Codex Task Logs

Task ID: task_e_682f6e41094483239710b39dc981ec71

Environment setup
Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) pytest-base-url ------------------------------ 5.18 KiB/5.18 KiB itsdangerous ------------------------------ 15.85 KiB/15.85 KiB typing-extensions ------------------------------ 44.73 KiB/44.73 KiB pytest-xdist ------------------------------ 16.00 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 16.00 KiB/64.91 KiB text-unidecode ------------------------------ 76.32 KiB/76.32 KiB click ------------------------------ 48.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 95.73 KiB/125.66 KiB jinja2 ------------------------------ 70.06 KiB/131.74 KiB charset-normalizer ------------------------------ 140.26 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 48.00 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 62.09 KiB/335.58 KiB greenlet ------------------------------ 112.00 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 272.00 KiB/11.02 MiB duckdb ------------------------------ 32.00 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB typing-extensions ------------------------------ 44.73 KiB/44.73 KiB pytest-xdist ------------------------------ 16.00 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 16.00 KiB/64.91 KiB text-unidecode ------------------------------ 76.32 KiB/76.32 KiB click ------------------------------ 64.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 95.73 KiB/125.66 KiB jinja2 ------------------------------ 70.06 KiB/131.74 KiB charset-normalizer ------------------------------ 140.26 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 48.00 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 62.09 KiB/335.58 KiB greenlet ------------------------------ 125.61 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 272.00 KiB/11.02 MiB duckdb ------------------------------ 32.00 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB typing-extensions ------------------------------ 44.73 KiB/44.73 KiB pytest-xdist ------------------------------ 16.00 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 16.00 KiB/64.91 KiB click ------------------------------ 64.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 95.73 KiB/125.66 KiB jinja2 ------------------------------ 70.06 KiB/131.74 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 48.00 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 62.09 KiB/335.58 KiB greenlet ------------------------------ 125.61 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 272.00 KiB/11.02 MiB duckdb ------------------------------ 46.91 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 16.00 KiB/64.91 KiB click ------------------------------ 64.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 95.73 KiB/125.66 KiB jinja2 ------------------------------ 70.06 KiB/131.74 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 64.00 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 78.09 KiB/335.58 KiB greenlet ------------------------------ 141.61 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 288.00 KiB/11.02 MiB duckdb ------------------------------ 62.91 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 32.00 KiB/64.91 KiB click ------------------------------ 64.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 95.73 KiB/125.66 KiB jinja2 ------------------------------ 86.06 KiB/131.74 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB werkzeug ------------------------------ 80.00 KiB/219.24 KiB python-dateutil ------------------------------ 75.76 KiB/224.50 KiB pytest ------------------------------ 78.09 KiB/335.58 KiB greenlet ------------------------------ 205.61 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 352.00 KiB/11.02 MiB duckdb ------------------------------ 126.91 KiB/19.27 MiB playwright ------------------------------ 64.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) itsdangerous ------------------------------ 15.85 KiB/15.85 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 95.73 KiB/125.66 KiB jinja2 ------------------------------ 102.06 KiB/131.74 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB werkzeug ------------------------------ 80.00 KiB/219.24 KiB python-dateutil ------------------------------ 107.76 KiB/224.50 KiB pytest ------------------------------ 110.09 KiB/335.58 KiB greenlet ------------------------------ 269.61 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 414.69 KiB/11.02 MiB duckdb ------------------------------ 190.91 KiB/19.27 MiB playwright ------------------------------ 64.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 95.73 KiB/125.66 KiB jinja2 ------------------------------ 102.06 KiB/131.74 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB werkzeug ------------------------------ 80.00 KiB/219.24 KiB python-dateutil ------------------------------ 123.76 KiB/224.50 KiB pytest ------------------------------ 110.09 KiB/335.58 KiB greenlet ------------------------------ 285.61 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 446.69 KiB/11.02 MiB duckdb ------------------------------ 206.91 KiB/19.27 MiB playwright ------------------------------ 64.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 48.00 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 111.73 KiB/125.66 KiB jinja2 ------------------------------ 118.06 KiB/131.74 KiB werkzeug ------------------------------ 96.00 KiB/219.24 KiB python-dateutil ------------------------------ 187.76 KiB/224.50 KiB pytest ------------------------------ 110.09 KiB/335.58 KiB greenlet ------------------------------ 349.61 KiB/589.71 KiB pyright ------------------------------ 14.90 KiB/5.31 MiB ruff ------------------------------ 494.69 KiB/11.02 MiB duckdb ------------------------------ 270.91 KiB/19.27 MiB playwright ------------------------------ 64.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB click ------------------------------ 96.00 KiB/99.76 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 111.73 KiB/125.66 KiB jinja2 ------------------------------ 118.06 KiB/131.74 KiB werkzeug ------------------------------ 96.00 KiB/219.24 KiB python-dateutil ------------------------------ 203.76 KiB/224.50 KiB pytest ------------------------------ 110.09 KiB/335.58 KiB greenlet ------------------------------ 349.61 KiB/589.71 KiB pyright ------------------------------ 30.90 KiB/5.31 MiB ruff ------------------------------ 510.69 KiB/11.02 MiB duckdb ------------------------------ 270.91 KiB/19.27 MiB playwright ------------------------------ 64.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 96.00 KiB/100.88 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB jinja2 ------------------------------ 131.74 KiB/131.74 KiB werkzeug ------------------------------ 112.00 KiB/219.24 KiB python-dateutil ------------------------------ 224.50 KiB/224.50 KiB pytest ------------------------------ 174.09 KiB/335.58 KiB greenlet ------------------------------ 461.61 KiB/589.71 KiB pyright ------------------------------ 174.90 KiB/5.31 MiB ruff ------------------------------ 686.69 KiB/11.02 MiB duckdb ------------------------------ 456.56 KiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 96.00 KiB/100.88 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB jinja2 ------------------------------ 131.74 KiB/131.74 KiB werkzeug ------------------------------ 112.00 KiB/219.24 KiB pytest ------------------------------ 190.09 KiB/335.58 KiB greenlet ------------------------------ 461.61 KiB/589.71 KiB pyright ------------------------------ 238.90 KiB/5.31 MiB ruff ------------------------------ 750.69 KiB/11.02 MiB duckdb ------------------------------ 520.56 KiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB flask ------------------------------ 96.00 KiB/100.88 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB jinja2 ------------------------------ 131.74 KiB/131.74 KiB werkzeug ------------------------------ 112.00 KiB/219.24 KiB pytest ------------------------------ 190.09 KiB/335.58 KiB greenlet ------------------------------ 461.61 KiB/589.71 KiB pyright ------------------------------ 238.90 KiB/5.31 MiB ruff ------------------------------ 750.69 KiB/11.02 MiB duckdb ------------------------------ 520.56 KiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB jinja2 ------------------------------ 131.74 KiB/131.74 KiB werkzeug ------------------------------ 112.00 KiB/219.24 KiB pytest ------------------------------ 190.09 KiB/335.58 KiB greenlet ------------------------------ 461.61 KiB/589.71 KiB pyright ------------------------------ 254.90 KiB/5.31 MiB ruff ------------------------------ 766.69 KiB/11.02 MiB duckdb ------------------------------ 536.56 KiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 112.00 KiB/219.24 KiB pytest ------------------------------ 190.09 KiB/335.58 KiB greenlet ------------------------------ 461.61 KiB/589.71 KiB pyright ------------------------------ 270.90 KiB/5.31 MiB ruff ------------------------------ 782.69 KiB/11.02 MiB duckdb ------------------------------ 552.56 KiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) flask ------------------------------ 100.88 KiB/100.88 KiB werkzeug ------------------------------ 112.00 KiB/219.24 KiB pytest ------------------------------ 190.09 KiB/335.58 KiB greenlet ------------------------------ 461.61 KiB/589.71 KiB pyright ------------------------------ 270.90 KiB/5.31 MiB ruff ------------------------------ 782.69 KiB/11.02 MiB duckdb ------------------------------ 552.56 KiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) werkzeug ------------------------------ 128.00 KiB/219.24 KiB pytest ------------------------------ 190.09 KiB/335.58 KiB greenlet ------------------------------ 477.61 KiB/589.71 KiB pyright ------------------------------ 286.90 KiB/5.31 MiB ruff ------------------------------ 798.69 KiB/11.02 MiB duckdb ------------------------------ 568.56 KiB/19.27 MiB playwright ------------------------------ 96.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) werkzeug ------------------------------ 143.38 KiB/219.24 KiB pytest ------------------------------ 206.09 KiB/335.58 KiB greenlet ------------------------------ 477.61 KiB/589.71 KiB pyright ------------------------------ 478.47 KiB/5.31 MiB ruff ------------------------------ 990.69 KiB/11.02 MiB duckdb ------------------------------ 760.56 KiB/19.27 MiB playwright ------------------------------ 112.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (0/33) werkzeug ------------------------------ 175.38 KiB/219.24 KiB pytest ------------------------------ 270.09 KiB/335.58 KiB greenlet ------------------------------ 493.61 KiB/589.71 KiB pyright ------------------------------ 958.47 KiB/5.31 MiB ruff ------------------------------ 1.45 MiB/11.02 MiB duckdb ------------------------------ 1.22 MiB/19.27 MiB playwright ------------------------------ 336.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (25/33) pytest ------------------------------ 335.58 KiB/335.58 KiB greenlet ------------------------------ 541.61 KiB/589.71 KiB pyright ------------------------------ 1.32 MiB/5.31 MiB ruff ------------------------------ 1.84 MiB/11.02 MiB duckdb ------------------------------ 1.61 MiB/19.27 MiB playwright ------------------------------ 749.51 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (25/33) pytest ------------------------------ 335.58 KiB/335.58 KiB greenlet ------------------------------ 541.61 KiB/589.71 KiB pyright ------------------------------ 1.38 MiB/5.31 MiB ruff ------------------------------ 2.01 MiB/11.02 MiB duckdb ------------------------------ 1.78 MiB/19.27 MiB playwright ------------------------------ 941.51 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (25/33) greenlet ------------------------------ 557.61 KiB/589.71 KiB pyright ------------------------------ 1.49 MiB/5.31 MiB ruff ------------------------------ 2.12 MiB/11.02 MiB duckdb ------------------------------ 1.90 MiB/19.27 MiB playwright ------------------------------ 1.02 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (25/33) greenlet ------------------------------ 589.71 KiB/589.71 KiB pyright ------------------------------ 1.79 MiB/5.31 MiB ruff ------------------------------ 2.72 MiB/11.02 MiB duckdb ------------------------------ 2.47 MiB/19.27 MiB playwright ------------------------------ 1.58 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (25/33) pyright ------------------------------ 1.79 MiB/5.31 MiB ruff ------------------------------ 2.87 MiB/11.02 MiB duckdb ------------------------------ 2.62 MiB/19.27 MiB playwright ------------------------------ 1.73 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (25/33) pyright ------------------------------ 1.81 MiB/5.31 MiB ruff ------------------------------ 3.45 MiB/11.02 MiB duckdb ------------------------------ 3.20 MiB/19.27 MiB playwright ------------------------------ 2.33 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (25/33) pyright ------------------------------ 1.84 MiB/5.31 MiB ruff ------------------------------ 4.12 MiB/11.02 MiB duckdb ------------------------------ 3.85 MiB/19.27 MiB playwright ------------------------------ 2.97 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.88 MiB/5.31 MiB ruff ------------------------------ 4.86 MiB/11.02 MiB duckdb ------------------------------ 4.57 MiB/19.27 MiB playwright ------------------------------ 3.69 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.92 MiB/5.31 MiB ruff ------------------------------ 5.62 MiB/11.02 MiB duckdb ------------------------------ 5.37 MiB/19.27 MiB playwright ------------------------------ 4.48 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.96 MiB/5.31 MiB ruff ------------------------------ 6.46 MiB/11.02 MiB duckdb ------------------------------ 6.20 MiB/19.27 MiB playwright ------------------------------ 5.31 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.99 MiB/5.31 MiB ruff ------------------------------ 7.29 MiB/11.02 MiB duckdb ------------------------------ 7.04 MiB/19.27 MiB playwright ------------------------------ 6.15 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.03 MiB/5.31 MiB ruff ------------------------------ 8.01 MiB/11.02 MiB duckdb ------------------------------ 7.75 MiB/19.27 MiB playwright ------------------------------ 6.89 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.08 MiB/5.31 MiB ruff ------------------------------ 8.75 MiB/11.02 MiB duckdb ------------------------------ 8.46 MiB/19.27 MiB playwright ------------------------------ 7.61 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.09 MiB/5.31 MiB ruff ------------------------------ 9.48 MiB/11.02 MiB duckdb ------------------------------ 9.19 MiB/19.27 MiB playwright ------------------------------ 8.32 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.12 MiB/5.31 MiB ruff ------------------------------ 10.27 MiB/11.02 MiB duckdb ------------------------------ 9.99 MiB/19.27 MiB playwright ------------------------------ 9.12 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.14 MiB/5.31 MiB duckdb ------------------------------ 10.82 MiB/19.27 MiB playwright ------------------------------ 9.95 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.14 MiB/5.31 MiB duckdb ------------------------------ 10.84 MiB/19.27 MiB playwright ------------------------------ 9.95 MiB/43.05 MiB Built scubaduck @ file:///workspace/scubaduck ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.15 MiB/5.31 MiB duckdb ------------------------------ 11.58 MiB/19.27 MiB playwright ------------------------------ 10.71 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.17 MiB/5.31 MiB duckdb ------------------------------ 11.89 MiB/19.27 MiB playwright ------------------------------ 11.01 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.18 MiB/5.31 MiB duckdb ------------------------------ 13.05 MiB/19.27 MiB playwright ------------------------------ 12.21 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.20 MiB/5.31 MiB duckdb ------------------------------ 14.31 MiB/19.27 MiB playwright ------------------------------ 13.41 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.21 MiB/5.31 MiB duckdb ------------------------------ 15.53 MiB/19.27 MiB playwright ------------------------------ 14.69 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.23 MiB/5.31 MiB duckdb ------------------------------ 16.76 MiB/19.27 MiB playwright ------------------------------ 15.92 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.25 MiB/5.31 MiB duckdb ------------------------------ 17.98 MiB/19.27 MiB playwright ------------------------------ 17.08 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.26 MiB/5.31 MiB duckdb ------------------------------ 19.10 MiB/19.27 MiB playwright ------------------------------ 18.22 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.34 MiB/5.31 MiB duckdb ------------------------------ 19.27 MiB/19.27 MiB playwright ------------------------------ 19.90 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.34 MiB/5.31 MiB playwright ------------------------------ 20.01 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.39 MiB/5.31 MiB playwright ------------------------------ 22.25 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.42 MiB/5.31 MiB playwright ------------------------------ 24.66 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.43 MiB/5.31 MiB playwright ------------------------------ 27.17 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.45 MiB/5.31 MiB playwright ------------------------------ 29.86 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.48 MiB/5.31 MiB playwright ------------------------------ 32.48 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.51 MiB/5.31 MiB playwright ------------------------------ 34.76 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.53 MiB/5.31 MiB playwright ------------------------------ 37.22 MiB/43.05 MiB ⠙ Preparing packages... (31/33) pyright ------------------------------ 2.57 MiB/5.31 MiB playwright ------------------------------ 39.33 MiB/43.05 MiB ⠙ Preparing packages... 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(32/33) Prepared 33 packages in 2.62s ░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] iniconfig==2.1.0 ░░░░░░░░░░░░░░░░░░░░ [1/33] iniconfig==2.1.0 ░░░░░░░░░░░░░░░░░░░░ [1/33] itsdangerous==2.2.0 █░░░░░░░░░░░░░░░░░░░ [2/33] itsdangerous==2.2.0 █░░░░░░░░░░░░░░░░░░░ [2/33] markupsafe==3.0.2 █░░░░░░░░░░░░░░░░░░░ [3/33] markupsafe==3.0.2 █░░░░░░░░░░░░░░░░░░░ [3/33] pyee==13.0.0 ██░░░░░░░░░░░░░░░░░░ [4/33] pyee==13.0.0 ██░░░░░░░░░░░░░░░░░░ [4/33] six==1.17.0 ███░░░░░░░░░░░░░░░░░ [5/33] six==1.17.0 ███░░░░░░░░░░░░░░░░░ [5/33] python-slugify==8.0.4 ███░░░░░░░░░░░░░░░░░ [6/33] python-slugify==8.0.4 ███░░░░░░░░░░░░░░░░░ [6/33] blinker==1.9.0 ████░░░░░░░░░░░░░░░░ [7/33] blinker==1.9.0 ████░░░░░░░░░░░░░░░░ [7/33] charset-normalizer==3.4.2 ████░░░░░░░░░░░░░░░░ [8/33] charset-normalizer==3.4.2 ████░░░░░░░░░░░░░░░░ [8/33] pluggy==1.6.0 █████░░░░░░░░░░░░░░░ [9/33] pluggy==1.6.0 ███████████████████░ [32/33] pyright==1.1.400 ████████████████████ [33/33] pyright==1.1.400 Installed 33 packages in 102ms + blinker==1.9.0 + certifi==2025.4.26 + charset-normalizer==3.4.2 + click==8.2.0 + duckdb==1.2.2 + execnet==2.1.1 + flask==3.1.1 + greenlet==3.2.2 + idna==3.10 + iniconfig==2.1.0 + itsdangerous==2.2.0 + jinja2==3.1.6 + markupsafe==3.0.2 + nodeenv==1.9.1 + packaging==25.0 + playwright==1.52.0 + pluggy==1.6.0 + pyee==13.0.0 + pyright==1.1.400 + pytest==8.3.5 + pytest-base-url==2.1.0 + pytest-playwright==0.7.0 + pytest-xdist==3.6.1 + python-dateutil==2.9.0.post0 + python-slugify==8.0.4 + requests==2.32.3 + ruff==0.11.10 + scubaduck==0.1.0 (from file:///workspace/scubaduck) + six==1.17.0 + text-unidecode==1.3 + typing-extensions==4.13.2 + urllib3==2.4.0 + werkzeug==3.1.3 ++ source .venv/bin/activate +++ '[' -z '' ']' +++ '[' -n x ']' +++ SCRIPT_PATH=.venv/bin/activate +++ '[' .venv/bin/activate = /tmp/j20Knv-setup_script.sh ']' +++ deactivate nondestructive +++ unset -f pydoc +++ '[' -z '' ']' +++ '[' -z '' ']' +++ hash -r +++ '[' -z '' ']' +++ unset VIRTUAL_ENV +++ unset VIRTUAL_ENV_PROMPT +++ '[' '!' nondestructive = nondestructive ']' +++ VIRTUAL_ENV=/workspace/scubaduck/.venv +++ '[' linux-gnu = cygwin ']' +++ '[' linux-gnu = msys ']' +++ export VIRTUAL_ENV +++ '[' -z '' ']' +++ unset SCRIPT_PATH +++ _OLD_VIRTUAL_PATH=/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.15.1/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ PATH=/workspace/scubaduck/.venv/bin:/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.15.1/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ export PATH +++ '[' xscubaduck '!=' x ']' +++ VIRTUAL_ENV_PROMPT='(scubaduck) ' +++ export VIRTUAL_ENV_PROMPT +++ '[' -z '' ']' +++ '[' -z '' ']' +++ _OLD_VIRTUAL_PS1= +++ PS1='(scubaduck) ' +++ export PS1 +++ alias pydoc +++ true +++ hash -r ++ python -c 'import os; import duckdb; con = duckdb.connect(); con.execute(f"SET http_proxy = '\''{os.getenv("HTTP_PROXY")}'\''"); con.execute("INSTALL '\''sqlite'\'';")' ++ playwright install chromium Downloading Chromium 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-linux.zip 167.7 MiB [] 0% 0.0s167.7 MiB [] 0% 39.4s167.7 MiB [] 0% 24.7s167.7 MiB [] 0% 16.0s167.7 MiB [] 0% 9.5s167.7 MiB [] 1% 6.0s167.7 MiB [] 2% 4.7s167.7 MiB [] 3% 3.9s167.7 MiB [] 3% 4.1s167.7 MiB [] 4% 3.7s167.7 MiB [] 5% 3.2s167.7 MiB [] 6% 3.0s167.7 MiB [] 6% 2.8s167.7 MiB [] 7% 2.6s167.7 MiB [] 8% 2.5s167.7 MiB [] 9% 2.3s167.7 MiB [] 10% 2.3s167.7 MiB [] 11% 2.2s167.7 MiB [] 12% 2.0s167.7 MiB [] 13% 2.0s167.7 MiB [] 15% 1.9s167.7 MiB [] 16% 1.8s167.7 MiB [] 18% 1.7s167.7 MiB [] 19% 1.6s167.7 MiB [] 21% 1.5s167.7 MiB [] 22% 1.5s167.7 MiB [] 23% 1.5s167.7 MiB [] 25% 1.4s167.7 MiB [] 26% 1.3s167.7 MiB [] 27% 1.3s167.7 MiB [] 28% 1.3s167.7 MiB [] 30% 1.2s167.7 MiB [] 32% 1.2s167.7 MiB [] 33% 1.1s167.7 MiB [] 34% 1.1s167.7 MiB [] 35% 1.1s167.7 MiB [] 36% 1.1s167.7 MiB [] 38% 1.0s167.7 MiB [] 39% 1.0s167.7 MiB [] 40% 1.0s167.7 MiB [] 42% 0.9s167.7 MiB [] 44% 0.9s167.7 MiB [] 45% 0.8s167.7 MiB [] 47% 0.8s167.7 MiB [] 48% 0.8s167.7 MiB [] 50% 0.8s167.7 MiB [] 51% 0.7s167.7 MiB [] 53% 0.7s167.7 MiB [] 54% 0.7s167.7 MiB [] 56% 0.6s167.7 MiB [] 57% 0.6s167.7 MiB [] 58% 0.6s167.7 MiB [] 60% 0.6s167.7 MiB [] 61% 0.6s167.7 MiB [] 63% 0.5s167.7 MiB [] 64% 0.5s167.7 MiB [] 66% 0.5s167.7 MiB [] 67% 0.5s167.7 MiB [] 68% 0.4s167.7 MiB [] 69% 0.4s167.7 MiB [] 71% 0.4s167.7 MiB [] 72% 0.4s167.7 MiB [] 73% 0.4s167.7 MiB [] 75% 0.3s167.7 MiB [] 77% 0.3s167.7 MiB [] 78% 0.3s167.7 MiB [] 80% 0.3s167.7 MiB [] 81% 0.2s167.7 MiB [] 83% 0.2s167.7 MiB [] 85% 0.2s167.7 MiB [] 86% 0.2s167.7 MiB [] 88% 0.2s167.7 MiB [] 89% 0.1s167.7 MiB [] 91% 0.1s167.7 MiB [] 92% 0.1s167.7 MiB [] 94% 0.1s167.7 MiB [] 95% 0.1s167.7 MiB [] 96% 0.0s167.7 MiB [] 98% 0.0s167.7 MiB [] 100% 0.0s Chromium 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium-1169 Downloading FFMPEG playwright build v1011 from https://cdn.playwright.dev/dbazure/download/playwright/builds/ffmpeg/1011/ffmpeg-linux.zip 2.3 MiB [] 0% 0.0s2.3 MiB [] 3% 0.4s2.3 MiB [] 7% 0.4s2.3 MiB [] 16% 0.2s2.3 MiB [] 32% 0.1s2.3 MiB [] 77% 0.0s2.3 MiB [] 100% 0.0s FFMPEG playwright build v1011 downloaded to /root/.cache/ms-playwright/ffmpeg-1011 Downloading Chromium Headless Shell 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-headless-shell-linux.zip 101.4 MiB [] 0% 0.0s101.4 MiB [] 0% 19.2s101.4 MiB [] 0% 18.2s101.4 MiB [] 0% 13.1s101.4 MiB [] 0% 7.8s101.4 MiB [] 1% 4.6s101.4 MiB [] 3% 2.7s101.4 MiB [] 5% 1.9s101.4 MiB [] 7% 1.5s101.4 MiB [] 9% 1.5s101.4 MiB [] 10% 1.5s101.4 MiB [] 11% 1.4s101.4 MiB [] 14% 1.2s101.4 MiB [] 16% 1.1s101.4 MiB [] 19% 1.0s101.4 MiB [] 22% 0.9s101.4 MiB [] 25% 0.8s101.4 MiB [] 28% 0.7s101.4 MiB [] 31% 0.6s101.4 MiB [] 35% 0.6s101.4 MiB [] 38% 0.5s101.4 MiB [] 41% 0.5s101.4 MiB [] 44% 0.5s101.4 MiB [] 45% 0.5s101.4 MiB [] 48% 0.4s101.4 MiB [] 53% 0.4s101.4 MiB [] 57% 0.3s101.4 MiB [] 60% 0.3s101.4 MiB [] 64% 0.3s101.4 MiB [] 67% 0.2s101.4 MiB [] 72% 0.2s101.4 MiB [] 76% 0.2s101.4 MiB [] 80% 0.1s101.4 MiB [] 83% 0.1s101.4 MiB [] 86% 0.1s101.4 MiB [] 89% 0.1s101.4 MiB [] 92% 0.0s101.4 MiB [] 95% 0.0s101.4 MiB [] 98% 0.0s101.4 MiB [] 100% 0.0s Chromium Headless Shell 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium_headless_shell-1169 ++ echo 'source .venv/bin/activate'
Internet turned off
In table display (table and samples), integer fields should never render with a decimal (e.g., 30 not 30.000)

I'll check the instructions by opening the AGENTS.md file in the repo's root.

shell
bash: .venv/bin/activate: No such file or directory root@ddb3a257a3e8:/workspace# ls scubaduck
root@ddb3a257a3e8:/workspace# cd scubaduck root@ddb3a257a3e8:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock
root@ddb3a257a3e8:/workspace/scubaduck# cat AGENTS.md - Use "source .venv/bin/activate" to activate the virtual environment before running any commands - ONLY use non-interactive commands like cat, sed, apply_patch to do edits. Do NOT use interactive editors. - Do NOT attempt to install packages. Only the packages specified in pyproject.toml are available. You cannot add new packages. If you desperately want another package, make a note of it in the final PR description. - Use conventional commits to format PR title - There are no nested AGENTS.md files, this is the only agents file - When using Playwright, ONLY use chromium browser. This browser is already installed. - Use "ruff check" to check lint, "ruff format" to autoformat files and "pyright" to typecheck. - When writing the PR description, include the original prompt supplied by the user. - When you add functionality to the server, add server tests to tests/test_server.py. When you add features to the frontend, add frontend tests to tests/test_web.py

The root AGENTS file says to use a virtual environment and run specific checks. I'll review the README to understand the project.

shell
root@ddb3a257a3e8:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock
root@ddb3a257a3e8:/workspace/scubaduck# cat README.md 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. * Limit - Help text: "Choose the maximum number of results to show in the chart after any aggregations have been applied. For example, a limit of 10 will show no more than 10 rows for a table, etc." * Filters - You can create as many filters as you want. You can either write a f ilter using a UI or manual SQL. In the UI, filter consists of a column name, a r elation (e.g., =, !=, <, >) and then a text field. The text field is a token inp ut. It accepts multiple tokens for = relation, in which case we match using an O R for all options. There is also a "Columns" tab which lets you view all fields in the table, organ ized by their type. You can also define derived columns, by specifying a column name and SQL expression. Derived columns can be used for all parts of the UI, in cluding filters/group by/etc. Columns have checkboxes indicating if we should SE LECT them or not. Each selected column shows up in the graph. There is an All/N one link which can be used to select/deselect all checkboxes. The query UI constructs a SQL query that intuitively has this form: ``` SELECT column, column, ..., FROM table WHERE time >= min-timestamp AND time <= max-timestamp [AND condition ...] ORDER BY aggregate(column) LIMIT number ``` You should write tests for the server backend, demonstrating that at specific qu ery values we get back the correct rows of data. ## Running the server Activate the virtual environment and run the Flask development server: ```bash flask --app scubaduck.server run --debug ``` By default the server loads `sample.csv`. Set the `SCUBADUCK_DB` environment variable to point at a different database file (CSV, SQLite or DuckDB) if you want to use another dataset. If the file does not exist, the server will raise a `FileNotFoundError` during startup.

The user wants to ensure integers are displayed without decimals, so I'll inspect the scubaduck directory.

shell
root@ddb3a257a3e8:/workspace/scubaduck# ls scubaduck __init__.py sample.csv server.py static
root@ddb3a257a3e8:/workspace/scubaduck# ls scubaduck/static index.html js
root@ddb3a257a3e8:/workspace/scubaduck# ls scubaduck/static/js chip_input.js timeseries_chart.js

I think the server might return JSON. I'll check server.py for clues.

shell
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '1,160p' scubaduck/server.py from __future__ import annotations from dataclasses import dataclass, field, replace from typing import Any, Dict, List, Tuple, cast import re from datetime import datetime, timedelta, timezone import time from pathlib import Path import os import traceback import math 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 x_axis: str | None = None granularity: str = "Auto" fill: str = "0" table: str = "events" time_column: str = "timestamp" time_unit: str = "s" def _load_database(path: Path) -> duckdb.DuckDBPyConnection: if not path.exists(): raise FileNotFoundError(path) 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() con.execute("LOAD sqlite") con.execute(f"ATTACH '{path.as_posix()}' AS db (TYPE SQLITE)") tables = [ r[0] for r in con.execute( "SELECT name FROM sqlite_master WHERE type='table'" ).fetchall() ] for t in tables: con.execute(f'CREATE VIEW "{t}" AS SELECT * FROM db."{t}"') 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 _granularity_seconds(granularity: str, start: str | None, end: str | None) - > int: gran = granularity.lower() mapping = { "1 second": 1, "5 seconds": 5, "10 seconds": 10, "30 seconds": 30, "1 minute": 60, "4 minutes": 240, "5 minutes": 300, "10 minutes": 600, "15 minutes": 900, "30 minutes": 1800, "1 hour": 3600, "3 hours": 10800, "6 hours": 21600, "1 day": 86400, "1 week": 604800, "30 days": 2592000, } if gran in mapping: return mapping[gran] if gran in {"auto", "fine"} and start and end: try: s = dtparser.parse(start) e = dtparser.parse(end) except Exception: return 3600 total = max((e - s).total_seconds(), 1) buckets = 100 if gran == "auto" else 500 return max(int(total // buckets), 1) return 3600 def _time_expr(col: str, column_types: Dict[str, str] | None, unit: str) -> str: """Return SQL expression for column interpreted as timestamp.""" if column_types is None: return col ctype = column_types.get(col, "").upper() if not any(t in ctype for t in ["TIMESTAMP", "DATE", "TIME"]): if any( t in ctype for t in [ "INT", "DECIMAL", "REAL", "DOUBLE", "FLOAT",
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '160,320p' scubaduck/server.py "FLOAT", "NUMERIC", "HUGEINT", ] ): if unit == "ns": expr = f"CAST({col} AS BIGINT)" return f"make_timestamp_ns({expr})" multiplier = { "s": 1_000_000, "ms": 1_000, "us": 1, }.get(unit, 1_000_000) expr = ( f"CAST({col} * {multiplier} AS BIGINT)" if multiplier != 1 else f"CAST({col} AS BIGINT)" ) return f"make_timestamp({expr})" return col def build_query(params: QueryParams, column_types: Dict[str, str] | None = None) -> str: select_parts: list[str] = [] group_cols = params.group_by[:] if params.graph_type == "timeseries": sec = _granularity_seconds(params.granularity, params.start, params.end) x_axis = params.x_axis or params.time_column xexpr = _time_expr(x_axis, column_types, params.time_unit) if params.start: bucket_expr = ( f"TIMESTAMP '{params.start}' + INTERVAL '{sec} second' * " f"CAST(floor((epoch({xexpr}) - epoch(TIMESTAMP '{params.start}') )/{sec}) AS BIGINT)" ) else: bucket_expr = ( f"TIMESTAMP 'epoch' + INTERVAL '{sec} second' * " f"CAST(floor(epoch({xexpr})/{sec}) AS BIGINT)" ) select_parts.append(f"{bucket_expr} AS bucket") group_cols = ["bucket"] + group_cols has_agg = bool(group_cols) or params.aggregate is not None if has_agg: select_cols = ( group_cols[1:] if params.graph_type == "timeseries" else group_cols ) select_parts.extend(select_cols) agg = (params.aggregate or "avg").lower() def agg_expr(col: str) -> str: expr = col ctype = column_types.get(col, "").upper() if column_types else "" if "BOOL" in ctype: expr = f"CAST({col} AS BIGINT)" if agg.startswith("p"): quant = float(agg[1:]) / 100 return f"quantile({expr}, {quant})" if agg == "count distinct": return f"count(DISTINCT {expr})" if agg == "avg" and column_types is not None: 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)" ) return f"{agg}({expr})" for col in params.columns: if col in group_cols: continue select_parts.append(f"{agg_expr(col)} AS {col}") if params.show_hits: select_parts.insert(len(group_cols), "count(*) AS Hits") else: select_parts.extend(params.columns) if has_agg and params.derived_columns: inner_params = replace( params, derived_columns={}, order_by=None, limit=None, ) inner_sql = build_query(inner_params, column_types) outer_select = ["t.*"] + [ f"{expr} AS {name}" for name, expr in params.derived_columns.items() ] indented_inner = "\n".join(" " + line for line in inner_sql.splitline s()) lines = [ f"SELECT {', '.join(outer_select)}", "FROM (", indented_inner, ") t", ] if params.order_by: lines.append(f"ORDER BY {params.order_by} {params.order_dir}") elif params.graph_type == "timeseries": lines.append("ORDER BY bucket") if params.limit is not None: lines.append(f"LIMIT {params.limit}") return "\n".join(lines) for name, expr in params.derived_columns.items(): select_parts.append(f"{expr} AS {name}") select_clause = ", ".join(select_parts) if select_parts else "*" lines = [f"SELECT {select_clause}", f'FROM "{params.table}"'] where_parts: list[str] = [] time_expr = _time_expr(params.time_column, column_types, params.time_unit) if params.start: where_parts.append(f"{time_expr} >= '{params.start}'") if params.end: where_parts.append(f"{time_expr} <= '{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": 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: lines.append("WHERE " + " AND ".join(where_parts)) if group_cols: lines.append("GROUP BY " + ", ".join(group_cols)) if params.order_by: lines.append(f"ORDER BY {params.order_by} {params.order_dir}") elif params.graph_type == "timeseries": lines.append("ORDER BY bucket") if params.limit is not None: lines.append(f"LIMIT {params.limit}") return "\n".join(lines) def create_app(db_file: str | Path | None = None) -> Flask: app = Flask(__name__, static_folder="static") if db_file is None: env_db = os.environ.get("SCUBADUCK_DB") if env_db: db_file = env_db db_path = Path(db_file or Path(__file__).with_name("sample.csv")).resolve() con = _load_database(db_path) tables = [r[0] for r in con.execute("SHOW TABLES").fetchall()]

Still paging through, need to capture the full range of changes.

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root@ddb3a257a3e8:/workspace/scubaduck# sed -n '320,640p' scubaduck/server.py tables = [r[0] for r in con.execute("SHOW TABLES").fetchall()] if not tables: raise ValueError("No tables found in database") default_table = tables[0] columns_cache: Dict[str, Dict[str, str]] = {} def get_columns(table: str) -> Dict[str, str]: if table not in columns_cache: rows = con.execute(f'PRAGMA table_info("{table}")').fetchall() if not rows: raise ValueError(f"Unknown table: {table}") columns_cache[table] = {r[1]: r[2] for r in rows} return columns_cache[table] sample_cache: Dict[Tuple[str, 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("/js/<path:filename>") def js(filename: str) -> Any: # pyright: ignore[reportUnusedFunction] assert app.static_folder is not None folder = Path(app.static_folder) / "js" return send_from_directory(folder, filename) @app.route("/api/tables") def tables_endpoint() -> Any: # pyright: ignore[reportUnusedFunction] return jsonify(tables) @app.route("/api/columns") def columns() -> Any: # pyright: ignore[reportUnusedFunction] table = request.args.get("table", default_table) rows = con.execute(f'PRAGMA table_info("{table}")').fetchall() return jsonify([{"name": r[1], "type": r[2]} for r in rows]) def _cache_get(key: Tuple[str, 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, 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] table = request.args.get("table", default_table) column = request.args.get("column") substr = request.args.get("q", "") column_types = get_columns(table) if not column or column not in column_types: return jsonify([]) ctype = column_types[column].upper() if "CHAR" not in ctype and "STRING" not in ctype and "VARCHAR" not in ct ype: return jsonify([]) key = (table, column, substr) cached = _cache_get(key) if cached is not None: return jsonify(cached) rows = con.execute( f"SELECT DISTINCT {column} FROM \"{table}\" WHERE CAST({column} AS V ARCHAR) ILIKE '%' || ? || '%' LIMIT 20", [substr], ).fetchall() 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), x_axis=payload.get("x_axis"), granularity=payload.get("granularity", "Auto"), fill=payload.get("fill", "0"), table=payload.get("table", default_table), time_column=payload.get("time_column", "timestamp"), time_unit=payload.get("time_unit", "s"), ) for f in payload.get("filters", []): params.filters.append(Filter(f["column"], f["op"], f.get("value"))) if params.table not in tables: return jsonify({"error": "Invalid table"}), 400 column_types = get_columns(params.table) if params.time_column not in column_types: return jsonify({"error": "Invalid time_column"}), 400 if params.time_unit not in {"s", "ms", "us", "ns"}: return jsonify({"error": "Invalid time_unit"}), 400 ... 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, ) if params.start is None or params.end is None: axis = params.x_axis or params.time_column row = cast( tuple[datetime | None, datetime | None], con.execute( f'SELECT min({axis}), max({axis}) FROM "{params.table}"' ).fetchall()[0], ) mn, mx = row divisor = { "s": 1, "ms": 1000, "us": 1_000_000, "ns": 1_000_000_000, }.get(params.time_unit, 1) if isinstance(mn, (int, float)): try: mn = datetime.fromtimestamp(int(mn) / divisor, tz=timezone.u tc) except Exception: return ( jsonify( { "error": ( f"Invalid time value {mn} for column {axis}" f" with time_unit {params.time_unit}" ) } ), 400, ) if isinstance(mx, (int, float)): try: mx = datetime.fromtimestamp(int(mx) / divisor, tz=timezone.u tc) except Exception: return ( jsonify( { "error": ( f"Invalid time value {mx} for column {axis}" f" with time_unit {params.time_unit}" ) } ), 400, ) if params.start is None and mn is not None: params.start = ( mn.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(mn, str) else mn ) if params.end is None and mx is not None: params.end = ( mx.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(mx, str) else mx ) bucket_size: int | None = None if params.graph_type == "timeseries": bucket_size = _granularity_seconds( params.granularity, params.start if isinstance(params.start, str) else None, params.end if isinstance(params.end, str) else None, ) if ( params.limit is not None and params.start is not None and params.end is not None ): try: start_dt = dtparser.parse(params.start) end_dt = dtparser.parse(params.end) buckets = math.ceil( (end_dt - start_dt).total_seconds() / bucket_size ) if buckets > 1: params.limit *= buckets except Exception: pass 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, ) result: Dict[str, Any] = {"sql": sql, "rows": rows} if params.start is not None: result["start"] = str(params.start) if params.end is not None: result["end"] = str(params.end) if bucket_size is not None: result["bucket_size"] = bucket_size return jsonify(result) return app app = create_app() if __name__ == "__main__": app.run(debug=True)

Scrolling 640 lines to ensure I see everything, then switching to analyze static JS.

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root@ddb3a257a3e8:/workspace/scubaduck# ls scubaduck/static/js chip_input.js timeseries_chart.js
root@ddb3a257a3e8:/workspace/scubaduck# cat scubaduck/static/js/chip_input.js | head 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'); filter.chips = []; filter.renderChips = renderChips; filter.addChip = addChip; let highlight = 0;

I'm thinking the timeseries_chart.js or index.html might be the right files.

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root@ddb3a257a3e8:/workspace/scubaduck# sed -n '1,160p' scubaduck/static/js/time series_chart.js let resizeObserver = null; let currentChart = null; function showTimeSeries(data) { function parseTs(s) { if (s.match(/GMT/) || s.endsWith('Z') || /\+\d{2}:?\d{2}$/.test(s)) { return new Date(s).getTime(); } return new Date(s + 'Z').getTime(); } const view = document.getElementById('view'); if (data.rows.length === 0) { view.innerHTML = '<p id="empty-message">Empty data provided to table</p>'; return; } const height = 600; view.innerHTML = '<div id="ts-container"><div id="legend"></div><div id="chart-wrapper"><svg id="chart" height="' + height + '"></svg></div></div>'; const svg = document.getElementById('chart'); const legend = document.getElementById('legend'); const crosshairLine = document.createElementNS('http://www.w3.org/2000/svg', ' line'); crosshairLine.id = 'crosshair_line'; crosshairLine.setAttribute('stroke', '#555'); crosshairLine.style.display = 'none'; const crosshairDots = document.createElementNS('http://www.w3.org/2000/svg', ' g'); crosshairDots.id = 'crosshair_dots'; crosshairDots.style.display = 'none'; const groups = groupBy.chips || []; const hasHits = document.getElementById('show_hits').checked ? 1 : 0; const fill = document.getElementById('fill').value; const bucketMs = (data.bucket_size || 3600) * 1000; const start = data.start ? parseTs(data.start) : null; const end = data.end ? parseTs(data.end) : null; const startIdx = 1 + groups.length + hasHits; const valueCols = selectedColumns.slice(groups.length + hasHits); const series = {}; data.rows.forEach(r => { const ts = parseTs(r[0]); const groupKey = groups.map((_, i) => r[1 + i]).join(':') || 'all'; valueCols.forEach((name, i) => { const val = Number(r[startIdx + i]); const key = groupKey === 'all' ? name : groupKey + ':' + name; if (!series[key]) series[key] = {}; series[key][ts] = val; }); }); const buckets = []; let minX = start !== null ? start : Infinity; let maxX = end !== null ? end : -Infinity; if (start !== null && end !== null) { for (let t = start; t <= end; t += bucketMs) { buckets.push(t); } } else { Object.keys(series).forEach(k => { const s = series[k]; Object.keys(s).forEach(t => { const n = Number(t); if (n < minX) minX = n; if (n > maxX) maxX = n; }); }); for (let t = minX; t <= maxX; t += bucketMs) { buckets.push(t); } } let minY = Infinity, maxY = -Infinity; Object.keys(series).forEach(key => { const vals = series[key]; buckets.forEach(b => { const v = vals[b]; const val = v === undefined && fill === '0' ? 0 : v; if (val === undefined) return; if (val < minY) minY = val; if (val > maxY) maxY = val; }); }); if (fill === '0') { if (minY > 0) minY = 0; if (maxY < 0) maxY = 0; } const colors = [ '#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2' ]; currentChart = { svg, legend, series, buckets, minX, maxX, minY, maxY, fill, colors, height, crosshairLine, crosshairDots, seriesEls: {}, bucketPixels: [], xScale: null, yScale: null, selected: null, frozen: false }; const intervals = [ {unit: 'second', step: 1, ms: 1000}, {unit: 'second', step: 2, ms: 2000}, {unit: 'second', step: 5, ms: 5000}, {unit: 'second', step: 10, ms: 10000}, {unit: 'second', step: 15, ms: 15000}, {unit: 'second', step: 30, ms: 30000}, {unit: 'minute', step: 1, ms: 60000}, {unit: 'minute', step: 2, ms: 120000}, {unit: 'minute', step: 5, ms: 300000}, {unit: 'minute', step: 10, ms: 600000}, {unit: 'minute', step: 15, ms: 900000}, {unit: 'minute', step: 30, ms: 1800000}, {unit: 'hour', step: 1, ms: 3600000}, {unit: 'hour', step: 2, ms: 7200000}, {unit: 'hour', step: 3, ms: 10800000}, {unit: 'hour', step: 4, ms: 14400000}, {unit: 'hour', step: 6, ms: 21600000}, {unit: 'hour', step: 12, ms: 43200000}, {unit: 'day', step: 1, ms: 86400000}, {unit: 'day', step: 2, ms: 172800000}, {unit: 'week', step: 1, ms: 604800000}, {unit: 'week', step: 2, ms: 1209600000}, {unit: 'month', step: 1}, {unit: 'month', step: 3}, {unit: 'month', step: 6}, {unit: 'year', step: 1}, {unit: 'year', step: 2}, {unit: 'year', step: 5}, {unit: 'year', step: 10} ]; function chooseInterval(start, end) { const span = end - start; function approxMs(i) { if (i.ms) return i.ms; if (i.unit === 'month') return i.step * 2629800000; if (i.unit === 'year') return i.step * 31557600000; return 1000; }

I think the timeseries chart looks important. Let's check index.html for relevant code.

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root@ddb3a257a3e8:/workspace/scubaduck# cat scubaduck/static/index.html | head <!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; }
root@ddb3a257a3e8:/workspace/scubaduck# grep -n "table" -n scubaduck/static/inde x.html 114: table { border-collapse: collapse; min-width: 100%; } 192: <div id="header">sample.csv - <select id="table"></select> <select id="gra ph_type"><option value="samples">Samples</option><option value="table">Table</op tion><option value="timeseries">Time Series</option></select></div> 254: <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> 349: <table id="results"></table> 374: table: parseInt(limitInput.value, 10), 379: table: [], 510: const showTable = newType === 'table'; 549:function loadColumns(table) { 550: return fetch('/api/columns?table=' + encodeURIComponent(table)).then(r => r.json()).then(cols => { 689: columnValues.table = []; 701:fetch('/api/tables').then(r => r.json()).then(tables => { 702: tables.forEach(t => { 706: document.getElementById('table').appendChild(o); 708: const table = parseSearch().table || tables[0]; 709: document.getElementById('table').value = table; 710: loadColumns(table).then(() => { 716: document.getElementById('table').addEventListener('change', () => { 717: loadColumns(document.getElementById('table').value).then(() => { 760: if (type === 'table' && isStringColumn(name)) return false; 763: if (type === 'table' || type === 'timeseries') { 1002: table: document.getElementById('table').value, 1014: table_columns: columnValues.table.slice(), 1034: if (graphTypeSel.value === 'table' || graphTypeSel.value === 'timeseries' ) { 1050: if (params.table) sp.set('table', params.table); 1059: if (params.table_columns && params.table_columns.length) sp.set('table_co lumns', params.table_columns.join(',')); 1064: if (params.graph_type === 'table' || params.graph_type === 'timeseries') { 1079: if (params.table) document.getElementById('table').value = params.table; 1111: if (params.table_columns) columnValues.table = params.table_columns; 1149: if (sp.has('table')) params.table = sp.get('table'); 1158: if (sp.has('table_columns')) params.table_columns = sp.get('table_columns ').split(',').filter(c => c); 1193: const table = document.getElementById('results'); 1194: table.innerHTML = ''; 1206: displayType === 'table' && 1224: table.appendChild(header); 1274: table.appendChild(tr); 1276: // ensure table does not overflow unless necessary 1278: if (table.scrollWidth <= view.clientWidth) { 1279: table.style.width = '100%'; 1318: '<p id="empty-message">Empty data provided to table</p><table id="r esults"></table>'; 1320: view.innerHTML = '<table id="results"></table>';

I'll check lines 1100–1300 in index.html for the table rendering code.

shell
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '1188,1290p' scubaduck/static/ind ex.html let originalRows = []; let sortState = {index: null, dir: null}; function renderTable(rows) { const table = document.getElementById('results'); table.innerHTML = ''; if (rows.length === 0) return; let hitsIndex = selectedColumns.indexOf('Hits'); let totalHits = 0; if (hitsIndex !== -1) { totalHits = rows.reduce((s, r) => s + Number(r[hitsIndex]), 0); } const header = document.createElement('tr'); selectedColumns.forEach((col, i) => { const th = document.createElement('th'); let label = col; if ( displayType === 'table' && col !== 'Hits' && !(groupBy.chips || []).includes(col) ) { const agg = document.getElementById('aggregate').value.toLowerCase(); label += ` (${agg})`; } th.textContent = label; th.dataset.index = i; th.addEventListener('click', handleSort); if (sortState.index === i) { th.classList.add('sorted'); th.textContent = label + (sortState.dir === 'desc' ? ' \u25BC' : ' \u25B2'); } if (!isStringColumn(col)) th.style.textAlign = 'right'; header.appendChild(th); }); table.appendChild(header); rows.forEach(row => { const tr = document.createElement('tr'); tr.addEventListener('click', () => { const wasSelected = tr.classList.contains('selected'); document .querySelectorAll('#results tr.selected') .forEach(el => el.classList.remove('selected')); if (!wasSelected) { tr.classList.add('selected'); } }); row.forEach((v, i) => { const col = selectedColumns[i]; const td = document.createElement('td'); if (isTimeColumn(col)) { let d; const t = (columnTypes[col] || '').toUpperCase(); if (t.includes('TIMESTAMP') || t.includes('DATE') || t.includes('TIME')) { d = new Date(v); } else { const unit = document.getElementById('time_unit').value; const factors = {s: 1000, ms: 1, us: 0.001, ns: 0.000001}; d = new Date(Number(v) * (factors[unit] || 1000)); } td.textContent = d.toLocaleString('en-US', { weekday: 'short', month: 'short', day: 'numeric', year: 'numeric', hour: 'numeric', minute: 'numeric', second: 'numeric', hour12: true, timeZoneName: 'short' }); } else { if (col === 'Hits') { const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0'; td.textContent = `${formatNumber(v)} (${pct}%)`; } else { td.textContent = isStringColumn(col) ? v : formatNumber(v); } } if (!isStringColumn(col) && !isTimeColumn(col)) { td.classList.add('numeric'); } td.style.textAlign = isStringColumn(col) ? 'left' : 'right'; tr.appendChild(td); }); table.appendChild(tr); }); // ensure table does not overflow unless necessary const view = document.getElementById('view'); if (table.scrollWidth <= view.clientWidth) { table.style.width = '100%'; } } function handleSort(e) { const idx = parseInt(e.target.dataset.index, 10); if (sortState.index !== idx) { sortState.index = idx; sortState.dir = 'asc'; } else if (sortState.dir === 'asc') { sortState.dir = 'desc'; } else if (sortState.dir === 'desc') {
ex.html } else if (sortState.dir === 'desc') { sortState.index = null; sortState.dir = null; } else { sortState.dir = 'asc'; } let rows = originalRows.slice(); if (sortState.index !== null) { rows.sort((a, b) => { const va = a[sortState.index]; const vb = b[sortState.index]; if (va === vb) return 0; if (sortState.dir === 'desc') return va < vb ? 1 : -1; return va > vb ? 1 : -1; }); } renderTable(rows); } function showResults(data) { window.lastResults = data; const view = document.getElementById('view'); if (graphTypeSel.value === 'timeseries') { showTimeSeries(data); } else { if (data.rows.length === 0) { view.innerHTML = '<p id="empty-message">Empty data provided to table</p><table id="result s"></table>'; } else { view.innerHTML = '<table id="results"></table>'; } originalRows = data.rows.slice(); sortState = {index: null, dir: null}; renderTable(originalRows); } const sqlEl = document.createElement('pre'); sqlEl.id = 'sql_query'; sqlEl.style.whiteSpace = 'pre-wrap'; sqlEl.style.marginTop = '10px'; sqlEl.textContent = data.sql; view.appendChild(sqlEl); document.getElementById('query_info').textContent = `Your query took about ${lastQueryTime} ms`; } function showError(err) { window.lastResults = err; const view = document.getElementById('view'); let msg = ''; if (typeof err === 'string') { msg = err; } else if (err) { msg = err.error || 'Error'; if (err.sql) { msg += '\nSQL: ' + err.sql; } if (err.traceback) { msg += '\n' + err.traceback; } } view.innerHTML = `<pre id="error-message">${msg}</pre>`; document.getElementById('query_info').textContent = ''; } function setSelectValue(selector, value) { const el = typeof selector === 'string' ? document.querySelector(selector) : s elector; if (el) { const select = el.tagName === 'SELECT' ? el : el.querySelector('select'); if (select) { select.value = value; select.dispatchEvent(new Event('change')); } } } </script> </body> </html>

I'm looking into the function formatNumber(v) that I noticed earlier. Let's see.

shell
root@ddb3a257a3e8:/workspace/scubaduck# grep -n "formatNumber" -n scubaduck/stat ic/index.html 800:function formatNumber(val) { 1263: td.textContent = `${formatNumber(v)} (${pct}%)`; 1265: td.textContent = isStringColumn(col) ? v : formatNumber(v);
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '780,810p' 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(); if (t.includes('TIMESTAMP') || t.includes('DATE') || t.includes('TIME')) retur n true; const sel = document.getElementById('time_column').value; const xsel = document.getElementById('x_axis').value; if (name === sel || name === xsel) return true; return false; } function formatNumber(val) { if (typeof val !== 'number') val = Number(val); if (Number.isNaN(val)) return ''; if (val === 0) return '0'; const abs = Math.abs(val); if (abs > 999.999) { const units = [ {n: 1e12, s: 'T'}, {n: 1e9, s: 'B'}, {n: 1e6, s: 'M'}, {n: 1e3, s: 'K'},
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '810,840p' scubaduck/static/index .html {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); } function addFilter() { const container = document.createElement('div'); container.className = 'filter'; container.innerHTML = ` <div class="filter-row"> <select class="f-col"></select> <select class="f-op"></select> <button type="button" class="remove" onclick="this.closest('.filter').remo ve()">✖</button> </div> <div class="chip-box"> <div class="chip-input"> <input class="f-val" type="text"> <button type="button" class="chip-copy">&#x2398;</button> </div> <div class="chip-dropdown"></div> </div> `; const colSel = container.querySelector('.f-col');

I see that formatNumber doesn't check for integer columns. I'll adjust this to avoid decimals for integer column types.

shell
static | head scubaduck/static/js/timeseries_chart.js:309: text.textContent = formatNumbe r(v); scubaduck/static/js/timeseries_chart.js:509: currentChart.seriesEls[key].va lueEl.textContent = formatNumber(v); scubaduck/static/index.html:800:function formatNumber(val) { scubaduck/static/index.html:1263: td.textContent = `${formatNumber(v)} (${pct}%)`; scubaduck/static/index.html:1265: td.textContent = isStringColumn(col) ? v : formatNumber(v);

I'll review timeseries_chart.js near lines 300 or 509 to check how formatNumber is used.

shell
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '300,320p' scubaduck/static/js/ti meseries_chart.js tick.setAttribute('y2', y); tick.setAttribute('stroke', '#000'); yAxis.appendChild(tick); const text = document.createElementNS('http://www.w3.org/2000/svg', 'text' ); text.setAttribute('x', xScale(minX) - 8); text.setAttribute('y', y + 3); text.setAttribute('text-anchor', 'end'); text.setAttribute('class', 'y-tick-label'); text.textContent = formatNumber(v); yAxis.appendChild(text); }); const seriesEls = {}; const agg = document.getElementById('aggregate').value.toLowerCase(); const groups = {}; Object.keys(series).forEach(key => { const vals = series[key]; const color = colors[colorIndex++ % colors.length]; let path = ''; let drawing = false; buckets.forEach(b => {
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '500,520p' scubaduck/static/js/ti meseries_chart.js const options = []; Object.keys(currentChart.series).forEach(key => { const vals = currentChart.series[key]; let v = vals[bucket]; if (v === undefined && currentChart.fill !== '0') { currentChart.seriesEls[key].valueEl.textContent = ''; return; } if (v === undefined) v = 0; currentChart.seriesEls[key].valueEl.textContent = formatNumber(v); const yPix = currentChart.yScale(v); const dot = document.createElementNS('http://www.w3.org/2000/svg', 'circle '); dot.setAttribute('cx', xPix); dot.setAttribute('cy', yPix); dot.setAttribute('r', '3'); dot.setAttribute('fill', currentChart.seriesEls[key].color); crosshairDots.appendChild(dot); options.push({ key, y: yPix }); }); if (options.length) { let best = options[0];

I'll adjust how numbers are displayed in tables, ensuring integer fields don't show decimals.

I'll update formatNumber to check for integer columns and adjust decimal formatting accordingly.

I'll update formatNumber to avoid decimals when dealing with integer-like values.

I'll adjust formatNumber to handle both column types and integer values correctly.

I'll adjust formatNumber to check the numeric value itself for integer formatting.

I'll adjust formatNumber to ensure integer values show without decimals in all cases.

shell
root@ddb3a257a3e8:/workspace/scubaduck# grep -n "function formatNumber" -n scuba duck/static/js/timeseries_chart.js

I’ll check the bottom of index.html to see how the timeseries_chart.js script is loaded.

shell
root@ddb3a257a3e8:/workspace/scubaduck# grep -n "timeseries_chart.js" -n scubadu ck/static/index.html 353:<script src="/js/timeseries_chart.js"></script>

I'll review around line 353 to find any script tags in the code.

shell
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '336,367p' scubaduck/static/index .html <a id="columns_all" href="#">All</a> <a id="columns_none" href="#">None</a> </div> <div id="column_groups"></div> <div id="derived_columns"> <h4>Derived Columns</h4> <div id="derived_list"></div> <button id="add_derived" type="button" onclick="addDerived()">Add Deri ved</button> </div> </div> </div> <div id="sidebar-resizer"></div> <div id="view"> <table id="results"></table> </div> </div> <script src="/js/chip_input.js"></script> <script src="/js/timeseries_chart.js"></script> <script> const allColumns = []; const baseColumns = []; const columnTypes = {}; const stringColumns = []; const baseStringColumns = []; const integerColumns = []; const baseIntegerColumns = []; const timeColumns = []; const baseTimeColumns = []; const timeColumnOptions = []; const baseTimeColumnOptions = []; const derivedColumns = []; let selectedColumns = [];

Timeseries_chart.js doesn't define formatNumber at the top. I'll search the rest of the file.

shell
root@ddb3a257a3e8:/workspace/scubaduck# grep -n "formatNumber" -n scubaduck/stat ic/js/timeseries_chart.js 309: text.textContent = formatNumber(v); 509: currentChart.seriesEls[key].valueEl.textContent = formatNumber(v);

I found formatNumber in index.html at line 788. I'll modify it to check Number.isInteger.

shell
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '800,840p' scubaduck/static/index .html 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); } function addFilter() { const container = document.createElement('div'); container.className = 'filter'; container.innerHTML = ` <div class="filter-row"> <select class="f-col"></select> <select class="f-op"></select> <button type="button" class="remove" onclick="this.closest('.filter').remo ve()">✖</button> </div> <div class="chip-box"> <div class="chip-input"> <input class="f-val" type="text"> <button type="button" class="chip-copy">&#x2398;</button> </div> <div class="chip-dropdown"></div> </div> `; const colSel = container.querySelector('.f-col');

I'll adjust the index.html file now.

shell
> *** Begin Patch > *** Update File: scubaduck/static/index.html > @@ > -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); > +function formatNumber(val) { > + if (typeof val !== 'number') val = Number(val); > + if (Number.isNaN(val)) return ''; > + if (Number.isInteger(val)) return val.toString(); > + if (val === 0) return '0'; > + const abs = Math.abs(val); > *** End Patch > PATCH Success. Updated the following files: M scubaduck/static/index.html

I'll take a look at the patch now.

shell
root@ddb3a257a3e8:/workspace/scubaduck# grep -n "formatNumber" -n -A2 -B2 scubad uck/static/index.html | sed -n '1,20p' 798-} 799- 800:function formatNumber(val) { 801- if (typeof val !== 'number') val = Number(val); 802- if (Number.isNaN(val)) return ''; -- 1262- if (col === 'Hits') { 1263- const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0'; 1264: td.textContent = `${formatNumber(v)} (${pct}%)`; 1265- } else { 1266: td.textContent = isStringColumn(col) ? v : formatNumber(v); 1267- } 1268- }

I'm looking around the function to verify the patch correctly.

shell
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '792,814p' scubaduck/static/index .html const t = (columnTypes[name] || '').toUpperCase(); if (t.includes('TIMESTAMP') || t.includes('DATE') || t.includes('TIME')) retur n true; const sel = document.getElementById('time_column').value; const xsel = document.getElementById('x_axis').value; if (name === sel || name === xsel) return true; return false; } function formatNumber(val) { if (typeof val !== 'number') val = Number(val); if (Number.isNaN(val)) return ''; if (Number.isInteger(val)) return val.toString(); 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) {
root@ddb3a257a3e8:/workspace/scubaduck# sed -n '814,840p' scubaduck/static/index .html if (abs >= u.n) { return (val / u.n).toFixed(2) + ' ' + u.s; } } } if (abs < 0.0005) return '0.000'; return val.toFixed(3); } function addFilter() { const container = document.createElement('div'); container.className = 'filter'; container.innerHTML = ` <div class="filter-row"> <select class="f-col"></select> <select class="f-op"></select> <button type="button" class="remove" onclick="this.closest('.filter').remo ve()">✖</button> </div> <div class="chip-box"> <div class="chip-input"> <input class="f-val" type="text"> <button type="button" class="chip-copy">&#x2398;</button> </div> <div class="chip-dropdown"></div> </div> `;

The patch compiles fine, but I added if (Number.isInteger(val)) return val.toString();. Next, I'll run ruff format, ruff check, and pyright.

shell
root@ddb3a257a3e8:/workspace/scubaduck# source .venv/bin/activate
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# ruff format scubaduck/static /index.html error: Failed to parse scubaduck/static/index.html:1:1: Expected a statement (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

I’ll run ruff on the repo root to check for any Python or JS files.

shell
6 files left unchanged
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# ruff check All checks passed!
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# pyright
0 errors, 0 warnings, 0 informations
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# pytest -q
bringing up nodes...





........................................................................ [ 72%]



.............F............. [100%] =================================== FAILURES =================================== ____________________ test_format_number_function[chromium] _____________________ [gw1] linux -- Python 3.12.3 /workspace/scubaduck/.venv/bin/python Traceback (most recent call last): File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/runner.p y", line 341, in from_call result: TResult | None = func() ^^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/runner.p y", line 242, in <lambda> lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_hooks.py ", line 512, in __call__ return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult ) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_manager. py", line 120, in _hookexec return self._inner_hookexec(hook_name, methods, kwargs, firstresult) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 167, in _multicall raise exception File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 139, in _multicall teardown.throw(exception) File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/threadex ception.py", line 92, in pytest_runtest_call yield from thread_exception_runtest_hook() File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/threadex ception.py", line 68, in thread_exception_runtest_hook yield File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 139, in _multicall teardown.throw(exception) File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/unraisab leexception.py", line 95, in pytest_runtest_call yield from unraisable_exception_runtest_hook() File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/unraisab leexception.py", line 70, in unraisable_exception_runtest_hook yield File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 139, in _multicall teardown.throw(exception) File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/logging. py", line 846, in pytest_runtest_call yield from self._runtest_for(item, "call") File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/logging. py", line 829, in _runtest_for yield File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 139, in _multicall teardown.throw(exception) File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/capture. py", line 898, in pytest_runtest_call return (yield) ^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 139, in _multicall teardown.throw(exception) File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/skipping .py", line 257, in pytest_runtest_call return (yield) ^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 121, in _multicall res = hook_impl.function(*args) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/runner.p y", line 174, in pytest_runtest_call item.runtest() File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/python.p y", line 1627, in runtest self.ihook.pytest_pyfunc_call(pyfuncitem=self) File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_hooks.py ", line 512, in __call__ return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult ) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_manager. py", line 120, in _hookexec return self._inner_hookexec(hook_name, methods, kwargs, firstresult) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 167, in _multicall raise exception File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers. py", line 121, in _multicall res = hook_impl.function(*args) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/python.p y", line 159, in pytest_pyfunc_call result = testfunction(**testargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/scubaduck/tests/test_web.py", line 1134, in test_format_numbe r_function assert vals == ["815.21 K", "999.999", "0.000", "0"] AssertionError: assert ['815210', '9... '0.000', '0'] == ['815.21 K', ... '0.000 ', '0'] At index 0 diff: '815210' != '815.21 K' Use -v to get more diff ------------------------------ Captured log call ------------------------------- INFO werkzeug:_internal.py:97 127.0.0.1 - - [22/May/2025 18:36:49] "GET / HT TP/1.1" 200 - INFO werkzeug:_internal.py:97 127.0.0.1 - - [22/May/2025 18:36:49] "GET /js/ chip_input.js HTTP/1.1" 200 - INFO werkzeug:_internal.py:97 127.0.0.1 - - [22/May/2025 18:36:49] "GET /js/ timeseries_chart.js HTTP/1.1" 200 - INFO werkzeug:_internal.py:97 127.0.0.1 - - [22/May/2025 18:36:49] "GET /api /tables HTTP/1.1" 200 - INFO werkzeug:_internal.py:97 127.0.0.1 - - [22/May/2025 18:36:49] "GET /api /columns?table=events HTTP/1.1" 200 - INFO werkzeug:_internal.py:97 127.0.0.1 - - [22/May/2025 18:36:49] "POST /ap i/query HTTP/1.1" 200 - =========================== short test summary info ============================ FAILED tests/test_web.py::test_format_number_function[chromium] - AssertionError : assert ['815210', '9... '0.000', '0'] == ['815.21 K', ... '... 1 failed, 98 passed in 15.21s (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

Tests are failing due to an old formatNumber output. I'll review tests/test_web.py.

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# sed -n '1120,1140p' tests/te st_web.py 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(0.0004 ), formatNumber(0)]" ) assert vals == ["815.21 K", "999.999", "0.000", "0"] def test_numeric_cell_nowrap(page: Any, server_url: str) -> None: run_query(page, server_url, limit=10) whitespace = page.evaluate( "getComputedStyle(document.querySelector('#results td:nth-child(3)')).wh iteSpace" (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

The test_format_number_function expects large numbers to show units like "815.21 K". Checking for integers broke this. I need to fix it, ensuring numbers larger than 999.999 show units without affecting smaller integers.

The original function scales large numbers with units but shows decimals for values >= 1000. I'll modify it to avoid decimals for integers less than 1000 while keeping the scaling format for large values.

The requirement is to avoid decimals for simple integers. I'll adjust the final return value after checking for large numbers.

shell
> *** Update File: scubaduck/static/index.html > @@ > -function formatNumber(val) { > - if (typeof val !== 'number') val = Number(val); > - if (Number.isNaN(val)) return ''; > - if (Number.isInteger(val)) return val.toString(); > - if (val === 0) return '0'; > +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); > *** End Patch > PATCH Success. Updated the following files: M scubaduck/static/index.html (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

I'll add a new check after the large and small numbers, patching at the bottom.

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# grep -n "val.toFixed(3)" -n scubaduck/static/index.html 819: return val.toFixed(3);
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# sed -n '812,822p' scubaduck/ static/index.html 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); } (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

I'll include a check for the integer at the end.

shell
> *** Begin Patch > *** Update File: scubaduck/static/index.html > @@ > if (abs > 999.999) { > const units = [ > {n: 1e12, s: 'T'}, > {n: 1e9, s: 'B'}, > {n: 1e6, s: 'M'}, > {n: 1e3, s: 'K'}, > ]; > for (const u of units) { > if (abs >= u.n) { > return (val / u.n).toFixed(2) + ' ' + u.s; > } > } > } > if (abs < 0.0005) return '0.000'; > + if (Number.isInteger(val)) return val.toString(); > return val.toFixed(3); > } > *** End Patch > PATCH Success. Updated the following files: M scubaduck/static/index.html
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# ruff format 6 files left unchanged
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# ruff check All checks passed!
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# pyright
0 errors, 0 warnings, 0 informations
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# pytest -q
bringing up nodes...



........................................................................ [ 72%]


........................... [100%] 99 passed in 14.64s (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

All tests passed successfully. Time to commit the changes now!

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# git status --short M scubaduck/static/index.html
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# git add scubaduck/static/ind ex.html
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# git commit -m "fix(ui): avoi d decimals for integer values" && git status --short [work c651c7c] fix(ui): avoid decimals for integer values 1 file changed, 1 insertion(+) (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

Looks like the commit message was cut off—let's review the details before proceeding.

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# git status --short (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

It looks like the commit message might not display as expected. Let's run git show.

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# git log -1 --stat commit c651c7c2275d1f6e07983a03a1f4eb825434f13d (HEAD -> work) Author: Codex <codex@openai.com> Date: Thu May 22 18:37:37 2025 +0000 fix(ui): avoid decimals for integer values scubaduck/static/index.html | 1 + 1 file changed, 1 insertion(+) (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

Looks like I might've forgotten to stage some changes after the patch. Let's check the diff.

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# git show --stat commit c651c7c2275d1f6e07983a03a1f4eb825434f13d (HEAD -> work) Author: Codex <codex@openai.com> Date: Thu May 22 18:37:37 2025 +0000 fix(ui): avoid decimals for integer values scubaduck/static/index.html | 1 + 1 file changed, 1 insertion(+) (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

I expected two changes, but it seems only an insertion was recorded. I'll review the diff.

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# git show --color=always | he ad -n 20 commit c651c7c2275d1f6e07983a03a1f4eb825434f13d Author: Codex <codex@openai.com> Date: Thu May 22 18:37:37 2025 +0000 fix(ui): avoid decimals for integer values diff --git a/scubaduck/static/index.html b/scubaduck/static/index.html index c728d7c..3ddd8fb 100644 --- a/scubaduck/static/index.html +++ b/scubaduck/static/index.html @@ -816,6 +816,7 @@ function formatNumber(val) { } } if (abs < 0.0005) return '0.000'; + if (Number.isInteger(val)) return val.toString(); return val.toFixed(3); } (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

I added the patch after the 'abs < 0.0005' check and updated the PR message.

shell
(scubaduck) root@ddb3a257a3e8:/workspace/scubaduck# nl -ba scubaduck/static/inde x.html | sed -n '806,822p' 806 const units = [ 807 {n: 1e12, s: 'T'}, 808 {n: 1e9, s: 'B'}, 809 {n: 1e6, s: 'M'}, 810 {n: 1e3, s: 'K'}, 811 ]; 812 for (const u of units) { 813 if (abs >= u.n) { 814 return (val / u.n).toFixed(2) + ' ' + u.s; 815 } 816 } 817 } 818 if (abs < 0.0005) return '0.000'; 819 if (Number.isInteger(val)) return val.toString(); 820 return val.toFixed(3); 821 } 822 (scubaduck) root@ddb3a257a3e8:/workspace/scubaduck#

I'll include line 819 showing the new check and reference the function update in the PR.