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⚡ Bolt: [performance improvement] Optimize closure status counts via GROUP BY #759

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⚡ Bolt: [performance improvement] Optimize closure status counts via GROUP BY #759

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17 changes: 9 additions & 8 deletions backend/closure_service.py
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Original file line number Diff line number Diff line change
Expand Up @@ -139,14 +139,15 @@ def check_and_finalize_closure(grievance_id: int, db: Session) -> dict:
).scalar()

# Get all confirmation counts in a single query instead of multiple round-trips
from sqlalchemy import case
stats = db.query(
func.sum(case((ClosureConfirmation.confirmation_type == 'confirmed', 1), else_=0)).label('confirmed'),
func.sum(case((ClosureConfirmation.confirmation_type == 'disputed', 1), else_=0)).label('disputed')
).filter(ClosureConfirmation.grievance_id == grievance_id).first()

confirmations_count = stats.confirmed or 0
disputes_count = stats.disputed or 0
# Optimized: Use group_by instead of sum(case) for better aggregation performance
counts = db.query(
ClosureConfirmation.confirmation_type,
func.count(ClosureConfirmation.id)
).filter(ClosureConfirmation.grievance_id == grievance_id).group_by(ClosureConfirmation.confirmation_type).all()

counts_dict = dict(counts)
confirmations_count = counts_dict.get('confirmed', 0)
disputes_count = counts_dict.get('disputed', 0)

required_confirmations = max(1, int(total_followers * ClosureService.CONFIRMATION_THRESHOLD))

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15 changes: 8 additions & 7 deletions backend/routers/grievances.py
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Original file line number Diff line number Diff line change
Expand Up @@ -435,14 +435,15 @@ def get_closure_status(
).scalar()

# Get all confirmation counts in a single query instead of multiple round-trips
from sqlalchemy import case
stats = db.query(
func.sum(case((ClosureConfirmation.confirmation_type == 'confirmed', 1), else_=0)).label('confirmed'),
func.sum(case((ClosureConfirmation.confirmation_type == 'disputed', 1), else_=0)).label('disputed')
).filter(ClosureConfirmation.grievance_id == grievance_id).first()
# Optimized: Use group_by instead of sum(case) for better aggregation performance
counts = db.query(
ClosureConfirmation.confirmation_type,
func.count(ClosureConfirmation.id)
).filter(ClosureConfirmation.grievance_id == grievance_id).group_by(ClosureConfirmation.confirmation_type).all()
Comment on lines +438 to +442

confirmations_count = stats.confirmed or 0
disputes_count = stats.disputed or 0
counts_dict = dict(counts)
confirmations_count = counts_dict.get('confirmed', 0)
disputes_count = counts_dict.get('disputed', 0)

required_confirmations = max(1, int(total_followers * ClosureService.CONFIRMATION_THRESHOLD))

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