Codex Task Logs

Task ID: task_e_682d431579bc83238df24ecd3397d865

Environment setup
Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) python-slugify ------------------------------ 9.82 KiB/9.82 KiB itsdangerous ------------------------------ 15.85 KiB/15.85 KiB markupsafe ------------------------------ 22.58 KiB/22.58 KiB execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 32.00 KiB/64.91 KiB idna ------------------------------ 62.88 KiB/68.79 KiB text-unidecode ------------------------------ 76.32 KiB/76.32 KiB click ------------------------------ 96.00 KiB/99.76 KiB flask ------------------------------ 48.00 KiB/100.88 KiB urllib3 ------------------------------ 46.88 KiB/125.66 KiB charset-normalizer ------------------------------ 142.87 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 46.88 KiB/219.24 KiB python-dateutil ------------------------------ 30.86 KiB/224.50 KiB pytest ------------------------------ 32.00 KiB/335.58 KiB greenlet ------------------------------ 32.00 KiB/589.71 KiB pyright ------------------------------ 8.00 KiB/5.31 MiB ruff ------------------------------ 236.11 KiB/11.02 MiB duckdb ------------------------------ 349.61 KiB/19.27 MiB playwright ------------------------------ 16.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB markupsafe ------------------------------ 22.58 KiB/22.58 KiB execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB idna ------------------------------ 68.79 KiB/68.79 KiB text-unidecode ------------------------------ 76.32 KiB/76.32 KiB click ------------------------------ 99.76 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 62.88 KiB/125.66 KiB charset-normalizer ------------------------------ 142.87 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 62.88 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 48.00 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 8.00 KiB/5.31 MiB ruff ------------------------------ 316.11 KiB/11.02 MiB duckdb ------------------------------ 413.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB idna ------------------------------ 68.79 KiB/68.79 KiB text-unidecode ------------------------------ 76.32 KiB/76.32 KiB click ------------------------------ 99.76 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 62.88 KiB/125.66 KiB charset-normalizer ------------------------------ 142.87 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 60.09 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 348.11 KiB/11.02 MiB duckdb ------------------------------ 445.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB idna ------------------------------ 68.79 KiB/68.79 KiB text-unidecode ------------------------------ 76.32 KiB/76.32 KiB click ------------------------------ 99.76 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 62.88 KiB/125.66 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 60.09 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 348.11 KiB/11.02 MiB duckdb ------------------------------ 445.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB idna ------------------------------ 68.79 KiB/68.79 KiB click ------------------------------ 99.76 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 62.88 KiB/125.66 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 60.09 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 348.11 KiB/11.02 MiB duckdb ------------------------------ 445.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB idna ------------------------------ 68.79 KiB/68.79 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 62.88 KiB/125.66 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 60.09 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 364.11 KiB/11.02 MiB duckdb ------------------------------ 461.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 76.85 KiB/125.66 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 60.09 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 396.11 KiB/11.02 MiB duckdb ------------------------------ 493.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 76.85 KiB/125.66 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 62.86 KiB/224.50 KiB pytest ------------------------------ 76.09 KiB/335.58 KiB greenlet ------------------------------ 60.49 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 412.11 KiB/11.02 MiB duckdb ------------------------------ 509.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 76.85 KiB/125.66 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 76.53 KiB/224.50 KiB pytest ------------------------------ 76.09 KiB/335.58 KiB greenlet ------------------------------ 60.49 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 428.11 KiB/11.02 MiB duckdb ------------------------------ 525.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 76.85 KiB/125.66 KiB werkzeug ------------------------------ 78.82 KiB/219.24 KiB python-dateutil ------------------------------ 76.53 KiB/224.50 KiB pytest ------------------------------ 76.09 KiB/335.58 KiB greenlet ------------------------------ 60.49 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 444.11 KiB/11.02 MiB duckdb ------------------------------ 541.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 92.85 KiB/125.66 KiB werkzeug ------------------------------ 94.82 KiB/219.24 KiB python-dateutil ------------------------------ 188.53 KiB/224.50 KiB pytest ------------------------------ 124.09 KiB/335.58 KiB greenlet ------------------------------ 172.49 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 556.11 KiB/11.02 MiB duckdb ------------------------------ 653.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 92.85 KiB/125.66 KiB werkzeug ------------------------------ 94.82 KiB/219.24 KiB python-dateutil ------------------------------ 220.53 KiB/224.50 KiB pytest ------------------------------ 124.09 KiB/335.58 KiB greenlet ------------------------------ 220.49 KiB/589.71 KiB pyright ------------------------------ 48.00 KiB/5.31 MiB ruff ------------------------------ 604.11 KiB/11.02 MiB duckdb ------------------------------ 717.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) flask ------------------------------ 96.00 KiB/100.88 KiB urllib3 ------------------------------ 92.85 KiB/125.66 KiB werkzeug ------------------------------ 94.82 KiB/219.24 KiB python-dateutil ------------------------------ 220.53 KiB/224.50 KiB pytest ------------------------------ 124.09 KiB/335.58 KiB greenlet ------------------------------ 268.49 KiB/589.71 KiB pyright ------------------------------ 92.82 KiB/5.31 MiB ruff ------------------------------ 652.11 KiB/11.02 MiB duckdb ------------------------------ 749.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 92.85 KiB/125.66 KiB werkzeug ------------------------------ 126.82 KiB/219.24 KiB pytest ------------------------------ 188.09 KiB/335.58 KiB greenlet ------------------------------ 428.49 KiB/589.71 KiB pyright ------------------------------ 252.82 KiB/5.31 MiB ruff ------------------------------ 812.11 KiB/11.02 MiB duckdb ------------------------------ 909.61 KiB/19.27 MiB playwright ------------------------------ 64.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) urllib3 ------------------------------ 108.85 KiB/125.66 KiB werkzeug ------------------------------ 126.82 KiB/219.24 KiB pytest ------------------------------ 188.09 KiB/335.58 KiB greenlet ------------------------------ 460.49 KiB/589.71 KiB pyright ------------------------------ 316.82 KiB/5.31 MiB ruff ------------------------------ 876.11 KiB/11.02 MiB duckdb ------------------------------ 957.61 KiB/19.27 MiB playwright ------------------------------ 80.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 142.82 KiB/219.24 KiB pytest ------------------------------ 204.09 KiB/335.58 KiB greenlet ------------------------------ 460.49 KiB/589.71 KiB pyright ------------------------------ 428.82 KiB/5.31 MiB ruff ------------------------------ 1004.11 KiB/11.02 MiB duckdb ------------------------------ 1.06 MiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) werkzeug ------------------------------ 142.82 KiB/219.24 KiB pytest ------------------------------ 220.09 KiB/335.58 KiB greenlet ------------------------------ 476.49 KiB/589.71 KiB pyright ------------------------------ 636.82 KiB/5.31 MiB ruff ------------------------------ 1.17 MiB/11.02 MiB duckdb ------------------------------ 1.25 MiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) werkzeug ------------------------------ 206.82 KiB/219.24 KiB pytest ------------------------------ 268.09 KiB/335.58 KiB greenlet ------------------------------ 492.49 KiB/589.71 KiB pyright ------------------------------ 1020.82 KiB/5.31 MiB ruff ------------------------------ 1.53 MiB/11.02 MiB duckdb ------------------------------ 1.62 MiB/19.27 MiB playwright ------------------------------ 160.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) pytest ------------------------------ 308.09 KiB/335.58 KiB greenlet ------------------------------ 492.49 KiB/589.71 KiB pyright ------------------------------ 1.21 MiB/5.31 MiB ruff ------------------------------ 1.76 MiB/11.02 MiB duckdb ------------------------------ 1.87 MiB/19.27 MiB playwright ------------------------------ 336.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (8/33) pytest ------------------------------ 335.58 KiB/335.58 KiB greenlet ------------------------------ 540.49 KiB/589.71 KiB pyright ------------------------------ 1.45 MiB/5.31 MiB ruff ------------------------------ 2.12 MiB/11.02 MiB duckdb ------------------------------ 2.23 MiB/19.27 MiB playwright ------------------------------ 715.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (26/33) greenlet ------------------------------ 540.49 KiB/589.71 KiB pyright ------------------------------ 1.56 MiB/5.31 MiB ruff ------------------------------ 2.28 MiB/11.02 MiB duckdb ------------------------------ 2.39 MiB/19.27 MiB playwright ------------------------------ 859.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (26/33) greenlet ------------------------------ 589.71 KiB/589.71 KiB pyright ------------------------------ 1.79 MiB/5.31 MiB ruff ------------------------------ 2.81 MiB/11.02 MiB duckdb ------------------------------ 2.92 MiB/19.27 MiB playwright ------------------------------ 1.37 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (26/33) pyright ------------------------------ 1.79 MiB/5.31 MiB ruff ------------------------------ 3.11 MiB/11.02 MiB duckdb ------------------------------ 3.23 MiB/19.27 MiB playwright ------------------------------ 1.67 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (26/33) pyright ------------------------------ 1.81 MiB/5.31 MiB ruff ------------------------------ 3.56 MiB/11.02 MiB duckdb ------------------------------ 3.67 MiB/19.27 MiB playwright ------------------------------ 2.12 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (26/33) pyright ------------------------------ 1.84 MiB/5.31 MiB ruff ------------------------------ 4.28 MiB/11.02 MiB duckdb ------------------------------ 4.39 MiB/19.27 MiB playwright ------------------------------ 2.83 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (26/33) pyright ------------------------------ 1.89 MiB/5.31 MiB ruff ------------------------------ 5.05 MiB/11.02 MiB duckdb ------------------------------ 5.15 MiB/19.27 MiB playwright ------------------------------ 3.58 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 1.93 MiB/5.31 MiB ruff ------------------------------ 5.87 MiB/11.02 MiB duckdb ------------------------------ 6.00 MiB/19.27 MiB playwright ------------------------------ 4.37 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 1.96 MiB/5.31 MiB ruff ------------------------------ 6.61 MiB/11.02 MiB duckdb ------------------------------ 6.75 MiB/19.27 MiB playwright ------------------------------ 5.11 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 2.00 MiB/5.31 MiB ruff ------------------------------ 7.39 MiB/11.02 MiB duckdb ------------------------------ 7.55 MiB/19.27 MiB playwright ------------------------------ 5.92 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 2.05 MiB/5.31 MiB ruff ------------------------------ 8.17 MiB/11.02 MiB duckdb ------------------------------ 8.33 MiB/19.27 MiB playwright ------------------------------ 6.68 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 2.08 MiB/5.31 MiB ruff ------------------------------ 8.92 MiB/11.02 MiB duckdb ------------------------------ 9.08 MiB/19.27 MiB playwright ------------------------------ 7.47 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 2.11 MiB/5.31 MiB ruff ------------------------------ 9.65 MiB/11.02 MiB duckdb ------------------------------ 9.81 MiB/19.27 MiB playwright ------------------------------ 8.18 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 2.12 MiB/5.31 MiB ruff ------------------------------ 10.47 MiB/11.02 MiB duckdb ------------------------------ 10.64 MiB/19.27 MiB playwright ------------------------------ 9.00 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 2.14 MiB/5.31 MiB duckdb ------------------------------ 11.25 MiB/19.27 MiB playwright ------------------------------ 9.60 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (28/33) pyright ------------------------------ 2.16 MiB/5.31 MiB duckdb ------------------------------ 11.53 MiB/19.27 MiB playwright ------------------------------ 9.88 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck Preparing packages... (29/33) pyright ------------------------------ 2.17 MiB/5.31 MiB duckdb ------------------------------ 12.63 MiB/19.27 MiB playwright ------------------------------ 10.99 MiB/43.05 MiB Built scubaduck @ file:///workspace/scubaduck Preparing packages... (29/33) pyright ------------------------------ 2.17 MiB/5.31 MiB duckdb ------------------------------ 12.63 MiB/19.27 MiB playwright ------------------------------ 10.99 MiB/43.05 MiB Preparing packages... (29/33) pyright ------------------------------ 2.20 MiB/5.31 MiB duckdb ------------------------------ 13.90 MiB/19.27 MiB playwright ------------------------------ 12.28 MiB/43.05 MiB Preparing packages... (29/33) pyright ------------------------------ 2.20 MiB/5.31 MiB duckdb ------------------------------ 15.19 MiB/19.27 MiB playwright ------------------------------ 13.55 MiB/43.05 MiB Preparing packages... (29/33) pyright ------------------------------ 2.23 MiB/5.31 MiB duckdb ------------------------------ 16.45 MiB/19.27 MiB playwright ------------------------------ 14.79 MiB/43.05 MiB Preparing packages... (30/33) pyright ------------------------------ 2.25 MiB/5.31 MiB duckdb ------------------------------ 17.68 MiB/19.27 MiB playwright ------------------------------ 16.05 MiB/43.05 MiB Preparing packages... (30/33) pyright ------------------------------ 2.26 MiB/5.31 MiB duckdb ------------------------------ 18.90 MiB/19.27 MiB playwright ------------------------------ 17.25 MiB/43.05 MiB Preparing packages... (30/33) pyright ------------------------------ 2.31 MiB/5.31 MiB duckdb ------------------------------ 19.27 MiB/19.27 MiB playwright ------------------------------ 18.82 MiB/43.05 MiB Preparing packages... (30/33) pyright ------------------------------ 2.34 MiB/5.31 MiB playwright ------------------------------ 19.20 MiB/43.05 MiB Preparing packages... (30/33) pyright ------------------------------ 2.39 MiB/5.31 MiB playwright ------------------------------ 21.07 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.42 MiB/5.31 MiB playwright ------------------------------ 23.52 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.43 MiB/5.31 MiB playwright ------------------------------ 25.91 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.45 MiB/5.31 MiB playwright ------------------------------ 28.32 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.48 MiB/5.31 MiB playwright ------------------------------ 31.05 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.51 MiB/5.31 MiB playwright ------------------------------ 33.49 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.57 MiB/5.31 MiB playwright ------------------------------ 35.63 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.62 MiB/5.31 MiB playwright ------------------------------ 37.34 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.67 MiB/5.31 MiB playwright ------------------------------ 39.14 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.72 MiB/5.31 MiB playwright ------------------------------ 40.71 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.76 MiB/5.31 MiB playwright ------------------------------ 41.25 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.84 MiB/5.31 MiB playwright ------------------------------ 42.11 MiB/43.05 MiB Preparing packages... (31/33) pyright ------------------------------ 2.89 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 2.90 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 3.06 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 3.17 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 3.28 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 3.44 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 3.59 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 3.76 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 3.90 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 4.14 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 4.31 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 4.47 MiB/5.31 MiB Preparing packages... (32/33) pyright ------------------------------ 4.56 MiB/5.31 MiB Preparing packages... (32/33) Prepared 33 packages in 2.57s ░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] pytest-base-url==2.1.0 ░░░░░░░░░░░░░░░░░░░░ [0/33] iniconfig==2.1.0 █░░░░░░░░░░░░░░░░░░░ [2/33] iniconfig==2.1.0 █░░░░░░░░░░░░░░░░░░░ [2/33] iniconfig==2.1.0 █░░░░░░░░░░░░░░░░░░░ [2/33] idna==3.10 █░░░░░░░░░░░░░░░░░░░ [3/33] idna==3.10 █░░░░░░░░░░░░░░░░░░░ [3/33] blinker==1.9.0 ██░░░░░░░░░░░░░░░░░░ [4/33] blinker==1.9.0 ██░░░░░░░░░░░░░░░░░░ [4/33] jinja2==3.1.6 ███░░░░░░░░░░░░░░░░░ [5/33] jinja2==3.1.6 ███░░░░░░░░░░░░░░░░░ [5/33] six==1.17.0 ███░░░░░░░░░░░░░░░░░ [6/33] six==1.17.0 ███░░░░░░░░░░░░░░░░░ [6/33] nodeenv==1.9.1 ████░░░░░░░░░░░░░░░░ [7/33] nodeenv==1.9.1 ████░░░░░░░░░░░░░░░░ [7/33] pyee==13.0.0 ████░░░░░░░░░░░░░░░░ [8/33] pyee==13.0.0 ████░░░░░░░░░░░░░░░░ [8/33] urllib3==2.4.0 █████░░░░░░░░░░░░░░░ [9/33] urllib3==2.4.0 ███████████████████░ [32/33] pyright==1.1.400 ████████████████████ [33/33] pyright==1.1.400 Installed 33 packages in 112ms + 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/9lyg08-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 ++ 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% 36.2s167.7 MiB [] 0% 23.5s167.7 MiB [] 0% 15.6s167.7 MiB [] 0% 9.8s167.7 MiB [] 1% 6.5s167.7 MiB [] 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Internet turned off
Let's make formatting of numeric integer/float quantities in our table more intelligent. First, rules for formatting big numbers. If a number is greater than 999.999, we will use SI suffixes to display the number compactly. We will only ever display two decimal places. For example, 3.66 M or 815.21 K. For numbers that don't require an SI prefix, we will instead show three decimal places, e.g., 999.999 or 0.001. If a number is extremely small but nonzero we display it as 0.000. But if it's literally zero we display it as simply 0.

First, I'll check for any AGENTS instructions in the repo before proceeding with the task.

shell
bash: .venv/bin/activate: No such file or directory root@56f8face599b:/workspace# ls scubaduck
root@56f8face599b:/workspace# cd scubaduck root@56f8face599b:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock
root@56f8face599b:/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

I'll stick to non-interactive commands, use ruff and pyright, and follow commit guidelines.

shell
root@56f8face599b:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock
root@56f8face599b:/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 inspect the "scubaduck" directory to find formatting logic in the code.

shell
root@56f8face599b:/workspace/scubaduck# ls scubaduck __init__.py sample.csv server.py static
root@56f8face599b:/workspace/scubaduck# ls scubaduck/static index.html
root@56f8face599b:/workspace/scubaduck# grep -n "format" -r scubaduck | head scubaduck/server.py:335: tb = traceback.format_exc()

I'll look for any numeric formatting in the codebase.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "SI" -r . | head ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:152: old_pyte st_version = os.environ.get("PYTEST_VERSION") ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:154: os.e nviron["PYTEST_VERSION"] = __version__ ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:189: os.environ.pop("PYTEST_VERSION", None) ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:191: os.environ["PYTEST_VERSION"] = old_pytest_version ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:1716: VERBOSI TY_ASSERTIONS: Final = "assertions" ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:1718: VERBOSI TY_TEST_CASES: Final = "test_cases" ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:1719: _VERBOS ITY_INI_DEFAULT: Final = "auto" ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:1750: print(config.get_verbosity(Config.VERBOSITY_ASSERTIONS)) # 2 ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:1762: if level == Config._VERBOSITY_INI_DEFAULT: ./.venv/lib/python3.12/site-packages/_pytest/config/__init__.py:1786: default=Config._VERBOSITY_INI_DEFAULT,
root@56f8face599b:/workspace/scubaduck# grep -n "format_number" -r .

I'll look for static JS to understand how the table is built.

shell
root@56f8face599b:/workspace/scubaduck# cat scubaduck/static/index.html | head - 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; } #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;

I'll continue browsing to see more of the file.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "format" -n scubaduck/static/ind ex.html | head

I’ll look around for JavaScript files; searching for “function” might do the trick.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "function" -n scubaduck/static/i ndex.html | head 234:function initDropdown(select) { 245: function updateDisplay() { 260: function close() { 264: function open() { 284: function renderOptions() { 328:function startSidebarDrag(e) { 334:function onSidebarDrag(e) { 339:function stopSidebarDrag() { 349:function updateOrderDirButton() { 353:function updateDisplayTypeUI() {

I’m looking for instances of "render" or "table" in the code.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "table" -n scubaduck/static/inde x.html | head 87: table { border-collapse: collapse; min-width: 100%; } 114: <div id="header">sample.csv - events <select id="graph_type"><option value ="samples">Samples</option><option value="table">Table</option></select></div> 166: <label>Limit<span class="help" title="Choose the maximum number of results to show in the chart after any aggregations have been applied. For exam ple, a limit of 10 will show no more than 10 rows for a table, etc.">[?]</span>< /label> 221: <table id="results"></table> 354: const show = graphTypeSel.value === 'table'; 498: if (graphTypeSel.value === 'table' && isStringColumn(name)) return false ; 501: if (graphTypeSel.value === 'table') { 802: if (graphTypeSel.value === 'table') { 820: if (params.graph_type === 'table') { 910: const table = document.getElementById('results');
root@56f8face599b:/workspace/scubaduck# sed -n '900,960p' scubaduck/static/index .html 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 += ` (${agg})`; } th.textContent = label; th.dataset.index = i; th.addEventListener('click', handleSort); if (sortState.index === i) { th.classList.add('sorted'); th.textContent = label + (sortState.dir === 'desc' ? ' \u25BC' : ' \u25B2'); } if (!isStringColumn(col)) th.style.textAlign = 'right'; header.appendChild(th); }); table.appendChild(header); rows.forEach(row => { const tr = document.createElement('tr'); tr.addEventListener('click', () => { tr.classList.toggle('selected'); }); row.forEach((v, i) => { const col = selectedColumns[i]; const td = document.createElement('td'); if (isTimeColumn(col)) { const d = new Date(v); td.textContent = d.toLocaleString('en-US', { weekday: 'short', month: 'short', day: 'numeric', year: 'numeric', hour: 'numeric', minute: 'numeric', second: 'numeric', hour12: true,
root@56f8face599b:/workspace/scubaduck# sed -n '960,1020p' scubaduck/static/inde x.html hour12: true, timeZoneName: 'short' }); } else { if (col === 'Hits') { const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0'; td.textContent = `${v} (${pct}%)`; } else { td.textContent = v; } } 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 (data.rows.length === 0) { view.innerHTML = '<p id="empty-message">Empty data provided to table</p><table id="results" ></table>'; } else { view.innerHTML = '<table id="results"></table>'; } originalRows = data.rows.slice(); sortState = {index: null, dir: null}; renderTable(originalRows);

The renderTable function needs to format numbers differently. I'll check the server for aggregation logic.

shell
root@56f8face599b:/workspace/scubaduck# sed -n '1,120p' scubaduck/server.py from __future__ import annotations from dataclasses import dataclass, field from typing import Any, Dict, List, Tuple import re from datetime import datetime, timedelta, timezone import time from pathlib import Path import sqlite3 import traceback import duckdb from dateutil import parser as dtparser from flask import Flask, jsonify, request, send_from_directory @dataclass class Filter: column: str op: str value: str | int | float | list[str] | None @dataclass class QueryParams: start: str | None = None end: str | None = None order_by: str | None = None order_dir: str = "ASC" limit: int | None = None columns: list[str] = field(default_factory=lambda: []) filters: list[Filter] = field(default_factory=lambda: []) derived_columns: dict[str, str] = field(default_factory=lambda: {}) graph_type: str = "samples" group_by: list[str] = field(default_factory=lambda: []) aggregate: str | None = None show_hits: bool = False def _load_database(path: Path) -> duckdb.DuckDBPyConnection: ext = path.suffix.lower() if ext == ".csv": con = duckdb.connect() con.execute( f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{path.as_posix ()}')" ) elif ext in {".db", ".sqlite"}: con = duckdb.connect() sconn = sqlite3.connect(path) info = sconn.execute("PRAGMA table_info(events)").fetchall() col_defs = ", ".join(f"{r[1]} {r[2]}" for r in info) con.execute(f"CREATE TABLE events ({col_defs})") placeholders = ",".join("?" for _ in info) for row in sconn.execute("SELECT * FROM events"): con.execute(f"INSERT INTO events VALUES ({placeholders})", row) sconn.close() else: con = duckdb.connect(path) return con _REL_RE = re.compile( r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortnight s)", re.IGNORECASE, ) def parse_time(val: str | None) -> str | None: """Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``."" " if val is None or val == "": return None s = val.strip() if s.lower() == "now": dt = datetime.now(timezone.utc) return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") m = _REL_RE.fullmatch(s) if m: qty = float(m.group(1)) unit = m.group(2).lower() delta: timedelta if unit.startswith("hour"): delta = timedelta(hours=qty) elif unit.startswith("day"): delta = timedelta(days=qty) elif unit.startswith("week"): delta = timedelta(weeks=qty) elif unit.startswith("fortnight"): delta = timedelta(weeks=2 * qty) else: # pragma: no cover - defensive raise ValueError(f"Unsupported unit: {unit}") dt = datetime.now(timezone.utc) + delta return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") dt = dtparser.parse(s) return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H:%M:%S") def build_query(params: QueryParams, column_types: Dict[str, str] | None = None) -> str: select_parts: list[str] = [] has_agg = bool(params.group_by) or params.aggregate is not None if has_agg: select_parts.extend(params.group_by) agg = (params.aggregate or "avg").lower() def agg_expr(col: str) -> str: if agg.startswith("p"): quant = float(agg[1:]) / 100 return f"quantile({col}, {quant})" if agg == "count distinct": return f"count(DISTINCT {col})" if agg == "avg" and column_types is not None: ctype = column_types.get(col, "").upper() if "TIMESTAMP" in ctype or "DATE" in ctype or "TIME" in ctype: return ( "TIMESTAMP 'epoch' + INTERVAL '1 second' * " f"CAST(avg(epoch({col})) AS BIGINT)" )

I'll search for "format" to explore if it's relevant to the server's function.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "format" -n scubaduck/server.py | head 335: tb = traceback.format_exc()

I’ll check the tests to understand how numbers should be formatted.

shell
root@56f8face599b:/workspace/scubaduck# ls tests conftest.py test_server.py test_web.py
root@56f8face599b:/workspace/scubaduck# cat tests/test_server.py | head -n 40 from __future__ import annotations import json from pathlib import Path import duckdb from scubaduck import server import pytest def test_basic_query() -> None: app = server.app client = app.test_client() payload = { "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_filter_multi_token() -> None: app = server.app client = app.test_client() payload = { "start": "2024-01-01 00:00:00", "end": "2024-01-02 03:00:00",

Continuing to scroll to capture more content.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "Hits" tests/test_server.py 297: "columns": ["user", "Hits", "value"],

I’ll scroll until I find the section I need.

shell
root@56f8face599b:/workspace/scubaduck# sed -n '280,320p' tests/test_server.py 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 = { "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 = { "graph_type": "samples", "group_by": ["user"], "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" )

I just need to modify index.html to format numbers for UI display. Let's confirm.

shell
root@56f8face599b:/workspace/scubaduck# sed -n '1020,1100p' scubaduck/static/ind ex.html renderTable(originalRows); 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>

I’ll check out the earlier code to understand how fetch is being used in index.html.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "dive(" -n scubaduck/static/inde x.html 120: <button id="dive" onclick="dive()">Dive</button> 757:function dive(push=true) { 897: dive(false); 903: dive(false);
root@56f8face599b:/workspace/scubaduck# sed -n '740,820p' scubaduck/static/index .html 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()); }); } let lastQueryTime = 0; let queryStart = 0; function dive(push=true) { const payload = collectParams(); if (push) { history.pushState(payload, '', paramsToSearch(payload)); } 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 = { 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'), 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}; }) }; if (graphTypeSel.value === 'table') { payload.group_by = groupBy.chips || []; payload.aggregate = document.getElementById('aggregate').value; payload.show_hits = document.getElementById('show_hits').checked; } return payload; } function paramsToSearch(params) { const sp = new URLSearchParams(); 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.columns && params.columns.length) sp.set('columns', params.columns. join(',')); if (params.filters && params.filters.length) sp.set('filters', JSON.stringify( params.filters)); if (params.graph_type) sp.set('graph_type', params.graph_type); if (params.graph_type === 'table') {
root@56f8face599b:/workspace/scubaduck# sed -n '820,900p' scubaduck/static/index .html if (params.graph_type === 'table') { 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'); } const qs = sp.toString(); return qs ? '?' + qs : ''; } function applyParams(params) { 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; } graphTypeSel.value = params.graph_type || 'samples'; updateDisplayTypeUI(); 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; document.querySelectorAll('#column_groups input').forEach(cb => { cb.checked = !params.columns || params.columns.includes(cb.value); }); updateSelectedColumns(); 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('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('columns')) params.columns = sp.get('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'; return params; } function initFromUrl() { const params = parseSearch(); history.replaceState(params, '', paramsToSearch(params)); applyParams(params); dive(false); } window.addEventListener('popstate', e => {

I’ll create a formatNum(v) function to format numbers with SI suffixes for values >=1000.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "isStringColumn" -n scubaduck/st atic/index.html 498: if (graphTypeSel.value === 'table' && isStringColumn(name)) return false ; 512:function isStringColumn(name) { 712: const ops = isStringColumn(col) 748: if (!isStringColumn(col)) return []; 938: if (!isStringColumn(col)) th.style.textAlign = 'right'; 971: td.style.textAlign = isStringColumn(col) ? 'left' : 'right';
root@56f8face599b:/workspace/scubaduck# sed -n '500,530p' scubaduck/static/index .html }); if (graphTypeSel.value === 'table') { selectedColumns = groupBy.chips.slice(); if (document.getElementById('show_hits').checked) selectedColumns.push('Hits '); base.forEach(c => { if (!selectedColumns.includes(c)) selectedColumns.push(c); }); } else { selectedColumns = base; } } 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(); return t.includes('TIMESTAMP'); } function initChipInput(filter, fetchOptions) { const input = filter.querySelector('.f-val'); const chipsEl = filter.querySelector('.chip-input'); const dropdown = filter.querySelector('.chip-dropdown');

I'll add the formatNumber(num) call in renderTable for numeric columns, excluding 'Hits'.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "columnTypes" -n scubaduck/stati c/index.html 226:const columnTypes = {}; 381: columnTypes[c.name] = c.type; 513: const t = (columnTypes[name] || '').toUpperCase(); 518: const t = (columnTypes[name] || '').toUpperCase(); 523: const t = (columnTypes[name] || '').toUpperCase();
root@56f8face599b:/workspace/scubaduck# sed -n '220,410p' scubaduck/static/index .html <div id="view"> <table id="results"></table> </div> </div> <script> const allColumns = []; const columnTypes = {}; const stringColumns = []; const integerColumns = []; const timeColumns = []; let selectedColumns = []; let displayType = 'samples'; let groupBy = {chips: [], addChip: () => {}, renderChips: () => {}}; 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'; 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 show = graphTypeSel.value === 'table'; document.getElementById('group_by_field').style.display = show ? 'flex' : 'non e'; document.getElementById('aggregate_field').style.display = show ? 'flex' : 'no ne'; document.getElementById('show_hits_field').style.display = show ? 'flex' : 'no ne'; document.querySelectorAll('#column_groups .col-group').forEach(g => { if (g.querySelector('.col-group-header').textContent.startsWith('Strings')) { g.style.display = show ? 'none' : ''; } }); displayType = graphTypeSel.value; } orderDirBtn.addEventListener('click', () => { orderDir = orderDir === 'ASC' ? 'DESC' : 'ASC'; updateOrderDirButton(); }); updateOrderDirButton(); graphTypeSel.addEventListener('change', updateDisplayTypeUI); fetch('/api/columns').then(r => r.json()).then(cols => { const orderSelect = document.getElementById('order_by'); const groupsEl = document.getElementById('column_groups'); const groups = { time: {name: 'Time', cols: [], ul: null}, integer: {name: 'Integers', cols: [], ul: null}, string: {name: 'Strings', cols: [], ul: null} }; cols.forEach(c => { const t = c.type.toUpperCase(); columnTypes[c.name] = c.type; allColumns.push(c.name); let g = 'string'; if (t.includes('INT')) g = 'integer'; if (t.includes('TIMESTAMP')) g = 'time'; 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); } }); 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);

Still scrolling for more information to capture. Let's keep going!

shell
root@56f8face599b:/workspace/scubaduck# sed -n '410,680p' scubaduck/static/index .html 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(); groupBy = document.getElementById('group_by').closest('.field'); initChipInput(groupBy, typed => allColumns.filter(c => c.toLowerCase().includes(typed.toLowerCase())) ); initDropdown(orderSelect); initDropdown(document.getElementById('aggregate')); updateDisplayTypeUI(); addFilter(); initFromUrl(); }); 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 updateSelectedColumns() { const base = allColumns.filter(name => { const cb = document.querySelector(`#column_groups input[value="${name}"]`); if (!cb || !cb.checked) return false; if (graphTypeSel.value === 'table' && isStringColumn(name)) return false; return true; }); if (graphTypeSel.value === 'table') { selectedColumns = groupBy.chips.slice(); if (document.getElementById('show_hits').checked) selectedColumns.push('Hits '); base.forEach(c => { if (!selectedColumns.includes(c)) selectedColumns.push(c); }); } else { selectedColumns = base; } } 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(); return t.includes('TIMESTAMP'); } function initChipInput(filter, fetchOptions) { ... } }); span.appendChild(x); chipsEl.insertBefore(span, input); }); } function hideDropdown() { dropdown.style.display = 'none'; } function showDropdown() { if (document.activeElement === input) { dropdown.style.display = 'block'; } } function updateHighlight() { Array.from(dropdown.children).forEach((c, i) => { c.classList.toggle('highlight', i === highlight); }); } function addChip(val) { if (!val) return; chips.push(val); input.value = ''; renderChips(); } copyBtn.addEventListener('click', () => { navigator.clipboard && navigator.clipboard.writeText(chips.join(',')); }); input.addEventListener('paste', e => { e.preventDefault(); const text = e.clipboardData.getData('text'); if (e.shiftKey) { addChip(text.trim()); } else { text.split(',').forEach(t => addChip(t.trim())); } hideDropdown(); }); input.addEventListener('keydown', e => { if (e.key === 'ArrowDown') { if (dropdown.style.display !== 'none') { highlight = Math.min(highlight + 1, dropdown.children.length - 1); updateHighlight(); } e.preventDefault(); } else if (e.key === 'ArrowUp') { if (dropdown.style.display !== 'none') { highlight = Math.max(highlight - 1, 0); updateHighlight(); } e.preventDefault(); } else if (e.key === 'Backspace' && input.value === '') { if (chips.length > 0) { chips.pop(); renderChips(); } } else if (e.key === 'Enter') { if (dropdown.style.display !== 'none' && dropdown.children.length > 0) { const val = dropdown.children[highlight].dataset.value; if (val !== input.value.trim()) { addChip(val); } else { addChip(input.value.trim()); } } else { addChip(input.value.trim()); } hideDropdown(); input.blur(); e.preventDefault(); } }); function renderDropdown(vals) { dropdown.innerHTML = ''; const typed = input.value.trim(); if (typed) { vals.splice(1, 0, typed); } vals.forEach((v, i) => { const d = document.createElement('div'); d.textContent = v; d.dataset.value = v; d.addEventListener('mouseover', () => { highlight = i; updateHighlight(); }); d.addEventListener('mousedown', evt => { evt.preventDefault(); addChip(v); hideDropdown(); input.blur(); }); dropdown.appendChild(d); }); if (vals.length) { highlight = 0; updateHighlight(); showDropdown(); } else { hideDropdown(); } } function loadOptions() { if (!fetchOptions) { dropdown.innerHTML = ''; return; } Promise.resolve(fetchOptions(input.value, filter)).then(values => { renderDropdown(Array.isArray(values) ? values : []); }); } input.addEventListener('focus', loadOptions); input.addEventListener('input', loadOptions);

I'll revisit the area around line 930 to confirm where to add numeric formatting.

shell
root@56f8face599b:/workspace/scubaduck# sed -n '928,990p' scubaduck/static/index .html label += ` (${agg})`; } th.textContent = label; th.dataset.index = i; th.addEventListener('click', handleSort); if (sortState.index === i) { th.classList.add('sorted'); th.textContent = label + (sortState.dir === 'desc' ? ' \u25BC' : ' \u25B2'); } if (!isStringColumn(col)) th.style.textAlign = 'right'; header.appendChild(th); }); table.appendChild(header); rows.forEach(row => { const tr = document.createElement('tr'); tr.addEventListener('click', () => { tr.classList.toggle('selected'); }); row.forEach((v, i) => { const col = selectedColumns[i]; const td = document.createElement('td'); if (isTimeColumn(col)) { const d = new Date(v); td.textContent = d.toLocaleString('en-US', { weekday: 'short', month: 'short', day: 'numeric', year: 'numeric', hour: 'numeric', minute: 'numeric', second: 'numeric', hour12: true, timeZoneName: 'short' }); } else { if (col === 'Hits') { const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0'; td.textContent = `${v} (${pct}%)`; } else { td.textContent = v; } } 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') {

I need to create a function for numeric formatting and check the dataset for classifications.

shell
root@56f8face599b:/workspace/scubaduck# cat scubaduck/sample.csv | head timestamp,event,value,user 2024-01-01 00:00:00,login,10,alice 2024-01-01 01:00:00,logout,20,bob 2024-01-02 00:00:00,login,30,alice 2024-01-02 03:00:00,login,40,charlie

I’ll check tests/test_web.py to understand the expected behavior for the sample dataset.

shell
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")
root@56f8face599b:/workspace/scubaduck# grep -n "format" tests/test_web.py

I'll apply the number formatting on the front-end and add tests to verify it.

shell
"g => { groupBy.chips = g; groupBy.renderChips(); }", group_by, ) if aggregate is not None: select_value(page, "#graph_type", "table") select_value(page, "#aggregate", aggregate) 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_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:
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" def test_graph_type_table_fields(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#graph_type", state="attached") select_value(page, "#graph_type", "table") assert page.is_visible("#group_by_field") 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_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("▼")
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") count = page.evaluate( "document.querySelectorAll('#column_groups input:checked').length" ) assert count == 4 page.click("#columns_none") count = page.evaluate( "document.querySelectorAll('#column_groups input:checked').length" ) assert count == 0 page.click("#columns_all") count = page.evaluate( "document.querySelectorAll('#column_groups input:checked').length" ) assert count == 4 page.uncheck("#column_groups input[value='value']") page.click("text=View Settings") page.fill("#start", "2024-01-01 00:00:00") page.fill("#end", "2024-01-02 00:00:00") select_value(page, "#order_by", "timestamp") page.fill("#limit", "10") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") data = page.evaluate("window.lastResults") assert len(data["rows"][0]) == 3 headers = page.locator("#results th").all_inner_texts() assert "value" not in headers def test_columns_links_alignment(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") tag = page.evaluate("document.getElementById('columns_all').tagName") assert tag == "A" align = page.evaluate( "getComputedStyle(document.querySelector('#column_actions')).textAlign" ) assert align == "right" def test_column_group_links(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 a", state="attached") tag = page.evaluate("document.querySelector('#column_groups .col-group a').t agName") assert tag == "A" def test_column_group_links_float_right(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 .col-group .links", state="attached") float_val = page.evaluate( "getComputedStyle(document.querySelector('#column_groups .col-group .lin ks')).float" ) assert float_val == "right" def test_chip_dropdown_navigation(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") page.keyboard.type("ali") page.wait_for_selector("text=alice") page.keyboard.press("ArrowDown") page.keyboard.press("Enter") chips = page.evaluate( "Array.from(document.querySelectorAll('#filters .filter:last-child .chip ')).map(c => c.firstChild.textContent)" ) assert chips == ["ali"] page.click("#filters .filter:last-child .chip .x") page.wait_for_selector(".chip", state="detached") def test_chip_copy_and_paste(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.evaluate( "Object.defineProperty(navigator, 'clipboard', {value:{ _data: '', write Text(t){ this._data = t; }, readText(){ return Promise.resolve(this._data); } }} )" ) 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") inp.click() page.keyboard.type("bob") page.keyboard.press("Enter") f.query_selector(".chip-copy").click() assert page.evaluate("navigator.clipboard._data") == "alice,bob" page.evaluate( "var f=document.querySelector('#filters .filter:last-child'); f.chips=[] ; f.querySelectorAll('.chip').forEach(c=>c.remove())" ) page.wait_for_selector("#filters .chip", state="detached") inp.click() page.evaluate( "var dt=new DataTransfer(); dt.setData('text/plain','alice,bob'); var e= new ClipboardEvent('paste',{clipboardData:dt}); document.querySelector('#filters .filter:last-child .f-val').dispatchEvent(e);" ) chips = page.evaluate( "Array.from(document.querySelectorAll('#filters .filter:last-child .chip ')).map(c => c.firstChild.textContent)" ) assert chips[:2] == ["alice", "bob"] page.evaluate( "var f=document.querySelector('#filters .filter:last-child'); f.chips=[] ; f.querySelectorAll('.chip').forEach(c=>c.remove())" ) page.wait_for_selector("#filters .chip", state="detached") inp.click() page.evaluate( "var dt=new DataTransfer(); dt.setData('text/plain','alice,bob'); var e= new ClipboardEvent('paste',{clipboardData:dt}); Object.defineProperty(e,'shiftKe y',{value:true}); document.querySelector('#filters .filter:last-child .f-val').d ispatchEvent(e);" ) chips = page.evaluate( "Array.from(document.querySelectorAll('#filters .filter:last-child .chip ')).map(c => c.firstChild.textContent)" ) assert chips[-1] == "alice,bob" def test_chip_dropdown_hides_on_outside_click(page: Any, server_url: str) -> Non e: 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") page.click("#header") page.wait_for_selector("#filters .filter:last-child .chip-dropdown", state=" hidden") def test_chip_input_no_outline(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click("text=Add Filter") inp = page.query_selector("#filters .filter:last-child .f-val") assert inp inp.click() outline = page.evaluate( "getComputedStyle(document.querySelector('#filters .filter:last-child .f -val')).outlineStyle" ) assert outline == "none" def test_chip_enter_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")

I'm checking further to find the information I need. Almost there!

shell
root@56f8face599b:/workspace/scubaduck# grep -n "Hits" tests/test_web.py 782: assert "Hits" in headers
data = run_query( page, server_url, aggregate="Avg", ) assert len(data["rows"]) == 1 row = data["rows"][0] assert row[0] == 4 from dateutil import parser ts = parser.parse(row[1]).replace(tzinfo=None) assert ts == parser.parse("2024-01-01 13:00:00") assert row[2] == 25 def test_table_headers_show_aggregate(page: Any, server_url: str) -> None: run_query( page, server_url, aggregate="Avg", ) headers = page.locator("#results th").all_inner_texts() assert "Hits" in headers assert "timestamp (avg)" in headers assert "value (avg)" in headers
root@56f8face599b:/workspace/scubaduck# grep -n "0.000" -r tests | head

Looks like I need to focus on implementing numeric formatting in JS. I'll check tests.

shell
st_web.py | head 28: page.wait_for_function("window.lastResults !== undefined") 48: page.evaluate("window.lastResults = undefined") 50: page.wait_for_function("window.lastResults !== undefined") 51: return page.evaluate("window.lastResults") 114: page.wait_for_function("window.lastResults !== undefined") 115: data = page.evaluate("window.lastResults") 226: first_sql = page.evaluate("window.lastResults.sql") 235: assert page.evaluate("window.lastResults.sql") == first_sql 323: page.evaluate("window.lastResults = undefined") 325: page.wait_for_function("window.lastResults !== undefined")

Tests focus more on 'window.lastResults' than DOM text. Let's continue searching.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "inner_text" tests/test_web.py | head 156: cols = [c.strip() for c in page.locator("#column_groups li").all_inner_t exts()] 221: return page.locator("#results td:nth-child(4)").all_inner_texts() 230: assert header.inner_text().endswith("▲") 239: assert header.inner_text().endswith("▼") 243: assert header.inner_text() == "user" 328: headers = page.locator("#results th").all_inner_texts() 724: options = page.locator("#group_by_field .chip-dropdown div").all_inner_t exts() 781: headers = page.locator("#results th").all_inner_texts()
root@56f8face599b:/workspace/scubaduck# grep -n "all_inner_texts" -n tests/test_ web.py | head 156: cols = [c.strip() for c in page.locator("#column_groups li").all_inner_t exts()] 221: return page.locator("#results td:nth-child(4)").all_inner_texts() 328: headers = page.locator("#results th").all_inner_texts() 724: options = page.locator("#group_by_field .chip-dropdown div").all_inner_t exts() 781: headers = page.locator("#results th").all_inner_texts()

I’m checking the section around line 221 to review what’s there.

shell
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:

For number formatting, I'll add a test for SI prefix handling—likely in test_web.py.

I'll adjust the formatting for tiny values and negative numbers, and add SI suffix logic.

I need to verify if server returns numbers as strings before formatting the table data.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "api/query" -n scubaduck/server. py 237: @app.route("/api/query", methods=["POST"])
values = [r[0] for r in rows] _cache_set(key, values) return jsonify(values) @app.route("/api/query", methods=["POST"]) def query() -> Any: # pyright: ignore[reportUnusedFunction] payload = request.get_json(force=True) try: start = parse_time(payload.get("start")) end = parse_time(payload.get("end")) except Exception as exc: return jsonify({"error": str(exc)}), 400 params = QueryParams( start=start, end=end, order_by=payload.get("order_by"), order_dir=payload.get("order_dir", "ASC"), limit=payload.get("limit"), columns=payload.get("columns", []), derived_columns=payload.get("derived_columns", {}), graph_type=payload.get("graph_type", "samples"), group_by=payload.get("group_by", []), aggregate=payload.get("aggregate"), show_hits=payload.get("show_hits", False), ) for f in payload.get("filters", []): params.filters.append(Filter(f["column"], f["op"], f.get("value"))) if params.graph_type != "table" and ( params.group_by or params.aggregate or params.show_hits ): return ( jsonify( { "error": "group_by, aggregate and show_hits are only val id for table view" } ), 400, ) valid_cols = set(column_types.keys()) for col in params.columns: if col not in valid_cols: return jsonify({"error": f"Unknown column: {col}"}), 400 for col in params.group_by: if col not in valid_cols: return jsonify({"error": f"Unknown column: {col}"}), 400 if params.order_by and params.order_by not in valid_cols: return jsonify({"error": f"Unknown column: {params.order_by}"}), 400 if params.group_by: agg = (params.aggregate or "avg").lower() if agg.startswith("p") or agg == "sum": need_numeric = True allow_time = False elif agg == "avg" or agg in {"min", "max"}: need_numeric = False allow_time = True else: need_numeric = False allow_time = False if need_numeric or allow_time: for c in params.columns: if c in params.group_by: continue ctype = column_types.get(c, "").upper() is_numeric = any( t in ctype for t in [ "INT", "DECIMAL", "REAL", "DOUBLE", "FLOAT", "NUMERIC", "HUGEINT", ] ) is_time = "TIMESTAMP" in ctype or "DATE" in ctype or "TIME" in ctype if need_numeric and not is_numeric: return ( jsonify( { "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) if allow_time and not (is_numeric or is_time): return ( jsonify( { "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) sql = build_query(params, column_types) try: rows = con.execute(sql).fetchall() except Exception as exc: tb = traceback.format_exc() print(f"Query failed:\n{sql}\n{tb}") return ( jsonify({"sql": sql, "error": str(exc), "traceback": tb}), 400, ) return jsonify({"sql": sql, "rows": rows}) return app app = create_app() if __name__ == "__main__": app.run(debug=True)

I see the server returns numeric types, and I'm planning to modify index.html for formatting. I'll also add a front-end test for number formatting in tests/test_web.py. Let's check codex_setup.sh for any test environment details.

shell
root@56f8face599b:/workspace/scubaduck# cat codex_setup.sh uv sync --frozen source .venv/bin/activate playwright install chromium echo "source .venv/bin/activate" >> ~/.bashrc

The environment uses Playwright, so I'll run ruff format, ruff check, pyright, and pytest -q. I'll look at the pyproject for more details after the patch.

shell
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", ]

I'll locate the test files and check bottom to confirm whether a table format test exists.

shell
root@56f8face599b:/workspace/scubaduck# tail -n 20 tests/test_web.py assert len(data["rows"]) == 1 row = data["rows"][0] assert row[0] == 4 from dateutil import parser ts = parser.parse(row[1]).replace(tzinfo=None) assert ts == parser.parse("2024-01-01 13:00:00") assert row[2] == 25 def test_table_headers_show_aggregate(page: Any, server_url: str) -> None: run_query( page, server_url, aggregate="Avg", ) headers = page.locator("#results th").all_inner_texts() assert "Hits" in headers assert "timestamp (avg)" in headers assert "value (avg)" in headers

I’m thinking of creating a formatting test. Maybe use a calculated large number with value * 10000.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "derived_columns" -r scubaduck | head scubaduck/server.py:35: derived_columns: dict[str, str] = field(default_facto ry=lambda: {}) scubaduck/server.py:131: for name, expr in params.derived_columns.items(): scubaduck/server.py:253: derived_columns=payload.get("derived_columns ", {}),
) return f"{agg}({col})" for col in params.columns: if col in params.group_by: continue select_parts.append(f"{agg_expr(col)} AS {col}") if params.show_hits: select_parts.insert(len(params.group_by), "count(*) AS Hits") else: select_parts.extend(params.columns) for name, expr in params.derived_columns.items(): select_parts.append(f"{expr} AS {name}") select_clause = ", ".join(select_parts) if select_parts else "*" query = f"SELECT {select_clause} FROM events" where_parts: list[str] = [] if params.start: where_parts.append(f"timestamp >= '{params.start}'") if params.end: where_parts.append(f"timestamp <= '{params.end}'") for f in params.filters: op = f.op if op in {"empty", "!empty"}: val = "''" else: if f.value is None: continue if isinstance(f.value, list): if not f.value: continue if op == "=": vals = " OR ".join(f"{f.column} = '{v}'" for v in f.value) where_parts.append(f"({vals})")

I'll review earlier or later sections to see the relevant features. Let's open the rest.

shell
where_parts.append(f"({vals})") continue val = f"'{f.value}'" if isinstance(f.value, str) else str(f.value) if op == "contains": where_parts.append(f"{f.column} ILIKE '%' || {val} || '%'") elif op == "!contains": where_parts.append(f"{f.column} NOT ILIKE '%' || {val} || '%'") elif op == "empty": where_parts.append(f"{f.column} = {val}") elif op == "!empty": where_parts.append(f"{f.column} != {val}") else: where_parts.append(f"{f.column} {op} {val}") if where_parts: query += " WHERE " + " AND ".join(where_parts) if params.group_by: query += " GROUP BY " + ", ".join(params.group_by) if params.order_by: query += f" ORDER BY {params.order_by} {params.order_dir}" if params.limit is not None: query += f" LIMIT {params.limit}" return query def create_app(db_file: str | Path | None = None) -> Flask: app = Flask(__name__, static_folder="static") db_path = Path(db_file or Path(__file__).with_name("sample.csv")).resolve() con = _load_database(db_path) column_types: Dict[str, str] = { r[1]: r[2] for r in con.execute("PRAGMA table_info(events)").fetchall() } sample_cache: Dict[Tuple[str, str], Tuple[List[str], float]] = {} CACHE_TTL = 60.0 CACHE_LIMIT = 200 @app.route("/") def index() -> Any: # pyright: ignore[reportUnusedFunction] assert app.static_folder is not None return send_from_directory(app.static_folder, "index.html") @app.route("/api/columns") def columns() -> Any: # pyright: ignore[reportUnusedFunction] rows = con.execute("PRAGMA table_info(events)").fetchall() return jsonify([{"name": r[1], "type": r[2]} for r in rows]) def _cache_get(key: Tuple[str, str]) -> List[str] | None: item = sample_cache.get(key) if item is None: return None vals, ts = item if time.time() - ts > CACHE_TTL: del sample_cache[key] return None sample_cache[key] = (vals, time.time()) return vals def _cache_set(key: Tuple[str, str], vals: List[str]) -> None: sample_cache[key] = (vals, time.time()) if len(sample_cache) > CACHE_LIMIT: oldest = min(sample_cache.items(), key=lambda kv: kv[1][1])[0] del sample_cache[oldest] @app.route("/api/samples") def sample_values() -> Any: # pyright: ignore[reportUnusedFunction] column = request.args.get("column") substr = request.args.get("q", "") if not column or column not in column_types:

I think I can send derived columns, but let's check further to be sure.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "derived_columns" -n tests/test_ server.py

I'll test by adding 'bigval' as a derived column to the query and evaluating.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "derived_columns" scubaduck/serv er.py 35: derived_columns: dict[str, str] = field(default_factory=lambda: {}) 131: for name, expr in params.derived_columns.items(): 253: derived_columns=payload.get("derived_columns", {}),
root@56f8face599b:/workspace/scubaduck# sed -n '120,160p' scubaduck/server.py ) return f"{agg}({col})" for col in params.columns: if col in params.group_by: continue select_parts.append(f"{agg_expr(col)} AS {col}") if params.show_hits: select_parts.insert(len(params.group_by), "count(*) AS Hits") else: select_parts.extend(params.columns) for name, expr in params.derived_columns.items(): select_parts.append(f"{expr} AS {name}") select_clause = ", ".join(select_parts) if select_parts else "*" query = f"SELECT {select_clause} FROM events" where_parts: list[str] = [] if params.start: where_parts.append(f"timestamp >= '{params.start}'") if params.end: where_parts.append(f"timestamp <= '{params.end}'") for f in params.filters: op = f.op if op in {"empty", "!empty"}: val = "''" else: if f.value is None: continue if isinstance(f.value, list): if not f.value: continue if op == "=": vals = " OR ".join(f"{f.column} = '{v}'" for v in f.value) where_parts.append(f"({vals})") continue val = f"'{f.value}'" if isinstance(f.value, str) else str(f.value) if op == "contains": where_parts.append(f"{f.column} ILIKE '%' || {val} || '%'") elif op == "!contains": where_parts.append(f"{f.column} NOT ILIKE '%' || {val} || '%'") elif op == "empty":

I'll create derived columns to test big, small, and zero values in the numbers.

I need to verify the DOM after run_query sends the query with derived_columns.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "derived_columns" tests/test_web .py

I'm considering modifying run_query for derived columns, but I'll need to check the tests.

shell
root@56f8face599b:/workspace/scubaduck# sed -n '0,44p' tests/test_web.py sed: -e expression #1, char 5: invalid usage of line address 0

Oops, I missed typing lines. Let’s display lines 1 through 40 instead.

shell
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) 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",
assert len(data["rows"]) == 2 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")

I'm scrolling further to find the TOT section near the end.

shell
| tail 88: data = run_query( 203: run_query( 269: data = run_query( 282: data = run_query( 596: run_query( 636: run_query( 693: data = run_query( 745: data = run_query( 760: data = run_query( 776: run_query(

I'll add an optional derived_columns parameter to run_query and modify it accordingly.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "collectParams" -n scubaduck/sta tic/index.html 758: const payload = collectParams(); 781:function collectParams() {
root@56f8face599b:/workspace/scubaduck# sed -n '781,820p' scubaduck/static/index .html function collectParams() { updateSelectedColumns(); const payload = { 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'), 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}; }) }; if (graphTypeSel.value === 'table') { payload.group_by = groupBy.chips || []; payload.aggregate = document.getElementById('aggregate').value; payload.show_hits = document.getElementById('show_hits').checked; } return payload; } function paramsToSearch(params) { const sp = new URLSearchParams(); 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.columns && params.columns.length) sp.set('columns', params.columns. join(',')); if (params.filters && params.filters.length) sp.set('filters', JSON.stringify( params.filters)); if (params.graph_type) sp.set('graph_type', params.graph_type); if (params.graph_type === 'table') {
root@56f8face599b:/workspace/scubaduck# sed -n '820,860p' scubaduck/static/index .html if (params.graph_type === 'table') { 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'); } const qs = sp.toString(); return qs ? '?' + qs : ''; } function applyParams(params) { 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; } graphTypeSel.value = params.graph_type || 'samples'; updateDisplayTypeUI(); 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; document.querySelectorAll('#column_groups input').forEach(cb => { cb.checked = !params.columns || params.columns.includes(cb.value); }); updateSelectedColumns(); 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'));

I’ll use page.evaluate to call formatNumber and test DOM formatting via JavaScript.

I’ll implement formatNumber, then use page.evaluate to test and check table output.

I’ll test the aggregation function and evaluate it on the page using group_by.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "evaluate(\"format" -n tests/tes t_web.py

I'll test by executing page.evaluate("formatNumber(1000)") and see if other functions work similarly.

shell
root@56f8face599b:/workspace/scubaduck# grep -n "page.evaluate" tests/test_web.p y | head -n 20 7: page.evaluate( 41: page.evaluate( 48: page.evaluate("window.lastResults = undefined") 51: return page.evaluate("window.lastResults") 105: page.evaluate( 115: data = page.evaluate("window.lastResults") 123: count = page.evaluate("document.querySelectorAll('#filters .filter').len gth") 125: last_is_button = page.evaluate( 129: position = page.evaluate( 138: diff = page.evaluate( 162: btn_color = page.evaluate( 167: sidebar_overflow = page.evaluate( 170: view_overflow = page.evaluate( 191: titles = page.evaluate( 196: text_align = page.evaluate( 213: align = page.evaluate( 226: first_sql = page.evaluate("window.lastResults.sql") 231: color = page.evaluate( 235: assert page.evaluate("window.lastResults.sql") == first_sql 244: color = page.evaluate(

I’ll create a test for the number formatting function to validate its outputs.

shell
root@56f8face599b:/workspace/scubaduck# sed -n '510,540p' scubaduck/static/index .html } 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(); return t.includes('TIMESTAMP'); } function initChipInput(filter, fetchOptions) { const input = filter.querySelector('.f-val'); const chipsEl = filter.querySelector('.chip-input'); const dropdown = filter.querySelector('.chip-dropdown'); const copyBtn = filter.querySelector('.chip-copy'); const chips = []; filter.chips = chips; filter.renderChips = renderChips; filter.addChip = addChip; let highlight = 0; chipsEl.addEventListener('click', () => { input.focus(); });

I’ll define formatNumber after isTimeColumn, update renderTable, and add a test.

I’ll check formatting rules, adjust expected outputs, and run tests after sourcing .venv.

shell
root@56f8face599b:/workspace/scubaduck# ls -a . .git .gitignore AGENTS.md codex_setup.sh scubaduck tests .. .github .venv README.md pyproject.toml stubs uv.lock

I'll attempt to activate the environment using 'source .venv/bin/activate.' Let's see.

shell
root@56f8face599b:/workspace/scubaduck# source .venv/bin/activate (scubaduck) root@56f8face599b:/workspace/scubaduck#

Time to check the status of the repository with git status.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# git status --short (scubaduck) root@56f8face599b:/workspace/scubaduck#

I’m cleaning up the working tree now and will modify index.html.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# sed -n '520,548p' scubaduck/ static/index.html } function isTimeColumn(name) { const t = (columnTypes[name] || '').toUpperCase(); return t.includes('TIMESTAMP'); } function initChipInput(filter, fetchOptions) { const input = filter.querySelector('.f-val'); const chipsEl = filter.querySelector('.chip-input'); const dropdown = filter.querySelector('.chip-dropdown'); const copyBtn = filter.querySelector('.chip-copy'); const chips = []; filter.chips = chips; filter.renderChips = renderChips; filter.addChip = addChip; let highlight = 0; chipsEl.addEventListener('click', () => { input.focus(); }); function renderChips() { chipsEl.querySelectorAll('.chip').forEach(c => c.remove()); chips.forEach((v, i) => { const span = document.createElement('span'); span.className = 'chip'; span.textContent = v; const x = document.createElement('span'); (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll add the function right after isTimeColumn and before initChipInput.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# sed -n '528,538p' scubaduck/ static/index.html const input = filter.querySelector('.f-val'); const chipsEl = filter.querySelector('.chip-input'); const dropdown = filter.querySelector('.chip-dropdown'); const copyBtn = filter.querySelector('.chip-copy'); const chips = []; filter.chips = chips; filter.renderChips = renderChips; filter.addChip = addChip; let highlight = 0; chipsEl.addEventListener('click', () => { (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll backtrack a bit to find and fix the earlier issue.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# sed -n '508,528p' scubaduck/ static/index.html selectedColumns = base; } } 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(); return t.includes('TIMESTAMP'); } function initChipInput(filter, fetchOptions) { const input = filter.querySelector('.f-val'); (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll add the function right after the isTimeColumn function, just after line 521.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# sed -n '518,526p' scubaduck/ static/index.html const t = (columnTypes[name] || '').toUpperCase(); return t.includes('INT'); } function isTimeColumn(name) { const t = (columnTypes[name] || '').toUpperCase(); return t.includes('TIMESTAMP'); } (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll add the patch after the isTimeColumn function, checking a couple of blank lines.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# sed -n '526,536p' scubaduck/ static/index.html function initChipInput(filter, fetchOptions) { const input = filter.querySelector('.f-val'); const chipsEl = filter.querySelector('.chip-input'); const dropdown = filter.querySelector('.chip-dropdown'); const copyBtn = filter.querySelector('.chip-copy'); const chips = []; filter.chips = chips; filter.renderChips = renderChips; filter.addChip = addChip; let highlight = 0; (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll add the new function between isTimeColumn and initChipInput. Time to patch!

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# apply_patch<<'PATCH' > *** Begin Patch > *** Update File: scubaduck/static/index.html > @@ > function isTimeColumn(name) { > const t = (columnTypes[name] || '').toUpperCase(); > return t.includes('TIMESTAMP'); > } > + > +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'; > + return val.toFixed(3); > +} > *** End Patch > PATCH Success. Updated the following files: M scubaduck/static/index.html (scubaduck) root@56f8face599b:/workspace/scubaduck#

I’ll modify renderTable to incorporate formatNumber. Let’s open the snippet again.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# sed -n '944,980p' scubaduck/ static/index.html if ( displayType === 'table' && col !== 'Hits' && !(groupBy.chips || []).includes(col) ) { const agg = document.getElementById('aggregate').value.toLowerCase(); label += ` (${agg})`; } th.textContent = label; th.dataset.index = i; th.addEventListener('click', handleSort); if (sortState.index === i) { th.classList.add('sorted'); th.textContent = label + (sortState.dir === 'desc' ? ' \u25BC' : ' \u25B2'); } if (!isStringColumn(col)) th.style.textAlign = 'right'; header.appendChild(th); }); table.appendChild(header); rows.forEach(row => { const tr = document.createElement('tr'); tr.addEventListener('click', () => { tr.classList.toggle('selected'); }); row.forEach((v, i) => { const col = selectedColumns[i]; const td = document.createElement('td'); if (isTimeColumn(col)) { const d = new Date(v); td.textContent = d.toLocaleString('en-US', { weekday: 'short', month: 'short', day: 'numeric', year: 'numeric', hour: 'numeric', minute: 'numeric',
(scubaduck) root@56f8face599b:/workspace/scubaduck# sed -n '980,1016p' scubaduck /static/index.html minute: 'numeric', second: 'numeric', hour12: true, timeZoneName: 'short' }); } else { if (col === 'Hits') { const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0'; td.textContent = `${v} (${pct}%)`; } else { td.textContent = v; } } 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'; (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll update the code to call formatNumber when setting td.textContent. Time to patch!

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# apply_patch<<'PATCH' > *** Begin Patch > *** Update File: scubaduck/static/index.html > @@ > if (isTimeColumn(col)) { > const d = new Date(v); > td.textContent = d.toLocaleString('en-US', { > weekday: 'short', > month: 'short', > @@ > } else { > if (col === 'Hits') { > const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0'; > - td.textContent = `${v} (${pct}%)`; > + td.textContent = `${formatNumber(v)} (${pct}%)`; > } else { > - td.textContent = v; > + td.textContent = isStringColumn(col) ? v : formatNumber(v); > } > } > td.style.textAlign = isStringColumn(col) ? 'left' : 'right'; > *** End Patch > PATCH Success. Updated the following files: M scubaduck/static/index.html (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll work on adding the test in tests/test_web.py. Let's reopen the bottom lines.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# tail -n 20 tests/test_web.py assert len(data["rows"]) == 1 row = data["rows"][0] assert row[0] == 4 from dateutil import parser ts = parser.parse(row[1]).replace(tzinfo=None) assert ts == parser.parse("2024-01-01 13:00:00") assert row[2] == 25 def test_table_headers_show_aggregate(page: Any, server_url: str) -> None: run_query( page, server_url, aggregate="Avg", ) headers = page.locator("#results th").all_inner_texts() assert "Hits" in headers assert "timestamp (avg)" in headers assert "value (avg)" in headers (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll add a test for the formatNumber function below the current tests.

shell
> *** Begin Patch > *** Update File: tests/test_web.py > @@ > def test_table_headers_show_aggregate(page: Any, server_url: str) -> None: > run_query( > page, > server_url, > aggregate="Avg", > ) > headers = page.locator("#results th").all_inner_texts() > assert "Hits" in headers > assert "timestamp (avg)" in headers > assert "value (avg)" in headers > + > + > +def test_format_number_function(page: Any, server_url: str) -> None: > + page.goto(server_url) > + page.wait_for_selector("#order_by option", state="attached") > + vals = page.evaluate( > + "() => [formatNumber(815210), formatNumber(999.999), formatNumber(0.0 004), formatNumber(0)]" > + ) > + assert vals == ["815.21 K", "999.999", "0.000", "0"] > *** End Patch > PATCH Success. Updated the following files: M tests/test_web.py
(scubaduck) root@56f8face599b:/workspace/scubaduck# ruff format scubaduck/static /index.html tests/test_web.py error: Failed to parse scubaduck/static/index.html:1:1: Expected a statement 1 file left unchanged (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll run ruff format only for Python file tests/test_web.py and skip index.html.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# ruff format tests/test_web.p y 1 file left unchanged
(scubaduck) root@56f8face599b:/workspace/scubaduck# ruff check . All checks passed!
(scubaduck) root@56f8face599b:/workspace/scubaduck# pyright
(scubaduck) root@56f8face599b:/workspace/scubaduck#

It looks like pyright isn't recognized, but I'll proceed by adjusting the path.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# pyright
0 errors, 0 warnings, 0 informations (scubaduck) root@56f8face599b:/workspace/scubaduck#

I’m testing things out now. Let’s see how this goes!

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# pytest -q
bringing up nodes...



..................................................... [100%] 53 passed in 9.84s (scubaduck) root@56f8face599b:/workspace/scubaduck#

Time to verify the git status after passing all the tests.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# git status --short M scubaduck/static/index.html M tests/test_web.py (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll display the changes using a diff format.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# git diff --stat scubaduck/static/index.html | 26 ++++++++++++++++++++++++-- tests/test_web.py | 9 +++++++++ 2 files changed, 33 insertions(+), 2 deletions(-)
(scubaduck) root@56f8face599b:/workspace/scubaduck# git add scubaduck/static/ind ex.html tests/test_web.py
(scubaduck) root@56f8face599b:/workspace/scubaduck# git commit -m "feat(frontend ): format numbers with SI units" && git status --short [work 3d468d9] feat(frontend): format numbers with SI units 2 files changed, 33 insertions(+), 2 deletions(-)
(scubaduck) root@56f8face599b:/workspace/scubaduck# git status --short (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll add context lines from index.html around the new function for citation.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# nl -ba scubaduck/static/inde x.html | sed -n '520,560p' 520 } 521 522 function isTimeColumn(name) { 523 const t = (columnTypes[name] || '').toUpperCase(); 524 return t.includes('TIMESTAMP'); 525 } 526 527 function formatNumber(val) { 528 if (typeof val !== 'number') val = Number(val); 529 if (Number.isNaN(val)) return ''; 530 if (val === 0) return '0'; 531 const abs = Math.abs(val); 532 if (abs > 999.999) { 533 const units = [ 534 {n: 1e12, s: 'T'}, 535 {n: 1e9, s: 'B'}, 536 {n: 1e6, s: 'M'}, 537 {n: 1e3, s: 'K'}, 538 ]; 539 for (const u of units) { 540 if (abs >= u.n) { 541 return (val / u.n).toFixed(2) + ' ' + u.s; 542 } 543 } 544 } 545 if (abs < 0.0005) return '0.000'; 546 return val.toFixed(3); 547 } 548 549 function initChipInput(filter, fetchOptions) { 550 const input = filter.querySelector('.f-val'); 551 const chipsEl = filter.querySelector('.chip-input'); 552 const dropdown = filter.querySelector('.chip-dropdown'); 553 const copyBtn = filter.querySelector('.chip-copy'); 554 const chips = []; 555 filter.chips = chips; 556 filter.renderChips = renderChips; 557 filter.addChip = addChip; 558 let highlight = 0; 559 560 chipsEl.addEventListener('click', () => { (scubaduck) root@56f8face599b:/workspace/scubaduck#

I'll focus on lines affected by the new usage for this patch.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# nl -ba scubaduck/static/inde x.html | sed -n '976,1012p' 976 month: 'short', 977 day: 'numeric', 978 year: 'numeric', 979 hour: 'numeric', 980 minute: 'numeric', 981 second: 'numeric', 982 hour12: true, 983 timeZoneName: 'short' 984 }); 985 } else { 986 if (col === 'Hits') { 987 const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : ' 0'; 988 td.textContent = `${formatNumber(v)} (${pct}%)`; 989 } else { 990 td.textContent = isStringColumn(col) ? v : formatNumber(v); 991 } 992 } 993 td.style.textAlign = isStringColumn(col) ? 'left' : 'right'; 994 tr.appendChild(td); 995 }); 996 table.appendChild(tr); 997 }); 998 // ensure table does not overflow unless necessary 999 const view = document.getElementById('view'); 1000 if (table.scrollWidth <= view.clientWidth) { 1001 table.style.width = '100%'; 1002 } 1003 } 1004 1005 function handleSort(e) { 1006 const idx = parseInt(e.target.dataset.index, 10); 1007 if (sortState.index !== idx) { 1008 sortState.index = idx; 1009 sortState.dir = 'asc'; 1010 } else if (sortState.dir === 'asc') { 1011 sortState.dir = 'desc'; 1012 } else if (sortState.dir === 'desc') { (scubaduck) root@56f8face599b:/workspace/scubaduck#

I’ll pull up the lines for the new test.

shell
(scubaduck) root@56f8face599b:/workspace/scubaduck# nl -ba tests/test_web.py | t ail -n 20 774 775 def test_table_headers_show_aggregate(page: Any, server_url: str) -> Non e: 776 run_query( 777 page, 778 server_url, 779 aggregate="Avg", 780 ) 781 headers = page.locator("#results th").all_inner_texts() 782 assert "Hits" in headers 783 assert "timestamp (avg)" in headers 784 assert "value (avg)" in headers 785 786 787 def test_format_number_function(page: Any, server_url: str) -> None: 788 page.goto(server_url) 789 page.wait_for_selector("#order_by option", state="attached") 790 vals = page.evaluate( 791 "() => [formatNumber(815210), formatNumber(999.999), formatNumbe r(0.0004), formatNumber(0)]" 792 ) 793 assert vals == ["815.21 K", "999.999", "0.000", "0"] (scubaduck) root@56f8face599b:/workspace/scubaduck#

Time to open a PR for the changes I made!