Task ID: task_e_682e181db4e883238b23678dab16e102
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (0/33)
pluggy ------------------------------ 20.06 KiB/20.06 KiB
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB
requests ------------------------------ 48.00 KiB/63.41 KiB
packaging ------------------------------ 48.00 KiB/64.91 KiB
click ------------------------------ 78.88 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 76.25 KiB/125.66 KiB
jinja2 ------------------------------ 78.09 KiB/131.74 KiB
charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB
certifi ------------------------------ 155.88 KiB/155.88 KiB
werkzeug ------------------------------ 76.62 KiB/219.24 KiB
python-dateutil ------------------------------ 48.00 KiB/224.50 KiB
pytest ------------------------------ 62.88 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 14.91 KiB/5.31 MiB
ruff ------------------------------ 219.83 KiB/11.02 MiB
duckdb ------------------------------ 333.61 KiB/19.27 MiB
playwright ------------------------------ 32.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (0/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB
requests ------------------------------ 48.00 KiB/63.41 KiB
packaging ------------------------------ 64.91 KiB/64.91 KiB
click ------------------------------ 78.88 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 76.25 KiB/125.66 KiB
jinja2 ------------------------------ 78.09 KiB/131.74 KiB
charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB
certifi ------------------------------ 155.88 KiB/155.88 KiB
werkzeug ------------------------------ 76.62 KiB/219.24 KiB
python-dateutil ------------------------------ 48.00 KiB/224.50 KiB
pytest ------------------------------ 62.88 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 14.91 KiB/5.31 MiB
ruff ------------------------------ 235.83 KiB/11.02 MiB
duckdb ------------------------------ 349.61 KiB/19.27 MiB
playwright ------------------------------ 32.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (0/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB
requests ------------------------------ 48.00 KiB/63.41 KiB
packaging ------------------------------ 64.91 KiB/64.91 KiB
click ------------------------------ 78.88 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 76.25 KiB/125.66 KiB
jinja2 ------------------------------ 94.09 KiB/131.74 KiB
charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB
certifi ------------------------------ 155.88 KiB/155.88 KiB
werkzeug ------------------------------ 92.62 KiB/219.24 KiB
python-dateutil ------------------------------ 48.00 KiB/224.50 KiB
pytest ------------------------------ 76.68 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 14.91 KiB/5.31 MiB
ruff ------------------------------ 267.83 KiB/11.02 MiB
duckdb ------------------------------ 349.61 KiB/19.27 MiB
playwright ------------------------------ 32.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (0/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 48.00 KiB/63.41 KiB
packaging ------------------------------ 64.91 KiB/64.91 KiB
click ------------------------------ 94.88 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 76.25 KiB/125.66 KiB
jinja2 ------------------------------ 94.09 KiB/131.74 KiB
charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB
werkzeug ------------------------------ 92.62 KiB/219.24 KiB
python-dateutil ------------------------------ 60.30 KiB/224.50 KiB
pytest ------------------------------ 76.68 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 30.91 KiB/5.31 MiB
ruff ------------------------------ 267.83 KiB/11.02 MiB
duckdb ------------------------------ 349.61 KiB/19.27 MiB
playwright ------------------------------ 32.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (0/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 64.91 KiB/64.91 KiB
click ------------------------------ 99.76 KiB/99.76 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 76.25 KiB/125.66 KiB
jinja2 ------------------------------ 110.09 KiB/131.74 KiB
werkzeug ------------------------------ 92.62 KiB/219.24 KiB
python-dateutil ------------------------------ 92.30 KiB/224.50 KiB
pytest ------------------------------ 108.68 KiB/335.58 KiB
greenlet ------------------------------ 78.76 KiB/589.71 KiB
pyright ------------------------------ 126.91 KiB/5.31 MiB
ruff ------------------------------ 367.83 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... (0/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 64.91 KiB/64.91 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 92.25 KiB/125.66 KiB
jinja2 ------------------------------ 125.98 KiB/131.74 KiB
werkzeug ------------------------------ 108.62 KiB/219.24 KiB
python-dateutil ------------------------------ 140.30 KiB/224.50 KiB
pytest ------------------------------ 124.68 KiB/335.58 KiB
greenlet ------------------------------ 126.76 KiB/589.71 KiB
pyright ------------------------------ 174.91 KiB/5.31 MiB
ruff ------------------------------ 415.83 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... (16/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 64.91 KiB/64.91 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 92.25 KiB/125.66 KiB
jinja2 ------------------------------ 125.98 KiB/131.74 KiB
werkzeug ------------------------------ 108.62 KiB/219.24 KiB
python-dateutil ------------------------------ 140.30 KiB/224.50 KiB
pytest ------------------------------ 124.68 KiB/335.58 KiB
greenlet ------------------------------ 126.76 KiB/589.71 KiB
pyright ------------------------------ 174.91 KiB/5.31 MiB
ruff ------------------------------ 415.83 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... (16/33)
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 64.91 KiB/64.91 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 92.25 KiB/125.66 KiB
jinja2 ------------------------------ 125.98 KiB/131.74 KiB
werkzeug ------------------------------ 108.62 KiB/219.24 KiB
python-dateutil ------------------------------ 156.30 KiB/224.50 KiB
pytest ------------------------------ 124.68 KiB/335.58 KiB
greenlet ------------------------------ 142.76 KiB/589.71 KiB
pyright ------------------------------ 190.91 KiB/5.31 MiB
ruff ------------------------------ 431.83 KiB/11.02 MiB
duckdb ------------------------------ 541.61 KiB/19.27 MiB
playwright ------------------------------ 48.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 92.25 KiB/125.66 KiB
jinja2 ------------------------------ 125.98 KiB/131.74 KiB
werkzeug ------------------------------ 108.62 KiB/219.24 KiB
python-dateutil ------------------------------ 172.30 KiB/224.50 KiB
pytest ------------------------------ 124.68 KiB/335.58 KiB
greenlet ------------------------------ 158.76 KiB/589.71 KiB
pyright ------------------------------ 206.91 KiB/5.31 MiB
ruff ------------------------------ 447.83 KiB/11.02 MiB
duckdb ------------------------------ 557.61 KiB/19.27 MiB
playwright ------------------------------ 48.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 92.25 KiB/125.66 KiB
jinja2 ------------------------------ 125.98 KiB/131.74 KiB
werkzeug ------------------------------ 108.62 KiB/219.24 KiB
python-dateutil ------------------------------ 188.30 KiB/224.50 KiB
pytest ------------------------------ 124.68 KiB/335.58 KiB
greenlet ------------------------------ 174.76 KiB/589.71 KiB
pyright ------------------------------ 222.91 KiB/5.31 MiB
ruff ------------------------------ 463.83 KiB/11.02 MiB
duckdb ------------------------------ 573.61 KiB/19.27 MiB
playwright ------------------------------ 48.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 92.25 KiB/125.66 KiB
jinja2 ------------------------------ 125.98 KiB/131.74 KiB
werkzeug ------------------------------ 108.62 KiB/219.24 KiB
python-dateutil ------------------------------ 188.30 KiB/224.50 KiB
pytest ------------------------------ 124.68 KiB/335.58 KiB
greenlet ------------------------------ 174.76 KiB/589.71 KiB
pyright ------------------------------ 222.91 KiB/5.31 MiB
ruff ------------------------------ 463.83 KiB/11.02 MiB
duckdb ------------------------------ 573.61 KiB/19.27 MiB
playwright ------------------------------ 48.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
flask ------------------------------ 100.88 KiB/100.88 KiB
urllib3 ------------------------------ 92.25 KiB/125.66 KiB
jinja2 ------------------------------ 131.74 KiB/131.74 KiB
werkzeug ------------------------------ 124.62 KiB/219.24 KiB
python-dateutil ------------------------------ 220.30 KiB/224.50 KiB
pytest ------------------------------ 172.68 KiB/335.58 KiB
greenlet ------------------------------ 286.76 KiB/589.71 KiB
pyright ------------------------------ 334.91 KiB/5.31 MiB
ruff ------------------------------ 575.83 KiB/11.02 MiB
duckdb ------------------------------ 685.61 KiB/19.27 MiB
playwright ------------------------------ 63.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
flask ------------------------------ 100.88 KiB/100.88 KiB
urllib3 ------------------------------ 108.25 KiB/125.66 KiB
werkzeug ------------------------------ 140.62 KiB/219.24 KiB
python-dateutil ------------------------------ 224.50 KiB/224.50 KiB
pytest ------------------------------ 188.68 KiB/335.58 KiB
greenlet ------------------------------ 382.76 KiB/589.71 KiB
pyright ------------------------------ 424.56 KiB/5.31 MiB
ruff ------------------------------ 671.83 KiB/11.02 MiB
duckdb ------------------------------ 765.61 KiB/19.27 MiB
playwright ------------------------------ 63.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
urllib3 ------------------------------ 108.25 KiB/125.66 KiB
werkzeug ------------------------------ 140.62 KiB/219.24 KiB
python-dateutil ------------------------------ 224.50 KiB/224.50 KiB
pytest ------------------------------ 188.68 KiB/335.58 KiB
greenlet ------------------------------ 414.76 KiB/589.71 KiB
pyright ------------------------------ 456.56 KiB/5.31 MiB
ruff ------------------------------ 703.83 KiB/11.02 MiB
duckdb ------------------------------ 797.61 KiB/19.27 MiB
playwright ------------------------------ 63.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
urllib3 ------------------------------ 108.25 KiB/125.66 KiB
werkzeug ------------------------------ 140.62 KiB/219.24 KiB
pytest ------------------------------ 188.68 KiB/335.58 KiB
greenlet ------------------------------ 446.76 KiB/589.71 KiB
pyright ------------------------------ 488.56 KiB/5.31 MiB
ruff ------------------------------ 735.83 KiB/11.02 MiB
duckdb ------------------------------ 829.61 KiB/19.27 MiB
playwright ------------------------------ 79.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
urllib3 ------------------------------ 125.66 KiB/125.66 KiB
werkzeug ------------------------------ 140.62 KiB/219.24 KiB
pytest ------------------------------ 204.68 KiB/335.58 KiB
greenlet ------------------------------ 462.76 KiB/589.71 KiB
pyright ------------------------------ 536.56 KiB/5.31 MiB
ruff ------------------------------ 799.83 KiB/11.02 MiB
duckdb ------------------------------ 893.61 KiB/19.27 MiB
playwright ------------------------------ 79.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
werkzeug ------------------------------ 156.62 KiB/219.24 KiB
pytest ------------------------------ 220.68 KiB/335.58 KiB
greenlet ------------------------------ 478.76 KiB/589.71 KiB
pyright ------------------------------ 744.56 KiB/5.31 MiB
ruff ------------------------------ 1007.83 KiB/11.02 MiB
duckdb ------------------------------ 1.06 MiB/19.27 MiB
playwright ------------------------------ 95.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
werkzeug ------------------------------ 156.62 KiB/219.24 KiB
pytest ------------------------------ 220.68 KiB/335.58 KiB
greenlet ------------------------------ 478.76 KiB/589.71 KiB
pyright ------------------------------ 840.56 KiB/5.31 MiB
ruff ------------------------------ 1.08 MiB/11.02 MiB
duckdb ------------------------------ 1.13 MiB/19.27 MiB
playwright ------------------------------ 111.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
werkzeug ------------------------------ 219.24 KiB/219.24 KiB
pytest ------------------------------ 316.68 KiB/335.58 KiB
greenlet ------------------------------ 494.76 KiB/589.71 KiB
pyright ------------------------------ 1.33 MiB/5.31 MiB
ruff ------------------------------ 1.62 MiB/11.02 MiB
duckdb ------------------------------ 1.68 MiB/19.27 MiB
playwright ------------------------------ 255.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (16/33)
pytest ------------------------------ 316.68 KiB/335.58 KiB
greenlet ------------------------------ 494.76 KiB/589.71 KiB
pyright ------------------------------ 1.33 MiB/5.31 MiB
ruff ------------------------------ 1.62 MiB/11.02 MiB
duckdb ------------------------------ 1.68 MiB/19.27 MiB
playwright ------------------------------ 255.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (26/33)
greenlet ------------------------------ 542.76 KiB/589.71 KiB
pyright ------------------------------ 1.70 MiB/5.31 MiB
ruff ------------------------------ 2.13 MiB/11.02 MiB
duckdb ------------------------------ 2.20 MiB/19.27 MiB
playwright ------------------------------ 799.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (26/33)
greenlet ------------------------------ 542.76 KiB/589.71 KiB
pyright ------------------------------ 1.78 MiB/5.31 MiB
ruff ------------------------------ 2.21 MiB/11.02 MiB
duckdb ------------------------------ 2.27 MiB/19.27 MiB
playwright ------------------------------ 879.77 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (26/33)
greenlet ------------------------------ 589.71 KiB/589.71 KiB
pyright ------------------------------ 1.80 MiB/5.31 MiB
ruff ------------------------------ 2.92 MiB/11.02 MiB
duckdb ------------------------------ 2.97 MiB/19.27 MiB
playwright ------------------------------ 1.58 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (26/33)
pyright ------------------------------ 1.81 MiB/5.31 MiB
ruff ------------------------------ 3.18 MiB/11.02 MiB
duckdb ------------------------------ 3.22 MiB/19.27 MiB
playwright ------------------------------ 1.83 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (26/33)
pyright ------------------------------ 1.81 MiB/5.31 MiB
ruff ------------------------------ 3.49 MiB/11.02 MiB
duckdb ------------------------------ 3.51 MiB/19.27 MiB
playwright ------------------------------ 2.15 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (26/33)
pyright ------------------------------ 1.86 MiB/5.31 MiB
ruff ------------------------------ 4.23 MiB/11.02 MiB
duckdb ------------------------------ 4.23 MiB/19.27 MiB
playwright ------------------------------ 2.86 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠴ Preparing packages... (28/33)
pyright ------------------------------ 1.89 MiB/5.31 MiB
ruff ------------------------------ 4.87 MiB/11.02 MiB
duckdb ------------------------------ 4.90 MiB/19.27 MiB
playwright ------------------------------ 3.51 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠴ Preparing packages... (28/33)
pyright ------------------------------ 1.92 MiB/5.31 MiB
ruff ------------------------------ 5.42 MiB/11.02 MiB
duckdb ------------------------------ 5.42 MiB/19.27 MiB
playwright ------------------------------ 4.06 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠴ Preparing packages... (28/33)
pyright ------------------------------ 1.95 MiB/5.31 MiB
ruff ------------------------------ 6.22 MiB/11.02 MiB
duckdb ------------------------------ 6.22 MiB/19.27 MiB
playwright ------------------------------ 4.86 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠴ Preparing packages... (28/33)
pyright ------------------------------ 1.99 MiB/5.31 MiB
ruff ------------------------------ 6.94 MiB/11.02 MiB
duckdb ------------------------------ 6.97 MiB/19.27 MiB
playwright ------------------------------ 5.58 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠦ Preparing packages... (28/33)
pyright ------------------------------ 2.02 MiB/5.31 MiB
ruff ------------------------------ 7.52 MiB/11.02 MiB
duckdb ------------------------------ 7.55 MiB/19.27 MiB
playwright ------------------------------ 6.16 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠦ Preparing packages... (28/33)
pyright ------------------------------ 2.05 MiB/5.31 MiB
ruff ------------------------------ 8.25 MiB/11.02 MiB
duckdb ------------------------------ 8.25 MiB/19.27 MiB
playwright ------------------------------ 6.86 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠦ Preparing packages... (28/33)
pyright ------------------------------ 2.08 MiB/5.31 MiB
ruff ------------------------------ 8.96 MiB/11.02 MiB
duckdb ------------------------------ 8.97 MiB/19.27 MiB
playwright ------------------------------ 7.58 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠦ Preparing packages... (28/33)
pyright ------------------------------ 2.11 MiB/5.31 MiB
ruff ------------------------------ 9.67 MiB/11.02 MiB
duckdb ------------------------------ 9.70 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 ------------------------------ 10.37 MiB/11.02 MiB
duckdb ------------------------------ 10.41 MiB/19.27 MiB
playwright ------------------------------ 9.03 MiB/43.05 MiB
Built scubaduck @ file:///workspace/scubaduck
⠧ Preparing packages... (28/33)
pyright ------------------------------ 2.12 MiB/5.31 MiB
ruff ------------------------------ 10.39 MiB/11.02 MiB
duckdb ------------------------------ 10.42 MiB/19.27 MiB
playwright ------------------------------ 9.03 MiB/43.05 MiB
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pyright ------------------------------ 2.14 MiB/5.31 MiB
duckdb ------------------------------ 11.14 MiB/19.27 MiB
playwright ------------------------------ 9.73 MiB/43.05 MiB
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pyright ------------------------------ 2.14 MiB/5.31 MiB
duckdb ------------------------------ 11.25 MiB/19.27 MiB
playwright ------------------------------ 9.84 MiB/43.05 MiB
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pyright ------------------------------ 2.16 MiB/5.31 MiB
duckdb ------------------------------ 12.36 MiB/19.27 MiB
playwright ------------------------------ 11.00 MiB/43.05 MiB
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pyright ------------------------------ 2.17 MiB/5.31 MiB
duckdb ------------------------------ 13.59 MiB/19.27 MiB
playwright ------------------------------ 12.19 MiB/43.05 MiB
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pyright ------------------------------ 2.19 MiB/5.31 MiB
duckdb ------------------------------ 14.84 MiB/19.27 MiB
playwright ------------------------------ 13.48 MiB/43.05 MiB
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pyright ------------------------------ 2.20 MiB/5.31 MiB
duckdb ------------------------------ 16.02 MiB/19.27 MiB
playwright ------------------------------ 14.67 MiB/43.05 MiB
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pyright ------------------------------ 2.23 MiB/5.31 MiB
duckdb ------------------------------ 17.27 MiB/19.27 MiB
playwright ------------------------------ 15.92 MiB/43.05 MiB
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pyright ------------------------------ 2.25 MiB/5.31 MiB
duckdb ------------------------------ 18.39 MiB/19.27 MiB
playwright ------------------------------ 17.03 MiB/43.05 MiB
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pyright ------------------------------ 2.25 MiB/5.31 MiB
duckdb ------------------------------ 19.20 MiB/19.27 MiB
playwright ------------------------------ 18.39 MiB/43.05 MiB
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pyright ------------------------------ 2.28 MiB/5.31 MiB
playwright ------------------------------ 19.58 MiB/43.05 MiB
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pyright ------------------------------ 2.30 MiB/5.31 MiB
playwright ------------------------------ 19.91 MiB/43.05 MiB
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pyright ------------------------------ 2.37 MiB/5.31 MiB
playwright ------------------------------ 22.09 MiB/43.05 MiB
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pyright ------------------------------ 2.41 MiB/5.31 MiB
playwright ------------------------------ 24.44 MiB/43.05 MiB
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playwright ------------------------------ 26.84 MiB/43.05 MiB
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pyright ------------------------------ 2.47 MiB/5.31 MiB
playwright ------------------------------ 31.89 MiB/43.05 MiB
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pyright ------------------------------ 2.51 MiB/5.31 MiB
playwright ------------------------------ 34.25 MiB/43.05 MiB
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playwright ------------------------------ 36.25 MiB/43.05 MiB
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pyright ------------------------------ 2.61 MiB/5.31 MiB
playwright ------------------------------ 37.99 MiB/43.05 MiB
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pyright ------------------------------ 2.67 MiB/5.31 MiB
playwright ------------------------------ 39.72 MiB/43.05 MiB
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pyright ------------------------------ 2.72 MiB/5.31 MiB
playwright ------------------------------ 41.00 MiB/43.05 MiB
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pyright ------------------------------ 2.80 MiB/5.31 MiB
playwright ------------------------------ 41.53 MiB/43.05 MiB
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pyright ------------------------------ 2.84 MiB/5.31 MiB
playwright ------------------------------ 43.03 MiB/43.05 MiB
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pyright ------------------------------ 4.95 MiB/5.31 MiB
⠴ Preparing packages... (32/33)
Prepared 33 packages in 2.80s
░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels...
░░░░░░░░░░░░░░░░░░░░ [0/33] Installing wheels...
░░░░░░░░░░░░░░░░░░░░ [0/33] itsdangerous==2.2.0
░░░░░░░░░░░░░░░░░░░░ [1/33] itsdangerous==2.2.0
░░░░░░░░░░░░░░░░░░░░ [1/33] pytest-base-url==2.1.0
█░░░░░░░░░░░░░░░░░░░ [2/33] pytest-base-url==2.1.0
█░░░░░░░░░░░░░░░░░░░ [2/33] click==8.2.0
█░░░░░░░░░░░░░░░░░░░ [3/33] click==8.2.0
█░░░░░░░░░░░░░░░░░░░ [3/33] markupsafe==3.0.2
██░░░░░░░░░░░░░░░░░░ [4/33] markupsafe==3.0.2
██░░░░░░░░░░░░░░░░░░ [4/33] six==1.17.0
███░░░░░░░░░░░░░░░░░ [5/33] six==1.17.0
███░░░░░░░░░░░░░░░░░ [5/33] urllib3==2.4.0
███░░░░░░░░░░░░░░░░░ [6/33] urllib3==2.4.0
███░░░░░░░░░░░░░░░░░ [6/33] execnet==2.1.1
████░░░░░░░░░░░░░░░░ [7/33] execnet==2.1.1
████░░░░░░░░░░░░░░░░ [7/33] typing-extensions==4.13.2
████░░░░░░░░░░░░░░░░ [8/33] typing-extensions==4.13.2
████░░░░░░░░░░░░░░░░ [8/33] python-slugify==8.0.4
█████░░░░░░░░░░░░░░░ [9/33] python-slugify==8.0.4
███████████████████░ [32/33] pyright==1.1.400
████████████████████ [33/33] pyright==1.1.400
Installed 33 packages in 108ms
+ 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/WJIePE-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% 34.3s167.7 MiB [] 0% 20.7s167.7 MiB [] 0% 15.4s167.7 MiB [] 0% 9.7s167.7 MiB [] 1% 8.0s167.7 MiB [] 1% 6.0s167.7 MiB [] 2% 5.1s167.7 MiB [] 3% 3.6s167.7 MiB [] 4% 3.0s167.7 MiB [] 5% 3.0s167.7 MiB [] 6% 3.0s167.7 MiB [] 6% 2.8s167.7 MiB [] 7% 2.7s167.7 MiB [] 8% 2.5s167.7 MiB [] 9% 2.4s167.7 MiB [] 10% 2.2s167.7 MiB [] 11% 2.1s167.7 MiB [] 13% 2.0s167.7 MiB [] 14% 1.9s167.7 MiB [] 15% 1.9s167.7 MiB [] 16% 1.8s167.7 MiB [] 17% 1.8s167.7 MiB [] 18% 1.7s167.7 MiB [] 19% 1.7s167.7 MiB [] 20% 1.6s167.7 MiB [] 21% 1.6s167.7 MiB [] 23% 1.5s167.7 MiB [] 24% 1.5s167.7 MiB [] 25% 1.4s167.7 MiB [] 27% 1.4s167.7 MiB [] 29% 1.3s167.7 MiB [] 31% 1.2s167.7 MiB [] 32% 1.2s167.7 MiB [] 33% 1.1s167.7 MiB [] 35% 1.1s167.7 MiB [] 36% 1.1s167.7 MiB [] 37% 1.1s167.7 MiB [] 39% 1.0s167.7 MiB [] 40% 1.0s167.7 MiB [] 41% 1.0s167.7 MiB [] 43% 0.9s167.7 MiB [] 44% 0.9s167.7 MiB [] 45% 0.9s167.7 MiB [] 47% 0.8s167.7 MiB [] 48% 0.8s167.7 MiB [] 50% 0.8s167.7 MiB [] 52% 0.7s167.7 MiB [] 53% 0.7s167.7 MiB [] 55% 0.7s167.7 MiB [] 56% 0.7s167.7 MiB [] 58% 0.6s167.7 MiB [] 59% 0.6s167.7 MiB [] 60% 0.6s167.7 MiB [] 62% 0.6s167.7 MiB [] 63% 0.5s167.7 MiB [] 65% 0.5s167.7 MiB [] 66% 0.5s167.7 MiB [] 68% 0.5s167.7 MiB [] 69% 0.4s167.7 MiB [] 71% 0.4s167.7 MiB [] 72% 0.4s167.7 MiB [] 74% 0.4s167.7 MiB [] 75% 0.4s167.7 MiB [] 77% 0.3s167.7 MiB [] 78% 0.3s167.7 MiB [] 80% 0.3s167.7 MiB [] 81% 0.3s167.7 MiB [] 83% 0.2s167.7 MiB [] 84% 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 [] 97% 0.0s167.7 MiB [] 99% 0.0s167.7 MiB [] 100% 0.0s
Chromium 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium-1169
Downloading FFMPEG playwright build v1011 from https://cdn.playwright.dev/dbazure/download/playwright/builds/ffmpeg/1011/ffmpeg-linux.zip
2.3 MiB [] 0% 0.0s2.3 MiB [] 5% 0.4s2.3 MiB [] 15% 0.2s2.3 MiB [] 35% 0.1s2.3 MiB [] 73% 0.0s2.3 MiB [] 100% 0.0s
FFMPEG playwright build v1011 downloaded to /root/.cache/ms-playwright/ffmpeg-1011
Downloading Chromium Headless Shell 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-headless-shell-linux.zip
101.4 MiB [] 0% 0.0s101.4 MiB [] 0% 16.8s101.4 MiB [] 0% 10.3s101.4 MiB [] 0% 6.2s101.4 MiB [] 1% 4.4s101.4 MiB [] 2% 3.0s101.4 MiB [] 4% 2.0s101.4 MiB [] 6% 1.8s101.4 MiB [] 7% 1.7s101.4 MiB [] 8% 1.6s101.4 MiB [] 10% 1.5s101.4 MiB [] 11% 1.5s101.4 MiB [] 12% 1.4s101.4 MiB [] 15% 1.2s101.4 MiB [] 16% 1.2s101.4 MiB [] 18% 1.1s101.4 MiB [] 21% 1.0s101.4 MiB [] 23% 0.9s101.4 MiB [] 24% 0.9s101.4 MiB [] 27% 0.9s101.4 MiB [] 29% 0.8s101.4 MiB [] 31% 0.8s101.4 MiB [] 35% 0.7s101.4 MiB [] 37% 0.6s101.4 MiB [] 40% 0.6s101.4 MiB [] 43% 0.5s101.4 MiB [] 45% 0.5s101.4 MiB [] 48% 0.5s101.4 MiB [] 51% 0.4s101.4 MiB [] 55% 0.4s101.4 MiB [] 59% 0.3s101.4 MiB [] 63% 0.3s101.4 MiB [] 66% 0.3s101.4 MiB [] 70% 0.2s101.4 MiB [] 73% 0.2s101.4 MiB [] 77% 0.2s101.4 MiB [] 80% 0.1s101.4 MiB [] 84% 0.1s101.4 MiB [] 88% 0.1s101.4 MiB [] 91% 0.1s101.4 MiB [] 94% 0.0s101.4 MiB [] 97% 0.0s101.4 MiB [] 99% 0.0s101.4 MiB [] 100% 0.0s
Chromium Headless Shell 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium_headless_shell-1169
++ echo 'source .venv/bin/activate'I'll check the AGENTS.md file in the repo root.
bash: .venv/bin/activate: No such file or directory
root@72b13f1ff2f4:/workspace# ls
scubaduckroot@72b13f1ff2f4:/workspace# cd scubaduck
root@72b13f1ff2f4:/workspace/scubaduck# ls
AGENTS.md codex_setup.sh scubaduck tests
README.md pyproject.toml stubs uv.lockroot@72b13f1ff2f4:/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.pyI’ll run 'source .venv/bin/activate' to activate the virtual environment before commands.
root@72b13f1ff2f4:/workspace/scubaduck# source .venv/bin/activate
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll take a look at the README to find any instructions.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ls
AGENTS.md codex_setup.sh scubaduck tests
README.md pyproject.toml stubs uv.lock(scubaduck) root@72b13f1ff2f4:/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.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'm looking for additional instructions, scrolling down to find more details.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '80,160p' README.md
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I think the README might be done, but I'll confirm by looking at the end.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# tail -n 20 README.md
* 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.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll check the scubaduck directory for a possible frontend related to the user's request.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ls scubaduck
__init__.py sample.csv server.py static(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1,160p' scubaduck/se
rver.py
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Dict, List, Tuple
import re
from datetime import datetime, timedelta, timezone
import time
from pathlib import Path
import sqlite3
import traceback
import duckdb
from dateutil import parser as dtparser
from flask import Flask, jsonify, request, send_from_directory
@dataclass
class Filter:
column: str
op: str
value: str | int | float | list[str] | None
@dataclass
class QueryParams:
start: str | None = None
end: str | None = None
order_by: str | None = None
order_dir: str = "ASC"
limit: int | None = None
columns: list[str] = field(default_factory=lambda: [])
filters: list[Filter] = field(default_factory=lambda: [])
derived_columns: dict[str, str] = field(default_factory=lambda: {})
graph_type: str = "samples"
group_by: list[str] = field(default_factory=lambda: [])
aggregate: str | None = None
show_hits: bool = False
x_axis: str | None = None
granularity: str = "Auto"
fill: str = "0"
def _load_database(path: Path) -> duckdb.DuckDBPyConnection:
ext = path.suffix.lower()
if ext == ".csv":
con = duckdb.connect()
con.execute(
f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{path.as_posix
()}')"
)
elif ext in {".db", ".sqlite"}:
con = duckdb.connect()
sconn = sqlite3.connect(path)
info = sconn.execute("PRAGMA table_info(events)").fetchall()
col_defs = ", ".join(f"{r[1]} {r[2]}" for r in info)
con.execute(f"CREATE TABLE events ({col_defs})")
placeholders = ",".join("?" for _ in info)
for row in sconn.execute("SELECT * FROM events"):
con.execute(f"INSERT INTO events VALUES ({placeholders})", row)
sconn.close()
else:
con = duckdb.connect(path)
return con
_REL_RE = re.compile(
r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortnight
s)",
re.IGNORECASE,
)
def parse_time(val: str | None) -> str | None:
"""Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``.""
"
if val is None or val == "":
return None
s = val.strip()
if s.lower() == "now":
dt = datetime.now(timezone.utc)
return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S")
m = _REL_RE.fullmatch(s)
if m:
qty = float(m.group(1))
unit = m.group(2).lower()
delta: timedelta
if unit.startswith("hour"):
delta = timedelta(hours=qty)
elif unit.startswith("day"):
delta = timedelta(days=qty)
elif unit.startswith("week"):
delta = timedelta(weeks=qty)
elif unit.startswith("fortnight"):
delta = timedelta(weeks=2 * qty)
else: # pragma: no cover - defensive
raise ValueError(f"Unsupported unit: {unit}")
dt = datetime.now(timezone.utc) + delta
return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S")
dt = dtparser.parse(s)
return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H:%M:%S")
def _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 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 "timestamp"
bucket_expr = (
f"TIMESTAMP 'epoch' + INTERVAL '{sec} second' * "
f"CAST(floor(epoch({x_axis})/{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(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '160,320p' scubaduck/
server.py
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)
for name, expr in params.derived_columns.items():
select_parts.append(f"{expr} AS {name}")
select_clause = ", ".join(select_parts) if select_parts else "*"
query = f"SELECT {select_clause} FROM events"
where_parts: list[str] = []
if params.start:
where_parts.append(f"timestamp >= '{params.start}'")
if params.end:
where_parts.append(f"timestamp <= '{params.end}'")
for f in params.filters:
op = f.op
if op in {"empty", "!empty"}:
val = "''"
else:
if f.value is None:
continue
if isinstance(f.value, list):
if not f.value:
continue
if op == "=":
vals = " OR ".join(f"{f.column} = '{v}'" for v in f.value)
where_parts.append(f"({vals})")
continue
val = f"'{f.value}'" if isinstance(f.value, str) else str(f.value)
if op == "contains":
where_parts.append(f"{f.column} ILIKE '%' || {val} || '%'")
elif op == "!contains":
where_parts.append(f"{f.column} NOT ILIKE '%' || {val} || '%'")
elif op == "empty":
where_parts.append(f"{f.column} = {val}")
elif op == "!empty":
where_parts.append(f"{f.column} != {val}")
else:
where_parts.append(f"{f.column} {op} {val}")
if where_parts:
query += " WHERE " + " AND ".join(where_parts)
if group_cols:
query += " GROUP BY " + ", ".join(group_cols)
if params.order_by:
query += f" ORDER BY {params.order_by} {params.order_dir}"
elif params.graph_type == "timeseries":
query += " ORDER BY bucket"
if params.limit is not None:
query += f" LIMIT {params.limit}"
return query
def create_app(db_file: str | Path | None = None) -> Flask:
app = Flask(__name__, static_folder="static")
db_path = Path(db_file or Path(__file__).with_name("sample.csv")).resolve()
con = _load_database(db_path)
column_types: Dict[str, str] = {
r[1]: r[2] for r in con.execute("PRAGMA table_info(events)").fetchall()
}
sample_cache: Dict[Tuple[str, str], Tuple[List[str], float]] = {}
CACHE_TTL = 60.0
CACHE_LIMIT = 200
@app.route("/")
def index() -> Any: # pyright: ignore[reportUnusedFunction]
assert app.static_folder is not None
return send_from_directory(app.static_folder, "index.html")
@app.route("/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/columns")
def columns() -> Any: # pyright: ignore[reportUnusedFunction]
rows = con.execute("PRAGMA table_info(events)").fetchall()
return jsonify([{"name": r[1], "type": r[2]} for r in rows])
def _cache_get(key: Tuple[str, str]) -> List[str] | None:
item = sample_cache.get(key)
if item is None:
return None
vals, ts = item
if time.time() - ts > CACHE_TTL:
del sample_cache[key]
return None
sample_cache[key] = (vals, time.time())
return vals
def _cache_set(key: Tuple[str, str], vals: List[str]) -> None:
sample_cache[key] = (vals, time.time())
if len(sample_cache) > CACHE_LIMIT:
oldest = min(sample_cache.items(), key=lambda kv: kv[1][1])[0]
del sample_cache[oldest]
@app.route("/api/samples")
def sample_values() -> Any: # pyright: ignore[reportUnusedFunction]
column = request.args.get("column")
substr = request.args.get("q", "")
if not column or column not in column_types:
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 = (column, substr)
cached = _cache_get(key)
if cached is not None:
return jsonify(cached)
rows = con.execute(
f"SELECT DISTINCT {column} FROM events WHERE CAST({column} AS VARCHA
R) 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"),
)
for f in payload.get("filters", []):(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '320,640p' scubaduck/
server.py
for f in payload.get("filters", []):
params.filters.append(Filter(f["column"], f["op"], f.get("value")))
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:
for cand in ["time", "timestamp"]:
if cand in valid_cols:
params.x_axis = cand
break
if params.x_axis is None or params.x_axis not in valid_cols:
return jsonify({"error": "Invalid x_axis"}), 400
ctype = column_types.get(params.x_axis, "").upper()
if not any(t in ctype for t in ["TIMESTAMP", "DATE", "TIME"]):
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:
return jsonify({"error": f"Unknown column: {col}"}), 400
if params.order_by and params.order_by not in valid_cols:
return jsonify({"error": f"Unknown column: {params.order_by}"}), 400
if params.group_by 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,
)
sql = build_query(params, column_types)
try:
rows = con.execute(sql).fetchall()
except Exception as exc:
tb = traceback.format_exc()
print(f"Query failed:\n{sql}\n{tb}")
return (
jsonify({"sql": sql, "error": str(exc), "traceback": tb}),
400,
)
return jsonify({"sql": sql, "rows": rows})
return app
app = create_app()
if __name__ == "__main__":
app.run(debug=True)
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’ll check the static folder to see what it includes.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ls scubaduck/static
index.html js(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1,200p' scubaduck/st
atic/index.html
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ScubaDuck</title>
<style>
body { margin: 0; font-family: sans-serif; height: 100vh; display: flex; fle
x-direction: column; }
#header { padding: 10px; font-weight: bold; border-bottom: 1px solid #ccc; }
#content { flex: 1; display: flex; height: calc(100vh - 42px); overflow: hid
den; }
#sidebar { width: 450px; padding: 10px; border-right: 3px solid #ccc; overfl
ow-y: auto; display: flex; flex-direction: column; box-sizing: border-box; }
#sidebar-resizer { width: 5px; cursor: col-resize; background: #ccc; }
#view { flex: 1; padding: 10px; overflow-y: auto; overflow-x: auto; }
.field { display: flex; align-items: center; margin-bottom: 10px; }
.field label { width: 80px; text-align: right; margin-right: 5px; }
.help { margin-left: 4px; cursor: help; }
.rel-btn { margin-left: 4px; }
#tabs { display: flex; align-items: center; margin-bottom: 10px; }
#tabs .tab { margin-right: 5px; background: none; border: 1px solid #ccc; pa
dding: 4px 8px; cursor: pointer; width: 120px; text-align: center; box-sizing: b
order-box; }
#tabs .tab.active { background: #eee; font-weight: bold; }
#dive { margin-left: auto; background: green; color: white; border: none; pa
dding: 5px 10px; cursor: pointer; }
.tab-content { display: none; }
.tab-content.active { display: block; }
#filter_list { display: flex; flex-direction: column; }
#filters .filter {
border: 1px solid #ccc;
padding: 5px;
margin-bottom: 5px;
position: relative;
display: flex;
flex-direction: column;
}
#derived_columns .derived {
border: 1px solid #ccc;
padding: 5px;
margin-bottom: 5px;
display: flex;
flex-direction: column;
}
#derived_columns .derived-row {
display: flex;
margin-bottom: 5px;
}
#derived_columns .derived-row input[type="text"] {
margin-left: 5px;
flex: 1;
}
#derived_columns textarea {
width: 100%;
box-sizing: border-box;
}
#filters .filter-row { display: flex; margin-bottom: 5px; }
#filters .filter-row .f-col { flex: 1; }
#filters .filter-row .f-op {
margin-left: 5px;
width: fit-content;
flex: 0 0 auto;
}
.chip-input input {
border: none;
flex: 1;
min-width: 60px;
margin: 2px;
outline: none;
}
.chip-box { position: relative; }
.chip-input { display: flex; flex-wrap: wrap; border: 1px solid #ccc; paddin
g: 2px; min-height: 24px; }
.chip { background: #eee; border: 1px solid #999; padding: 2px 4px; margin:
2px; border-radius: 3px; display: flex; align-items: center; }
.chip .x { margin-left: 4px; cursor: pointer; }
.chip-copy { margin-left: 4px; cursor: pointer; background: none; border: no
ne; }
.chip-dropdown { position: absolute; left: 0; right: 0; top: 100%; backgroun
d: white; border: 1px solid #ccc; max-height: 120px; overflow-y: auto; z-index:
10; display: none; }
.chip-dropdown div { padding: 2px 4px; cursor: pointer; }
.chip-dropdown div.highlight { background: #bde4ff; }
.rel-box { position: relative; display: flex; }
.rel-dropdown { position: absolute; left: 0; right: 0; top: 100%; background
: white; border: 1px solid #ccc; z-index: 10; display: none; }
.rel-dropdown div { padding: 2px 4px; cursor: pointer; }
.rel-dropdown div:hover { background: #bde4ff; }
.dropdown { position: relative; display: inline-block; }
.dropdown-display {
border: 1px solid #ccc;
padding: 2px 18px 2px 4px;
cursor: pointer;
min-width: 80px;
position: relative;
}
.dropdown-display::after {
content: '\25BC';
position: absolute;
right: 4px;
pointer-events: none;
}
.dropdown-menu { position: absolute; left: 0; right: 0; top: 100%; backgroun
d: white; border: 1px solid #ccc; z-index: 10; max-height: 160px; overflow-y: au
to; display: none; }
.dropdown-menu input { width: 100%; box-sizing: border-box; padding: 2px 4px
; border: none; border-bottom: 1px solid #ccc; }
.dropdown-menu div { padding: 2px 4px; cursor: pointer; }
.dropdown-menu div.selected { background: #bde4ff; }
.dropdown-menu .option:hover { background: #eee; }
.dropdown-menu input::placeholder { color: #999; }
#filters .filter button.remove {
margin-left: 5px;
width: 20px;
flex: 0 0 auto;
padding: 0;
text-align: center;
line-height: 1;
}
#filters h4 { margin: 0 0 5px 0; }
table { border-collapse: collapse; min-width: 100%; }
th, td { border: 1px solid #ccc; padding: 4px; box-sizing: border-box; }
th { text-align: left; cursor: pointer; position: relative; }
th.sorted { color: blue; }
tr:nth-child(even) td { background: #f9f9f9; }
tr.selected td { background: #bde4ff !important; }
tr:hover:not(.selected) td { background: #eee; }
#column_actions {
text-align: right;
margin-bottom: 5px;
}
#column_actions a {
margin-left: 5px;
}
.col-group-header {
overflow: hidden;
}
.col-group-header .links {
float: right;
}
.col-group-header .links a {
margin-left: 5px;
}
/* Column resizer removed */
</style>
</head>
<body>
<div id="header">sample.csv - events <select id="graph_type"><option value="sa
mples">Samples</option><option value="table">Table</option><option value="timese
ries">Time Series</option></select></div>
<div id="content">
<div id="sidebar">
<div id="tabs">
<button class="tab active" data-tab="settings">View Settings</button>
<button class="tab" data-tab="columns">Columns</button>
<button id="dive" onclick="dive()">Dive</button>
</div>
<div id="settings" class="tab-content active">
<div class="field">
<label>Start<span class="help" title="Sets the start/end of the time r
ange to query. Can be any kind of datetime string. For example: 'April 23, 2014'
or 'yesterday'.">[?]</span></label>
<div class="rel-box">
<input id="start" type="text" />
<button type="button" class="rel-btn" data-target="start-select">	
660;</button>
<div id="start-select" class="rel-dropdown" data-input="start">
<div data-value="-1 hour">-1 hour</div>
<div data-value="-3 hours">-3 hours</div>
<div data-value="-12 hours">-12 hours</div>
<div data-value="-1 day">-1 day</div>
<div data-value="-3 days">-3 days</div>
<div data-value="-1 week">-1 week</div>
<div data-value="-1 fortnight">-1 fortnight</div>
<div data-value="-30 days">-30 days</div>
<div data-value="-90 days">-90 days</div>
</div>
</div>
</div>
<div class="field">
<label>End<span class="help" title="Sets the start/end of the time ran
ge to query. Can be any kind of datetime string. For example: 'April 23, 2014' o
r 'yesterday'.">[?]</span></label>
<div class="rel-box">
<input id="end" type="text" />
<button type="button" class="rel-btn" data-target="end-select">φ
0;</button>
<div id="end-select" class="rel-dropdown" data-input="end">
<div data-value="now">now</div>
<div data-value="-1 hour">-1 hour</div>
<div data-value="-3 hours">-3 hours</div>
<div data-value="-12 hours">-12 hours</div>
<div data-value="-1 day">-1 day</div>
<div data-value="-3 days">-3 days</div>
<div data-value="-1 week">-1 week</div>
<div data-value="-1 fortnight">-1 fortnight</div>
<div data-value="-30 days">-30 days</div>
<div data-value="-90 days">-90 days</div>
</div>
</div>
</div>
<div class="field">
<label>Order By<span class="help" title="Choose a column to sort resul
ts by.">[?]</span></label>
<select id="order_by"></select>
<button id="order_dir" type="button">ASC \u25B2</button>
</div>
<div class="field">
<label>Limit<span class="help" title="Choose the maximum number of res
ults to show in the chart after any aggregations have been applied. For example,
a limit of 10 will show no more than 10 rows for a table, etc.">[?]</span></lab
el>
<input id="limit" type="number" value="100" />
</div>
<div id="x_axis_field" class="field" style="display:none;">
<label>X-axis</label>
<select id="x_axis"></select>
</div>
<div id="granularity_field" class="field" style="display:none;">
<label>Granularity</label>
<select id="granularity">
<option>Auto</option>
<option>Fine</option>
<option>1 second</option>
<option>5 seconds</option>
<option>10 seconds</option>
<option>30 seconds</option>
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#The script's likely at the bottom since the HTML is lengthy.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "function" -n scubad
uck/static/index.html | head
299:function initDropdown(select) {
310: function updateDisplay() {
325: function close() {
329: function open() {
349: function renderOptions() {
393:function startSidebarDrag(e) {
399:function onSidebarDrag(e) {
404:function stopSidebarDrag() {
414:function updateOrderDirButton() {
418:function updateDisplayTypeUI() {
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll check the area where the chart is being drawn.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "dive" -n scubaduck/
static/index.html
20: #dive { margin-left: auto; background: green; color: white; border: none;
padding: 5px 10px; cursor: pointer; }
139: <button id="dive" onclick="dive()">Dive</button>
793:function dive(push=true) {
974: dive(false);
980: dive(false);
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll begin by looking at lines starting from around line 740 onwards.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '720,820p' scubaduck/
static/index.html
if (!isStringColumn(col)) return [];
return fetch(`/api/samples?column=${encodeURIComponent(col)}&q=${encodeURICo
mponent(typed)}`)
.then(r => r.json());
});
}
function nextDerivedName() {
let n = 1;
while (true) {
const name = `derived_${n}`;
if (!derivedColumns.some(d => d.name === name) && !allColumns.includes(name)
) return name;
n++;
}
}
function addDerived(data = {}) {
const container = document.createElement('div');
container.className = 'derived';
container.innerHTML = `
<div class="derived-row">
<select class="d-type">
<option value="aggregated">Aggregated</option>
<option value="string">String</option>
<option value="numeric">Numeric</option>
</select>
<input class="d-name" type="text">
</div>
<label><input type="checkbox" class="d-use" checked> Include in Query</label
>
<textarea class="d-expr" rows="2"></textarea>
`;
document.getElementById('derived_list').appendChild(container);
const obj = {
type: data.type || 'string',
name: data.name || nextDerivedName(),
expr: data.expr || '',
include: data.include !== undefined ? data.include : true,
el: container
};
container.querySelector('.d-type').value = obj.type;
container.querySelector('.d-name').value = obj.name;
container.querySelector('.d-expr').value = obj.expr;
container.querySelector('.d-use').checked = obj.include;
['change','input'].forEach(evt => {
container.addEventListener(evt, refreshDerivedColumns);
});
derivedColumns.push(obj);
refreshDerivedColumns();
}
function refreshDerivedColumns() {
allColumns.splice(0, allColumns.length, ...baseColumns);
stringColumns.splice(0, stringColumns.length, ...baseStringColumns);
integerColumns.splice(0, integerColumns.length, ...baseIntegerColumns);
timeColumns.splice(0, timeColumns.length, ...baseTimeColumns);
derivedColumns.forEach(d => {
d.type = d.el.querySelector('.d-type').value;
d.name = d.el.querySelector('.d-name').value;
d.expr = d.el.querySelector('.d-expr').value;
d.include = d.el.querySelector('.d-use').checked;
allColumns.push(d.name);
columnTypes[d.name] = d.type;
if (d.type === 'string') {
stringColumns.push(d.name);
} else {
integerColumns.push(d.name);
}
});
updateSelectedColumns();
}
let lastQueryTime = 0;
let queryStart = 0;
function dive(push=true) {
const params = collectParams();
if (push) {
history.pushState(params, '', paramsToSearch(params));
}
const payload = Object.assign({}, params);
const dcMap = {};
(params.derived_columns || []).forEach(d => {
if (d.include) dcMap[d.name] = d.expr;
});
payload.derived_columns = dcMap;
const view = document.getElementById('view');
view.innerHTML = '<p>Loading...</p>';
window.lastResults = undefined;
queryStart = performance.now();
fetch('/api/query', {method:'POST', headers:{'Content-Type':'application/json'
}, body:JSON.stringify(payload)})
.then(async r => {
const data = await r.json();
if (!r.ok) throw data;
return data;
})
.then(data => {
lastQueryTime = Math.round(performance.now() - queryStart);
showResults(data);
})
.catch(err => {
showError(err);
});(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '820,960p' scubaduck/
static/index.html
});
}
function collectParams() {
updateSelectedColumns();
const payload = {
start: document.getElementById('start').value,
end: document.getElementById('end').value,
order_by: document.getElementById('order_by').value,
order_dir: orderDir,
limit: parseInt(document.getElementById('limit').value, 10),
columns: selectedColumns.filter(c =>
c !== 'Hits' && !derivedColumns.some(dc => dc.name === c)
),
graph_type: graphTypeSel.value,
filters: Array.from(document.querySelectorAll('#filters .filter')).map(f =>
{
const chips = f.chips || [];
const op = f.querySelector('.f-op').value;
let value = null;
if (op !== 'empty' && op !== '!empty') {
value = chips.length === 0 ? null : (chips.length === 1 ? chips[0] : chi
ps);
}
const colSel = f.querySelector('.f-col select') || f.querySelector('.f-col
');
return {column: colSel.value, op, value};
}),
derived_columns: Array.from(document.querySelectorAll('#derived_list .derive
d')).map(d => ({
type: d.querySelector('.d-type').value,
name: d.querySelector('.d-name').value,
expr: d.querySelector('.d-expr').value,
include: d.querySelector('.d-use').checked,
}))
};
if (graphTypeSel.value === 'table' || graphTypeSel.value === 'timeseries') {
payload.group_by = groupBy.chips || [];
payload.aggregate = document.getElementById('aggregate').value;
payload.show_hits = document.getElementById('show_hits').checked;
}
if (graphTypeSel.value === 'timeseries') {
payload.x_axis = document.getElementById('x_axis').value;
payload.granularity = document.getElementById('granularity').value;
payload.fill = document.getElementById('fill').value;
}
return payload;
}
function paramsToSearch(params) {
const sp = new URLSearchParams();
if (params.start) sp.set('start', params.start);
if (params.end) sp.set('end', params.end);
if (params.order_by) sp.set('order_by', params.order_by);
if (params.order_dir) sp.set('order_dir', params.order_dir);
if (params.limit !== null && params.limit !== undefined) sp.set('limit', param
s.limit);
if (params.columns && params.columns.length) sp.set('columns', params.columns.
join(','));
if (params.filters && params.filters.length) sp.set('filters', JSON.stringify(
params.filters));
if (params.derived_columns && params.derived_columns.length) sp.set('derived_c
olumns', JSON.stringify(params.derived_columns));
if (params.graph_type) sp.set('graph_type', params.graph_type);
if (params.graph_type === 'table' || params.graph_type === 'timeseries') {
if (params.group_by && params.group_by.length) sp.set('group_by', params.gro
up_by.join(','));
if (params.aggregate) sp.set('aggregate', params.aggregate);
if (params.show_hits) sp.set('show_hits', '1');
}
if (params.graph_type === 'timeseries') {
if (params.x_axis) sp.set('x_axis', params.x_axis);
if (params.granularity) sp.set('granularity', params.granularity);
if (params.fill) sp.set('fill', params.fill);
}
const qs = sp.toString();
return qs ? '?' + qs : '';
}
function applyParams(params) {
document.getElementById('start').value = params.start || '';
document.getElementById('end').value = params.end || '';
if (params.order_by) {
document.getElementById('order_by').value = params.order_by;
}
orderDir = params.order_dir || 'ASC';
updateOrderDirButton();
if (params.limit !== undefined && params.limit !== null) {
document.getElementById('limit').value = params.limit;
}
graphTypeSel.value = params.graph_type || 'samples';
updateDisplayTypeUI();
if (params.x_axis) document.getElementById('x_axis').value = params.x_axis;
if (params.granularity) document.getElementById('granularity').value = params.
granularity;
if (params.fill) document.getElementById('fill').value = params.fill;
if (params.group_by) {
groupBy.chips.splice(0, groupBy.chips.length, ...params.group_by);
groupBy.renderChips();
}
if (params.aggregate) document.getElementById('aggregate').value = params.aggr
egate;
document.getElementById('show_hits').checked = params.show_hits ?? true;
document.querySelectorAll('#column_groups input').forEach(cb => {
cb.checked = !params.columns || params.columns.includes(cb.value);
});
updateSelectedColumns();
const dlist = document.getElementById('derived_list');
dlist.innerHTML = '';
derivedColumns.splice(0, derivedColumns.length);
if (params.derived_columns && params.derived_columns.length) {
params.derived_columns.forEach(dc => addDerived(dc));
}
refreshDerivedColumns();
const list = document.getElementById('filter_list');
list.innerHTML = '';
if (params.filters && params.filters.length) {
params.filters.forEach(f => {
addFilter();
const el = list.lastElementChild;
const colSel = el.querySelector('.f-col select') || el.querySelector('.f-c
ol');
colSel.value = f.column;
colSel.dispatchEvent(new Event('change'));
el.querySelector('.f-op').value = f.op;
el.querySelector('.f-op').dispatchEvent(new Event('change'));
if (f.value !== null && f.op !== 'empty' && f.op !== '!empty') {
const values = Array.isArray(f.value) ? f.value : [f.value];
values.forEach(v => el.addChip(v));
el.renderChips();
}
});
} else {
addFilter();
}
}
function parseSearch() {
const sp = new URLSearchParams(window.location.search);
const params = {};
if (sp.has('start')) params.start = sp.get('start');
if (sp.has('end')) params.end = sp.get('end');
if (sp.has('order_by')) params.order_by = sp.get('order_by');
if (sp.has('order_dir')) params.order_dir = sp.get('order_dir');
if (sp.has('limit')) params.limit = parseInt(sp.get('limit'), 10);
if (sp.has('columns')) params.columns = sp.get('columns').split(',').filter(c
=> c);
if (sp.has('filters')) {
try { params.filters = JSON.parse(sp.get('filters')); } catch(e) { params.fi
lters = []; }
}
if (sp.has('graph_type')) params.graph_type = sp.get('graph_type');
if (sp.has('group_by')) params.group_by = sp.get('group_by').split(',').filter
(c => c);
if (sp.has('aggregate')) params.aggregate = sp.get('aggregate');
if (sp.has('show_hits')) params.show_hits = sp.get('show_hits') === '1';(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '960,1120p' scubaduck
/static/index.html
if (sp.has('show_hits')) params.show_hits = sp.get('show_hits') === '1';
if (sp.has('x_axis')) params.x_axis = sp.get('x_axis');
if (sp.has('granularity')) params.granularity = sp.get('granularity');
if (sp.has('fill')) params.fill = sp.get('fill');
if (sp.has('derived_columns')) {
try { params.derived_columns = JSON.parse(sp.get('derived_columns')); } catc
h(e) { params.derived_columns = []; }
}
return params;
}
function initFromUrl() {
const params = parseSearch();
history.replaceState(params, '', paramsToSearch(params));
applyParams(params);
dive(false);
}
window.addEventListener('popstate', e => {
const params = e.state || parseSearch();
applyParams(params);
dive(false);
});
let originalRows = [];
let sortState = {index: null, dir: null};
function renderTable(rows) {
const table = document.getElementById('results');
table.innerHTML = '';
if (rows.length === 0) return;
let hitsIndex = selectedColumns.indexOf('Hits');
let totalHits = 0;
if (hitsIndex !== -1) {
totalHits = rows.reduce((s, r) => s + Number(r[hitsIndex]), 0);
}
const header = document.createElement('tr');
selectedColumns.forEach((col, i) => {
const th = document.createElement('th');
let label = col;
if (
displayType === 'table' &&
col !== 'Hits' &&
!(groupBy.chips || []).includes(col)
) {
const agg = document.getElementById('aggregate').value.toLowerCase();
label += ` (${agg})`;
}
th.textContent = label;
th.dataset.index = i;
th.addEventListener('click', handleSort);
if (sortState.index === i) {
th.classList.add('sorted');
th.textContent =
label + (sortState.dir === 'desc' ? ' \u25BC' : ' \u25B2');
}
if (!isStringColumn(col)) th.style.textAlign = 'right';
header.appendChild(th);
});
table.appendChild(header);
rows.forEach(row => {
const tr = document.createElement('tr');
tr.addEventListener('click', () => {
tr.classList.toggle('selected');
});
row.forEach((v, i) => {
const col = selectedColumns[i];
const td = document.createElement('td');
if (isTimeColumn(col)) {
const d = new Date(v);
td.textContent = d.toLocaleString('en-US', {
weekday: 'short',
month: 'short',
day: 'numeric',
year: 'numeric',
hour: 'numeric',
minute: 'numeric',
second: 'numeric',
hour12: true,
timeZoneName: 'short'
});
} else {
if (col === 'Hits') {
const pct = totalHits ? ((v / totalHits) * 100).toFixed(1) : '0';
td.textContent = `${formatNumber(v)} (${pct}%)`;
} else {
td.textContent = isStringColumn(col) ? v : formatNumber(v);
}
}
td.style.textAlign = isStringColumn(col) ? 'left' : 'right';
tr.appendChild(td);
});
table.appendChild(tr);
});
// ensure table does not overflow unless necessary
const view = document.getElementById('view');
if (table.scrollWidth <= view.clientWidth) {
table.style.width = '100%';
}
}
function handleSort(e) {
const idx = parseInt(e.target.dataset.index, 10);
if (sortState.index !== idx) {
sortState.index = idx;
sortState.dir = 'asc';
} else if (sortState.dir === 'asc') {
sortState.dir = 'desc';
} else if (sortState.dir === 'desc') {
sortState.index = null;
sortState.dir = null;
} else {
sortState.dir = 'asc';
}
let rows = originalRows.slice();
if (sortState.index !== null) {
rows.sort((a, b) => {
const va = a[sortState.index];
const vb = b[sortState.index];
if (va === vb) return 0;
if (sortState.dir === 'desc') return va < vb ? 1 : -1;
return va > vb ? 1 : -1;
});
}
renderTable(rows);
}
function showTimeSeries(data) {
const view = document.getElementById('view');
if (data.rows.length === 0) {
view.innerHTML = '<p id="empty-message">Empty data provided to table</p>';
return;
}
const width = 600;
const height = 400;
view.innerHTML = '<div id="legend"></div><svg id="chart" width="' + width + '"
height="' + height + '"></svg>';
const svg = document.getElementById('chart');
const legend = document.getElementById('legend');
const groups = groupBy.chips || [];
const hasHits = document.getElementById('show_hits').checked ? 1 : 0;
const series = {};
let minX = Infinity, maxX = -Infinity, minY = Infinity, maxY = -Infinity;
data.rows.forEach(r => {
const ts = new Date(r[0]).getTime();
const key = groups.map((_, i) => r[1 + i]).join(':') || 'all';
const val = Number(r[1 + groups.length + hasHits]);
if (!series[key]) series[key] = [];
series[key].push({x: ts, y: val});
if (ts < minX) minX = ts;
if (ts > maxX) maxX = ts;
if (val < minY) minY = val;
if (val > maxY) maxY = val;
});
const colors = ['#1f77b4','#ff7f0e','#2ca02c','#d62728','#9467bd','#8c564b','#
e377c2'];
let colorIndex = 0;
const xRange = maxX - minX || 1;
const yRange = maxY - minY || 1;
const xScale = x => ((x - minX) / xRange) * (width - 60) + 50;
const yScale = y => height - 30 - ((y - minY) / yRange) * (height - 60);
Object.keys(series).forEach(key => {
const pts = series[key];
const color = colors[colorIndex++ % colors.length];(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1120,1280p' scubaduc
k/static/index.html
const color = colors[colorIndex++ % colors.length];
const path = pts.map((p,i)=> (i===0? 'M':'L') + xScale(p.x) + ' ' + yScale(p
.y)).join(' ');
const el = document.createElementNS('http://www.w3.org/2000/svg','path');
el.setAttribute('d', path);
el.setAttribute('fill','none');
el.setAttribute('stroke', color);
svg.appendChild(el);
const item = document.createElement('div');
item.textContent = key;
item.style.color = color;
legend.appendChild(item);
});
}
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);
}
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>
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll look for where query_info is defined earlier in the file.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "query_info" -n scub
aduck/static/index.html
263: <div id="query_info" style="margin-top:10px;"></div>
1150: document.getElementById('query_info').textContent =
1170: document.getElementById('query_info').textContent = '';
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll check the HTML around line 250 to make sure everything looks good.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '240,268p' scubaduck/
static/index.html
<option>Max</option>
<option>Count Distinct</option>
<option>p5</option>
<option>p25</option>
<option>p50</option>
<option>p70</option>
<option>p75</option>
<option>p90</option>
<option>p95</option>
<option>p99</option>
<option>p99.9</option>
<option>p99.99</option>
</select>
</div>
<div id="show_hits_field" class="field" style="display:none;">
<label>Show Hits</label>
<input id="show_hits" type="checkbox" checked>
</div>
<div id="filters">
<h4>Filters<span class="help" title="You can create as many filters as
you want. You can either write a filter using a UI or manual SQL. In the UI, fi
lter consists of a column name, a relation (e.g., =, !=, <, >) and then a text f
ield. The text field is a token input. It accepts multiple tokens for = relation
, in which case we match using an OR for all options.">[?]</span></h4>
<div id="filter_list"></div>
<button id="add_filter" type="button" onclick="addFilter()">Add Filter
</button>
</div>
<div id="query_info" style="margin-top:10px;"></div>
</div>
<div id="columns" class="tab-content">
<div id="column_actions">
<a id="columns_all" href="#">All</a>
<a id="columns_none" href="#">None</a>
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#It seems query_info is in the sidebar, but the user wants it below the chart. I'll need to adjust the layout and display SQL beneath the right pane.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "id=\"view\"" -n scu
baduck/static/index.html
279: <div id="view">
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll display lines from around 272 to 284 to see the <div id="view">.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '270,288p' scubaduck/
static/index.html
<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>
const allColumns = [];
const baseColumns = [];
const columnTypes = {};
const stringColumns = [];
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#The user wants SQL query info below the chart/table. I'll add a container for that.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ls tests
conftest.py test_server.py test_web.pyfrom scubaduck import server
import pytest
def test_basic_query() -> None:
app = server.app
client = app.test_client()
payload = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-02 00:00:00",
"order_by": "timestamp",
"order_dir": "ASC",
"limit": 10,
"columns": ["timestamp", "event", "value", "user"],
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert data
rows = data["rows"]
# We expect first three rows (until 2024-01-02 00:00:00)
assert len(rows) == 3
assert rows[0][1] == "login"
assert rows[1][1] == "logout"
def test_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 = {
"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 = {
"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 = {
"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 {
"start": "2024-01-01 00:00:00",
"end": "2024-01-02 00:00:00",
"order_by": "timestamp",
"order_dir": "ASC",
"limit": 10,
"columns": ["timestamp", "event", "value", "user"],
"filters": [],
}
def test_database_types(tmp_path: Path) -> None:
csv_file = tmp_path / "events.csv"
csv_file.write_text(Path("scubaduck/sample.csv").read_text())
sqlite_file = tmp_path / "events.sqlite"
import sqlite3
conn = sqlite3.connect(sqlite_file)
conn.execute(
"CREATE TABLE events (timestamp TEXT, event TEXT, value INTEGER, user TE
XT)"
)
with open(csv_file) as f:
next(f)
for line in f:
ts, ev, val, user = line.strip().split(",")
conn.execute(
"INSERT INTO events VALUES (?, ?, ?, ?)", (ts, ev, int(val), use
r)
)
conn.commit()
conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce
ssIssue]
duckdb_file = tmp_path / "events.duckdb"
con = duckdb.connect(duckdb_file)
con.execute(
f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{csv_file.as_posix
()}')"
)
con.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcces
sIssue]
for db in (csv_file, sqlite_file, duckdb_file):
app = server.create_app(db)
client = app.test_client()
payload = _make_payload()
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/js
on"
)
rows = rv.get_json()["rows"]
assert len(rows) == 3
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll search for tests in the code starting after line 200.
payload = {
"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)
payload = {
"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 = {
"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 = {
"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 = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "table",
"order_by": "timestamp",
"limit": 100,
"columns": ["user", "Hits", "value"],
"group_by": ["user"],
"aggregate": "Count",
"show_hits": True,
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 400
assert "Unknown column" in data["error"]
def test_samples_view_rejects_group_by() -> None:
app = server.app
client = app.test_client()
payload = {
"graph_type": "samples",
"group_by": ["user"],
"columns": ["timestamp"],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
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 = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "table",
"order_by": "user",
"limit": 100,
"columns": ["user", "timestamp", "value"],
"group_by": ["user"],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert "error" not in data
rows = data["rows"]
assert rows[0][0] == "alice"
from dateutil import parser
ts = parser.parse(rows[0][1]).replace(tzinfo=None)
assert ts == parser.parse("2024-01-01 12:00:00")
def test_timeseries_basic() -> None:
app = server.app
client = app.test_client()
payload = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 100,
"group_by": ["user"],
"aggregate": "Count",
"columns": ["value"],
"x_axis": "timestamp",
"granularity": "1 day",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert len(data["rows"]) == 4
def test_timeseries_orders_by_xaxis() -> None:
app = server.app
client = app.test_client()
payload = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 100,
"columns": ["value"],
"x_axis": "timestamp",
"granularity": "1 day",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
rows = data["rows"]
from dateutil import parser
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#Let me keep scrolling to capture what I need.
timestamps = [parser.parse(r[0]).replace(tzinfo=None) for r in rows]
assert timestamps == sorted(timestamps)
def test_timeseries_string_column_error() -> None:
app = server.app
client = app.test_client()
payload = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "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 = {
"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 run_query(
page: Any,
url: str,
*,
start: str | None = None,
end: str | None = None,
order_by: str | None = None,
order_dir: str | None = "ASC",
limit: int | None = None,
group_by: list[str] | None = None,
aggregate: str | None = None,
) -> dict[str, Any]:
page.goto(url)
page.wait_for_selector("#order_by option", state="attached")
page.wait_for_selector("#order_dir", state="attached")
page.wait_for_function("window.lastResults !== undefined")
if start is not None:
page.fill("#start", start)
if end is not None:
page.fill("#end", end)
if order_by is not None:
select_value(page, "#order_by", order_by)
if order_dir is not None and order_dir == "DESC":
page.click("#order_dir")
if limit is not None:
page.fill("#limit", str(limit))
if group_by is not None:
select_value(page, "#graph_type", "table")
page.evaluate(
"g => { groupBy.chips = g; groupBy.renderChips(); }",
group_by,
)
if aggregate is not None:
select_value(page, "#graph_type", "table")
select_value(page, "#aggregate", aggregate)
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
return page.evaluate("window.lastResults")
def test_range_filters(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-02 00:00:00",
end="2024-01-02 04:00:00",
order_by="timestamp",
limit=100,
)
assert len(data["rows"]) == 2
from dateutil import parser
timestamps = [parser.parse(row[0]).replace(tzinfo=None) for row in data["row
s"]]
assert timestamps == [
parser.parse("2024-01-02 00:00:00"),
parser.parse("2024-01-02 03:00:00"),
]
def test_order_by(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-01 00:00:00",
end="2024-01-03 00:00:00",
order_by="value",
order_dir="DESC",
limit=100,
)
values = [row[2] for row in data["rows"]]
assert values == sorted(values, reverse=True)
def test_limit(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-01 00:00:00",
end="2024-01-03 00:00:00",
order_by="timestamp",
limit=2,
)
assert len(data["rows"]) == 2
def test_simple_filter(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Add Filter")
filter_el = page.query_selector("#filters .filter:last-child")
assert filter_el
page.evaluate(
"arg => setSelectValue(arg.el.querySelector('.f-col'), arg.val)",
{"el": filter_el, "val": "user"},
)
val_input = filter_el.query_selector(".f-val")
val_input.click()
page.keyboard.type("alice")
page.keyboard.press("Enter")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
data = page.evaluate("window.lastResults")
assert len(data["rows"]) == 2
assert all(row[3] == "alice" for row in data["rows"])
def test_default_filter_and_layout(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
count = page.evaluate("document.querySelectorAll('#filters .filter').length"
)
assert count == 1
last_is_button = page.evaluate(
"document.querySelector('#filters').lastElementChild.id === 'add_filter'
"
)
assert last_is_button
position = page.evaluate(
"getComputedStyle(document.querySelector('#filters .filter button.remove
')).position"
)
assert position == "static"
def test_filter_remove_alignment(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
diff = page.evaluate(
"() => { const r=document.querySelector('#filters .filter-row').getBound
ingClientRect(); const x=document.querySelector('#filters .filter-row button.rem
ove').getBoundingClientRect(); return Math.abs(r.right - x.right); }"
)
assert diff <= 1
def test_header_and_tabs(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
header = page.text_content("#header")
assert "sample.csv" in header
assert "events" in header
assert page.is_visible("#settings")
assert page.is_hidden("#columns")
page.click("text=Columns")
assert page.is_visible("#columns")
cols = [c.strip() for c in page.locator("#column_groups li").all_inner_texts
()]
assert "timestamp" in cols
assert "event" in cols
page.click("text=View Settings")
assert page.is_visible("#settings")
btn_color = page.evaluate(
"getComputedStyle(document.querySelector('#dive')).backgroundColor"
)
assert "rgb(0, 128, 0)" == btn_color
sidebar_overflow = page.evaluate(
"getComputedStyle(document.querySelector('#sidebar')).overflowY"
)
view_overflow = page.evaluate(
"getComputedStyle(document.querySelector('#view')).overflowY"
)
assert sidebar_overflow == "auto"
assert view_overflow == "auto"
def test_graph_type_table_fields(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#graph_type", state="attached")
select_value(page, "#graph_type", "table")
assert page.is_visible("#group_by_field")
assert page.is_visible("#aggregate_field")
assert page.is_visible("#show_hits_field")
page.click("text=Columns")
assert not page.is_visible("text=Strings:")
def test_graph_type_timeseries_fields(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#graph_type", state="attached")
select_value(page, "#graph_type", "timeseries")
assert page.is_visible("#group_by_field")
assert page.is_visible("#aggregate_field")
assert page.is_visible("#x_axis_field")
assert page.is_visible("#granularity_field")
assert page.is_visible("#fill_field")
def test_timeseries_default_query(page: Any, server_url: str) -> None:
page.goto(server_url)
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'm paging ahead to capture more content.
page.click("text=Columns")
assert not page.is_checked("#column_groups input[value='timestamp']")
def test_timeseries_single_bucket(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#graph_type", state="attached")
page.fill("#start", "2024-01-01 00:00:00")
page.fill("#end", "2024-01-01 00:00:00")
select_value(page, "#graph_type", "timeseries")
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
path = page.get_attribute("#chart path", "d")
assert path is not None and "NaN" not in path
def test_help_and_alignment(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
titles = page.evaluate(
"Array.from(document.querySelectorAll('#settings .help')).map(e => e.tit
le)"
)
assert any("start/end of the time range" in t for t in titles)
text_align = page.evaluate(
"getComputedStyle(document.querySelector('#settings label')).textAlign"
)
assert text_align == "right"
def test_table_sorting(page: Any, server_url: str) -> None:
run_query(
page,
server_url,
start="2024-01-01 00:00:00",
end="2024-01-03 00:00:00",
order_by="timestamp",
order_dir="ASC",
limit=100,
)
# header alignment
align = page.evaluate(
"getComputedStyle(document.querySelector('#results th')).textAlign"
)
assert align == "right"
header = page.locator("#results th").nth(3)
def values() -> list[str]:
return page.locator("#results td:nth-child(4)").all_inner_texts()
orig_rows = values()
assert orig_rows == ["alice", "bob", "alice", "charlie"]
first_sql = page.evaluate("window.lastResults.sql")
header.click()
assert values() == sorted(orig_rows)
assert header.inner_text().endswith("▲")
color = page.evaluate(
"getComputedStyle(document.querySelector('#results th:nth-child(4)')).co
lor"
)
assert "0, 0, 255" in color
assert page.evaluate("window.lastResults.sql") == first_sql
header.click()
assert values() == sorted(orig_rows, reverse=True)
assert header.inner_text().endswith("▼")
header.click()
assert values() == orig_rows
assert header.inner_text() == "user"
color = page.evaluate(
"getComputedStyle(document.querySelector('#results th:nth-child(4)')).co
lor"
)
assert "0, 0, 255" not in color
def test_relative_dropdown(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
btn = page.query_selector('[data-target="start-select"]')
assert btn
btn.click()
page.click("#start-select div:text('-3 hours')")
assert page.input_value("#start") == "-3 hours"
def test_end_dropdown_now(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click('[data-target="end-select"]')
page.click("#end-select div:text('now')")
assert page.input_value("#end") == "now"
def test_invalid_time_error_shown(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="nonsense",
end="now",
order_by="timestamp",
)
assert "error" in data
msg = page.text_content("#view")
assert "nonsense" in msg
def test_table_avg_group_by(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-01 00:00:00",
end="2024-01-03 00:00:00",
order_by="timestamp",
group_by=["user"],
aggregate="Avg",
)
assert "error" not in data
assert len(data["rows"]) == 3
def test_column_toggle_and_selection(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.wait_for_selector("#column_groups input", state="attached")
count = page.evaluate(
"document.querySelectorAll('#column_groups input:checked').length"
)
assert count == 4
page.click("#columns_none")
count = page.evaluate(
"document.querySelectorAll('#column_groups input:checked').length"
)
assert count == 0
page.click("#columns_all")
count = page.evaluate(
"document.querySelectorAll('#column_groups input:checked').length"
)
assert count == 4
page.uncheck("#column_groups input[value='value']")
page.click("text=View Settings")
page.fill("#start", "2024-01-01 00:00:00")
page.fill("#end", "2024-01-02 00:00:00")
select_value(page, "#order_by", "timestamp")
page.fill("#limit", "10")
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
data = page.evaluate("window.lastResults")
assert len(data["rows"][0]) == 3
headers = page.locator("#results th").all_inner_texts()
assert "value" not in headers
def test_columns_links_alignment(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.wait_for_selector("#column_groups input", state="attached")
tag = page.evaluate("document.getElementById('columns_all').tagName")
assert tag == "A"
align = page.evaluate(
"getComputedStyle(document.querySelector('#column_actions')).textAlign"
)
assert align == "right"
def test_column_group_links(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.wait_for_selector("#column_groups a", state="attached")
tag = page.evaluate("document.querySelector('#column_groups .col-group a').t
agName")
assert tag == "A"
def test_column_group_links_float_right(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.wait_for_selector("#column_groups .col-group .links", state="attached")
float_val = page.evaluate(
"getComputedStyle(document.querySelector('#column_groups .col-group .lin
ks')).float"
)
assert float_val == "right"
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'm continuing to search for '#query_info' in the tests section.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "query_info" -n test
s/test_web.py
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll add a new element below the chart to display the SQL query.
I'll append the SQL query after calling showTimeSeries or renderTable without overwriting content.
I'll look for occurrences of "#view" or "Empty data provided to table" in the code.
t_web.py
171: "getComputedStyle(document.querySelector('#view')).overflowY"
315: msg = page.text_content("#view")
769: msg = page.text_content("#view")
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’ll take a look at lines 315 and 769 for text_content(#view).
page.wait_for_selector("#order_by option", state="attached")
page.click('[data-target="end-select"]')
page.click("#end-select div:text('now')")
assert page.input_value("#end") == "now"
def test_invalid_time_error_shown(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="nonsense",
end="now",
order_by="timestamp",
)
assert "error" in data
msg = page.text_content("#view")
assert "nonsense" in msg
def test_table_avg_group_by(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-01 00:00:00",
end="2024-01-03 00:00:00",
order_by="timestamp",
group_by=["user"],
aggregate="Avg",
)
assert "error" not in data
assert len(data["rows"]) == 3
def test_column_toggle_and_selection(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.wait_for_selector("#column_groups input", state="attached")
count = page.evaluate(
"document.querySelectorAll('#column_groups input:checked').length"
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’m reaching near line 769 and still need to make my way through.
data = run_query(
page,
server_url,
start="2025-01-01 00:00:00",
end="2025-01-02 00:00:00",
order_by="timestamp",
limit=100,
)
assert data["rows"] == []
msg = page.text_content("#view")
assert "Empty data provided to table" in msg
def test_group_by_chip_from_url(page: Any, server_url: str) -> None:
url = f"{server_url}?graph_type=table&group_by=user&order_by=user&limit=10"
page.goto(url)
page.wait_for_selector("#group_by_field .chip", state="attached")
chips = page.evaluate(
"Array.from(document.querySelectorAll('#group_by_field .chip')).map(c =>
c.firstChild.textContent)"
)
assert chips == ["user"]
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I need to confirm that appending SQL won't break existing tests like "Empty data provided…"
def test_table_headers_show_aggregate(page: Any, server_url: str) -> None:
run_query(
page,
server_url,
aggregate="Avg",
)
headers = page.locator("#results th").all_inner_texts()
assert "Hits" in headers
assert "timestamp (avg)" in headers
assert "value (avg)" in headers
def test_format_number_function(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
vals = page.evaluate(
"() => [formatNumber(815210), formatNumber(999.999), formatNumber(0.0004
), formatNumber(0)]"
)
assert vals == ["815.21 K", "999.999", "0.000", "0"]
def test_derived_column_query(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.click("text=Add Derived")
expr = page.query_selector("#derived_list .derived textarea")
assert expr
expr.fill("value * 2")
page.click("text=View Settings")
page.fill("#start", "2024-01-01 00:00:00")
page.fill("#end", "2024-01-03 00:00:00")
page.fill("#limit", "10")
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
data = page.evaluate("window.lastResults")
assert data["rows"][0][-1] == 20
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’m adding a new test to check if the SQL query is displayed properly.
from typing import Any
def select_value(page: Any, selector: str, value: str) -> None:
page.evaluate(
"arg => setSelectValue(arg.sel, arg.val)",
{"sel": selector, "val": value},
)
def run_query(
page: Any,
url: str,
*,
start: str | None = None,
end: str | None = None,
order_by: str | None = None,
order_dir: str | None = "ASC",
limit: int | None = None,
group_by: list[str] | None = None,
aggregate: str | None = None,
) -> dict[str, Any]:
page.goto(url)
page.wait_for_selector("#order_by option", state="attached")
page.wait_for_selector("#order_dir", state="attached")
page.wait_for_function("window.lastResults !== undefined")
if start is not None:
page.fill("#start", start)
if end is not None:
page.fill("#end", end)
if order_by is not None:
select_value(page, "#order_by", order_by)
if order_dir is not None and order_dir == "DESC":
page.click("#order_dir")
if limit is not None:
page.fill("#limit", str(limit))
if group_by is not None:
select_value(page, "#graph_type", "table")
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’ll keep going to get to the run_query part.
eb.py
select_value(page, "#graph_type", "table")
page.evaluate(
"g => { groupBy.chips = g; groupBy.renderChips(); }",
group_by,
)
if aggregate is not None:
select_value(page, "#graph_type", "table")
select_value(page, "#aggregate", aggregate)
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
return page.evaluate("window.lastResults")
def test_range_filters(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-02 00:00:00",
end="2024-01-02 04:00:00",
order_by="timestamp",
limit=100,
)
assert len(data["rows"]) == 2
from dateutil import parser
timestamps = [parser.parse(row[0]).replace(tzinfo=None) for row in data["row
s"]]
assert timestamps == [
parser.parse("2024-01-02 00:00:00"),
parser.parse("2024-01-02 03:00:00"),
]
def test_order_by(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-01 00:00:00",
end="2024-01-03 00:00:00",
order_by="value",
order_dir="DESC",
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll add a test after "test_table_headers_show_aggregate" by checking the file's end.
assert vals == ["815.21 K", "999.999", "0.000", "0"]
def test_derived_column_query(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.click("text=Add Derived")
expr = page.query_selector("#derived_list .derived textarea")
assert expr
expr.fill("value * 2")
page.click("text=View Settings")
page.fill("#start", "2024-01-01 00:00:00")
page.fill("#end", "2024-01-03 00:00:00")
page.fill("#limit", "10")
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
data = page.evaluate("window.lastResults")
assert data["rows"][0][-1] == 20
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#The file ends with test_derived_column_query, so I'll add a new test directly after.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ls scubaduck/static/js
chip_input.jsp_input.js
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;
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll review the pyproject to confirm dependencies for ruff, pyright, and others.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# cat pyproject.toml
[project]
name = "scubaduck"
version = "0.1.0"
description = "Scuba on DuckDB"
readme = "README.md"
requires-python = ">=3.12"
license = {text = "MIT"}
dependencies = [
"duckdb",
"flask",
"python-dateutil>=2.9.0.post0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.pytest.ini_options]
addopts = "-n auto --tb=native"
[tool.pyright]
# Pyright configuration with strict settings
include = ["scubaduck", "tests"]
exclude = ["**/__pycache__", "dist"]
stubPath = "stubs"
venvPath = "."
venv = ".venv"
reportMissingImports = true
reportMissingTypeStubs = true
pythonVersion = "3.12"
pythonPlatform = "All"
typeCheckingMode = "strict"
reportUnknownMemberType = true
reportUnknownParameterType = true
reportUnknownVariableType = true
reportUnknownArgumentType = true
reportPrivateImportUsage = true
reportUntypedFunctionDecorator = true
reportFunctionMemberAccess = true
reportIncompatibleMethodOverride = true
[tool.ruff]
target-version = "py312"
[tool.uv]
dev-dependencies = [
"pytest>=8.3.5",
"ruff>=0.11.2",
"pytest-xdist>=3.6.1",
"playwright>=1.52.0",
"pyright>=1.1.350",
"pytest-playwright>=0.7.0",
]
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll add a <pre id="sql_query"> element to the index.html inside #view. The showResults function will be modified to handle the query SQL display. However, I need to handle the case where showTimeSeries sets innerHTML and removes the pre element. I'll adjust showTimeSeries to return DOM nodes instead of manipulations with innerHTML. If that's not feasible, I'll adjust the showResults function to append the query SQL properly without being affected by subsequent innerHTML updates.
I’ll append the pre element after showTimeSeries or table rendering. I need to ensure showResults doesn’t overwrite it due to innerHTML. If showError needs to display SQL, I'll stick with the current behavior for errors. I’ll also create a test to ensure SQL is displayed correctly on successful queries. I'll inspect the run_query function and confirm it's retrieving the SQL properly.
I’ll check #sql_query and then run ruff format, ruff check, pyright, and pytest.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# git status --short
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#Time to open index.html and make the necessary patch.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '268,288p' scubaduck/
static/index.html
<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>
const allColumns = [];
const baseColumns = [];
const columnTypes = {};
const stringColumns = [];
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll insert <pre id="sql_query"></pre> inside #view below the <table id="results"></table>.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# apply_patch<<'PATCH'
> *** Begin Patch
> *** Update File: scubaduck/static/index.html
> @@
> <div id="view">
> <table id="results"></table>
> + <pre id="sql_query" style="white-space: pre-wrap; margin-top: 10px;"></pr
e>
> </div>
> </div>
> *** End Patch
> PATCH
Success. Updated the following files:
M scubaduck/static/index.html
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll locate the showResults function and make the necessary changes in index.html.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "function showResult
s" -n scubaduck/static/index.html
1135:function showResults(data) {(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1132,1172p' scubaduc
k/static/index.html
});
}
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);
}
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 = '';
}
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll add an element to the SQL query as part of the patch.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# apply_patch<<'PATCH'
> *** Begin Patch
> *** Update File: scubaduck/static/index.html
> @@
> if (graphTypeSel.value === 'timeseries') {
> showTimeSeries(data);
> } else {
> @@
> renderTable(originalRows);
> }
> - document.getElementById('query_info').textContent =
> - `Your query took about ${lastQueryTime} ms`;
> + const sqlEl = document.getElementById('sql_query');
> + if (sqlEl) sqlEl.textContent = data.sql;
> + document.getElementById('query_info').textContent =
> + `Your query took about ${lastQueryTime} ms`;
> }
> *** End Patch
> PATCH
Success. Updated the following files:
M scubaduck/static/index.html
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I need to ensure 'sql_query' stays in the DOM after innerHTML is replaced by showResults.
I'll ensure showTimeSeries includes <pre id="sql_query"></pre> in its returned markup.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "showTimeSeries" -n
scubaduck/static/index.html
1087:function showTimeSeries(data) {
1139: showTimeSeries(data);(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1084,1122p' scubaduc
k/static/index.html
renderTable(rows);
}
function showTimeSeries(data) {
const view = document.getElementById('view');
if (data.rows.length === 0) {
view.innerHTML = '<p id="empty-message">Empty data provided to table</p>';
return;
}
const width = 600;
const height = 400;
view.innerHTML = '<div id="legend"></div><svg id="chart" width="' + width + '"
height="' + height + '"></svg>';
const svg = document.getElementById('chart');
const legend = document.getElementById('legend');
const groups = groupBy.chips || [];
const hasHits = document.getElementById('show_hits').checked ? 1 : 0;
const series = {};
let minX = Infinity, maxX = -Infinity, minY = Infinity, maxY = -Infinity;
data.rows.forEach(r => {
const ts = new Date(r[0]).getTime();
const key = groups.map((_, i) => r[1 + i]).join(':') || 'all';
const val = Number(r[1 + groups.length + hasHits]);
if (!series[key]) series[key] = [];
series[key].push({x: ts, y: val});
if (ts < minX) minX = ts;
if (ts > maxX) maxX = ts;
if (val < minY) minY = val;
if (val > maxY) maxY = val;
});
const colors = ['#1f77b4','#ff7f0e','#2ca02c','#d62728','#9467bd','#8c564b','#
e377c2'];
let colorIndex = 0;
const xRange = maxX - minX || 1;
const yRange = maxY - minY || 1;
const xScale = x => ((x - minX) / xRange) * (width - 60) + 50;
const yScale = y => height - 30 - ((y - minY) / yRange) * (height - 60);
Object.keys(series).forEach(key => {
const pts = series[key];
const color = colors[colorIndex++ % colors.length];
const path = pts.map((p,i)=> (i===0? 'M':'L') + xScale(p.x) + ' ' + yScale(p
.y)).join(' ');
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll scroll from line 1122 to 1150 to capture more details.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1122,1160p' scubaduc
k/static/index.html
const path = pts.map((p,i)=> (i===0? 'M':'L') + xScale(p.x) + ' ' + yScale(p
.y)).join(' ');
const el = document.createElementNS('http://www.w3.org/2000/svg','path');
el.setAttribute('d', path);
el.setAttribute('fill','none');
el.setAttribute('stroke', color);
svg.appendChild(el);
const item = document.createElement('div');
item.textContent = key;
item.style.color = color;
legend.appendChild(item);
});
}
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.getElementById('sql_query');
if (sqlEl) sqlEl.textContent = data.sql;
document.getElementById('query_info').textContent =
`Your query took about ${lastQueryTime} ms`;
}
function showError(err) {
window.lastResults = err;
const view = document.getElementById('view');
let msg = '';
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I need to adjust how showResults handles the pre element since it's removed while replacing innerHTML. I'll create and append a new pre element each time showResults runs.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# apply_patch<<'PATCH'
> *** Begin Patch
> *** Update File: scubaduck/static/index.html
> @@
> if (graphTypeSel.value === 'timeseries') {
> showTimeSeries(data);
> } else {
> @@
> renderTable(originalRows);
> }
> - const sqlEl = document.getElementById('sql_query');
> - if (sqlEl) sqlEl.textContent = data.sql;
> + 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`;
> }
> *** End Patch
> PATCH
Success. Updated the following files:
M scubaduck/static/index.html
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll remove the <pre> tag from HTML to avoid duplication. Let's revert the change.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "sql_query" -n scuba
duck/static/index.html
281: <pre id="sql_query" style="white-space: pre-wrap; margin-top: 10px;"></p
re>
1152: sqlEl.id = 'sql_query';
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I need to remove the <pre> tag that was added at line 281.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '276,286p' scubaduck/
static/index.html
</div>
</div>
<div id="sidebar-resizer"></div>
<div id="view">
<table id="results"></table>
<pre id="sql_query" style="white-space: pre-wrap; margin-top: 10px;"></pre>
</div>
</div>
<script src="/js/chip_input.js"></script>
<script>
const allColumns = [];
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll go ahead and remove the pre-element from this section.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# apply_patch<<'PATCH'
> *** Begin Patch
> *** Update File: scubaduck/static/index.html
> @@
> - <div id="view">
> - <table id="results"></table>
> - <pre id="sql_query" style="white-space: pre-wrap; margin-top: 10px;"></pr
e>
> - </div>
> + <div id="view">
> + <table id="results"></table>
> + </div>
> </div>
> *** End Patch
> PATCH
Success. Updated the following files:
M scubaduck/static/index.html
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I've added dynamic pre but need static. I'll patch showResults and verify.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# grep -n "sql_query" -n scuba
duck/static/index.html
1151: sqlEl.id = 'sql_query';
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I need to verify I patched the correct lines, so let's check around the changes.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1138,1160p' scubaduc
k/static/index.html
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) {
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll adjust showTimeSeries to keep the appended "pre" and handle empty data cases correctly.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# tail -n 20 tests/test_web.py
assert vals == ["815.21 K", "999.999", "0.000", "0"]
def test_derived_column_query(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.click("text=Add Derived")
expr = page.query_selector("#derived_list .derived textarea")
assert expr
expr.fill("value * 2")
page.click("text=View Settings")
page.fill("#start", "2024-01-01 00:00:00")
page.fill("#end", "2024-01-03 00:00:00")
page.fill("#limit", "10")
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
data = page.evaluate("window.lastResults")
assert data["rows"][0][-1] == 20
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll add a new test after this and apply necessary patches.
> *** Begin Patch
> *** Update File: tests/test_web.py
> @@
> def test_derived_column_query(page: Any, server_url: str) -> None:
> @@
> data = page.evaluate("window.lastResults")
> assert data["rows"][0][-1] == 20
> +
> +
> +def test_sql_query_display(page: Any, server_url: str) -> None:
> + data = run_query(
> + page,
> + server_url,
> + start="2024-01-01 00:00:00",
> + end="2024-01-02 00:00:00",
> + order_by="timestamp",
> + limit=10,
> + )
> + sql = data["sql"]
> + displayed = page.text_content("#sql_query")
> + assert displayed is not None
> + assert displayed.strip() == sql
> *** End Patch
> PATCH
Success. Updated the following files:
M tests/test_web.py
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll go ahead and run ruff to format the code.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ruff format scubaduck/static
/index.html tests/test_web.py
error: Failed to parse scubaduck/static/index.html:1:1: Expected a statement
1 file left unchanged
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#Looks like ruff can't format .html files, so I'll only run it on Python files.
y scubaduck/static/index.html
error: Failed to parse scubaduck/static/index.html:1:1: Expected a statement
1 file left unchanged
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#Since Ruff can't parse HTML, I'll format the Python in tests/test_web.py.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ruff format tests/test_web.p
y
1 file left unchanged(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ruff check scubaduck tests
All checks passed!
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll run pyright to check for type issues in the code.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# pyright0 errors, 0 warnings, 0 informations
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll run pytest to verify everything is working fine.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# pytest -qbringing up nodes................................................................... [100%]
64 passed in 10.98s
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’ll verify the git status to ensure everything’s up-to-date.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# git status --short
M scubaduck/static/index.html
M tests/test_web.py
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll open the lines of the file for one last check.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# sed -n '1138,1165p' scubaduc
k/static/index.html
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;
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll review the patch lines in tests/test_web.py to ensure everything looks good.
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_derived_column_query(page: Any, server_url: str) -> None:
page.goto(server_url)
page.wait_for_selector("#order_by option", state="attached")
page.click("text=Columns")
page.click("text=Add Derived")
expr = page.query_selector("#derived_list .derived textarea")
assert expr
expr.fill("value * 2")
page.click("text=View Settings")
page.fill("#start", "2024-01-01 00:00:00")
page.fill("#end", "2024-01-03 00:00:00")
page.fill("#limit", "10")
page.evaluate("window.lastResults = undefined")
page.click("text=Dive")
page.wait_for_function("window.lastResults !== undefined")
data = page.evaluate("window.lastResults")
assert data["rows"][0][-1] == 20
def test_sql_query_display(page: Any, server_url: str) -> None:
data = run_query(
page,
server_url,
start="2024-01-01 00:00:00",
end="2024-01-02 00:00:00",
order_by="timestamp",
limit=10,
)
sql = data["sql"]
displayed = page.text_content("#sql_query")
assert displayed is not None
assert displayed.strip() == sql
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#All clear, time to commit.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# git add scubaduck/static/ind
ex.html tests/test_web.py(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# git commit -m "feat(web): sh
ow SQL query under results" && git status --short
[work b8e82a2] feat(web): show SQL query under results
2 files changed, 21 insertions(+)
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#Hmm, the commit didn’t show its status. I’ll check the status now.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# git status --short
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I need to open lines around the patch for index.html to gather citations.
x.html | sed -n '1138,1160p'
1138 showTimeSeries(data);
1139 } else {
1140 if (data.rows.length === 0) {
1141 view.innerHTML =
1142 '<p id="empty-message">Empty data provided to table</p><table id
="results"></table>';
1143 } else {
1144 view.innerHTML = '<table id="results"></table>';
1145 }
1146 originalRows = data.rows.slice();
1147 sortState = {index: null, dir: null};
1148 renderTable(originalRows);
1149 }
1150 const sqlEl = document.createElement('pre');
1151 sqlEl.id = 'sql_query';
1152 sqlEl.style.whiteSpace = 'pre-wrap';
1153 sqlEl.style.marginTop = '10px';
1154 sqlEl.textContent = data.sql;
1155 view.appendChild(sqlEl);
1156 document.getElementById('query_info').textContent =
1157 `Your query took about ${lastQueryTime} ms`;
1158 }
1159
1160 function showError(err) {
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I need to grab the line ranges affected by the changes to the tests.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# nl -ba tests/test_web.py | t
ail -n 30
865 page.wait_for_selector("#order_by option", state="attached")
866 page.click("text=Columns")
867 page.click("text=Add Derived")
868 expr = page.query_selector("#derived_list .derived textarea")
869 assert expr
870 expr.fill("value * 2")
871 page.click("text=View Settings")
872 page.fill("#start", "2024-01-01 00:00:00")
873 page.fill("#end", "2024-01-03 00:00:00")
874 page.fill("#limit", "10")
875 page.evaluate("window.lastResults = undefined")
876 page.click("text=Dive")
877 page.wait_for_function("window.lastResults !== undefined")
878 data = page.evaluate("window.lastResults")
879 assert data["rows"][0][-1] == 20
880
881
882 def test_sql_query_display(page: Any, server_url: str) -> None:
883 data = run_query(
884 page,
885 server_url,
886 start="2024-01-01 00:00:00",
887 end="2024-01-02 00:00:00",
888 order_by="timestamp",
889 limit=10,
890 )
891 sql = data["sql"]
892 displayed = page.text_content("#sql_query")
893 assert displayed is not None
894 assert displayed.strip() == sql
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'm gathering updated lines and summarizing the changes before checking the commit log.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# git log -1 --stat
commit b8e82a21b00058177aa038197a770a60852d84c5 (HEAD -> work)
Author: Codex <codex@openai.com>
Date: Wed May 21 18:18:35 2025 +0000
feat(web): show SQL query under results
scubaduck/static/index.html | 6 ++++++
tests/test_web.py | 15 +++++++++++++++
2 files changed, 21 insertions(+)
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll capture the relevant lines from index.html (1149-1157) and note tests passing.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# nl -ba scubaduck/static/inde
x.html | sed -n '1145,1158p'
1145 }
1146 originalRows = data.rows.slice();
1147 sortState = {index: null, dir: null};
1148 renderTable(originalRows);
1149 }
1150 const sqlEl = document.createElement('pre');
1151 sqlEl.id = 'sql_query';
1152 sqlEl.style.whiteSpace = 'pre-wrap';
1153 sqlEl.style.marginTop = '10px';
1154 sqlEl.textContent = data.sql;
1155 view.appendChild(sqlEl);
1156 document.getElementById('query_info').textContent =
1157 `Your query took about ${lastQueryTime} ms`;
1158 }
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’ll determine the line ranges for the new test.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# nl -ba tests/test_web.py | s
ed -n '880,897p'
880
881
882 def test_sql_query_display(page: Any, server_url: str) -> None:
883 data = run_query(
884 page,
885 server_url,
886 start="2024-01-01 00:00:00",
887 end="2024-01-02 00:00:00",
888 order_by="timestamp",
889 limit=10,
890 )
891 sql = data["sql"]
892 displayed = page.text_content("#sql_query")
893 assert displayed is not None
894 assert displayed.strip() == sql
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I'll reference the commit and capture the test results, noting 64 passed from pytest.
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck# ^C
(scubaduck) root@72b13f1ff2f4:/workspace/scubaduck#I’ll make sure to reference the 'f43f1e' chunk ID before finalizing the PR.