perf: optimize leaderboard serialization bypassing pydantic#636
perf: optimize leaderboard serialization bypassing pydantic#636RohanExploit wants to merge 1 commit into
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Constructed standard Python dictionaries directly in the `get_leaderboard` function instead of instantiating `LeaderboardEntry` Pydantic models. This bypasses validation overhead before `json.dumps()` serialization, improving performance in high-volume loops without breaking downstream logic.
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Pull request overview
This PR improves the /leaderboard endpoint performance in the FastAPI backend by avoiding per-entry Pydantic model construction/serialization and instead building plain Python dictionaries prior to JSON encoding and caching.
Changes:
- Replace
LeaderboardEntry(...).model_dump(mode="json")with direct dict construction for each leaderboard row. - Keep response JSON caching behavior unchanged while reducing serialization overhead in the hot loop.
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Optimized leaderboard performance by bypassing Pydantic serialization. Constructs native Python dictionaries directly before JSON serialization, reducing overhead without breaking application flow. Tests have been executed and passed.
PR created automatically by Jules for task 16737325514022446465 started by @RohanExploit
Summary by cubic
Speed up the leaderboard endpoint by bypassing
pydanticduring serialization. Build plain dicts inget_leaderboard, reducing per-item overhead without changing the JSON response.LeaderboardEntrymodel creation with direct dict construction; remove.model_dump(mode="json").{"leaderboard": [...]}) and continue usingjson.dumps.Written for commit f91a57f. Summary will update on new commits.
Summary by CodeRabbit