feat(mfg-data-agent): 添加HTML可视化仪表盘和优化项目配置
- 新增6个HTML可视化仪表盘组件用于数据展示 * 人效产值损耗三维模型仪表盘 * 指标趋势分析与拐点预警仪表盘 * 一页式决策简报仪表盘 * 订单延迟预警分析仪表盘 * 供应链风险预警仪表盘 * 工单执行进度与异常节点仪表盘 - 添加VSCode工作区配置文件 - 更新businessQueries.json业务查询配置 - 优化api_client.py API客户端实现 - 更新pyproject.toml项目依赖版本 - 重组SQL查询文件结构 - 删除v2版本冗余文档配置 - 添加v2版本技能清单文档 - 更新日志文件记录
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lzwcai_mcpskills_mfg_data_agent/sql/一页式决策简报.sql
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lzwcai_mcpskills_mfg_data_agent/sql/一页式决策简报.sql
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-- =====================================================
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-- 一页式决策简报SQL
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-- One-Page Decision Brief
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-- 数据库: PostgreSQL
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-- =====================================================
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-- =====================================================
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-- 主查询：一页式决策简报
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-- =====================================================
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WITH
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sales_summary AS (
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SELECT
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COUNT(*) AS total_orders,
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SUM(deal_amount) AS total_sales_amount,
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AVG(deal_amount) AS avg_order_amount,
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SUM(CASE WHEN payment_status = 'PAID' THEN 1 ELSE 0 END) AS paid_orders,
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SUM(CASE WHEN payment_status = 'PARTIAL' THEN 1 ELSE 0 END) AS partial_orders,
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SUM(CASE WHEN payment_status = 'UNPAID' THEN 1 ELSE 0 END) AS unpaid_orders,
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SUM(CASE WHEN payment_status = 'PAID' THEN deal_amount ELSE 0 END) AS paid_amount,
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SUM(CASE WHEN payment_status = 'UNPAID' THEN deal_amount ELSE 0 END) AS unpaid_amount
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FROM fact_sales_order
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),
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production_summary AS (
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SELECT
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COUNT(*) AS total_work_orders,
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SUM(planned_qty) AS total_planned_qty,
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SUM(completed_qty) AS total_completed_qty,
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SUM(CASE WHEN status = 'CLOSED' THEN 1 ELSE 0 END) AS closed_orders,
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SUM(CASE WHEN status = 'STARTED' THEN 1 ELSE 0 END) AS started_orders,
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SUM(CASE WHEN status = 'OPEN' THEN 1 ELSE 0 END) AS open_orders
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FROM fact_work_order
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),
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ar_summary AS (
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SELECT
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COUNT(*) AS receipt_count,
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SUM(amount) AS total_receipt_amount,
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AVG(amount) AS avg_receipt_amount
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FROM fact_ar_receipt
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),
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ap_summary AS (
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SELECT
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COUNT(*) AS payment_count,
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SUM(amount) AS total_payment_amount,
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AVG(amount) AS avg_payment_amount
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FROM fact_ap_payment
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),
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invoice_summary AS (
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SELECT
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COUNT(*) AS invoice_count,
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SUM(invoice_amount) AS total_invoice_amount,
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AVG(invoice_amount) AS avg_invoice_amount
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FROM fact_invoice
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),
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return_summary AS (
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SELECT
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COUNT(*) AS return_count,
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SUM(amount) AS total_return_amount,
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AVG(amount) AS avg_return_amount
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FROM fact_sales_return
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),
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shipment_summary AS (
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SELECT
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COUNT(*) AS shipment_count,
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SUM(amount) AS total_shipment_amount,
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AVG(amount) AS avg_shipment_amount
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FROM fact_sales_shipment
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),
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purchase_summary AS (
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SELECT COUNT(*) AS purchase_order_count
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FROM fact_purchase_order
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),
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quality_summary AS (
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SELECT
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COUNT(*) AS inspection_count,
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SUM(pass_qty) AS total_pass_qty,
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SUM(fail_qty) AS total_fail_qty
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FROM fact_quality_inspection
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),
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labor_summary AS (
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SELECT
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COUNT(DISTINCT worker_name) AS worker_count,
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SUM(duration_minutes) AS total_work_minutes,
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SUM(report_qty) AS total_output_qty
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FROM fact_labor_report
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),
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scrap_summary AS (
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SELECT COUNT(*) AS scrap_count
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FROM fact_scrap
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)
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SELECT
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'Decision Brief' AS report_title,
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CURRENT_DATE AS report_date,
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-- 销售板块
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ss.total_orders AS sales_order_count,
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ROUND(ss.total_sales_amount, 2) AS total_sales_amount,
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ROUND(ss.avg_order_amount, 2) AS avg_order_amount,
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ss.paid_orders AS paid_order_count,
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ss.partial_orders AS partial_paid_count,
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ss.unpaid_orders AS unpaid_order_count,
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ROUND(ss.paid_orders * 100.0 / NULLIF(ss.total_orders, 0), 1) AS payment_completion_rate,
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ROUND(ss.unpaid_amount, 2) AS receivable_amount,
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-- 生产板块
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ps.total_work_orders AS work_order_count,
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ps.closed_orders AS completed_work_orders,
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ps.started_orders AS in_progress_work_orders,
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ps.open_orders AS pending_work_orders,
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ROUND(ps.total_planned_qty, 0) AS planned_qty,
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ROUND(ps.total_completed_qty, 0) AS completed_qty,
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ROUND(ps.total_completed_qty * 100.0 / NULLIF(ps.total_planned_qty, 0), 1) AS production_completion_rate,
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-- 人效板块
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ls.worker_count AS active_worker_count,
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ROUND(ls.total_work_minutes / 60.0, 1) AS total_work_hours,
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ROUND(ls.total_output_qty, 0) AS total_output,
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ROUND(ls.total_output_qty / NULLIF(ls.worker_count, 0), 1) AS output_per_worker,
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ROUND(ls.total_output_qty / NULLIF(ls.total_work_minutes / 60.0, 0), 2) AS output_per_hour,
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-- 质量板块
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qs.inspection_count AS qc_batch_count,
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ROUND(qs.total_pass_qty, 0) AS pass_qty,
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ROUND(qs.total_fail_qty, 0) AS fail_qty,
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ROUND(qs.total_pass_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0), 2) AS pass_rate,
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ROUND(qs.total_fail_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0), 2) AS defect_rate,
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scr.scrap_count AS scrap_record_count,
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-- 财务板块
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ar.receipt_count AS ar_receipt_count,
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ROUND(ar.total_receipt_amount, 2) AS total_ar_amount,
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ap.payment_count AS ap_payment_count,
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ROUND(ap.total_payment_amount, 2) AS total_ap_amount,
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ROUND(ar.total_receipt_amount - ap.total_payment_amount, 2) AS net_cash_flow,
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inv.invoice_count AS invoice_count,
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ROUND(inv.total_invoice_amount, 2) AS total_invoice_amount,
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-- 物流板块
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sh.shipment_count AS shipment_count,
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ROUND(sh.total_shipment_amount, 2) AS total_shipment_amount,
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pur.purchase_order_count AS purchase_order_count,
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-- 售后板块
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ret.return_count AS return_count,
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ROUND(ret.total_return_amount, 2) AS total_return_amount,
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ROUND(ret.total_return_amount * 100.0 / NULLIF(ss.total_sales_amount, 0), 2) AS return_rate,
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-- 综合健康度评估
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CASE
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WHEN (qs.total_pass_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0)) >= 95
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AND (ps.total_completed_qty * 100.0 / NULLIF(ps.total_planned_qty, 0)) >= 80
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AND (ret.total_return_amount * 100.0 / NULLIF(ss.total_sales_amount, 0)) < 5
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THEN 'EXCELLENT'
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WHEN (qs.total_pass_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0)) >= 90
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AND (ps.total_completed_qty * 100.0 / NULLIF(ps.total_planned_qty, 0)) >= 60
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AND (ret.total_return_amount * 100.0 / NULLIF(ss.total_sales_amount, 0)) < 10
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THEN 'GOOD'
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ELSE 'WARNING'
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END AS health_status
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FROM sales_summary ss
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CROSS JOIN production_summary ps
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CROSS JOIN ar_summary ar
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CROSS JOIN ap_summary ap
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CROSS JOIN invoice_summary inv
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CROSS JOIN return_summary ret
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CROSS JOIN shipment_summary sh
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CROSS JOIN purchase_summary pur
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CROSS JOIN quality_summary qs
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CROSS JOIN labor_summary ls
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CROSS JOIN scrap_summary scr;
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-- =====================================================
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-- 补充查询1：本月 vs 上月对比分析
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-- =====================================================
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WITH
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current_month AS (
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SELECT
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'current_month' AS period,
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COUNT(*) AS order_count,
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SUM(deal_amount) AS sales_amount
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FROM fact_sales_order
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WHERE DATE_TRUNC('month', order_date_utc::timestamp) = DATE_TRUNC('month', CURRENT_DATE)
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),
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last_month AS (
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SELECT
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'last_month' AS period,
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COUNT(*) AS order_count,
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SUM(deal_amount) AS sales_amount
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FROM fact_sales_order
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WHERE DATE_TRUNC('month', order_date_utc::timestamp) = DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month')
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)
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SELECT
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period,
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order_count,
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ROUND(sales_amount, 2) AS sales_amount
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FROM current_month
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UNION ALL
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SELECT * FROM last_month;
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-- =====================================================
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-- 补充查询2：客户贡献度TOP10
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-- =====================================================
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SELECT
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c.customer_name,
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COUNT(so.sales_order_id) AS order_count,
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ROUND(SUM(so.deal_amount), 2) AS total_order_amount,
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ROUND(SUM(so.deal_amount) * 100.0 / (SELECT SUM(deal_amount) FROM fact_sales_order), 2) AS contribution_rate,
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SUM(CASE WHEN so.payment_status = 'PAID' THEN 1 ELSE 0 END) AS paid_order_count,
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SUM(CASE WHEN so.payment_status = 'UNPAID' THEN so.deal_amount ELSE 0 END) AS receivable_amount
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FROM fact_sales_order so
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INNER JOIN dim_customer c ON so.customer_id = c.customer_id AND c.is_current = 't'
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GROUP BY c.customer_name
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ORDER BY total_order_amount DESC
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LIMIT 10;
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-- =====================================================
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-- 补充查询3：产品类别业绩分析
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-- =====================================================
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SELECT
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p.product_category,
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COUNT(DISTINCT wo.work_order_id) AS work_order_count,
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ROUND(SUM(wo.planned_qty), 0) AS planned_qty,
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ROUND(SUM(wo.completed_qty), 0) AS completed_qty,
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ROUND(SUM(wo.completed_qty) * 100.0 / NULLIF(SUM(wo.planned_qty), 0), 1) AS completion_rate,
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COUNT(DISTINCT lr.worker_name) AS worker_count,
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ROUND(SUM(lr.duration_minutes) / 60.0, 1) AS total_work_hours
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FROM dim_product p
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LEFT JOIN fact_work_order wo ON p.product_id = wo.product_id
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LEFT JOIN fact_labor_report lr ON p.product_id = lr.product_id
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WHERE p.is_current = 't'
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GROUP BY p.product_category
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ORDER BY completed_qty DESC;
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-- =====================================================
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-- 补充查询4：关键预警指标
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-- =====================================================
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SELECT
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'warning_metrics' AS category,
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'unpaid_order_amount' AS metric_name,
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ROUND(SUM(CASE WHEN payment_status = 'UNPAID' THEN deal_amount ELSE 0 END), 2) AS current_value,
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50000 AS threshold,
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CASE
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WHEN SUM(CASE WHEN payment_status = 'UNPAID' THEN deal_amount ELSE 0 END) > 50000
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THEN 'EXCEEDED' ELSE 'NORMAL'
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END AS status
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FROM fact_sales_order
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UNION ALL
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SELECT
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'warning_metrics',
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'defect_rate_pct',
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ROUND(SUM(fail_qty) * 100.0 / NULLIF(SUM(pass_qty) + SUM(fail_qty), 0), 2),
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5,
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CASE
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WHEN SUM(fail_qty) * 100.0 / NULLIF(SUM(pass_qty) + SUM(fail_qty), 0) > 5
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THEN 'EXCEEDED' ELSE 'NORMAL'
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END
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FROM fact_quality_inspection
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UNION ALL
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SELECT
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'warning_metrics',
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'production_completion_rate',
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ROUND(SUM(completed_qty) * 100.0 / NULLIF(SUM(planned_qty), 0), 2),
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70,
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CASE
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WHEN SUM(completed_qty) * 100.0 / NULLIF(SUM(planned_qty), 0) < 70
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THEN 'LOW' ELSE 'NORMAL'
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END
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FROM fact_work_order
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UNION ALL
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SELECT
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'warning_metrics',
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'return_rate_pct',
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ROUND((SELECT SUM(amount) FROM fact_sales_return) * 100.0 /
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NULLIF((SELECT SUM(deal_amount) FROM fact_sales_order), 0), 2),
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5,
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CASE
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WHEN (SELECT SUM(amount) FROM fact_sales_return) * 100.0 /
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NULLIF((SELECT SUM(deal_amount) FROM fact_sales_order), 0) > 5
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THEN 'EXCEEDED' ELSE 'NORMAL'
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END;
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-- =====================================================
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-- 补充查询5：月度趋势汇总
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-- =====================================================
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SELECT
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TO_CHAR(DATE_TRUNC('month', order_date_utc::timestamp), 'YYYY-MM') AS month,
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COUNT(*) AS order_count,
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ROUND(SUM(deal_amount), 2) AS sales_amount,
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ROUND(AVG(deal_amount), 2) AS avg_order_amount,
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SUM(CASE WHEN payment_status = 'PAID' THEN 1 ELSE 0 END) AS paid_count,
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SUM(CASE WHEN payment_status = 'UNPAID' THEN 1 ELSE 0 END) AS unpaid_count
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FROM fact_sales_order
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GROUP BY DATE_TRUNC('month', order_date_utc::timestamp)
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ORDER BY month DESC
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LIMIT 12;
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