feat: always-on Insights — correlation analysis over viewing habits

Conservative, live insights (ADR-0010) derived from each user's diary:
rating lift by genre (first-time watches only), genre seasonality vs a
uniform 1/12 month baseline, medium weekend-lift, and watch-time rhythm.

- domain: WatchRow model, InsightsQuery port, pure insights_analyzer with
  all honesty thresholds (sample minimums, strength cutoffs, suppressions
  for import noise), unit-tested
- adapters: thin Sqlite/Postgres fetch twins, reusing WrapUp's genre fetch
- application: get_insights use case, InsightsGroup in Deps
- composition/server: wiring through Repositories/DatabaseOutput
- presentation: GET /api/v1/insights handler, typed serde-tagged DTOs,
  openapi doc
- spa: /insights route (shadcn cards), insights feature hook, profile
  entry link, en locale strings
- server test: end-to-end seed sqlite → HTTP → rating lift + rhythm

Also records ADR-0010, defines "Insight" in the glossary, and includes
pre-existing worktree comment-stripping cleanups.

crates/adapters/postgres-event-queue/src/lib.rs

@@ -114,7 +114,6 @@ impl EventConsumer for PostgresEventQueue {
                                 return;
                             }
                         }
-                        // no sleep — re-poll immediately when batch was non-empty
                     }
                 }
             }
@@ -140,7 +139,6 @@ async fn claim_batch(
     pool: &PgPool,
     config: &DbEventQueueConfig,
 ) -> Result<Vec<QueueRow>, DomainError> {
-    // CTE with FOR UPDATE SKIP LOCKED — atomic and safe for multiple workers
     let rows = sqlx::query_as::<_, QueueRow>(
         r#"
         WITH claimed AS (