Codex Task Logs

Task ID: task_e_682f28faada48323a3b9afb316644725

Environment setup
jinja2 ------------------------------ 78.12 KiB/131.74 KiB charset-normalizer ------------------------------ 127.12 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 76.66 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 46.88 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 140.74 KiB/11.02 MiB duckdb ------------------------------ 157.61 KiB/19.27 MiB playwright ------------------------------ 8.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pluggy ------------------------------ 20.06 KiB/20.06 KiB execnet ------------------------------ 32.00 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB requests ------------------------------ 32.00 KiB/63.41 KiB packaging ------------------------------ 46.88 KiB/64.91 KiB idna ------------------------------ 68.79 KiB/68.79 KiB click ------------------------------ 80.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 61.43 KiB/125.66 KiB jinja2 ------------------------------ 78.12 KiB/131.74 KiB charset-normalizer ------------------------------ 127.12 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 76.66 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 140.74 KiB/11.02 MiB duckdb ------------------------------ 157.61 KiB/19.27 MiB playwright ------------------------------ 8.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pluggy ------------------------------ 20.06 KiB/20.06 KiB execnet ------------------------------ 32.00 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 46.88 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 77.43 KiB/125.66 KiB jinja2 ------------------------------ 78.12 KiB/131.74 KiB charset-normalizer ------------------------------ 127.12 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 76.66 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 172.74 KiB/11.02 MiB duckdb ------------------------------ 189.61 KiB/19.27 MiB playwright ------------------------------ 8.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 32.00 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 46.88 KiB/64.91 KiB click ------------------------------ 80.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 77.43 KiB/125.66 KiB jinja2 ------------------------------ 94.12 KiB/131.74 KiB charset-normalizer ------------------------------ 127.12 KiB/145.08 KiB certifi ------------------------------ 155.88 KiB/155.88 KiB werkzeug ------------------------------ 92.66 KiB/219.24 KiB python-dateutil ------------------------------ 46.86 KiB/224.50 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 48.00 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 172.74 KiB/11.02 MiB duckdb ------------------------------ 189.61 KiB/19.27 MiB playwright ------------------------------ 8.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 32.00 KiB/39.66 KiB pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB requests ------------------------------ 48.00 KiB/63.41 KiB packaging ------------------------------ 62.88 KiB/64.91 KiB click ------------------------------ 96.00 KiB/99.76 KiB flask ------------------------------ 64.00 KiB/100.88 KiB urllib3 ------------------------------ 77.43 KiB/125.66 KiB jinja2 ------------------------------ 94.12 KiB/131.74 KiB charset-normalizer ------------------------------ 127.12 KiB/145.08 KiB werkzeug ------------------------------ 92.66 KiB/219.24 KiB python-dateutil ------------------------------ 62.86 KiB/224.50 KiB pytest ------------------------------ 62.88 KiB/335.58 KiB greenlet ------------------------------ 61.44 KiB/589.71 KiB pyright ------------------------------ 16.00 KiB/5.31 MiB ruff ------------------------------ 188.74 KiB/11.02 MiB duckdb ------------------------------ 205.61 KiB/19.27 MiB playwright ------------------------------ 16.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) execnet ------------------------------ 39.66 KiB/39.66 KiB pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 62.88 KiB/64.91 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 93.43 KiB/125.66 KiB jinja2 ------------------------------ 126.12 KiB/131.74 KiB charset-normalizer ------------------------------ 143.12 KiB/145.08 KiB werkzeug ------------------------------ 92.66 KiB/219.24 KiB python-dateutil ------------------------------ 157.04 KiB/224.50 KiB pytest ------------------------------ 110.50 KiB/335.58 KiB greenlet ------------------------------ 189.44 KiB/589.71 KiB pyright ------------------------------ 80.00 KiB/5.31 MiB ruff ------------------------------ 348.74 KiB/11.02 MiB duckdb ------------------------------ 381.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB packaging ------------------------------ 64.91 KiB/64.91 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 93.43 KiB/125.66 KiB jinja2 ------------------------------ 126.12 KiB/131.74 KiB charset-normalizer ------------------------------ 143.12 KiB/145.08 KiB werkzeug ------------------------------ 108.66 KiB/219.24 KiB python-dateutil ------------------------------ 221.04 KiB/224.50 KiB pytest ------------------------------ 110.50 KiB/335.58 KiB greenlet ------------------------------ 269.44 KiB/589.71 KiB pyright ------------------------------ 157.94 KiB/5.31 MiB ruff ------------------------------ 428.74 KiB/11.02 MiB duckdb ------------------------------ 429.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 93.43 KiB/125.66 KiB jinja2 ------------------------------ 126.12 KiB/131.74 KiB charset-normalizer ------------------------------ 143.12 KiB/145.08 KiB werkzeug ------------------------------ 108.66 KiB/219.24 KiB python-dateutil ------------------------------ 221.04 KiB/224.50 KiB pytest ------------------------------ 126.50 KiB/335.58 KiB greenlet ------------------------------ 285.44 KiB/589.71 KiB pyright ------------------------------ 173.94 KiB/5.31 MiB ruff ------------------------------ 444.74 KiB/11.02 MiB duckdb ------------------------------ 445.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB requests ------------------------------ 63.41 KiB/63.41 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 93.43 KiB/125.66 KiB jinja2 ------------------------------ 126.12 KiB/131.74 KiB charset-normalizer ------------------------------ 143.12 KiB/145.08 KiB werkzeug ------------------------------ 108.66 KiB/219.24 KiB python-dateutil ------------------------------ 221.04 KiB/224.50 KiB pytest ------------------------------ 126.50 KiB/335.58 KiB greenlet ------------------------------ 285.44 KiB/589.71 KiB pyright ------------------------------ 173.94 KiB/5.31 MiB ruff ------------------------------ 444.74 KiB/11.02 MiB duckdb ------------------------------ 461.61 KiB/19.27 MiB playwright ------------------------------ 32.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB flask ------------------------------ 80.00 KiB/100.88 KiB urllib3 ------------------------------ 93.43 KiB/125.66 KiB jinja2 ------------------------------ 126.12 KiB/131.74 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB werkzeug ------------------------------ 108.66 KiB/219.24 KiB python-dateutil ------------------------------ 221.04 KiB/224.50 KiB pytest ------------------------------ 126.50 KiB/335.58 KiB greenlet ------------------------------ 301.44 KiB/589.71 KiB pyright ------------------------------ 189.94 KiB/5.31 MiB ruff ------------------------------ 460.74 KiB/11.02 MiB duckdb ------------------------------ 477.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) flask ------------------------------ 96.00 KiB/100.88 KiB urllib3 ------------------------------ 93.43 KiB/125.66 KiB jinja2 ------------------------------ 126.12 KiB/131.74 KiB charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB werkzeug ------------------------------ 124.66 KiB/219.24 KiB python-dateutil ------------------------------ 221.04 KiB/224.50 KiB pytest ------------------------------ 126.50 KiB/335.58 KiB greenlet ------------------------------ 317.44 KiB/589.71 KiB pyright ------------------------------ 205.94 KiB/5.31 MiB ruff ------------------------------ 476.74 KiB/11.02 MiB duckdb ------------------------------ 493.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) flask ------------------------------ 96.00 KiB/100.88 KiB urllib3 ------------------------------ 93.43 KiB/125.66 KiB jinja2 ------------------------------ 126.12 KiB/131.74 KiB werkzeug ------------------------------ 124.66 KiB/219.24 KiB python-dateutil ------------------------------ 224.50 KiB/224.50 KiB pytest ------------------------------ 142.50 KiB/335.58 KiB greenlet ------------------------------ 349.44 KiB/589.71 KiB pyright ------------------------------ 237.94 KiB/5.31 MiB ruff ------------------------------ 508.74 KiB/11.02 MiB duckdb ------------------------------ 525.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 109.43 KiB/125.66 KiB werkzeug ------------------------------ 140.66 KiB/219.24 KiB python-dateutil ------------------------------ 224.50 KiB/224.50 KiB pytest ------------------------------ 174.50 KiB/335.58 KiB greenlet ------------------------------ 461.44 KiB/589.71 KiB pyright ------------------------------ 349.94 KiB/5.31 MiB ruff ------------------------------ 620.74 KiB/11.02 MiB duckdb ------------------------------ 637.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) flask ------------------------------ 100.88 KiB/100.88 KiB urllib3 ------------------------------ 109.43 KiB/125.66 KiB werkzeug ------------------------------ 140.66 KiB/219.24 KiB pytest ------------------------------ 174.50 KiB/335.58 KiB greenlet ------------------------------ 461.44 KiB/589.71 KiB pyright ------------------------------ 349.94 KiB/5.31 MiB ruff ------------------------------ 620.74 KiB/11.02 MiB duckdb ------------------------------ 637.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) urllib3 ------------------------------ 109.43 KiB/125.66 KiB werkzeug ------------------------------ 140.66 KiB/219.24 KiB pytest ------------------------------ 190.50 KiB/335.58 KiB greenlet ------------------------------ 461.44 KiB/589.71 KiB pyright ------------------------------ 397.94 KiB/5.31 MiB ruff ------------------------------ 668.74 KiB/11.02 MiB duckdb ------------------------------ 685.61 KiB/19.27 MiB playwright ------------------------------ 48.00 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) urllib3 ------------------------------ 125.66 KiB/125.66 KiB werkzeug ------------------------------ 140.66 KiB/219.24 KiB pytest ------------------------------ 190.50 KiB/335.58 KiB greenlet ------------------------------ 461.44 KiB/589.71 KiB pyright ------------------------------ 557.94 KiB/5.31 MiB ruff ------------------------------ 812.74 KiB/11.02 MiB duckdb ------------------------------ 845.61 KiB/19.27 MiB playwright ------------------------------ 62.66 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) werkzeug ------------------------------ 156.66 KiB/219.24 KiB pytest ------------------------------ 222.50 KiB/335.58 KiB greenlet ------------------------------ 477.44 KiB/589.71 KiB pyright ------------------------------ 685.94 KiB/5.31 MiB ruff ------------------------------ 956.74 KiB/11.02 MiB duckdb ------------------------------ 973.61 KiB/19.27 MiB playwright ------------------------------ 78.66 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) werkzeug ------------------------------ 204.66 KiB/219.24 KiB pytest ------------------------------ 254.50 KiB/335.58 KiB greenlet ------------------------------ 493.44 KiB/589.71 KiB pyright ------------------------------ 1.06 MiB/5.31 MiB ruff ------------------------------ 1.34 MiB/11.02 MiB duckdb ------------------------------ 1.37 MiB/19.27 MiB playwright ------------------------------ 110.66 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest ------------------------------ 286.50 KiB/335.58 KiB greenlet ------------------------------ 493.44 KiB/589.71 KiB pyright ------------------------------ 1.27 MiB/5.31 MiB ruff ------------------------------ 1.55 MiB/11.02 MiB duckdb ------------------------------ 1.57 MiB/19.27 MiB playwright ------------------------------ 110.66 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠹ Preparing packages... (7/33) pytest ------------------------------ 335.58 KiB/335.58 KiB greenlet ------------------------------ 509.44 KiB/589.71 KiB pyright ------------------------------ 1.42 MiB/5.31 MiB ruff ------------------------------ 1.84 MiB/11.02 MiB duckdb ------------------------------ 1.85 MiB/19.27 MiB playwright ------------------------------ 302.66 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) greenlet ------------------------------ 541.44 KiB/589.71 KiB pyright ------------------------------ 1.67 MiB/5.31 MiB ruff ------------------------------ 2.12 MiB/11.02 MiB duckdb ------------------------------ 2.16 MiB/19.27 MiB playwright ------------------------------ 606.66 KiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) greenlet ------------------------------ 573.44 KiB/589.71 KiB pyright ------------------------------ 1.78 MiB/5.31 MiB ruff ------------------------------ 2.53 MiB/11.02 MiB duckdb ------------------------------ 2.56 MiB/19.27 MiB playwright ------------------------------ 1.02 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.80 MiB/5.31 MiB ruff ------------------------------ 2.98 MiB/11.02 MiB duckdb ------------------------------ 3.01 MiB/19.27 MiB playwright ------------------------------ 1.44 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.81 MiB/5.31 MiB ruff ------------------------------ 3.22 MiB/11.02 MiB duckdb ------------------------------ 3.23 MiB/19.27 MiB playwright ------------------------------ 1.66 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.84 MiB/5.31 MiB ruff ------------------------------ 3.80 MiB/11.02 MiB duckdb ------------------------------ 3.81 MiB/19.27 MiB playwright ------------------------------ 2.23 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠸ Preparing packages... (26/33) pyright ------------------------------ 1.89 MiB/5.31 MiB ruff ------------------------------ 4.52 MiB/11.02 MiB duckdb ------------------------------ 4.51 MiB/19.27 MiB playwright ------------------------------ 2.92 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.92 MiB/5.31 MiB ruff ------------------------------ 5.23 MiB/11.02 MiB duckdb ------------------------------ 5.25 MiB/19.27 MiB playwright ------------------------------ 3.65 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.95 MiB/5.31 MiB ruff ------------------------------ 6.01 MiB/11.02 MiB duckdb ------------------------------ 6.01 MiB/19.27 MiB playwright ------------------------------ 4.42 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 1.98 MiB/5.31 MiB ruff ------------------------------ 6.75 MiB/11.02 MiB duckdb ------------------------------ 6.76 MiB/19.27 MiB playwright ------------------------------ 5.17 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠼ Preparing packages... (28/33) pyright ------------------------------ 2.03 MiB/5.31 MiB ruff ------------------------------ 7.53 MiB/11.02 MiB duckdb ------------------------------ 7.53 MiB/19.27 MiB playwright ------------------------------ 5.93 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.06 MiB/5.31 MiB ruff ------------------------------ 8.23 MiB/11.02 MiB duckdb ------------------------------ 8.25 MiB/19.27 MiB playwright ------------------------------ 6.64 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.09 MiB/5.31 MiB ruff ------------------------------ 8.89 MiB/11.02 MiB duckdb ------------------------------ 8.89 MiB/19.27 MiB playwright ------------------------------ 7.28 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.12 MiB/5.31 MiB ruff ------------------------------ 9.62 MiB/11.02 MiB duckdb ------------------------------ 9.64 MiB/19.27 MiB playwright ------------------------------ 8.03 MiB/43.05 MiB Building scubaduck @ file:///workspace/scubaduck ⠴ Preparing packages... (28/33) pyright ------------------------------ 2.12 MiB/5.31 MiB ruff ------------------------------ 10.15 MiB/11.02 MiB duckdb ------------------------------ 10.16 MiB/19.27 MiB playwright ------------------------------ 8.58 MiB/43.05 MiB Built scubaduck @ file:///workspace/scubaduck ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.12 MiB/5.31 MiB ruff ------------------------------ 10.17 MiB/11.02 MiB duckdb ------------------------------ 10.17 MiB/19.27 MiB playwright ------------------------------ 8.58 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.14 MiB/5.31 MiB ruff ------------------------------ 10.87 MiB/11.02 MiB duckdb ------------------------------ 10.88 MiB/19.27 MiB playwright ------------------------------ 9.28 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.14 MiB/5.31 MiB duckdb ------------------------------ 11.10 MiB/19.27 MiB playwright ------------------------------ 9.51 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.17 MiB/5.31 MiB duckdb ------------------------------ 12.01 MiB/19.27 MiB playwright ------------------------------ 10.39 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.18 MiB/5.31 MiB duckdb ------------------------------ 13.20 MiB/19.27 MiB playwright ------------------------------ 11.59 MiB/43.05 MiB ⠦ Preparing packages... (28/33) pyright ------------------------------ 2.18 MiB/5.31 MiB duckdb ------------------------------ 14.36 MiB/19.27 MiB playwright ------------------------------ 12.75 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.20 MiB/5.31 MiB duckdb ------------------------------ 15.61 MiB/19.27 MiB playwright ------------------------------ 14.00 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.23 MiB/5.31 MiB duckdb ------------------------------ 16.71 MiB/19.27 MiB playwright ------------------------------ 15.11 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.25 MiB/5.31 MiB duckdb ------------------------------ 17.93 MiB/19.27 MiB playwright ------------------------------ 16.37 MiB/43.05 MiB ⠧ Preparing packages... (30/33) pyright ------------------------------ 2.26 MiB/5.31 MiB duckdb ------------------------------ 19.05 MiB/19.27 MiB playwright ------------------------------ 17.50 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.31 MiB/5.31 MiB duckdb ------------------------------ 19.27 MiB/19.27 MiB playwright ------------------------------ 19.36 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.31 MiB/5.31 MiB playwright ------------------------------ 19.36 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.37 MiB/5.31 MiB playwright ------------------------------ 21.37 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.40 MiB/5.31 MiB playwright ------------------------------ 23.62 MiB/43.05 MiB ⠇ Preparing packages... (30/33) pyright ------------------------------ 2.43 MiB/5.31 MiB playwright ------------------------------ 25.92 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.45 MiB/5.31 MiB playwright ------------------------------ 28.44 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.48 MiB/5.31 MiB playwright ------------------------------ 31.19 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.51 MiB/5.31 MiB playwright ------------------------------ 33.65 MiB/43.05 MiB ⠋ Preparing packages... (31/33) pyright ------------------------------ 2.54 MiB/5.31 MiB playwright ------------------------------ 36.06 MiB/43.05 MiB ⠙ Preparing packages... (31/33) pyright ------------------------------ 2.58 MiB/5.31 MiB playwright ------------------------------ 38.20 MiB/43.05 MiB ⠙ Preparing packages... (31/33) pyright ------------------------------ 2.61 MiB/5.31 MiB playwright ------------------------------ 39.90 MiB/43.05 MiB ⠙ Preparing packages... (31/33) pyright ------------------------------ 2.67 MiB/5.31 MiB playwright ------------------------------ 41.03 MiB/43.05 MiB ⠙ Preparing packages... (31/33) pyright ------------------------------ 2.75 MiB/5.31 MiB playwright ------------------------------ 41.50 MiB/43.05 MiB ⠹ Preparing packages... (31/33) pyright ------------------------------ 2.78 MiB/5.31 MiB playwright ------------------------------ 42.26 MiB/43.05 MiB ⠹ Preparing packages... (31/33) pyright ------------------------------ 2.79 MiB/5.31 MiB ⠹ Preparing packages... (31/33) pyright ------------------------------ 2.84 MiB/5.31 MiB ⠹ Preparing packages... (31/33) pyright ------------------------------ 3.00 MiB/5.31 MiB ⠹ Preparing packages... (31/33) pyright ------------------------------ 3.14 MiB/5.31 MiB ⠸ Preparing packages... (32/33) pyright ------------------------------ 3.25 MiB/5.31 MiB ⠸ Preparing packages... (32/33) pyright ------------------------------ 3.34 MiB/5.31 MiB ⠸ Preparing packages... (32/33) pyright ------------------------------ 3.51 MiB/5.31 MiB ⠸ Preparing packages... (32/33) pyright ------------------------------ 3.66 MiB/5.31 MiB ⠼ Preparing packages... (32/33) pyright ------------------------------ 3.80 MiB/5.31 MiB ⠼ Preparing packages... (32/33) pyright ------------------------------ 4.03 MiB/5.31 MiB ⠼ Preparing packages... (32/33) pyright ------------------------------ 4.25 MiB/5.31 MiB ⠴ Preparing packages... (32/33) pyright ------------------------------ 4.41 MiB/5.31 MiB ⠴ Preparing packages... (32/33) pyright ------------------------------ 4.52 MiB/5.31 MiB ⠴ Preparing packages... (32/33) pyright ------------------------------ 4.59 MiB/5.31 MiB ⠴ Preparing packages... (32/33) Prepared 33 packages in 2.71s ░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] Installing wheels... ░░░░░░░░░░░░░░░░░░░░ [0/33] six==1.17.0 ░░░░░░░░░░░░░░░░░░░░ [1/33] six==1.17.0 ░░░░░░░░░░░░░░░░░░░░ [1/33] iniconfig==2.1.0 █░░░░░░░░░░░░░░░░░░░ [2/33] iniconfig==2.1.0 █░░░░░░░░░░░░░░░░░░░ [2/33] execnet==2.1.1 █░░░░░░░░░░░░░░░░░░░ [3/33] execnet==2.1.1 █░░░░░░░░░░░░░░░░░░░ [3/33] python-slugify==8.0.4 ██░░░░░░░░░░░░░░░░░░ [4/33] python-slugify==8.0.4 ██░░░░░░░░░░░░░░░░░░ [4/33] pytest-base-url==2.1.0 ███░░░░░░░░░░░░░░░░░ [5/33] pytest-base-url==2.1.0 ███░░░░░░░░░░░░░░░░░ [5/33] nodeenv==1.9.1 ███░░░░░░░░░░░░░░░░░ [6/33] nodeenv==1.9.1 ███░░░░░░░░░░░░░░░░░ [6/33] typing-extensions==4.13.2 ████░░░░░░░░░░░░░░░░ [7/33] typing-extensions==4.13.2 ████░░░░░░░░░░░░░░░░ [7/33] itsdangerous==2.2.0 ████░░░░░░░░░░░░░░░░ [8/33] itsdangerous==2.2.0 ████░░░░░░░░░░░░░░░░ [8/33] blinker==1.9.0 █████░░░░░░░░░░░░░░░ [9/33] blinker==1.9.0 ███████████████████░ [32/33] pyright==1.1.400 ████████████████████ [33/33] pyright==1.1.400 Installed 33 packages in 112ms + blinker==1.9.0 + certifi==2025.4.26 + charset-normalizer==3.4.2 + click==8.2.0 + duckdb==1.2.2 + execnet==2.1.1 + flask==3.1.1 + greenlet==3.2.2 + idna==3.10 + iniconfig==2.1.0 + itsdangerous==2.2.0 + jinja2==3.1.6 + markupsafe==3.0.2 + nodeenv==1.9.1 + packaging==25.0 + playwright==1.52.0 + pluggy==1.6.0 + pyee==13.0.0 + pyright==1.1.400 + pytest==8.3.5 + pytest-base-url==2.1.0 + pytest-playwright==0.7.0 + pytest-xdist==3.6.1 + python-dateutil==2.9.0.post0 + python-slugify==8.0.4 + requests==2.32.3 + ruff==0.11.10 + scubaduck==0.1.0 (from file:///workspace/scubaduck) + six==1.17.0 + text-unidecode==1.3 + typing-extensions==4.13.2 + urllib3==2.4.0 + werkzeug==3.1.3 ++ source .venv/bin/activate +++ '[' -z '' ']' +++ '[' -n x ']' +++ SCRIPT_PATH=.venv/bin/activate +++ '[' .venv/bin/activate = /tmp/RqZASq-setup_script.sh ']' +++ deactivate nondestructive +++ unset -f pydoc +++ '[' -z '' ']' +++ '[' -z '' ']' +++ hash -r +++ '[' -z '' ']' +++ unset VIRTUAL_ENV +++ unset VIRTUAL_ENV_PROMPT +++ '[' '!' nondestructive = nondestructive ']' +++ VIRTUAL_ENV=/workspace/scubaduck/.venv +++ '[' linux-gnu = cygwin ']' +++ '[' linux-gnu = msys ']' +++ export VIRTUAL_ENV +++ '[' -z '' ']' +++ unset SCRIPT_PATH +++ _OLD_VIRTUAL_PATH=/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.15.1/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ PATH=/workspace/scubaduck/.venv/bin:/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.15.1/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ export PATH +++ '[' xscubaduck '!=' x ']' +++ VIRTUAL_ENV_PROMPT='(scubaduck) ' +++ export VIRTUAL_ENV_PROMPT +++ '[' -z '' ']' +++ '[' -z '' ']' +++ _OLD_VIRTUAL_PS1= +++ PS1='(scubaduck) ' +++ export PS1 +++ alias pydoc +++ true +++ hash -r ++ playwright install chromium Downloading Chromium 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-linux.zip 167.7 MiB [] 0% 0.0s167.7 MiB [] 0% 21.1s167.7 MiB [] 0% 14.8s167.7 MiB [] 0% 10.0s167.7 MiB [] 0% 7.5s167.7 MiB [] 1% 5.5s167.7 MiB [] 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https://cdn.playwright.dev/dbazure/download/playwright/builds/ffmpeg/1011/ffmpeg-linux.zip 2.3 MiB [] 0% 0.0s2.3 MiB [] 5% 0.3s2.3 MiB [] 20% 0.1s2.3 MiB [] 44% 0.1s2.3 MiB [] 82% 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% 13.6s101.4 MiB [] 0% 10.9s101.4 MiB [] 0% 8.3s101.4 MiB [] 1% 6.7s101.4 MiB [] 2% 3.2s101.4 MiB [] 3% 2.9s101.4 MiB [] 4% 2.3s101.4 MiB [] 6% 1.9s101.4 MiB [] 8% 1.7s101.4 MiB [] 9% 1.5s101.4 MiB [] 11% 1.4s101.4 MiB [] 12% 1.4s101.4 MiB [] 14% 1.2s101.4 MiB [] 15% 1.3s101.4 MiB [] 17% 1.2s101.4 MiB [] 19% 1.1s101.4 MiB [] 21% 1.0s101.4 MiB [] 23% 1.0s101.4 MiB [] 25% 0.9s101.4 MiB [] 27% 0.9s101.4 MiB [] 29% 0.8s101.4 MiB [] 32% 0.8s101.4 MiB [] 33% 0.7s101.4 MiB [] 35% 0.7s101.4 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Internet turned off
When I use SCUBADUCK_DB to load a sqlite database representing Chrome history, it fails when I query with: 127.0.0.1 - - [22/May/2025 00:26:48] "POST /api/query HTTP/1.1" 500 - Traceback (most recent call last): File "/Users/ezyang/Dev/scubaduck/.venv/lib/python3.12/site-packages/flask/app.py", line 1536, in __call__ return self.wsgi_app(environ, start_response) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ezyang/Dev/scubaduck/.venv/lib/python3.12/site-packages/flask/app.py", line 1514, in wsgi_app response = self.handle_exception(e) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ezyang/Dev/scubaduck/.venv/lib/python3.12/site-packages/flask/app.py", line 1511, in wsgi_app response = self.full_dispatch_request() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ezyang/Dev/scubaduck/.venv/lib/python3.12/site-packages/flask/app.py", line 919, in full_dispatch_request rv = self.handle_user_exception(e) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ezyang/Dev/scubaduck/.venv/lib/python3.12/site-packages/flask/app.py", line 917, in full_dispatch_request rv = self.dispatch_request() ^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ezyang/Dev/scubaduck/.venv/lib/python3.12/site-packages/flask/app.py", line 902, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ezyang/Dev/scubaduck/scubaduck/server.py", line 584, in query mn = datetime.fromtimestamp(int(mn), tz=timezone.utc) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ValueError: year 424141527 is out of range It's hard to tell exactly what the context of this problem is from the traceback only. If you know how to fix it, write a test that exercises the problem and fix it directly. Otherwise, enhance the error information with extra information about the context of the request / useful information about the database in question.

I'll start by opening the root AGENTS.md as instructed.

shell
bash: .venv/bin/activate: No such file or directory root@3f387c2801e3:/workspace# ls scubaduck
root@3f387c2801e3:/workspace# cd scubaduck root@3f387c2801e3:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock
root@3f387c2801e3:/workspace/scubaduck# cat AGENTS.md - Use "source .venv/bin/activate" to activate the virtual environment before running any commands - ONLY use non-interactive commands like cat, sed, apply_patch to do edits. Do NOT use interactive editors. - Do NOT attempt to install packages. Only the packages specified in pyproject.toml are available. You cannot add new packages. If you desperately want another package, make a note of it in the final PR description. - Use conventional commits to format PR title - There are no nested AGENTS.md files, this is the only agents file - When using Playwright, ONLY use chromium browser. This browser is already installed. - Use "ruff check" to check lint, "ruff format" to autoformat files and "pyright" to typecheck. - When writing the PR description, include the original prompt supplied by the user. - When you add functionality to the server, add server tests to tests/test_server.py. When you add features to the frontend, add frontend tests to tests/test_web.py

I’ll explore the repo structure now that I know I need to use venv.

shell
root@3f387c2801e3:/workspace/scubaduck# ls -R .: AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock ./scubaduck: __init__.py sample.csv server.py static ./scubaduck/static: index.html js ./scubaduck/static/js: chip_input.js timeseries_chart.js ./stubs: duckdb ./stubs/duckdb: __init__.pyi ./tests: conftest.py test_server.py test_web.py

I'll open the scubaduck server to check for the query endpoint.

shell
root@3f387c2801e3:/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 sqlite3 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 _normalize_sqlite_type(sql: str) -> str: """Map arbitrary SQLite column types to DuckDB-compatible types.""" t = sql.strip().upper() if "(" in t: t = t.split("(", 1)[0] if "INT" in t: # SQLite only has a single INTEGER type which is always 64-bit. # Use DuckDB's BIGINT to avoid overflow when values exceed INT32. return "BIGINT" if any(key in t for key in ("CHAR", "CLOB", "TEXT")): return "VARCHAR" if "BLOB" in t: return "BLOB" if any(key in t for key in ("DOUBLE", "REAL", "FLOA", "NUMERIC", "DECIMAL")) : return "DOUBLE" if "BOOL" in t: return "BOOLEAN" if "DATE" in t or "TIME" in t: return "TIMESTAMP" if "TIME" in t else "DATE" return "VARCHAR" 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() try: 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 db.sqlite_master WHERE type='table'" ).fetchall() ] for t in tables: con.execute(f'CREATE VIEW "{t}" AS SELECT * FROM db."{t}"') except Exception: sconn = sqlite3.connect(path) tables = [ r[0] for r in sconn.execute( "SELECT name FROM sqlite_master WHERE type='table'" ).fetchall() ] for t in tables: info = sconn.execute(f'PRAGMA table_info("{t}")').fetchall() col_defs = ", ".join( f'"{r[1]}" {_normalize_sqlite_type(cast(str, r[2]))}' for r in info ) sql = f'CREATE TABLE "{t}" ({col_defs})' try: con.execute(sql) except Exception: print(f"Failed SQL: {sql}") raise placeholders = ",".join("?" for _ in info) for row in sconn.execute(f'SELECT * FROM "{t}"'): con.execute(f'INSERT INTO "{t}" VALUES ({placeholders})', ro w) sconn.close() else: con = duckdb.connect(path) return con _REL_RE = re.compile( r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortnight s)", re.IGNORECASE, ) def parse_time(val: str | None) -> str | None: """Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``."" " if val is None or val == "": return None s = val.strip() if s.lower() == "now": dt = datetime.now(timezone.utc) return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") m = _REL_RE.fullmatch(s) if m: qty = float(m.group(1)) unit = m.group(2).lower() delta: timedelta if unit.startswith("hour"): delta = timedelta(hours=qty) elif unit.startswith("day"): delta = timedelta(days=qty) elif unit.startswith("week"): delta = timedelta(weeks=qty) elif unit.startswith("fortnight"): delta = timedelta(weeks=2 * qty) else: # pragma: no cover - defensive raise ValueError(f"Unsupported unit: {unit}") dt = datetime.now(timezone.utc) + delta return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") dt = dtparser.parse(s) return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H:%M:%S") def _granularity_seconds(granularity: str, start: str | None, end: str | None) - > int:
root@3f387c2801e3:/workspace/scubaduck# sed -n '160,320p' scubaduck/server.py 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", "NUMERIC", "HUGEINT", ] ): divisor = { "s": 1, "ms": 1000, "us": 1_000_000, "ns": 1_000_000_000, }.get(unit, 1) if divisor == 1: expr = f"CAST({col} AS BIGINT)" else: expr = f"CAST({col} / {divisor} AS BIGINT)" return f"TIMESTAMP 'epoch' + INTERVAL '1 second' * {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: if agg.startswith("p"): quant = float(agg[1:]) / 100 return f"quantile({col}, {quant})" if agg == "count distinct": return f"count(DISTINCT {col})" if agg == "avg" and column_types is not None: ctype = column_types.get(col, "").upper() if "TIMESTAMP" in ctype or "DATE" in ctype or "TIME" in ctype: return ( "TIMESTAMP 'epoch' + INTERVAL '1 second' * " f"CAST(avg(epoch({col})) AS BIGINT)" ) return f"{agg}({col})" 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):
root@3f387c2801e3:/workspace/scubaduck# sed -n '320,640p' scubaduck/server.py 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()] 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] ... if params.order_by and params.order_by not in valid_cols: return jsonify({"error": f"Unknown column: {params.order_by}"}), 400 if params.group_by or params.graph_type == "timeseries": agg = (params.aggregate or "avg").lower() if agg.startswith("p") or agg == "sum": need_numeric = True allow_time = False elif agg == "avg" or agg in {"min", "max"}: need_numeric = False allow_time = True else: need_numeric = False allow_time = False if need_numeric or allow_time: for c in params.columns: if c in params.group_by or c == params.x_axis: continue if c not in column_types: continue ctype = column_types.get(c, "").upper() is_numeric = any( t in ctype for t in [ "INT", "DECIMAL", "REAL", "DOUBLE", "FLOAT", "NUMERIC", "HUGEINT", ] ) is_time = "TIMESTAMP" in ctype or "DATE" in ctype or "TIME" in ctype if need_numeric and not is_numeric: return ( jsonify( { "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) if allow_time and not (is_numeric or is_time): return ( jsonify( { "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) 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 if isinstance(mn, (int, float)): mn = datetime.fromtimestamp(int(mn), tz=timezone.utc) if isinstance(mx, (int, float)): mx = datetime.fromtimestamp(int(mx), tz=timezone.utc) 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

The file is long, but I'll check more lines around 540 to thoroughly review.

shell
root@3f387c2801e3:/workspace/scubaduck# grep -n "build_query" -n scubaduck/serve r.py 226:def build_query(params: QueryParams, column_types: Dict[str, str] | None = N one) -> str: 284: inner_sql = build_query(inner_params, column_types) 619: sql = build_query(params, column_types)

I'll focus on lines starting from 580, where the error occurs around line 584.

shell
root@3f387c2801e3:/workspace/scubaduck# sed -n '560,620p' scubaduck/server.py "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) if allow_time and not (is_numeric or is_time): return ( jsonify( { "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) 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 if isinstance(mn, (int, float)): mn = datetime.fromtimestamp(int(mn), tz=timezone.utc) if isinstance(mx, (int, float)): mx = datetime.fromtimestamp(int(mx), tz=timezone.utc) 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:
root@3f387c2801e3:/workspace/scubaduck# sed -n '620,700p' scubaduck/server.py 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)

Chrome's 'last_visit_time' timestamp uses microseconds since 1601, causing out-of-range errors. I'll handle this.

To fix the issue, I’ll adjust for Chrome’s 1601 epoch base when converting.

I’m searching for the SCUBADUCK_TIME_UNIT variable or similar to customize the timestamp handling.

shell
root@3f387c2801e3:/workspace/scubaduck# grep -n "time_unit" -n scubaduck/server. py 47: time_unit: str = "s" 232: xexpr = _time_expr(x_axis, column_types, params.time_unit) 308: time_expr = _time_expr(params.time_column, column_types, params.time_uni t) 465: time_unit=payload.get("time_unit", "s"), 478: if params.time_unit not in {"s", "ms", "us", "ns"}: 479: return jsonify({"error": "Invalid time_unit"}), 400

I'll go back to line 465 to look at how the payload is being parsed.

shell
root@3f387c2801e3:/workspace/scubaduck# sed -n '460,520p' scubaduck/server.py 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 if params.graph_type not in {"table", "timeseries"} and ( params.group_by or params.aggregate or params.show_hits ): return ( jsonify( { "error": "group_by, aggregate and show_hits are only val id for table or timeseries view" } ), 400, ) valid_cols = set(column_types.keys()) valid_cols.update(params.derived_columns.keys()) if params.graph_type == "timeseries": if params.x_axis is None: params.x_axis = params.time_column if params.x_axis not in valid_cols: return jsonify({"error": "Invalid x_axis"}), 400 ctype = column_types.get(params.x_axis, "").upper() is_time = any(t in ctype for t in ["TIMESTAMP", "DATE", "TIME"]) is_numeric = any( t in ctype for t in [ "INT", "DECIMAL", "REAL", "DOUBLE", "FLOAT", "NUMERIC", "HUGEINT", ] ) if not (is_time or is_numeric): return jsonify({"error": "x_axis must be a time column"}), 400 for col in params.columns: if col not in valid_cols: return jsonify({"error": f"Unknown column: {col}"}), 400 for col in params.group_by: if col not in valid_cols:

I’ll take a look at the earlier lines in _time_expr now.

shell
root@3f387c2801e3:/workspace/scubaduck# sed -n '200,260p' scubaduck/server.py if any( t in ctype for t in [ "INT", "DECIMAL", "REAL", "DOUBLE", "FLOAT", "NUMERIC", "HUGEINT", ] ): divisor = { "s": 1, "ms": 1000, "us": 1_000_000, "ns": 1_000_000_000, }.get(unit, 1) if divisor == 1: expr = f"CAST({col} AS BIGINT)" else: expr = f"CAST({col} / {divisor} AS BIGINT)" return f"TIMESTAMP 'epoch' + INTERVAL '1 second' * {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: if agg.startswith("p"): quant = float(agg[1:]) / 100 return f"quantile({col}, {quant})" if agg == "count distinct": return f"count(DISTINCT {col})" if agg == "avg" and column_types is not None: ctype = column_types.get(col, "").upper()
from typing import cast import duckdb from scubaduck import server import pytest def test_basic_query() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 00:00:00", "order_by": "timestamp", "order_dir": "ASC", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] # We expect first three rows (until 2024-01-02 00:00:00) assert len(rows) == 3 assert rows[0][1] == "login" assert rows[1][1] == "logout" def test_js_served() -> None: app = server.app client = app.test_client() rv = client.get("/js/chip_input.js") assert rv.status_code == 200 assert b"initChipInput" in rv.data def test_filter_multi_token() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 03:00:00", "order_by": "timestamp", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [{"column": "user", "op": "=", "value": ["alice", "charlie"]} ], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] # Should only return rows for alice and charlie assert len(rows) == 3 assert rows[0][3] == "alice" assert rows[-1][3] == "charlie" def test_empty_filter_is_noop() -> None: app = server.app client = app.test_client() base_payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "limit": 100, "columns": ["timestamp", "event", "value", "user"], } no_filter = {**base_payload, "filters": []} empty_filter = { **base_payload, "filters": [{"column": "user", "op": "=", "value": None}], } rv1 = client.post( "/api/query", data=json.dumps(no_filter), content_type="application/json " ) rv2 = client.post( "/api/query", data=json.dumps(empty_filter), content_type="application/j son" ) rows1 = rv1.get_json()["rows"] rows2 = rv2.get_json()["rows"] assert rows1 == rows2 def test_select_columns() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "order_by": "timestamp", "limit": 10, "columns": ["timestamp", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] assert len(rows[0]) == 2 assert rows[0][1] == "alice" def test_string_filter_ops() -> None: app = server.app client = app.test_client() base = { "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], } contains = { **base, "filters": [{"column": "user", "op": "contains", "value": "ali"}], } rv = client.post( "/api/query", data=json.dumps(contains), content_type="application/json" ) rows = rv.get_json()["rows"] assert all("ali" in r[3] for r in rows) regex = { **base, "filters": [{"column": "user", "op": "~", "value": "^a.*"}], } rv = client.post( "/api/query", data=json.dumps(regex), content_type="application/json" ) rows = rv.get_json()["rows"] assert all(r[3].startswith("a") for r in rows) assert len(rows) == 2 not_empty = {**base, "filters": [{"column": "user", "op": "!empty"}]} rv = client.post( "/api/query", data=json.dumps(not_empty), content_type="application/json " ) assert len(rv.get_json()["rows"]) == 4 def _make_payload() -> dict[str, object]: return { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 00:00:00", "order_by": "timestamp", "order_dir": "ASC", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [], } def test_database_types(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text(Path("scubaduck/sample.csv").read_text()) sqlite_file = tmp_path / "events.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute( "CREATE TABLE events (timestamp TEXT, event TEXT, value INTEGER, user TE XT)" ) with open(csv_file) as f: next(f) for line in f: ts, ev, val, user = line.strip().split(",") conn.execute( "INSERT INTO events VALUES (?, ?, ?, ?)", (ts, ev, int(val), use r) ) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] duckdb_file = tmp_path / "events.duckdb" con = duckdb.connect(duckdb_file) con.execute( f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{csv_file.as_posix ()}')" ) con.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcces sIssue] for db in (csv_file, sqlite_file, duckdb_file): app = server.create_app(db) client = app.test_client()
) rows = rv.get_json()["rows"] assert len(rows) == 3 def test_sqlite_longvarchar(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: sqlite_file = tmp_path / "events.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute( "CREATE TABLE events (timestamp TEXT, url LONGVARCHAR, title VARCHAR(10) )" ) conn.execute( "INSERT INTO events VALUES ('2024-01-01 00:00:00', 'https://a.com', 'Hom e')" ) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] from typing import Any real_connect = duckdb.connect def failing_connect(*args: Any, **kwargs: Any) -> Any: real = real_connect(*args, **kwargs) class Wrapper: def __init__(self, con: duckdb.DuckDBPyConnection) -> None: self.con = con self._failed = False def execute(self, sql: str, *a: Any, **kw: Any): if not self._failed and sql == "LOAD sqlite": self._failed = True raise RuntimeError("fail") return self.con.execute(sql, *a, **kw) def __getattr__(self, name: str) -> object: return getattr(self.con, name) return Wrapper(real) monkeypatch.setattr(server.duckdb, "connect", failing_connect) app = server.create_app(sqlite_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "timestamp", "columns": ["timestamp", "url", "title"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][1] == "https://a.com" def test_sqlite_bigint(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: sqlite_file = tmp_path / "big.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute("CREATE TABLE events (timestamp TEXT, value INTEGER)") big_value = 13385262862605259 conn.execute( "INSERT INTO events VALUES ('2024-01-01 00:00:00', ?)", (big_value,), ) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] from typing import Any real_connect = duckdb.connect def failing_connect(*args: Any, **kwargs: Any) -> Any: real = real_connect(*args, **kwargs) class Wrapper: def __init__(self, con: duckdb.DuckDBPyConnection) -> None: self.con = con self._failed = False def execute(self, sql: str, *a: Any, **kw: Any): if not self._failed and sql == "LOAD sqlite": self._failed = True raise RuntimeError("fail") return self.con.execute(sql, *a, **kw) def __getattr__(self, name: str) -> object: return getattr(self.con, name) return Wrapper(real) monkeypatch.setattr(server.duckdb, "connect", failing_connect) app = server.create_app(sqlite_file) client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "columns": ["timestamp", "value"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][1] == big_value def test_integer_time_column(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200,login\n1704070800,logout\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_integer_time_unit_ms(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200000,login\n1704070800000,logou t\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", "time_unit": "ms", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_envvar_db(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None: csv_file = tmp_path / "custom.csv" csv_file.write_text("timestamp,event,value,user\n2024-01-01 00:00:00,login,5 ,bob\n") monkeypatch.setenv("SCUBADUCK_DB", str(csv_file)) app = server.create_app() client = app.test_client() payload = _make_payload() rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) rows = rv.get_json()["rows"] assert len(rows) == 1 def test_envvar_db_missing(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> N one: missing = tmp_path / "missing.sqlite" monkeypatch.setenv("SCUBADUCK_DB", str(missing)) with pytest.raises(FileNotFoundError): server.create_app() def test_group_by_table() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "user", "limit": 10, "columns": ["value"], "group_by": ["user"], "aggregate": "Sum", "show_hits": True, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" )
fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime) payload = { "table": "events", "start": "-1 hour", "end": "now", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 assert data["rows"][0][3] == "charlie" def test_invalid_time_error() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "nonsense", "end": "now", "order_by": "timestamp", "limit": 10, "columns": ["timestamp"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "error" in data def test_query_error_returns_sql_and_traceback() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "columns": ["event"], "group_by": ["user"], "aggregate": "avg", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "error" in data def test_table_unknown_column_error() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "timestamp", "limit": 100, "columns": ["user", "Hits", "value"], "group_by": ["user"], "aggregate": "Count", "show_hits": True, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "Unknown column" in data["error"] def test_samples_view_rejects_group_by() -> None: app = server.app client = app.test_client() payload = { "table": "events", "graph_type": "samples", "group_by": ["user"], "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "only valid" in data["error"] def test_table_avg_with_timestamp() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "user", "limit": 100, "columns": ["user", "timestamp", "value"], "group_by": ["user"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 ... rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 assert all(r[1] == "alice" for r in data["rows"]) def test_timeseries_auto_and_fine_buckets() -> None: app = server.app client = app.test_client() def run(gran: str) -> None: payload = { "start": "2024-01-01 00:00:00", "end": "2024-01-02 03:00:00", "graph_type": "timeseries", "columns": ["value"], "x_axis": "timestamp", "granularity": gran, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/js on" ) data = rv.get_json() assert rv.status_code == 200 from dateutil import parser start = parser.parse(cast(str, payload["start"])).replace(tzinfo=None) buckets = [ parser.parse(cast(str, r[0])).replace(tzinfo=None) for r in data["ro ws"] ] assert buckets[0] == start if len(buckets) > 1: step = (buckets[1] - buckets[0]).total_seconds() assert step % data["bucket_size"] == 0 assert any(r[1] != 0 for r in data["rows"]) run("Auto") run("Fine") def test_timeseries_string_column_error() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "timeseries", "limit": 7, "columns": ["timestamp", "event", "value", "user"], "x_axis": "timestamp", "granularity": "1 hour", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 400 assert "Aggregate" in data["error"] def test_derived_column_basic() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "limit": 10, "columns": ["timestamp"], "derived_columns": {"val2": "value * 2"}, "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][1] == 20 def test_timeseries_derived_column() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "timeseries", "granularity": "1 hour", "limit": 7, "columns": ["value"], "derived_columns": {"derived_1": "value * 2"}, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 rows = data["rows"] assert all(r[2] == r[1] * 2 for r in rows) def test_default_start_end_returned() -> None: app = server.app client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "limit": 5, "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-02 03:00:00"

I’m browsing a bit further to verify the tests.

shell
root@3f387c2801e3:/workspace/scubaduck# grep -n "default_start_end" -n tests/tes t_server.py 716:def test_default_start_end_returned() -> None:
def test_default_start_end_returned() -> None: app = server.app client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "limit": 5, "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-02 03:00:00"

I'll create a test to replicate the bug using big integer timestamps. Time_unit handling seems tricky.

I'll improve the error message with guidance on adjusting time_unit, but can't fix automatically.

Splitting timestamp by time_unit 'us' should prevent the crash and handle large values properly.

I'll create a test with microseconds timestamps and check if default start/end works correctly.

shell
root@3f387c2801e3:/workspace/scubaduck# grep -n "integer_time_unit_ms" -n tests/ test_server.py 340:def test_integer_time_unit_ms(tmp_path: Path) -> None:
} rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["rows"][0][1] == big_value def test_integer_time_column(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200,login\n1704070800,logout\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_integer_time_unit_ms(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200000,login\n1704070800000,logou t\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", "time_unit": "ms", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2

I'll add a new test for verifying the default start and end values returned by the server.

shell
rver.py 157:def _make_payload() -> dict[str, object]: 201: payload = _make_payload() 368: payload = _make_payload()
root@3f387c2801e3:/workspace/scubaduck# sed -n '148,170p' tests/test_server.py assert len(rows) == 2 not_empty = {**base, "filters": [{"column": "user", "op": "!empty"}]} rv = client.post( "/api/query", data=json.dumps(not_empty), content_type="application/json " ) assert len(rv.get_json()["rows"]) == 4 def _make_payload() -> dict[str, object]: return { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 00:00:00", "order_by": "timestamp", "order_dir": "ASC", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [], } def test_database_types(tmp_path: Path) -> None:

I'll create a test for microsecond precision times to reproduce the server bug.

I'll implement better error handling with a 400 error message, gracefully avoiding 500 errors.

I'll parse and convert timestamps based on time_unit, gracefully handling errors without raising exceptions.

I'll implement a test to confirm the fix returns a 200 status, not 400 or 500.

shell
root@3f387c2801e3:/workspace/scubaduck# git status --short

I'll open server.py to apply the necessary patch for the fix.

shell
tuple[datetime | None, datetime | None], con.execute( f'SELECT min({axis}), max({axis}) FROM "{params.table}"' ).fetchall()[0], ) mn, mx = row if isinstance(mn, (int, float)): mn = datetime.fromtimestamp(int(mn), tz=timezone.utc) if isinstance(mx, (int, float)): mx = datetime.fromtimestamp(int(mx), tz=timezone.utc) 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

I'm about to fix this segment and compute the divisor_map. Let's open the patch.

shell
root@3f387c2801e3:/workspace/scubaduck# apply_patch<<'PATCH' > *** Begin Patch > *** Update File: scubaduck/server.py > @@ > - mn, mx = row > - if isinstance(mn, (int, float)): > - mn = datetime.fromtimestamp(int(mn), tz=timezone.utc) > - if isinstance(mx, (int, float)): > - mx = datetime.fromtimestamp(int(mx), tz=timezone.utc) > + 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=timezon e.utc) > + except Exception: > + return ( > + jsonify( > + { > + "error": ( > + f"Invalid time value {mn} for column {axi s}" > + f" with time_unit {params.time_unit}" > + ) > + } > + ), > + 400, > + ) > + if isinstance(mx, (int, float)): > + try: > + mx = datetime.fromtimestamp(int(mx) / divisor, tz=timezon e.utc) > + except Exception: > + return ( > + jsonify( > + { > + "error": ( > + f"Invalid time value {mx} for column {axi s}" > + f" with time_unit {params.time_unit}" > + ) > + } > + ), > + 400, > + ) > *** End Patch > PATCH Success. Updated the following files: M scubaduck/server.py
root@3f387c2801e3:/workspace/scubaduck# source .venv/bin/activate (scubaduck) root@3f387c2801e3:/workspace/scubaduck# ruff format scubaduck/server .py 1 file left unchanged (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

The modification didn't work, so I'll add a new test to try instead.

shell
def test_envvar_db(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None: csv_file = tmp_path / "custom.csv" csv_file.write_text("timestamp,event,value,user\n2024-01-01 00:00:00,login,5 ,bob\n") monkeypatch.setenv("SCUBADUCK_DB", str(csv_file)) app = server.create_app() client = app.test_client() payload = _make_payload() rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) rows = rv.get_json()["rows"] assert len(rows) == 1 def test_envvar_db_missing(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> N one: missing = tmp_path / "missing.sqlite" monkeypatch.setenv("SCUBADUCK_DB", str(missing)) with pytest.raises(FileNotFoundError): server.create_app() def test_group_by_table() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "user", "limit": 10, "columns": ["value"], "group_by": ["user"], "aggregate": "Sum", "show_hits": True, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) rows = rv.get_json()["rows"] assert rows[0][0] == "alice" assert rows[0][1] == 2 assert rows[0][2] == 40 def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None: app = server.app client = app.test_client() from datetime import datetime fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime) (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

I'll find the right place near "300" after "integer_time_unit_ms".

shell
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# grep -n "integer_time_unit_u s" -n tests/test_server.py (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

I'll check the lines following test_integer_time_unit_ms to find the right spot.

shell
_server.py csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200,login\n1704070800,logout\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_integer_time_unit_ms(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200000,login\n1704070800000,logou t\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", "time_unit": "ms", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" )
assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_envvar_db(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None: csv_file = tmp_path / "custom.csv" csv_file.write_text("timestamp,event,value,user\n2024-01-01 00:00:00,login,5 ,bob\n") monkeypatch.setenv("SCUBADUCK_DB", str(csv_file)) app = server.create_app() client = app.test_client() payload = _make_payload() rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) rows = rv.get_json()["rows"] assert len(rows) == 1 def test_envvar_db_missing(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> N one: missing = tmp_path / "missing.sqlite" monkeypatch.setenv("SCUBADUCK_DB", str(missing)) with pytest.raises(FileNotFoundError): server.create_app() def test_group_by_table() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "graph_type": "table", "order_by": "user", "limit": 10, "columns": ["value"], "group_by": ["user"], "aggregate": "Sum", "show_hits": True, } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) rows = rv.get_json()["rows"] assert rows[0][0] == "alice" assert rows[0][1] == 2 assert rows[0][2] == 40 def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None: app = server.app client = app.test_client() from datetime import datetime fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime) (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

I’ll review the patch around test_integer_time_unit_ms and envvar_db to confirm the indent.

shell
> *** Update File: tests/test_server.py > @@ > def test_integer_time_unit_ms(tmp_path: Path) -> None: > @@ > assert len(data["rows"]) == 2 > + > + > +def test_integer_time_unit_us_default_start_end(tmp_path: Path) -> None: > + csv_file = tmp_path / "events.csv" > + csv_file.write_text( > + "created,event\n1704067200000000,login\n1704070800000000,logout\n" > + ) > + app = server.create_app(csv_file) > + client = app.test_client() > + payload = { > + "table": "events", > + "order_by": "created", > + "columns": ["created", "event"], > + "time_column": "created", > + "time_unit": "us", > + } > + rv = client.post( > + "/api/query", data=json.dumps(payload), content_type="application/jso n" > + ) > + data = rv.get_json() > + assert rv.status_code == 200 > + assert data["start"] == "2024-01-01 00:00:00" > + assert data["end"] == "2024-01-01 01:00:00" > + assert len(data["rows"]) == 2 > *** End Patch > PATCH Success. Updated the following files: M tests/test_server.py (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

Time to apply ruff to format the file. Let's clean this up!

shell
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# ruff format tests/test_serve r.py 1 file left unchanged (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

I'll go ahead and run the ruff check now.

shell
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# ruff check scubaduck/server. py tests/test_server.py All checks passed!
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# pyright
0 errors, 0 warnings, 0 informations (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

Time to run pytest and check if everything passes smoothly!

shell
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# pytest -q

bringing up nodes...





........................................................................ [ 78%]

.................... [100%] 92 passed in 14.63s (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

Alright, time to check the git status after the tests passed.

shell
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# git status --short M scubaduck/server.py M tests/test_server.py
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# git add scubaduck/server.py tests/test_server.py
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# git commit -m "fix(server): handle numeric timestamp units" && git status --short [work 7125444] fix(server): handle numeric timestamp units 2 files changed, 58 insertions(+), 2 deletions(-)
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# git status --short (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

I'll gather line ranges from server.py and summarize the changes made.

shell
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# nl -ba scubaduck/server.py | sed -n '578,615p' 578 con.execute( 579 f'SELECT min({axis}), max({axis}) FROM "{params.tabl e}"' 580 ).fetchall()[0], 581 ) 582 mn, mx = row 583 divisor = { 584 "s": 1, 585 "ms": 1000, 586 "us": 1_000_000, 587 "ns": 1_000_000_000, 588 }.get(params.time_unit, 1) 589 if isinstance(mn, (int, float)): 590 try: 591 mn = datetime.fromtimestamp(int(mn) / divisor, tz=ti mezone.utc) 592 except Exception: 593 return ( 594 jsonify( 595 { 596 "error": ( 597 f"Invalid time value {mn} for column {axis}" 598 f" with time_unit {params.time_unit} " 599 ) 600 } 601 ), 602 400, 603 ) 604 if isinstance(mx, (int, float)): 605 try: 606 mx = datetime.fromtimestamp(int(mx) / divisor, tz=ti mezone.utc) 607 except Exception: 608 return ( 609 jsonify( 610 { 611 "error": ( 612 f"Invalid time value {mx} for column {axis}" 613 f" with time_unit {params.time_unit} " 614 ) 615 }
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# nl -ba scubaduck/server.py | sed -n '615,640p' 615 } 616 ), 617 400, 618 ) 619 if params.start is None and mn is not None: 620 params.start = ( 621 mn.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(m n, str) else mn 622 ) 623 if params.end is None and mx is not None: 624 params.end = ( 625 mx.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(m x, str) else mx 626 ) 627 628 bucket_size: int | None = None 629 if params.graph_type == "timeseries": 630 bucket_size = _granularity_seconds( 631 params.granularity, 632 params.start if isinstance(params.start, str) else None, 633 params.end if isinstance(params.end, str) else None, 634 ) 635 if ( 636 params.limit is not None 637 and params.start is not None 638 and params.end is not None 639 ): 640 try: (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

I need to create new test lines for this task.

shell
(scubaduck) root@3f387c2801e3:/workspace/scubaduck# nl -ba tests/test_server.py | sed -n '330,384p' 330 "time_column": "created", 331 } 332 rv = client.post( 333 "/api/query", data=json.dumps(payload), content_type="applicatio n/json" 334 ) 335 data = rv.get_json() 336 assert rv.status_code == 200 337 assert len(data["rows"]) == 2 338 339 340 def test_integer_time_unit_ms(tmp_path: Path) -> None: 341 csv_file = tmp_path / "events.csv" 342 csv_file.write_text("created,event\n1704067200000,login\n17040708000 00,logout\n") 343 app = server.create_app(csv_file) 344 client = app.test_client() 345 payload = { 346 "table": "events", 347 "start": "2024-01-01 00:00:00", 348 "end": "2024-01-01 01:00:00", 349 "order_by": "created", 350 "columns": ["created", "event"], 351 "time_column": "created", 352 "time_unit": "ms", 353 } 354 rv = client.post( 355 "/api/query", data=json.dumps(payload), content_type="applicatio n/json" 356 ) 357 data = rv.get_json() 358 assert rv.status_code == 200 359 assert len(data["rows"]) == 2 360 361 362 def test_integer_time_unit_us_default_start_end(tmp_path: Path) -> None: 363 csv_file = tmp_path / "events.csv" 364 csv_file.write_text( 365 "created,event\n1704067200000000,login\n1704070800000000,logout\ n" 366 ) 367 app = server.create_app(csv_file) 368 client = app.test_client() 369 payload = { 370 "table": "events", 371 "order_by": "created", 372 "columns": ["created", "event"], 373 "time_column": "created", 374 "time_unit": "us", 375 } 376 rv = client.post( 377 "/api/query", data=json.dumps(payload), content_type="applicatio n/json" 378 ) 379 data = rv.get_json() 380 assert rv.status_code == 200 381 assert data["start"] == "2024-01-01 00:00:00" 382 assert data["end"] == "2024-01-01 01:00:00" 383 assert len(data["rows"]) == 2 384 (scubaduck) root@3f387c2801e3:/workspace/scubaduck#

I'll finalize the PR with a title and body referencing the recent commit.