Implements POST /api/timeline endpoint that aggregates enrollment by
subject over 15-minute slots, filtering courses by their actual meeting
times. Includes ISR-style schedule cache with hourly background refresh
using stale-while-revalidate pattern, database indexes for efficient
queries, and frontend refactor to dynamically discover subjects from API.
Replace simple auto-matching with scored candidate generation that
considers department overlap, name uniqueness, and rating volume.
Candidates above 0.85 auto-accept; others require admin approval.
Add batch upsert functionality to reduce database round-trips from N to 1 when inserting courses. Create comprehensive database indexes for common query patterns including term/subject lookups, time-series metrics, and job scheduling. Remove redundant indexes and add monitoring guidance for BRIN index effectiveness.
Add retry tracking to scrape jobs with configurable max retries (default 5), implement
automatic database migrations on startup, and significantly reduce logging noise from
infrastructure layers. Enhanced tracing with structured spans for better debugging while
keeping output readable by suppressing verbose trace logs from rate limiters and session
management. Improved error handling with detailed retry context and proper session cookie
validation.
