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commented
3 months ago | Eco-CI Output: | Label | 🖥 avg. CPU utilization [%] | 🔋 Total Energy [Joules] | 🔌 avg. Power [Watts] | Duration [Seconds] |
|---|---|---|---|---|---|
| Total Run (incl. overhead) | 26.8622 | 449.206 | 3.84 | 117 | |
| checkout | 9.5 | 3.61344 | 1.81 | 2 | |
| pip install uv wheel | 9.61 | 3.61509 | 1.81 | 2 | |
| pip install requirements | 69.1767 | 39.4038 | 5.63 | 7 | |
| pytest | 24.2451 | 402.574 | 3.87 | 104 |
🌳 CO2 Data: City: Boydton, Lat: 36.6534, Lon: -78.375 IP: 74.249.13.128 CO₂ from energy is: 0.181479224 g CO₂ from manufacturing (embodied carbon) is: 0.033381716 g Carbon Intensity for this location: 404 gCO₂eq/kWh SCI: 0.214861 gCO₂eq / pipeline run emitted
This PR catches to the two noisest sets of errors we started seeing recently when a connection to RabbitMQ is unexpectedly closed.
Dramatiq, our queueing library handles these, so logging them to Sentry is needlessly noisy and wasteful.