feature: resolver trendingEntities — entidades NER em alta#21
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Adiciona TrendingEntityResult type, get_trending_entities() no datasource e resolver trending_entities() que lê entity_trending_scores ordenado por score DESC. Testes TDD: resolver (5 casos) + datasource (4 casos). SDL regenerado com novo tipo TrendingEntityResult e query trendingEntities.
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Summary
TrendingEntityResultemtypes/entities.py(7 campos:entityId,canonicalName,type,trendingScore,volumeRatio,windowCount,computedAt)PostgresDatasource.get_trending_entities(limit: int)lendoentity_trending_scoresvia asyncpgEntityQuery.trending_entities(limit: Int = 10)com clamp a 50docs/reference/schema.graphql)Dependência
Requer migration 025 do data-platform (
entity_trending_scorescom colunavolume_ratio) aplicada antes de funcionar em produção. O resolver retorna[]graciosamente enquanto a tabela não existe.Test plan
pytest tests/resolvers/test_trending_entities.py— 5/5 verdepytest tests/datasources/test_trending_entities_datasource.py— 4/4 verdepytest tests/— suite completa verdemake docs-schema— SDL gerado sem erroscurl -X POST localhost:8000/graphql -d '{"query":"{ trendingEntities(limit: 3) { entityId canonicalName type trendingScore volumeRatio windowCount } }"}'🤖 Generated with Claude Code