccc; paddin g: 2px; min-height: 24px; } .chip { background: #eee; border: 1px solid #999; padding: 2px 4px; margin: 2px; border-radius: 3px; display: flex; align-items: center; } .chip .x { margin-left: 4px; cursor: pointer; } .chip-copy { margin-left: 4px; cursor: pointer; background: none; border: no ne; } .chip-dropdown { position: absolute; left: 0; right: 0; top: 100%; backgroun d: white; border: 1px solid #ccc; max-height: 120px; overflow-y: auto; z-index: 10; display: none; } .chip-dropdown div { padding: 2px 4px; cursor: pointer; } .chip-dropdown div.highlight { background: #bde4ff; }
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '80,160p' .chip-dropdown div.highlight { background: #bde4ff; } .rel-box { position: relative; display: flex; } .rel-dropdown { position: absolute; left: 0; right: 0; top: 100%; background : white; border: 1px solid #ccc; z-index: 10; display: none; } .rel-dropdown div { padding: 2px 4px; cursor: pointer; } .rel-dropdown div:hover { background: #bde4ff; } .dropdown { position: relative; display: inline-block; } .dropdown-display { border: 1px solid #ccc; padding: 2px 18px 2px 4px; cursor: pointer; min-width: 80px; position: relative; } .dropdown-display::after { content: '\25BC'; position: absolute; right: 4px; pointer-events: none; } .dropdown-menu { position: absolute; left: 0; right: 0; top: 100%; backgroun d: white; border: 1px solid #ccc; z-index: 10; max-height: 160px; overflow-y: au to; display: none; } .dropdown-menu input { width: 100%; box-sizing: border-box; padding: 2px 4px ; border: none; border-bottom: 1px solid #ccc; } .dropdown-menu div { padding: 2px 4px; cursor: pointer; } .dropdown-menu div.selected { background: #bde4ff; } .dropdown-menu .option:hover { background: #eee; } .dropdown-menu input::placeholder { color: #999; } #filters .filter button.remove { margin-left: 5px; width: 20px; flex: 0 0 auto; padding: 0; text-align: center; line-height: 1; } #filters h4 { margin: 0 0 5px 0; } table { border-collapse: collapse; min-width: 100%; } th, td { border: 1px solid #ccc; padding: 4px; box-sizing: border-box; } td.numeric { white-space: nowrap; } td.date { white-space: nowrap; } th { text-align: left; cursor: pointer; position: relative; } th.sorted { color: blue; } tr:nth-child(even) td { background: #f9f9f9; } tr.selected td { background: #bde4ff !important; } tr:hover:not(.selected) td { background: #eee; } #column_actions { text-align: right; margin-bottom: 5px; } #column_actions a { margin-left: 5px; } .col-group-header { overflow: hidden; } .col-group-header .links { float: right; } .col-group-header .links a { margin-left: 5px; } #ts-container { display: flex; } #legend { width: 150px; flex: 0 0 150px; margin-right: 10px; overflow-y: auto; } .legend-group { margin-bottom: 4px; } .legend-header { font-weight: normal; } .legend-item { display: flex; justify-content: space-between; padding-left: 8px; } .legend-value { margin-left: 4px;
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '160,320p' margin-left: 4px; } #chart-wrapper { flex: 1; } .legend-item.highlight { background: #ddd; } #legend .drill-links h4 { margin: 10px 0 4px 0; } #legend .drill-links a { display: block; margin-left: 8px; } #chart text.tick-label { font-size: 10px; user-select: none; } #chart text.tick-label.rotated { text-anchor: end; } #chart text.y-tick-label { font-size: 10px; user-select: none; } #chart line.grid { stroke: #ccc; } /* Column resizer removed */ </style> </head> <body> <div id="header">sample.csv - <select id="table"></select> <select id="graph_t ype"><option value="samples">Samples</option><option value="table">Table</option ><option value="timeseries">Time Series</option></select></div> <div id="content"> <div id="sidebar"> <div id="tabs"> <button class="tab active" data-tab="settings">View Settings</button> <button id="columns_tab" class="tab" data-tab="columns">Columns</button> <button id="dive" onclick="dive()">Dive</button> </div> <div id="settings" class="tab-content active"> <div class="field"> <label>Time Column</label> <select id="time_column"></select> <select id="time_unit" style="margin-left:4px"> <option value="s">s</option> <option value="ms">ms</option> <option value="us">us</option> <option value="ns">ns</option> </select> </div> <div class="field"> <label>Start<span class="help" title="Sets the start/end of the time r ange to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'.">[?]</span></label> <div class="rel-box"> <input id="start" type="text" /> <button type="button" class="rel-btn" data-target="start-select">&#9 660;</button> <div id="start-select" class="rel-dropdown" data-input="start"> <div data-value="-1 hour">-1 hour</div> <div data-value="-3 hours">-3 hours</div> <div data-value="-12 hours">-12 hours</div> <div data-value="-1 day">-1 day</div> <div data-value="-3 days">-3 days</div> <div data-value="-1 week">-1 week</div> <div data-value="-1 fortnight">-1 fortnight</div> <div data-value="-30 days">-30 days</div> <div data-value="-90 days">-90 days</div> </div> </div> </div> <div class="field"> <label>End<span class="help" title="Sets the start/end of the time ran ge to query. Can be any kind of datetime string. For example: 'April 23, 2014' o r 'yesterday'.">[?]</span></label> <div class="rel-box"> <input id="end" type="text" /> <button type="button" class="rel-btn" data-target="end-select">&#966 0;</button> <div id="end-select" class="rel-dropdown" data-input="end"> <div data-value="now">now</div> <div data-value="-1 hour">-1 hour</div> <div data-value="-3 hours">-3 hours</div> <div data-value="-12 hours">-12 hours</div> <div data-value="-1 day">-1 day</div> <div data-value="-3 days">-3 days</div> <div data-value="-1 week">-1 week</div> <div data-value="-1 fortnight">-1 fortnight</div> <div data-value="-30 days">-30 days</div> <div data-value="-90 days">-90 days</div> </div> </div> </div> <div class="field"> <label>Order By<span class="help" title="Choose a column to sort resul ts by.">[?]</span></label> <select id="order_by"></select> <button id="order_dir" type="button">ASC \u25B2</button> </div> <div class="field"> <label>Limit<span class="help" title="Choose the maximum number of res ults to show in the chart after any aggregations have been applied. For example, a limit of 10 will show no more than 10 rows for a table, etc.">[?]</span></lab el> <input id="limit" type="number" value="100" /> </div> <div id="x_axis_field" class="field" style="display:none;"> <label>X-axis</label> <select id="x_axis"></select> </div> <div id="granularity_field" class="field" style="display:none;"> <label>Granularity</label> <select id="granularity"> <option>Auto</option> <option>Fine</option> <option>1 second</option> <option>5 seconds</option> <option>10 seconds</option> <option>30 seconds</option> <option>1 minute</option> <option>4 minutes</option> <option>5 minutes</option> <option>10 minutes</option> <option>15 minutes</option> <option>30 minutes</option> <option>1 hour</option> <option>3 hours</option> <option>6 hours</option> <option>1 day</option> <option>1 week</option> <option>30 days</option> </select> </div> <div id="fill_field" class="field" style="display:none;"> <label>Fill Missing Buckets</label> <select id="fill"> <option value="0">Fill with 0 (Per Series)</option> <option value="connect">Connect (Per Series)</option> <option value="blank">Leave blank</option> </select> </div> <div id="group_by_field" class="field" style="display:none;"> <label>Group By</label> <div class="chip-box"> <div class="chip-input"> <input id="group_by" class="f-val" type="text"> <button type="button" class="chip-copy">&#x2398;</button> </div> <div class="chip-dropdown"></div> </div> </div> <div id="aggregate_field" class="field" style="display:none;"> <label>Aggregate</label> <select id="aggregate"> <option>Avg</option> <option>Count</option> <option>Sum</option> <option>Min</option> <option>Max</option> <option>Count Distinct</option> <option>p5</option> <option>p25</option> <option>p50</option> <option>p70</option> <option>p75</option> <option>p90</option> <option>p95</option> <option>p99</option> <option>p99.9</option>
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '320,480p' <option>p99.9</option> <option>p99.99</option> </select> </div> <div id="show_hits_field" class="field" style="display:none;"> <label>Show Hits</label> <input id="show_hits" type="checkbox" checked> </div> <div id="filters"> <h4>Filters<span class="help" title="You can create as many filters as you want. You can either write a filter using a UI or manual SQL. In the UI, fi lter consists of a column name, a relation (e.g., =, !=, <, >) and then a text f ield. The text field is a token input. It accepts multiple tokens for = relation , in which case we match using an OR for all options.">[?]</span></h4> <div id="filter_list"></div> <button id="add_filter" type="button" onclick="addFilter()">Add Filter </button> </div> <div id="query_info" style="margin-top:10px;"></div> </div> <div id="columns" class="tab-content"> <div id="column_actions"> <a id="columns_all" href="#">All</a> <a id="columns_none" href="#">None</a> </div> <div id="column_groups"></div> <div id="derived_columns"> <h4>Derived Columns</h4> <div id="derived_list"></div> <button id="add_derived" type="button" onclick="addDerived()">Add Deri ved</button> </div> </div> </div> <div id="sidebar-resizer"></div> <div id="view"> <table id="results"></table> </div> </div> <script src="/js/chip_input.js"></script> <script src="/js/timeseries_chart.js"></script> <script> const allColumns = []; const baseColumns = []; const columnTypes = {}; const stringColumns = []; const baseStringColumns = []; const integerColumns = []; const baseIntegerColumns = []; const timeColumns = []; const baseTimeColumns = []; const timeColumnOptions = []; const baseTimeColumnOptions = []; const derivedColumns = []; let selectedColumns = []; let displayType = 'samples'; let groupBy = {chips: [], addChip: () => {}, renderChips: () => {}}; let defaultTimeColumn = ''; const limitInput = document.getElementById('limit'); const limitValues = { samples: parseInt(limitInput.value, 10), table: parseInt(limitInput.value, 10), timeseries: 7 }; const columnValues = { samples: [], table: [], timeseries: [] }; limitInput.addEventListener('input', () => { limitValues[displayType] = parseInt(limitInput.value, 10); limitInput.dataset.setByUser = '1'; }); function initDropdown(select) { const wrapper = document.createElement('div'); wrapper.className = 'dropdown'; if (select.classList.contains('f-col')) { wrapper.classList.add('f-col'); } select.parentNode.insertBefore(wrapper, select); wrapper.appendChild(select); select.style.display = 'none'; const disp = document.createElement('div'); disp.className = 'dropdown-display'; function updateDisplay() { const opt = select.options[select.selectedIndex]; disp.textContent = opt ? opt.textContent : ''; } updateDisplay(); wrapper.appendChild(disp); const menu = document.createElement('div'); menu.className = 'dropdown-menu'; const search = document.createElement('input'); search.placeholder = 'Search'; menu.appendChild(search); const list = document.createElement('div'); menu.appendChild(list); wrapper.appendChild(menu); function close() { menu.style.display = 'none'; } function open() { renderOptions(); menu.style.display = 'block'; search.focus(); } disp.addEventListener('click', () => { if (menu.style.display === 'block') { close(); } else { open(); } }); document.addEventListener('click', e => { if (!wrapper.contains(e.target)) { close(); } }); function renderOptions() { const q = search.value.toLowerCase(); list.innerHTML = ''; Array.from(select.options).forEach(o => { if (!o.textContent.toLowerCase().includes(q)) return; const div = document.createElement('div'); div.className = 'option'; if (q) { const text = o.textContent; const idx = text.toLowerCase().indexOf(q); if (idx !== -1) { div.innerHTML = text.slice(0, idx) + '<u>' + text.slice(idx, idx + q.length) + '</u>' + text.slice(idx + q.length); } else { div.textContent = text; } } else { div.textContent = o.textContent; } if (o.value === select.value) div.classList.add('selected'); div.addEventListener('mousedown', evt => { evt.preventDefault(); select.value = o.value; select.dispatchEvent(new Event('change')); updateDisplay(); close(); }); list.appendChild(div); }); } search.addEventListener('input', renderOptions); select.addEventListener('change', updateDisplay); } // Sidebar resizing const sidebar = document.getElementById('sidebar'); const sidebarResizer = document.getElementById('sidebar-resizer'); let sidebarWidth = parseInt(localStorage.getItem('sidebarWidth') || 450, 10); sidebar.style.width = sidebarWidth + 'px';
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '480,640p' sidebar.style.width = sidebarWidth + 'px'; let sidebarResize = false; function startSidebarDrag(e) { e.preventDefault(); sidebarResize = true; document.addEventListener('mousemove', onSidebarDrag); document.addEventListener('mouseup', stopSidebarDrag); } function onSidebarDrag(e) { if (!sidebarResize) return; sidebarWidth = Math.max(200, e.clientX - sidebar.getBoundingClientRect().left) ; sidebar.style.width = sidebarWidth + 'px'; } function stopSidebarDrag() { document.removeEventListener('mousemove', onSidebarDrag); document.removeEventListener('mouseup', stopSidebarDrag); sidebarResize = false; localStorage.setItem('sidebarWidth', sidebarWidth); } sidebarResizer.addEventListener('mousedown', startSidebarDrag); let orderDir = 'ASC'; const orderDirBtn = document.getElementById('order_dir'); const graphTypeSel = document.getElementById('graph_type'); function updateOrderDirButton() { orderDirBtn.textContent = orderDir + (orderDir === 'ASC' ? ' \u25B2' : ' \u25B C'); } function updateDisplayTypeUI() { const prevType = displayType; updateSelectedColumns(prevType); const newType = graphTypeSel.value; const showTable = newType === 'table'; const showTS = newType === 'timeseries'; document.getElementById('group_by_field').style.display = showTable || showTS ? 'flex' : 'none'; document.getElementById('aggregate_field').style.display = showTable || showTS ? 'flex' : 'none'; document.getElementById('show_hits_field').style.display = showTable ? 'flex' : 'none'; document.getElementById('x_axis_field').style.display = showTS ? 'flex' : 'non e'; document.getElementById('granularity_field').style.display = showTS ? 'flex' : 'none'; document.getElementById('fill_field').style.display = showTS ? 'flex' : 'none' ; document.querySelectorAll('#column_groups .col-group').forEach(g => { if (g.querySelector('.col-group-header').textContent.startsWith('Strings')) { g.style.display = showTable || showTS ? 'none' : ''; } }); limitValues[prevType] = parseInt(limitInput.value, 10); if (showTS && limitValues.timeseries === undefined) { limitValues.timeseries = 7; } limitInput.value = limitValues[newType]; document.querySelectorAll('#column_groups input').forEach(cb => { cb.checked = columnValues[newType].includes(cb.value); }); if (showTS) { document.querySelectorAll('#column_groups input').forEach(cb => { if (isTimeColumn(cb.value) || isStringColumn(cb.value)) { cb.checked = false; } }); document.getElementById('order_by').value = ''; } updateSelectedColumns(newType); displayType = newType; } function updateTimeFieldVisibility() { const show = document.getElementById('time_column').value !== ''; document.getElementById('start').closest('.field').style.display = show ? 'flex' : 'none'; document.getElementById('end').closest('.field').style.display = show ? 'flex' : 'none'; } orderDirBtn.addEventListener('click', () => { orderDir = orderDir === 'ASC' ? 'DESC' : 'ASC'; updateOrderDirButton(); }); updateOrderDirButton(); graphTypeSel.addEventListener('change', updateDisplayTypeUI); document.getElementById('time_column').addEventListener('change', updateTimeFiel dVisibility); updateTimeFieldVisibility(); function loadColumns(table) { return fetch('/api/columns?table=' + encodeURIComponent(table)).then(r => r.js on()).then(cols => { const orderSelect = document.getElementById('order_by'); const xAxisSelect = document.getElementById('x_axis'); const groupsEl = document.getElementById('column_groups'); const timeColumnSelect = document.getElementById('time_column'); orderSelect.innerHTML = ''; xAxisSelect.innerHTML = ''; const defOpt = document.createElement('option'); defOpt.value = ''; defOpt.textContent = '(default)'; xAxisSelect.appendChild(defOpt); timeColumnSelect.innerHTML = ''; const noneOpt = document.createElement('option'); noneOpt.value = ''; noneOpt.textContent = '(none)'; timeColumnSelect.appendChild(noneOpt); groupsEl.innerHTML = ''; allColumns.length = 0; stringColumns.length = 0; integerColumns.length = 0; timeColumns.length = 0; timeColumnOptions.length = 0; baseColumns.length = 0; baseStringColumns.length = 0; baseIntegerColumns.length = 0; baseTimeColumns.length = 0; baseTimeColumnOptions.length = 0; for (const k in columnTypes) delete columnTypes[k]; const groups = { time: {name: 'Time', cols: [], ul: null}, integer: {name: 'Integers', cols: [], ul: null}, string: {name: 'Strings', cols: [], ul: null}, }; const heur = ['timestamp','created','created_at','event_time','time','date', 'occurred','happened','logged']; let guess = null; cols.forEach(c => { const t = c.type.toUpperCase(); columnTypes[c.name] = c.type; allColumns.push(c.name); baseColumns.push(c.name); let g = 'string'; const isNumeric = t.includes('INT') || t.includes('DECIMAL') || t.includes ('NUMERIC') || t.includes('REAL') || t.includes('DOUBLE') || t.includes('FLOAT') || t.includes('HUGEINT'); const isTimeType = t.includes('TIMESTAMP') || t.includes('DATE') || t.incl udes('TIME'); if (isNumeric || isTimeType) { timeColumnOptions.push(c.name); baseTimeColumnOptions.push(c.name); if (!guess && heur.some(h => c.name.toLowerCase().includes(h))) guess = c.name; } if (isTimeType) { g = 'time'; timeColumns.push(c.name); baseTimeColumns.push(c.name); } else if (isNumeric) { g = 'integer'; } if (g === 'string') { stringColumns.push(c.name); baseStringColumns.push(c.name); } else if (g === 'integer') { integerColumns.push(c.name); baseIntegerColumns.push(c.name); } groups[g].cols.push(c.name); if (g !== 'string') { const o = document.createElement('option'); o.value = c.name; o.textContent = c.name; orderSelect.appendChild(o); } }); timeColumns.forEach(name => { const o = document.createElement('option'); o.value = name; o.textContent = name; xAxisSelect.appendChild(o); }); timeColumnOptions.forEach(name => { const o = document.createElement('option'); o.value = name;
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '640,800p' o.value = name; o.textContent = name; timeColumnSelect.appendChild(o); }); xAxisSelect.value = ''; defaultTimeColumn = guess || timeColumnOptions[0] || ''; updateTimeFieldVisibility(); Object.keys(groups).forEach(key => { const g = groups[key]; const div = document.createElement('div'); div.className = 'col-group'; const header = document.createElement('div'); header.className = 'col-group-header'; header.appendChild(document.createTextNode(g.name + ': ')); const links = document.createElement('span'); links.className = 'links'; const allBtn = document.createElement('a'); allBtn.href = '#'; allBtn.textContent = 'All'; const noneBtn = document.createElement('a'); noneBtn.href = '#'; noneBtn.textContent = 'None'; links.appendChild(allBtn); links.appendChild(noneBtn); header.appendChild(links); div.appendChild(header); const ul = document.createElement('ul'); g.ul = ul; g.cols.forEach(name => { const li = document.createElement('li'); const label = document.createElement('label'); const cb = document.createElement('input'); cb.type = 'checkbox'; cb.value = name; cb.checked = true; cb.addEventListener('change', updateSelectedColumns); label.appendChild(cb); label.appendChild(document.createTextNode(' ' + name)); li.appendChild(label); ul.appendChild(li); }); allBtn.addEventListener('click', e => { e.preventDefault(); ul.querySelectorAll('input').forEach(cb => (cb.checked = true)); updateSelectedColumns(); }); noneBtn.addEventListener('click', e => { e.preventDefault(); ul.querySelectorAll('input').forEach(cb => (cb.checked = false)); updateSelectedColumns(); }); div.appendChild(ul); groupsEl.appendChild(div); }); document.getElementById('columns_all').addEventListener('click', e => { e.preventDefault(); groupsEl.querySelectorAll('input').forEach(cb => (cb.checked = true)); updateSelectedColumns(); }); document.getElementById('columns_none').addEventListener('click', e => { e.preventDefault(); groupsEl.querySelectorAll('input').forEach(cb => (cb.checked = false)); updateSelectedColumns(); }); updateSelectedColumns(); columnValues.samples = allColumns.slice(); columnValues.table = []; columnValues.timeseries = []; groupBy = document.getElementById('group_by').closest('.field'); initChipInput(groupBy, typed => allColumns.filter(c => c.toLowerCase().includes(typed.toLowerCase())) ); initDropdown(orderSelect); initDropdown(document.getElementById('aggregate')); }); } let columnsInitialized = false; fetch('/api/tables').then(r => r.json()).then(tables => { const tableSel = document.getElementById('table'); tables.forEach(t => { const o = document.createElement('option'); o.value = t; o.textContent = t; tableSel.appendChild(o); }); initDropdown(tableSel); const table = parseSearch().table || tables[0]; tableSel.value = table; loadColumns(table).then(() => { updateDisplayTypeUI(); addFilter(); initFromUrl(); columnsInitialized = true; }); tableSel.addEventListener('change', () => { loadColumns(tableSel.value).then(() => { if (columnsInitialized) { applyParams(parseSearch()); } }); }); }); document.querySelectorAll('#tabs .tab').forEach(btn => { btn.addEventListener('click', () => { document.querySelectorAll('#tabs .tab').forEach(t => t.classList.remove('act ive')); document.querySelectorAll('.tab-content').forEach(c => c.classList.remove('a ctive')); btn.classList.add('active'); document.getElementById(btn.dataset.tab).classList.add('active'); }); }); document.querySelectorAll('.rel-btn').forEach(btn => { btn.addEventListener('click', () => { const dd = document.getElementById(btn.dataset.target); const show = dd.style.display === 'none' || dd.style.display === ''; document.querySelectorAll('.rel-dropdown').forEach(d => (d.style.display = ' none')); dd.style.display = show ? 'block' : 'none'; }); }); document.querySelectorAll('.rel-dropdown div').forEach(opt => { opt.addEventListener('click', () => { const box = opt.closest('.rel-box'); const input = box.querySelector('input'); input.value = opt.dataset.value || opt.textContent; opt.parentElement.style.display = 'none'; }); }); document.addEventListener('click', e => { document.querySelectorAll('.rel-dropdown').forEach(dd => { if (!dd.parentElement.contains(e.target)) dd.style.display = 'none'; }); }); function updateColumnsTabCount() { const baseCount = document.querySelectorAll('#column_groups input:checked').le ngth; const derivedCount = document.querySelectorAll('#derived_list .derived .d-use: checked').length; const btn = document.getElementById('columns_tab'); if (btn) btn.textContent = `Columns (${baseCount + derivedCount})`; } function updateSelectedColumns(type = graphTypeSel.value) { const base = allColumns.filter(name => { const cb = document.querySelector(`#column_groups input[value="${name}"]`); if (!cb || !cb.checked) return false; if (type === 'table' && isStringColumn(name)) return false; return true; }); if (type === 'table' || type === 'timeseries') { selectedColumns = groupBy.chips.slice(); if (document.getElementById('show_hits').checked) selectedColumns.push('Hits '); base.forEach(c => { if (!selectedColumns.includes(c)) selectedColumns.push(c); }); derivedColumns.forEach(dc => { if (dc.include && !selectedColumns.includes(dc.name)) selectedColumns.push (dc.name); }); } else { selectedColumns = base.slice();
'800,960p' selectedColumns = base.slice(); derivedColumns.forEach(dc => { if (dc.include) selectedColumns.push(dc.name); }); } columnValues[type] = selectedColumns.slice(); updateColumnsTabCount(); } function isStringColumn(name) { const t = (columnTypes[name] || '').toUpperCase(); return t.includes('CHAR') || t.includes('STRING') || t.includes('VARCHAR'); } function isIntegerColumn(name) { const t = (columnTypes[name] || '').toUpperCase(); return t.includes('INT'); } function isTimeColumn(name) { const t = (columnTypes[name] || '').toUpperCase(); if (t.includes('TIMESTAMP') || t.includes('DATE') || t.includes('TIME')) retur n true; const sel = document.getElementById('time_column').value; const xsel = document.getElementById('x_axis').value; if (name === sel || name === xsel) return true; return false; } function formatNumber(val) { if (typeof val !== 'number') val = Number(val); if (Number.isNaN(val)) return ''; if (val === 0) return '0'; const abs = Math.abs(val); if (abs > 999.999) { const units = [ {n: 1e12, s: 'T'}, {n: 1e9, s: 'B'}, {n: 1e6, s: 'M'}, {n: 1e3, s: 'K'}, ]; for (const u of units) { if (abs >= u.n) { return (val / u.n).toFixed(2) + ' ' + u.s; } } } if (abs < 0.0005) return '0.000'; if (Number.isInteger(val)) return val.toString(); return val.toFixed(3); } function addFilter() { const container = document.createElement('div'); container.className = 'filter'; container.innerHTML = ` <div class="filter-row"> <select class="f-col"></select> <select class="f-op"></select> <button type="button" class="remove" onclick="this.closest('.filter').remo ve()">✖</button> </div> <div class="chip-box"> <div class="chip-input"> <input class="f-val" type="text"> <button type="button" class="chip-copy">&#x2398;</button> </div> <div class="chip-dropdown"></div> </div> `; const colSel = container.querySelector('.f-col'); colSel.innerHTML = allColumns.map(c => `<option value="${c}">${c}</option>`).j oin(''); initDropdown(colSel); function populateOps() { const opSel = container.querySelector('.f-op'); const col = colSel.value; const ops = isStringColumn(col) ? [ ['=', '='], ['!=', '!='], ['~', 'matches regex'], ['!~', 'not matches regex'], ['contains', 'contains'], ['!contains', 'not contains'], ['empty', 'empty'], ['!empty', 'not empty'], ['LIKE', 'like'], ] : [ ['=', '='], ['!=', '!='], ['<', '<'], ['>', '>'], ]; opSel.innerHTML = ops.map(o => `<option value="${o[0]}">${o[1]}</option>`).j oin(''); updateInputVis(); } function updateInputVis() { const op = container.querySelector('.f-op').value; const box = container.querySelector('.chip-box'); box.style.display = op === 'empty' || op === '!empty' ? 'none' : 'block'; } colSel.addEventListener('change', populateOps); container.querySelector('.f-op').addEventListener('change', updateInputVis); populateOps(); document.getElementById('filter_list').appendChild(container); initChipInput(container, (typed, el) => { const colEl = el.querySelector('.f-col select') || el.querySelector('.f-col' ); if (!colEl) return []; const col = colEl.value; if (!isStringColumn(col)) return []; return fetch(`/api/samples?column=${encodeURIComponent(col)}&q=${encodeURICo mponent(typed)}`) .then(r => r.json()); }); } function nextDerivedName() { let n = 1; while (true) { const name = `derived_${n}`; if (!derivedColumns.some(d => d.name === name) && !allColumns.includes(name) ) return name; n++; } } function addDerived(data = {}) { const container = document.createElement('div'); container.className = 'derived'; container.innerHTML = ` <div class="derived-row"> <select class="d-type"> <option value="aggregated">Aggregated</option> <option value="string">String</option> <option value="numeric">Numeric</option> </select> <input class="d-name" type="text"> <button type="button" class="remove" onclick="removeDerived(this)">✖</butt on> </div> <label><input type="checkbox" class="d-use" checked> Include in Query</label > <textarea class="d-expr" rows="2"></textarea> `; document.getElementById('derived_list').appendChild(container); const obj = { type: data.type || 'string', name: data.name || nextDerivedName(), expr: data.expr || '', include: data.include !== undefined ? data.include : true, el: container }; container.querySelector('.d-type').value = obj.type; container.querySelector('.d-name').value = obj.name; container.querySelector('.d-expr').value = obj.expr; container.querySelector('.d-use').checked = obj.include; ['change','input'].forEach(evt => { container.addEventListener(evt, refreshDerivedColumns); }); derivedColumns.push(obj); refreshDerivedColumns(); }
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '960,1120p' } function removeDerived(btn) { const el = btn.closest('.derived'); const idx = derivedColumns.findIndex(d => d.el === el); if (idx !== -1) { derivedColumns.splice(idx, 1); } el.remove(); refreshDerivedColumns(); } function refreshDerivedColumns() { allColumns.splice(0, allColumns.length, ...baseColumns); stringColumns.splice(0, stringColumns.length, ...baseStringColumns); integerColumns.splice(0, integerColumns.length, ...baseIntegerColumns); timeColumns.splice(0, timeColumns.length, ...baseTimeColumns); timeColumnOptions.splice(0, timeColumnOptions.length, ...baseTimeColumnOptions ); derivedColumns.forEach(d => { d.type = d.el.querySelector('.d-type').value; d.name = d.el.querySelector('.d-name').value; d.expr = d.el.querySelector('.d-expr').value; d.include = d.el.querySelector('.d-use').checked; allColumns.push(d.name); columnTypes[d.name] = d.type; if (d.type === 'string') { stringColumns.push(d.name); } else { integerColumns.push(d.name); timeColumnOptions.push(d.name); } }); updateSelectedColumns(); } let lastQueryTime = 0; let queryStart = 0; function dive(push=true) { const params = collectParams(); if (push) { history.pushState(params, '', paramsToSearch(params)); } const payload = Object.assign({}, params); const dcMap = {}; (params.derived_columns || []).forEach(d => { if (d.include) dcMap[d.name] = d.expr; }); payload.derived_columns = dcMap; const view = document.getElementById('view'); view.innerHTML = '<p>Loading...</p>'; window.lastResults = undefined; queryStart = performance.now(); fetch('/api/query', {method:'POST', headers:{'Content-Type':'application/json' }, body:JSON.stringify(payload)}) .then(async r => { const data = await r.json(); if (!r.ok) throw data; return data; }) .then(data => { lastQueryTime = Math.round(performance.now() - queryStart); showResults(data); }) .catch(err => { showError(err); }); } function collectParams() { updateSelectedColumns(); const payload = { table: document.getElementById('table').value, time_column: document.getElementById('time_column').value, time_unit: document.getElementById('time_unit').value, start: document.getElementById('start').value, end: document.getElementById('end').value, order_by: document.getElementById('order_by').value, order_dir: orderDir, limit: parseInt(document.getElementById('limit').value, 10), columns: selectedColumns.filter(c => c !== 'Hits' && !derivedColumns.some(dc => dc.name === c) ), samples_columns: columnValues.samples.slice(), table_columns: columnValues.table.slice(), timeseries_columns: columnValues.timeseries.slice(), graph_type: graphTypeSel.value, filters: Array.from(document.querySelectorAll('#filters .filter')).map(f => { const chips = f.chips || []; const op = f.querySelector('.f-op').value; let value = null; if (op !== 'empty' && op !== '!empty') { value = chips.length === 0 ? null : (chips.length === 1 ? chips[0] : chi ps); } const colSel = f.querySelector('.f-col select') || f.querySelector('.f-col '); return {column: colSel.value, op, value}; }), derived_columns: Array.from(document.querySelectorAll('#derived_list .derive d')).map(d => ({ type: d.querySelector('.d-type').value, name: d.querySelector('.d-name').value, expr: d.querySelector('.d-expr').value, include: d.querySelector('.d-use').checked, })) }; if (graphTypeSel.value === 'table' || graphTypeSel.value === 'timeseries') { payload.group_by = groupBy.chips || []; payload.aggregate = document.getElementById('aggregate').value; payload.show_hits = document.getElementById('show_hits').checked; } if (graphTypeSel.value === 'timeseries') { const xval = document.getElementById('x_axis').value; if (xval) payload.x_axis = xval; payload.granularity = document.getElementById('granularity').value; payload.fill = document.getElementById('fill').value; } return payload; } function paramsToSearch(params) { const sp = new URLSearchParams(); if (params.table) sp.set('table', params.table); if (params.time_column) sp.set('time_column', params.time_column); if (params.time_unit) sp.set('time_unit', params.time_unit); if (params.start) sp.set('start', params.start); if (params.end) sp.set('end', params.end); if (params.order_by) sp.set('order_by', params.order_by); if (params.order_dir) sp.set('order_dir', params.order_dir); if (params.limit !== null && params.limit !== undefined) sp.set('limit', param s.limit); if (params.samples_columns && params.samples_columns.length) sp.set('samples_c olumns', params.samples_columns.join(',')); if (params.table_columns && params.table_columns.length) sp.set('table_columns ', params.table_columns.join(',')); if (params.timeseries_columns && params.timeseries_columns.length) sp.set('tim eseries_columns', params.timeseries_columns.join(',')); if (params.filters && params.filters.length) sp.set('filters', JSON.stringify( params.filters)); if (params.derived_columns && params.derived_columns.length) sp.set('derived_c olumns', JSON.stringify(params.derived_columns)); if (params.graph_type) sp.set('graph_type', params.graph_type); if (params.graph_type === 'table' || params.graph_type === 'timeseries') { if (params.group_by && params.group_by.length) sp.set('group_by', params.gro up_by.join(',')); if (params.aggregate) sp.set('aggregate', params.aggregate); if (params.show_hits) sp.set('show_hits', '1'); } if (params.graph_type === 'timeseries') { if (params.x_axis) sp.set('x_axis', params.x_axis); if (params.granularity) sp.set('granularity', params.granularity); if (params.fill) sp.set('fill', params.fill); } const qs = sp.toString(); return qs ? '?' + qs : ''; } function applyParams(params) { if (params.table) document.getElementById('table').value = params.table; document.getElementById('time_column').value = params.time_column || defaultTi meColumn; updateTimeFieldVisibility(); if (params.time_unit) document.getElementById('time_unit').value = params.time _unit; document.getElementById('start').value = params.start || ''; document.getElementById('end').value = params.end || ''; if (params.order_by) { document.getElementById('order_by').value = params.order_by; } orderDir = params.order_dir || 'ASC'; updateOrderDirButton(); if (params.limit !== undefined && params.limit !== null) { document.getElementById('limit').value = params.limit;
root@11bc80a62cc5:/workspace/scubaduck# cat scubaduck/static/index.html | sed -n '1120,1280p' document.getElementById('limit').value = params.limit; limitValues[params.graph_type || 'samples'] = params.limit; limitInput.dataset.setByUser = '1'; } graphTypeSel.value = params.graph_type || 'samples'; updateDisplayTypeUI(); limitInput.value = limitValues[graphTypeSel.value]; if (params.x_axis) { document.getElementById('x_axis').value = params.x_axis; } else { document.getElementById('x_axis').value = ''; } if (params.granularity) document.getElementById('granularity').value = params. granularity; if (params.fill) document.getElementById('fill').value = params.fill; if (params.group_by) { groupBy.chips.splice(0, groupBy.chips.length, ...params.group_by); groupBy.renderChips(); } if (params.aggregate) document.getElementById('aggregate').value = params.aggr egate; document.getElementById('show_hits').checked = params.show_hits ?? true; if (params.samples_columns) columnValues.samples = params.samples_columns; if (params.table_columns) columnValues.table = params.table_columns; if (params.timeseries_columns) columnValues.timeseries = params.timeseries_col umns; document.querySelectorAll('#column_groups input').forEach(cb => { cb.checked = columnValues[graphTypeSel.value].includes(cb.value); }); updateSelectedColumns(graphTypeSel.value); const dlist = document.getElementById('derived_list'); dlist.innerHTML = ''; derivedColumns.splice(0, derivedColumns.length); if (params.derived_columns && params.derived_columns.length) { params.derived_columns.forEach(dc => addDerived(dc)); } refreshDerivedColumns(); const list = document.getElementById('filter_list'); list.innerHTML = ''; if (params.filters && params.filters.length) { params.filters.forEach(f => { addFilter(); const el = list.lastElementChild; const colSel = el.querySelector('.f-col select') || el.querySelector('.f-c ol'); colSel.value = f.column; colSel.dispatchEvent(new Event('change')); el.querySelector('.f-op').value = f.op; el.querySelector('.f-op').dispatchEvent(new Event('change')); if (f.value !== null && f.op !== 'empty' && f.op !== '!empty') { const values = Array.isArray(f.value) ? f.value : [f.value]; values.forEach(v => el.addChip(v)); el.renderChips(); } }); } else { addFilter(); } } function parseSearch() { const sp = new URLSearchParams(window.location.search); const params = {}; if (sp.has('table')) params.table = sp.get('table'); if (sp.has('time_column')) params.time_column = sp.get('time_column'); if (sp.has('time_unit')) params.time_unit = sp.get('time_unit'); if (sp.has('start')) params.start = sp.get('start'); if (sp.has('end')) params.end = sp.get('end'); if (sp.has('order_by')) params.order_by = sp.get('order_by'); if (sp.has('order_dir')) params.order_dir = sp.get('order_dir'); if (sp.has('limit')) params.limit = parseInt(sp.get('limit'), 10); if (sp.has('samples_columns')) params.samples_columns = sp.get('samples_column s').split(',').filter(c => c); if (sp.has('table_columns')) params.table_columns = sp.get('table_columns').sp lit(',').filter(c => c); if (sp.has('timeseries_columns')) params.timeseries_columns = sp.get('timeseri es_columns').split(',').filter(c => c); if (sp.has('filters')) { try { params.filters = JSON.parse(sp.get('filters')); } catch(e) { params.fi lters = []; } } if (sp.has('graph_type')) params.graph_type = sp.get('graph_type'); if (sp.has('group_by')) params.group_by = sp.get('group_by').split(',').filter (c => c); if (sp.has('aggregate')) params.aggregate = sp.get('aggregate'); if (sp.has('show_hits')) params.show_hits = sp.get('show_hits') === '1'; if (sp.has('x_axis')) params.x_axis = sp.get('x_axis'); if (sp.has('granularity')) params.granularity = sp.get('granularity'); if (sp.has('fill')) params.fill = sp.get('fill'); if (sp.has('derived_columns')) { try { params.derived_columns = JSON.parse(sp.get('derived_columns')); } catc h(e) { params.derived_columns = []; } } return params; } function initFromUrl() { const params = parseSearch(); history.replaceState(params, '', paramsToSearch(params)); applyParams(params); dive(false); } window.addEventListener('popstate', e => { const params = e.state || parseSearch(); applyParams(params); dive(false); }); let originalRows = []; let sortState = {index: null, dir: null}; function renderTable(rows) { const table = document.getElementById('results'); table.innerHTML = ''; if (rows.length === 0) return; let hitsIndex = selectedColumns.indexOf('Hits'); let totalHits = 0; if (hitsIndex !== -1) { totalHits = rows.reduce((s, r) => s + Number(r[hitsIndex]), 0); } const header = document.createElement('tr'); selectedColumns.forEach((col, i) => { const th = document.createElement('th'); let label = col; if ( displayType === 'table' && col !== 'Hits' && !(groupBy.chips || []).includes(col) ) { const agg = document.getElementById('aggregate').value.toLowerCase(); label += ` (${agg})`; } th.textContent = label; th.dataset.index = i; th.addEventListener('click', handleSort); if (sortState.index === i) { th.classList.add('sorted'); th.textContent = label + (sortState.dir === 'desc' ? ' \u25BC' : ' \u25B2'); } if (!isStringColumn(col)) th.style.textAlign = 'right'; header.appendChild(th); }); table.appendChild(header); rows.forEach(row => { const tr = document.createElement('tr'); tr.addEventListener('click', () => { const wasSelected = tr.classList.contains('selected'); document .querySelectorAll('#results tr.selected') .forEach(el => el.classList.remove('selected')); if (!wasSelected) { tr.classList.add('selected'); } }); row.forEach((v, i) => { const col = selectedColumns[i]; const td = document.createElement('td'); if (isTimeColumn(col)) { let d; const t = (columnTypes[col] || '').toUpperCase(); if (t.includes('TIMESTAMP') || t.includes('DATE') || t.includes('TIME')) { d = new Date(v); } else { const unit = document.getElementById('time_unit').value; const factors = {s: 1000, ms: 1, us: 0.001, ns: 0.000001}; d = new Date(Number(v) * (factors[unit] || 1000)); } td.textContent = d.toLocaleString('en-US', { weekday: 'short',
'1280,1440p' weekday: 'short', month: 'short', day: 'numeric', year: 'numeric', hour: 'numeric', minute: 'numeric', second: 'numeric', hour12: true, timeZoneName: 'short' }); td.classList.add('date'); } else { if (col === 'Hits') { const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0'; td.textContent = `${formatNumber(v)} (${pct}%)`; } else { td.textContent = isStringColumn(col) ? v : formatNumber(v); } } if (!isStringColumn(col) && !isTimeColumn(col)) { td.classList.add('numeric'); } td.style.textAlign = isStringColumn(col) ? 'left' : 'right'; tr.appendChild(td); }); table.appendChild(tr); }); // ensure table does not overflow unless necessary const view = document.getElementById('view'); if (table.scrollWidth <= view.clientWidth) { table.style.width = '100%'; } } function handleSort(e) { const idx = parseInt(e.target.dataset.index, 10); if (sortState.index !== idx) { sortState.index = idx; sortState.dir = 'asc'; } else if (sortState.dir === 'asc') { sortState.dir = 'desc'; } else if (sortState.dir === 'desc') { sortState.index = null; sortState.dir = null; } else { sortState.dir = 'asc'; } let rows = originalRows.slice(); if (sortState.index !== null) { rows.sort((a, b) => { const va = a[sortState.index]; const vb = b[sortState.index]; if (va === vb) return 0; if (sortState.dir === 'desc') return va < vb ? 1 : -1; return va > vb ? 1 : -1; }); } renderTable(rows); } function showResults(data) { window.lastResults = data; const view = document.getElementById('view'); if (graphTypeSel.value === 'timeseries') { showTimeSeries(data); } else { if (data.rows.length === 0) { view.innerHTML = '<p id="empty-message">Empty data provided to table</p><table id="result s"></table>'; } else { view.innerHTML = '<table id="results"></table>'; } originalRows = data.rows.slice(); sortState = {index: null, dir: null}; renderTable(originalRows); } const sqlEl = document.createElement('pre'); sqlEl.id = 'sql_query'; sqlEl.style.whiteSpace = 'pre-wrap'; sqlEl.style.marginTop = '10px'; sqlEl.textContent = data.sql; view.appendChild(sqlEl); document.getElementById('query_info').textContent = `Your query took about ${lastQueryTime} ms`; } function showError(err) { window.lastResults = err; const view = document.getElementById('view'); let msg = ''; if (typeof err === 'string') { msg = err; } else if (err) { msg = err.error || 'Error'; if (err.sql) { msg += '\nSQL: ' + err.sql; } if (err.traceback) { msg += '\n' + err.traceback; } } view.innerHTML = `<pre id="error-message">${msg}</pre>`; document.getElementById('query_info').textContent = ''; } function setSelectValue(selector, value) { const el = typeof selector === 'string' ? document.querySelector(selector) : s elector; if (el) { const select = el.tagName === 'SELECT' ? el : el.querySelector('select'); if (select) { select.value = value; select.dispatchEvent(new Event('change')); } } } </script> </body> </html>

The issue might be from calling initDropdown multiple times, causing extra dropdown wrappers.

To prevent nested dropdowns, I’ll check if the select is already wrapped before calling initDropdown.

I'll modify initDropdown to check if it's been initialized, then just update the display.

shell
root@11bc80a62cc5:/workspace/scubaduck# grep -n "initDropdown" -n scubaduck/stat ic/index.html 388:function initDropdown(select) { 712: initDropdown(orderSelect); 713: initDropdown(document.getElementById('aggregate')); 726: initDropdown(tableSel); 871: initDropdown(colSel);

I'll fix the issue with orderSelect and aggregate by ensuring re-initialization in loadColumns.

I’ll modify the initDropdown to refresh displays for existing wrappers. Let’s dive in.

shell
root@11bc80a62cc5:/workspace/scubaduck# sed -n '388,466p' scubaduck/static/index .html function initDropdown(select) { const wrapper = document.createElement('div'); wrapper.className = 'dropdown'; if (select.classList.contains('f-col')) { wrapper.classList.add('f-col'); } select.parentNode.insertBefore(wrapper, select); wrapper.appendChild(select); select.style.display = 'none'; const disp = document.createElement('div'); disp.className = 'dropdown-display'; function updateDisplay() { const opt = select.options[select.selectedIndex]; disp.textContent = opt ? opt.textContent : ''; } updateDisplay(); wrapper.appendChild(disp); const menu = document.createElement('div'); menu.className = 'dropdown-menu'; const search = document.createElement('input'); search.placeholder = 'Search'; menu.appendChild(search); const list = document.createElement('div'); menu.appendChild(list); wrapper.appendChild(menu); function close() { menu.style.display = 'none'; } function open() { renderOptions(); menu.style.display = 'block'; search.focus(); } disp.addEventListener('click', () => { if (menu.style.display === 'block') { close(); } else { open(); } }); document.addEventListener('click', e => { if (!wrapper.contains(e.target)) { close(); } }); function renderOptions() { const q = search.value.toLowerCase(); list.innerHTML = ''; Array.from(select.options).forEach(o => { if (!o.textContent.toLowerCase().includes(q)) return; const div = document.createElement('div'); div.className = 'option'; if (q) { const text = o.textContent; const idx = text.toLowerCase().indexOf(q); if (idx !== -1) { div.innerHTML = text.slice(0, idx) + '<u>' + text.slice(idx, idx + q.length) + '</u>' + text.slice(idx + q.length); } else { div.textContent = text; } } else { div.textContent = o.textContent; } if (o.value === select.value) div.classList.add('selected'); div.addEventListener('mousedown', evt => { evt.preventDefault(); select.value = o.value; select.dispatchEvent(new Event('change')); updateDisplay();
root@11bc80a62cc5:/workspace/scubaduck# sed -n '466,536p' scubaduck/static/index .html updateDisplay(); close(); }); list.appendChild(div); }); } search.addEventListener('input', renderOptions); select.addEventListener('change', updateDisplay); } // Sidebar resizing const sidebar = document.getElementById('sidebar'); const sidebarResizer = document.getElementById('sidebar-resizer'); let sidebarWidth = parseInt(localStorage.getItem('sidebarWidth') || 450, 10); sidebar.style.width = sidebarWidth + 'px'; let sidebarResize = false; function startSidebarDrag(e) { e.preventDefault(); sidebarResize = true; document.addEventListener('mousemove', onSidebarDrag); document.addEventListener('mouseup', stopSidebarDrag); } function onSidebarDrag(e) { if (!sidebarResize) return; sidebarWidth = Math.max(200, e.clientX - sidebar.getBoundingClientRect().left) ; sidebar.style.width = sidebarWidth + 'px'; } function stopSidebarDrag() { document.removeEventListener('mousemove', onSidebarDrag); document.removeEventListener('mouseup', stopSidebarDrag); sidebarResize = false; localStorage.setItem('sidebarWidth', sidebarWidth); } sidebarResizer.addEventListener('mousedown', startSidebarDrag); let orderDir = 'ASC'; const orderDirBtn = document.getElementById('order_dir'); const graphTypeSel = document.getElementById('graph_type'); function updateOrderDirButton() { orderDirBtn.textContent = orderDir + (orderDir === 'ASC' ? ' \u25B2' : ' \u25B C'); } function updateDisplayTypeUI() { const prevType = displayType; updateSelectedColumns(prevType); const newType = graphTypeSel.value; const showTable = newType === 'table'; const showTS = newType === 'timeseries'; document.getElementById('group_by_field').style.display = showTable || showTS ? 'flex' : 'none'; document.getElementById('aggregate_field').style.display = showTable || showTS ? 'flex' : 'none'; document.getElementById('show_hits_field').style.display = showTable ? 'flex' : 'none'; document.getElementById('x_axis_field').style.display = showTS ? 'flex' : 'non e'; document.getElementById('granularity_field').style.display = showTS ? 'flex' : 'none'; document.getElementById('fill_field').style.display = showTS ? 'flex' : 'none' ; document.querySelectorAll('#column_groups .col-group').forEach(g => { if (g.querySelector('.col-group-header').textContent.startsWith('Strings')) { g.style.display = showTable || showTS ? 'none' : ''; } }); limitValues[prevType] = parseInt(limitInput.value, 10); if (showTS && limitValues.timeseries === undefined) { limitValues.timeseries = 7; } limitInput.value = limitValues[newType]; document.querySelectorAll('#column_groups input').forEach(cb => { cb.checked = columnValues[newType].includes(cb.value); }); if (showTS) { document.querySelectorAll('#column_groups input').forEach(cb => { if (isTimeColumn(cb.value) || isStringColumn(cb.value)) { cb.checked = false; }

I'll search for other uses of dataset properties before patching the initDropdown function.

shell
root@11bc80a62cc5:/workspace/scubaduck# grep -n "dropdownInit" -R scubaduck | he ad

Alright, it's time to move forward with implementing the patch! Let's get this started.

shell
root@11bc80a62cc5:/workspace/scubaduck# apply_patch<<'PATCH' > *** Begin Patch > *** Update File: scubaduck/static/index.html > @@ > -function initDropdown(select) { > - const wrapper = document.createElement('div'); > - wrapper.className = 'dropdown'; > - if (select.classList.contains('f-col')) { > - wrapper.classList.add('f-col'); > - } > - select.parentNode.insertBefore(wrapper, select); > - wrapper.appendChild(select); > - select.style.display = 'none'; > - const disp = document.createElement('div'); > - disp.className = 'dropdown-display'; > - function updateDisplay() { > - const opt = select.options[select.selectedIndex]; > - disp.textContent = opt ? opt.textContent : ''; > - } > - updateDisplay(); > - wrapper.appendChild(disp); > - const menu = document.createElement('div'); > - menu.className = 'dropdown-menu'; > - const search = document.createElement('input'); > - search.placeholder = 'Search'; > - menu.appendChild(search); > - const list = document.createElement('div'); > - menu.appendChild(list); > - wrapper.appendChild(menu); > +function initDropdown(select) { > + // Avoid creating duplicate wrappers if this dropdown was already initialis ed. > + if (select.dataset.dropdownInit) { > + const disp = select.parentElement?.querySelector('.dropdown-display'); > + if (disp) { > + const opt = select.options[select.selectedIndex]; > + disp.textContent = opt ? opt.textContent : ''; > + } > + return; > + } > + select.dataset.dropdownInit = '1'; > + > + const wrapper = document.createElement('div'); > + wrapper.className = 'dropdown'; > + if (select.classList.contains('f-col')) { > + wrapper.classList.add('f-col'); > + } > + select.parentNode.insertBefore(wrapper, select); > + wrapper.appendChild(select); > + select.style.display = 'none'; > + const disp = document.createElement('div'); > + disp.className = 'dropdown-display'; > + function updateDisplay() { > + const opt = select.options[select.selectedIndex]; > + disp.textContent = opt ? opt.textContent : ''; > + } > + updateDisplay(); > + wrapper.appendChild(disp); > + const menu = document.createElement('div'); > + menu.className = 'dropdown-menu'; > + const search = document.createElement('input'); > + search.placeholder = 'Search'; > + menu.appendChild(search); > + const list = document.createElement('div'); > + menu.appendChild(list); > + wrapper.appendChild(menu); > *** End Patch > PATCH Success. Updated the following files: M scubaduck/static/index.html

The patch is done, but let's double-check to make sure everything's intact.

shell
root@11bc80a62cc5:/workspace/scubaduck# sed -n '388,472p' scubaduck/static/index .html function initDropdown(select) { // Avoid creating duplicate wrappers if this dropdown was already initialised. if (select.dataset.dropdownInit) { const disp = select.parentElement?.querySelector('.dropdown-display'); if (disp) { const opt = select.options[select.selectedIndex]; disp.textContent = opt ? opt.textContent : ''; } return; } select.dataset.dropdownInit = '1'; const wrapper = document.createElement('div'); wrapper.className = 'dropdown'; if (select.classList.contains('f-col')) { wrapper.classList.add('f-col'); } select.parentNode.insertBefore(wrapper, select); wrapper.appendChild(select); select.style.display = 'none'; const disp = document.createElement('div'); disp.className = 'dropdown-display'; function updateDisplay() { const opt = select.options[select.selectedIndex]; disp.textContent = opt ? opt.textContent : ''; } updateDisplay(); wrapper.appendChild(disp); const menu = document.createElement('div'); menu.className = 'dropdown-menu'; const search = document.createElement('input'); search.placeholder = 'Search'; menu.appendChild(search); const list = document.createElement('div'); menu.appendChild(list); wrapper.appendChild(menu); function close() { menu.style.display = 'none'; } function open() { renderOptions(); menu.style.display = 'block'; search.focus(); } disp.addEventListener('click', () => { if (menu.style.display === 'block') { close(); } else { open(); } }); document.addEventListener('click', e => { if (!wrapper.contains(e.target)) { close(); } }); function renderOptions() { const q = search.value.toLowerCase(); list.innerHTML = ''; Array.from(select.options).forEach(o => { if (!o.textContent.toLowerCase().includes(q)) return; const div = document.createElement('div'); div.className = 'option'; if (q) { const text = o.textContent; const idx = text.toLowerCase().indexOf(q); if (idx !== -1) { div.innerHTML = text.slice(0, idx) + '<u>' + text.slice(idx, idx + q.length) + '</u>' + text.slice(idx + q.length); } else { div.textContent = text; } } else { div.textContent = o.textContent; } if (o.value === select.value) div.classList.add('selected');
root@11bc80a62cc5:/workspace/scubaduck# sed -n '472,536p' scubaduck/static/index .html if (o.value === select.value) div.classList.add('selected'); div.addEventListener('mousedown', evt => { evt.preventDefault(); select.value = o.value; select.dispatchEvent(new Event('change')); updateDisplay(); close(); }); list.appendChild(div); }); } search.addEventListener('input', renderOptions); select.addEventListener('change', updateDisplay); } // Sidebar resizing const sidebar = document.getElementById('sidebar'); const sidebarResizer = document.getElementById('sidebar-resizer'); let sidebarWidth = parseInt(localStorage.getItem('sidebarWidth') || 450, 10); sidebar.style.width = sidebarWidth + 'px'; let sidebarResize = false; function startSidebarDrag(e) { e.preventDefault(); sidebarResize = true; document.addEventListener('mousemove', onSidebarDrag); document.addEventListener('mouseup', stopSidebarDrag); } function onSidebarDrag(e) { if (!sidebarResize) return; sidebarWidth = Math.max(200, e.clientX - sidebar.getBoundingClientRect().left) ; sidebar.style.width = sidebarWidth + 'px'; } function stopSidebarDrag() { document.removeEventListener('mousemove', onSidebarDrag); document.removeEventListener('mouseup', stopSidebarDrag); sidebarResize = false; localStorage.setItem('sidebarWidth', sidebarWidth); } sidebarResizer.addEventListener('mousedown', startSidebarDrag); let orderDir = 'ASC'; const orderDirBtn = document.getElementById('order_dir'); const graphTypeSel = document.getElementById('graph_type'); function updateOrderDirButton() { orderDirBtn.textContent = orderDir + (orderDir === 'ASC' ? ' \u25B2' : ' \u25B C'); } function updateDisplayTypeUI() { const prevType = displayType; updateSelectedColumns(prevType); const newType = graphTypeSel.value; const showTable = newType === 'table'; const showTS = newType === 'timeseries'; document.getElementById('group_by_field').style.display = showTable || showTS ? 'flex' : 'none'; document.getElementById('aggregate_field').style.display = showTable || showTS ? 'flex' : 'none'; document.getElementById('show_hits_field').style.display = showTable ? 'flex' : 'none'; document.getElementById('x_axis_field').style.display = showTS ? 'flex' : 'non e'; document.getElementById('granularity_field').style.display = showTS ? 'flex' : 'none'; document.getElementById('fill_field').style.display = showTS ? 'flex' : 'none' ; document.querySelectorAll('#column_groups .col-group').forEach(g => { if (g.querySelector('.col-group-header').textContent.startsWith('Strings')) { g.style.display = showTable || showTS ? 'none' : ''; } }); limitValues[prevType] = parseInt(limitInput.value, 10); if (showTS && limitValues.timeseries === undefined) {
root@11bc80a62cc5:/workspace/scubaduck# source .venv/bin/activate && ruff format scubaduck/static/index.html >/tmp/ruff_format.log && tail -n 20 /tmp/ruff_forma t.log error: Failed to parse scubaduck/static/index.html:1:1: Expected a statement (scubaduck) root@11bc80a62cc5:/workspace/scubaduck#

I'll run "ruff format ." to format only Python files and skip HTML.

shell
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# ruff format >/tmp/ruff_forma t.log && tail -n 20 /tmp/ruff_format.log 6 files left unchanged
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# ruff check >/tmp/ruff_check. log && tail -n 20 /tmp/ruff_check.log All checks passed! (scubaduck) root@11bc80a62cc5:/workspace/scubaduck#

I'll go ahead and run pyright to check the code for type issues.

shell
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# pyright >/tmp/pyright.log && tail -n 20 /tmp/pyright.log
0 errors, 0 warnings, 0 informations
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# pytest -q >/tmp/pytest.log & & tail -n 20 /tmp/pytest.log










bringing up nodes... bringing up nodes... ........................................................................ [ 69%] ................................ [100%] 104 passed in 16.96s (scubaduck) root@11bc80a62cc5:/workspace/scubaduck#

I'm confirming the git status after the tests pass.

shell
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# git status --short M scubaduck/static/index.html (scubaduck) root@11bc80a62cc5:/workspace/scubaduck#

Only index.html was modified. Time to commit the update.

shell
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# git add scubaduck/static/ind ex.html
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# git commit -m "fix(web): pre vent duplicate order by dropdown" && git status --short [work 9a9b3b8] fix(web): prevent duplicate order by dropdown 1 file changed, 11 insertions(+)
(scubaduck) root@11bc80a62cc5:/workspace/scubaduck# git status --short (scubaduck) root@11bc80a62cc5:/workspace/scubaduck#

I’ll find the line ranges around the changes for summarizing later.

shell
x.html | sed -n '388,416p' 388 function initDropdown(select) { 389 // Avoid creating duplicate wrappers if this dropdown was already init ialised. 390 if (select.dataset.dropdownInit) { 391 const disp = select.parentElement?.querySelector('.dropdown-display' ); 392 if (disp) { 393 const opt = select.options[select.selectedIndex]; 394 disp.textContent = opt ? opt.textContent : ''; 395 } 396 return; 397 } 398 select.dataset.dropdownInit = '1'; 399 400 const wrapper = document.createElement('div'); 401 wrapper.className = 'dropdown'; 402 if (select.classList.contains('f-col')) { 403 wrapper.classList.add('f-col'); 404 } 405 select.parentNode.insertBefore(wrapper, select); 406 wrapper.appendChild(select); 407 select.style.display = 'none'; 408 const disp = document.createElement('div'); 409 disp.className = 'dropdown-display'; 410 function updateDisplay() { 411 const opt = select.options[select.selectedIndex]; 412 disp.textContent = opt ? opt.textContent : ''; 413 } 414 updateDisplay(); 415 wrapper.appendChild(disp); 416 const menu = document.createElement('div'); (scubaduck) root@11bc80a62cc5:/workspace/scubaduck#

I’m reviewing lines 388-416 for new initialization and will reference instructions in the PR.