go: Iterative Algorithms

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