Skip to content

add spot scoring support to migration #273

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 28, 2024
Merged

add spot scoring support to migration #273

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion migrator/services/migrate_questions.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -73,7 +73,7 @@ def create_question(question: dict, **kwargs) -> Question:
created_at=question["created_time"],
edited_at=question["edited_time"],
open_time=question["publish_time"],
cp_reveal_time=question["publish_time"],
cp_reveal_time=question["cp_reveal_time"],
scheduled_close_time=(
question["close_time"]
if question["close_time"]
Expand Down
52 changes: 15 additions & 37 deletions migrator/services/migrate_scoring.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -88,51 +88,29 @@ def score_questions(qty: int | None = None, start_id: int = 0):
)
print("Resolved q with no resolved time")
exit()
score_types = [
Score.ScoreTypes.PEER,
Score.ScoreTypes.BASELINE,
Score.ScoreTypes.SPOT_PEER,
]
if question.id in question_ids_to_relative_score:
score_types.append(Score.ScoreTypes.RELATIVE_LEGACY)
f = question.user_forecasts.count()
print(
f"\033[Kscoring question {i:>4}/{c} ID:{question.id:<4} forecasts:{f:<4} "
f"dur:{str(timezone.now() - start).split(".")[0]} "
f"est:{str((timezone.now() - start) / i * c).split(".")[0]} "
"peer...",
f"scoring: {','.join(score_types)}...",
end="\r",
)
score_question(
question,
question.resolution,
score_types=[
Score.ScoreTypes.PEER,
],
score_types=score_types,
)
print(
f"\033[Kscoring question {i:>4}/{c} ID:{question.id:<4} forecasts:{f:<4} "
f"dur:{str(timezone.now() - start).split(".")[0]} "
f"est:{str((timezone.now() - start) / i * c).split(".")[0]} "
"peer done. basline...",
end="\r",
)
score_question(
question,
question.resolution,
score_types=[
Score.ScoreTypes.BASELINE,
],
)
# TODO: add spot_forecast_time
if question.id in question_ids_to_relative_score:
if ArchivedScore.objects.filter(question=question).exists():
continue
print(
f"\033[Kscoring question {i:>4}/{c} ID:{question.id:<4} forecasts:{f:<4} "
f"dur:{str(timezone.now() - start).split(".")[0]} "
f"est:{str((timezone.now() - start) / i * c).split(".")[0]} "
"peer done. basline done. relative...",
end="\r",
)
score_question(
question,
question.resolution,
# TODO: add spot_forecast_time
score_types=[
Score.ScoreTypes.RELATIVE_LEGACY,
],
)
print(
f"\033[Kscoring question {i:>4}/{c} ID:{question.id:<4} forecasts:{f:<4} "
f"dur:{str(timezone.now() - start).split(".")[0]} "
f"est:{str((timezone.now() - start) / i * (c - i)).split(".")[0]} "
f"scoring: {','.join(score_types)}... DONE",
)
7 changes: 6 additions & 1 deletion questions/tasks.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,12 @@ def resolve_question_and_send_notifications(question_id: int):
score_question(
question,
question.resolution,
score_types=[Score.ScoreTypes.PEER, Score.ScoreTypes.BASELINE],
score_types=[
Score.ScoreTypes.PEER,
Score.ScoreTypes.BASELINE,
Score.ScoreTypes.SPOT_PEER,
Score.ScoreTypes.RELATIVE_LEGACY,
],
)
scores = (
question.scores.filter(user__isnull=False)
Expand Down