-- ============================================================ -- Migration 009: Dashboard RPC functions -- Todas son SECURITY DEFINER + search_path fijado. -- Aplican k-anonimato k>=5 ANTES de devolver. -- NUNCA tocan question codes 3.4 (salario) ni 7.1 (texto libre). -- El cliente NUNCA accede a `answers` directamente — solo via estas funciones. -- ============================================================ -- ── Helper: responses filtradas por cohort ──────────────────── -- Devuelve IDs de respuestas que cumplen los filtros opcionales. -- Filtros pasados como text arrays o NULL (sin filtro). CREATE OR REPLACE FUNCTION public._dash_responses( p_survey_id uuid, p_depto text DEFAULT NULL, p_genero text[] DEFAULT NULL, p_etario text[] DEFAULT NULL, p_modalidad text[] DEFAULT NULL ) RETURNS TABLE(response_id uuid) LANGUAGE sql STABLE SECURITY DEFINER SET search_path = public AS $$ SELECT r.id FROM public.responses r WHERE r.survey_id = p_survey_id -- Departamento: A1 AND (p_depto IS NULL OR EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = r.id AND q.code = 'A1' AND a.value #>> '{}' = p_depto )) -- Género: A6 AND (p_genero IS NULL OR cardinality(p_genero) = 0 OR EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = r.id AND q.code = 'A6' AND a.value #>> '{}' = ANY(p_genero) )) -- Rango etario: qi_age_bucket en responses AND (p_etario IS NULL OR cardinality(p_etario) = 0 OR r.qi_age_bucket = ANY(p_etario)) -- Modalidad: A7 AND (p_modalidad IS NULL OR cardinality(p_modalidad) = 0 OR EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = r.id AND q.code = 'A7' AND a.value #>> '{}' = ANY(p_modalidad) )); $$; -- ── Helper: parse filters JSONB → arrays ────────────────────── -- Convierte el objeto de filtros recibido del cliente en arrays tipados. -- Devuelve NULL para filtros no presentes o vacíos. CREATE OR REPLACE FUNCTION public._dash_parse_filters(p_filters jsonb) RETURNS TABLE( f_depto text, f_genero text[], f_etario text[], f_modalidad text[] ) LANGUAGE sql IMMUTABLE SECURITY DEFINER SET search_path = public AS $$ SELECT NULLIF(p_filters->>'depto',''), ARRAY(SELECT jsonb_array_elements_text(p_filters->'genero'))::text[], ARRAY(SELECT jsonb_array_elements_text(p_filters->'etario'))::text[], ARRAY(SELECT jsonb_array_elements_text(p_filters->'modalidad'))::text[]; $$; -- ── KPIs ───────────────────────────────────────────────────── CREATE OR REPLACE FUNCTION public.rpc_dashboard_kpis( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_n bigint; v_cuidadores bigint; v_bienestar_avg numeric; v_bienestar_n bigint; v_ausencias_pct numeric; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_n FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_n < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_n); END IF; -- % cuidadores: algún trigger = 'Sí' SELECT count(DISTINCT dr.response_id) INTO v_cuidadores FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr WHERE EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code IN ('1.1','1.6','1.13') AND a.value #>> '{}' = 'Sí' ); -- Score bienestar: media de 4.3 (rating 1-5), normalizado a 0-100 SELECT avg((a.value #>> '{}')::numeric), count(*) INTO v_bienestar_avg, v_bienestar_n FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '4.3' AND a.value #>> '{}' ~ '^[0-9]+$'; -- % ausencias frecuentes: 5.2 = frecuentes (Varias veces o Con frecuencia) SELECT count(DISTINCT dr.response_id) INTO v_ausencias_pct FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '5.2' AND a.value #>> '{}' IN ('Varias veces (4-10 veces al año)','Con frecuencia (más de 10 veces al año)'); RETURN jsonb_build_object( 'status', 'ok', 'n', v_n, 'pct_cuidadores', ROUND(v_cuidadores::numeric / v_n * 100, 1), 'score_bienestar', CASE WHEN v_bienestar_n > 0 THEN ROUND((v_bienestar_avg - 1) / 4 * 100, 1) ELSE NULL END, 'pct_ausencias', ROUND(v_ausencias_pct::numeric / v_n * 100, 1) ); END; $$; -- ── Prevalencia por departamento ────────────────────────────── CREATE OR REPLACE FUNCTION public.rpc_prevalencia_por_depto( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_rows jsonb; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; SELECT jsonb_agg(row) INTO v_rows FROM ( SELECT jsonb_build_object( 'depto', depto_val, 'n', CASE WHEN n_depto >= 5 THEN n_depto ELSE NULL END, 'pct_cuidadores',CASE WHEN n_depto >= 5 THEN ROUND(n_cuid::numeric / n_depto * 100, 1) ELSE NULL END, 'suppressed', (n_depto < 5) ) AS row FROM ( SELECT a.value #>> '{}' AS depto_val, count(DISTINCT dr.response_id) AS n_depto, count(DISTINCT dr.response_id) FILTER ( WHERE EXISTS ( SELECT 1 FROM public.answers a2 JOIN public.questions q2 ON q2.id = a2.question_id WHERE a2.response_id = dr.response_id AND q2.code IN ('1.1','1.6','1.13') AND a2.value #>> '{}' = 'Sí' ) ) AS n_cuid FROM public._dash_responses(p_survey_id, NULL, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = 'A1' GROUP BY a.value #>> '{}' ) sub ORDER BY depto_val ) t; RETURN jsonb_build_object('status','ok','n_total',v_total,'data', COALESCE(v_rows,'[]'::jsonb)); END; $$; -- ── Heatmap: horas de cuidado × ausencias ──────────────────── CREATE OR REPLACE FUNCTION public.rpc_heatmap_intensidad( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_rows jsonb; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; SELECT jsonb_agg(row) INTO v_rows FROM ( SELECT jsonb_build_object( 'horas', horas_bin, 'ausencias', aus_bin, 'n', CASE WHEN cnt >= 5 THEN cnt ELSE NULL END, 'suppressed', (cnt < 5) ) AS row FROM ( SELECT ah.value #>> '{}' AS horas_bin, aa.value #>> '{}' AS aus_bin, count(DISTINCT dr.response_id) AS cnt FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers ah ON ah.response_id = dr.response_id JOIN public.questions qh ON qh.id = ah.question_id AND qh.code = '2.2' JOIN public.answers aa ON aa.response_id = dr.response_id JOIN public.questions qa ON qa.id = aa.question_id AND qa.code = '5.2' GROUP BY 1, 2 ) sub ORDER BY horas_bin, aus_bin ) t; RETURN jsonb_build_object('status','ok','n_total',v_total,'data', COALESCE(v_rows,'[]'::jsonb)); END; $$; -- ── Distribución tipo de cuidado (donut) ───────────────────── CREATE OR REPLACE FUNCTION public.rpc_distribucion_cuidado( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_disc bigint; v_familiar bigint; v_mayor bigint; v_ninguno bigint; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; SELECT count(DISTINCT dr.response_id) INTO v_disc FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '1.1' AND a.value #>> '{}' = 'Sí'; SELECT count(DISTINCT dr.response_id) INTO v_familiar FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '1.6' AND a.value #>> '{}' = 'Sí'; SELECT count(DISTINCT dr.response_id) INTO v_mayor FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '1.13' AND a.value #>> '{}' = 'Sí'; SELECT count(DISTINCT dr.response_id) INTO v_ninguno FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr WHERE NOT EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code IN ('1.1','1.6','1.13') AND a.value #>> '{}' = 'Sí' ); RETURN jsonb_build_object( 'status', 'ok', 'n', v_total, 'disc_propia', ROUND(v_disc::numeric / v_total * 100, 1), 'familiar', ROUND(v_familiar::numeric / v_total * 100, 1), 'adulto_mayor', ROUND(v_mayor::numeric / v_total * 100, 1), 'ninguno', ROUND(v_ninguno::numeric / v_total * 100, 1) ); END; $$; -- ── Gap de políticas (barras) ───────────────────────────────── CREATE OR REPLACE FUNCTION public.rpc_politicas_gap( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_rows jsonb; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; -- 6.2 = apoyos que ayudarían (necesitadas), 6.2 = ya existentes (same question, max_select=3) -- Nota: el instrumento no tiene una pregunta separada "políticas existentes". -- Widget 5 muestra TOP políticas demandadas (6.2) para priorización. SELECT jsonb_agg(row ORDER BY cnt DESC) INTO v_rows FROM ( SELECT jsonb_build_object( 'politica', opt, 'n', cnt, 'pct', ROUND(cnt::numeric / v_total * 100, 1) ) AS row FROM ( SELECT jsonb_array_elements_text(a.value) AS opt, count(DISTINCT dr.response_id) AS cnt FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '6.2' AND jsonb_typeof(a.value) = 'array' GROUP BY 1 ) sub WHERE cnt >= 5 ORDER BY cnt DESC LIMIT 8 ) t; RETURN jsonb_build_object('status','ok','n_total',v_total,'data', COALESCE(v_rows,'[]'::jsonb)); END; $$; -- ── Score organizacional (gauge) ────────────────────────────── CREATE OR REPLACE FUNCTION public.rpc_score_organizacional( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_score_6_1 numeric; v_score_4_3 numeric; v_score_final numeric; v_zona text; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; -- 6.1: Sí=100, Parcialmente=50, No=0 SELECT AVG(CASE WHEN a.value #>> '{}' = 'Sí, me siento acompañado/a' THEN 100.0 WHEN a.value #>> '{}' = 'Parcialmente, hay cierta comprensión' THEN 50.0 ELSE 0.0 END) INTO v_score_6_1 FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '6.1'; -- 4.3: rating 1-5 → 0-100 SELECT AVG((a.value #>> '{}')::numeric - 1) / 4 * 100 INTO v_score_4_3 FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '4.3' AND a.value #>> '{}' ~ '^[0-9]+$'; v_score_final := ROUND(COALESCE(v_score_6_1, 0) * 0.6 + COALESCE(v_score_4_3, 0) * 0.4, 1); v_zona := CASE WHEN v_score_final < 34 THEN 'baja' WHEN v_score_final < 67 THEN 'desarrollo' ELSE 'consciente' END; RETURN jsonb_build_object('status','ok','n',v_total,'score',v_score_final,'zona',v_zona); END; $$; -- ── Pirámide demográfica ────────────────────────────────────── CREATE OR REPLACE FUNCTION public.rpc_piramide_demografica( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_rows jsonb; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; SELECT jsonb_agg(row) INTO v_rows FROM ( SELECT jsonb_build_object( 'etario', etario_val, 'genero', genero_val, 'n', CASE WHEN cnt >= 5 THEN cnt ELSE NULL END, 'suppressed', (cnt < 5) ) AS row FROM ( SELECT ae.value #>> '{}' AS etario_val, ag.value #>> '{}' AS genero_val, count(DISTINCT dr.response_id) AS cnt FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers ae ON ae.response_id = dr.response_id JOIN public.questions qe ON qe.id = ae.question_id AND qe.code = 'A5' JOIN public.answers ag ON ag.response_id = dr.response_id JOIN public.questions qg ON qg.id = ag.question_id AND qg.code = 'A6' GROUP BY 1, 2 ) sub ORDER BY etario_val, genero_val ) t; RETURN jsonb_build_object('status','ok','n_total',v_total,'data', COALESCE(v_rows,'[]'::jsonb)); END; $$; -- ── Intensidad de cuidado vs. bienestar (hexbin) ───────────── CREATE OR REPLACE FUNCTION public.rpc_intensidad_vs_productividad( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_rows jsonb; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; SELECT jsonb_agg(row) INTO v_rows FROM ( SELECT jsonb_build_object( 'horas', horas_bin, 'bienestar', bien_bin, 'n', CASE WHEN cnt >= 5 THEN cnt ELSE NULL END, 'suppressed', (cnt < 5) ) AS row FROM ( SELECT ah.value #>> '{}' AS horas_bin, ab.value #>> '{}' AS bien_bin, count(DISTINCT dr.response_id) AS cnt FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers ah ON ah.response_id = dr.response_id JOIN public.questions qh ON qh.id = ah.question_id AND qh.code = '2.2' JOIN public.answers ab ON ab.response_id = dr.response_id JOIN public.questions qb ON qb.id = ab.question_id AND qb.code = '4.3' WHERE ab.value #>> '{}' ~ '^[0-9]+$' GROUP BY 1, 2 ) sub ORDER BY horas_bin, bien_bin ) t; RETURN jsonb_build_object('status','ok','n_total',v_total,'data', COALESCE(v_rows,'[]'::jsonb)); END; $$; -- ── Tabla de riesgo de retención ────────────────────────────── -- Sin columna de departamento (vector de reidentificación en N pequeños). CREATE OR REPLACE FUNCTION public.rpc_riesgo_retencion( p_survey_id uuid, p_filters jsonb DEFAULT '{}'::jsonb ) RETURNS jsonb LANGUAGE plpgsql STABLE SECURITY DEFINER SET search_path = public AS $$ DECLARE v_f record; v_total bigint; v_n_alto bigint; v_n_medio bigint; v_n_bajo bigint; v_pol_alto text; v_pol_medio text; v_pol_bajo text; BEGIN SELECT * INTO v_f FROM public._dash_parse_filters(p_filters); SELECT count(*) INTO v_total FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad); IF v_total < 5 THEN RETURN jsonb_build_object('status','suppressed','min_n',5,'n',v_total); END IF; -- Alto: ausencias frecuentes AND empresa no comprende SELECT count(DISTINCT dr.response_id) INTO v_n_alto FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr WHERE EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code = '5.2' AND a.value #>> '{}' IN ('Varias veces (4-10 veces al año)','Con frecuencia (más de 10 veces al año)') ) AND EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code = '6.1' AND a.value #>> '{}' IN ('No, es algo bastante invisible','No, nunca se ha hablado del tema') ); -- Medio: exactamente una de las dos condiciones (XOR en SQL estándar) SELECT count(DISTINCT dr.response_id) INTO v_n_medio FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr WHERE ( EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code = '5.2' AND a.value #>> '{}' IN ('Varias veces (4-10 veces al año)','Con frecuencia (más de 10 veces al año)') ) AND NOT EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code = '6.1' AND a.value #>> '{}' IN ('No, es algo bastante invisible','No, nunca se ha hablado del tema') ) ) OR ( NOT EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code = '5.2' AND a.value #>> '{}' IN ('Varias veces (4-10 veces al año)','Con frecuencia (más de 10 veces al año)') ) AND EXISTS ( SELECT 1 FROM public.answers a JOIN public.questions q ON q.id = a.question_id WHERE a.response_id = dr.response_id AND q.code = '6.1' AND a.value #>> '{}' IN ('No, es algo bastante invisible','No, nunca se ha hablado del tema') ) ); v_n_bajo := v_total - v_n_alto - v_n_medio; -- Política más demandada por segmento (solo si N>=5) IF v_n_alto >= 5 THEN SELECT jsonb_array_elements_text(a.value) INTO v_pol_alto FROM public._dash_responses(p_survey_id, v_f.f_depto, v_f.f_genero, v_f.f_etario, v_f.f_modalidad) dr JOIN public.answers a ON a.response_id = dr.response_id JOIN public.questions q ON q.id = a.question_id WHERE q.code = '6.2' AND jsonb_typeof(a.value) = 'array' AND EXISTS ( SELECT 1 FROM public.answers a2 JOIN public.questions q2 ON q2.id = a2.question_id WHERE a2.response_id = dr.response_id AND q2.code = '5.2' AND a2.value #>> '{}' IN ('Varias veces (4-10 veces al año)','Con frecuencia (más de 10 veces al año)') ) AND EXISTS ( SELECT 1 FROM public.answers a3 JOIN public.questions q3 ON q3.id = a3.question_id WHERE a3.response_id = dr.response_id AND q3.code = '6.1' AND a3.value #>> '{}' IN ('No, es algo bastante invisible','No, nunca se ha hablado del tema') ) GROUP BY jsonb_array_elements_text(a.value) ORDER BY count(*) DESC LIMIT 1; END IF; RETURN jsonb_build_object( 'status', 'ok', 'n_total', v_total, 'segmentos', jsonb_build_array( jsonb_build_object( 'segmento', 'Alto', 'n', CASE WHEN v_n_alto >= 5 THEN v_n_alto ELSE NULL END, 'pct', CASE WHEN v_n_alto >= 5 THEN ROUND(v_n_alto::numeric/v_total*100,1) ELSE NULL END, 'politica', CASE WHEN v_n_alto >= 5 THEN v_pol_alto ELSE NULL END, 'suppressed', (v_n_alto < 5) ), jsonb_build_object( 'segmento', 'Medio', 'n', CASE WHEN v_n_medio >= 5 THEN v_n_medio ELSE NULL END, 'pct', CASE WHEN v_n_medio >= 5 THEN ROUND(v_n_medio::numeric/v_total*100,1) ELSE NULL END, 'politica', v_pol_medio, 'suppressed', (v_n_medio < 5) ), jsonb_build_object( 'segmento', 'Bajo', 'n', CASE WHEN v_n_bajo >= 5 THEN v_n_bajo ELSE NULL END, 'pct', CASE WHEN v_n_bajo >= 5 THEN ROUND(v_n_bajo::numeric/v_total*100,1) ELSE NULL END, 'politica', v_pol_bajo, 'suppressed', (v_n_bajo < 5) ) ) ); END; $$;