adds daily task to update global bot leaderboard, refactors command for convenience #3933
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lsabor
commented
Dec 14, 2025
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The only thing that happens here is to factor out the handle action so it can be called with a task
hlbmtc
reviewed
Dec 15, 2025
| bootstrap_iterations = 30 | ||
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| # SETUP: users to evaluate & questions | ||
| print("Initializing...") |
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Prints won't be typically visible in django command handlers, so I suggest using logging instead
hlbmtc
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Dec 15, 2025
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| metadata__bot_details__metac_bot=True, | ||
| metadata__bot_details__include_in_calculations=True, | ||
| metadata__bot_details__display_in_leaderboard=True, |
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It looks like this might be a slow operation since we don't index User.metadata col
hlbmtc
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Dec 15, 2025
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| related_posts__post__default_project_id__in=[ | ||
| 3349, # aib q3 2024 | ||
| 32506, # aib q4 2024 | ||
| 32627, # aib q1 2025 | ||
| 32721, # aib q2 2025 | ||
| 32813, # aib fall 2025 | ||
| ] |
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Is there a way to refactor this so we don’t hardcode these values here?
At the very least, I’d move these IDs into constants.py.
hlbmtc
reviewed
Dec 15, 2025
| Score.objects.filter(user=user, question__in=question_list) | ||
| .distinct("question_id") | ||
| .count() | ||
| .exclude(related_posts__post__default_project__slug__startswith="minibench") |
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As I mentioned here, I don't like this slug approach
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closes #3808
This task will take ~20 minutes long, so it might be worth considering optimizing the approach.
The only thing that takes a long time is the head to head scoring for popular questions. The simplest solution would be to store all of the head to head scores at question resolution in a new table. This would take the task down to 1-2 minutes from upwards of 30 (and maybe some memory issues).