private List <Models.ViewSearchContentModel> SearchBookContent()
{
var indexPath = @"C:\Users\Victor\Desktop\LuceneNetDir";
var kw = Common.WebCommon.GetPanGuWord(Request["txtContent"]);
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();
foreach (var word in kw)//先用空格，让用户去分词，空格分隔的就是词"计算机 专业"
{
query.Add(new Term("body", word));
}
//WITH_POSITIONS_OFFSETS -> 盘古分词在建立索引的时候已经将干扰词间距记录，lucene.net只要匹配就可以了
query.Slop = 100;//多个查询条件词之间的最大距离，在文章中相隔太远也就无意义（例如 “大学生”这个查询条件和“简历”这个查询条件之间如果间隔的词太多也就没有意义了。）
//TopScoreDocCollector是盛放查询结果的容器
TopScoreDocCollector collector = TopScoreDocCollector.Create(1000, true);
searcher.Search(query, null, collector); //根据query查询条件进行查询，查询结果放入cllector容器
ScoreDoc[] docs = collector.TopDocs(0, collector.TotalHits).ScoreDocs; //得到所有查询结果中的文档，collector.TotalHits:表示总条数；TopDocs(300,20):表示得到300(从300开始)，到320(结束）的文档内容
var list = new List <Models.ViewSearchContentModel>();
//可以用来实现分页内容
for (int i = 0; i < docs.Length; i++)
{
//搜索ScoreDoc[]只能获得文档的id，这样不会把查询结果的Document一次性加载到内存中。降低了内存的压力，需要获得文档的详细内容的时候通过searcher.Doc来根据文档id来获得文档的详细内容对象document
int docId = docs[i].Doc; //得到查询结果文档的id(Lucene内容分配的id)
Document doc = searcher.Doc(docId); //找到文档id对应的文档详细信息
list.Add(new Models.ViewSearchContentModel
{
Id = doc.Get("Id"),
Title = doc.Get("Title"),
Content = Common.WebCommon.CreateHighLight(Request["txtContent"], doc.Get("Content"))//搜索内容关键字高亮显示
});
}
SearchDetailsBll.AddEntity(new SearchDetails
{
Id = Guid.NewGuid(),
KeyWords = Request["txtContent"],
SearchDateTime = DateTime.Now,
});
return(list);
}
/// <summary>
/// 获取页面视图模型
/// </summary>
/// <param name="page"></param>
/// <param name="size"></param>
/// <param name="orderBy"></param>
/// <param name="user"></param>
/// <returns></returns>
private async Task <IndexPageViewModel> GetIndexPageViewModelAsync(int page, int size, OrderBy orderBy, UserInfoOutputDto user)
{
IQueryable <PostOutputDto> postList = PostBll.LoadEntitiesNoTracking <PostOutputDto>(p => (p.Status == Status.Pended || user.IsAdmin)); //准备文章的查询
var notices = NoticeBll.LoadPageEntitiesFromL2CacheNoTracking <DateTime, NoticeOutputDto>(1, 5, out int _, n => (n.Status == Status.Display || user.IsAdmin), n => n.ModifyDate, false).ToList(); //加载前5条公告
var cats = await CategoryBll.LoadEntitiesFromL2CacheNoTrackingAsync <string, CategoryOutputDto>(c => c.Status == Status.Available, c => c.Name).ConfigureAwait(true); //加载分类目录
var comments = CommentBll.LoadPageEntitiesFromL2CacheNoTracking <DateTime, CommentOutputDto>(1, 10, out int _, c => c.Status == Status.Pended && c.Post.Status == Status.Pended || user.IsAdmin, c => c.CommentDate, false).ToList(); //加在新评论
var start = DateTime.Today.AddDays(-7);
var hotSearches = await SearchDetailsBll.LoadEntitiesNoTracking(s => s.SearchTime > start, s => s.SearchTime, false).GroupBy(s => s.KeyWords.ToLower()).OrderByDescending(g => g.Count()).Take(10).Select(g => new KeywordsRankOutputDto()
{
KeyWords = g.FirstOrDefault().KeyWords,
SearchCount = g.Count()
}).ToListAsync(); //热词统计
var hot6Post = await(new Random().Next() % 2 == 0 ? postList.OrderByDescending(p => p.ViewCount) : postList.OrderByDescending(p => p.VoteUpCount)).Skip(0).Take(5).Cacheable().ToListAsync(); //热门文章
var topPostWeek = await PostBll.SqlQuery <SimplePostModel>("SELECT [Id],[Title] from Post WHERE Id in (SELECT top 10 PostId FROM [dbo].[PostAccessRecord] where DATEDIFF(week,AccessTime,getdate())<=1 GROUP BY PostId ORDER BY sum(ClickCount) desc)").ToListAsync(); //文章周排行
var topPostMonth = await PostBll.SqlQuery <SimplePostModel>("SELECT [Id],[Title] from Post WHERE Id in (SELECT top 10 PostId FROM [dbo].[PostAccessRecord] where DATEDIFF(month,AccessTime,getdate())<=1 GROUP BY PostId ORDER BY sum(ClickCount) desc)").ToListAsync(); //文章月排行
var topPostYear = await PostBll.SqlQuery <SimplePostModel>("SELECT [Id],[Title] from Post WHERE Id in (SELECT top 10 PostId FROM [dbo].[PostAccessRecord] where DATEDIFF(year,AccessTime,getdate())<=1 GROUP BY PostId ORDER BY sum(ClickCount) desc)").ToListAsync(); //文章年度排行
var tags = new List <string>(); //标签云
var tagdic = new Dictionary <string, int>();
var newdic = new Dictionary <string, int>(); //标签云最终结果
postList.Select(p => p.Label).ToList().ForEach(m =>
{
if (!string.IsNullOrEmpty(m))
{
tags.AddRange(m.Split(',', '，'));
}
});//统计标签
tags.GroupBy(s => s).ForEach(g =>
{
tagdic.Add(g.Key, g.Count());
}); //将标签分组
if (tagdic.Any())
{
int min = tagdic.Values.Min();
tagdic.ForEach(kv =>
{
var fontsize = (int)Math.Floor(kv.Value * 1.0 / (min * 1.0) + 12.0);
newdic.Add(kv.Key, fontsize >= 36 ? 36 : fontsize);
});
}
IList <PostOutputDto> posts;
switch (orderBy)//文章排序
{
case OrderBy.CommentCount:
posts = postList.OrderByDescending(p => p.IsFixedTop).ThenByDescending(p => p.Comment.Count).Skip(size * (page - 1)).Take(size).ToList();
break;
case OrderBy.PostDate:
posts = postList.OrderByDescending(p => p.IsFixedTop).ThenByDescending(p => p.PostDate).Skip(size * (page - 1)).Take(size).ToList();
break;
case OrderBy.ViewCount:
posts = postList.OrderByDescending(p => p.IsFixedTop).ThenByDescending(p => p.ViewCount).Skip(size * (page - 1)).Take(size).ToList();
break;
case OrderBy.VoteCount:
posts = postList.OrderByDescending(p => p.IsFixedTop).ThenByDescending(p => p.VoteUpCount).Skip(size * (page - 1)).Take(size).ToList();
break;
default:
posts = postList.OrderByDescending(p => p.IsFixedTop).ThenByDescending(p => p.ModifyDate).Skip(size * (page - 1)).Take(size).ToList();
break;
}
return(new IndexPageViewModel()
{
Categories = cats.ToList(),
Comments = comments,
HotSearch = hotSearches,
Notices = notices,
Posts = posts,
Tags = newdic,
Top6Post = hot6Post,
TopPostByMonth = topPostMonth,
TopPostByWeek = topPostWeek,
TopPostByYear = topPostYear,
PostsQueryable = postList
});
}
