⚡ Bolt: Optimize Job Event Sequence Number Generation - #175
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Replaces an inefficient `list_for_job` query that loaded all job events into memory just to find the next sequence number. Adds a specialized `get_max_sequence_no` query to `JobEventRepository` to do this directly in SQL via `func.coalesce(func.max(...), 0)`. Extends to all job modules including parse, synthesis, evaluation, knowledge and api/jobs services. Co-authored-by: crabcanon <3458947+crabcanon@users.noreply.github.com>
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💡 What: Replaced
list_for_job(job_id, limit=1000)with a new highly optimizedget_max_sequence_no(job_id)method inJobEventRepositoryacross all job tracking services (parse, synthesis, evaluation, knowledge, and API).🎯 Why: Previously, when calculating the next sequence number for a job event, up to 1000 prior job events were fetched from the database and instantiated as SQLAlchemy objects in memory. This caused significant memory bloat, network transfer overhead, and CPU overhead just to access the sequence number of the final element in the array.
📊 Impact: Reduces job event append operations memory footprint from O(N) to O(1) in the sequence length. Database work is vastly reduced from retrieving hundreds of objects to executing a single optimized aggregation query (
func.coalesce(func.max(...), 0)).🔬 Measurement: Verify by executing end to end test suite - all tests should pass successfully without fetching any long arrays when jobs get updated.
PR created automatically by Jules for task 3432638182268863562 started by @crabcanon