项目结构：
/* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:50 # User : geovindu # Product : GoLand # Project : goalgorithms # File : settings.go */ package config var ( // 钻石评分权重 DiamondWeightCarat = 0.5 DiamondWeightColor = 0.3 DiamondWeightClarity = 0.2 PriceIterStep = 0.01 MinMarkupCoeff = 1.3 MaxMarkupCoeff = 2.2 ) /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:51 # User : geovindu # Product : GoLand # Project : goalgorithms # File : diamond.go */ package models import "goalgorithms/iterative/config" type Diamond struct { StoneID string Carat float64 Color string Clarity string CostPrice float64 } func (d *Diamond) CalcComprehensiveScore() float64 { colorMap := map[string]float64{ "D": 100, "E": 96, "F": 92, "G": 88, "H": 84, "I": 78, } clarityMap := map[string]float64{ "FL": 100, "VVS1": 95, "VVS2": 90, "VS1": 85, "VS2": 80, "SI1": 70, } cScore := d.Carat * 100 colScore := colorMap[d.Color] claScore := clarityMap[d.Clarity] total := cScore*config.DiamondWeightCarat + colScore*config.DiamondWeightColor + claScore*config.DiamondWeightClarity return total } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:52 # User : geovindu # Product : GoLand # Project : goalgorithms # File : ring_mount.go */ package models type RingMount struct { MountID string Material string CostPrice float64 } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:52 # User : geovindu # Product : GoLand # Project : goalgorithms # File : jade_blank.go */ package models type JadeBlank struct { BlankID string Length float64 Width float64 Thick float64 CostPrice float64 UsableRate float64 } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:52 # User : geovindu # Product : GoLand # Project : goalgorithms # File : product.go */ package models // 预留扩展基础商品实体 type Product struct { ProductID string Name string Cost float64 } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:53 # User : geovindu # Product : GoLand # Project : goalgorithms # File : request.go */ package schemas type DiamondRecommendRequest struct { Budget float64 Material string } type JadeMatchRequest struct { MinL float64 MaxL float64 MinW float64 MaxW float64 MinT float64 MaxT float64 PriceMin float64 PriceMax float64 } type PriceOptRequest struct { BaseCost float64 MinCoeff float64 MaxCoeff float64 Step float64 } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:53 # User : geovindu # Product : GoLand # Project : goalgorithms # File : response.go */ package schemas import "goalgorithms/iterative/models" type DiamondComboResult struct { Diamond models.Diamond Mount models.RingMount TotalCost float64 Score float64 } type JadeMatchResult struct { Blank models.JadeBlank } type PriceOptResult struct { BestCoeff float64 BestSellPrice float64 MaxGrossProfit float64 } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:53 # User : geovindu # Product : GoLand # Project : goalgorithms # File : iterative_matcher.go */ package algorithms // FilterFunc[T any] 通用过滤回调 type FilterFunc[T any] func(item T) bool // ScoreFunc[T any] 通用评分回调，分值越高越优 type ScoreFunc[T any] func(item T) float64 // IterativeMatcher 通用迭代匹配器 type IterativeMatcher struct{} // FindOptimal 迭代遍历候选集，筛选并找出评分最高元素 // 返回副本指针；无匹配返回nil func FindOptimal[T any](candidates []T, filter FilterFunc[T], score ScoreFunc[T]) *T { bestIdx := -1 bestScore := -1e18 for idx, item := range candidates { if !filter(item) { continue } s := score(item) if s > bestScore { bestScore = s bestIdx = idx } } if bestIdx < 0 { return nil } // 拷贝独立副本，防止外部修改污染原始数据 target := candidates[bestIdx] return &target } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 17:56 # User : geovindu # Product : GoLand # Project : goalgorithms # File : iterative_optimizer.go */ package algorithms // EvalFunc 评估函数：输入参数，返回目标值（毛利） type EvalFunc func(coeff float64) float64 type IterativeOptimizer struct{} func (opt *IterativeOptimizer) Optimize(start, end, step float64, eval EvalFunc) (bestParam float64, maxTarget float64) { bestParam = start maxTarget = -1 << 30 current := start for current <= end { val := eval(current) if val > maxTarget { maxTarget = val bestParam = current } current += step } return } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:01 # User : geovindu # Product : GoLand # Project : goalgorithms # File : base_repo.go */ package repository // 仓储抽象接口 type BaseRepository[T any] interface { ListAll() []T } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:02 # User : geovindu # Product : GoLand # Project : goalgorithms # File : diamond_repo.go */ package repository import "goalgorithms/iterative/models" type DiamondRepo struct { storage []models.Diamond } func NewDiamondRepo() *DiamondRepo { return &DiamondRepo{ storage: []models.Diamond{ {"D001", 0.52, "H", "VS1", 24800}, {"D002", 0.48, "G", "VS2", 22100}, {"D003", 0.55, "I", "SI1", 21300}, }, } } func (r *DiamondRepo) ListAll() []models.Diamond { res := make([]models.Diamond, len(r.storage)) copy(res, r.storage) return res } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:02 # User : geovindu # Product : GoLand # Project : goalgorithms # File : ring_mount_repo.go */ package repository import "goalgorithms/iterative/models" type RingMountRepo struct { storage []models.RingMount } func NewRingMountRepo() *RingMountRepo { return &RingMountRepo{ storage: []models.RingMount{ {"M001", "18K", 4200}, {"M002", "铂金", 5600}, }, } } func (r *RingMountRepo) ListAll() []models.RingMount { res := make([]models.RingMount, len(r.storage)) copy(res, r.storage) return res } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:03 # User : geovindu # Product : GoLand # Project : goalgorithms # File : jade_repo.go */ package repository import "goalgorithms/iterative/models" type JadeRepo struct { storage []models.JadeBlank } func NewJadeRepo() *JadeRepo { return &JadeRepo{ storage: []models.JadeBlank{ {"J001", 32.5, 21.2, 7.3, 6800, 0.86}, {"J002", 30.1, 19.8, 6.9, 6200, 0.91}, {"J003", 36.0, 24.1, 8.2, 7500, 0.79}, }, } } func (r *JadeRepo) ListAll() []models.JadeBlank { res := make([]models.JadeBlank, len(r.storage)) copy(res, r.storage) return res } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:03 # User : geovindu # Product : GoLand # Project : goalgorithms # File : recommend_service.go */ package services import ( "goalgorithms/iterative/repository" "goalgorithms/iterative/schemas" ) type DiamondRecommendService struct { diaRepo *repository.DiamondRepo mountRepo *repository.RingMountRepo } func NewDiamondRecommendService(dia *repository.DiamondRepo, mount *repository.RingMountRepo) *DiamondRecommendService { return &DiamondRecommendService{ diaRepo: dia, mountRepo: mount, } } func (s *DiamondRecommendService) FindBestCombo(req schemas.DiamondRecommendRequest) *schemas.DiamondComboResult { diamonds := s.diaRepo.ListAll() mounts := s.mountRepo.ListAll() var best *schemas.DiamondComboResult bestScore := -1.0 for _, dia := range diamonds { for _, mount := range mounts { if mount.Material != req.Material { continue } total := dia.CostPrice + mount.CostPrice if total > req.Budget { continue } score := dia.CalcComprehensiveScore() if score > bestScore { bestScore = score best = &schemas.DiamondComboResult{ Diamond: dia, Mount: mount, TotalCost: total, Score: score, } } } } return best } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:03 # User : geovindu # Product : GoLand # Project : goalgorithms # File : jade_custom_service.go */ package services import ( "goalgorithms/iterative/algorithms" "goalgorithms/iterative/models" "goalgorithms/iterative/repository" "goalgorithms/iterative/schemas" ) type JadeCustomService struct { jadeRepo *repository.JadeRepo } func NewJadeCustomService(repo *repository.JadeRepo) *JadeCustomService { return &JadeCustomService{ jadeRepo: repo, } } func (s *JadeCustomService) MatchOptimalBlank(req schemas.JadeMatchRequest) *schemas.JadeMatchResult { blanks := s.jadeRepo.ListAll() filter := func(item models.JadeBlank) bool { condSize := (req.MinL <= item.Length && item.Length <= req.MaxL) && (req.MinW <= item.Width && item.Width <= req.MaxW) && (req.MinT <= item.Thick && item.Thick <= req.MaxT) condPrice := req.PriceMin <= item.CostPrice && item.CostPrice <= req.PriceMax return condSize && condPrice } score := func(item models.JadeBlank) float64 { return item.UsableRate } best := algorithms.FindOptimal(blanks, filter, score) if best == nil { return nil } return &schemas.JadeMatchResult{Blank: *best} } /* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:04 # User : geovindu # Product : GoLand # Project : goalgorithms # File : pricing_service.go */ package services import ( "goalgorithms/iterative/algorithms" "goalgorithms/iterative/schemas" ) type ProductPricingService struct { optimizer *algorithms.IterativeOptimizer } func NewProductPricingService() *ProductPricingService { return &ProductPricingService{ optimizer: &algorithms.IterativeOptimizer{}, } } func (s *ProductPricingService) CalcOptimalPrice(req schemas.PriceOptRequest) schemas.PriceOptResult { baseCost := req.BaseCost eval := func(coeff float64) float64 { sellPrice := baseCost * coeff volume := 120 - sellPrice/45 if volume < 0 { volume = 0 } profit := (sellPrice - baseCost) * volume return profit } bestCoeff, maxProfit := s.optimizer.Optimize(req.MinCoeff, req.MaxCoeff, req.Step, eval) bestPrice := baseCost * bestCoeff return schemas.PriceOptResult{ BestCoeff: bestCoeff, BestSellPrice: bestPrice, MaxGrossProfit: maxProfit, } }调用：
/* # 版权所有 2026 ©涂聚文有限公司™ ® # 许可信息查看：言語成了邀功盡責的功臣，還需要行爲每日來值班嗎 # 描述：Iterative Algorithms # Author : geovindu,Geovin Du 涂聚文. # IDE : goLang 2024.3.6 go 26.2 # os : windows 10 # database : mysql 9.0 sql server 2019, postgreSQL 17.0 Oracle 21c Neo4j # Datetime : 2026/7/25 18:06 # User : geovindu # Product : GoLand # Project : goalgorithms # File : iterativebll.go */ package bll import ( "fmt" "goalgorithms/iterative/config" "goalgorithms/iterative/repository" "goalgorithms/iterative/schemas" "goalgorithms/iterative/services" ) func demoRecommend() { diaRepo := repository.NewDiamondRepo() mountRepo := repository.NewRingMountRepo() svc := services.NewDiamondRecommendService(diaRepo, mountRepo) req := schemas.DiamondRecommendRequest{Budget: 30000, Material: "18K"} res := svc.FindBestCombo(req) if res != nil { fmt.Println("==== 钻戒最优组合 ====") fmt.Printf("主石:%s, %.2fct\n", res.Diamond.StoneID, res.Diamond.Carat) fmt.Printf("戒托:%s\n", res.Mount.MountID) fmt.Printf("合计成本:%.2f,综合评分:%.2f\n", res.TotalCost, res.Score) } } func demoJadeMatch() { repo := repository.NewJadeRepo() svc := services.NewJadeCustomService(repo) req := schemas.JadeMatchRequest{ MinL: 28, MaxL: 33, MinW: 18, MaxW: 22, MinT: 6, MaxT: 8, PriceMin: 5000, PriceMax: 7000, } res := svc.MatchOptimalBlank(req) if res != nil { fmt.Println("\n==== 匹配翡翠毛料 ====") fmt.Printf("毛料ID:%s,利用率:%.2f\n", res.Blank.BlankID, res.Blank.UsableRate) } } func demoPricing() { svc := services.NewProductPricingService() req := schemas.PriceOptRequest{ BaseCost: 1680, MinCoeff: config.MinMarkupCoeff, MaxCoeff: config.MaxMarkupCoeff, Step: config.PriceIterStep, } res := svc.CalcOptimalPrice(req) fmt.Println("\n==== 动态定价结果 ====") fmt.Printf("最优加价系数:%.2f\n", res.BestCoeff) fmt.Printf("建议售价:%.2f\n", res.BestSellPrice) fmt.Printf("预期最大毛利:%.2f\n", res.MaxGrossProfit) } func IterativeMain() { demoRecommend() demoJadeMatch() demoPricing() }介绍了一个基于Go语言实现的珠宝行业迭代算法系统，主要包含三个核心功能模块：
钻石推荐服务：根据预算和材质要求，通过综合评分算法（考虑克拉、颜色、净度权重）匹配最优钻石与戒托组合。
翡翠毛料匹配服务：根据尺寸和价格范围筛选翡翠原料，优先选择利用率高的毛料。
动态定价优化服务：通过迭代计算不同加价系数下的预期毛利，确定最优售价策略。
系统采用模块化设计，包含配置管理、数据模型、算法引擎、仓储服务和业务逻辑层，支持珠宝行业的智能推荐、原料匹配和定价决策。示例输出展示了钻石组合推荐、翡翠匹配和动态定价的计算结果。
输出：
