package services

import (
	"context"
	"encoding/json"
	"fmt"
	"github.com/olivere/elastic/v7"
	"hongze/hongze_mfyx/models"
	"hongze/hongze_mfyx/utils"
	"strconv"
)

func EsMultiMatchFunctionScoreQuerySort(indexName, keyWord string, startSize, pageSize, userId int, orderColumn string) (result []*models.SearchItem, total int64, err error) {
	client := utils.Client
	keyWordArr, err := GetIndustryMapNameSliceV3(keyWord)
	keyWordArr = RemoveDuplicatesAndEmpty(keyWordArr)
	//artidArr := make([]elastic.Query, 0)
	//matchArr := make([]elastic.Query, 0)
	n := 0
	keyWordLen := len(keyWordArr)
	if keyWordLen <= 0 {
		keyWordArr = append(keyWordArr, keyWord)
		keyWordLen = len(keyWordArr)
	}

	// @Param   OrderColumn   query   int  true       "排序字段 ，Comprehensive综合 ，Matching匹配度 ，PublishDate 发布时间 "
	utils.FileLog.Info("SearchKeyWord:%s, userId:%s", keyWordArr, strconv.Itoa(userId))
	//keyWordWeight := GetWeight(keyWordLen)
	for _, v := range keyWordArr {
		if v != "" {
			matchArr := make([]elastic.Query, 0)
			boolquery := elastic.NewBoolQuery()
			bodyFunctionQuery := elastic.NewFunctionScoreQuery()
			bodyFunctionQuery2 := elastic.NewFunctionScoreQuery()
			bodyFunctionQuery3 := elastic.NewFunctionScoreQuery()

			//multiMatch := elastic.NewMultiMatchQuery(v, "Title", "BodyText").Analyzer("ik_smart")
			multiMatch := elastic.NewMultiMatchQuery(v, "Title").Analyzer("ik_smart").Boost(100)
			bodyFunctionQuery.Query(multiMatch)
			matchArr = append(matchArr, bodyFunctionQuery)

			multiMatch = elastic.NewMultiMatchQuery(v, "BodyText").Analyzer("ik_smart").Boost(1)
			bodyFunctionQuery2.Query(multiMatch)
			matchArr = append(matchArr, bodyFunctionQuery2)

			//multiMatch = elastic.NewMultiMatchQuery(1, "IsSummary")
			bodyFunctionQuery3.Query(multiMatch)
			matchArr = append(matchArr, bodyFunctionQuery3)

			boolquery.Should(matchArr...)

			//multiMatch = elastic.NewMultiMatchQuery(v, "BodyText").Analyzer("ik_smart")
			//bodyFunctionQuery.Query(multiMatch)
			//matchArr = append(matchArr, bodyFunctionQuery)
			//boolquery.Should(matchArr...)

			highlight := elastic.NewHighlight()
			highlight = highlight.PreTags("<font color='red'>").PostTags("</font>")
			highlight = highlight.Fields(elastic.NewHighlighterField("Title"), elastic.NewHighlighterField("BodyText"))
			request := client.Search(indexName).Highlight(highlight).Sort("PublishDate", false).From(0).Size(pageSize).Query(boolquery)
			if orderColumn == "Matching" {
				request = client.Search(indexName).Highlight(highlight).From(0).Size(pageSize).Query(boolquery)
			}
			searchByMatch, err := request.Do(context.Background())
			if err != nil {
				return nil, 0, err
			}
			if searchByMatch != nil {
				if searchByMatch.Hits != nil {
					for _, v := range searchByMatch.Hits.Hits {
						var isAppend bool
						articleJson, err := v.Source.MarshalJSON()
						if err != nil {
							return nil, 0, err
						}
						article := new(models.CygxArticleEs)
						err = json.Unmarshal(articleJson, &article)
						if err != nil {
							return nil, 0, err
						}
						searchItem := new(models.SearchItem)
						searchItem.ArticleId, _ = strconv.Atoi(v.Id)
						if len(v.Highlight["BodyText"]) > 0 {
							searchItem.Body = v.Highlight["BodyText"]
						} else {
							bodyRune := []rune(article.BodyText)
							bodyRuneLen := len(bodyRune)
							if bodyRuneLen > 100 {
								bodyRuneLen = 100
							}
							body := string(bodyRune[:bodyRuneLen])
							searchItem.Body = []string{body}
						}
						var title string
						if len(v.Highlight["Title"]) > 0 {
							title = v.Highlight["Title"][0]
						} else {
							title = article.Title
						}
						searchItem.Title = title
						searchItem.PublishDate = article.PublishDate
						searchItem.ExpertBackground = article.ExpertBackground
						searchItem.CategoryId = article.CategoryId
						for _, v_result := range result {
							if v_result.ArticleId == searchItem.ArticleId {
								isAppend = true
							}
						}
						if !isAppend {
							result = append(result, searchItem)
						}
					}
				}
				//total += searchByMatch.Hits.TotalHits.Value
			}
		}
		n++
	}
	total = int64(len(result))
	return
}

func EsMultiMatchFunctionScoreQueryTimeSort(indexName, keyWord string, startSize, pageSize, userId int) (result []*models.SearchItem, total int64, err error) {
	client := utils.Client
	keyWordArr, err := GetIndustryMapNameSliceV2(keyWord)

	keyWordArr = RemoveDuplicatesAndEmpty(keyWordArr)
	boolquery := elastic.NewBoolQuery()
	matchArr := make([]elastic.Query, 0)
	//matchArr2 := make([]elastic.Query, 0)

	n := 0
	keyWordLen := len(keyWordArr)
	if keyWordLen <= 0 {
		keyWordArr = append(keyWordArr, keyWord)
		keyWordLen = len(keyWordArr)
	}
	utils.FileLog.Info("SearchKeyWord:%s, userId:%s", keyWordArr, strconv.Itoa(userId))
	for _, v := range keyWordArr {
		if v != "" {
			multiMatch := elastic.NewMultiMatchQuery(v, "Title", "BodyText")
			bodyFunctionQuery := elastic.NewFunctionScoreQuery()
			bodyFunctionQuery.Query(multiMatch)
			matchArr = append(matchArr, bodyFunctionQuery)
		}
		n++
	}
	boolquery.Should(matchArr...)
	highlight := elastic.NewHighlight()
	highlight = highlight.Fields(elastic.NewHighlighterField("Title"), elastic.NewHighlighterField("BodyText"))
	highlight = highlight.PreTags("<font color='red'>").PostTags("</font>")
	request := client.Search(indexName).Highlight(highlight).Sort("PublishDate", false).Size(pageSize).Query(boolquery)
	searchByMatch, err := request.Do(context.Background())
	if searchByMatch != nil {
		matchResult, _ := json.Marshal(searchByMatch)
		utils.FileLog.Info("%s", string(matchResult))
		fmt.Println(len(searchByMatch.Hits.Hits))
		if searchByMatch.Hits != nil {
			for _, v := range searchByMatch.Hits.Hits {
				articleJson, err := v.Source.MarshalJSON()
				utils.FileLog.Info("%s", string(articleJson))
				if err != nil {
					return nil, 0, err
				}
				article := new(models.CygxArticleEs)
				err = json.Unmarshal(articleJson, &article)
				if err != nil {
					return nil, 0, err
				}
				searchItem := new(models.SearchItem)
				searchItem.ArticleId, _ = strconv.Atoi(v.Id)
				if len(v.Highlight["BodyText"]) > 0 {
					searchItem.Body = v.Highlight["BodyText"]
				} else {
					bodyRune := []rune(article.BodyText)
					bodyRuneLen := len(bodyRune)
					if bodyRuneLen > 100 {
						bodyRuneLen = 100
					}
					body := string(bodyRune[:bodyRuneLen])
					searchItem.Body = []string{body}
				}
				var title string
				if len(v.Highlight["Title"]) > 0 {
					title = v.Highlight["Title"][0]
				} else {
					title = article.Title
				}
				searchItem.Title = title
				searchItem.PublishDate = article.PublishDate
				searchItem.ExpertBackground = article.ExpertBackground
				searchItem.CategoryId = article.CategoryId
				result = append(result, searchItem)
			}
		}
		total = searchByMatch.Hits.TotalHits.Value
	}
	return
}

func EsSearchReport(indexName, keyWord string, startSize, pageSize, userId int) (result []*models.SearchItem, total int64, err error) {
	client := utils.Client
	keyWordArr, err := GetIndustryMapNameSliceV3(keyWord)
	keyWordArr = RemoveDuplicatesAndEmpty(keyWordArr)
	n := 0
	keyWordLen := len(keyWordArr)
	if keyWordLen <= 0 {
		keyWordArr = append(keyWordArr, keyWord)
		keyWordLen = len(keyWordArr)
	}
	for _, v := range keyWordArr {
		fmt.Println(v)
	}

	utils.FileLog.Info("SearchKeyWord:%s, userId:%s", keyWordArr, strconv.Itoa(userId))
	for _, v := range keyWordArr {
		if v != "" {
			matchArr := make([]elastic.Query, 0)
			boolquery := elastic.NewBoolQuery()
			bodyFunctionQuery := elastic.NewFunctionScoreQuery()
			bodyFunctionQuery2 := elastic.NewFunctionScoreQuery()

			multiMatch := elastic.NewMultiMatchQuery(v, "Title").Analyzer("ik_smart")
			bodyFunctionQuery.Query(multiMatch)
			matchArr = append(matchArr, bodyFunctionQuery)

			multiMatch = elastic.NewMultiMatchQuery(1, "IsReport")
			bodyFunctionQuery2.Query(multiMatch)
			matchArr = append(matchArr, bodyFunctionQuery2)
			boolquery.Must(matchArr...)

			highlight := elastic.NewHighlight()
			highlight = highlight.PreTags("<font color='red'>").PostTags("</font>")
			highlight = highlight.Fields(elastic.NewHighlighterField("Title"))
			request := client.Search(indexName).Highlight(highlight).Sort("PublishDate", false).From(0).Size(pageSize).Query(boolquery)

			searchByMatch, err := request.Do(context.Background())
			if err != nil {
				return nil, 0, err
			}
			if searchByMatch != nil {
				if searchByMatch.Hits != nil {
					for _, v := range searchByMatch.Hits.Hits {
						var isAppend bool
						articleJson, err := v.Source.MarshalJSON()
						if err != nil {
							return nil, 0, err
						}
						article := new(models.CygxArticleEs)
						err = json.Unmarshal(articleJson, &article)
						if err != nil {
							return nil, 0, err
						}
						searchItem := new(models.SearchItem)
						searchItem.ArticleId, _ = strconv.Atoi(v.Id)
						var title string
						if len(v.Highlight["Title"]) > 0 {
							title = v.Highlight["Title"][0]
						} else {
							title = article.Title
						}
						searchItem.Title = title
						searchItem.PublishDate = article.PublishDate
						for _, v_result := range result {
							if v_result.ArticleId == searchItem.ArticleId {
								isAppend = true
							}
						}
						if !isAppend {
							result = append(result, searchItem)
						}
					}
				}
			}
		}
		n++
	}
	total = int64(len(result))
	return
}

func EsArticleSearch(keyWord string, startSize, pageSize int, orderColumn string, ikType int) (result []*models.SearchItem, total int64, err error) {
	indexName := utils.IndexName
	client := utils.Client
	keyWordArr, err := GetIndustryMapNameSliceV3(keyWord)
	keyWordArr = RemoveDuplicatesAndEmpty(keyWordArr)
	keyWordLen := len(keyWordArr)
	if keyWordLen <= 0 {
		keyWordArr = append(keyWordArr, keyWord)
		keyWordLen = len(keyWordArr)
	}
	fmt.Println(keyWordArr)
	//如果没有联想词，而且查询的还是联想词就返回
	if ikType == 2 && keyWordLen == 1 {
		return
	}
	//Es 的高级查询有 自定义排序 文档一时半会儿撸不懂，先做多次查询手动过滤 2023.2.2
	//ikType 查询方式 ，0：查所有 、 1:查询键入词 、 2：查询除了查询键入词之外的联想词
	mustMap := make([]interface{}, 0)
	shouldMap := make(map[string]interface{}, 0)
	shouldMapquery := make([]interface{}, 0)

	mustNotMap := make([]interface{}, 0)
	shouldNotMap := make(map[string]interface{}, 0)
	shouldNotMapquery := make([]interface{}, 0)
	// @Param   OrderColumn   query   int  true       "排序字段 ，Comprehensive综合 ，Matching匹配度 ，PublishDate 发布时间 "
	//keyWordWeight := GetWeight(keyWordLen)
	var boost int
	//lenkeyWordArr := len(keyWordArr)
	for k, v := range keyWordArr {
		if k == 0 {
			boost = 2 * 1000
		} else {
			boost = 1
		}

		//如果是 2：查询除了查询键入词之外的联想词
		if k == 0 && ikType == 2 {
			if v != "" {
				shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
					"function_score": map[string]interface{}{
						"query": map[string]interface{}{
							"multi_match": map[string]interface{}{
								//"boost":  (lenkeyWordArr - k) * boost, //给查询的值赋予权重
								"boost":  boost, //给查询的值赋予权重
								"fields": []interface{}{"Title"},
								"query":  v,
							},
						},
					},
				})
				shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
					"function_score": map[string]interface{}{
						"query": map[string]interface{}{
							"multi_match": map[string]interface{}{
								"boost":  boost, //给查询的值赋予权重
								"fields": []interface{}{"Abstract"},
								"query":  v,
							},
						},
					},
				})
				shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
					"function_score": map[string]interface{}{
						"query": map[string]interface{}{
							"multi_match": map[string]interface{}{
								"boost":  boost, //给查询的值赋予权重
								"fields": []interface{}{"Annotation"},
								"query":  v,
							},
						},
					},
				})

				shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
					"function_score": map[string]interface{}{
						"query": map[string]interface{}{
							"multi_match": map[string]interface{}{
								//"boost":  (lenkeyWordArr-k)*boost - 1, //给查询的值赋予权重
								"boost":  boost, //给查询的值赋予权重
								"fields": []interface{}{"BodyText"},
								"query":  v,
							},
						},
					},
				})
			}
			continue
		}
		//如果是 1：查询键入词
		if k > 0 && ikType == 1 {
			continue
		}

		if v != "" {
			shouldMapquery = append(shouldMapquery, map[string]interface{}{
				"function_score": map[string]interface{}{
					"query": map[string]interface{}{
						"multi_match": map[string]interface{}{
							//"boost":  (lenkeyWordArr - k) * boost, //给查询的值赋予权重
							"boost":  boost, //给查询的值赋予权重
							"fields": []interface{}{"Title"},
							"query":  v,
						},
					},
				},
			})
			shouldMapquery = append(shouldMapquery, map[string]interface{}{
				"function_score": map[string]interface{}{
					"query": map[string]interface{}{
						"multi_match": map[string]interface{}{
							"boost":  boost, //给查询的值赋予权重
							"fields": []interface{}{"Abstract"},
							"query":  v,
						},
					},
				},
			})
			shouldMapquery = append(shouldMapquery, map[string]interface{}{
				"function_score": map[string]interface{}{
					"query": map[string]interface{}{
						"multi_match": map[string]interface{}{
							"boost":  boost, //给查询的值赋予权重
							"fields": []interface{}{"Annotation"},
							"query":  v,
						},
					},
				},
			})

			shouldMapquery = append(shouldMapquery, map[string]interface{}{
				"function_score": map[string]interface{}{
					"query": map[string]interface{}{
						"multi_match": map[string]interface{}{
							//"boost":  (lenkeyWordArr-k)*boost - 1, //给查询的值赋予权重
							"boost":  boost, //给查询的值赋予权重
							"fields": []interface{}{"BodyText"},
							"query":  v,
						},
					},
				},
			})
		}
	}
	shouldMap = map[string]interface{}{
		"should": shouldMapquery,
	}

	shouldNotMap = map[string]interface{}{
		"should": shouldNotMapquery,
	}
	//排序
	sortMap := make([]interface{}, 0)

	//时间
	sortMap = append(sortMap, map[string]interface{}{
		"PublishDate": map[string]interface{}{
			"order": "desc",
		},
	})
	//sortMap = append(sortMap, map[string]interface{}{
	//	"_score": map[string]interface{}{
	//		"order": "desc",
	//	},
	//})
	//高亮
	highlightMap := make(map[string]interface{}, 0)
	highlightMap = map[string]interface{}{
		"fields": map[string]interface{}{
			"BodyText":   map[string]interface{}{},
			"Title":      map[string]interface{}{},
			"Abstract":   map[string]interface{}{},
			"Annotation": map[string]interface{}{},
		},
		//样式 红色
		"post_tags":     []interface{}{"</font>"},
		"pre_tags":      []interface{}{"<font color='red'>"},
		"fragment_size": 50,
	}

	mustMap = append(mustMap, map[string]interface{}{
		"bool": shouldMap,
	})
	mustNotMap = append(mustNotMap, map[string]interface{}{
		"bool": shouldNotMap,
	})

	queryMap := map[string]interface{}{
		"query": map[string]interface{}{
			"bool": map[string]interface{}{
				"must": mustMap,
			},
		},
	}
	//把第一次键入词的筛选条件过滤掉
	if ikType == 2 {
		queryMap = map[string]interface{}{
			"query": map[string]interface{}{
				"bool": map[string]interface{}{
					"must":     mustMap,
					"must_not": mustNotMap,
				},
			},
		}
	}
	if orderColumn == "Matching" {
		queryMap["sort"] = sortMap
	}
	queryMap["from"] = startSize
	queryMap["size"] = pageSize
	queryMap["highlight"] = highlightMap
	jsonBytes, _ := json.Marshal(queryMap)
	fmt.Println(string(jsonBytes))
	//utils.FileLog.Info(string(jsonBytes))
	request := client.Search(indexName).Source(queryMap) // sets the JSON request
	searchByMatch, err := request.Do(context.Background())
	if searchByMatch != nil {
		if searchByMatch.Hits != nil {
			for _, v := range searchByMatch.Hits.Hits {
				var isAppend bool
				articleJson, err := v.Source.MarshalJSON()
				if err != nil {
					return nil, 0, err
				}
				article := new(models.CygxArticleEs)
				err = json.Unmarshal(articleJson, &article)
				if err != nil {
					return nil, 0, err
				}
				searchItem := new(models.SearchItem)
				searchItem.ArticleId, _ = strconv.Atoi(v.Id)
				if len(v.Highlight["Annotation"]) > 0 {
					for _, vText := range v.Highlight["Annotation"] {
						searchItem.Body = append(searchItem.Body, vText)
					}
				}
				if len(v.Highlight["Abstract"]) > 0 {
					for _, vText := range v.Highlight["Abstract"] {
						searchItem.Body = append(searchItem.Body, vText)
					}
				}
				if len(v.Highlight["BodyText"]) > 0 {
					for _, vText := range v.Highlight["BodyText"] {
						searchItem.Body = append(searchItem.Body, vText)
					}
				}

				if len(searchItem.Body) == 0 {
					bodyRune := []rune(article.BodyText)
					bodyRuneLen := len(bodyRune)
					if bodyRuneLen > 100 {
						bodyRuneLen = 100
					}
					body := string(bodyRune[:bodyRuneLen])
					searchItem.Body = []string{body}
				}

				//if len(v.Highlight["BodyText"]) > 0 {
				//	searchItem.Body = v.Highlight["BodyText"]
				//} else {
				//	bodyRune := []rune(article.BodyText)
				//	bodyRuneLen := len(bodyRune)
				//	if bodyRuneLen > 100 {
				//		bodyRuneLen = 100
				//	}
				//	body := string(bodyRune[:bodyRuneLen])
				//	searchItem.Body = []string{body}
				//}
				var title string
				if len(v.Highlight["Title"]) > 0 {
					title = v.Highlight["Title"][0]
				} else {
					title = article.Title
				}
				searchItem.Title = title
				searchItem.PublishDate = article.PublishDate
				searchItem.ExpertBackground = article.ExpertBackground
				searchItem.CategoryId = article.CategoryId
				for _, v_result := range result {
					if v_result.ArticleId == searchItem.ArticleId {
						isAppend = true
					}
				}
				if !isAppend {
					result = append(result, searchItem)
				}
			}
		}
		total = searchByMatch.Hits.TotalHits.Value
	}
	return
}

func EsArticleSearchBody(keyWord string, startSize, pageSize int, orderColumn string, searchType int) (result []*models.SearchItem, total int64, err error) {
	if keyWord == "" {
		return
	}
	indexName := utils.IndexName
	client := utils.Client

	//Es 的高级查询有 自定义排序 文档一时半会儿撸不懂，先做多次查询手动过滤 2023.2.2
	//ikType 查询方式 ，0：查所有 、 1:查询键入词 、 2：查询除了查询键入词之外的联想词
	mustMap := make([]interface{}, 0)
	shouldMap := make(map[string]interface{}, 0)
	shouldMapquery := make([]interface{}, 0)

	mustNotMap := make([]interface{}, 0)
	shouldNotMap := make(map[string]interface{}, 0)
	shouldNotMapquery := make([]interface{}, 0)
	// @Param   OrderColumn   query   int  true       "排序字段 ，Comprehensive综合 ，Matching匹配度 ，PublishDate 发布时间 "
	//keyWordWeight := GetWeight(keyWordLen)
	var boost int

	//如果是 2：查询标题，摘要，核心观点的词
	if searchType == 1 {
		shouldMapquery = append(shouldMapquery, map[string]interface{}{
			"function_score": map[string]interface{}{
				"query": map[string]interface{}{
					"multi_match": map[string]interface{}{
						"boost":  boost, //给查询的值赋予权重
						"fields": []interface{}{"Title"},
						"query":  keyWord,
					},
				},
			},
		})
		shouldMapquery = append(shouldMapquery, map[string]interface{}{
			"function_score": map[string]interface{}{
				"query": map[string]interface{}{
					"multi_match": map[string]interface{}{
						"boost":  boost, //给查询的值赋予权重
						"fields": []interface{}{"Abstract"},
						"query":  keyWord,
					},
				},
			},
		})
		shouldMapquery = append(shouldMapquery, map[string]interface{}{
			"function_score": map[string]interface{}{
				"query": map[string]interface{}{
					"multi_match": map[string]interface{}{
						"boost":  boost, //给查询的值赋予权重
						"fields": []interface{}{"Annotation"},
						"query":  keyWord,
					},
				},
			},
		})
	}

	//如果是 2：查询body的相关词
	if searchType == 2 {

		shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
			"function_score": map[string]interface{}{
				"query": map[string]interface{}{
					"multi_match": map[string]interface{}{
						"boost":  boost, //给查询的值赋予权重
						"fields": []interface{}{"Title"},
						"query":  keyWord,
					},
				},
			},
		})
		shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
			"function_score": map[string]interface{}{
				"query": map[string]interface{}{
					"multi_match": map[string]interface{}{
						"boost":  boost, //给查询的值赋予权重
						"fields": []interface{}{"Abstract"},
						"query":  keyWord,
					},
				},
			},
		})
		shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
			"function_score": map[string]interface{}{
				"query": map[string]interface{}{
					"multi_match": map[string]interface{}{
						"boost":  boost, //给查询的值赋予权重
						"fields": []interface{}{"Annotation"},
						"query":  keyWord,
					},
				},
			},
		})

		//shouldNotMapquery = append(shouldNotMapquery, map[string]interface{}{
		//	"function_score": map[string]interface{}{
		//		"query": map[string]interface{}{
		//			"multi_match": map[string]interface{}{
		//				//"boost":  (lenkeyWordArr-k)*boost - 1, //给查询的值赋予权重
		//				"boost":  boost, //给查询的值赋予权重
		//				"fields": []interface{}{"BodyText"},
		//				"query":  keyWord,
		//			},
		//		},
		//	},
		//})
		shouldMapquery = append(shouldMapquery, map[string]interface{}{
			"function_score": map[string]interface{}{
				"query": map[string]interface{}{
					"multi_match": map[string]interface{}{
						//"boost":  (lenkeyWordArr-k)*boost - 1, //给查询的值赋予权重
						"boost":  boost, //给查询的值赋予权重
						"fields": []interface{}{"BodyText"},
						"query":  keyWord,
					},
				},
			},
		})
	}

	shouldMap = map[string]interface{}{
		"should": shouldMapquery,
	}

	shouldNotMap = map[string]interface{}{
		"should": shouldNotMapquery,
	}
	//排序
	sortMap := make([]interface{}, 0)

	//时间
	sortMap = append(sortMap, map[string]interface{}{
		"PublishDate": map[string]interface{}{
			"order": "desc",
		},
	})
	//高亮
	highlightMap := make(map[string]interface{}, 0)
	highlightMap = map[string]interface{}{
		"fields": map[string]interface{}{
			"BodyText":   map[string]interface{}{},
			"Title":      map[string]interface{}{},
			"Abstract":   map[string]interface{}{},
			"Annotation": map[string]interface{}{},
		},
		//样式 红色
		"post_tags":     []interface{}{"</font>"},
		"pre_tags":      []interface{}{"<font color='red'>"},
		"fragment_size": 50,
	}

	mustMap = append(mustMap, map[string]interface{}{
		"bool": shouldMap,
	})
	mustNotMap = append(mustNotMap, map[string]interface{}{
		"bool": shouldNotMap,
	})

	queryMap := map[string]interface{}{
		"query": map[string]interface{}{
			"bool": map[string]interface{}{
				"must": mustMap,
			},
		},
	}
	//把第一次的筛选条件过滤掉
	if searchType == 2 {
		queryMap = map[string]interface{}{
			"query": map[string]interface{}{
				"bool": map[string]interface{}{
					"must":     mustMap,
					"must_not": mustNotMap,
				},
			},
		}
	}
	if orderColumn == "Matching" {
		queryMap["sort"] = sortMap
	}
	queryMap["from"] = startSize
	queryMap["size"] = pageSize
	queryMap["highlight"] = highlightMap
	jsonBytes, _ := json.Marshal(queryMap)
	fmt.Println(string(jsonBytes))
	//utils.FileLog.Info(string(jsonBytes))
	request := client.Search(indexName).Source(queryMap) // sets the JSON request
	searchByMatch, err := request.Do(context.Background())
	if searchByMatch != nil {
		if searchByMatch.Hits != nil {
			for _, v := range searchByMatch.Hits.Hits {
				var isAppend bool
				articleJson, err := v.Source.MarshalJSON()
				if err != nil {
					return nil, 0, err
				}
				article := new(models.CygxArticleEs)
				err = json.Unmarshal(articleJson, &article)
				if err != nil {
					return nil, 0, err
				}
				searchItem := new(models.SearchItem)
				searchItem.ArticleId, _ = strconv.Atoi(v.Id)
				if len(v.Highlight["Annotation"]) > 0 {
					for _, vText := range v.Highlight["Annotation"] {
						searchItem.Body = append(searchItem.Body, vText)
					}
				}
				if len(v.Highlight["Abstract"]) > 0 {
					for _, vText := range v.Highlight["Abstract"] {
						searchItem.Body = append(searchItem.Body, vText)
					}
				}
				if len(v.Highlight["BodyText"]) > 0 {
					for _, vText := range v.Highlight["BodyText"] {
						searchItem.Body = append(searchItem.Body, vText)
					}
				}

				if len(searchItem.Body) == 0 {
					bodyRune := []rune(article.BodyText)
					bodyRuneLen := len(bodyRune)
					if bodyRuneLen > 100 {
						bodyRuneLen = 100
					}
					body := string(bodyRune[:bodyRuneLen])
					searchItem.Body = []string{body}
				}

				//if len(v.Highlight["BodyText"]) > 0 {
				//	searchItem.Body = v.Highlight["BodyText"]
				//} else {
				//	bodyRune := []rune(article.BodyText)
				//	bodyRuneLen := len(bodyRune)
				//	if bodyRuneLen > 100 {
				//		bodyRuneLen = 100
				//	}
				//	body := string(bodyRune[:bodyRuneLen])
				//	searchItem.Body = []string{body}
				//}
				var title string
				if len(v.Highlight["Title"]) > 0 {
					title = v.Highlight["Title"][0]
				} else {
					title = article.Title
				}
				searchItem.Title = title
				searchItem.PublishDate = article.PublishDate
				searchItem.ExpertBackground = article.ExpertBackground
				searchItem.CategoryId = article.CategoryId
				for _, v_result := range result {
					if v_result.ArticleId == searchItem.ArticleId {
						isAppend = true
					}
				}
				if !isAppend {
					result = append(result, searchItem)
				}
			}
		}
		total = searchByMatch.Hits.TotalHits.Value
	}
	return
}