/// <summary>
/// 从索引库中检索关键字
/// </summary>
/// <param name="sourceList">检索关键字 </param>
public List<MetaSource> SearchFromIndexData(string kewWords)
{
FSDirectory directory = FSDirectory.Open(new DirectoryInfo(IndexPath), new NoLockFactory());
IndexReader reader = IndexReader.Open(directory, true);
IndexSearcher searcher = new IndexSearcher(reader);
//搜索条件
PhraseQuery query = new PhraseQuery();
//把用户输入的关键字进行分词
foreach (string word in SplitContent.SplitWords(kewWords))
{
query.Add(new Term(Constants.CONTENT, word));
}
//query.Add(new Term("content", "C#"));//多个查询条件时 为且的关系
//指定关键词相隔最大距离
query.Slop=100;
//TopScoreDocCollector盛放查询结果的容器
TopScoreDocCollector collector = TopScoreDocCollector.Create(200, true);
//根据query查询条件进行查询，查询结果放入collector容器
searcher.Search(query, null, collector);
//TopDocs 指定0到GetTotalHits() 即所有查询结果中的文档 如果TopDocs(20,10)则意味着获取第20-30之间文档内容 达到分页的效果
ScoreDoc[] docs = collector.TopDocs(0, collector.TotalHits).ScoreDocs;
//展示数据实体对象集合
List<MetaSource> searchResult = new List<MetaSource>();
for (int i = 0; i < docs.Length; i++)
{
//得到查询结果文档的id（Lucene内部分配的id）
int docId = docs[i].Doc;
//根据文档id来获得文档对象Document
Document doc = searcher.Doc(docId);
MetaSource result = new MetaSource();
result.Title = doc.Get(Constants.TITILE);
//搜索关键字高亮显示 使用盘古提供高亮插件
result.Content = SplitContent.HightLight(kewWords, doc.Get(Constants.CONTENT));
result.Time = doc.Get(Constants.TIME);
result.Imgs = doc.Get(Constants.IMGS);
result.Url = doc.Get(Constants.URL);
searchResult.Add(result);
}
return searchResult;
}
/// <summary>
/// 按页从索引库中检索关键字
/// </summary>
/// <param name="kewWords">关键字</param>
/// <param name="startRowIndex">第几页</param>
/// <param name="pagesize">页大小</param>
/// <param name="totalHits">匹配总数</param>
/// <returns></returns>
public List<MetaSource> SearchFromIndexDataByPage(string kewWords, int startRowIndex, int pagesize, out int totalHits)
{
FSDirectory directory = FSDirectory.Open(new DirectoryInfo(IndexPath), new NoLockFactory());
IndexReader reader = IndexReader.Open(directory, true);
IndexSearcher searcher = new IndexSearcher(reader);
//搜索条件
BooleanQuery query=new BooleanQuery();
PhraseQuery titleQuery = new PhraseQuery();
PhraseQuery contentQuery = new PhraseQuery();
//把用户输入的关键字进行分词
foreach (string word in SplitContent.SplitWords(kewWords))
{
titleQuery.Add(new Term(Constants.TITILE, word));
contentQuery.Add(new Term(Constants.CONTENT, word));
}
//query.Add(new Term("content", "C#"));//多个查询条件时 为且的关系
//指定关键词相隔最大距离
titleQuery.Slop = 20;
contentQuery.Slop = 100;
// 建立标题与内容或的关系
query.Add(new BooleanClause(titleQuery, Occur.SHOULD));
query.Add(new BooleanClause(contentQuery, Occur.SHOULD));
//TopScoreDocCollector盛放查询结果的容器
TopScoreDocCollector collector = TopScoreDocCollector.Create(500, true);
//根据query查询条件进行查询，查询结果放入collector容器
searcher.Search(query, null, collector);
//TopDocs 指定0到GetTotalHits() 即所有查询结果中的文档 如果TopDocs(20,10)则意味着获取第20-30之间文档内容 达到分页的效果
int endIndex =
startRowIndex * pagesize > collector.TotalHits ? collector.TotalHits : startRowIndex * pagesize;
ScoreDoc[] docs = collector.TopDocs((startRowIndex - 1) * pagesize, endIndex).ScoreDocs;
//展示数据实体对象集合
List<MetaSource> searchResult = new List<MetaSource>();
for (int i = 0; i < docs.Length; i++)
{
//得到查询结果文档的id（Lucene内部分配的id）
int docId = docs[i].Doc;
//根据文档id来获得文档对象Document
Document doc = searcher.Doc(docId);
MetaSource result = new MetaSource();
//搜索关键字高亮显示 使用盘古提供高亮插件
result.Title = SplitContent.HightLight(kewWords, doc.Get(Constants.TITILE));
result.Content = SplitContent.HightLight(kewWords, doc.Get(Constants.CONTENT));
result.Time = doc.Get(Constants.TIME);
result.Imgs = doc.Get(Constants.IMGS);
result.Url = doc.Get(Constants.URL);
result.CreatedTime = Convert.ToDateTime(doc.Get(Constants.CREATETIME));
result.ProvinceId = doc.Get(Constants.PROVINCEID);
result.CityId = doc.Get(Constants.CITYID);
result.AreaId = doc.Get(Constants.AREAID);
result.ResourceId = Convert.ToInt32(doc.Get(Constants.RESOURCEID));
result.ResultType = (SearchResultType)(Convert.ToInt32(doc.Get(Constants.RESULTTYPE)));
searchResult.Add(result);
}
totalHits = collector.TotalHits;
return searchResult;
}
public ActionResult SiteSerach(FormCollection form)
{
PublicConfig serachConfig = null;
try
{
DateTime LastUpdateTime;
string result = string.Empty;
const string http = "http://{0}/";
string baseroot = string.Format(http, Request.Url.Authority);
// Use related url instead of full url, becuase always link to PC site when view search result in wechat client.
//string baseroot = "/";
serachConfig = GetConfig();
LastUpdateTime = serachConfig.LastUpdatedTime;
IndexManager indexManager =
new IndexManager(Server.MapPath(IndexPath), Server.MapPath(DictPath));
List<MetaSource> sourceList = new List<MetaSource>();
MetaSource source = null;
int newAddIndex = 0;
#region 活动
ActivityService activityService=new ActivityService();
List<Activity> activities = activityService.QueryActivities(
new QueryActivityCriteria
{
QueryType = 6,
LastUpdatedTime = LastUpdateTime,
PageSize = int.MaxValue,
StartRowIndex = 1,
});
if (activities != null && activities.Count > 0)
{
foreach (Activity n in activities)
{
source = new MetaSource()
{
ResourceId = n.Id,
Title = n.Title,
Time = n.CreatedTime.Value.ToShortDateString(),
CreatedTime = n.CreatedTime.Value,
ResultType = SearchResultType.Activity,
ProvinceId = n.Province,
CityId = n.City,
AreaId = n.Area
};
source.Url = GenFullUrl(baseroot, n.Id, "activity");
source.Imgs = string.Empty;
if (n.ImgUrls != null && n.ImgUrls.Length > 0)
{
foreach (var img in n.ImgUrls)
{
source.Imgs = source.Imgs + split + img;
}
source.Imgs = source.Imgs.TrimStart(split.ToCharArray());
}
// 过滤内容
source.Content = ParseTags(n.ContentStyle);
source.CheckFields(baseroot);
sourceList.Add(source);
newAddIndex++;
}
}
#endregion
#region 资源
ResourceManager resourceManager = new ResourceManager();
var resources = resourceManager.GetResourcesByTime(LastUpdateTime);
if (resources != null && resources.Count > 0)
{
foreach (Witbird.SHTS.DAL.New.Resource n in resources)
{
source = new MetaSource()
{
ResourceId = n.Id,
Title = n.Title,
Time = n.LastUpdatedTime.ToShortDateString(),
CreatedTime = n.LastUpdatedTime,
// 资源存储类型为场地1， 演员2，设备3，其他4
ResultType = (SearchResultType)(n.ResourceType - 1),
ProvinceId = n.ProvinceId,
CityId = n.CityId,
AreaId = n.AreaId
};
source.Url = GenFullUrl(baseroot, n.Id, "Resource");
source.Imgs = string.Empty;
if (n.ImgUrls != null && n.ImgUrls.Length > 0)
{
foreach (var img in n.ImgUrls)
{
source.Imgs = source.Imgs + split + img;
}
source.Imgs = source.Imgs.TrimStart(split.ToCharArray());
}
// 过滤内容
source.Content = ParseTags(n.Description);
source.CheckFields(baseroot);
sourceList.Add(source);
}
}
#endregion
#region 需求
DemandManager demandManager = new DemandManager();
var demands = demandManager.QueryDemandsByTime(LastUpdateTime);
if (demands != null && demands.Count > 0)
{
foreach (Demand n in demands)
{
source = new MetaSource()
{
ResourceId = n.Id,
Title = n.Title,
Time = n.InsertTime.ToShortDateString(),
CreatedTime = n.InsertTime,
ResultType = SearchResultType.Demand,
ProvinceId = n.Province,
CityId = n.City,
AreaId = n.Area
};
source.Url = GenFullUrl(baseroot, n.Id, "Demand");
source.Imgs = string.Empty;
// 过滤内容
source.Content = ParseTags(n.Description);
source.CheckFields(baseroot);
sourceList.Add(source);
}
}
#endregion
indexManager.AddIndexByData(sourceList);
serachConfig.LastUpdatedTime=DateTime.Now;
UpdateConfig(serachConfig);
}
catch (Exception e)
{
LogService.Log("Cretae Serach index", e.ToString());
}
return View(serachConfig);
}
