feat: multi-dim comparison + clustering + per-supplier PDF export

Backend:
- BizComparisonVO: add composite score fields (priceScore, deliveryScore,
  qualityScore, serviceScore, compositeScore, rankBadge) + SupplierPlan cluster VO
- Mapper: join biz_supplier_evaluation for quality/service history scores
- Service: weighted scoring (price 40%/delivery 25%/quality 20%/service 15%),
  greedy clustering assigns each item to best-score supplier, groups into plans
- Controller: returns CompareResult with items + recommendedPlans

Frontend:
- Tab 1 (多维度比价): supplier rank cards with 4-dim progress bars
- Tab 2 (智能推荐方案): per-supplier cluster cards with explanation + PDF export
- PDF: logo header, score legend, items table, cluster reason per supplier
This commit is contained in:
2026-05-22 11:19:29 +08:00
parent 1bc99dcc7c
commit 608ee0ed61
7 changed files with 823 additions and 111 deletions

View File

@@ -1,25 +1,48 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.ruoyi.system.mapper.bid.BizComparisonMapper">
<!-- 核心比价数据:物料行 + 各供应商报价 + 历史评价均分 -->
<select id="selectComparisonData" resultType="java.util.HashMap">
SELECT
ri.item_id AS rfqItemId,
ri.material_name AS materialName,
ri.spec AS spec,
ri.unit AS unit,
ri.quantity AS quantity,
qi.unit_price AS unitPrice,
qi.total_price AS totalPrice,
qi.delivery_days AS deliveryDays,
q.quotation_id AS quotationId,
q.quote_no AS quoteNo,
q.supplier_id AS supplierId,
s.supplier_name AS supplierName
ri.item_id AS rfqItemId,
ri.material_name AS materialName,
ri.spec AS spec,
ri.unit AS unit,
ri.quantity AS quantity,
qi.unit_price AS unitPrice,
qi.total_price AS totalPrice,
qi.delivery_days AS deliveryDays,
q.quotation_id AS quotationId,
q.quote_no AS quoteNo,
q.supplier_id AS supplierId,
s.supplier_name AS supplierName,
s.contact AS contact,
s.phone AS phone,
COALESCE(ev.avg_quality, 3.0) AS avgQuality,
COALESCE(ev.avg_service, 3.0) AS avgService,
COALESCE(ev.eval_count, 0) AS historyCount
FROM biz_rfq_item ri
LEFT JOIN biz_quotation_item qi ON qi.rfq_item_id = ri.item_id
LEFT JOIN biz_quotation q ON q.quotation_id = qi.quotation_id AND q.status = 'submitted'
LEFT JOIN biz_supplier s ON s.supplier_id = q.supplier_id
LEFT JOIN biz_quotation_item qi ON qi.rfq_item_id = ri.item_id
LEFT JOIN biz_quotation q ON q.quotation_id = qi.quotation_id
AND q.status IN ('submitted','accepted')
LEFT JOIN biz_supplier s ON s.supplier_id = q.supplier_id
LEFT JOIN (
SELECT supplier_id,
AVG(quality_score) AS avg_quality,
AVG(service_score) AS avg_service,
COUNT(*) AS eval_count
FROM biz_supplier_evaluation
GROUP BY supplier_id
) ev ON ev.supplier_id = q.supplier_id
WHERE ri.rfq_id = #{rfqId}
ORDER BY ri.item_id, qi.unit_price
ORDER BY ri.item_id, qi.unit_price ASC
</select>
<!-- RFQ基本信息 -->
<select id="selectRfqInfo" resultType="java.util.HashMap">
SELECT rfq_no AS rfqNo, rfq_title AS rfqTitle
FROM biz_rfq WHERE rfq_id = #{rfqId}
</select>
</mapper>