Task ID: task_e_682e45c595588323a0a9ce7c9bd4adc8
typing-extensions ------------------------------ 32.00 KiB/44.73 KiB
pytest-xdist ------------------------------ 16.00 KiB/45.03 KiB
requests ------------------------------ 30.88 KiB/63.41 KiB
packaging ------------------------------ 14.88 KiB/64.91 KiB
text-unidecode ------------------------------ 48.00 KiB/76.32 KiB
click ------------------------------ 0 B/99.76 KiB
flask ------------------------------ 14.88 KiB/100.88 KiB
urllib3 ------------------------------ 14.88 KiB/125.66 KiB
jinja2 ------------------------------ 0 B/131.74 KiB
charset-normalizer ------------------------------ 77.73 KiB/145.08 KiB
certifi ------------------------------ 110.88 KiB/155.88 KiB
werkzeug ------------------------------ 16.00 KiB/219.24 KiB
python-dateutil ------------------------------ 158.41 KiB/224.50 KiB
pytest ------------------------------ 126.36 KiB/335.58 KiB
greenlet ------------------------------ 0 B/589.71 KiB
pyright ------------------------------ 78.91 KiB/5.31 MiB
ruff ------------------------------ 0 B/11.02 MiB
duckdb ------------------------------ 46.06 KiB/19.27 MiB
playwright ------------------------------ 48.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
itsdangerous ------------------------------ 0 B/15.85 KiB
nodeenv ------------------------------ 16.00 KiB/21.79 KiB
typing-extensions ------------------------------ 32.00 KiB/44.73 KiB
pytest-xdist ------------------------------ 16.00 KiB/45.03 KiB
requests ------------------------------ 30.88 KiB/63.41 KiB
packaging ------------------------------ 14.88 KiB/64.91 KiB
text-unidecode ------------------------------ 48.00 KiB/76.32 KiB
click ------------------------------ 0 B/99.76 KiB
flask ------------------------------ 14.88 KiB/100.88 KiB
urllib3 ------------------------------ 14.88 KiB/125.66 KiB
jinja2 ------------------------------ 0 B/131.74 KiB
charset-normalizer ------------------------------ 77.73 KiB/145.08 KiB
certifi ------------------------------ 110.88 KiB/155.88 KiB
werkzeug ------------------------------ 16.00 KiB/219.24 KiB
python-dateutil ------------------------------ 158.41 KiB/224.50 KiB
pytest ------------------------------ 126.36 KiB/335.58 KiB
greenlet ------------------------------ 0 B/589.71 KiB
pyright ------------------------------ 78.91 KiB/5.31 MiB
ruff ------------------------------ 0 B/11.02 MiB
duckdb ------------------------------ 46.06 KiB/19.27 MiB
playwright ------------------------------ 48.00 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 6.90 KiB/15.36 KiB
itsdangerous ------------------------------ 8.00 KiB/15.85 KiB
execnet ------------------------------ 6.87 KiB/39.66 KiB
typing-extensions ------------------------------ 44.73 KiB/44.73 KiB
pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 46.88 KiB/64.91 KiB
text-unidecode ------------------------------ 76.32 KiB/76.32 KiB
click ------------------------------ 16.00 KiB/99.76 KiB
flask ------------------------------ 46.88 KiB/100.88 KiB
urllib3 ------------------------------ 46.88 KiB/125.66 KiB
jinja2 ------------------------------ 8.00 KiB/131.74 KiB
charset-normalizer ------------------------------ 125.73 KiB/145.08 KiB
certifi ------------------------------ 155.88 KiB/155.88 KiB
werkzeug ------------------------------ 64.00 KiB/219.24 KiB
python-dateutil ------------------------------ 222.41 KiB/224.50 KiB
pytest ------------------------------ 190.36 KiB/335.58 KiB
greenlet ------------------------------ 16.00 KiB/589.71 KiB
pyright ------------------------------ 206.91 KiB/5.31 MiB
ruff ------------------------------ 16.00 KiB/11.02 MiB
duckdb ------------------------------ 190.06 KiB/19.27 MiB
playwright ------------------------------ 77.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 6.90 KiB/15.36 KiB
itsdangerous ------------------------------ 8.00 KiB/15.85 KiB
execnet ------------------------------ 14.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 32.00 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 46.88 KiB/64.91 KiB
text-unidecode ------------------------------ 76.32 KiB/76.32 KiB
click ------------------------------ 16.00 KiB/99.76 KiB
flask ------------------------------ 46.88 KiB/100.88 KiB
urllib3 ------------------------------ 46.88 KiB/125.66 KiB
jinja2 ------------------------------ 8.00 KiB/131.74 KiB
charset-normalizer ------------------------------ 125.73 KiB/145.08 KiB
certifi ------------------------------ 155.88 KiB/155.88 KiB
werkzeug ------------------------------ 64.00 KiB/219.24 KiB
python-dateutil ------------------------------ 222.41 KiB/224.50 KiB
pytest ------------------------------ 190.36 KiB/335.58 KiB
greenlet ------------------------------ 16.00 KiB/589.71 KiB
pyright ------------------------------ 254.91 KiB/5.31 MiB
ruff ------------------------------ 32.00 KiB/11.02 MiB
duckdb ------------------------------ 222.06 KiB/19.27 MiB
playwright ------------------------------ 77.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
itsdangerous ------------------------------ 15.85 KiB/15.85 KiB
execnet ------------------------------ 30.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 62.88 KiB/64.91 KiB
text-unidecode ------------------------------ 76.32 KiB/76.32 KiB
click ------------------------------ 64.00 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 62.88 KiB/125.66 KiB
jinja2 ------------------------------ 30.88 KiB/131.74 KiB
charset-normalizer ------------------------------ 141.73 KiB/145.08 KiB
werkzeug ------------------------------ 79.83 KiB/219.24 KiB
python-dateutil ------------------------------ 222.41 KiB/224.50 KiB
pytest ------------------------------ 190.36 KiB/335.58 KiB
greenlet ------------------------------ 16.00 KiB/589.71 KiB
pyright ------------------------------ 318.91 KiB/5.31 MiB
ruff ------------------------------ 48.00 KiB/11.02 MiB
duckdb ------------------------------ 302.06 KiB/19.27 MiB
playwright ------------------------------ 77.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
itsdangerous ------------------------------ 15.85 KiB/15.85 KiB
execnet ------------------------------ 30.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
requests ------------------------------ 63.41 KiB/63.41 KiB
packaging ------------------------------ 62.88 KiB/64.91 KiB
click ------------------------------ 64.00 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 62.88 KiB/125.66 KiB
jinja2 ------------------------------ 30.88 KiB/131.74 KiB
charset-normalizer ------------------------------ 141.73 KiB/145.08 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
python-dateutil ------------------------------ 224.50 KiB/224.50 KiB
pytest ------------------------------ 190.36 KiB/335.58 KiB
greenlet ------------------------------ 32.00 KiB/589.71 KiB
pyright ------------------------------ 350.91 KiB/5.31 MiB
ruff ------------------------------ 64.00 KiB/11.02 MiB
duckdb ------------------------------ 334.06 KiB/19.27 MiB
playwright ------------------------------ 93.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
itsdangerous ------------------------------ 15.85 KiB/15.85 KiB
execnet ------------------------------ 30.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
packaging ------------------------------ 62.88 KiB/64.91 KiB
click ------------------------------ 64.00 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 62.88 KiB/125.66 KiB
jinja2 ------------------------------ 30.88 KiB/131.74 KiB
charset-normalizer ------------------------------ 141.73 KiB/145.08 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
python-dateutil ------------------------------ 224.50 KiB/224.50 KiB
pytest ------------------------------ 190.36 KiB/335.58 KiB
greenlet ------------------------------ 32.00 KiB/589.71 KiB
pyright ------------------------------ 366.91 KiB/5.31 MiB
ruff ------------------------------ 80.00 KiB/11.02 MiB
duckdb ------------------------------ 334.06 KiB/19.27 MiB
playwright ------------------------------ 93.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
itsdangerous ------------------------------ 15.85 KiB/15.85 KiB
execnet ------------------------------ 30.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
packaging ------------------------------ 62.88 KiB/64.91 KiB
click ------------------------------ 64.00 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 78.88 KiB/125.66 KiB
jinja2 ------------------------------ 30.88 KiB/131.74 KiB
charset-normalizer ------------------------------ 141.73 KiB/145.08 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
pytest ------------------------------ 190.36 KiB/335.58 KiB
greenlet ------------------------------ 32.00 KiB/589.71 KiB
pyright ------------------------------ 382.91 KiB/5.31 MiB
ruff ------------------------------ 96.00 KiB/11.02 MiB
duckdb ------------------------------ 334.06 KiB/19.27 MiB
playwright ------------------------------ 93.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
itsdangerous ------------------------------ 15.85 KiB/15.85 KiB
execnet ------------------------------ 30.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
packaging ------------------------------ 62.88 KiB/64.91 KiB
click ------------------------------ 64.00 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 78.88 KiB/125.66 KiB
jinja2 ------------------------------ 46.88 KiB/131.74 KiB
charset-normalizer ------------------------------ 141.73 KiB/145.08 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
pytest ------------------------------ 206.36 KiB/335.58 KiB
greenlet ------------------------------ 32.00 KiB/589.71 KiB
pyright ------------------------------ 408.56 KiB/5.31 MiB
ruff ------------------------------ 112.00 KiB/11.02 MiB
duckdb ------------------------------ 366.06 KiB/19.27 MiB
playwright ------------------------------ 93.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
itsdangerous ------------------------------ 15.85 KiB/15.85 KiB
execnet ------------------------------ 30.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
click ------------------------------ 80.00 KiB/99.76 KiB
flask ------------------------------ 62.88 KiB/100.88 KiB
urllib3 ------------------------------ 78.88 KiB/125.66 KiB
jinja2 ------------------------------ 75.67 KiB/131.74 KiB
charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
pytest ------------------------------ 222.36 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 488.56 KiB/5.31 MiB
ruff ------------------------------ 208.00 KiB/11.02 MiB
duckdb ------------------------------ 462.06 KiB/19.27 MiB
playwright ------------------------------ 93.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
execnet ------------------------------ 30.87 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
click ------------------------------ 80.00 KiB/99.76 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 78.88 KiB/125.66 KiB
jinja2 ------------------------------ 75.67 KiB/131.74 KiB
charset-normalizer ------------------------------ 145.08 KiB/145.08 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
pytest ------------------------------ 222.36 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 504.56 KiB/5.31 MiB
ruff ------------------------------ 224.00 KiB/11.02 MiB
duckdb ------------------------------ 478.06 KiB/19.27 MiB
playwright ------------------------------ 93.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
pyee ------------------------------ 15.36 KiB/15.36 KiB
execnet ------------------------------ 39.66 KiB/39.66 KiB
pytest-xdist ------------------------------ 45.03 KiB/45.03 KiB
click ------------------------------ 80.00 KiB/99.76 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 78.88 KiB/125.66 KiB
jinja2 ------------------------------ 91.67 KiB/131.74 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
pytest ------------------------------ 222.36 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 520.56 KiB/5.31 MiB
ruff ------------------------------ 240.00 KiB/11.02 MiB
duckdb ------------------------------ 494.06 KiB/19.27 MiB
playwright ------------------------------ 93.18 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
click ------------------------------ 80.00 KiB/99.76 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 78.88 KiB/125.66 KiB
jinja2 ------------------------------ 91.67 KiB/131.74 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
pytest ------------------------------ 222.36 KiB/335.58 KiB
greenlet ------------------------------ 48.00 KiB/589.71 KiB
pyright ------------------------------ 520.56 KiB/5.31 MiB
ruff ------------------------------ 240.00 KiB/11.02 MiB
duckdb ------------------------------ 494.06 KiB/19.27 MiB
playwright ------------------------------ 109.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
click ------------------------------ 80.00 KiB/99.76 KiB
flask ------------------------------ 78.88 KiB/100.88 KiB
urllib3 ------------------------------ 78.88 KiB/125.66 KiB
jinja2 ------------------------------ 91.67 KiB/131.74 KiB
werkzeug ------------------------------ 95.83 KiB/219.24 KiB
pytest ------------------------------ 222.36 KiB/335.58 KiB
greenlet ------------------------------ 63.59 KiB/589.71 KiB
pyright ------------------------------ 536.56 KiB/5.31 MiB
ruff ------------------------------ 256.00 KiB/11.02 MiB
duckdb ------------------------------ 510.06 KiB/19.27 MiB
playwright ------------------------------ 109.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
execnet ------------------------------ 39.66 KiB/39.66 KiB
flask ------------------------------ 100.88 KiB/100.88 KiB
urllib3 ------------------------------ 94.88 KiB/125.66 KiB
jinja2 ------------------------------ 123.67 KiB/131.74 KiB
werkzeug ------------------------------ 127.83 KiB/219.24 KiB
pytest ------------------------------ 238.36 KiB/335.58 KiB
greenlet ------------------------------ 175.59 KiB/589.71 KiB
pyright ------------------------------ 696.56 KiB/5.31 MiB
ruff ------------------------------ 416.00 KiB/11.02 MiB
duckdb ------------------------------ 670.06 KiB/19.27 MiB
playwright ------------------------------ 109.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
flask ------------------------------ 100.88 KiB/100.88 KiB
urllib3 ------------------------------ 94.88 KiB/125.66 KiB
jinja2 ------------------------------ 123.67 KiB/131.74 KiB
werkzeug ------------------------------ 127.83 KiB/219.24 KiB
pytest ------------------------------ 238.36 KiB/335.58 KiB
greenlet ------------------------------ 223.59 KiB/589.71 KiB
pyright ------------------------------ 728.56 KiB/5.31 MiB
ruff ------------------------------ 464.00 KiB/11.02 MiB
duckdb ------------------------------ 718.06 KiB/19.27 MiB
playwright ------------------------------ 109.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
urllib3 ------------------------------ 110.88 KiB/125.66 KiB
jinja2 ------------------------------ 131.74 KiB/131.74 KiB
werkzeug ------------------------------ 143.83 KiB/219.24 KiB
pytest ------------------------------ 270.36 KiB/335.58 KiB
greenlet ------------------------------ 367.59 KiB/589.71 KiB
pyright ------------------------------ 872.56 KiB/5.31 MiB
ruff ------------------------------ 603.00 KiB/11.02 MiB
duckdb ------------------------------ 862.06 KiB/19.27 MiB
playwright ------------------------------ 189.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
urllib3 ------------------------------ 125.66 KiB/125.66 KiB
werkzeug ------------------------------ 143.83 KiB/219.24 KiB
pytest ------------------------------ 286.36 KiB/335.58 KiB
greenlet ------------------------------ 463.59 KiB/589.71 KiB
pyright ------------------------------ 979.56 KiB/5.31 MiB
ruff ------------------------------ 715.00 KiB/11.02 MiB
duckdb ------------------------------ 958.06 KiB/19.27 MiB
playwright ------------------------------ 253.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠙ Preparing packages... (0/33)
urllib3 ------------------------------ 125.66 KiB/125.66 KiB
werkzeug ------------------------------ 159.83 KiB/219.24 KiB
pytest ------------------------------ 318.36 KiB/335.58 KiB
greenlet ------------------------------ 463.59 KiB/589.71 KiB
pyright ------------------------------ 1.05 MiB/5.31 MiB
ruff ------------------------------ 811.00 KiB/11.02 MiB
duckdb ------------------------------ 1.03 MiB/19.27 MiB
playwright ------------------------------ 333.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
werkzeug ------------------------------ 159.83 KiB/219.24 KiB
pytest ------------------------------ 318.36 KiB/335.58 KiB
greenlet ------------------------------ 463.59 KiB/589.71 KiB
pyright ------------------------------ 1.08 MiB/5.31 MiB
ruff ------------------------------ 843.00 KiB/11.02 MiB
duckdb ------------------------------ 1.08 MiB/19.27 MiB
playwright ------------------------------ 365.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
werkzeug ------------------------------ 207.83 KiB/219.24 KiB
greenlet ------------------------------ 479.59 KiB/589.71 KiB
pyright ------------------------------ 1.33 MiB/5.31 MiB
ruff ------------------------------ 1.18 MiB/11.02 MiB
duckdb ------------------------------ 1.45 MiB/19.27 MiB
playwright ------------------------------ 749.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
greenlet ------------------------------ 495.59 KiB/589.71 KiB
pyright ------------------------------ 1.47 MiB/5.31 MiB
ruff ------------------------------ 1.32 MiB/11.02 MiB
duckdb ------------------------------ 1.57 MiB/19.27 MiB
playwright ------------------------------ 893.18 KiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
greenlet ------------------------------ 511.59 KiB/589.71 KiB
pyright ------------------------------ 1.78 MiB/5.31 MiB
ruff ------------------------------ 1.75 MiB/11.02 MiB
duckdb ------------------------------ 2.01 MiB/19.27 MiB
playwright ------------------------------ 1.31 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
pyright ------------------------------ 1.81 MiB/5.31 MiB
ruff ------------------------------ 2.69 MiB/11.02 MiB
duckdb ------------------------------ 2.98 MiB/19.27 MiB
playwright ------------------------------ 2.27 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
pyright ------------------------------ 1.83 MiB/5.31 MiB
ruff ------------------------------ 2.94 MiB/11.02 MiB
duckdb ------------------------------ 3.25 MiB/19.27 MiB
playwright ------------------------------ 2.50 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
pyright ------------------------------ 1.89 MiB/5.31 MiB
ruff ------------------------------ 4.37 MiB/11.02 MiB
duckdb ------------------------------ 4.69 MiB/19.27 MiB
playwright ------------------------------ 4.02 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠹ Preparing packages... (24/33)
pyright ------------------------------ 1.95 MiB/5.31 MiB
ruff ------------------------------ 5.62 MiB/11.02 MiB
duckdb ------------------------------ 5.96 MiB/19.27 MiB
playwright ------------------------------ 5.26 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (28/33)
pyright ------------------------------ 2.02 MiB/5.31 MiB
ruff ------------------------------ 7.16 MiB/11.02 MiB
duckdb ------------------------------ 7.50 MiB/19.27 MiB
playwright ------------------------------ 6.84 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (28/33)
pyright ------------------------------ 2.10 MiB/5.31 MiB
ruff ------------------------------ 8.77 MiB/11.02 MiB
duckdb ------------------------------ 9.09 MiB/19.27 MiB
playwright ------------------------------ 8.37 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (28/33)
pyright ------------------------------ 2.14 MiB/5.31 MiB
ruff ------------------------------ 10.19 MiB/11.02 MiB
duckdb ------------------------------ 10.51 MiB/19.27 MiB
playwright ------------------------------ 9.84 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (28/33)
pyright ------------------------------ 2.16 MiB/5.31 MiB
duckdb ------------------------------ 11.39 MiB/19.27 MiB
playwright ------------------------------ 10.70 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠸ Preparing packages... (28/33)
pyright ------------------------------ 2.17 MiB/5.31 MiB
duckdb ------------------------------ 12.33 MiB/19.27 MiB
playwright ------------------------------ 11.62 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (29/33)
pyright ------------------------------ 2.22 MiB/5.31 MiB
duckdb ------------------------------ 14.72 MiB/19.27 MiB
playwright ------------------------------ 13.95 MiB/43.05 MiB
Building scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (29/33)
pyright ------------------------------ 2.25 MiB/5.31 MiB
duckdb ------------------------------ 17.00 MiB/19.27 MiB
playwright ------------------------------ 16.29 MiB/43.05 MiB
Built scubaduck @ file:///workspace/scubaduck
⠼ Preparing packages... (29/33)
pyright ------------------------------ 2.34 MiB/5.31 MiB
duckdb ------------------------------ 18.87 MiB/19.27 MiB
playwright ------------------------------ 18.15 MiB/43.05 MiB
⠼ Preparing packages... (29/33)
pyright ------------------------------ 2.36 MiB/5.31 MiB
duckdb ------------------------------ 18.94 MiB/19.27 MiB
playwright ------------------------------ 18.23 MiB/43.05 MiB
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pyright ------------------------------ 2.41 MiB/5.31 MiB
playwright ------------------------------ 20.19 MiB/43.05 MiB
⠼ Preparing packages... (29/33)
pyright ------------------------------ 2.41 MiB/5.31 MiB
playwright ------------------------------ 21.78 MiB/43.05 MiB
⠴ Preparing packages... (31/33)
pyright ------------------------------ 2.45 MiB/5.31 MiB
playwright ------------------------------ 26.31 MiB/43.05 MiB
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pyright ------------------------------ 2.62 MiB/5.31 MiB
playwright ------------------------------ 27.78 MiB/43.05 MiB
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pyright ------------------------------ 2.75 MiB/5.31 MiB
playwright ------------------------------ 29.84 MiB/43.05 MiB
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pyright ------------------------------ 2.89 MiB/5.31 MiB
playwright ------------------------------ 31.32 MiB/43.05 MiB
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pyright ------------------------------ 3.05 MiB/5.31 MiB
playwright ------------------------------ 33.31 MiB/43.05 MiB
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pyright ------------------------------ 3.22 MiB/5.31 MiB
playwright ------------------------------ 34.86 MiB/43.05 MiB
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pyright ------------------------------ 3.33 MiB/5.31 MiB
playwright ------------------------------ 36.64 MiB/43.05 MiB
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pyright ------------------------------ 3.50 MiB/5.31 MiB
playwright ------------------------------ 38.50 MiB/43.05 MiB
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pyright ------------------------------ 3.70 MiB/5.31 MiB
playwright ------------------------------ 40.03 MiB/43.05 MiB
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pyright ------------------------------ 3.84 MiB/5.31 MiB
playwright ------------------------------ 41.11 MiB/43.05 MiB
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pyright ------------------------------ 4.19 MiB/5.31 MiB
playwright ------------------------------ 42.23 MiB/43.05 MiB
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pyright ------------------------------ 4.22 MiB/5.31 MiB
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pyright ------------------------------ 4.42 MiB/5.31 MiB
⠇ Preparing packages... (32/33)
pyright ------------------------------ 4.59 MiB/5.31 MiB
⠇ Preparing packages... (32/33)
Prepared 33 packages in 1.45s
░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels...
░░░░░░░░░░░░░░░░░░░░ [0/33] Installing wheels...
░░░░░░░░░░░░░░░░░░░░ [0/33] pluggy==1.6.0
░░░░░░░░░░░░░░░░░░░░ [1/33] pluggy==1.6.0
░░░░░░░░░░░░░░░░░░░░ [1/33] iniconfig==2.1.0
█░░░░░░░░░░░░░░░░░░░ [2/33] iniconfig==2.1.0
█░░░░░░░░░░░░░░░░░░░ [2/33] requests==2.32.3
█░░░░░░░░░░░░░░░░░░░ [3/33] requests==2.32.3
█░░░░░░░░░░░░░░░░░░░ [3/33] itsdangerous==2.2.0
██░░░░░░░░░░░░░░░░░░ [4/33] itsdangerous==2.2.0
██░░░░░░░░░░░░░░░░░░ [4/33] python-slugify==8.0.4
███░░░░░░░░░░░░░░░░░ [5/33] python-slugify==8.0.4
███░░░░░░░░░░░░░░░░░ [5/33] nodeenv==1.9.1
███░░░░░░░░░░░░░░░░░ [6/33] nodeenv==1.9.1
███░░░░░░░░░░░░░░░░░ [6/33] blinker==1.9.0
████░░░░░░░░░░░░░░░░ [7/33] text-unidecode==1.3
████░░░░░░░░░░░░░░░░ [8/33] text-unidecode==1.3
████░░░░░░░░░░░░░░░░ [8/33] typing-extensions==4.13.2
█████░░░░░░░░░░░░░░░ [9/33] typing-extensions==4.13.2
█████░░░░░░░░░░░░░░░ [9/33] typing-extensions==4.13.2
███████████████████░ [32/33] pyright==1.1.400
Installed 33 packages in 82ms
+ 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/JDCRk1-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% 35.9s167.7 MiB [] 0% 30.0s167.7 MiB [] 0% 20.3s167.7 MiB [] 0% 12.4s167.7 MiB [] 1% 7.5s167.7 MiB [] 1% 5.7s167.7 MiB [] 2% 4.4s167.7 MiB [] 4% 2.9s167.7 MiB [] 5% 2.7s167.7 MiB [] 5% 2.6s167.7 MiB [] 6% 2.4s167.7 MiB [] 8% 2.0s167.7 MiB [] 10% 1.9s167.7 MiB [] 11% 1.8s167.7 MiB [] 13% 1.5s167.7 MiB [] 15% 1.4s167.7 MiB [] 16% 1.4s167.7 MiB [] 18% 1.3s167.7 MiB [] 19% 1.2s167.7 MiB [] 20% 1.2s167.7 MiB [] 22% 1.2s167.7 MiB [] 24% 1.1s167.7 MiB [] 26% 1.0s167.7 MiB [] 27% 1.0s167.7 MiB [] 29% 1.0s167.7 MiB [] 31% 0.9s167.7 MiB [] 33% 0.9s167.7 MiB [] 35% 0.8s167.7 MiB [] 38% 0.8s167.7 MiB [] 40% 0.7s167.7 MiB [] 42% 0.7s167.7 MiB [] 44% 0.6s167.7 MiB [] 46% 0.6s167.7 MiB [] 48% 0.6s167.7 MiB [] 50% 0.6s167.7 MiB [] 52% 0.5s167.7 MiB [] 54% 0.5s167.7 MiB [] 55% 0.5s167.7 MiB [] 57% 0.5s167.7 MiB [] 59% 0.4s167.7 MiB [] 61% 0.4s167.7 MiB [] 63% 0.4s167.7 MiB [] 65% 0.4s167.7 MiB [] 67% 0.3s167.7 MiB [] 70% 0.3s167.7 MiB [] 72% 0.3s167.7 MiB [] 74% 0.3s167.7 MiB [] 76% 0.2s167.7 MiB [] 78% 0.2s167.7 MiB [] 80% 0.2s167.7 MiB [] 83% 0.2s167.7 MiB [] 85% 0.1s167.7 MiB [] 87% 0.1s167.7 MiB [] 89% 0.1s167.7 MiB [] 92% 0.1s167.7 MiB [] 94% 0.1s167.7 MiB [] 96% 0.0s167.7 MiB [] 98% 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 [] 2% 0.8s2.3 MiB [] 8% 0.4s2.3 MiB [] 18% 0.2s2.3 MiB [] 42% 0.1s2.3 MiB [] 62% 0.1s2.3 MiB [] 99% 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% 18.9s101.4 MiB [] 0% 17.2s101.4 MiB [] 0% 11.6s101.4 MiB [] 0% 7.1s101.4 MiB [] 2% 3.9s101.4 MiB [] 3% 2.9s101.4 MiB [] 4% 2.2s101.4 MiB [] 7% 1.7s101.4 MiB [] 9% 1.3s101.4 MiB [] 12% 1.1s101.4 MiB [] 15% 1.0s101.4 MiB [] 17% 0.9s101.4 MiB [] 21% 0.7s101.4 MiB [] 24% 0.7s101.4 MiB [] 28% 0.6s101.4 MiB [] 32% 0.6s101.4 MiB [] 36% 0.5s101.4 MiB [] 41% 0.4s101.4 MiB [] 45% 0.4s101.4 MiB [] 50% 0.3s101.4 MiB [] 53% 0.3s101.4 MiB [] 56% 0.3s101.4 MiB [] 59% 0.3s101.4 MiB [] 63% 0.2s101.4 MiB [] 66% 0.2s101.4 MiB [] 69% 0.2s101.4 MiB [] 73% 0.2s101.4 MiB [] 76% 0.1s101.4 MiB [] 79% 0.1s101.4 MiB [] 82% 0.1s101.4 MiB [] 86% 0.1s101.4 MiB [] 89% 0.1s101.4 MiB [] 90% 0.1s101.4 MiB [] 94% 0.0s101.4 MiB [] 97% 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'm checking the repository structure to get ready for the bug fix or improvement.
I'm reviewing the project's folder setup to understand how things are organized.
root@715cdb832de4:/workspace# ls
scubaduckroot@715cdb832de4:/workspace# cd scubaduck
root@715cdb832de4:/workspace/scubaduck# ls
AGENTS.md codex_setup.sh scubaduck tests
README.md pyproject.toml stubs uv.lockLet's take a look at AGENTS.md to see if there's anything I should know.
root@715cdb832de4:/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 check the repo and follow AGENTS' instructions—starting with activating the virtual environment.
root@715cdb832de4:/workspace/scubaduck# ls
AGENTS.md codex_setup.sh scubaduck tests
README.md pyproject.toml stubs uv.lockroot@715cdb832de4:/workspace/scubaduck# source .venv/bin/activate
(scubaduck) root@715cdb832de4:/workspace/scubaduck#The bug fix needs to adjust the LIMIT calculation by adjusting for expected buckets.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# grep -R "LIMIT" -n scubaduck
| head -n 20
scubaduck/server.py:229: query += f" LIMIT {params.limit}"
scubaduck/server.py:276: query += f" LIMIT {params.limit}"
scubaduck/server.py:304: CACHE_LIMIT = 200
scubaduck/server.py:340: if len(sample_cache) > CACHE_LIMIT:
scubaduck/server.py:360: f"SELECT DISTINCT {column} FROM \"{table}\"
WHERE CAST({column} AS VARCHAR) ILIKE '%' || ? || '%' LIMIT 20",
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll check the lines around 229 in server.py for uses of LIMIT.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '200,250p' scubaduck/
server.py
)
return f"{agg}({col})"
for col in params.columns:
if col in group_cols:
continue
select_parts.append(f"{agg_expr(col)} AS {col}")
if params.show_hits:
select_parts.insert(len(group_cols), "count(*) AS Hits")
else:
select_parts.extend(params.columns)
if has_agg and params.derived_columns:
inner_params = replace(
params,
derived_columns={},
order_by=None,
limit=None,
)
inner_sql = build_query(inner_params, column_types)
outer_select = ["t.*"] + [
f"{expr} AS {name}" for name, expr in params.derived_columns.items()
]
query = f"SELECT {', '.join(outer_select)} FROM ({inner_sql}) t"
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
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 "{params.table}"'
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
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I need to scroll further past 250 lines to capture the full content.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '250,300p' scubaduck/
server.py
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")
if db_file is None:
env_db = os.environ.get("SCUBADUCK_DB")
if env_db:
db_file = env_db
db_path = Path(db_file or Path(__file__).with_name("sample.csv")).resolve()
con = _load_database(db_path)
tables = [r[0] for r in con.execute("SHOW TABLES").fetchall()]
if not tables:
raise ValueError("No tables found in database")
default_table = tables[0]
columns_cache: Dict[str, Dict[str, str]] = {}
def get_columns(table: str) -> Dict[str, str]:
if table not in columns_cache:
rows = con.execute(f'PRAGMA table_info("{table}")').fetchall()
if not rows:
raise ValueError(f"Unknown table: {table}")
columns_cache[table] = {r[1]: r[2] for r in rows}
return columns_cache[table]
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I’m looking for the second LIMIT clause nearby, just after line 276.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '260,320p' scubaduck/
server.py
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")
if db_file is None:
env_db = os.environ.get("SCUBADUCK_DB")
if env_db:
db_file = env_db
db_path = Path(db_file or Path(__file__).with_name("sample.csv")).resolve()
con = _load_database(db_path)
tables = [r[0] for r in con.execute("SHOW TABLES").fetchall()]
if not tables:
raise ValueError("No tables found in database")
default_table = tables[0]
columns_cache: Dict[str, Dict[str, str]] = {}
def get_columns(table: str) -> Dict[str, str]:
if table not in columns_cache:
rows = con.execute(f'PRAGMA table_info("{table}")').fetchall()
if not rows:
raise ValueError(f"Unknown table: {table}")
columns_cache[table] = {r[1]: r[2] for r in rows}
return columns_cache[table]
sample_cache: Dict[Tuple[str, str, str], Tuple[List[str], float]] = {}
CACHE_TTL = 60.0
CACHE_LIMIT = 200
@app.route("/")
def index() -> Any: # pyright: ignore[reportUnusedFunction]
assert app.static_folder is not None
return send_from_directory(app.static_folder, "index.html")
@app.route("/js/<path:filename>")
def js(filename: str) -> Any: # pyright: ignore[reportUnusedFunction]
assert app.static_folder is not None
folder = Path(app.static_folder) / "js"
return send_from_directory(folder, filename)
@app.route("/api/tables")
def tables_endpoint() -> Any: # pyright: ignore[reportUnusedFunction]
return jsonify(tables)
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'm searching for information on "timeseries" to understand the context better.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# grep -n "timeseries" -n scub
aduck/server.py
165: if params.graph_type == "timeseries":
183: group_cols[1:] if params.graph_type == "timeseries" else group_c
ols
226: elif params.graph_type == "timeseries":
273: elif params.graph_type == "timeseries":
401: if params.graph_type not in {"table", "timeseries"} and (
407: "error": "group_by, aggregate and show_hits are only
valid for table or timeseries view"
415: if params.graph_type == "timeseries":
435: if params.group_by or params.graph_type == "timeseries":
503: if params.graph_type == "timeseries":
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I’ll check around those lines to understand how the timeseries query is implemented.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '160,200p' scubaduck/
server.py
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"
if params.start:
bucket_expr = (
f"TIMESTAMP '{params.start}' + INTERVAL '{sec} second' * "
f"CAST(floor((epoch({x_axis}) - epoch(TIMESTAMP '{params.start}'
))/{sec}) AS BIGINT)"
)
else:
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
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)"
)
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll need to open more lines later to review additional changes.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '200,250p' scubaduck/
server.py
)
return f"{agg}({col})"
for col in params.columns:
if col in group_cols:
continue
select_parts.append(f"{agg_expr(col)} AS {col}")
if params.show_hits:
select_parts.insert(len(group_cols), "count(*) AS Hits")
else:
select_parts.extend(params.columns)
if has_agg and params.derived_columns:
inner_params = replace(
params,
derived_columns={},
order_by=None,
limit=None,
)
inner_sql = build_query(inner_params, column_types)
outer_select = ["t.*"] + [
f"{expr} AS {name}" for name, expr in params.derived_columns.items()
]
query = f"SELECT {', '.join(outer_select)} FROM ({inner_sql}) t"
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
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 "{params.table}"'
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
(scubaduck) root@715cdb832de4:/workspace/scubaduck#It looks like LIMIT appears near the end, and also around 503. I'll check near line 435.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '430,520p' scubaduck/
server.py
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,
)
if params.start is None or params.end is None:
axis = params.x_axis or "timestamp"
row = cast(
tuple[datetime | None, datetime | None],
con.execute(
f'SELECT min({axis}), max({axis}) FROM "{params.table}"'
).fetchall()[0],
)
mn, mx = row
if params.start is None and mn is not None:
params.start = (
mn.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(mn, str)
else mn
)
if params.end is None and mx is not None:
params.end = (
mx.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(mx, str)
else mx
)
bucket_size: int | None = None
if params.graph_type == "timeseries":
bucket_size = _granularity_seconds(
params.granularity,
params.start if isinstance(params.start, str) else None,
params.end if isinstance(params.end, str) else None,
)
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,
)(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '520,560p' scubaduck/
server.py
result: Dict[str, Any] = {"sql": sql, "rows": rows}
if params.start is not None:
result["start"] = str(params.start)
if params.end is not None:
result["end"] = str(params.end)
if bucket_size is not None:
result["bucket_size"] = bucket_size
return jsonify(result)
return app
app = create_app()
if __name__ == "__main__":
app.run(debug=True)
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll check QueryParams to understand how the UI passes the distinct series limit.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# grep -n "class QueryParams"
-n scubaduck -n
grep: scubaduck: Is a directory(scubaduck) root@715cdb832de4:/workspace/scubaduck# grep -n "QueryParams" -R scu
baduck | head -n 20
scubaduck/server.py:28:class QueryParams:
scubaduck/server.py:162:def build_query(params: QueryParams, column_types: Dict[
str, str] | None = None) -> str:
scubaduck/server.py:376: params = QueryParams((scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '1,80p' scubaduck/ser
ver.py
from __future__ import annotations
from dataclasses import dataclass, field, replace
from typing import Any, Dict, List, Tuple, cast
import re
from datetime import datetime, timedelta, timezone
import time
from pathlib import Path
import os
import sqlite3
import traceback
import duckdb
from dateutil import parser as dtparser
from flask import Flask, jsonify, request, send_from_directory
@dataclass
class Filter:
column: str
op: str
value: str | int | float | list[str] | None
@dataclass
class QueryParams:
start: str | None = None
end: str | None = None
order_by: str | None = None
order_dir: str = "ASC"
limit: int | None = None
columns: list[str] = field(default_factory=lambda: [])
filters: list[Filter] = field(default_factory=lambda: [])
derived_columns: dict[str, str] = field(default_factory=lambda: {})
graph_type: str = "samples"
group_by: list[str] = field(default_factory=lambda: [])
aggregate: str | None = None
show_hits: bool = False
x_axis: str | None = None
granularity: str = "Auto"
fill: str = "0"
table: str = "events"
def _load_database(path: Path) -> duckdb.DuckDBPyConnection:
if not path.exists():
raise FileNotFoundError(path)
ext = path.suffix.lower()
if ext == ".csv":
con = duckdb.connect()
con.execute(
f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{path.as_posix
()}')"
)
elif ext in {".db", ".sqlite"}:
con = duckdb.connect()
try:
con.execute("LOAD sqlite")
con.execute(f"ATTACH '{path.as_posix()}' AS db (TYPE SQLITE)")
tables = [
r[0]
for r in con.execute(
"SELECT name FROM db.sqlite_master WHERE type='table'"
).fetchall()
]
for t in tables:
con.execute(f'CREATE VIEW "{t}" AS SELECT * FROM db."{t}"')
except Exception:
sconn = sqlite3.connect(path)
tables = [
r[0]
for r in sconn.execute(
"SELECT name FROM sqlite_master WHERE type='table'"
).fetchall()
]
for t in tables:
info = sconn.execute(f'PRAGMA table_info("{t}")').fetchall()
col_defs = ", ".join(f"{r[1]} {r[2]}" for r in info)
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I need to adjust the limit based on buckets when graph_type is timeseries.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '360,408p' scubaduck/
server.py
f"SELECT DISTINCT {column} FROM \"{table}\" WHERE CAST({column} AS V
ARCHAR) ILIKE '%' || ? || '%' LIMIT 20",
[substr],
).fetchall()
values = [r[0] for r in rows]
_cache_set(key, values)
return jsonify(values)
@app.route("/api/query", methods=["POST"])
def query() -> Any: # pyright: ignore[reportUnusedFunction]
payload = request.get_json(force=True)
try:
start = parse_time(payload.get("start"))
end = parse_time(payload.get("end"))
except Exception as exc:
return jsonify({"error": str(exc)}), 400
params = QueryParams(
start=start,
end=end,
order_by=payload.get("order_by"),
order_dir=payload.get("order_dir", "ASC"),
limit=payload.get("limit"),
columns=payload.get("columns", []),
derived_columns=payload.get("derived_columns", {}),
graph_type=payload.get("graph_type", "samples"),
group_by=payload.get("group_by", []),
aggregate=payload.get("aggregate"),
show_hits=payload.get("show_hits", False),
x_axis=payload.get("x_axis"),
granularity=payload.get("granularity", "Auto"),
fill=payload.get("fill", "0"),
table=payload.get("table", default_table),
)
for f in payload.get("filters", []):
params.filters.append(Filter(f["column"], f["op"], f.get("value")))
if params.table not in tables:
return jsonify({"error": "Invalid table"}), 400
column_types = get_columns(params.table)
if params.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"
}
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll keep going past 408 lines to see what's next.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '408,462p' scubaduck/
server.py
}
),
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",
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'm checking how bucket_size is calculated in the query() endpoint using _granularity_seconds.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# grep -n "_granularity_second
s" -n scubaduck/server.py
128:def _granularity_seconds(granularity: str, start: str | None, end: str | Non
e) -> int:
166: sec = _granularity_seconds(params.granularity, params.start, params.
end)
504: bucket_size = _granularity_seconds((scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '120,140p' scubaduck/
server.py
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,(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '140,176p' scubaduck/
server.py
"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"
if params.start:
bucket_expr = (
f"TIMESTAMP '{params.start}' + INTERVAL '{sec} second' * "
f"CAST(floor((epoch({x_axis}) - epoch(TIMESTAMP '{params.start}'
))/{sec}) AS BIGINT)"
)
else:
bucket_expr = (
f"TIMESTAMP 'epoch' + INTERVAL '{sec} second' * "
f"CAST(floor(epoch({x_axis})/{sec}) AS BIGINT)"
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I think the bug is in how the limit is computed during query parsing. Let's check tests for clarity.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# ls tests
conftest.py test_server.py test_web.py(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '1,160p' tests/test_s
erver.py
from __future__ import annotations
import json
from pathlib import Path
from typing import cast
import duckdb
from scubaduck import server
import pytest
def test_basic_query() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-02 00:00:00",
"order_by": "timestamp",
"order_dir": "ASC",
"limit": 10,
"columns": ["timestamp", "event", "value", "user"],
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert data
rows = data["rows"]
# We expect first three rows (until 2024-01-02 00:00:00)
assert len(rows) == 3
assert rows[0][1] == "login"
assert rows[1][1] == "logout"
def test_js_served() -> None:
app = server.app
client = app.test_client()
rv = client.get("/js/chip_input.js")
assert rv.status_code == 200
assert b"initChipInput" in rv.data
def test_filter_multi_token() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-02 03:00:00",
"order_by": "timestamp",
"limit": 10,
"columns": ["timestamp", "event", "value", "user"],
"filters": [{"column": "user", "op": "=", "value": ["alice", "charlie"]}
],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert data
rows = data["rows"]
# Should only return rows for alice and charlie
assert len(rows) == 3
assert rows[0][3] == "alice"
assert rows[-1][3] == "charlie"
def test_empty_filter_is_noop() -> None:
app = server.app
client = app.test_client()
base_payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"limit": 100,
"columns": ["timestamp", "event", "value", "user"],
}
no_filter = {**base_payload, "filters": []}
empty_filter = {
**base_payload,
"filters": [{"column": "user", "op": "=", "value": None}],
}
rv1 = client.post(
"/api/query", data=json.dumps(no_filter), content_type="application/json
"
)
rv2 = client.post(
"/api/query", data=json.dumps(empty_filter), content_type="application/j
son"
)
rows1 = rv1.get_json()["rows"]
rows2 = rv2.get_json()["rows"]
assert rows1 == rows2
def test_select_columns() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"order_by": "timestamp",
"limit": 10,
"columns": ["timestamp", "user"],
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert data
rows = data["rows"]
assert len(rows[0]) == 2
assert rows[0][1] == "alice"
def test_string_filter_ops() -> None:
app = server.app
client = app.test_client()
base = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"order_by": "timestamp",
"limit": 100,
"columns": ["timestamp", "event", "value", "user"],
}
contains = {
**base,
"filters": [{"column": "user", "op": "contains", "value": "ali"}],
}
rv = client.post(
"/api/query", data=json.dumps(contains), content_type="application/json"
)
rows = rv.get_json()["rows"]
assert all("ali" in r[3] for r in rows)
regex = {
**base,
"filters": [{"column": "user", "op": "~", "value": "^a.*"}],
}
rv = client.post(
"/api/query", data=json.dumps(regex), content_type="application/json"
)
rows = rv.get_json()["rows"]
assert all(r[3].startswith("a") for r in rows)
assert len(rows) == 2
not_empty = {**base, "filters": [{"column": "user", "op": "!empty"}]}
rv = client.post(
"/api/query", data=json.dumps(not_empty), content_type="application/json
"
)
assert len(rv.get_json()["rows"]) == 4
def _make_payload() -> dict[str, object]:
return {
"table": "events",
"start": "2024-01-01 00:00:00",_server.py
"start": "2024-01-01 00:00:00",
"end": "2024-01-02 00:00:00",
"order_by": "timestamp",
"order_dir": "ASC",
"limit": 10,
"columns": ["timestamp", "event", "value", "user"],
"filters": [],
}
def test_database_types(tmp_path: Path) -> None:
csv_file = tmp_path / "events.csv"
csv_file.write_text(Path("scubaduck/sample.csv").read_text())
sqlite_file = tmp_path / "events.sqlite"
import sqlite3
conn = sqlite3.connect(sqlite_file)
conn.execute(
"CREATE TABLE events (timestamp TEXT, event TEXT, value INTEGER, user TE
XT)"
)
with open(csv_file) as f:
next(f)
for line in f:
ts, ev, val, user = line.strip().split(",")
conn.execute(
"INSERT INTO events VALUES (?, ?, ?, ?)", (ts, ev, int(val), use
r)
)
conn.commit()
conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce
ssIssue]
duckdb_file = tmp_path / "events.duckdb"
con = duckdb.connect(duckdb_file)
con.execute(
f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{csv_file.as_posix
()}')"
)
con.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcces
sIssue]
for db in (csv_file, sqlite_file, duckdb_file):
app = server.create_app(db)
client = app.test_client()
payload = _make_payload()
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/js
on"
)
rows = rv.get_json()["rows"]
assert len(rows) == 3
def test_envvar_db(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None:
csv_file = tmp_path / "custom.csv"
csv_file.write_text("timestamp,event,value,user\n2024-01-01 00:00:00,login,5
,bob\n")
monkeypatch.setenv("SCUBADUCK_DB", str(csv_file))
app = server.create_app()
client = app.test_client()
payload = _make_payload()
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
rows = rv.get_json()["rows"]
assert len(rows) == 1
def test_envvar_db_missing(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> N
one:
missing = tmp_path / "missing.sqlite"
monkeypatch.setenv("SCUBADUCK_DB", str(missing))
with pytest.raises(FileNotFoundError):
server.create_app()
def test_group_by_table() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "table",
"order_by": "user",
"limit": 10,
"columns": ["value"],
"group_by": ["user"],
"aggregate": "Sum",
"show_hits": True,
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
rows = rv.get_json()["rows"]
assert rows[0][0] == "alice"
assert rows[0][1] == 2
assert rows[0][2] == 40
def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None:
app = server.app
client = app.test_client()
from datetime import datetime
fixed_now = datetime(2024, 1, 2, 4, 0, 0)
class FixedDateTime(datetime):
@classmethod
def now(cls, tz=None): # type: ignore[override]
return fixed_now if tz is None else fixed_now.astimezone(tz)
monkeypatch.setattr(server, "datetime", FixedDateTime)
payload = {
"table": "events",
"start": "-1 hour",
"end": "now",
"order_by": "timestamp",
"limit": 100,
"columns": ["timestamp", "event", "value", "user"],
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert len(data["rows"]) == 1
assert data["rows"][0][3] == "charlie"
def test_invalid_time_error() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "nonsense",
"end": "now",
"order_by": "timestamp",
"limit": 10,
"columns": ["timestamp"],
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 400
assert "error" in data
def test_query_error_returns_sql_and_traceback() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"columns": ["event"],
"group_by": ["user"],
"aggregate": "avg",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)def test_table_unknown_column_error() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "table",
"order_by": "timestamp",
"limit": 100,
"columns": ["user", "Hits", "value"],
"group_by": ["user"],
"aggregate": "Count",
"show_hits": True,
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 400
assert "Unknown column" in data["error"]
def test_samples_view_rejects_group_by() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"graph_type": "samples",
"group_by": ["user"],
"columns": ["timestamp"],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 400
assert "only valid" in data["error"]
def test_table_avg_with_timestamp() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "table",
"order_by": "user",
"limit": 100,
"columns": ["user", "timestamp", "value"],
"group_by": ["user"],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert "error" not in data
rows = data["rows"]
assert rows[0][0] == "alice"
from dateutil import parser
ts = parser.parse(rows[0][1]).replace(tzinfo=None)
assert ts == parser.parse("2024-01-01 12:00:00")
def test_timeseries_basic() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 100,
"group_by": ["user"],
"aggregate": "Count",
"columns": ["value"],
"x_axis": "timestamp",
"granularity": "1 day",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert len(data["rows"]) == 4
def test_timeseries_orders_by_xaxis() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 100,
"columns": ["value"],
"x_axis": "timestamp",
"granularity": "1 day",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
rows = data["rows"]
from dateutil import parser
timestamps = [parser.parse(r[0]).replace(tzinfo=None) for r in rows]
assert timestamps == sorted(timestamps)
def test_timeseries_auto_and_fine_buckets() -> None:
app = server.app
client = app.test_client()
def run(gran: str) -> None:
payload = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-02 03:00:00",
"graph_type": "timeseries",
"columns": ["value"],
"x_axis": "timestamp",
"granularity": gran,
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/js
on"
)
data = rv.get_json()
assert rv.status_code == 200
from dateutil import parser
start = parser.parse(cast(str, payload["start"])).replace(tzinfo=None)
buckets = [
parser.parse(cast(str, r[0])).replace(tzinfo=None) for r in data["ro
ws"]
]
assert buckets[0] == start
if len(buckets) > 1:
step = (buckets[1] - buckets[0]).total_seconds()
assert step % data["bucket_size"] == 0
assert any(r[1] != 0 for r in data["rows"])
run("Auto")
run("Fine")
def test_timeseries_string_column_error() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00","end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 7,
"columns": ["timestamp", "event", "value", "user"],
"x_axis": "timestamp",
"granularity": "1 hour",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 400
assert "Aggregate" in data["error"]
def test_derived_column_basic() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"limit": 10,
"columns": ["timestamp"],
"derived_columns": {"val2": "value * 2"},
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert data["rows"][0][1] == 20
def test_timeseries_derived_column() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"granularity": "1 hour",
"limit": 7,
"columns": ["value"],
"derived_columns": {"derived_1": "value * 2"},
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
rows = data["rows"]
assert all(r[2] == r[1] * 2 for r in rows)
def test_default_start_end_returned() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"order_by": "timestamp",
"limit": 5,
"columns": ["timestamp"],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert data["start"] == "2024-01-01 00:00:00"
assert data["end"] == "2024-01-02 03:00:00"(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '640,800p' tests/test
_server.py
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll review the expected timeseries limit by searching for relevant terms like "limit".
s/test_server.py | head -n 20
393:def test_timeseries_basic() -> None:
400: "graph_type": "timeseries",
416:def test_timeseries_orders_by_xaxis() -> None:
423: "graph_type": "timeseries",
441:def test_timeseries_auto_and_fine_buckets() -> None:
449: "graph_type": "timeseries",
475:def test_timeseries_string_column_error() -> None:
482: "graph_type": "timeseries",
516:def test_timeseries_derived_column() -> None:
523: "graph_type": "timeseries",
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'm looking at the lines from 475 to 523 for review.
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/js
on"
)
data = rv.get_json()
assert rv.status_code == 200
from dateutil import parser
start = parser.parse(cast(str, payload["start"])).replace(tzinfo=None)
buckets = [
parser.parse(cast(str, r[0])).replace(tzinfo=None) for r in data["ro
ws"]
]
assert buckets[0] == start
if len(buckets) > 1:
step = (buckets[1] - buckets[0]).total_seconds()
assert step % data["bucket_size"] == 0
assert any(r[1] != 0 for r in data["rows"])
run("Auto")
run("Fine")
def test_timeseries_string_column_error() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 7,
"columns": ["timestamp", "event", "value", "user"],
"x_axis": "timestamp",
"granularity": "1 hour",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 400
assert "Aggregate" in data["error"]
def test_derived_column_basic() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"limit": 10,
"columns": ["timestamp"],
"derived_columns": {"val2": "value * 2"},
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert data["rows"][0][1] == 20
def test_timeseries_derived_column() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"granularity": "1 hour",
"limit": 7,
"columns": ["value"],
"derived_columns": {"derived_1": "value * 2"},
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
rows = data["rows"]
assert all(r[2] == r[1] * 2 for r in rows)
def test_default_start_end_returned() -> None:
app = server.app
client = app.test_client()
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'm thinking that multiplying the limit by bucket count could be done after calculating the bucket_size. This could be simpler to implement within query(), where I set limit initially.
I'll check query() again after verifying start and end to compute bucket_size for timeseries.
server.py
)
bucket_size: int | None = None
if params.graph_type == "timeseries":
bucket_size = _granularity_seconds(
params.granularity,
params.start if isinstance(params.start, str) else None,
params.end if isinstance(params.end, str) else None,
)
sql = build_query(params, column_types)
try:
rows = con.execute(sql).fetchall()
except Exception as exc:
tb = traceback.format_exc()
print(f"Query failed:\n{sql}\n{tb}")
return (
jsonify({"sql": sql, "error": str(exc), "traceback": tb}),
400,
)
result: Dict[str, Any] = {"sql": sql, "rows": rows}
if params.start is not None:
result["start"] = str(params.start)
if params.end is not None:
result["end"] = str(params.end)
if bucket_size is not None:
result["bucket_size"] = bucket_size
return jsonify(result)
return app
app = create_app()
if __name__ == "__main__":
app.run(debug=True)
(scubaduck) root@715cdb832de4:/workspace/scubaduck#To adjust the limit, I’ll compute bucket_count based on start, end, and granularity.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# grep -n "parse_time" -n scub
aduck/server.py
97:def parse_time(val: str | None) -> str | None:
371: start = parse_time(payload.get("start"))
372: end = parse_time(payload.get("end"))placeholders = ",".join("?" for _ in info)
for row in sconn.execute(f'SELECT * FROM "{t}"'):
con.execute(f'INSERT INTO "{t}" VALUES ({placeholders})', ro
w)
sconn.close()
else:
con = duckdb.connect(path)
return con
_REL_RE = re.compile(
r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortnight
s)",
re.IGNORECASE,
)
def parse_time(val: str | None) -> str | None:
"""Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``.""
"
if val is None or val == "":
return None
s = val.strip()
if s.lower() == "now":
dt = datetime.now(timezone.utc)
return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S")
m = _REL_RE.fullmatch(s)
if m:
qty = float(m.group(1))
unit = m.group(2).lower()
delta: timedelta
if unit.startswith("hour"):
delta = timedelta(hours=qty)
elif unit.startswith("day"):
delta = timedelta(days=qty)
elif unit.startswith("week"):
delta = timedelta(weeks=qty)
elif unit.startswith("fortnight"):
delta = timedelta(weeks=2 * qty)
else: # pragma: no cover - defensive
raise ValueError(f"Unsupported unit: {unit}")(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '120,136p' scubaduck/
server.py
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,
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'm calculating bucket count based on time intervals, adjusting for potential limit parameters.
I'm implementing a fix to properly handle timeseries limit and ensure full buckets.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# ls scubaduck
__init__.py sample.csv server.py static(scubaduck) root@715cdb832de4:/workspace/scubaduck# cat scubaduck/sample.csv | h
ead
timestamp,event,value,user
2024-01-01 00:00:00,login,10,alice
2024-01-01 01:00:00,logout,20,bob
2024-01-02 00:00:00,login,30,alice
2024-01-02 03:00:00,login,40,charlie
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I’m figuring out the buckets, but I’m unsure whether to include the last day, 1-3.
I’ll check the query and replicate it with a minimal Python script to investigate.
> from scubaduck import server
> app = server.app
> client = app.test_client()
> import json
> payload = {
> "table": "events",
> "start": "2024-01-01 00:00:00",
> "end": "2024-01-03 00:00:00",
> "graph_type": "timeseries",
> "limit": 100,
> "group_by": ["user"],
> "aggregate": "Count",
> "columns": ["value"],
> "x_axis": "timestamp",
> "granularity": "1 day",
> }
> rv = client.post("/api/query", data=json.dumps(payload), content_type="applica
tion/json")
> print(rv.status_code)
> print(rv.get_json())
> PY
200
{'bucket_size': 86400, 'end': '2024-01-03 00:00:00', 'rows': [['Mon, 01 Jan 2024
00:00:00 GMT', 'bob', 1], ['Mon, 01 Jan 2024 00:00:00 GMT', 'alice', 1], ['Tue,
02 Jan 2024 00:00:00 GMT', 'charlie', 1], ['Tue, 02 Jan 2024 00:00:00 GMT', 'al
ice', 1]], 'sql': 'SELECT TIMESTAMP \'2024-01-01 00:00:00\' + INTERVAL \'86400 s
econd\' * CAST(floor((epoch(timestamp) - epoch(TIMESTAMP \'2024-01-01 00:00:00\'
))/86400) AS BIGINT) AS bucket, user, count(value) AS value FROM "events" WHERE
timestamp >= \'2024-01-01 00:00:00\' AND timestamp <= \'2024-01-03 00:00:00\' GR
OUP BY bucket, user ORDER BY bucket LIMIT 100', 'start': '2024-01-01 00:00:00'}
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I expect 2 rows for each user, but limit 1 is returning only 1.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# python - <<'PY'
> from scubaduck import server
> app = server.app
> client = app.test_client()
> import json
> payload = {
> "table": "events",
> "start": "2024-01-01 00:00:00",
> "end": "2024-01-03 00:00:00",
> "graph_type": "timeseries",
> "limit": 1,
> "group_by": ["user"],
> "aggregate": "Count",
> "columns": ["value"],
> "x_axis": "timestamp",
> "granularity": "1 day",
> }
> rv = client.post("/api/query", data=json.dumps(payload), content_type="applica
tion/json")
> print(rv.status_code)
> print(rv.get_json())
> PY
200
{'bucket_size': 86400, 'end': '2024-01-03 00:00:00', 'rows': [['Mon, 01 Jan 2024
00:00:00 GMT', 'bob', 1]], 'sql': 'SELECT TIMESTAMP \'2024-01-01 00:00:00\' + I
NTERVAL \'86400 second\' * CAST(floor((epoch(timestamp) - epoch(TIMESTAMP \'2024
-01-01 00:00:00\'))/86400) AS BIGINT) AS bucket, user, count(value) AS value FRO
M "events" WHERE timestamp >= \'2024-01-01 00:00:00\' AND timestamp <= \'2024-01
-03 00:00:00\' GROUP BY bucket, user ORDER BY bucket LIMIT 1', 'start': '2024-01
-01 00:00:00'}
(scubaduck) root@715cdb832de4:/workspace/scubaduck#To fix the limit, I'll adjust it by multiplying with bucket_count and handle start/end.
Limit multiplies by bucket count, but results are ordered by bucket, not user.
The test ensures the query sorts by "user" and returns 2 rows for Alice.
Run the test with current code to validate the issue before implementing the fix.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# python - <<'PY'
> from scubaduck import server
> app = server.app
> client = app.test_client()
> import json
> payload = {
> "table": "events",
> "start": "2024-01-01 00:00:00",
> "end": "2024-01-03 00:00:00",
> "graph_type": "timeseries",
> "limit": 1,
> "order_by": "user",
> "group_by": ["user"],
> "aggregate": "Count",
> "columns": ["value"],
> "x_axis": "timestamp",
> "granularity": "1 day",
> }
> rv = client.post("/api/query", data=json.dumps(payload), content_type="applica
tion/json")
> print(rv.get_json())
> PY
{'bucket_size': 86400, 'end': '2024-01-03 00:00:00', 'rows': [['Mon, 01 Jan 2024
00:00:00 GMT', 'alice', 1]], 'sql': 'SELECT TIMESTAMP \'2024-01-01 00:00:00\' +
INTERVAL \'86400 second\' * CAST(floor((epoch(timestamp) - epoch(TIMESTAMP \'20
24-01-01 00:00:00\'))/86400) AS BIGINT) AS bucket, user, count(value) AS value F
ROM "events" WHERE timestamp >= \'2024-01-01 00:00:00\' AND timestamp <= \'2024-
01-03 00:00:00\' GROUP BY bucket, user ORDER BY user ASC LIMIT 1', 'start': '202
4-01-01 00:00:00'}
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll add a function to query for the timeseries limit and use dtparser to calculate it.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# apply_patch<<'PATCH'
> *** Begin Patch
> *** Update File: scubaduck/server.py
> @@
> - bucket_size: int | None = None
> - if params.graph_type == "timeseries":
> - bucket_size = _granularity_seconds(
> - params.granularity,
> - params.start if isinstance(params.start, str) else None,
> - params.end if isinstance(params.end, str) else None,
> - )
> + bucket_size: int | None = None
> + if params.graph_type == "timeseries":
> + bucket_size = _granularity_seconds(
> + params.granularity,
> + params.start if isinstance(params.start, str) else None,
> + params.end if isinstance(params.end, str) else None,
> + )
> + if (
> + params.limit is not None
> + and params.start is not None
> + and params.end is not None
> + ):
> + try:
> + start_dt = dtparser.parse(params.start)
> + end_dt = dtparser.parse(params.end)
> + buckets = int((end_dt - start_dt).total_seconds() // buck
et_size) + 1
> + if buckets > 1:
> + params.limit *= buckets
> + except Exception:
> + pass
> *** End Patch
> PATCH
Success. Updated the following files:
M scubaduck/server.py
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll add the test after test_timeseries_orders_by_xaxis and review lines 420-460 for context.
ts = parser.parse(rows[0][1]).replace(tzinfo=None)
assert ts == parser.parse("2024-01-01 12:00:00")
def test_timeseries_basic() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 100,
"group_by": ["user"],
"aggregate": "Count",
"columns": ["value"],
"x_axis": "timestamp",
"granularity": "1 day",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert len(data["rows"]) == 4
def test_timeseries_orders_by_xaxis() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 100,
"columns": ["value"],
"x_axis": "timestamp",
"granularity": "1 day",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
rows = data["rows"]
from dateutil import parser
timestamps = [parser.parse(r[0]).replace(tzinfo=None) for r in rows]
assert timestamps == sorted(timestamps)
def test_timeseries_auto_and_fine_buckets() -> None:
app = server.app
client = app.test_client()
def run(gran: str) -> None:
payload = {
"start": "2024-01-01 00:00:00",
"end": "2024-01-02 03:00:00",
"graph_type": "timeseries",
"columns": ["value"],
"x_axis": "timestamp",
"granularity": gran,
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/js
on"
)
data = rv.get_json()
assert rv.status_code == 200
from dateutil import parser
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll look for where to add the new test, after relevant ones like "test_timeseries_auto."
buckets = [
parser.parse(cast(str, r[0])).replace(tzinfo=None) for r in data["ro
ws"]
]
assert buckets[0] == start
if len(buckets) > 1:
step = (buckets[1] - buckets[0]).total_seconds()
assert step % data["bucket_size"] == 0
assert any(r[1] != 0 for r in data["rows"])
run("Auto")
run("Fine")
def test_timeseries_string_column_error() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"limit": 7,
"columns": ["timestamp", "event", "value", "user"],
"x_axis": "timestamp",
"granularity": "1 hour",
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 400
assert "Aggregate" in data["error"]
def test_derived_column_basic() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"limit": 10,
"columns": ["timestamp"],
"derived_columns": {"val2": "value * 2"},
"filters": [],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert data["rows"][0][1] == 20
def test_timeseries_derived_column() -> None:
app = server.app
client = app.test_client()
payload = {
"table": "events",
"start": "2024-01-01 00:00:00",
"end": "2024-01-03 00:00:00",
"graph_type": "timeseries",
"granularity": "1 hour",
"limit": 7,
"columns": ["value"],
"derived_columns": {"derived_1": "value * 2"},
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
rows = data["rows"]
assert all(r[2] == r[1] * 2 for r in rows)
def test_default_start_end_returned() -> None:
app = server.app
client = app.test_client()
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll review the remaining tests after this, just to make sure I'm on track.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '540,680p' tests/test
_server.py
client = app.test_client()
payload = {
"table": "events",
"order_by": "timestamp",
"limit": 5,
"columns": ["timestamp"],
}
rv = client.post(
"/api/query", data=json.dumps(payload), content_type="application/json"
)
data = rv.get_json()
assert rv.status_code == 200
assert data["start"] == "2024-01-01 00:00:00"
assert data["end"] == "2024-01-02 03:00:00"
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll add the new test after test_timeseries_orders_by_xaxis while keeping chronological order.
> *** Update File: tests/test_server.py
> @@
> def test_timeseries_orders_by_xaxis() -> None:
> @@
> assert timestamps == sorted(timestamps)
> +
> +
> +def test_timeseries_limit_applies_to_series() -> None:
> + app = server.app
> + client = app.test_client()
> + payload = {
> + "table": "events",
> + "start": "2024-01-01 00:00:00",
> + "end": "2024-01-03 00:00:00",
> + "graph_type": "timeseries",
> + "limit": 1,
> + "order_by": "user",
> + "group_by": ["user"],
> + "aggregate": "Count",
> + "columns": ["value"],
> + "x_axis": "timestamp",
> + "granularity": "1 day",
> + }
> + rv = client.post(
> + "/api/query", data=json.dumps(payload), content_type="application/jso
n"
> + )
> + data = rv.get_json()
> + assert rv.status_code == 200
> + assert len(data["rows"]) == 2
> + assert all(r[1] == "alice" for r in data["rows"])
> *** End Patch
> PATCH
Success. Updated the following files:
M tests/test_server.py(scubaduck) root@715cdb832de4:/workspace/scubaduck# ruff format scubaduck/server
.py tests/test_server.py
1 file reformatted, 1 file left unchanged(scubaduck) root@715cdb832de4:/workspace/scubaduck# ruff check .
All checks passed!(scubaduck) root@715cdb832de4:/workspace/scubaduck# pyright0 errors, 0 warnings, 0 informations
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll run the tests using the pytest -q command to check for any issues.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# pytest -q
bringing up nodes...
....................FThe test might be failing. I'll capture the rest of the output to investigate further.
....................F................................................... [ 97%]
.. [100%]
=================================== FAILURES ===================================
___________________ test_timeseries_limit_applies_to_series ____________________
[gw4] linux -- Python 3.12.3 /workspace/scubaduck/.venv/bin/python
Traceback (most recent call last):
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/runner.p
y", line 341, in from_call
result: TResult | None = func()
^^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/runner.p
y", line 242, in <lambda>
lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_hooks.py
", line 512, in __call__
return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult
)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_manager.
py", line 120, in _hookexec
return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 167, in _multicall
raise exception
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 139, in _multicall
teardown.throw(exception)
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/threadex
ception.py", line 92, in pytest_runtest_call
yield from thread_exception_runtest_hook()
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/threadex
ception.py", line 68, in thread_exception_runtest_hook
yield
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 139, in _multicall
teardown.throw(exception)
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/unraisab
leexception.py", line 95, in pytest_runtest_call
yield from unraisable_exception_runtest_hook()
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/unraisab
leexception.py", line 70, in unraisable_exception_runtest_hook
yield
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 139, in _multicall
teardown.throw(exception)
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/logging.
py", line 846, in pytest_runtest_call
yield from self._runtest_for(item, "call")
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/logging.
py", line 829, in _runtest_for
yield
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 139, in _multicall
teardown.throw(exception)
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/capture.
py", line 898, in pytest_runtest_call
return (yield)
^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 139, in _multicall
teardown.throw(exception)
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/skipping
.py", line 257, in pytest_runtest_call
return (yield)
^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 121, in _multicall
res = hook_impl.function(*args)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/runner.p
y", line 174, in pytest_runtest_call
item.runtest()
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/python.p
y", line 1627, in runtest
self.ihook.pytest_pyfunc_call(pyfuncitem=self)
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_hooks.py
", line 512, in __call__
return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult
)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_manager.
py", line 120, in _hookexec
return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 167, in _multicall
raise exception
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/pluggy/_callers.
py", line 121, in _multicall
res = hook_impl.function(*args)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/scubaduck/.venv/lib/python3.12/site-packages/_pytest/python.p
y", line 159, in pytest_pyfunc_call
result = testfunction(**testargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/scubaduck/tests/test_server.py", line 462, in test_timeseries
_limit_applies_to_series
assert len(data["rows"]) == 2
AssertionError: assert 3 == 2
+ where 3 = len([['Mon, 01 Jan 2024 00:00:00 GMT', 'alice', 1], ['Tue, 02 Jan
2024 00:00:00 GMT', 'alice', 1], ['Mon, 01 Jan 2024 00:00:00 GMT', 'bob', 1]])
=========================== short test summary info ============================
FAILED tests/test_server.py::test_timeseries_limit_applies_to_series - Assertion
Error: assert 3 == 2
1 failed, 73 passed in 9.89s
(scubaduck) root@715cdb832de4:/workspace/scubaduck#The query returned 3 rows, but I expected 2 due to bucket count miscalculation.
I'll update the bucket formula to use math.ceil for more accurate bucket counting.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# grep -n math scubaduck/serve
r.py
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I’ll import the math module at the top and patch server.py accordingly.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# sed -n '1,20p' scubaduck/ser
ver.py
from __future__ import annotations
from dataclasses import dataclass, field, replace
from typing import Any, Dict, List, Tuple, cast
import re
from datetime import datetime, timedelta, timezone
import time
from pathlib import Path
import os
import sqlite3
import traceback
import duckdb
from dateutil import parser as dtparser
from flask import Flask, jsonify, request, send_from_directory
@dataclass
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll add import math after the existing imports.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# apply_patch<<'PATCH'
> *** Begin Patch
> *** Update File: scubaduck/server.py
> @@
> -import traceback
> +import traceback
> +import math
> *** End Patch
> PATCH
Success. Updated the following files:
M scubaduck/server.py
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I’ll adjust the bucket count formula. Just need to fix that up.
server.py
and params.start is not None
and params.end is not None
):
try:
start_dt = dtparser.parse(params.start)
end_dt = dtparser.parse(params.end)
buckets = (
int((end_dt - start_dt).total_seconds() // bucket_size)
+ 1
)
if buckets > 1:
params.limit *= buckets
except Exception:
pass
sql = build_query(params, column_types)
try:
rows = con.execute(sql).fetchall()
except Exception as exc:
tb = traceback.format_exc()
print(f"Query failed:\n{sql}\n{tb}")
return (
jsonify({"sql": sql, "error": str(exc), "traceback": tb}),
400,
)
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll update the bucket formula to use math.ceil. Time to patch it!
(scubaduck) root@715cdb832de4:/workspace/scubaduck# apply_patch<<'PATCH'
> *** Begin Patch
> *** Update File: scubaduck/server.py
> @@
> - buckets = (
> - int((end_dt - start_dt).total_seconds() // bucket_siz
e) + 1
> - )
> - if buckets > 1:
> - params.limit *= buckets
> + buckets = math.ceil(
> + (end_dt - start_dt).total_seconds() / bucket_size
> + )
> + if buckets > 1:
> + params.limit *= buckets
> *** End Patch
> PATCH
Success. Updated the following files:
M scubaduck/server.py(scubaduck) root@715cdb832de4:/workspace/scubaduck# ruff format scubaduck/server
.py tests/test_server.py
2 files left unchanged
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll go ahead and check with ruff now.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# ruff check .
All checks passed!(scubaduck) root@715cdb832de4:/workspace/scubaduck# pyright0 errors, 0 warnings, 0 informations(scubaduck) root@715cdb832de4:/workspace/scubaduck# pytest -q
bringing up nodes........................................................................... [ 97%]
.. [100%]
74 passed in 9.27s
(scubaduck) root@715cdb832de4:/workspace/scubaduck#Running a git status to see if everything is up to date after passing tests.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# git status --short
M scubaduck/server.py
M tests/test_server.py(scubaduck) root@715cdb832de4:/workspace/scubaduck# git add scubaduck/server.py
tests/test_server.py(scubaduck) root@715cdb832de4:/workspace/scubaduck# git commit -m "fix(server):
adjust timeseries limit by bucket count" && git status --short
[work 2792fa4] fix(server): adjust timeseries limit by bucket count
2 files changed, 41 insertions(+)
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I missed the commit summary, so I’ll run it again to confirm.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# git status --short
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll check out the relevant code in 'scubaduck/server.py' to track changes properly.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# nl -ba scubaduck/server.py |
sed -n '9,25p'
9 import time
10 from pathlib import Path
11 import os
12 import sqlite3
13 import traceback
14 import math
15
16 import duckdb
17 from dateutil import parser as dtparser
18 from flask import Flask, jsonify, request, send_from_directory
19
20
21 @dataclass
22 class Filter:
23 column: str
24 op: str
25 value: str | int | float | list[str] | None
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I’ll add the import around line 14 and then tackle the new limit logic.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# nl -ba scubaduck/server.py |
sed -n '504,535p'
504 if params.graph_type == "timeseries":
505 bucket_size = _granularity_seconds(
506 params.granularity,
507 params.start if isinstance(params.start, str) else None,
508 params.end if isinstance(params.end, str) else None,
509 )
510 if (
511 params.limit is not None
512 and params.start is not None
513 and params.end is not None
514 ):
515 try:
516 start_dt = dtparser.parse(params.start)
517 end_dt = dtparser.parse(params.end)
518 buckets = math.ceil(
519 (end_dt - start_dt).total_seconds() / bucket_siz
e
520 )
521 if buckets > 1:
522 params.limit *= buckets
523 except Exception:
524 pass
525
526 sql = build_query(params, column_types)
527 try:
528 rows = con.execute(sql).fetchall()
529 except Exception as exc:
530 tb = traceback.format_exc()
531 print(f"Query failed:\n{sql}\n{tb}")
532 return (
533 jsonify({"sql": sql, "error": str(exc), "traceback": tb}
),
534 400,
535 )
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll show you the test code now.
(scubaduck) root@715cdb832de4:/workspace/scubaduck# nl -ba tests/test_server.py
| sed -n '410,478p'
410 )
411 data = rv.get_json()
412 assert rv.status_code == 200
413 assert len(data["rows"]) == 4
414
415
416 def test_timeseries_orders_by_xaxis() -> None:
417 app = server.app
418 client = app.test_client()
419 payload = {
420 "table": "events",
421 "start": "2024-01-01 00:00:00",
422 "end": "2024-01-03 00:00:00",
423 "graph_type": "timeseries",
424 "limit": 100,
425 "columns": ["value"],
426 "x_axis": "timestamp",
427 "granularity": "1 day",
428 }
429 rv = client.post(
430 "/api/query", data=json.dumps(payload), content_type="applicatio
n/json"
431 )
432 data = rv.get_json()
433 assert rv.status_code == 200
434 rows = data["rows"]
435 from dateutil import parser
436
437 timestamps = [parser.parse(r[0]).replace(tzinfo=None) for r in rows]
438 assert timestamps == sorted(timestamps)
439
440
441 def test_timeseries_limit_applies_to_series() -> None:
442 app = server.app
443 client = app.test_client()
444 payload = {
445 "table": "events",
446 "start": "2024-01-01 00:00:00",
447 "end": "2024-01-03 00:00:00",
448 "graph_type": "timeseries",
449 "limit": 1,
450 "order_by": "user",
451 "group_by": ["user"],
452 "aggregate": "Count",
453 "columns": ["value"],
454 "x_axis": "timestamp",
455 "granularity": "1 day",
456 }
457 rv = client.post(
458 "/api/query", data=json.dumps(payload), content_type="applicatio
n/json"
459 )
460 data = rv.get_json()
461 assert rv.status_code == 200
462 assert len(data["rows"]) == 2
463 assert all(r[1] == "alice" for r in data["rows"])
464
465
466 def test_timeseries_auto_and_fine_buckets() -> None:
467 app = server.app
468 client = app.test_client()
469
470 def run(gran: str) -> None:
471 payload = {
472 "start": "2024-01-01 00:00:00",
473 "end": "2024-01-02 03:00:00",
474 "graph_type": "timeseries",
475 "columns": ["value"],
476 "x_axis": "timestamp",
477 "granularity": gran,
478 }
(scubaduck) root@715cdb832de4:/workspace/scubaduck#I'll use the commit summary "fix(server): adjust timeseries limit," then add the body and any necessary details.