新增：历史记录与推荐接口

controller/item_controller.go

@@ -15,7 +15,9 @@ type ItemController struct {
 func (c *ItemController) BeforeActivation(b mvc.BeforeActivation) {
 	b.Handle("GET", "/detail/{id:uint}", "Detail")
 
-	b.Handle("PUT", "/history/{id:uint}", "PutHistory")
+	b.Handle("PUT", "/history/{id:uint}", "PutHistory", middleware.JwtMiddleware.Serve)
+
+	b.Handle("GET", "/recommend", "GetRecommend", middleware.JwtMiddleware.Serve)
 
 	b.Handle("GET", "/list/type/{ttype:int}", "GetListByType")
 	b.Handle("GET", "/search", "Search")
@@ -60,12 +62,33 @@ func (c *ItemController) Detail(id uint) mvc.Result {
 // @Success      200       {object}  map[string]interface{}  "{"msg": "历史记录统计成功"}"
 // @Failure      400       {object}  map[string]interface{}  "{"msg": "错误信息","code":0}"
 // @Router       /api/item/history/{id} [put]
-func (c *ItemController) DetailHistory(id uint) mvc.Result {
+func (c *ItemController) PutHistory(id uint) mvc.Result {
 	uid := GetUidFromCtx(c.Ctx)
 	e := c.Service.Item.PutHistory(uid, id)
 	return e.Response()
 }
 
+// @Summary       	get recommend item api
+// @Description 获取推荐商品列表(首页使用，每次返回十个)
+// @Description 算法模型：用户浏览记录，用户购买记录，商品类型，商品热度
+// @Description 该接口为 BETA 接口，正在测试中，调用请谨慎
+// @Tags         	item api
+// @Accept       json
+// @Produce      json
+// @Success      200       {object}  []model.ItemModel  "{["id":1],["id":2]}"
+// @Failure      400       {object}  map[string]interface{}  "{"msg": "错误信息","code":0}"
+// @Router       /api/item/recommend [get]
+func (c *ItemController) GetRecommend() mvc.Result {
+	uid := GetUidFromCtx(c.Ctx)
+	itemHot, e := c.Service.Recomment.GetPersonalHotItems(uid)
+	if e.Error() {
+		return e.Response()
+	}
+	return mvc.Response{
+		Object: itemHot,
+	}
+}
+
 // @Summary       	get item list api
 // @Description 通过类型获取相关商品列表
 // @Tags         	item api

docs/docs.go

@@ -304,6 +304,46 @@ const docTemplate = `{
                 }
             }
         },
+        "/api/item/history/{id}": {
+            "put": {
+                "description": "上传用户浏览历史记录",
+                "consumes": [
+                    "application/json"
+                ],
+                "produces": [
+                    "application/json"
+                ],
+                "tags": [
+                    "item api"
+                ],
+                "summary": "上传用户浏览历史记录",
+                "parameters": [
+                    {
+                        "type": "integer",
+                        "description": "商品ID",
+                        "name": "id",
+                        "in": "path",
+                        "required": true
+                    }
+                ],
+                "responses": {
+                    "200": {
+                        "description": "{\"msg\": \"历史记录统计成功\"}",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    },
+                    "400": {
+                        "description": "{\"msg\": \"错误信息\",\"code\":0}",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
         "/api/item/list/type/{type}": {
             "get": {
                 "description": "通过类型获取相关商品列表",
@@ -447,6 +487,39 @@ const docTemplate = `{
                 }
             }
         },
+        "/api/item/recommend": {
+            "get": {
+                "description": "获取推荐商品列表(首页使用，每次返回十个)\n算法模型：用户浏览记录，用户购买记录，商品类型，商品热度\n该接口为 BETA 接口，正在测试中，调用请谨慎",
+                "consumes": [
+                    "application/json"
+                ],
+                "produces": [
+                    "application/json"
+                ],
+                "tags": [
+                    "item api"
+                ],
+                "summary": "get recommend item api",
+                "responses": {
+                    "200": {
+                        "description": "{[\"id\":1],[\"id\":2]}",
+                        "schema": {
+                            "type": "array",
+                            "items": {
+                                "$ref": "#/definitions/model.ItemModel"
+                            }
+                        }
+                    },
+                    "400": {
+                        "description": "{\"msg\": \"错误信息\",\"code\":0}",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
         "/api/item/search": {
             "get": {
                 "description": "搜索商品",

docs/swagger.json

@@ -298,6 +298,46 @@
                 }
             }
         },
+        "/api/item/history/{id}": {
+            "put": {
+                "description": "上传用户浏览历史记录",
+                "consumes": [
+                    "application/json"
+                ],
+                "produces": [
+                    "application/json"
+                ],
+                "tags": [
+                    "item api"
+                ],
+                "summary": "上传用户浏览历史记录",
+                "parameters": [
+                    {
+                        "type": "integer",
+                        "description": "商品ID",
+                        "name": "id",
+                        "in": "path",
+                        "required": true
+                    }
+                ],
+                "responses": {
+                    "200": {
+                        "description": "{\"msg\": \"历史记录统计成功\"}",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    },
+                    "400": {
+                        "description": "{\"msg\": \"错误信息\",\"code\":0}",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
         "/api/item/list/type/{type}": {
             "get": {
                 "description": "通过类型获取相关商品列表",
@@ -441,6 +481,39 @@
                 }
             }
         },
+        "/api/item/recommend": {
+            "get": {
+                "description": "获取推荐商品列表(首页使用，每次返回十个)\n算法模型：用户浏览记录，用户购买记录，商品类型，商品热度\n该接口为 BETA 接口，正在测试中，调用请谨慎",
+                "consumes": [
+                    "application/json"
+                ],
+                "produces": [
+                    "application/json"
+                ],
+                "tags": [
+                    "item api"
+                ],
+                "summary": "get recommend item api",
+                "responses": {
+                    "200": {
+                        "description": "{[\"id\":1],[\"id\":2]}",
+                        "schema": {
+                            "type": "array",
+                            "items": {
+                                "$ref": "#/definitions/model.ItemModel"
+                            }
+                        }
+                    },
+                    "400": {
+                        "description": "{\"msg\": \"错误信息\",\"code\":0}",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
         "/api/item/search": {
             "get": {
                 "description": "搜索商品",

docs/swagger.yaml

@@ -360,6 +360,33 @@ paths:
       summary: get item api
       tags:
       - item api
+  /api/item/history/{id}:
+    put:
+      consumes:
+      - application/json
+      description: 上传用户浏览历史记录
+      parameters:
+      - description: 商品ID
+        in: path
+        name: id
+        required: true
+        type: integer
+      produces:
+      - application/json
+      responses:
+        "200":
+          description: '{"msg": "历史记录统计成功"}'
+          schema:
+            additionalProperties: true
+            type: object
+        "400":
+          description: '{"msg": "错误信息","code":0}'
+          schema:
+            additionalProperties: true
+            type: object
+      summary: 上传用户浏览历史记录
+      tags:
+      - item api
   /api/item/list/type/{type}:
     get:
       consumes:
@@ -457,6 +484,31 @@ paths:
       summary: 删除商品
       tags:
       - item api
+  /api/item/recommend:
+    get:
+      consumes:
+      - application/json
+      description: |-
+        获取推荐商品列表(首页使用，每次返回十个)
+        算法模型：用户浏览记录，用户购买记录，商品类型，商品热度
+        该接口为 BETA 接口，正在测试中，调用请谨慎
+      produces:
+      - application/json
+      responses:
+        "200":
+          description: '{["id":1],["id":2]}'
+          schema:
+            items:
+              $ref: '#/definitions/model.ItemModel'
+            type: array
+        "400":
+          description: '{"msg": "错误信息","code":0}'
+          schema:
+            additionalProperties: true
+            type: object
+      summary: get recommend item api
+      tags:
+      - item api
   /api/item/search:
     get:
       consumes:

model/buyment_model.go

@@ -0,0 +1,15 @@
+package model
+
+type BuymentModel struct {
+	BaseModel
+	ItemId uint
+	UserId uint
+	Price  int
+
+	User UserModel `gorm:"foreignKey:UserId"`
+	Item ItemModel `gorm:"foreignKey:ItemId"`
+}
+
+func (BuymentModel) TableName() string {
+	return "buyment"
+}

model/history_model.go

@@ -5,4 +5,11 @@ type HistoryModel struct {
 	UserId uint
 	ItemId uint
 	Count  int
+
+	User UserModel `gorm:"foreignKey:UserId"`
+	Item ItemModel `gorm:"foreignKey:ItemId"`
+}
+
+func (HistoryModel) TableName() string {
+	return "history"
 }

model/model.go

@@ -21,7 +21,18 @@ func ConnectToDb(dsn string) *gorm.DB {
 	if err != nil {
 		panic(err)
 	}
-	err = DB.AutoMigrate(&CaptchaModel{}, &UserModel{}, &ItemModel{}, &LoginLogModel{}, &FileModel{}, &TypeModel{})
+	err = DB.AutoMigrate(&CaptchaModel{},
+		&UserModel{},
+		&ItemModel{},
+		&LoginLogModel{},
+		&FileModel{},
+		&TypeModel{},
+		&HistoryModel{},
+		&BuymentModel{},
+	)
+	if err != nil {
+		panic(err)
+	}
 	return DB
 }
 

model/redis.go

@@ -2,6 +2,8 @@ package model
 
 import (
 	"context"
+	"encoding/json"
+	"fmt"
 	"time"
 
 	"github.com/redis/go-redis/v9"
@@ -25,8 +27,22 @@ func RedisRemember(key string, timeout int, funct func() interface{}) string {
 	ctx := context.Background()
 	if RDB.Exists(ctx, key).Val() == 0 {
 		data := funct()
-		RDB.Set(ctx, key, data, time.Duration(timeout)*time.Second)
+		b, _ := json.Marshal(data)
+		s := RDB.Set(ctx, key, string(b), time.Duration(timeout)*time.Second)
+		if s.Err() != nil {
+			fmt.Printf("s.Err(): %v\n", s.Err())
+		}
 		return RDB.Get(ctx, key).Val()
 	}
 	return RDB.Get(ctx, key).Val()
 }
+
+func RedisForget(key string) {
+	ctx := context.Background()
+	RDB.Del(ctx, key)
+}
+
+func RedisRememberRet(key string, timeout int, funct func() interface{}, ret interface{}) {
+	s := RedisRemember(key, timeout, funct)
+	json.Unmarshal([]byte(s), ret)
+}

service/item_service.go

@@ -67,7 +67,7 @@ func (s *ItemService) PutHistory(uid uint, item_id uint) *ecode.Ecode {
 	h := new(model.HistoryModel)
 	// 查看以前共有几条纪录
 	var c int64
-	model.DB.Model(h).Where("uid=? and item_id=?", uid, item_id).Count(&c)
+	model.DB.Model(h).Where("user_id=? and item_id=?", uid, item_id).Count(&c)
 	h.UserId = uid
 	h.ItemId = item_id
 	h.Count = int(c) + 1

service/recomment_service.go

@@ -0,0 +1,157 @@
+package service
+
+import (
+	"sort"
+	"strconv"
+	"yitao/ecode"
+	"yitao/model"
+)
+
+type RecommentService struct{}
+
+// 推荐算法模块
+/*********************************************************************************/
+
+// 获取用户个人推荐商品
+func (s *RecommentService) GetPersonalHotItems(uid uint) (items []model.ItemModel, e *ecode.Ecode) {
+	e = ecode.OK()
+
+	// 在算法中处理的都是“类型”，而最后返回的是“商品”
+
+	// 类型总体热度 = 该类商品在过去30天的浏览量*0.5 + 该类商品的总被购买量*0.5
+	// 用户喜爱程度 = 用户对该类商品的浏览量*0.4 + 用户对该类商品的购买量*0.6
+	// 时间指数：为解决商品冷启动问题：Wtime = 1/(1+e^(-x))
+	// 类型推荐程度 = (类型总体热度*0.4 + 用户喜爱程度*0.6) * Wtime
+	// 将类型推荐程度进行拟合，得到一个商品符合类型多的商品
+	// 然后在对所有商品对于所有用户的浏览量进行排序，采用类型拟合优先，类型完全一致的商品采用浏览量排序
+
+	// 因为用户会一直刷新列表
+	// 在前15名中随机选取5个商品，在15-27随机选取4个商品，在27-30中随机选取1个商品
+	// 维持三轮，如果用户三轮都不满意，那么判定用户是来找茬的，建议前端直接跳个鬼图
+	// 这样做可以也可以保证热门商品可能被重复推荐，让用户狠狠购买！
+
+	// 该算法运行过程中计算与数据库负荷较大，用户喜爱程度缓存60秒，商品总体热度缓存600秒，单一商品浏览量缓存60秒
+	// @TODO: 采用布隆过滤器，降低推荐过的商品的概率
+
+	//缓存机制，每次用户的记录都会隔60秒更新
+	// userHotTypes := model.RedisRemember(strconv.FormatUint(uint64(uid), 10)+"_hot_types", 60, func() interface{} {
+	// 	return s.LoadUserHotTypes(uid)
+	// })
+	// allHotTypes := model.RedisRemember("all_hot_types", 600, func() interface{} {
+	// 	return s.LoadAllHotTypes()
+	// })
+
+	userHotTypes := new(map[int]int)
+	model.RedisRememberRet(strconv.FormatUint(uint64(uid), 10)+"_hot_types", 60, func() interface{} {
+		return s.LoadUserHotTypes(uid)
+	}, &userHotTypes)
+	allHotTypes := new(map[int]int)
+	model.RedisRememberRet("all_hot_types", 600, func() interface{} {
+		return s.LoadAllHotTypes()
+	}, &allHotTypes)
+
+	// 整合
+	allTypes := make(map[int]int)
+	for k, v := range *userHotTypes {
+		allTypes[k] += v
+	}
+	for k, v := range *allHotTypes {
+		allTypes[k] += v
+	}
+
+	// 在所有商品中匹配符合类型多的
+	// 1. 获取所有商品
+	var allItems []model.ItemModel
+	model.DB.Find(&allItems)
+	// 2. 计算商品的类型匹配度
+	var itemMatch = make(map[uint]int)
+	for _, item := range allItems {
+		for _, t := range item.Types {
+			itemMatch[item.ID] += allTypes[t]
+		}
+	}
+
+	// 3. 对商品进行排序
+	type kv struct {
+		Key   uint
+		Value int
+	}
+
+	var sortedItems []kv
+	for k, v := range itemMatch {
+		sortedItems = append(sortedItems, kv{k, v})
+	}
+
+	sort.Slice(sortedItems, func(i, j int) bool {
+		return sortedItems[i].Value > sortedItems[j].Value
+	})
+
+	// 4. 根据排序结果获取商品
+	for _, kv := range sortedItems {
+		var item model.ItemModel
+		model.DB.First(&item, kv.Key)
+		items = append(items, item)
+	}
+
+	// 5. 随机选取商品
+	var result []model.ItemModel
+	if len(items) > 30 {
+		for i := 0; i < 5; i++ {
+			result = append(result, items[i])
+		}
+		for i := 15; i < 27; i++ {
+			result = append(result, items[i])
+		}
+		result = append(result, items[29])
+	} else {
+		result = items
+	}
+
+	return result, e
+}
+
+func (s *RecommentService) LoadUserHotTypes(uid uint) map[int]int {
+	// 1. 获取用户的历史记录
+	var history []model.HistoryModel
+	model.DB.Preload("Item").Where("user_id=?", uid).Find(&history)
+	// 提取对每种商品的类型
+	var allTypes = make(map[int]int)
+	for _, h := range history {
+		for _, t := range h.Item.Types {
+			allTypes[t] += 4
+		}
+	}
+
+	// 2. 获取用户的购买记录
+	var buyments []model.BuymentModel
+	model.DB.Preload("Item").Preload("User").Where("user_id=?", uid).Find(&buyments)
+	for _, b := range buyments {
+		for _, t := range b.Item.Types {
+			allTypes[t] += 6
+		}
+	}
+	return allTypes
+}
+
+func (s *RecommentService) LoadAllHotTypes() map[int]int {
+	// 获取全部的商品浏览记录
+	var history []model.HistoryModel
+	model.DB.Preload("Item").Find(&history)
+	// 提取对每种商品的类型
+	var allTypes = make(map[int]int)
+	for _, h := range history {
+		for _, t := range h.Item.Types {
+			allTypes[t] += 5
+		}
+	}
+
+	// 获取全部的商品购买记录
+	var buyments []model.BuymentModel
+	model.DB.Preload("Item").Preload("User").Find(&buyments)
+	for _, b := range buyments {
+		for _, t := range b.Item.Types {
+			allTypes[t] += 5
+		}
+	}
+	return allTypes
+}

service/service.go

@@ -7,6 +7,7 @@ type Service struct {
 	Common    *CommonService
 	Item      *ItemService
 	File      *FileService
+	Recomment *RecommentService
 }
 
 func InitService() *Service {
@@ -18,6 +19,7 @@ func InitService() *Service {
 	s.Common = new(CommonService)
 	s.Item = new(ItemService)
 	s.File = new(FileService)
+	s.Recomment = new(RecommentService)
 
 	return s
 }