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This commit optimizes the `TicketService.get_tickets_by_user` method by replacing the N+1 query pattern used to count ticket messages with a single batch aggregation. 💡 What: - Implemented a batch loading strategy for ticket message counts. - Collected all ticket IDs and performed a single `$match` + `$group` aggregation on the `ticket_messages` collection. - Refactored the ticket processing loop to use a dictionary-based lookup for message counts. - Added support for both `ObjectId` and `string` formats of `ticket_id` to ensure data integrity. 🎯 Why: - The previous implementation performed one database call per ticket to fetch message counts, which caused significant performance degradation as the number of tickets grew (N+1 bottleneck). 📊 Impact: - Reduces database roundtrips from N+1 to a constant number. - Estimated performance gain: >90% reduction in query overhead for users with many tickets. 🔬 Measurement: - Verified with a specialized unit test in `tests/unit/test_ticket_service.py` that confirms correct counts and handling of mixed ID types. - Manual verification of the refactored code structure. Co-authored-by: Woschj <81321922+Woschj@users.noreply.github.com>
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Optimized
TicketService.get_tickets_by_userby replacing an N+1 query loop for message counts with a single batch aggregation. Added a new unit test to verify the optimization and handle mixedticket_idtypes (ObjectId and string).PR created automatically by Jules for task 10039416700345539795 started by @Woschj