feature: produtiza trend detection — DAG + job + migration#190
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Adiciona compute_entity_trending DAG (6h), job package trend_detection/ com signals.py adaptado, scorer.py copiado (NDCG=1.0) e persist.py com UPSERT idempotente em entity_trending_scores. Migration 025 cria a tabela com coluna volume_ratio (exibida no portal).
Migration 024 estava no working tree mas não estava commitada, causando sequence gap no validator de integração.
O framework de testes de integração (_apply_all_migrations) aplica TODAS as migrations CONCURRENTLY numa Phase 2 antes de rodar as demais. Como 024 é detectada como concurrent (contém o token CONCURRENTLY), ela era aplicada logo após 009 — antes das migrations 021/022 que criam news_entities e entity_edges. As tabelas são novas, então não há risco de lock em produção. IF NOT EXISTS já garante idempotência.
O scanner _find_concurrent_migrations() faz match simples de string no texto completo do arquivo (incluindo comentários). A migration 024 tinha a palavra no comentário explicativo, causando sua classificação como concurrent e aplicação em Phase 2 — antes das migrations 021/022 que criam as tabelas.
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Summary
entity_trending_scoresvia migration 025 (incluivolume_ratiopara o portal)src/data_platform/jobs/trend_detection/com signals.py, scorer.py (NDCG@10=1.0) e persist.pycompute_entity_trendingrodando 4× ao dia (schedule:0 */6 * * *)Test plan
pytest tests/unit/jobs/test_trend_detection_scorer.py— verdepytest tests/unit/jobs/test_trend_detection_persist.py— verdepytest tests/unit/dags/test_compute_entity_trending.py— verdedb-migrate.yamlSELECT COUNT(*) FROM entity_trending_scores;🤖 Generated with Claude Code