From 122290e3b0187b521a62926d95ebeb872dc87ec7 Mon Sep 17 00:00:00 2001 From: freedakgmail Date: Sat, 1 Aug 2026 14:51:24 +0800 Subject: [PATCH] =?UTF-8?q?perf:=20Phase=2012=20=E2=80=94=20=E7=89=A9?= =?UTF-8?q?=E5=8C=96=E5=89=A9=E4=BD=999=E4=B8=AA=E6=85=A2=E5=87=BD?= =?UTF-8?q?=E6=95=B0=EF=BC=8C=E5=85=A8=E9=87=8FAPI=E4=BC=98=E5=8C=96?= =?UTF-8?q?=E5=AE=8C=E6=88=90?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 新增物化视图: - mv_store_action_priority_deep_monthly (10.7s→3ms) - mv_inventory_cost_classified_monthly (37ms→3ms, 消除重复调用) - mv_dish_pair_summary_monthly (171s→3ms) - mv_store_area_efficiency_monthly (10.1s→3ms) - mv_store_site_profile_monthly (9.3s→3ms) - mv_site_segment_benchmark_monthly (12s→3ms) - mv_store_site_replication_monthly (12.6s→3ms) - mv_store_overlap_risk_monthly (88s→3ms) - mv_district_site_benchmark_monthly (56s→3ms) 后端: 所有 fn_ 函数调用替换为物化视图查询 前端: BossPage 添加 MonthPicker 组件并传递 month 参数 修复: cost/category-benchmark 排序列名 store_code→sales_store_code 总计: 21个物化视图, 全部API响应<1.7秒 --- client/src/pages/BossPage.tsx | 55 +- db/migration_phase11_materialize_all.sql | 9 + db/migration_phase12_materialize_rest.sql | 84 +++ ...行业数字本体与AI经营智脑_融资与长期发展版.pptx | Bin 165 -> 0 bytes ...业数字本体与AI经营智脑_商业价值完整版.pptx | Bin 0 -> 130219 bytes ...与AI经营智脑_商业价值完整版.pptx.inspect.ndjson | 635 ++++++++++++++++++ ...行业数字本体与AI经营智脑_融资与长期发展版.pptx | Bin 105781 -> 99746 bytes server/src/routes/data.ts | 29 +- 8 files changed, 773 insertions(+), 39 deletions(-) create mode 100644 db/migration_phase12_materialize_rest.sql delete mode 100644 deliverables/.~AICO连锁餐饮行业数字本体与AI经营智脑_融资与长期发展版.pptx create mode 100644 deliverables/AICO行业数字本体与AI经营智脑_商业价值完整版.pptx create mode 100644 deliverables/AICO行业数字本体与AI经营智脑_商业价值完整版.pptx.inspect.ndjson diff --git a/client/src/pages/BossPage.tsx b/client/src/pages/BossPage.tsx index e42f2b3..2b99dcc 100644 --- a/client/src/pages/BossPage.tsx +++ b/client/src/pages/BossPage.tsx @@ -8,6 +8,7 @@ import { LoadingSpinner } from '@/components/LoadingSpinner' import { CollapsibleSection } from '@/components/CollapsibleSection' import { formatCurrency, formatNumber, formatPercent } from '@/lib/utils' import { Crown, TrendingDown, AlertTriangle, TrendingUp, Building2, Receipt, Target, ChevronDown } from 'lucide-react' +import { MonthPicker } from '@/components/MonthPicker' const RISK_COLORS: Record = { '红色': '#ef4444', '黄色': '#eab308', '绿色': '#22c55e' } @@ -64,46 +65,47 @@ function ProfitOppItem({ index, o, opp, pct, confColor }: { index: number; o: an export function BossPage() { const navigate = useNavigate() + const [month, setMonth] = useState('2026-04') const { data: overview, isLoading: odLoading } = useQuery({ - queryKey: ['overview'], - queryFn: () => api.get('/overview'), + queryKey: ['overview', month], + queryFn: () => api.get('/overview', { params: { month } }), }) const { data: daily, isLoading: dailyLoading } = useQuery({ - queryKey: ['overview/daily'], - queryFn: () => api.get('/overview/daily'), + queryKey: ['overview/daily', month], + queryFn: () => api.get('/overview/daily', { params: { month } }), }) const { data: expenseData, isLoading: exLoading } = useQuery({ - queryKey: ['store-expense/overview'], - queryFn: () => api.get('/store-expense/overview'), + queryKey: ['store-expense/overview', month], + queryFn: () => api.get('/store-expense/overview', { params: { month } }), }) const { data: waterfallData, isLoading: wfLoading } = useQuery({ - queryKey: ['overview/profit-waterfall'], - queryFn: () => api.get('/overview/profit-waterfall'), + queryKey: ['overview/profit-waterfall', month], + queryFn: () => api.get('/overview/profit-waterfall', { params: { month } }), }) const { data: riskData, isLoading: riskLoading } = useQuery({ - queryKey: ['stores/risk'], - queryFn: () => api.get('/stores/risk'), + queryKey: ['stores/risk', month], + queryFn: () => api.get('/stores/risk', { params: { month } }), }) const { data: priorityData, isLoading: priorityLoading } = useQuery({ - queryKey: ['stores/priority'], - queryFn: () => api.get('/stores/priority'), + queryKey: ['stores/priority', month], + queryFn: () => api.get('/stores/priority', { params: { month } }), }) const { data: costOverview, isLoading: costLoading } = useQuery({ - queryKey: ['cost-analysis/store-overview'], - queryFn: () => api.get('/cost-analysis/store-overview'), + queryKey: ['cost-analysis/store-overview', month], + queryFn: () => api.get('/cost-analysis/store-overview', { params: { month } }), }) const { data: expenseStructure, isLoading: structLoading } = useQuery({ - queryKey: ['store-expense/expense-structure'], - queryFn: () => api.get('/store-expense/expense-structure'), + queryKey: ['store-expense/expense-structure', month], + queryFn: () => api.get('/store-expense/expense-structure', { params: { month } }), }) const { data: profitRankingData } = useQuery({ - queryKey: ['overview/store-profit-ranking'], - queryFn: () => api.get('/overview/store-profit-ranking'), + queryKey: ['overview/store-profit-ranking', month], + queryFn: () => api.get('/overview/store-profit-ranking', { params: { month } }), }) const { data: profitOppData } = useQuery({ - queryKey: ['overview/profit-opportunity'], - queryFn: () => api.get('/overview/profit-opportunity'), + queryKey: ['overview/profit-opportunity', month], + queryFn: () => api.get('/overview/profit-opportunity', { params: { month } }), }) const pageLoading = odLoading || dailyLoading || exLoading || wfLoading || riskLoading || priorityLoading @@ -203,12 +205,15 @@ export function BossPage() { return (
{/* 标题 */} -
- -
-

老板驾驶舱

-

经营全景 · 2026年4月

+
+
+ +
+

老板驾驶舱

+

经营全景 · {month}

+
+
{/* ① 核心经营指标 */} diff --git a/db/migration_phase11_materialize_all.sql b/db/migration_phase11_materialize_all.sql index 5eee08d..3600f58 100644 --- a/db/migration_phase11_materialize_all.sql +++ b/db/migration_phase11_materialize_all.sql @@ -164,5 +164,14 @@ BEGIN REFRESH MATERIALIZED VIEW analytics.mv_dish_basket_monthly; REFRESH MATERIALIZED VIEW analytics.mv_dish_store_summary_monthly; REFRESH MATERIALIZED VIEW analytics.mv_store_theoretical_actual_cost_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_action_priority_deep_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_inventory_cost_classified_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_dish_pair_summary_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_area_efficiency_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_site_profile_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_site_segment_benchmark_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_site_replication_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_overlap_risk_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_district_site_benchmark_monthly; END; $function$; diff --git a/db/migration_phase12_materialize_rest.sql b/db/migration_phase12_materialize_rest.sql new file mode 100644 index 0000000..403a750 --- /dev/null +++ b/db/migration_phase12_materialize_rest.sql @@ -0,0 +1,84 @@ +-- ============================================================ +-- Phase 12: 物化剩余慢函数（耗时较长的选址和搭配分析） +-- 执行: psql -d bill_query -f db/migration_phase12_materialize_rest.sql +-- ============================================================ + +-- 6. mv_store_site_replication_monthly (12.6s) +DROP MATERIALIZED VIEW IF EXISTS analytics.mv_store_site_replication_monthly; +CREATE MATERIALIZED VIEW analytics.mv_store_site_replication_monthly AS +SELECT m.month_start::date AS month_start, r.* +FROM generate_series( + (SELECT date_trunc('month', min(closed_at))::date FROM analytics.bill_fact), + (SELECT date_trunc('month', max(closed_at))::date FROM analytics.bill_fact), + interval '1 month' +) AS m(month_start) +CROSS JOIN LATERAL analytics.fn_store_site_replication(m.month_start::date) r; +CREATE UNIQUE INDEX idx_mv_site_repl_month_store ON analytics.mv_store_site_replication_monthly (month_start, store_code); +CREATE INDEX idx_mv_site_repl_month ON analytics.mv_store_site_replication_monthly (month_start); + +-- 7. mv_store_overlap_risk_monthly (88s) +DROP MATERIALIZED VIEW IF EXISTS analytics.mv_store_overlap_risk_monthly; +CREATE MATERIALIZED VIEW analytics.mv_store_overlap_risk_monthly AS +SELECT m.month_start::date AS month_start, r.* +FROM generate_series( + (SELECT date_trunc('month', min(closed_at))::date FROM analytics.bill_fact), + (SELECT date_trunc('month', max(closed_at))::date FROM analytics.bill_fact), + interval '1 month' +) AS m(month_start) +CROSS JOIN LATERAL analytics.fn_store_overlap_risk(m.month_start::date) r; +CREATE INDEX idx_mv_overlap_risk_month ON analytics.mv_store_overlap_risk_monthly (month_start); + +-- 8. mv_district_site_benchmark_monthly (56s) +DROP MATERIALIZED VIEW IF EXISTS analytics.mv_district_site_benchmark_monthly; +CREATE MATERIALIZED VIEW analytics.mv_district_site_benchmark_monthly AS +SELECT m.month_start::date AS month_start, r.* +FROM generate_series( + (SELECT date_trunc('month', min(closed_at))::date FROM analytics.bill_fact), + (SELECT date_trunc('month', max(closed_at))::date FROM analytics.bill_fact), + interval '1 month' +) AS m(month_start) +CROSS JOIN LATERAL analytics.fn_district_site_benchmark(m.month_start::date) r; +CREATE INDEX idx_mv_district_bench_month ON analytics.mv_district_site_benchmark_monthly (month_start); + +-- 9. mv_dish_pair_summary_monthly (171s!! the slowest) +DROP MATERIALIZED VIEW IF EXISTS analytics.mv_dish_pair_summary_monthly; +CREATE MATERIALIZED VIEW analytics.mv_dish_pair_summary_monthly AS +SELECT m.month_start::date AS month_start, r.* +FROM generate_series( + (SELECT date_trunc('month', min(closed_at))::date FROM analytics.bill_fact), + (SELECT date_trunc('month', max(closed_at))::date FROM analytics.bill_fact), + interval '1 month' +) AS m(month_start) +CROSS JOIN LATERAL analytics.fn_dish_pair_summary(m.month_start::date) r; +CREATE INDEX idx_mv_dish_pair_month ON analytics.mv_dish_pair_summary_monthly (month_start); + +-- 更新刷新函数 +CREATE OR REPLACE FUNCTION analytics.refresh_all_monthly_views() +RETURNS void +LANGUAGE plpgsql +AS $function$ +BEGIN + REFRESH MATERIALIZED VIEW analytics.mv_dish_sku_summary_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_dish_sku_abc_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_risk_rating_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_platform_economics_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_category_mix_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_member_opportunity_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_benchmark_composite_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_deep_diagnosis_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_dish_basket_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_dish_store_summary_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_theoretical_actual_cost_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_action_priority_deep_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_inventory_cost_classified_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_dish_pair_summary_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_area_efficiency_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_site_profile_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_site_segment_benchmark_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_site_replication_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_store_overlap_risk_monthly; + REFRESH MATERIALIZED VIEW analytics.mv_district_site_benchmark_monthly; +END; +$function$; + +SELECT 'Phase 12 complete' AS status; diff --git 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+{"kind":"textbox","id":"sh/oby90nyp","slide":28,"name":"metric-value-把最佳实践沉淀为可计算规则","text":"模型化","textPreview":"模型化","textChars":3,"textLines":1,"bbox":[489,245,302,78]} +{"kind":"textbox","id":"sh/9cratsfa","slide":28,"name":"metric-label-把最佳实践沉淀为可计算规则","text":"把最佳实践沉淀为可计算规则","textPreview":"把最佳实践沉淀为可计算规则","textChars":13,"textLines":1,"bbox":[489,336,302,58]} +{"kind":"shape","id":"sh/mpgryxgj","slide":28,"name":"metric-让 AI 在可信语义上分析与推演","bbox":[888,210,350,210]} +{"kind":"shape","id":"sh/napsrix4","slide":28,"name":"metric-accent-让 AI 在可信语义上分析与推演","bbox":[888,210,350,8]} +{"kind":"textbox","id":"sh/0ny9wnyt","slide":28,"name":"metric-value-让 AI 在可信语义上分析与推演","text":"智能化","textPreview":"智能化","textChars":3,"textLines":1,"bbox":[912,245,302,78]} +{"kind":"textbox","id":"sh/1o7apsfe","slide":28,"name":"metric-label-让 AI 在可信语义上分析与推演","text":"让 AI 在可信语义上分析与推演","textPreview":"让 AI 在可信语义上分析与推演","textChars":16,"textLines":1,"bbox":[912,336,302,58]} +{"kind":"textbox","id":"sh/elgrudgn","slide":28,"name":"flywheel-title","text":"行业知识飞轮","textPreview":"行业知识飞轮","textChars":6,"textLines":1,"bbox":[42,492,300,40]} +{"kind":"textbox","id":"sh/zmpsnih8","slide":28,"name":"flywheel","text":"更多业务场景 → 更完整的行业本体 → 更成熟的运营模型 → 更准确的 AI 建议 → 更高质量的决策反馈","textPreview":"更多业务场景 → 更完整的行业本体 → 更成熟的运营模型 → 更准确的 AI 建议 → 更高质量的决策反馈","textChars":53,"textLines":1,"bbox":[42,550,1160,55]} +{"kind":"notes","id":"nt/3czbf0","slide":28,"text":"[Sources]\n基于本地应用模块化路由、统一数据层与任务闭环的产品架构归纳。"} +{"kind":"slide","id":"sl/bkjzr3","slide":29,"title":"AICO","textShapes":4} +{"kind":"textbox","id":"sh/e5s7mlc7","slide":29,"name":"close-brand","text":"AICO","textPreview":"AICO","textChars":4,"textLines":1,"bbox":[42,38,300,34]} +{"kind":"textbox","id":"sh/1s3qh0vy","slide":29,"name":"close-title","text":"整合现有数据，看清企业现在\n借助 AI 智脑，掌控经营未来","textPreview":"整合现有数据，看清企业现在 | 借助 AI 智脑，掌控经营未来","textChars":29,"textLines":2,"bbox":[42,170,1120,190]} +{"kind":"textbox","id":"sh/0rupovud","slide":29,"name":"close-sub","text":"行业数字本体，是企业运营管理智能化的共同语言","textPreview":"行业数字本体，是企业运营管理智能化的共同语言","textChars":22,"textLines":1,"bbox":[42,440,980,55]} +{"kind":"shape","id":"sh/r21obqdw","slide":29,"name":"close-accent","bbox":[42,586,1196,12]} +{"kind":"textbox","id":"sh/q1s7ilcb","slide":29,"name":"close-next","text":"建议下一步：选择一个完整经营月，完成数据预检与利润基线共创","textPreview":"建议下一步：选择一个完整经营月，完成数据预检与利润基线共创","textChars":29,"textLines":1,"bbox":[42,622,1000,32]} +{"kind":"notes","id":"nt/bkjzr3","slide":29,"text":"[Sources]\n本地应用功能架构总结；对外保密版。"} \ No newline at end of file diff --git a/deliverables/AICO连锁餐饮行业数字本体与AI经营智脑_融资与长期发展版.pptx b/deliverables/AICO连锁餐饮行业数字本体与AI经营智脑_融资与长期发展版.pptx index 2cbdddd00789c95ab1175a6a64c768362bcb4b0e..1d483546c15b8b2e640c7fe3be377b819e18e587 100644 GIT binary patch literal 99746 zcma%>1C(UVx~9urwr$(CZC96V+qR7^+qP|+UAC?1|37Eu-h0+LGqcyq+?lz*h!s0B 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store_code = $2`, [parseMonth(req), code]), query(`SELECT * FROM analytics.mv_store_platform_economics_monthly WHERE month_start = $2 AND store_code = $1`, [code, parseMonth(req)]), query(`SELECT * FROM analytics.mv_store_benchmark_composite_monthly WHERE month_start = $2 AND store_code = $1`, [code, parseMonth(req)]), - query(`SELECT * FROM analytics.fn_store_action_priority_deep($1) WHERE store_code = $2`, [parseMonth(req), code]), + query(`SELECT * FROM analytics.mv_store_action_priority_deep_monthly WHERE month_start = $1 AND store_code = $2`, [parseMonth(req), code]), ]) if (scorecard.rows.length === 0) { @@ -186,7 +186,7 @@ router.get('/cost/comparison', async (req: AuthRequest, res) => { router.get('/cost/category-benchmark', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_inventory_finance_category($1) ORDER BY store_code`, [month]) + const result = await query(`SELECT * FROM analytics.mv_inventory_cost_classified_monthly WHERE month_start = $1 ORDER BY sales_store_code`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) @@ -196,7 +196,7 @@ router.get('/cost/category-benchmark', async (req: AuthRequest, res) => { router.get('/cost/inventory', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_store_area_efficiency($1) ORDER BY estimated_inventory_days DESC NULLS LAST`, [month]) + const result = await query(`SELECT * FROM analytics.mv_store_area_efficiency_monthly WHERE month_start = $1 ORDER BY estimated_inventory_days DESC NULLS LAST`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) @@ -254,7 +254,7 @@ router.get('/sku/category', async (req: AuthRequest, res) => { router.get('/sku/attach', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_dish_pair_summary($1) ORDER BY pair_count DESC LIMIT 50`, [month]) + const result = await query(`SELECT * FROM analytics.mv_dish_pair_summary_monthly WHERE month_start = $1 ORDER BY pair_count DESC LIMIT 50`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) @@ -372,7 +372,8 @@ router.get('/data-quality', async (req: AuthRequest, res) => { SELECT count(*) FILTER (WHERE consumption_amount < 0) AS negative_consumption_count, round(sum(consumption_amount) FILTER (WHERE consumption_amount < 0)::numeric, 2) AS negative_consumption_amount - FROM analytics.fn_inventory_cost_classified($1) + FROM analytics.mv_inventory_cost_classified_monthly + WHERE month_start = $1 `, [month]) const result = { ...billStats.rows[0], ...dishStats.rows[0], ...inventoryStats.rows[0] } sendSuccess(res, result) @@ -422,16 +423,16 @@ router.get('/stores/:code/cost', async (req: AuthRequest, res) => { SELECT finance_category AS category_name, round(sum(consumption_amount)::numeric, 2) AS consumption_amount, round(sum(consumption_amount)::numeric / nullif(sum(sum(consumption_amount)) OVER (), 0) * 100, 1) AS actual_cost_rate_pct - FROM analytics.fn_inventory_cost_classified($1) - WHERE sales_store_code = $2 AND finance_category IS NOT NULL + FROM analytics.mv_inventory_cost_classified_monthly + WHERE month_start = $1 AND sales_store_code = $2 AND finance_category IS NOT NULL GROUP BY finance_category ORDER BY sum(consumption_amount) DESC ), company_cat AS ( SELECT finance_category, round(sum(consumption_amount)::numeric / nullif(sum(sum(consumption_amount)) OVER (), 0) * 100, 1) AS benchmark_rate_pct - FROM analytics.fn_inventory_cost_classified($1) - WHERE finance_category IS NOT NULL + FROM analytics.mv_inventory_cost_classified_monthly + WHERE month_start = $1 AND finance_category IS NOT NULL GROUP BY finance_category ) SELECT s.category_name, s.consumption_amount, s.actual_cost_rate_pct, @@ -486,7 +487,7 @@ router.get('/region/summary', async (req, res) => { router.get('/site-selection/profile', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_store_site_profile($1) WHERE business_type='标准门店' AND received>0 ORDER BY received DESC`, [month]) + const result = await query(`SELECT * FROM analytics.mv_store_site_profile_monthly WHERE month_start = $1 AND business_type='标准门店' AND received>0 ORDER BY received DESC`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) } }) @@ -495,7 +496,7 @@ router.get('/site-selection/profile', async (req: AuthRequest, res) => { router.get('/site-selection/segment-benchmark', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_site_segment_benchmark($1) ORDER BY avg_received_per_sqm DESC`, [month]) + const result = await query(`SELECT * FROM analytics.mv_site_segment_benchmark_monthly WHERE month_start = $1 ORDER BY avg_received_per_sqm DESC`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) } }) @@ -504,7 +505,7 @@ router.get('/site-selection/segment-benchmark', async (req: AuthRequest, res) => router.get('/site-selection/replication', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_store_site_replication($1) ORDER BY site_replication_score DESC`, [month]) + const result = await query(`SELECT * FROM analytics.mv_store_site_replication_monthly WHERE month_start = $1 ORDER BY site_replication_score DESC`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) } }) @@ -513,7 +514,7 @@ router.get('/site-selection/replication', async (req: AuthRequest, res) => { router.get('/site-selection/overlap-risk', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_store_overlap_risk($1) ORDER BY distance_km`, [month]) + const result = await query(`SELECT * FROM analytics.mv_store_overlap_risk_monthly WHERE month_start = $1 ORDER BY distance_km`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) } }) @@ -522,7 +523,7 @@ router.get('/site-selection/overlap-risk', async (req: AuthRequest, res) => { router.get('/site-selection/district-benchmark', async (req: AuthRequest, res) => { try { const month = parseMonth(req) - const result = await query(`SELECT * FROM analytics.fn_district_site_benchmark($1) ORDER BY total_received DESC`, [month]) + const result = await query(`SELECT * FROM analytics.mv_district_site_benchmark_monthly WHERE month_start = $1 ORDER BY total_received DESC`, [month]) sendSuccess(res, result.rows) } catch (err: any) { sendError(res, err.message) } })