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-- =============================================================================
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-- 迁移脚本：扩展助教日度业绩明细表 — 新增定档折算惩罚字段
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-- 日期：2025-02-24
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-- 说明：在 dws.dws_assistant_daily_detail 中新增 penalty_minutes、penalty_reason、
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-- is_exempt、per_hour_contribution 四个字段，支撑定档折算惩罚检测与计算。
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-- 需求：5.1, 5.2
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-- =============================================================================
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BEGIN;
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-- ---------------------------------------------------------------------------
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-- 1. ALTER TABLE：新增定档折算惩罚字段
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-- ---------------------------------------------------------------------------
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ALTER TABLE dws.dws_assistant_daily_detail
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ADD COLUMN IF NOT EXISTS penalty_minutes NUMERIC(10,2) DEFAULT 0,
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ADD COLUMN IF NOT EXISTS penalty_reason TEXT,
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ADD COLUMN IF NOT EXISTS is_exempt BOOLEAN DEFAULT FALSE,
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ADD COLUMN IF NOT EXISTS per_hour_contribution NUMERIC(14,2);
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COMMENT ON COLUMN dws.dws_assistant_daily_detail.penalty_minutes
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IS '定档折算惩罚分钟数，无惩罚时为 0';
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COMMENT ON COLUMN dws.dws_assistant_daily_detail.penalty_reason
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IS '惩罚原因描述，无惩罚时为 NULL';
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COMMENT ON COLUMN dws.dws_assistant_daily_detail.is_exempt
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IS '是否豁免惩罚，TRUE 时跳过惩罚计算';
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COMMENT ON COLUMN dws.dws_assistant_daily_detail.per_hour_contribution
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IS '单人每小时贡献流水 = 台费每小时实收单价 / 本次基础课助教人数';
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COMMIT;
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-- =============================================================================
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-- 回滚脚本（如需撤销）
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-- =============================================================================
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-- ALTER TABLE dws.dws_assistant_daily_detail
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-- DROP COLUMN IF EXISTS penalty_minutes,
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-- DROP COLUMN IF EXISTS penalty_reason,
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-- DROP COLUMN IF EXISTS is_exempt,
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-- DROP COLUMN IF EXISTS per_hour_contribution;
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-- =============================================================================
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-- 验证 SQL
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-- =============================================================================
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-- 1. 确认新增字段存在
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-- SELECT column_name, data_type, column_default
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-- FROM information_schema.columns
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-- WHERE table_schema = 'dws'
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-- AND table_name = 'dws_assistant_daily_detail'
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-- AND column_name IN ('penalty_minutes', 'penalty_reason', 'is_exempt', 'per_hour_contribution')
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-- ORDER BY column_name;
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-- 预期：4 行
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-- 2. 确认字段类型正确
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-- SELECT column_name, data_type, numeric_precision, numeric_scale
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-- FROM information_schema.columns
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-- WHERE table_schema = 'dws'
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-- AND table_name = 'dws_assistant_daily_detail'
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-- AND column_name IN ('penalty_minutes', 'per_hour_contribution')
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-- ORDER BY column_name;
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-- 预期：penalty_minutes → numeric(10,2)，per_hour_contribution → numeric(14,2)
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-- 3. 确认 is_exempt 默认值
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-- SELECT column_name, column_default
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-- FROM information_schema.columns
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-- WHERE table_schema = 'dws'
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-- AND table_name = 'dws_assistant_daily_detail'
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-- AND column_name = 'is_exempt';
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-- 预期：column_default = 'false'
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@@ -1,89 +0,0 @@
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-- =============================================================================
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-- 迁移脚本：扩展会员消费汇总表 — 新增充值窗口和次均消费字段
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-- 日期：2025-02-24
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-- 说明：在 dws.dws_member_consumption_summary 中新增 30/60/90 天充值次数、
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-- 充值金额以及次均消费额度字段，支撑小程序客户看板展示。
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-- 需求：3.1, 3.2
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-- =============================================================================
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BEGIN;
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-- ---------------------------------------------------------------------------
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-- 1. ALTER TABLE：新增充值窗口 + 次均消费字段
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-- ---------------------------------------------------------------------------
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ALTER TABLE dws.dws_member_consumption_summary
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ADD COLUMN IF NOT EXISTS recharge_count_30d INTEGER DEFAULT 0,
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ADD COLUMN IF NOT EXISTS recharge_count_60d INTEGER DEFAULT 0,
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ADD COLUMN IF NOT EXISTS recharge_count_90d INTEGER DEFAULT 0,
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ADD COLUMN IF NOT EXISTS recharge_amount_30d NUMERIC(14,2) DEFAULT 0,
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ADD COLUMN IF NOT EXISTS recharge_amount_60d NUMERIC(14,2) DEFAULT 0,
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ADD COLUMN IF NOT EXISTS recharge_amount_90d NUMERIC(14,2) DEFAULT 0,
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ADD COLUMN IF NOT EXISTS avg_ticket_amount NUMERIC(14,2) DEFAULT 0;
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COMMENT ON COLUMN dws.dws_member_consumption_summary.recharge_count_30d
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IS '近 30 天充值次数';
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COMMENT ON COLUMN dws.dws_member_consumption_summary.recharge_count_60d
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IS '近 60 天充值次数';
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COMMENT ON COLUMN dws.dws_member_consumption_summary.recharge_count_90d
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IS '近 90 天充值次数';
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COMMENT ON COLUMN dws.dws_member_consumption_summary.recharge_amount_30d
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IS '近 30 天充值金额';
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COMMENT ON COLUMN dws.dws_member_consumption_summary.recharge_amount_60d
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IS '近 60 天充值金额';
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COMMENT ON COLUMN dws.dws_member_consumption_summary.recharge_amount_90d
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IS '近 90 天充值金额';
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COMMENT ON COLUMN dws.dws_member_consumption_summary.avg_ticket_amount
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IS '次均消费额度 = total_consume_amount / MAX(total_visit_count, 1)';
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COMMIT;
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-- =============================================================================
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-- 回滚脚本（如需撤销）
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-- =============================================================================
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-- ALTER TABLE dws.dws_member_consumption_summary
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-- DROP COLUMN IF EXISTS recharge_count_30d,
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-- DROP COLUMN IF EXISTS recharge_count_60d,
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-- DROP COLUMN IF EXISTS recharge_count_90d,
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-- DROP COLUMN IF EXISTS recharge_amount_30d,
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-- DROP COLUMN IF EXISTS recharge_amount_60d,
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-- DROP COLUMN IF EXISTS recharge_amount_90d,
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-- DROP COLUMN IF EXISTS avg_ticket_amount;
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-- =============================================================================
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-- 验证 SQL
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-- =============================================================================
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-- 1. 确认新增字段存在
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-- SELECT column_name, data_type, column_default
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-- FROM information_schema.columns
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-- WHERE table_schema = 'dws'
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-- AND table_name = 'dws_member_consumption_summary'
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-- AND column_name IN (
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-- 'recharge_count_30d', 'recharge_count_60d', 'recharge_count_90d',
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-- 'recharge_amount_30d', 'recharge_amount_60d', 'recharge_amount_90d',
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-- 'avg_ticket_amount'
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-- )
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-- ORDER BY column_name;
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-- 预期：7 行
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-- 2. 确认字段类型正确
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-- SELECT column_name, data_type, numeric_precision, numeric_scale
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-- FROM information_schema.columns
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-- WHERE table_schema = 'dws'
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-- AND table_name = 'dws_member_consumption_summary'
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-- AND column_name LIKE 'recharge_amount%'
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-- ORDER BY column_name;
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-- 预期：3 行，data_type = numeric, precision = 14, scale = 2
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-- 3. 确认注释已设置
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-- SELECT c.column_name,
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-- pgd.description
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-- FROM information_schema.columns c
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-- JOIN pg_catalog.pg_statio_all_tables st
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-- ON c.table_schema = st.schemaname AND c.table_name = st.relname
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-- JOIN pg_catalog.pg_description pgd
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-- ON pgd.objoid = st.relid AND pgd.objsubid = c.ordinal_position
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-- WHERE c.table_schema = 'dws'
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-- AND c.table_name = 'dws_member_consumption_summary'
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-- AND c.column_name LIKE 'recharge%'
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-- ORDER BY c.column_name;
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-- 预期：6 行，description 非空
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@@ -1,89 +0,0 @@
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-- =============================================================================
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-- 迁移脚本：创建助教订单流水四项统计表
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-- 日期：2025-02-24
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-- 说明：新建 dws.dws_assistant_order_contribution 表，存储每名助教每日的
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-- 订单总流水、订单净流水、时效贡献流水、时效净贡献四项统计数据。
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-- 需求：1.1, 1.2, 1.3, 1.4, 1.5
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-- =============================================================================
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BEGIN;
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-- ---------------------------------------------------------------------------
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-- 1. 建表：dws.dws_assistant_order_contribution
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-- ---------------------------------------------------------------------------
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CREATE TABLE IF NOT EXISTS dws.dws_assistant_order_contribution (
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contribution_id BIGSERIAL PRIMARY KEY,
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site_id INTEGER NOT NULL,
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tenant_id INTEGER NOT NULL,
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assistant_id BIGINT NOT NULL,
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assistant_nickname VARCHAR(100),
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stat_date DATE NOT NULL,
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-- 四项统计
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order_gross_revenue NUMERIC(14,2) DEFAULT 0, -- 订单总流水
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order_net_revenue NUMERIC(14,2) DEFAULT 0, -- 订单净流水
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time_weighted_revenue NUMERIC(14,2) DEFAULT 0, -- 时效贡献流水
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time_weighted_net_revenue NUMERIC(14,2) DEFAULT 0, -- 时效净贡献
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-- 辅助字段
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order_count INTEGER DEFAULT 0, -- 参与订单数
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total_service_seconds INTEGER DEFAULT 0, -- 总服务时长（秒）
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-- 元数据
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created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
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updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
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);
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COMMENT ON TABLE dws.dws_assistant_order_contribution
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IS '助教订单流水四项统计表，粒度 (site_id, assistant_id, stat_date)';
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COMMENT ON COLUMN dws.dws_assistant_order_contribution.order_gross_revenue
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IS '订单总流水 = 台费 + 酒水食品 + 所有助教服务费';
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COMMENT ON COLUMN dws.dws_assistant_order_contribution.order_net_revenue
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IS '订单净流水 = 订单总流水 - 所有助教服务分成';
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COMMENT ON COLUMN dws.dws_assistant_order_contribution.time_weighted_revenue
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IS '时效贡献流水 = 台费按时长分摊 + 个人服务费 + 酒水食品按时长比例';
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COMMENT ON COLUMN dws.dws_assistant_order_contribution.time_weighted_net_revenue
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IS '时效净贡献 = 时效贡献流水 - 个人服务分成';
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-- ---------------------------------------------------------------------------
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-- 2. 唯一索引：确保 (site_id, assistant_id, stat_date) 唯一
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-- ---------------------------------------------------------------------------
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CREATE UNIQUE INDEX IF NOT EXISTS idx_aoc_site_assistant_date
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ON dws.dws_assistant_order_contribution (site_id, assistant_id, stat_date);
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-- ---------------------------------------------------------------------------
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-- 3. 查询索引：按门店+日期查询
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-- ---------------------------------------------------------------------------
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CREATE INDEX IF NOT EXISTS idx_aoc_stat_date
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ON dws.dws_assistant_order_contribution (site_id, stat_date);
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COMMIT;
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-- =============================================================================
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-- 回滚脚本（如需撤销）
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-- =============================================================================
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-- DROP INDEX IF EXISTS dws.idx_aoc_stat_date;
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-- DROP INDEX IF EXISTS dws.idx_aoc_site_assistant_date;
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-- DROP TABLE IF EXISTS dws.dws_assistant_order_contribution;
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-- =============================================================================
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-- 验证 SQL
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-- =============================================================================
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-- 1. 确认表存在
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-- SELECT table_schema, table_name FROM information_schema.tables
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-- WHERE table_schema = 'dws' AND table_name = 'dws_assistant_order_contribution';
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-- 预期：1 行
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-- 2. 确认字段完整
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-- SELECT column_name, data_type, column_default
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-- FROM information_schema.columns
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-- WHERE table_schema = 'dws' AND table_name = 'dws_assistant_order_contribution'
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-- ORDER BY ordinal_position;
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-- 预期：16 行
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-- 3. 确认索引存在
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-- SELECT indexname FROM pg_indexes
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-- WHERE schemaname = 'dws' AND tablename = 'dws_assistant_order_contribution'
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-- ORDER BY indexname;
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-- 预期：3 行（PK + idx_aoc_site_assistant_date + idx_aoc_stat_date）
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@@ -1,34 +0,0 @@
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-- =============================================================================
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-- RLS 视图：助教订单流水统计 + 已有视图重建（包含新增字段）
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-- 目标库：test_etl_feiqiu（测试）/ etl_feiqiu（生产）
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-- 前提：dws.dws_assistant_order_contribution 表已创建；
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-- dws.dws_member_consumption_summary 已新增充值窗口字段；
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-- dws.dws_assistant_daily_detail 已新增惩罚字段
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-- =============================================================================
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-- -----------------------------------------------------------------------------
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-- 1. 新建：助教订单流水统计 RLS 视图
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-- -----------------------------------------------------------------------------
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CREATE OR REPLACE VIEW app.v_dws_assistant_order_contribution AS
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SELECT * FROM dws.dws_assistant_order_contribution
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WHERE site_id = current_setting('app.current_site_id')::bigint;
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GRANT SELECT ON app.v_dws_assistant_order_contribution TO app_reader;
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-- -----------------------------------------------------------------------------
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-- 2. 重建已有视图（使用 SELECT * 以包含新增字段）
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-- 原视图使用显式字段列表，新增字段不会自动暴露
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-- -----------------------------------------------------------------------------
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CREATE OR REPLACE VIEW app.v_dws_member_consumption_summary AS
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SELECT * FROM dws.dws_member_consumption_summary
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WHERE site_id = current_setting('app.current_site_id')::bigint;
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CREATE OR REPLACE VIEW app.v_dws_assistant_daily_detail AS
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SELECT * FROM dws.dws_assistant_daily_detail
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WHERE site_id = current_setting('app.current_site_id')::bigint;
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-- =============================================================================
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-- 回滚脚本
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-- =============================================================================
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-- DROP VIEW IF EXISTS app.v_dws_assistant_order_contribution;
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-- 对于已有视图的回滚，需要用旧的显式字段列表重建（参见 2026-02-24__p1_create_app_schema_rls_views.sql）
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@@ -1,139 +0,0 @@
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-- =============================================================================
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-- 迁移脚本：创建员工档案 ODS + DWD 表
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-- 日期：2026-02-22
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-- 说明：从 SearchSystemStaffInfo API 抓取员工数据，ODS 落地后清洗至 DWD 维度表
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-- 需求：US-1, US-2, US-3
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-- =============================================================================
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-- ---------------------------------------------------------------------------
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-- 1. ODS 层：ods.staff_info_master
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-- ---------------------------------------------------------------------------
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CREATE TABLE ods.staff_info_master (
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id BIGINT NOT NULL,
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tenant_id BIGINT,
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site_id BIGINT,
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tenant_org_id BIGINT,
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system_user_id BIGINT,
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staff_name TEXT,
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alias_name TEXT,
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mobile TEXT,
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avatar TEXT,
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gender INTEGER,
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job TEXT,
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job_num TEXT,
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staff_identity INTEGER,
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status INTEGER,
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account_status INTEGER,
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system_role_id INTEGER,
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rank_id INTEGER,
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rank_name TEXT,
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new_rank_id INTEGER,
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new_staff_identity INTEGER,
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leave_status INTEGER,
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entry_time TIMESTAMP WITHOUT TIME ZONE,
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resign_time TIMESTAMP WITHOUT TIME ZONE,
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create_time TIMESTAMP WITHOUT TIME ZONE,
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is_delete INTEGER,
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is_reserve INTEGER,
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shop_name TEXT,
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site_label TEXT,
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cashier_point_id BIGINT,
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cashier_point_name TEXT,
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group_id BIGINT,
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group_name TEXT,
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staff_profile_id BIGINT,
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auth_code TEXT,
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auth_code_create TIMESTAMP WITHOUT TIME ZONE,
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ding_talk_synced INTEGER,
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salary_grant_enabled INTEGER,
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entry_type INTEGER,
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entry_sign_status INTEGER,
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resign_sign_status INTEGER,
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criticism_status INTEGER,
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user_roles JSONB,
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-- ETL 元数据
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content_hash TEXT NOT NULL,
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source_file TEXT,
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fetched_at TIMESTAMP WITH TIME ZONE DEFAULT now(),
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payload JSONB NOT NULL
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);
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COMMENT ON TABLE ods.staff_info_master IS '员工档案主数据（来源：SearchSystemStaffInfo API）';
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-- ---------------------------------------------------------------------------
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-- 2. DWD 层：dwd.dim_staff（主表，核心业务字段，SCD2）
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-- ---------------------------------------------------------------------------
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CREATE TABLE dwd.dim_staff (
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staff_id BIGINT NOT NULL,
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staff_name TEXT,
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alias_name TEXT,
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mobile TEXT,
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||||
gender INTEGER,
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job TEXT,
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||||
tenant_id BIGINT,
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site_id BIGINT,
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system_role_id INTEGER,
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staff_identity INTEGER,
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status INTEGER,
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||||
leave_status INTEGER,
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entry_time TIMESTAMP WITH TIME ZONE,
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resign_time TIMESTAMP WITH TIME ZONE,
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is_delete INTEGER,
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||||
-- SCD2
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||||
scd2_start_time TIMESTAMP WITH TIME ZONE NOT NULL,
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||||
scd2_end_time TIMESTAMP WITH TIME ZONE,
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||||
scd2_is_current INTEGER,
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||||
scd2_version INTEGER,
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||||
PRIMARY KEY (staff_id, scd2_start_time)
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||||
);
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||||
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||||
COMMENT ON TABLE dwd.dim_staff IS '员工档案维度主表（SCD2）';
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||||
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||||
-- ---------------------------------------------------------------------------
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||||
-- 3. DWD 层：dwd.dim_staff_ex（扩展表，次要/低频变更字段，SCD2）
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||||
-- ---------------------------------------------------------------------------
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||||
CREATE TABLE dwd.dim_staff_ex (
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staff_id BIGINT NOT NULL,
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||||
avatar TEXT,
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||||
job_num TEXT,
|
||||
account_status INTEGER,
|
||||
rank_id INTEGER,
|
||||
rank_name TEXT,
|
||||
new_rank_id INTEGER,
|
||||
new_staff_identity INTEGER,
|
||||
is_reserve INTEGER,
|
||||
shop_name TEXT,
|
||||
site_label TEXT,
|
||||
tenant_org_id BIGINT,
|
||||
system_user_id BIGINT,
|
||||
cashier_point_id BIGINT,
|
||||
cashier_point_name TEXT,
|
||||
group_id BIGINT,
|
||||
group_name TEXT,
|
||||
staff_profile_id BIGINT,
|
||||
auth_code TEXT,
|
||||
auth_code_create TIMESTAMP WITH TIME ZONE,
|
||||
ding_talk_synced INTEGER,
|
||||
salary_grant_enabled INTEGER,
|
||||
entry_type INTEGER,
|
||||
entry_sign_status INTEGER,
|
||||
resign_sign_status INTEGER,
|
||||
criticism_status INTEGER,
|
||||
create_time TIMESTAMP WITH TIME ZONE,
|
||||
user_roles JSONB,
|
||||
-- SCD2
|
||||
scd2_start_time TIMESTAMP WITH TIME ZONE NOT NULL,
|
||||
scd2_end_time TIMESTAMP WITH TIME ZONE,
|
||||
scd2_is_current INTEGER,
|
||||
scd2_version INTEGER,
|
||||
PRIMARY KEY (staff_id, scd2_start_time)
|
||||
);
|
||||
|
||||
COMMENT ON TABLE dwd.dim_staff_ex IS '员工档案维度扩展表（SCD2）';
|
||||
|
||||
-- =============================================================================
|
||||
-- 回滚脚本（如需撤销）
|
||||
-- DROP TABLE IF EXISTS dwd.dim_staff_ex;
|
||||
-- DROP TABLE IF EXISTS dwd.dim_staff;
|
||||
-- DROP TABLE IF EXISTS ods.staff_info_master;
|
||||
-- =============================================================================
|
||||
@@ -1,70 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- 迁移脚本：创建 dws.dws_member_spending_power_index 表
|
||||
-- 日期：2026-02-23
|
||||
-- 说明：SPI（消费力指数）结果表，存储会员级消费力评分及中间特征
|
||||
-- 需求：1.1, 1.2, 1.3, 1.4, 1.5
|
||||
-- =============================================================================
|
||||
|
||||
-- 序列（BIGSERIAL 自动创建，此处显式声明以保持与项目风格一致）
|
||||
CREATE SEQUENCE IF NOT EXISTS dws.dws_member_spending_power_index_spi_id_seq AS bigint;
|
||||
|
||||
-- 主表
|
||||
CREATE TABLE dws.dws_member_spending_power_index (
|
||||
spi_id BIGINT DEFAULT nextval('dws.dws_member_spending_power_index_spi_id_seq'::regclass) NOT NULL,
|
||||
site_id INTEGER NOT NULL,
|
||||
member_id BIGINT NOT NULL,
|
||||
|
||||
-- 基础特征
|
||||
spend_30 NUMERIC(14,2) DEFAULT 0, -- 近30天消费总额
|
||||
spend_90 NUMERIC(14,2) DEFAULT 0, -- 近90天消费总额
|
||||
recharge_90 NUMERIC(14,2) DEFAULT 0, -- 近90天充值总额
|
||||
orders_30 INTEGER DEFAULT 0, -- 近30天消费笔数
|
||||
orders_90 INTEGER DEFAULT 0, -- 近90天消费笔数
|
||||
visit_days_30 INTEGER DEFAULT 0, -- 近30天消费日数（按天去重）
|
||||
visit_days_90 INTEGER DEFAULT 0, -- 近90天消费日数（按天去重）
|
||||
avg_ticket_90 NUMERIC(14,2) DEFAULT 0, -- 90天客单价
|
||||
active_weeks_90 INTEGER DEFAULT 0, -- 近90天有消费的自然周数（最多13）
|
||||
daily_spend_ewma_90 NUMERIC(14,2) DEFAULT 0, -- 日消费 EWMA
|
||||
|
||||
-- 子分（Raw：算法直接计算的未归一化分数）
|
||||
score_level_raw NUMERIC(10,4) DEFAULT 0, -- Level 子分原始分
|
||||
score_speed_raw NUMERIC(10,4) DEFAULT 0, -- Speed 子分原始分
|
||||
score_stability_raw NUMERIC(10,4) DEFAULT 0, -- Stability 子分原始分
|
||||
|
||||
-- 子分（Display：归一化到 0-10 的展示分）
|
||||
score_level_display NUMERIC(5,2) DEFAULT 0,
|
||||
score_speed_display NUMERIC(5,2) DEFAULT 0,
|
||||
score_stability_display NUMERIC(5,2) DEFAULT 0,
|
||||
|
||||
-- 总分
|
||||
raw_score NUMERIC(10,4) DEFAULT 0, -- SPI 原始分（加权合成）
|
||||
display_score NUMERIC(5,2) DEFAULT 0, -- SPI 展示分（0-10）
|
||||
|
||||
-- 元数据
|
||||
calc_time TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
|
||||
-- 主键
|
||||
CONSTRAINT dws_member_spending_power_index_pkey PRIMARY KEY (spi_id)
|
||||
);
|
||||
|
||||
-- 唯一约束（业务主键：一个门店一个会员只有一条记录）
|
||||
CREATE UNIQUE INDEX idx_spi_site_member
|
||||
ON dws.dws_member_spending_power_index (site_id, member_id);
|
||||
|
||||
-- 查询索引（按门店查询展示分排名）
|
||||
CREATE INDEX idx_spi_display_score
|
||||
ON dws.dws_member_spending_power_index (site_id, display_score DESC);
|
||||
|
||||
-- 序列归属
|
||||
ALTER SEQUENCE dws.dws_member_spending_power_index_spi_id_seq
|
||||
OWNED BY dws.dws_member_spending_power_index.spi_id;
|
||||
|
||||
-- =============================================================================
|
||||
-- 回滚脚本（如需撤销）
|
||||
-- DROP INDEX IF EXISTS dws.idx_spi_display_score;
|
||||
-- DROP INDEX IF EXISTS dws.idx_spi_site_member;
|
||||
-- DROP TABLE IF EXISTS dws.dws_member_spending_power_index;
|
||||
-- DROP SEQUENCE IF EXISTS dws.dws_member_spending_power_index_spi_id_seq;
|
||||
-- =============================================================================
|
||||
@@ -1,78 +0,0 @@
|
||||
-- 迁移：新增 goodsStockWarningInfo 嵌套字段到 ODS 和 DWD
|
||||
-- 日期：2026-02-24
|
||||
-- 关联：一致性检查报告发现 API 独有字段 goodsStockWarningInfo 未映射
|
||||
-- 字段来源：API store_goods_master -> goodsStockWarningInfo 嵌套对象
|
||||
-- - sales_day: 销售天数（用于库存预警计算）
|
||||
-- - warning_day_max: 预警天数上限
|
||||
-- - warning_day_min: 预警天数下限
|
||||
-- - site_goods_id / tenant_goods_id: 已有冗余字段，不重复收录
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- =============================================================================
|
||||
-- 1. ODS 层：ods.store_goods_master 新增 3 列
|
||||
-- =============================================================================
|
||||
ALTER TABLE ods.store_goods_master
|
||||
ADD COLUMN IF NOT EXISTS warning_sales_day NUMERIC(18,2),
|
||||
ADD COLUMN IF NOT EXISTS warning_day_max INTEGER,
|
||||
ADD COLUMN IF NOT EXISTS warning_day_min INTEGER;
|
||||
|
||||
COMMENT ON COLUMN ods.store_goods_master.warning_sales_day IS
|
||||
'【说明】库存预警参考的日均销量。 【ODS来源】store_goods_master - goodsStockWarningInfo.sales_day。 【JSON字段】store_goods_master.json - data.orderGoodsList - goodsStockWarningInfo.sales_day。';
|
||||
COMMENT ON COLUMN ods.store_goods_master.warning_day_max IS
|
||||
'【说明】库存预警天数上限。 【ODS来源】store_goods_master - goodsStockWarningInfo.warning_day_max。 【JSON字段】store_goods_master.json - data.orderGoodsList - goodsStockWarningInfo.warning_day_max。';
|
||||
COMMENT ON COLUMN ods.store_goods_master.warning_day_min IS
|
||||
'【说明】库存预警天数下限。 【ODS来源】store_goods_master - goodsStockWarningInfo.warning_day_min。 【JSON字段】store_goods_master.json - data.orderGoodsList - goodsStockWarningInfo.warning_day_min。';
|
||||
|
||||
-- =============================================================================
|
||||
-- 2. DWD 层：dwd.dim_store_goods_ex 新增 3 列
|
||||
-- =============================================================================
|
||||
ALTER TABLE dwd.dim_store_goods_ex
|
||||
ADD COLUMN IF NOT EXISTS warning_sales_day NUMERIC(18,2),
|
||||
ADD COLUMN IF NOT EXISTS warning_day_max INTEGER,
|
||||
ADD COLUMN IF NOT EXISTS warning_day_min INTEGER;
|
||||
|
||||
COMMENT ON COLUMN dwd.dim_store_goods_ex.warning_sales_day IS
|
||||
'【说明】库存预警参考的日均销量。 【ODS来源】store_goods_master - goodsStockWarningInfo.sales_day。 【JSON字段】store_goods_master.json - data.orderGoodsList - goodsStockWarningInfo.sales_day。';
|
||||
COMMENT ON COLUMN dwd.dim_store_goods_ex.warning_day_max IS
|
||||
'【说明】库存预警天数上限。 【ODS来源】store_goods_master - goodsStockWarningInfo.warning_day_max。 【JSON字段】store_goods_master.json - data.orderGoodsList - goodsStockWarningInfo.warning_day_max。';
|
||||
COMMENT ON COLUMN dwd.dim_store_goods_ex.warning_day_min IS
|
||||
'【说明】库存预警天数下限。 【ODS来源】store_goods_master - goodsStockWarningInfo.warning_day_min。 【JSON字段】store_goods_master.json - data.orderGoodsList - goodsStockWarningInfo.warning_day_min。';
|
||||
|
||||
COMMIT;
|
||||
|
||||
-- =============================================================================
|
||||
-- 回滚策略
|
||||
-- =============================================================================
|
||||
-- ALTER TABLE ods.store_goods_master
|
||||
-- DROP COLUMN IF EXISTS warning_sales_day,
|
||||
-- DROP COLUMN IF EXISTS warning_day_max,
|
||||
-- DROP COLUMN IF EXISTS warning_day_min;
|
||||
-- ALTER TABLE dwd.dim_store_goods_ex
|
||||
-- DROP COLUMN IF EXISTS warning_sales_day,
|
||||
-- DROP COLUMN IF EXISTS warning_day_max,
|
||||
-- DROP COLUMN IF EXISTS warning_day_min;
|
||||
|
||||
-- =============================================================================
|
||||
-- 验证 SQL
|
||||
-- =============================================================================
|
||||
-- 1. 确认 ODS 新列存在
|
||||
-- SELECT column_name, data_type FROM information_schema.columns
|
||||
-- WHERE table_schema = 'ods' AND table_name = 'store_goods_master'
|
||||
-- AND column_name IN ('warning_sales_day', 'warning_day_max', 'warning_day_min')
|
||||
-- ORDER BY column_name;
|
||||
-- 预期：3 行
|
||||
|
||||
-- 2. 确认 DWD 新列存在
|
||||
-- SELECT column_name, data_type FROM information_schema.columns
|
||||
-- WHERE table_schema = 'dwd' AND table_name = 'dim_store_goods_ex'
|
||||
-- AND column_name IN ('warning_sales_day', 'warning_day_max', 'warning_day_min')
|
||||
-- ORDER BY column_name;
|
||||
-- 预期：3 行
|
||||
|
||||
-- 3. 确认注释已设置
|
||||
-- SELECT col_description(
|
||||
-- (SELECT oid FROM pg_class WHERE relname = 'store_goods_master' AND relnamespace = (SELECT oid FROM pg_namespace WHERE nspname = 'ods')),
|
||||
-- (SELECT ordinal_position FROM information_schema.columns WHERE table_schema = 'ods' AND table_name = 'store_goods_master' AND column_name = 'warning_sales_day')
|
||||
-- );
|
||||
-- 预期：非空
|
||||
@@ -1,21 +0,0 @@
|
||||
-- 迁移：清理 ODS_ASSISTANT_ABOLISH 残留元数据
|
||||
-- 日期：2026-02-24
|
||||
-- 关联：联调报告发现 meta.etl_task 中仍有 ODS_ASSISTANT_ABOLISH 注册，
|
||||
-- 导致调度器尝试执行已删除的任务并报 ValueError
|
||||
-- 幂等：DELETE WHERE 不存在时无影响
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- 1. 清理 meta.etl_task 中的 ODS_ASSISTANT_ABOLISH 注册
|
||||
DELETE FROM meta.etl_task WHERE task_code = 'ODS_ASSISTANT_ABOLISH';
|
||||
|
||||
-- 2. 清理 meta.etl_task 中的旧式 ASSISTANT_ABOLISH 注册（seed_scheduler_tasks.sql 残留）
|
||||
DELETE FROM meta.etl_task WHERE task_code = 'ASSISTANT_ABOLISH';
|
||||
|
||||
COMMIT;
|
||||
|
||||
-- =============================================================================
|
||||
-- 验证 SQL
|
||||
-- =============================================================================
|
||||
-- SELECT * FROM meta.etl_task WHERE task_code IN ('ODS_ASSISTANT_ABOLISH', 'ASSISTANT_ABOLISH');
|
||||
-- 预期：0 行
|
||||
@@ -1,196 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- 迁移脚本：创建 app Schema、RLS 视图层与 app_reader 角色
|
||||
-- 日期：2026-02-24
|
||||
-- 目标库：test_etl_feiqiu（通过 PG_DSN 连接）
|
||||
-- 说明：为 DWD/DWS 层共 35 张表创建带 site_id 行级过滤的 RLS 视图，
|
||||
-- 供业务库通过 postgres_fdw 只读访问。
|
||||
-- cfg_* 配置表无 site_id 列，视图直接 SELECT * 不加过滤。
|
||||
-- dim_member / dim_member_card_account 使用 register_site_id 列过滤。
|
||||
-- dim_staff_ex 无 site_id 列，视图直接 SELECT * 不加过滤。
|
||||
-- 需求：2.1, 2.2, 2.3, 2.4, 2.7, 2.8, 4.1, 4.3, 4.4, 4.5, 4.6
|
||||
-- =============================================================================
|
||||
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- 1. 创建 app Schema
|
||||
-- ---------------------------------------------------------------------------
|
||||
CREATE SCHEMA IF NOT EXISTS app;
|
||||
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- 2. 创建 app_reader 只读角色（条件创建）
|
||||
-- ---------------------------------------------------------------------------
|
||||
DO $$ BEGIN
|
||||
IF NOT EXISTS (SELECT FROM pg_roles WHERE rolname = 'app_reader') THEN
|
||||
CREATE ROLE app_reader LOGIN;
|
||||
END IF;
|
||||
END $$;
|
||||
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- 3. DWD 层 RLS 视图（11 张，全部含 site_id 过滤）
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- dim_member 使用 register_site_id 而非 site_id
|
||||
CREATE OR REPLACE VIEW app.v_dim_member AS
|
||||
SELECT * FROM dwd.dim_member
|
||||
WHERE register_site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dim_assistant AS
|
||||
SELECT * FROM dwd.dim_assistant
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
-- dim_member_card_account 使用 register_site_id 而非 site_id
|
||||
CREATE OR REPLACE VIEW app.v_dim_member_card_account AS
|
||||
SELECT * FROM dwd.dim_member_card_account
|
||||
WHERE register_site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dim_table AS
|
||||
SELECT * FROM dwd.dim_table
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dwd_settlement_head AS
|
||||
SELECT * FROM dwd.dwd_settlement_head
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dwd_table_fee_log AS
|
||||
SELECT * FROM dwd.dwd_table_fee_log
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dwd_assistant_service_log AS
|
||||
SELECT * FROM dwd.dwd_assistant_service_log
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dwd_recharge_order AS
|
||||
SELECT * FROM dwd.dwd_recharge_order
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dwd_store_goods_sale AS
|
||||
SELECT * FROM dwd.dwd_store_goods_sale
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dim_staff AS
|
||||
SELECT * FROM dwd.dim_staff
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
-- dim_staff_ex 无 site_id 列，直接 SELECT * 不加过滤
|
||||
CREATE OR REPLACE VIEW app.v_dim_staff_ex AS
|
||||
SELECT * FROM dwd.dim_staff_ex;
|
||||
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- 4. DWS 层 RLS 视图 — 含 site_id 过滤（20 张）
|
||||
-- ---------------------------------------------------------------------------
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_consumption_summary AS
|
||||
SELECT * FROM dws.dws_member_consumption_summary
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_visit_detail AS
|
||||
SELECT * FROM dws.dws_member_visit_detail
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_winback_index AS
|
||||
SELECT * FROM dws.dws_member_winback_index
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_newconv_index AS
|
||||
SELECT * FROM dws.dws_member_newconv_index
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_recall_index AS
|
||||
SELECT * FROM dws.dws_member_recall_index
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_assistant_relation_index AS
|
||||
SELECT * FROM dws.dws_member_assistant_relation_index
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_assistant_intimacy AS
|
||||
SELECT * FROM dws.dws_member_assistant_intimacy
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_daily_detail AS
|
||||
SELECT * FROM dws.dws_assistant_daily_detail
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_monthly_summary AS
|
||||
SELECT * FROM dws.dws_assistant_monthly_summary
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_salary_calc AS
|
||||
SELECT * FROM dws.dws_assistant_salary_calc
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_customer_stats AS
|
||||
SELECT * FROM dws.dws_assistant_customer_stats
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_finance_analysis AS
|
||||
SELECT * FROM dws.dws_assistant_finance_analysis
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_finance_daily_summary AS
|
||||
SELECT * FROM dws.dws_finance_daily_summary
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_finance_income_structure AS
|
||||
SELECT * FROM dws.dws_finance_income_structure
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_finance_recharge_summary AS
|
||||
SELECT * FROM dws.dws_finance_recharge_summary
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_finance_discount_detail AS
|
||||
SELECT * FROM dws.dws_finance_discount_detail
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_finance_expense_summary AS
|
||||
SELECT * FROM dws.dws_finance_expense_summary
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_platform_settlement AS
|
||||
SELECT * FROM dws.dws_platform_settlement
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_recharge_commission AS
|
||||
SELECT * FROM dws.dws_assistant_recharge_commission
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_dws_order_summary AS
|
||||
SELECT * FROM dws.dws_order_summary
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- 5. DWS 层 cfg_* 配置表视图（4 张，无 site_id，直接 SELECT *）
|
||||
-- ---------------------------------------------------------------------------
|
||||
CREATE OR REPLACE VIEW app.v_cfg_performance_tier AS
|
||||
SELECT * FROM dws.cfg_performance_tier;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_cfg_assistant_level_price AS
|
||||
SELECT * FROM dws.cfg_assistant_level_price;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_cfg_bonus_rules AS
|
||||
SELECT * FROM dws.cfg_bonus_rules;
|
||||
|
||||
CREATE OR REPLACE VIEW app.v_cfg_index_parameters AS
|
||||
SELECT * FROM dws.cfg_index_parameters;
|
||||
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- 6. P2 预留（待 P2 完成后取消注释并创建视图）
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- TODO [P2] dws.dws_member_spending_power_index → app.v_dws_member_spending_power_index
|
||||
-- TODO [P2] dws.dws_assistant_order_contribution → app.v_dws_assistant_order_contribution
|
||||
|
||||
-- ---------------------------------------------------------------------------
|
||||
-- 7. 授权：app_reader 对 app Schema 的只读访问
|
||||
-- ---------------------------------------------------------------------------
|
||||
GRANT USAGE ON SCHEMA app TO app_reader;
|
||||
GRANT SELECT ON ALL TABLES IN SCHEMA app TO app_reader;
|
||||
|
||||
-- 未来新建视图自动授权
|
||||
ALTER DEFAULT PRIVILEGES IN SCHEMA app GRANT SELECT ON TABLES TO app_reader;
|
||||
|
||||
-- =============================================================================
|
||||
-- 回滚脚本（按逆序执行）
|
||||
-- =============================================================================
|
||||
-- ALTER DEFAULT PRIVILEGES IN SCHEMA app REVOKE SELECT ON TABLES FROM app_reader;
|
||||
-- REVOKE SELECT ON ALL TABLES IN SCHEMA app FROM app_reader;
|
||||
-- REVOKE USAGE ON SCHEMA app FROM app_reader;
|
||||
-- DROP SCHEMA IF EXISTS app CASCADE;
|
||||
-- DROP ROLE IF EXISTS app_reader;
|
||||
@@ -1,34 +0,0 @@
|
||||
-- 新增 dws.biz_date() 函数：将 timestamptz 按营业日分割点归属到对应日期
|
||||
-- 原因：全系统统计时间口径从自然日切换为营业日（默认 08:00 分割），
|
||||
-- 数据库层需要与 Python 侧 business_date() 等价的 SQL 函数，
|
||||
-- 供物化视图和直接查询使用。
|
||||
-- 影响：物化视图 mv_dws_finance_daily_summary_l1..l4、
|
||||
-- mv_dws_assistant_daily_detail_l1..l4 的时间过滤条件将依赖此函数
|
||||
-- 关联需求：Requirements 9.2, 9.4
|
||||
|
||||
CREATE OR REPLACE FUNCTION dws.biz_date(
|
||||
ts timestamptz,
|
||||
cutoff_hour int DEFAULT 8
|
||||
)
|
||||
RETURNS date
|
||||
LANGUAGE sql
|
||||
IMMUTABLE
|
||||
PARALLEL SAFE
|
||||
AS $$
|
||||
SELECT (ts - make_interval(hours => cutoff_hour))::date;
|
||||
$$;
|
||||
|
||||
COMMENT ON FUNCTION dws.biz_date(timestamptz, int) IS
|
||||
'营业日归属函数：将时间戳减去 cutoff_hour 小时后取日期。'
|
||||
'默认 cutoff_hour=8，即 08:00 前的时间戳归属前一天。'
|
||||
'等价于 Python 侧 neozqyy_shared.datetime_utils.business_date()。';
|
||||
|
||||
-- 验证 SQL：
|
||||
-- SELECT dws.biz_date('2026-01-15 07:59:59+08'::timestamptz); -- 预期：2026-01-14
|
||||
-- SELECT dws.biz_date('2026-01-15 08:00:00+08'::timestamptz); -- 预期：2026-01-15
|
||||
-- SELECT dws.biz_date('2026-01-15 23:59:59+08'::timestamptz); -- 预期：2026-01-15
|
||||
-- SELECT dws.biz_date('2026-02-01 07:00:00+08'::timestamptz, 8); -- 预期：2026-01-31（月末边界）
|
||||
-- SELECT dws.biz_date(NOW()); -- 预期：当前营业日
|
||||
|
||||
-- 回滚：
|
||||
-- DROP FUNCTION IF EXISTS dws.biz_date(timestamptz, int);
|
||||
@@ -1,22 +0,0 @@
|
||||
-- 迁移：dws_assistant_order_contribution.site_id integer → bigint
|
||||
-- 原因：site_id 为飞球雪花 ID，值域超出 int32 上限
|
||||
-- 依赖：app.v_dws_assistant_order_contribution 视图需先 DROP 再重建
|
||||
-- 日期：2026-02-27
|
||||
-- 已通过 scripts/ops/_fix_all_int_site_ids.py 执行
|
||||
|
||||
-- 1. DROP 依赖视图
|
||||
DROP VIEW IF EXISTS app.v_dws_assistant_order_contribution CASCADE;
|
||||
|
||||
-- 2. ALTER 列类型
|
||||
ALTER TABLE dws.dws_assistant_order_contribution
|
||||
ALTER COLUMN site_id TYPE bigint;
|
||||
|
||||
-- 3. 重建视图（定义需与原视图一致）
|
||||
-- CREATE OR REPLACE VIEW app.v_dws_assistant_order_contribution AS
|
||||
-- SELECT * FROM dws.dws_assistant_order_contribution;
|
||||
-- 注意：实际视图定义已由脚本自动获取并重建
|
||||
|
||||
-- 回滚（如需）：
|
||||
-- DROP VIEW IF EXISTS app.v_dws_assistant_order_contribution CASCADE;
|
||||
-- ALTER TABLE dws.dws_assistant_order_contribution ALTER COLUMN site_id TYPE integer;
|
||||
-- 然后重建视图
|
||||
@@ -1,14 +0,0 @@
|
||||
-- 修复 dws_member_spending_power_index.site_id: integer → bigint
|
||||
-- 原因：site_id 值（如 2790685415443269）超出 int32 范围（max 2147483647），
|
||||
-- 导致 INSERT 时 NumericValueOutOfRange 错误
|
||||
-- 影响：DWS_SPENDING_POWER_INDEX 任务
|
||||
-- 已在 test_etl_feiqiu 执行：2026-02-27
|
||||
|
||||
ALTER TABLE dws.dws_member_spending_power_index
|
||||
ALTER COLUMN site_id TYPE bigint;
|
||||
|
||||
-- 回滚（仅在确认无大值数据时）：
|
||||
-- ALTER TABLE dws.dws_member_spending_power_index ALTER COLUMN site_id TYPE integer;
|
||||
|
||||
-- 待处理：dws.dws_assistant_order_contribution.site_id 也是 integer，
|
||||
-- 但有视图 app.v_dws_assistant_order_contribution 依赖，需先 DROP VIEW 再改再重建。
|
||||
@@ -1,138 +0,0 @@
|
||||
-- 重建物化视图：时间过滤条件从自然日切换为营业日
|
||||
-- 原因：全系统统计口径从自然日切换为营业日（默认 08:00 分割），
|
||||
-- 物化视图的 WHERE 条件中 CURRENT_DATE 需替换为 dws.biz_date(NOW())，
|
||||
-- 使视图数据范围与 DWS 任务的营业日口径一致。
|
||||
-- 前置依赖：dws.biz_date() 函数（2026-02-27__add_biz_date_function.sql）
|
||||
-- 影响：8 个物化视图将按营业日口径过滤数据，刷新后生效
|
||||
-- 关联需求：Requirements 9.1, 9.3
|
||||
--
|
||||
-- 变更说明：
|
||||
-- CURRENT_DATE → dws.biz_date(NOW())
|
||||
-- date_trunc('month', CURRENT_DATE::timestamptz) → date_trunc('month', dws.biz_date(NOW())::timestamptz)
|
||||
--
|
||||
-- 注意：物化视图不支持 CREATE OR REPLACE，必须 DROP + CREATE 重建。
|
||||
-- 重建后数据为空（WITH DATA 会立即填充），需执行 REFRESH MATERIALIZED VIEW 或等待定时刷新。
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- ============================================================
|
||||
-- 1. 助教日度明细物化视图（mv_dws_assistant_daily_detail_l1..l4）
|
||||
-- ============================================================
|
||||
|
||||
-- L1：昨日 + 今日（营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l1;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_assistant_daily_detail_l1 AS
|
||||
SELECT * FROM dws.dws_assistant_daily_detail
|
||||
WHERE stat_date >= (dws.biz_date(NOW()) - '1 day'::interval)
|
||||
WITH DATA;
|
||||
|
||||
-- L2：近 30 天（营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l2;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_assistant_daily_detail_l2 AS
|
||||
SELECT * FROM dws.dws_assistant_daily_detail
|
||||
WHERE stat_date >= (dws.biz_date(NOW()) - '30 days'::interval)
|
||||
WITH DATA;
|
||||
|
||||
-- L3：近 90 天（营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l3;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_assistant_daily_detail_l3 AS
|
||||
SELECT * FROM dws.dws_assistant_daily_detail
|
||||
WHERE stat_date >= (dws.biz_date(NOW()) - '90 days'::interval)
|
||||
WITH DATA;
|
||||
|
||||
-- L4：近 6 个月（不含当月，营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l4;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_assistant_daily_detail_l4 AS
|
||||
SELECT * FROM dws.dws_assistant_daily_detail
|
||||
WHERE stat_date >= (date_trunc('month', dws.biz_date(NOW())::timestamp with time zone) - '6 mons'::interval)
|
||||
AND stat_date < date_trunc('month', dws.biz_date(NOW())::timestamp with time zone)
|
||||
WITH DATA;
|
||||
|
||||
-- ============================================================
|
||||
-- 2. 财务日度汇总物化视图（mv_dws_finance_daily_summary_l1..l4）
|
||||
-- ============================================================
|
||||
|
||||
-- L1：昨日 + 今日（营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l1;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_finance_daily_summary_l1 AS
|
||||
SELECT * FROM dws.dws_finance_daily_summary
|
||||
WHERE stat_date >= (dws.biz_date(NOW()) - '1 day'::interval)
|
||||
WITH DATA;
|
||||
|
||||
-- L2：近 30 天（营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l2;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_finance_daily_summary_l2 AS
|
||||
SELECT * FROM dws.dws_finance_daily_summary
|
||||
WHERE stat_date >= (dws.biz_date(NOW()) - '30 days'::interval)
|
||||
WITH DATA;
|
||||
|
||||
-- L3：近 90 天（营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l3;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_finance_daily_summary_l3 AS
|
||||
SELECT * FROM dws.dws_finance_daily_summary
|
||||
WHERE stat_date >= (dws.biz_date(NOW()) - '90 days'::interval)
|
||||
WITH DATA;
|
||||
|
||||
-- L4：近 6 个月（不含当月，营业日口径）
|
||||
DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l4;
|
||||
CREATE MATERIALIZED VIEW dws.mv_dws_finance_daily_summary_l4 AS
|
||||
SELECT * FROM dws.dws_finance_daily_summary
|
||||
WHERE stat_date >= (date_trunc('month', dws.biz_date(NOW())::timestamp with time zone) - '6 mons'::interval)
|
||||
AND stat_date < date_trunc('month', dws.biz_date(NOW())::timestamp with time zone)
|
||||
WITH DATA;
|
||||
|
||||
-- ============================================================
|
||||
-- 3. 重建物化视图索引
|
||||
-- ============================================================
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_assistant_daily_l1
|
||||
ON dws.mv_dws_assistant_daily_detail_l1 USING btree (site_id, stat_date, assistant_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_assistant_daily_l2
|
||||
ON dws.mv_dws_assistant_daily_detail_l2 USING btree (site_id, stat_date, assistant_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_assistant_daily_l3
|
||||
ON dws.mv_dws_assistant_daily_detail_l3 USING btree (site_id, stat_date, assistant_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_assistant_daily_l4
|
||||
ON dws.mv_dws_assistant_daily_detail_l4 USING btree (site_id, stat_date, assistant_id);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_finance_daily_l1
|
||||
ON dws.mv_dws_finance_daily_summary_l1 USING btree (site_id, stat_date);
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_finance_daily_l2
|
||||
ON dws.mv_dws_finance_daily_summary_l2 USING btree (site_id, stat_date);
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_finance_daily_l3
|
||||
ON dws.mv_dws_finance_daily_summary_l3 USING btree (site_id, stat_date);
|
||||
CREATE INDEX IF NOT EXISTS idx_mv_finance_daily_l4
|
||||
ON dws.mv_dws_finance_daily_summary_l4 USING btree (site_id, stat_date);
|
||||
|
||||
COMMIT;
|
||||
|
||||
-- 验证 SQL（迁移后执行）：
|
||||
-- 1. 确认函数存在
|
||||
-- SELECT dws.biz_date(NOW());
|
||||
--
|
||||
-- 2. 确认 8 个物化视图已重建
|
||||
-- SELECT schemaname, matviewname FROM pg_matviews
|
||||
-- WHERE schemaname = 'dws' AND matviewname LIKE 'mv_dws_%'
|
||||
-- ORDER BY matviewname;
|
||||
--
|
||||
-- 3. 确认索引已创建
|
||||
-- SELECT indexname FROM pg_indexes
|
||||
-- WHERE schemaname = 'dws' AND tablename LIKE 'mv_dws_%'
|
||||
-- ORDER BY indexname;
|
||||
--
|
||||
-- 4. 确认视图定义中包含 biz_date
|
||||
-- SELECT matviewname, definition FROM pg_matviews
|
||||
-- WHERE schemaname = 'dws' AND matviewname LIKE 'mv_dws_%'
|
||||
-- AND definition LIKE '%biz_date%';
|
||||
|
||||
-- 回滚（恢复为自然日口径）：
|
||||
-- BEGIN;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l1;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l2;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l3;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_assistant_daily_detail_l4;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l1;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l2;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l3;
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS dws.mv_dws_finance_daily_summary_l4;
|
||||
-- -- 然后用 scripts/migrate/migrate_finalize.py 中的原始定义重建
|
||||
-- COMMIT;
|
||||
@@ -1,63 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- 迁移：dws_assistant_order_contribution.tenant_id INTEGER → BIGINT
|
||||
-- 原因：飞球 tenant_id 值域（如 2790683160709957）远超 int4 上限（~21 亿）
|
||||
-- 依赖：app.v_dws_assistant_order_contribution 视图需先 DROP 再重建
|
||||
-- 日期：2026-03-03
|
||||
-- 目标库：etl_feiqiu / test_etl_feiqiu
|
||||
-- =============================================================================
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- 1. DROP 依赖的 RLS 视图
|
||||
DROP VIEW IF EXISTS app.v_dws_assistant_order_contribution CASCADE;
|
||||
|
||||
-- 2. ALTER 列类型
|
||||
ALTER TABLE dws.dws_assistant_order_contribution
|
||||
ALTER COLUMN tenant_id TYPE bigint;
|
||||
|
||||
-- 3. 重建 RLS 视图
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_order_contribution AS
|
||||
SELECT * FROM dws.dws_assistant_order_contribution
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
GRANT SELECT ON app.v_dws_assistant_order_contribution TO app_reader;
|
||||
|
||||
COMMIT;
|
||||
|
||||
-- =============================================================================
|
||||
-- 回滚脚本
|
||||
-- =============================================================================
|
||||
-- BEGIN;
|
||||
-- DROP VIEW IF EXISTS app.v_dws_assistant_order_contribution CASCADE;
|
||||
-- ALTER TABLE dws.dws_assistant_order_contribution ALTER COLUMN tenant_id TYPE integer;
|
||||
-- CREATE OR REPLACE VIEW app.v_dws_assistant_order_contribution AS
|
||||
-- SELECT * FROM dws.dws_assistant_order_contribution
|
||||
-- WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
-- GRANT SELECT ON app.v_dws_assistant_order_contribution TO app_reader;
|
||||
-- COMMIT;
|
||||
|
||||
-- =============================================================================
|
||||
-- 验证 SQL
|
||||
-- =============================================================================
|
||||
-- 1. 确认列类型已变更
|
||||
-- SELECT column_name, data_type, udt_name
|
||||
-- FROM information_schema.columns
|
||||
-- WHERE table_schema = 'dws'
|
||||
-- AND table_name = 'dws_assistant_order_contribution'
|
||||
-- AND column_name = 'tenant_id';
|
||||
-- 预期：data_type = 'bigint', udt_name = 'int8'
|
||||
|
||||
-- 2. 确认视图已重建
|
||||
-- SELECT table_schema, table_name
|
||||
-- FROM information_schema.views
|
||||
-- WHERE table_schema = 'app'
|
||||
-- AND table_name = 'v_dws_assistant_order_contribution';
|
||||
-- 预期：1 行
|
||||
|
||||
-- 3. 确认视图中 tenant_id 类型正确
|
||||
-- SELECT column_name, data_type
|
||||
-- FROM information_schema.columns
|
||||
-- WHERE table_schema = 'app'
|
||||
-- AND table_name = 'v_dws_assistant_order_contribution'
|
||||
-- AND column_name = 'tenant_id';
|
||||
-- 预期：data_type = 'bigint'
|
||||
@@ -1,27 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- 迁移脚本：dim_groupbuy_package_ex 新增团购详情字段
|
||||
-- 日期：2026-03-05
|
||||
-- 说明：从团购详情接口（QueryPackageCouponInfo）提取的 4 个 JSONB 字段，
|
||||
-- 补充可用台区、助教服务、关联门店等维度信息
|
||||
-- 需求：需求 4 验收标准 1
|
||||
-- =============================================================================
|
||||
|
||||
ALTER TABLE dwd.dim_groupbuy_package_ex
|
||||
ADD COLUMN IF NOT EXISTS table_area_ids JSONB,
|
||||
ADD COLUMN IF NOT EXISTS table_area_names JSONB,
|
||||
ADD COLUMN IF NOT EXISTS assistant_services JSONB,
|
||||
ADD COLUMN IF NOT EXISTS groupon_site_infos JSONB;
|
||||
|
||||
COMMENT ON COLUMN dwd.dim_groupbuy_package_ex.table_area_ids IS '可用台区 ID 列表（来自详情接口 tableAreaId）';
|
||||
COMMENT ON COLUMN dwd.dim_groupbuy_package_ex.table_area_names IS '可用台区名称列表（来自详情接口 tableAreaNameList）';
|
||||
COMMENT ON COLUMN dwd.dim_groupbuy_package_ex.assistant_services IS '助教服务关联（来自详情接口 packageCouponAssistants）';
|
||||
COMMENT ON COLUMN dwd.dim_groupbuy_package_ex.groupon_site_infos IS '关联门店信息（来自详情接口 grouponSiteInfos）';
|
||||
|
||||
-- =============================================================================
|
||||
-- 回滚脚本（如需撤销）
|
||||
-- ALTER TABLE dwd.dim_groupbuy_package_ex
|
||||
-- DROP COLUMN IF EXISTS table_area_ids,
|
||||
-- DROP COLUMN IF EXISTS table_area_names,
|
||||
-- DROP COLUMN IF EXISTS assistant_services,
|
||||
-- DROP COLUMN IF EXISTS groupon_site_infos;
|
||||
-- =============================================================================
|
||||
@@ -1,102 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- 迁移：cfg_area_category 新增字段 + VIP 包厢拆分 + 显示名称更新
|
||||
-- 日期：2026-03-07
|
||||
-- 说明：
|
||||
-- 1. 新增 source_table_name、display_name、short_name 三个字段
|
||||
-- 2. 删除 BILLIARD_VIP 类型，VIP包厢默认归 BILLIARD，V5 单独归 SNOOKER
|
||||
-- 3. 更新四大项目类型的 display_name 和 short_name
|
||||
-- 4. 更新模糊匹配规则（%VIP% 改为 BILLIARD）
|
||||
-- 回滚：见文件末尾 ROLLBACK 部分
|
||||
-- =============================================================================
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- 1. 新增字段
|
||||
ALTER TABLE dws.cfg_area_category
|
||||
ADD COLUMN IF NOT EXISTS source_table_name VARCHAR(100) DEFAULT NULL,
|
||||
ADD COLUMN IF NOT EXISTS display_name VARCHAR(50) DEFAULT NULL,
|
||||
ADD COLUMN IF NOT EXISTS short_name VARCHAR(20) DEFAULT NULL;
|
||||
|
||||
-- 1.1 唯一约束从 (source_area_name) 改为 (source_area_name, source_table_name)
|
||||
-- 支持同一台区下按台桌名称细分映射
|
||||
ALTER TABLE dws.cfg_area_category DROP CONSTRAINT IF EXISTS uk_cfg_area_category;
|
||||
CREATE UNIQUE INDEX uk_cfg_area_category
|
||||
ON dws.cfg_area_category (source_area_name, COALESCE(source_table_name, ''));
|
||||
|
||||
|
||||
-- 2. 为现有记录填充 display_name 和 short_name
|
||||
UPDATE dws.cfg_area_category SET display_name = '🎱 中式/追分', short_name = '🎱'
|
||||
WHERE category_code = 'BILLIARD';
|
||||
UPDATE dws.cfg_area_category SET display_name = '斯诺克', short_name = '斯'
|
||||
WHERE category_code = 'SNOOKER';
|
||||
UPDATE dws.cfg_area_category SET display_name = '🀄 麻将/棋牌', short_name = '🀄'
|
||||
WHERE category_code = 'MAHJONG';
|
||||
UPDATE dws.cfg_area_category SET display_name = '🎤 团建/K歌', short_name = '🎤'
|
||||
WHERE category_code = 'KTV';
|
||||
UPDATE dws.cfg_area_category SET display_name = '补时长', short_name = '补'
|
||||
WHERE category_code = 'SPECIAL';
|
||||
UPDATE dws.cfg_area_category SET display_name = '其他', short_name = '他'
|
||||
WHERE category_code = 'OTHER';
|
||||
|
||||
-- 3. VIP包厢拆分：将原 BILLIARD_VIP 精确匹配改为 BILLIARD
|
||||
UPDATE dws.cfg_area_category
|
||||
SET category_code = 'BILLIARD',
|
||||
category_name = '🎱 中式/追分',
|
||||
display_name = '🎱 中式/追分',
|
||||
short_name = '🎱',
|
||||
description = '台球VIP包厢（V1-V4中八）→ 归入中式/追分',
|
||||
updated_at = NOW()
|
||||
WHERE source_area_name = 'VIP包厢' AND match_type = 'EXACT';
|
||||
|
||||
-- 4. 新增 V5 → SNOOKER 的台桌级映射（优先级高于区域级）
|
||||
INSERT INTO dws.cfg_area_category (
|
||||
source_area_name, source_table_name, category_code, category_name,
|
||||
display_name, short_name,
|
||||
match_type, match_priority, is_active, description
|
||||
) VALUES (
|
||||
'VIP包厢', 'V5', 'SNOOKER', '斯诺克',
|
||||
'斯诺克', '斯',
|
||||
'EXACT', 5, TRUE,
|
||||
'VIP包厢V5台→斯诺克（台桌级精确匹配，优先级高于区域级）'
|
||||
);
|
||||
|
||||
-- 5. 模糊匹配 %VIP% 改为 BILLIARD（原为 BILLIARD_VIP）
|
||||
UPDATE dws.cfg_area_category
|
||||
SET category_code = 'BILLIARD',
|
||||
category_name = '🎱 中式/追分',
|
||||
display_name = '🎱 中式/追分',
|
||||
short_name = '🎱',
|
||||
description = '模糊匹配：包含"VIP"的区域→归入中式/追分',
|
||||
updated_at = NOW()
|
||||
WHERE source_area_name = '%VIP%' AND match_type = 'LIKE';
|
||||
|
||||
-- 6. 更新所有分类的 category_name 为新显示名
|
||||
UPDATE dws.cfg_area_category SET category_name = '🎱 中式/追分', updated_at = NOW()
|
||||
WHERE category_code = 'BILLIARD' AND category_name != '🎱 中式/追分';
|
||||
UPDATE dws.cfg_area_category SET category_name = '斯诺克', updated_at = NOW()
|
||||
WHERE category_code = 'SNOOKER' AND category_name != '斯诺克';
|
||||
UPDATE dws.cfg_area_category SET category_name = '🀄 麻将/棋牌', updated_at = NOW()
|
||||
WHERE category_code = 'MAHJONG' AND category_name != '🀄 麻将/棋牌';
|
||||
UPDATE dws.cfg_area_category SET category_name = '🎤 团建/K歌', updated_at = NOW()
|
||||
WHERE category_code = 'KTV' AND category_name != '🎤 团建/K歌';
|
||||
|
||||
COMMIT;
|
||||
|
||||
-- =============================================================================
|
||||
-- ROLLBACK（如需回滚，手动执行以下语句）
|
||||
-- =============================================================================
|
||||
-- BEGIN;
|
||||
-- DELETE FROM dws.cfg_area_category WHERE source_table_name = 'V5';
|
||||
-- UPDATE dws.cfg_area_category SET category_code = 'BILLIARD_VIP', category_name = '台球VIP',
|
||||
-- description = '台球VIP：VIP包厢（4台）- V1-V4中八, V5斯诺克'
|
||||
-- WHERE source_area_name = 'VIP包厢' AND match_type = 'EXACT';
|
||||
-- UPDATE dws.cfg_area_category SET category_code = 'BILLIARD_VIP', category_name = '台球VIP'
|
||||
-- WHERE source_area_name = '%VIP%' AND match_type = 'LIKE';
|
||||
-- UPDATE dws.cfg_area_category SET category_name = '台球散台' WHERE category_code = 'BILLIARD';
|
||||
-- UPDATE dws.cfg_area_category SET category_name = '斯诺克' WHERE category_code = 'SNOOKER';
|
||||
-- UPDATE dws.cfg_area_category SET category_name = '麻将棋牌' WHERE category_code = 'MAHJONG';
|
||||
-- UPDATE dws.cfg_area_category SET category_name = 'K歌娱乐' WHERE category_code = 'KTV';
|
||||
-- ALTER TABLE dws.cfg_area_category DROP COLUMN IF EXISTS source_table_name;
|
||||
-- ALTER TABLE dws.cfg_area_category DROP COLUMN IF EXISTS display_name;
|
||||
-- ALTER TABLE dws.cfg_area_category DROP COLUMN IF EXISTS short_name;
|
||||
-- COMMIT;
|
||||
@@ -1,95 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- 迁移脚本：创建项目标签表
|
||||
-- 日期：2026-03-07
|
||||
-- 说明：新建 dws_assistant_project_tag 和 dws_member_project_tag 两张表，
|
||||
-- 存储助教和客户按项目类型的时长占比标签
|
||||
-- 依赖：cfg_area_category（2026-03-07 已更新，含 display_name/short_name）
|
||||
-- =============================================================================
|
||||
|
||||
-- 1. 助教项目标签表
|
||||
CREATE TABLE IF NOT EXISTS dws.dws_assistant_project_tag (
|
||||
id BIGSERIAL NOT NULL,
|
||||
site_id BIGINT NOT NULL,
|
||||
tenant_id BIGINT NOT NULL,
|
||||
assistant_id BIGINT NOT NULL,
|
||||
time_window VARCHAR(40) NOT NULL, -- TimeWindow 枚举值
|
||||
category_code VARCHAR(30) NOT NULL, -- BILLIARD/SNOOKER/MAHJONG/KTV
|
||||
category_name VARCHAR(50) NOT NULL, -- 显示名称（如 🎱 中式/追分）
|
||||
short_name VARCHAR(10) NOT NULL, -- 简写（如 🎱）
|
||||
duration_seconds BIGINT NOT NULL DEFAULT 0, -- 该项目总工作时长（秒）
|
||||
total_seconds BIGINT NOT NULL DEFAULT 0, -- 所有四大项目总时长（秒）
|
||||
percentage NUMERIC(5,4) NOT NULL DEFAULT 0, -- 占比（0~1）
|
||||
is_tagged BOOLEAN NOT NULL DEFAULT FALSE, -- 占比≥25% 则为 TRUE
|
||||
computed_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
CONSTRAINT pk_dws_assistant_project_tag PRIMARY KEY (id),
|
||||
CONSTRAINT uk_dws_assistant_project_tag
|
||||
UNIQUE (site_id, assistant_id, time_window, category_code)
|
||||
);
|
||||
|
||||
COMMENT ON TABLE dws.dws_assistant_project_tag IS '助教项目标签：按时间窗口计算各项目时长占比，≥25%分配标签';
|
||||
COMMENT ON COLUMN dws.dws_assistant_project_tag.time_window IS '时间窗口：THIS_MONTH/THIS_QUARTER/LAST_MONTH/LAST_3_MONTHS_EXCL_CURRENT/LAST_QUARTER/LAST_6_MONTHS';
|
||||
COMMENT ON COLUMN dws.dws_assistant_project_tag.is_tagged IS '占比≥0.25时为TRUE，表示该助教拥有此项目标签';
|
||||
|
||||
-- 2. 客户项目标签表
|
||||
CREATE TABLE IF NOT EXISTS dws.dws_member_project_tag (
|
||||
id BIGSERIAL NOT NULL,
|
||||
site_id BIGINT NOT NULL,
|
||||
tenant_id BIGINT NOT NULL,
|
||||
member_id BIGINT NOT NULL,
|
||||
time_window VARCHAR(40) NOT NULL, -- TimeWindow 枚举值
|
||||
category_code VARCHAR(30) NOT NULL, -- BILLIARD/SNOOKER/MAHJONG/KTV
|
||||
category_name VARCHAR(50) NOT NULL, -- 显示名称
|
||||
short_name VARCHAR(10) NOT NULL, -- 简写
|
||||
duration_seconds BIGINT NOT NULL DEFAULT 0, -- 该项目总计费时长（秒）
|
||||
total_seconds BIGINT NOT NULL DEFAULT 0, -- 所有四大项目总时长（秒）
|
||||
percentage NUMERIC(5,4) NOT NULL DEFAULT 0, -- 占比（0~1）
|
||||
is_tagged BOOLEAN NOT NULL DEFAULT FALSE,
|
||||
computed_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
CONSTRAINT pk_dws_member_project_tag PRIMARY KEY (id),
|
||||
CONSTRAINT uk_dws_member_project_tag
|
||||
UNIQUE (site_id, member_id, time_window, category_code)
|
||||
);
|
||||
|
||||
COMMENT ON TABLE dws.dws_member_project_tag IS '客户项目标签：按时间窗口计算各项目消费时长占比，≥25%分配标签';
|
||||
COMMENT ON COLUMN dws.dws_member_project_tag.time_window IS '时间窗口：LAST_30_DAYS/LAST_60_DAYS';
|
||||
COMMENT ON COLUMN dws.dws_member_project_tag.is_tagged IS '占比≥0.25时为TRUE，表示该客户拥有此项目标签';
|
||||
|
||||
-- 3. 索引（加速看板查询：按 site_id + time_window 筛选 is_tagged=TRUE 的标签）
|
||||
CREATE INDEX IF NOT EXISTS idx_apt_site_window_tagged
|
||||
ON dws.dws_assistant_project_tag (site_id, time_window)
|
||||
WHERE is_tagged = TRUE;
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_mpt_site_window_tagged
|
||||
ON dws.dws_member_project_tag (site_id, time_window)
|
||||
WHERE is_tagged = TRUE;
|
||||
|
||||
-- =============================================================================
|
||||
-- 验证
|
||||
-- =============================================================================
|
||||
DO $$
|
||||
DECLARE
|
||||
v_apt_exists BOOLEAN;
|
||||
v_mpt_exists BOOLEAN;
|
||||
BEGIN
|
||||
SELECT EXISTS(SELECT 1 FROM information_schema.tables
|
||||
WHERE table_schema = 'dws' AND table_name = 'dws_assistant_project_tag')
|
||||
INTO v_apt_exists;
|
||||
|
||||
SELECT EXISTS(SELECT 1 FROM information_schema.tables
|
||||
WHERE table_schema = 'dws' AND table_name = 'dws_member_project_tag')
|
||||
INTO v_mpt_exists;
|
||||
|
||||
IF NOT v_apt_exists THEN
|
||||
RAISE EXCEPTION 'dws_assistant_project_tag 创建失败';
|
||||
END IF;
|
||||
IF NOT v_mpt_exists THEN
|
||||
RAISE EXCEPTION 'dws_member_project_tag 创建失败';
|
||||
END IF;
|
||||
|
||||
RAISE NOTICE '✅ 两张项目标签表创建成功';
|
||||
END;
|
||||
$$;
|
||||
@@ -1,67 +0,0 @@
|
||||
-- 迁移：统一 DWS 层储值卡/充值卡支付字段命名
|
||||
-- 日期：2026-03-07
|
||||
-- 关联：账务构成排查发现 cash_card_pay/cash_card_consume 语义歧义
|
||||
-- cash_card_pay 取 balance_amount（含赠送卡），cash_card_consume 取 recharge_card_amount（仅现金卡）
|
||||
-- 幂等：RENAME + ADD 均为幂等操作（已存在则跳过）
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- =============================================================================
|
||||
-- 1. dws_member_visit_detail：cash_card_pay → balance_pay + 新增 recharge_card_pay
|
||||
-- =============================================================================
|
||||
|
||||
-- 1a. 重命名 cash_card_pay → balance_pay（储值卡总额 = recharge + gift）
|
||||
ALTER TABLE dws.dws_member_visit_detail
|
||||
RENAME COLUMN cash_card_pay TO balance_pay;
|
||||
|
||||
-- 1b. 新增 recharge_card_pay（现金充值卡支付，balance_pay 的子项）
|
||||
ALTER TABLE dws.dws_member_visit_detail
|
||||
ADD COLUMN IF NOT EXISTS recharge_card_pay NUMERIC(12,2) NOT NULL DEFAULT 0;
|
||||
|
||||
-- 1c. 回填 recharge_card_pay = balance_pay - gift_card_pay
|
||||
UPDATE dws.dws_member_visit_detail
|
||||
SET recharge_card_pay = balance_pay - gift_card_pay
|
||||
WHERE recharge_card_pay = 0 AND balance_pay > 0;
|
||||
|
||||
-- =============================================================================
|
||||
-- 2. dws_finance_daily_summary：cash_card_consume → recharge_card_consume
|
||||
-- =============================================================================
|
||||
|
||||
ALTER TABLE dws.dws_finance_daily_summary
|
||||
RENAME COLUMN cash_card_consume TO recharge_card_consume;
|
||||
|
||||
COMMIT;
|
||||
|
||||
-- =============================================================================
|
||||
-- 验证 SQL
|
||||
-- =============================================================================
|
||||
-- 1. 确认 dws_member_visit_detail 字段存在
|
||||
-- SELECT column_name FROM information_schema.columns
|
||||
-- WHERE table_schema = 'dws' AND table_name = 'dws_member_visit_detail'
|
||||
-- AND column_name IN ('balance_pay', 'recharge_card_pay', 'gift_card_pay')
|
||||
-- ORDER BY column_name;
|
||||
-- 预期：3 行（balance_pay, gift_card_pay, recharge_card_pay）
|
||||
|
||||
-- 2. 确认 cash_card_pay 已不存在
|
||||
-- SELECT column_name FROM information_schema.columns
|
||||
-- WHERE table_schema = 'dws' AND table_name = 'dws_member_visit_detail'
|
||||
-- AND column_name = 'cash_card_pay';
|
||||
-- 预期：0 行
|
||||
|
||||
-- 3. 确认 dws_finance_daily_summary 字段重命名
|
||||
-- SELECT column_name FROM information_schema.columns
|
||||
-- WHERE table_schema = 'dws' AND table_name = 'dws_finance_daily_summary'
|
||||
-- AND column_name IN ('recharge_card_consume', 'gift_card_consume', 'card_consume_total');
|
||||
-- 预期：3 行
|
||||
|
||||
-- 4. 确认 cash_card_consume 已不存在
|
||||
-- SELECT column_name FROM information_schema.columns
|
||||
-- WHERE table_schema = 'dws' AND table_name = 'dws_finance_daily_summary'
|
||||
-- AND column_name = 'cash_card_consume';
|
||||
-- 预期：0 行
|
||||
|
||||
-- 5. 验证 recharge_card_pay 回填正确（balance_pay = recharge_card_pay + gift_card_pay）
|
||||
-- SELECT COUNT(*) AS mismatch_count
|
||||
-- FROM dws.dws_member_visit_detail
|
||||
-- WHERE ABS(balance_pay - recharge_card_pay - gift_card_pay) > 0.01;
|
||||
-- 预期：0
|
||||
@@ -1,58 +0,0 @@
|
||||
-- 迁移：DWS 层 ratio/margin/multiplier 字段精度扩展
|
||||
-- 原因：numeric(5,4) 只能存 ±0.9999，当比率 ≥ 1 或 < -1 时溢出（P1 已爆 gross_margin）
|
||||
-- 日期：2026-03-01
|
||||
-- 注意：需先 DROP 依赖视图，ALTER 后重建
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- 1. DROP 依赖视图（app schema 的 RLS 视图）
|
||||
DROP VIEW IF EXISTS app.v_cfg_performance_tier CASCADE;
|
||||
DROP VIEW IF EXISTS app.v_dws_assistant_finance_analysis CASCADE;
|
||||
DROP VIEW IF EXISTS app.v_dws_assistant_recharge_commission CASCADE;
|
||||
DROP VIEW IF EXISTS app.v_dws_assistant_salary_calc CASCADE;
|
||||
DROP VIEW IF EXISTS app.v_dws_finance_discount_detail CASCADE;
|
||||
DROP VIEW IF EXISTS app.v_dws_finance_income_structure CASCADE;
|
||||
DROP VIEW IF EXISTS app.v_dws_member_assistant_intimacy CASCADE;
|
||||
|
||||
-- 2. ALTER 列类型：numeric(5,4)/numeric(6,4) → numeric(7,4)
|
||||
ALTER TABLE dws.cfg_performance_tier
|
||||
ALTER COLUMN bonus_deduction_ratio TYPE numeric(7,4);
|
||||
ALTER TABLE dws.dws_assistant_finance_analysis
|
||||
ALTER COLUMN gross_margin TYPE numeric(7,4);
|
||||
ALTER TABLE dws.dws_assistant_recharge_commission
|
||||
ALTER COLUMN commission_ratio TYPE numeric(7,4);
|
||||
ALTER TABLE dws.dws_assistant_salary_calc
|
||||
ALTER COLUMN bonus_deduction_ratio TYPE numeric(7,4);
|
||||
ALTER TABLE dws.dws_finance_discount_detail
|
||||
ALTER COLUMN discount_ratio TYPE numeric(7,4);
|
||||
ALTER TABLE dws.dws_finance_income_structure
|
||||
ALTER COLUMN income_ratio TYPE numeric(7,4);
|
||||
ALTER TABLE dws.dws_member_assistant_intimacy
|
||||
ALTER COLUMN burst_multiplier TYPE numeric(7,4);
|
||||
|
||||
-- 3. 重建视图（使用 pg_get_viewdef 保存的原始定义）
|
||||
-- 注意：实际执行时应从 _p1_migrate_with_views.py 自动保存/重建
|
||||
-- 以下为手动重建模板，视图定义为 SELECT * FROM dws.xxx WHERE site_id = ...
|
||||
CREATE OR REPLACE VIEW app.v_cfg_performance_tier AS
|
||||
SELECT * FROM dws.cfg_performance_tier
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_finance_analysis AS
|
||||
SELECT * FROM dws.dws_assistant_finance_analysis
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_recharge_commission AS
|
||||
SELECT * FROM dws.dws_assistant_recharge_commission
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
CREATE OR REPLACE VIEW app.v_dws_assistant_salary_calc AS
|
||||
SELECT * FROM dws.dws_assistant_salary_calc
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
CREATE OR REPLACE VIEW app.v_dws_finance_discount_detail AS
|
||||
SELECT * FROM dws.dws_finance_discount_detail
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
CREATE OR REPLACE VIEW app.v_dws_finance_income_structure AS
|
||||
SELECT * FROM dws.dws_finance_income_structure
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
CREATE OR REPLACE VIEW app.v_dws_member_assistant_intimacy AS
|
||||
SELECT * FROM dws.dws_member_assistant_intimacy
|
||||
WHERE site_id = current_setting('app.current_site_id')::bigint;
|
||||
|
||||
COMMIT;
|
||||
@@ -1,28 +0,0 @@
|
||||
-- 回滚：DWS 层 ratio/margin/multiplier 字段精度还原
|
||||
-- 注意：如果已有数据超出原精度范围，回滚会失败，需先清理数据
|
||||
-- 日期：2026-03-01
|
||||
|
||||
BEGIN;
|
||||
|
||||
ALTER TABLE dws.cfg_performance_tier
|
||||
ALTER COLUMN bonus_deduction_ratio TYPE numeric(5,4);
|
||||
|
||||
ALTER TABLE dws.dws_assistant_finance_analysis
|
||||
ALTER COLUMN gross_margin TYPE numeric(5,4);
|
||||
|
||||
ALTER TABLE dws.dws_assistant_recharge_commission
|
||||
ALTER COLUMN commission_ratio TYPE numeric(5,4);
|
||||
|
||||
ALTER TABLE dws.dws_assistant_salary_calc
|
||||
ALTER COLUMN bonus_deduction_ratio TYPE numeric(5,4);
|
||||
|
||||
ALTER TABLE dws.dws_finance_discount_detail
|
||||
ALTER COLUMN discount_ratio TYPE numeric(5,4);
|
||||
|
||||
ALTER TABLE dws.dws_finance_income_structure
|
||||
ALTER COLUMN income_ratio TYPE numeric(5,4);
|
||||
|
||||
ALTER TABLE dws.dws_member_spending_power_index
|
||||
ALTER COLUMN burst_multiplier TYPE numeric(6,4);
|
||||
|
||||
COMMIT;
|
||||
@@ -1,22 +0,0 @@
|
||||
-- 迁移：ods.goods_stock_summary 加 siteid 列
|
||||
-- 原因：API 返回记录不含 siteId，但 DWD 层需要 site_id 做门店隔离
|
||||
-- ODS 入库时从 app.store_id 注入
|
||||
-- 日期：2026-03-01
|
||||
|
||||
BEGIN;
|
||||
|
||||
ALTER TABLE ods.goods_stock_summary
|
||||
ADD COLUMN IF NOT EXISTS siteid bigint;
|
||||
|
||||
-- 回填已有数据（单门店部署，所有记录属于同一 store_id）
|
||||
-- 实际 store_id 值需从 .env 的 STORE_ID 获取，此处用子查询从 goods_stock_movements 推断
|
||||
UPDATE ods.goods_stock_summary s
|
||||
SET siteid = (
|
||||
SELECT DISTINCT m.siteid
|
||||
FROM ods.goods_stock_movements m
|
||||
WHERE m.siteid IS NOT NULL
|
||||
LIMIT 1
|
||||
)
|
||||
WHERE s.siteid IS NULL;
|
||||
|
||||
COMMIT;
|
||||
@@ -1,334 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- DWS 配置表初始数据
|
||||
-- 版本: v4.0
|
||||
-- 创建日期: 2026-02-01
|
||||
-- 更新日期: 2026-02-21
|
||||
-- AI_CHANGELOG [2026-02-21] 取消全文注释，数据已写入 test_etl_feiqiu；
|
||||
-- 新增 2025-01-01~2026-02-28 统一提成档位（基础课18元/小时，打赏课40%）；
|
||||
-- 新增 GUARANTEE 保底奖金规则（按等级：初级12000/中级16000/高级18000/星级23000）；
|
||||
-- 历史分档口径截止日期调整为 2024-12-31
|
||||
-- 描述: 初始化配置表数据，包含绩效档位、等级定价、奖金规则、区域分类、技能映射
|
||||
-- =============================================================================
|
||||
|
||||
-- =============================================================================
|
||||
-- 1. cfg_performance_tier - 绩效档位配置（含历史口径）
|
||||
-- 数据来源：DWS 数据库处理需求.md
|
||||
-- 三段时间线：
|
||||
-- 2000-01-01 ~ 2024-12-31: 旧方案（6档阶梯抽成）
|
||||
-- 2025-01-01 ~ 2026-02-28: 统一提成（不分档，基础课18元/小时，打赏课40%）
|
||||
-- 2026-03-01 ~ 9999-12-31: 新方案（5档阶梯抽成）
|
||||
-- =============================================================================
|
||||
TRUNCATE TABLE dws.cfg_performance_tier RESTART IDENTITY CASCADE;
|
||||
|
||||
INSERT INTO dws.cfg_performance_tier (
|
||||
tier_code, tier_name, tier_level,
|
||||
min_hours, max_hours,
|
||||
base_deduction, bonus_deduction_ratio, vacation_days, vacation_unlimited,
|
||||
is_new_hire_tier, effective_from, effective_to, description
|
||||
) VALUES
|
||||
-- 旧方案（至2024-12-31）
|
||||
('T0', '0档-淘汰压力', 0,
|
||||
0, 100,
|
||||
28.00, 0.50, 3, FALSE,
|
||||
FALSE, '2000-01-01', '2024-12-31',
|
||||
'旧方案：H<100，专业课抽成28元/小时，打赏课抽成50%，休假3天'),
|
||||
('T1', '1档-及格档', 1,
|
||||
100, 130,
|
||||
18.00, 0.40, 4, FALSE,
|
||||
FALSE, '2000-01-01', '2024-12-31',
|
||||
'旧方案：100≤H<130，专业课抽成18元/小时，打赏课抽成40%，休假4天'),
|
||||
('T2', '2档-良好档', 2,
|
||||
130, 160,
|
||||
15.00, 0.38, 4, FALSE,
|
||||
FALSE, '2000-01-01', '2024-12-31',
|
||||
'旧方案：130≤H<160，专业课抽成15元/小时，打赏课抽成38%，休假4天'),
|
||||
('T3', '3档-优秀档', 3,
|
||||
160, 190,
|
||||
13.00, 0.35, 5, FALSE,
|
||||
FALSE, '2000-01-01', '2024-12-31',
|
||||
'旧方案：160≤H<190，专业课抽成13元/小时，打赏课抽成35%，休假5天'),
|
||||
('T4', '4档-卓越加速档', 4,
|
||||
190, 220,
|
||||
10.00, 0.33, 6, FALSE,
|
||||
FALSE, '2000-01-01', '2024-12-31',
|
||||
'旧方案：190≤H<220，专业课抽成10元/小时，打赏课抽成33%，休假6天'),
|
||||
('T5', '5档-冠军加速档', 5,
|
||||
220, NULL,
|
||||
8.00, 0.30, 0, TRUE,
|
||||
FALSE, '2000-01-01', '2024-12-31',
|
||||
'旧方案：H≥220，专业课抽成8元/小时，打赏课抽成30%，休假自由'),
|
||||
|
||||
-- 2025-01-01 ~ 2026-02-28: 统一提成（不分档，所有助教统一规则）
|
||||
-- CHANGE 2026-02-21 | 新增统一提成档位，基础课球房提成18元/小时，打赏课球房提成40%
|
||||
('T0', '统一档', 0,
|
||||
0, NULL,
|
||||
18.00, 0.40, 0, FALSE,
|
||||
FALSE, '2025-01-01', '2026-02-28',
|
||||
'2025-01-01~2026-02-28统一规则：基础课球房提成18元/小时，打赏课球房提成40%，不分档位'),
|
||||
|
||||
-- 新方案（2026-03-01起）
|
||||
('T0', '0档-淘汰压力', 0,
|
||||
0, 120,
|
||||
28.00, 0.50, 3, FALSE,
|
||||
FALSE, '2026-03-01', '9999-12-31',
|
||||
'新方案：H<120，专业课抽成28元/小时，打赏课抽成50%，休假3天'),
|
||||
('T1', '1档-及格档', 1,
|
||||
120, 150,
|
||||
18.00, 0.40, 4, FALSE,
|
||||
FALSE, '2026-03-01', '9999-12-31',
|
||||
'新方案：120≤H<150，专业课抽成18元/小时，打赏课抽成40%，休假4天'),
|
||||
('T2', '2档-良好档', 2,
|
||||
150, 180,
|
||||
13.00, 0.35, 5, FALSE,
|
||||
FALSE, '2026-03-01', '9999-12-31',
|
||||
'新方案：150≤H<180，专业课抽成13元/小时，打赏课抽成35%，休假5天'),
|
||||
('T3', '3档-优秀档', 3,
|
||||
180, 210,
|
||||
10.00, 0.30, 6, FALSE,
|
||||
FALSE, '2026-03-01', '9999-12-31',
|
||||
'新方案：180≤H<210，专业课抽成10元/小时，打赏课抽成30%，休假6天'),
|
||||
('T4', '4档-销冠竞争', 4,
|
||||
210, NULL,
|
||||
8.00, 0.25, 0, TRUE,
|
||||
FALSE, '2026-03-01', '9999-12-31',
|
||||
'新方案：H≥210，专业课抽成8元/小时，打赏课抽成25%，休假自由');
|
||||
|
||||
|
||||
-- =============================================================================
|
||||
-- 2. cfg_assistant_level_price - 助教等级定价
|
||||
-- 说明:
|
||||
-- - level_code 来自 dim_assistant.assistant_level
|
||||
-- - 8=助教管理, 10=初级, 20=中级, 30=高级, 40=星级
|
||||
-- - 价格为客户支付价格（对外价格），助教收入=客户支付-档位抽成
|
||||
-- - 包厢课基础课统一138元/小时（不随等级变化）
|
||||
-- =============================================================================
|
||||
TRUNCATE TABLE dws.cfg_assistant_level_price RESTART IDENTITY CASCADE;
|
||||
|
||||
INSERT INTO dws.cfg_assistant_level_price (
|
||||
level_code, level_name,
|
||||
base_course_price, bonus_course_price,
|
||||
effective_from, effective_to, description
|
||||
) VALUES
|
||||
(10, '初级',
|
||||
98.00, 190.00,
|
||||
'2000-01-01', '9999-12-31',
|
||||
'初级助教：基础课98元/时，附加课190元/时（客户支付价格）'),
|
||||
(20, '中级',
|
||||
108.00, 190.00,
|
||||
'2000-01-01', '9999-12-31',
|
||||
'中级助教：基础课108元/时，附加课190元/时（客户支付价格）'),
|
||||
(30, '高级',
|
||||
118.00, 190.00,
|
||||
'2000-01-01', '9999-12-31',
|
||||
'高级助教：基础课118元/时，附加课190元/时（客户支付价格）'),
|
||||
(40, '星级',
|
||||
138.00, 190.00,
|
||||
'2000-01-01', '9999-12-31',
|
||||
'星级助教：基础课138元/时，附加课190元/时（客户支付价格）'),
|
||||
(8, '助教管理',
|
||||
98.00, 190.00,
|
||||
'2000-01-01', '9999-12-31',
|
||||
'助教管理：不参与客户服务计费，默认按初级价格');
|
||||
|
||||
|
||||
-- =============================================================================
|
||||
-- 3. cfg_bonus_rules - 奖金规则配置
|
||||
-- 说明:
|
||||
-- - SPRINT: 冲刺奖金（历史口径，至2024-12-31）
|
||||
-- - GUARANTEE: 保底月薪线（2025-01-01~2026-02-28，按等级区分）
|
||||
-- * 保底规则：总课时达标 + 打赏课≥10小时 → 触发保底月薪线
|
||||
-- * 保底含义：实发 = MAX(课时收入+奖金, 保底金额)，非额外奖金
|
||||
-- * rule_code 中 LV10/LV20/LV30/LV40 对应 level_code
|
||||
-- - TOP_RANK: Top3排名奖金（2026-03-01起）
|
||||
-- CHANGE 2026-02-21 | 新增 GUARANTEE 保底奖金规则
|
||||
-- =============================================================================
|
||||
TRUNCATE TABLE dws.cfg_bonus_rules RESTART IDENTITY CASCADE;
|
||||
|
||||
INSERT INTO dws.cfg_bonus_rules (
|
||||
rule_type, rule_code, rule_name,
|
||||
threshold_hours, rank_position, bonus_amount,
|
||||
is_cumulative, priority,
|
||||
effective_from, effective_to, description
|
||||
) VALUES
|
||||
-- 冲刺奖金（历史口径，至2024-12-31）
|
||||
('SPRINT', 'SPRINT_190', '冲刺奖金190',
|
||||
190.00, NULL, 300.00,
|
||||
FALSE, 1,
|
||||
'2000-01-01', '2024-12-31',
|
||||
'历史口径：业绩≥190小时，获得300元冲刺奖金（不累计）'),
|
||||
('SPRINT', 'SPRINT_220', '冲刺奖金220',
|
||||
220.00, NULL, 800.00,
|
||||
FALSE, 2,
|
||||
'2000-01-01', '2024-12-31',
|
||||
'历史口径：业绩≥220小时，获得800元冲刺奖金（覆盖190档）'),
|
||||
|
||||
-- 保底奖金（2025-01-01 ~ 2026-02-28）
|
||||
-- 按助教等级区分，需同时满足总课时和打赏课最低时数（≥10小时）
|
||||
('GUARANTEE', 'GUAR_LV10', '初级保底奖金',
|
||||
130.00, NULL, 12000.00,
|
||||
FALSE, 10,
|
||||
'2025-01-01', '2026-02-28',
|
||||
'初级保底：完成130小时课程（含≥10小时打赏课），保底月薪线12000元（实发=MAX(课时收入+奖金, 12000)）'),
|
||||
('GUARANTEE', 'GUAR_LV20', '中级保底奖金',
|
||||
150.00, NULL, 16000.00,
|
||||
FALSE, 20,
|
||||
'2025-01-01', '2026-02-28',
|
||||
'中级保底：完成150小时课程（含≥10小时打赏课），保底月薪线16000元（实发=MAX(课时收入+奖金, 16000)）'),
|
||||
('GUARANTEE', 'GUAR_LV30', '高级保底奖金',
|
||||
160.00, NULL, 18000.00,
|
||||
FALSE, 30,
|
||||
'2025-01-01', '2026-02-28',
|
||||
'高级保底：完成160小时课程（含≥10小时打赏课），保底月薪线18000元（实发=MAX(课时收入+奖金, 18000)）'),
|
||||
('GUARANTEE', 'GUAR_LV40', '星级保底奖金',
|
||||
170.00, NULL, 23000.00,
|
||||
FALSE, 40,
|
||||
'2025-01-01', '2026-02-28',
|
||||
'星级保底：完成170小时课程（含≥10小时打赏课），保底月薪线23000元（实发=MAX(课时收入+奖金, 23000)）'),
|
||||
|
||||
-- Top排名奖金（2026-03-01起）
|
||||
('TOP_RANK', 'TOP_1', 'Top1排名奖金',
|
||||
NULL, 1, 1000.00,
|
||||
FALSE, 0,
|
||||
'2026-03-01', '9999-12-31',
|
||||
'月度排名第一，获得1000元（并列都算）'),
|
||||
('TOP_RANK', 'TOP_2', 'Top2排名奖金',
|
||||
NULL, 2, 600.00,
|
||||
FALSE, 0,
|
||||
'2026-03-01', '9999-12-31',
|
||||
'月度排名第二，获得600元（并列都算）'),
|
||||
('TOP_RANK', 'TOP_3', 'Top3排名奖金',
|
||||
NULL, 3, 400.00,
|
||||
FALSE, 0,
|
||||
'2026-03-01', '9999-12-31',
|
||||
'月度排名第三，获得400元（并列都算）');
|
||||
|
||||
|
||||
-- =============================================================================
|
||||
-- 4. cfg_area_category - 台区分类映射
|
||||
-- 说明:
|
||||
-- - 将 dim_table.site_table_area_name 映射到项目分类
|
||||
-- - 新增 source_table_name 支持台桌级细分（如 VIP包厢 V5 → SNOOKER）
|
||||
-- - 映射规则: 台桌精确 > 区域精确 > 模糊匹配 > 默认兜底
|
||||
-- - 数据来源: BD_manual_dim_table.md 中的 site_table_area_name 实际分布
|
||||
-- =============================================================================
|
||||
TRUNCATE TABLE dws.cfg_area_category RESTART IDENTITY CASCADE;
|
||||
|
||||
INSERT INTO dws.cfg_area_category (
|
||||
source_area_name, source_table_name, category_code, category_name,
|
||||
display_name, short_name,
|
||||
match_type, match_priority, is_active, description
|
||||
) VALUES
|
||||
-- VIP包厢台桌级映射（优先级最高）
|
||||
('VIP包厢', 'V5', 'SNOOKER', '斯诺克', '斯诺克', '斯', 'EXACT', 5, TRUE,
|
||||
'VIP包厢V5台→斯诺克（台桌级精确匹配，优先级高于区域级）'),
|
||||
-- 台球散台（精确匹配）
|
||||
('A区', NULL, 'BILLIARD', '🎱 中式/追分', '🎱 中式/追分', '🎱', 'EXACT', 10, TRUE,
|
||||
'台球散台：A区（18台）- 中八/追分'),
|
||||
('B区', NULL, 'BILLIARD', '🎱 中式/追分', '🎱 中式/追分', '🎱', 'EXACT', 10, TRUE,
|
||||
'台球散台：B区（15台）- 中八/追分'),
|
||||
('C区', NULL, 'BILLIARD', '🎱 中式/追分', '🎱 中式/追分', '🎱', 'EXACT', 10, TRUE,
|
||||
'台球散台：C区（6台）- 中八/追分'),
|
||||
('TV台', NULL, 'BILLIARD', '🎱 中式/追分', '🎱 中式/追分', '🎱', 'EXACT', 10, TRUE,
|
||||
'台球散台：TV台（1台）- 中八/追分'),
|
||||
-- VIP包厢区域级（V1-V4 归入中式/追分）
|
||||
('VIP包厢', NULL, 'BILLIARD', '🎱 中式/追分', '🎱 中式/追分', '🎱', 'EXACT', 10, TRUE,
|
||||
'台球VIP包厢（V1-V4中八）→ 归入中式/追分'),
|
||||
-- 斯诺克区
|
||||
('斯诺克区', NULL, 'SNOOKER', '斯诺克', '斯诺克', '斯', 'EXACT', 10, TRUE,
|
||||
'斯诺克：斯诺克区（4台）'),
|
||||
-- 麻将区
|
||||
('麻将房', NULL, 'MAHJONG', '🀄 麻将/棋牌', '🀄 麻将/棋牌', '🀄', 'EXACT', 10, TRUE,
|
||||
'麻将棋牌：麻将房（5台）'),
|
||||
('M7', NULL, 'MAHJONG', '🀄 麻将/棋牌', '🀄 麻将/棋牌', '🀄', 'EXACT', 10, TRUE,
|
||||
'麻将棋牌：M7（2台）'),
|
||||
('M8', NULL, 'MAHJONG', '🀄 麻将/棋牌', '🀄 麻将/棋牌', '🀄', 'EXACT', 10, TRUE,
|
||||
'麻将棋牌：M8（1台）'),
|
||||
('666', NULL, 'MAHJONG', '🀄 麻将/棋牌', '🀄 麻将/棋牌', '🀄', 'EXACT', 10, TRUE,
|
||||
'麻将棋牌：666（2台）'),
|
||||
('发财', NULL, 'MAHJONG', '🀄 麻将/棋牌', '🀄 麻将/棋牌', '🀄', 'EXACT', 10, TRUE,
|
||||
'麻将棋牌：发财（1台）'),
|
||||
-- KTV/K包
|
||||
('K包', NULL, 'KTV', '🎤 团建/K歌', '🎤 团建/K歌', '🎤', 'EXACT', 10, TRUE,
|
||||
'K歌娱乐：K包（4台）'),
|
||||
('k包活动区', NULL, 'KTV', '🎤 团建/K歌', '🎤 团建/K歌', '🎤', 'EXACT', 10, TRUE,
|
||||
'K歌娱乐：k包活动区（2台）'),
|
||||
('幸会158', NULL, 'KTV', '🎤 团建/K歌', '🎤 团建/K歌', '🎤', 'EXACT', 10, TRUE,
|
||||
'K歌娱乐：幸会158（2台）'),
|
||||
-- 特殊区域
|
||||
('补时长', NULL, 'SPECIAL', '补时长', '补时长', '补', 'EXACT', 10, TRUE,
|
||||
'特殊：补时长（7台）- 用于时长补录'),
|
||||
-- 模糊匹配规则
|
||||
('%VIP%', NULL, 'BILLIARD', '🎱 中式/追分', '🎱 中式/追分', '🎱', 'LIKE', 50, TRUE,
|
||||
'模糊匹配：包含"VIP"的区域→归入中式/追分'),
|
||||
('%斯诺克%', NULL, 'SNOOKER', '斯诺克', '斯诺克', '斯', 'LIKE', 50, TRUE,
|
||||
'模糊匹配：包含"斯诺克"的区域'),
|
||||
('%麻将%', NULL, 'MAHJONG', '🀄 麻将/棋牌', '🀄 麻将/棋牌', '🀄', 'LIKE', 50, TRUE,
|
||||
'模糊匹配：包含"麻将"的区域'),
|
||||
('%K包%', NULL, 'KTV', '🎤 团建/K歌', '🎤 团建/K歌', '🎤', 'LIKE', 50, TRUE,
|
||||
'模糊匹配：包含"K包"的区域'),
|
||||
('%KTV%', NULL, 'KTV', '🎤 团建/K歌', '🎤 团建/K歌', '🎤', 'LIKE', 50, TRUE,
|
||||
'模糊匹配：包含"KTV"的区域'),
|
||||
-- 默认兜底
|
||||
('DEFAULT', NULL, 'OTHER', '其他', '其他', '他', 'DEFAULT', 999, TRUE,
|
||||
'兜底规则：无法匹配的区域归入其他');
|
||||
|
||||
|
||||
-- =============================================================================
|
||||
-- 5. cfg_skill_type - 技能→课程类型映射
|
||||
-- 说明:
|
||||
-- - 将 skill_id 映射到课程类型
|
||||
-- - 基础课/陪打: skill_id = 2791903611396869
|
||||
-- - 附加课/超休: skill_id = 2807440316432197
|
||||
-- - 避免依赖 skill_name 文本匹配
|
||||
-- =============================================================================
|
||||
TRUNCATE TABLE dws.cfg_skill_type RESTART IDENTITY CASCADE;
|
||||
|
||||
INSERT INTO dws.cfg_skill_type (
|
||||
skill_id, skill_name,
|
||||
course_type_code, course_type_name,
|
||||
is_active, description
|
||||
) VALUES
|
||||
(2791903611396869, '台球基础陪打',
|
||||
'BASE', '基础课',
|
||||
TRUE, '基础课：陪打服务，按助教等级计价'),
|
||||
(2807440316432197, '台球超休服务',
|
||||
'BONUS', '附加课',
|
||||
TRUE, '附加课：超休/激励课，固定190元/小时'),
|
||||
(2807440316432198, '包厢服务',
|
||||
'BASE', '基础课',
|
||||
TRUE, '包厢服务：归入基础课统计，统一按138元/小时计价');
|
||||
|
||||
|
||||
-- =============================================================================
|
||||
-- 6~8. 优惠类型/支出类型/平台类型 — 作为代码常量使用，不单独建表
|
||||
-- =============================================================================
|
||||
-- 优惠类型: GROUPBUY/VIP/GIFT_CARD/MANUAL/ROUNDING/BIG_CUSTOMER/OTHER
|
||||
-- 支出类型: RENT/UTILITY/PROPERTY/SALARY/REIMBURSE/PLATFORM_FEE/OTHER
|
||||
-- 平台类型: MEITUAN/DOUYIN/DIANPING/OTHER
|
||||
|
||||
|
||||
-- =============================================================================
|
||||
-- 验证数据插入
|
||||
-- =============================================================================
|
||||
DO $$
|
||||
DECLARE
|
||||
v_tier_count INTEGER;
|
||||
v_price_count INTEGER;
|
||||
v_bonus_count INTEGER;
|
||||
v_area_count INTEGER;
|
||||
v_skill_count INTEGER;
|
||||
BEGIN
|
||||
SELECT COUNT(*) INTO v_tier_count FROM dws.cfg_performance_tier;
|
||||
SELECT COUNT(*) INTO v_price_count FROM dws.cfg_assistant_level_price;
|
||||
SELECT COUNT(*) INTO v_bonus_count FROM dws.cfg_bonus_rules;
|
||||
SELECT COUNT(*) INTO v_area_count FROM dws.cfg_area_category;
|
||||
SELECT COUNT(*) INTO v_skill_count FROM dws.cfg_skill_type;
|
||||
|
||||
RAISE NOTICE '配置数据初始化完成:';
|
||||
RAISE NOTICE ' - cfg_performance_tier: % 条', v_tier_count;
|
||||
RAISE NOTICE ' - cfg_assistant_level_price: % 条', v_price_count;
|
||||
RAISE NOTICE ' - cfg_bonus_rules: % 条', v_bonus_count;
|
||||
RAISE NOTICE ' - cfg_area_category: % 条', v_area_count;
|
||||
RAISE NOTICE ' - cfg_skill_type: % 条', v_skill_count;
|
||||
END;
|
||||
$$;
|
||||
@@ -1,244 +0,0 @@
|
||||
-- =============================================================================
|
||||
-- 指数算法参数初始化脚本
|
||||
-- 版本: v3.0
|
||||
-- 创建日期: 2026-02-13
|
||||
-- 描述: 仅保留 RS / OS / MS / ML / NCI / WBI 指数参数（已移除 RECALL / INTIMACY）
|
||||
-- AI_CHANGELOG [2026-02-13] 移除 RECALL/INTIMACY 参数及 ML 废弃参数（source_mode/recharge_attribute_hours）
|
||||
-- =============================================================================
|
||||
|
||||
-- 清理旧版指数参数
|
||||
DELETE FROM dws.cfg_index_parameters WHERE index_type IN ('RECALL', 'INTIMACY');
|
||||
-- 清理 ML 已废弃参数
|
||||
DELETE FROM dws.cfg_index_parameters WHERE index_type = 'ML' AND param_name IN ('source_mode', 'recharge_attribute_hours');
|
||||
|
||||
INSERT INTO dws.cfg_index_parameters
|
||||
(index_type, param_name, param_value, description, effective_from)
|
||||
VALUES
|
||||
('NCI', 'active_new_penalty', 0.200000, 'active-new suppression multiplier', DATE '2026-02-06'),
|
||||
('NCI', 'active_new_recency_days', 7.000000, 'active-new recency window (days)', DATE '2026-02-06'),
|
||||
('NCI', 'active_new_visit_threshold_14d', 2.000000, 'active-new threshold in 14d visits', DATE '2026-02-06'),
|
||||
('NCI', 'amount_base_M0', 300.000000, 'spend log base M0', DATE '2026-02-06'),
|
||||
('NCI', 'balance_base_B0', 500.000000, 'balance log base B0', DATE '2026-02-06'),
|
||||
('NCI', 'compression_mode', 0.000000, 'compression mode', DATE '2026-02-06'),
|
||||
('NCI', 'enable_stop_high_balance_exception', 0.000000, 'enable high-balance STOP exception', DATE '2026-02-06'),
|
||||
('NCI', 'ewma_alpha', 0.200000, 'EWMA alpha', DATE '2026-02-06'),
|
||||
('NCI', 'h_recharge', 7.000000, 'recharge decay half-life (days)', DATE '2026-02-06'),
|
||||
('NCI', 'high_balance_threshold', 1000.000000, 'high-balance threshold', DATE '2026-02-06'),
|
||||
('NCI', 'lookback_days_recency', 60.000000, 'recency lookback window (days)', DATE '2026-02-06'),
|
||||
('NCI', 'new_days_threshold', 30.000000, 'new member days threshold', DATE '2026-02-06'),
|
||||
('NCI', 'new_recharge_max_visits', 10.000000, 'max visits for new-recharge grouping', DATE '2026-02-06'),
|
||||
('NCI', 'new_visit_threshold', 2.000000, 'new member visit threshold', DATE '2026-02-06'),
|
||||
('NCI', 'no_touch_days_new', 3.000000, 'no-touch threshold (days)', DATE '2026-02-06'),
|
||||
('NCI', 'percentile_lower', 5.000000, 'lower percentile', DATE '2026-02-06'),
|
||||
('NCI', 'percentile_upper', 95.000000, 'upper percentile', DATE '2026-02-06'),
|
||||
('NCI', 'recharge_recent_days', 14.000000, 'recent recharge window (days)', DATE '2026-02-06'),
|
||||
('NCI', 'salvage_end', 60.000000, 'salvage decay end day', DATE '2026-02-06'),
|
||||
('NCI', 'salvage_start', 30.000000, 'salvage decay start day', DATE '2026-02-06'),
|
||||
('NCI', 't2_target_days', 7.000000, 'second-visit target window (days)', DATE '2026-02-06'),
|
||||
('NCI', 'use_smoothing', 1.000000, 'enable smoothing', DATE '2026-02-06'),
|
||||
('NCI', 'value_w_bal', 0.800000, 'value weight for balance', DATE '2026-02-06'),
|
||||
('NCI', 'value_w_spend', 1.000000, 'value weight for spend', DATE '2026-02-06'),
|
||||
('NCI', 'visit_lookback_days', 180.000000, 'visit history lookback (days)', DATE '2026-02-06'),
|
||||
('NCI', 'w_need', 1.600000, 'need weight', DATE '2026-02-06'),
|
||||
('NCI', 'w_re', 0.800000, 'recharge pressure weight', DATE '2026-02-06'),
|
||||
('NCI', 'w_value', 1.000000, 'value weight', DATE '2026-02-06'),
|
||||
('NCI', 'w_welcome', 1.000000, 'welcome-stage weight', DATE '2026-02-06'),
|
||||
('NCI', 'welcome_window_days', 3.000000, 'welcome outreach window for first touch (days)', DATE '2026-02-06'),
|
||||
('WBI', 'amount_base_M0', 300.000000, 'spend log base M0', DATE '2026-02-06'),
|
||||
('WBI', 'balance_base_B0', 500.000000, 'balance log base B0', DATE '2026-02-06'),
|
||||
('WBI', 'compression_mode', 0.000000, 'compression mode', DATE '2026-02-06'),
|
||||
('WBI', 'enable_stop_high_balance_exception', 0.000000, 'enable high-balance STOP exception', DATE '2026-02-06'),
|
||||
('WBI', 'ewma_alpha', 0.200000, 'EWMA alpha', DATE '2026-02-06'),
|
||||
('WBI', 'h_recharge', 7.000000, 'recharge decay half-life (days)', DATE '2026-02-06'),
|
||||
('WBI', 'high_balance_threshold', 1000.000000, 'high-balance threshold', DATE '2026-02-06'),
|
||||
('WBI', 'lookback_days_recency', 60.000000, 'recency lookback window (days)', DATE '2026-02-06'),
|
||||
('WBI', 'new_days_threshold', 30.000000, 'new member days threshold', DATE '2026-02-06'),
|
||||
('WBI', 'new_recharge_max_visits', 10.000000, 'max visits for new-recharge grouping', DATE '2026-02-06'),
|
||||
('WBI', 'new_visit_threshold', 2.000000, 'new member visit threshold', DATE '2026-02-06'),
|
||||
('WBI', 'overdue_alpha', 2.000000, 'overdue fallback alpha', DATE '2026-02-06'),
|
||||
('WBI', 'overdue_weight_blend_min_samples', 8.000000, 'minimum samples to fully trust weighted overdue CDF', DATE '2026-02-07'),
|
||||
('WBI', 'overdue_weight_halflife_days', 30.000000, 'overdue weighted-CDF interval half-life (days)', DATE '2026-02-07'),
|
||||
('WBI', 'percentile_lower', 5.000000, 'lower percentile', DATE '2026-02-06'),
|
||||
('WBI', 'percentile_upper', 95.000000, 'upper percentile', DATE '2026-02-06'),
|
||||
('WBI', 'recency_gate_days', 14.000000, 'recency suppression gate center (days)', DATE '2026-02-06'),
|
||||
('WBI', 'recency_gate_slope_days', 3.000000, 'recency suppression slope (days)', DATE '2026-02-06'),
|
||||
('WBI', 'recency_hard_floor_days', 14.000000, 'hard floor for winback recency (days)', DATE '2026-02-06'),
|
||||
('WBI', 'recharge_recent_days', 14.000000, 'recent recharge window (days)', DATE '2026-02-06'),
|
||||
('WBI', 'use_smoothing', 1.000000, 'enable smoothing', DATE '2026-02-06'),
|
||||
('WBI', 'value_w_bal', 1.000000, 'value weight for balance', DATE '2026-02-06'),
|
||||
('WBI', 'value_w_spend', 1.000000, 'value weight for spend', DATE '2026-02-06'),
|
||||
('WBI', 'visit_lookback_days', 180.000000, 'visit history lookback (days)', DATE '2026-02-06'),
|
||||
('WBI', 'w_drop', 1.000000, 'drop weight', DATE '2026-02-06'),
|
||||
('WBI', 'w_over', 2.000000, 'overdue weight', DATE '2026-02-06'),
|
||||
('WBI', 'w_re', 0.400000, 'recharge pressure weight', DATE '2026-02-06'),
|
||||
('WBI', 'w_value', 1.200000, 'value weight', DATE '2026-02-06')
|
||||
ON CONFLICT (index_type, param_name, effective_from) DO UPDATE SET
|
||||
param_value = EXCLUDED.param_value,
|
||||
description = EXCLUDED.description,
|
||||
updated_at = NOW();
|
||||
|
||||
-- =============================================================================
|
||||
-- 关系指数（RS/OS/MS/ML）参数
|
||||
-- 生效时间：北京时间 2026-01-01（按数据库日期管理）
|
||||
-- =============================================================================
|
||||
|
||||
INSERT INTO dws.cfg_index_parameters
|
||||
(index_type, param_name, param_value, description, effective_from)
|
||||
VALUES
|
||||
-- RS（关系强度）
|
||||
('RS', 'lookback_days', 60.000000, '服务行为回溯窗口（天）', DATE '2026-01-01'),
|
||||
('RS', 'session_merge_hours', 4.000000, '会话合并阈值（小时）', DATE '2026-01-01'),
|
||||
('RS', 'incentive_weight', 1.500000, '激励课权重', DATE '2026-01-01'),
|
||||
('RS', 'halflife_session', 14.000000, '会话半衰期（天）', DATE '2026-01-01'),
|
||||
('RS', 'halflife_last', 10.000000, '最近一次服务半衰期（天）', DATE '2026-01-01'),
|
||||
('RS', 'weight_f', 1.000000, '频次项权重', DATE '2026-01-01'),
|
||||
('RS', 'weight_d', 0.700000, '时长项权重', DATE '2026-01-01'),
|
||||
('RS', 'gate_alpha', 0.600000, '最近服务门控指数', DATE '2026-01-01'),
|
||||
('RS', 'percentile_lower', 5.000000, '展示分下分位', DATE '2026-01-01'),
|
||||
('RS', 'percentile_upper', 95.000000, '展示分上分位', DATE '2026-01-01'),
|
||||
('RS', 'compression_mode', 1.000000, '压缩模式：0=none,1=log1p,2=asinh', DATE '2026-01-01'),
|
||||
('RS', 'use_smoothing', 1.000000, '是否启用分位平滑', DATE '2026-01-01'),
|
||||
('RS', 'ewma_alpha', 0.200000, 'EWMA平滑系数', DATE '2026-01-01'),
|
||||
|
||||
-- OS（归属份额）
|
||||
('OS', 'min_rs_raw_for_ownership', 0.050000, '参与归属计算的最小RS_raw', DATE '2026-01-01'),
|
||||
('OS', 'min_total_rs_raw', 0.100000, '形成稳定归属的最小sum_rs', DATE '2026-01-01'),
|
||||
('OS', 'ownership_main_threshold', 0.600000, '主责阈值', DATE '2026-01-01'),
|
||||
('OS', 'ownership_comanage_threshold', 0.350000, '共管阈值', DATE '2026-01-01'),
|
||||
('OS', 'ownership_gap_threshold', 0.150000, '主责与次席份额差阈值', DATE '2026-01-01'),
|
||||
('OS', 'eps', 0.000001, '数值稳定项', DATE '2026-01-01'),
|
||||
|
||||
-- MS（升温动量）
|
||||
('MS', 'lookback_days', 60.000000, '服务行为回溯窗口（天）', DATE '2026-01-01'),
|
||||
('MS', 'session_merge_hours', 4.000000, '会话合并阈值（小时）', DATE '2026-01-01'),
|
||||
('MS', 'incentive_weight', 1.500000, '激励课权重', DATE '2026-01-01'),
|
||||
('MS', 'halflife_short', 7.000000, '短期半衰期（天）', DATE '2026-01-01'),
|
||||
('MS', 'halflife_long', 30.000000, '长期半衰期（天）', DATE '2026-01-01'),
|
||||
('MS', 'eps', 0.000001, '数值稳定项', DATE '2026-01-01'),
|
||||
('MS', 'percentile_lower', 5.000000, '展示分下分位', DATE '2026-01-01'),
|
||||
('MS', 'percentile_upper', 95.000000, '展示分上分位', DATE '2026-01-01'),
|
||||
('MS', 'compression_mode', 1.000000, '压缩模式：0=none,1=log1p,2=asinh', DATE '2026-01-01'),
|
||||
('MS', 'use_smoothing', 1.000000, '是否启用分位平滑', DATE '2026-01-01'),
|
||||
('MS', 'ewma_alpha', 0.200000, 'EWMA平滑系数', DATE '2026-01-01'),
|
||||
|
||||
-- ML（付费关联）
|
||||
('ML', 'lookback_days', 60.000000, '充值行为回溯窗口（天）', DATE '2026-01-01'),
|
||||
('ML', 'amount_base', 500.000000, '金额压缩基准', DATE '2026-01-01'),
|
||||
('ML', 'halflife_recharge', 21.000000, '充值半衰期（天）', DATE '2026-01-01'),
|
||||
('ML', 'percentile_lower', 5.000000, '展示分下分位', DATE '2026-01-01'),
|
||||
('ML', 'percentile_upper', 95.000000, '展示分上分位', DATE '2026-01-01'),
|
||||
('ML', 'compression_mode', 1.000000, '压缩模式：0=none,1=log1p,2=asinh', DATE '2026-01-01'),
|
||||
('ML', 'use_smoothing', 1.000000, '是否启用分位平滑', DATE '2026-01-01'),
|
||||
('ML', 'ewma_alpha', 0.200000, 'EWMA平滑系数', DATE '2026-01-01')
|
||||
ON CONFLICT (index_type, param_name, effective_from) DO UPDATE SET
|
||||
param_value = EXCLUDED.param_value,
|
||||
description = EXCLUDED.description,
|
||||
updated_at = NOW();
|
||||
|
||||
|
||||
-- =============================================================================
|
||||
-- SPI（消费力指数）参数
|
||||
-- 生效时间：北京时间 2026-02-23
|
||||
-- =============================================================================
|
||||
|
||||
INSERT INTO dws.cfg_index_parameters
|
||||
(index_type, param_name, param_value, description, effective_from)
|
||||
VALUES
|
||||
-- 窗口参数
|
||||
('SPI', 'spend_window_short_days', 30.000000, '短期消费窗口（天）', DATE '2026-02-23'),
|
||||
('SPI', 'spend_window_long_days', 90.000000, '长期消费窗口（天）', DATE '2026-02-23'),
|
||||
('SPI', 'ewma_alpha_daily_spend', 0.300000, '日消费 EWMA 平滑系数', DATE '2026-02-23'),
|
||||
-- 金额压缩基数（基于典型台球门店消费水平的初始默认值）
|
||||
('SPI', 'amount_base_spend_30', 500.000000, '30天消费额压缩基数', DATE '2026-02-23'),
|
||||
('SPI', 'amount_base_spend_90', 1500.000000, '90天消费额压缩基数', DATE '2026-02-23'),
|
||||
('SPI', 'amount_base_ticket_90', 200.000000, '90天客单价压缩基数', DATE '2026-02-23'),
|
||||
('SPI', 'amount_base_recharge_90', 1000.000000, '90天充值额压缩基数', DATE '2026-02-23'),
|
||||
('SPI', 'amount_base_speed_abs', 100.000000, '绝对速度压缩基数', DATE '2026-02-23'),
|
||||
('SPI', 'amount_base_ewma_90', 50.000000, '日消费EWMA压缩基数', DATE '2026-02-23'),
|
||||
-- Level 子分权重
|
||||
('SPI', 'w_level_spend_30', 0.300000, 'Level子分：30天消费权重', DATE '2026-02-23'),
|
||||
('SPI', 'w_level_spend_90', 0.350000, 'Level子分：90天消费权重', DATE '2026-02-23'),
|
||||
('SPI', 'w_level_ticket_90', 0.200000, 'Level子分：90天客单权重', DATE '2026-02-23'),
|
||||
('SPI', 'w_level_recharge_90', 0.150000, 'Level子分：90天充值权重', DATE '2026-02-23'),
|
||||
-- Speed 子分权重
|
||||
('SPI', 'w_speed_abs', 0.500000, 'Speed子分：绝对速度权重', DATE '2026-02-23'),
|
||||
('SPI', 'w_speed_rel', 0.300000, 'Speed子分：相对速度权重', DATE '2026-02-23'),
|
||||
('SPI', 'w_speed_ewma', 0.200000, 'Speed子分：EWMA速度权重', DATE '2026-02-23'),
|
||||
-- 总分权重
|
||||
('SPI', 'weight_level', 0.600000, 'SPI总分：Level子分权重', DATE '2026-02-23'),
|
||||
('SPI', 'weight_speed', 0.300000, 'SPI总分：Speed子分权重', DATE '2026-02-23'),
|
||||
('SPI', 'weight_stability', 0.100000, 'SPI总分：Stability子分权重', DATE '2026-02-23'),
|
||||
-- 稳定性参数
|
||||
('SPI', 'stability_window_days', 90.000000, '稳定性计算窗口（天）', DATE '2026-02-23'),
|
||||
('SPI', 'use_stability', 1.000000, '是否启用稳定性子分：0=关闭,1=启用', DATE '2026-02-23'),
|
||||
-- 映射与平滑
|
||||
('SPI', 'percentile_lower', 5.000000, '展示分下分位', DATE '2026-02-23'),
|
||||
('SPI', 'percentile_upper', 95.000000, '展示分上分位', DATE '2026-02-23'),
|
||||
('SPI', 'compression_mode', 1.000000, '压缩模式：0=none,1=log1p,2=asinh', DATE '2026-02-23'),
|
||||
('SPI', 'use_smoothing', 1.000000, '是否启用分位平滑', DATE '2026-02-23'),
|
||||
('SPI', 'ewma_alpha', 0.200000, 'EWMA平滑系数', DATE '2026-02-23'),
|
||||
-- 速度计算
|
||||
('SPI', 'speed_epsilon', 0.000001, '速度计算防除零小量', DATE '2026-02-23')
|
||||
ON CONFLICT (index_type, param_name, effective_from) DO UPDATE SET
|
||||
param_value = EXCLUDED.param_value,
|
||||
description = EXCLUDED.description,
|
||||
updated_at = NOW();
|
||||
|
||||
-- =============================================================================
|
||||
-- 验证
|
||||
-- =============================================================================
|
||||
DO $$
|
||||
DECLARE
|
||||
rs_count INTEGER;
|
||||
os_count INTEGER;
|
||||
ms_count INTEGER;
|
||||
ml_count INTEGER;
|
||||
nci_count INTEGER;
|
||||
wbi_count INTEGER;
|
||||
spi_count INTEGER;
|
||||
BEGIN
|
||||
SELECT COUNT(*) INTO rs_count
|
||||
FROM dws.cfg_index_parameters
|
||||
WHERE index_type = 'RS';
|
||||
|
||||
SELECT COUNT(*) INTO os_count
|
||||
FROM dws.cfg_index_parameters
|
||||
WHERE index_type = 'OS';
|
||||
|
||||
SELECT COUNT(*) INTO ms_count
|
||||
FROM dws.cfg_index_parameters
|
||||
WHERE index_type = 'MS';
|
||||
|
||||
SELECT COUNT(*) INTO ml_count
|
||||
FROM dws.cfg_index_parameters
|
||||
WHERE index_type = 'ML';
|
||||
|
||||
SELECT COUNT(*) INTO nci_count
|
||||
FROM dws.cfg_index_parameters
|
||||
WHERE index_type = 'NCI';
|
||||
|
||||
SELECT COUNT(*) INTO wbi_count
|
||||
FROM dws.cfg_index_parameters
|
||||
WHERE index_type = 'WBI';
|
||||
|
||||
SELECT COUNT(*) INTO spi_count
|
||||
FROM dws.cfg_index_parameters
|
||||
WHERE index_type = 'SPI';
|
||||
|
||||
RAISE NOTICE 'RS 参数数量: %', rs_count;
|
||||
RAISE NOTICE 'OS 参数数量: %', os_count;
|
||||
RAISE NOTICE 'MS 参数数量: %', ms_count;
|
||||
RAISE NOTICE 'ML 参数数量: %', ml_count;
|
||||
RAISE NOTICE '新客转化参数数量: %', nci_count;
|
||||
RAISE NOTICE '唤回指数参数数量: %', wbi_count;
|
||||
RAISE NOTICE 'SPI 消费力指数参数数量: %', spi_count;
|
||||
END $$;
|
||||
|
||||
SELECT
|
||||
index_type,
|
||||
param_name,
|
||||
param_value,
|
||||
description,
|
||||
effective_from
|
||||
FROM dws.cfg_index_parameters
|
||||
ORDER BY index_type, param_name, effective_from;
|
||||
@@ -1,38 +0,0 @@
|
||||
-- CHANGE 2026-02-15 | 修复 schema 引用：etl_admin → meta（对齐新库 etl_feiqiu 六层架构）
|
||||
-- 将新的 ODS 任务注册到 meta.etl_task（按需替换 store_id）。
|
||||
|
||||
WITH target_store AS (
|
||||
SELECT 2790685415443269::bigint AS store_id -- TODO: 替换为实际 store_id
|
||||
),
|
||||
task_codes AS (
|
||||
SELECT unnest(ARRAY[
|
||||
-- Must match tasks/ods_tasks.py (ENABLED_ODS_CODES)
|
||||
'ODS_ASSISTANT_ACCOUNT',
|
||||
'ODS_ASSISTANT_LEDGER',
|
||||
-- CHANGE [2026-02-24] intent: 移除 ODS_ASSISTANT_ABOLISH（全链路已清理，表已删除）
|
||||
'ODS_SETTLEMENT_RECORDS',
|
||||
'ODS_TABLE_USE',
|
||||
'ODS_PAYMENT',
|
||||
'ODS_REFUND',
|
||||
'ODS_PLATFORM_COUPON',
|
||||
'ODS_MEMBER',
|
||||
'ODS_MEMBER_CARD',
|
||||
'ODS_MEMBER_BALANCE',
|
||||
'ODS_RECHARGE_SETTLE',
|
||||
'ODS_GROUP_PACKAGE',
|
||||
'ODS_GROUP_BUY_REDEMPTION',
|
||||
'ODS_INVENTORY_STOCK',
|
||||
'ODS_INVENTORY_CHANGE',
|
||||
'ODS_TABLES',
|
||||
'ODS_GOODS_CATEGORY',
|
||||
'ODS_STORE_GOODS',
|
||||
'ODS_STORE_GOODS_SALES',
|
||||
'ODS_TABLE_FEE_DISCOUNT',
|
||||
'ODS_TENANT_GOODS'
|
||||
]) AS task_code
|
||||
)
|
||||
INSERT INTO meta.etl_task (task_code, store_id, enabled)
|
||||
SELECT t.task_code, s.store_id, TRUE
|
||||
FROM task_codes t CROSS JOIN target_store s
|
||||
ON CONFLICT (task_code, store_id) DO UPDATE
|
||||
SET enabled = EXCLUDED.enabled;
|
||||
@@ -1,68 +0,0 @@
|
||||
-- CHANGE 2026-02-15 | 修复 schema 引用：etl_admin → meta（对齐新库 etl_feiqiu 六层架构）
|
||||
-- Seed scheduler-compatible tasks into meta.etl_task.
|
||||
--
|
||||
-- Notes:
|
||||
-- - These task_code values must match orchestration/task_registry.py.
|
||||
-- - ODS_* tasks are intentionally excluded here because they don't follow the
|
||||
-- BaseTask(cursor_data) scheduler interface in this repo version.
|
||||
--
|
||||
-- Usage (example):
|
||||
-- psql "%PG_DSN%" -f etl_billiards/database/seed_scheduler_tasks.sql
|
||||
--
|
||||
WITH target_store AS (
|
||||
SELECT 2790685415443269::bigint AS store_id -- TODO: replace with your store_id
|
||||
),
|
||||
task_codes AS (
|
||||
SELECT unnest(ARRAY[
|
||||
-- CHANGE [2026-02-24] intent: 移除 ASSISTANT_ABOLISH（全链路已清理）
|
||||
'ASSISTANTS',
|
||||
'COUPON_USAGE',
|
||||
'CHECK_CUTOFF',
|
||||
'DWD_LOAD_FROM_ODS',
|
||||
'DWD_QUALITY_CHECK',
|
||||
'INIT_DWD_SCHEMA',
|
||||
'INIT_DWS_SCHEMA',
|
||||
'INIT_ODS_SCHEMA',
|
||||
'INVENTORY_CHANGE',
|
||||
'LEDGER',
|
||||
'MANUAL_INGEST',
|
||||
'MEMBERS',
|
||||
'MEMBERS_DWD',
|
||||
'ODS_JSON_ARCHIVE',
|
||||
'ORDERS',
|
||||
'PACKAGES_DEF',
|
||||
'PAYMENTS',
|
||||
'PAYMENTS_DWD',
|
||||
'PRODUCTS',
|
||||
'REFUNDS',
|
||||
'TABLE_DISCOUNT',
|
||||
'TABLES',
|
||||
'TICKET_DWD',
|
||||
'TOPUPS',
|
||||
'DWS_BUILD_ORDER_SUMMARY',
|
||||
'DWS_ASSISTANT_DAILY',
|
||||
'DWS_ASSISTANT_MONTHLY',
|
||||
'DWS_ASSISTANT_CUSTOMER',
|
||||
'DWS_ASSISTANT_SALARY',
|
||||
'DWS_ASSISTANT_FINANCE',
|
||||
'DWS_MEMBER_CONSUMPTION',
|
||||
'DWS_MEMBER_VISIT',
|
||||
'DWS_FINANCE_DAILY',
|
||||
'DWS_FINANCE_RECHARGE',
|
||||
'DWS_FINANCE_INCOME_STRUCTURE',
|
||||
'DWS_FINANCE_DISCOUNT_DETAIL',
|
||||
'DWS_GOODS_STOCK_DAILY',
|
||||
'DWS_GOODS_STOCK_WEEKLY',
|
||||
'DWS_GOODS_STOCK_MONTHLY',
|
||||
'DWS_WINBACK_INDEX',
|
||||
'DWS_NEWCONV_INDEX',
|
||||
'DWS_RELATION_INDEX',
|
||||
'DWS_ML_MANUAL_IMPORT'
|
||||
]) AS task_code
|
||||
)
|
||||
INSERT INTO meta.etl_task (task_code, store_id, enabled)
|
||||
SELECT t.task_code, s.store_id, TRUE
|
||||
FROM task_codes t CROSS JOIN target_store s
|
||||
ON CONFLICT (task_code, store_id) DO UPDATE
|
||||
SET enabled = EXCLUDED.enabled,
|
||||
updated_at = now();
|
||||
Reference in New Issue
Block a user