go: Iterative Algorithms

geovindu2026-07-26 23:30

项目结构：

Go 复制代码 
/*
# 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：

Go 复制代码 
/*
# 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：

  1. 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。

  2. 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。

  3. 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。

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