feature: analytics DAY — generate_series preenche lacunas diárias#23
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…ense) Adiciona resolver entityArticles(entityId, page, limit) que consulta news_entities → news diretamente no Postgres, sem depender do campo entityCanonical no Typesense (reprocessamento ainda pendente). - _ENTITY_ARTICLES_SQL: CTE deduplica por unique_id, conta total sem window fn no outer SELECT, ordena por published_at DESC - PostgresDatasource.get_entity_articles(): retorna (records, total_count) - EntityQuery.entity_articles(): mapeaia NewsRecord → Article via helper _news_record_to_article; safe clamp em page/limit - SDL regenerado: entityArticles(entityId, page, limit) → ArticlesResult
Quando granularity=DAY, _AGENCY_ANALYTICS_DAY_SQL usa generate_series para garantir que todos os dias do intervalo aparecem no resultado mesmo sem artigos (article_count=0 via COALESCE). MONTH e WEEK continuam usando DATE_TRUNC.
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Summary
_AGENCY_ANALYTICS_DAY_SQLcomgenerate_seriespara garantir que todos os dias do intervalo aparecem quandogranularity=DAYarticle_count=0viaCOALESCEem vez de simplesmente sumirem do resultadoMONTHeWEEKcontinuam usando o SQL existente comDATE_TRUNCparametrizadoTestAgencyAnalyticsDayGapFillverificam: seleção correta do SQL por granularidade e comportamento do gap-fillTest plan
test_day_granularity_usa_generate_series— confirma que DAY usa a SQL comgenerate_seriestest_month_granularity_usa_date_trunc— confirma que MONTH usa o SQL comDATE_TRUNC($1test_day_retorna_zeros_para_dias_sem_artigos— valida dias comarticle_count=0e métricasNone